Methods and systems for generating a sharable script related to an input digital model on a digital platform are provided. The method includes receiving a user request indicative of a digital task involving an input digital model, and retrieving a corresponding input digital model file. Then, determining characteristic attributes of the input digital model, where the characteristic attributes include digital artifacts generated from the input digital model file. Then, selecting from a collection of templates, using a machine learning (ML) engine, a template matching the characteristic attributes of the input digital model. The ML engine may be trained on documentations of digital tools integrated into the digital platform, a resource-capability mapping of the digital platform, and sample digital thread orchestration scripts collected through past uses of the digital platform. Finally, the method includes generating the sharable script that implements the digital task, based on the selected template.
Systems and methods for completing a digital task using an alternative digital tool are provided. The method may include receiving a user request indicative of the digital task; retrieving a digital model file; and identifying a platform function from a resource-capability mapping of the digital platform. An execution of the platform function may complete the digital task on the digital model file, and the platform function may be associated with a given function schema. Next, identifying, from the resource-capability mapping, an initial function variant of the platform function implemented with an initial digital tool. Then, retrieving, from the resource -capability mapping, an alternative function variant of the platform function implemented with the alternative digital tool, both the initial and the alternative function variants complying with the given function schema. And finally, executing the alternative function variant to complete the digital task on the digital model file using the alternative digital tool.
Methods and systems for a document review process are provided. The method includes receiving an input digital model representation comprising at least one externally-accessible model endpoint for generating a digital artifact. Then, generating a document splice comprising access to multiple document subunits, with at least one document subunit written in a natural language and comprising the digital artifact; the access to each document subunit is provided through an externally-accessible document endpoint for the subunit. Then, generating a document by combining the document subunits, and generating a view associated with the document, based on an user authorization result including selective access rights to the document subunits. The view comprises access to the digital model representation, the digital artifact, each document subunit, and the document. Finally, receiving a user input and updating, via one of the externally-accessible document endpoints, the document splice based on the user input.
Methods and systems for generating a sharable model splice of a digital engineering (DE) model are provided. The method comprises receiving a DE model file in a native file format; extracting model data; storing the model data in a storage area; generating external, commonly-accessible splice functions that enable external access to digital artifacts derived from the model data; and generating the sharable model splice, which comprises access to a selective portion of the digital artifacts, and access to at least one of the splice functions. The splice functions provide addressable API or SDK endpoints that enable access by third-party applications and users to the digital artifacts without access to an entirety of the DE model file and without requiring direct engagement with a DE tool associated with the DE model type. These endpoints also provide a unified programming interface to sharable model splices generated from DE models.
G06F 8/71 - Version control Configuration management
G06F 30/27 - Design optimisation, verification or simulation using machine learning, e.g. artificial intelligence, neural networks, support vector machines [SVM] or training a model
5.
DATA SOVEREIGNTY ASSURANCE FOR ARTIFICIAL INTELLIGENCE (AI) MODELS
Deploying neural networks that use unique data sources generated by enterprises as training or input data has significant potential to unlock novel insights and domain-specific Al capabilities. However, data owners are often hesitant to share their proprietary and valuable datasets with third parties for training neural networks, even though doing so could provide significant benefits. Similarly, neural network owners are reluctant to expose their confidential weights and biases, which represent critical intellectual property. The proposed solution is based on both data and neural network parameters being transformed into a secure mathematical space, enabling collaborative training and deployment of neural networks without exposing sensitive information. The solution proposed here resolves data and neural network model privacy issues by allowing data owners and neural network owners to work together securely, ensuring that neither party's assets are compromised, while still enabling effective collaboration.
Methods, systems, and apparatus, including computer programs encoded on computer storage media, for secure communications in a digital engineering ecosystem. In some implementations, a digital platform receives a request from a user device to interact with a digital model. The digital platform determines whether a user operating the user device is authorized. In response to determining the user is authorized to access the digital platform, the digital platform generates a token that provides the user with access to the digital platform. The digital platform determines whether the request includes malicious activity. In response to determining that the request is absent of the malicious activity, the digital platform executes a digital thread that executes one or more operations using digital tools and the digital model. The digital platform provides data indicative of the one or more operations executing the digital thread to the user device.
A computer-implemented method includes receiving design and/or engineering data (D/E data) corresponding to a prototype representation of a product and transmitting one or more inputs derived from the D/E data to one or more digital engineering tools for processing. The method also includes receiving engineering-related data outputs from the one or more digital engineering tools and receiving data corresponding to one or more common validation and verification (V&V products). The method further includes identifying one or more requirements for the product based on the data corresponding to the one or more common V&V products; determining whether or not the one or more requirements have been satisfied; and presenting information corresponding to the engineering-related data outputs and/or the data corresponding to the one or more common V&V products. The method also includes receiving instructions from the user device, and performing one or more manipulations of the D/E data.
G06F 30/20 - Design optimisation, verification or simulation
G06F 30/12 - Geometric CAD characterised by design entry means specially adapted for CAD, e.g. graphical user interfaces [GUI] specially adapted for CAD
G06F 30/15 - Vehicle, aircraft or watercraft design
G06F 30/27 - Design optimisation, verification or simulation using machine learning, e.g. artificial intelligence, neural networks, support vector machines [SVM] or training a model
8.
Software-Code-Defined Digital Threads in Digital Engineering Systems with Artificial Intelligence (AI) Assistance
Methods and systems for generating digital threads that connect models and software tools for an interconnected digital engineering and certification ecosystem are provided. In one embodiment, a process for generating a software-code-defined digital thread includes receiving a first model representation of a first engineering model, a second model representation of a second engineering model, and an intent input. Determining, using a machine learning (ML) model, one or more model endpoints in the first and the second model representations. Generating, using a script-generating ML model, a platform orchestration script that accomplishes the intent input by connecting the first model representation and the second model representation, using the one or more model endpoints. Finally, storing the platform orchestration script as the software-code-defined digital thread. The digital threading of digital engineering models, with and without AI assistance, leads to exponential increases in efficiency of designing, testing, certifying, manufacturing, and operating physical products, allowing physical products to be made at digital speeds.
Methods, systems, and apparatus, including computer programs encoded on computer storage media, for quantifying avoided carbon emissions. The approach includes receiving, from a client device in communication with a digital platform, a request to execute a task by the digital platform. A token is assigned by the digital platform, the token is configured to uniquely identify the received request to execute the task using the digital platform. The digital platform receives a first value representing a baseline execution cost associated with executing the task. The digital platform determines, using the assigned token and based on execution of the task using the digital platform, a second value representing a reduction in execution cost attained by using the digital platform. The digital platform generates, based on a comparison of the second value to the first value, an attained execution reduction cost associated with the execution of the task by the digital platform.
Methods, systems, and apparatus, including computer programs encoded on computer storage media, for quantifying avoided carbon emissions. The approach includes receiving, from a client device in communication with a digital platform, a request to execute a task by the digital platform. A token is assigned by the digital platform, the token is configured to uniquely identify the received request to execute the task using the digital platform. The digital platform receives a first value representing a baseline execution cost associated with executing the task. The digital platform determines, using the assigned token and based on execution of the task using the digital platform, a second value representing a reduction in execution cost attained by using the digital platform. The digital platform generates, based on a comparison of the second value to the first value, an attained execution reduction cost associated with the execution of the task by the digital platform.
G06F 30/20 - Design optimisation, verification or simulation
G06F 30/12 - Geometric CAD characterised by design entry means specially adapted for CAD, e.g. graphical user interfaces [GUI] specially adapted for CAD
G06F 30/27 - Design optimisation, verification or simulation using machine learning, e.g. artificial intelligence, neural networks, support vector machines [SVM] or training a model
11.
TOKEN MANAGEMENT IN A DIGITAL ENGINEERING PLATFORM
Methods, systems, and apparatus, including computer programs encoded on computer storage media, for security of a digital engineering ecosystem. In some implementations, a digital platform receives a request to execute an operation on a digital model. The digital platform generates a fungible idempotent token that uniquely identifies the request. The digital platform selects data that identifies one or more tools for executing the operation. The digital platform generates one or more nonfungible idempotent tokens associated with the data that identifies the one or more selected tools. The digital platform executes the operation on the digital model using the tools. While executing the operation, the digital platform determines whether to additionally execute the operation on the digital model based on a subsequent request. In response to determining that the additional execution of the operation has been requested while the operation is being executed, the digital platform prevents the additional execution.
G06F 21/10 - Protecting distributed programs or content, e.g. vending or licensing of copyrighted material
H04L 9/06 - Arrangements for secret or secure communicationsNetwork security protocols the encryption apparatus using shift registers or memories for blockwise coding, e.g. D.E.S. systems
12.
TOKEN MANAGEMENT IN A DIGITAL ENGINEERING PLATFORM
Methods, systems, and apparatus, including computer programs encoded on computer storage media, for security of a digital engineering ecosystem. In some implementations, a digital platform receives a request to execute an operation on a digital model. The digital platform generates a fungible idempotent token that uniquely identifies the request. The digital platform selects data that identifies one or more tools for executing the operation. The digital platform generates one or more nonfungible idempotent tokens associated with the data that identifies the one or more selected tools. The digital platform executes the operation on the digital model using the tools. While executing the operation, the digital platform determines whether to additionally execute the operation on the digital model based on a subsequent request. In response to determining that the additional execution of the operation has been requested while the operation is being executed, the digital platform prevents the additional execution.
Systems and methods for artificial intelligence (Al) assisted workflow integration for software development in a digital model platform are provided. In one embodiment, the methods receive a user selection of a target digital tool from a plurality of digital tools that are not directly interoperable with each other. Receive a user request comprising a description of a function script executable by the digital model platform on a target digital model type associated with the target digital tool. Fine-tune a scripting Al agent on prior user actions involving the target digital tool and on a resource-capability mapping of the digital model platform. Generate the function script and generate a unit test script, where the unit test script when interpreted tests the function script against the description. Finally, interpret the unit test script to generate a verification result for the function script; and, generate a test report based on the verification result.
Systems and methods for optimizing a digital workflow within a digital platform are provided. An illustrative method includes generating, based on a user request, a decentralized digital thread associated with the digital workflow, and generating a workflow data structure based on the decentralized digital thread. The method also includes calculating a workflow cost associated with executing one or more workflow tasks of the workflow data structure, and identifying a cost-reducing modification to the workflow data structure. Finally, the method includes generating an updated workflow data structure and a corresponding updated decentralized digital thread based on tire identified modification. In various embodiments, the cost-reducing modification is identified using expert user feedback, a graph optimization algorithm, a workflow optimization machine learning model, and/or a prediction machine learning model.
Methods and systems for a document review process are provided. The method includes receiving an input digital model representation comprising at least one extemally-accessible model endpoint for generating a digital artifact. Then, generating a document splice comprising access to multiple document subunits, with at least one document subunit written in a natural language and comprising the digital artifact; the access to each document subunit is provided through an extemally-accessible document endpoint for the subunit. Then, generating a document by combining the document subunits, and generating a view associated with the document, based on an user authorization result including selective access rights to the document subunits. Tire view comprises access to the digital model representation, the digital artifact, each document subunit, and the document. Finally, receiving a user input and updating, via one of the extemally-accessible document endpoints, the document splice based on the user input.
Methods and systems for artificial intelligence (Al) assisted automation of testing of a software functionality related to a user intent on a software platform is provided. In one embodiment, the method includes receiving user action data indicating the user intent related to a software platform and generating a human-readable test scenario. The test scenario, which includes a sequence of human-readable testing steps and an expected outcome, is generated using a scenario machine learning (ML) model. The method includes generating an interpretable test script based on the test scenario using a script ML model. The test script is interpreted to implement testing steps on the software platform, generating a test outcome. A human-readable test report is also generated to evaluate the test scenario on the software platform, based on the test outcome and the expected outcome.
Methods, systems, and apparatus, including computer programs encoded on computer storage media, for secure communications in a digital engineering ecosystem. In some implementations, a digital platform receives a request from a user device to interact with a digital model. The digital platform determines whether a user operating the user device is authorized. In response to determining the user is authorized to access the digital platform, the digital platform generates a token that provides the user with access to the digital platform. The digital platform determines whether the request includes malicious activity. In response to determining that the request is absent of the malicious activity, the digital platform executes a digital thread that executes one or more operations using digital tools and the digital model. The digital platform provides data indicative of the one or more operations executing the digital thread to the user device.
G06F 21/54 - Monitoring users, programs or devices to maintain the integrity of platforms, e.g. of processors, firmware or operating systems during program execution, e.g. stack integrity, buffer overflow or preventing unwanted data erasure by adding security routines or objects to programs
G06F 30/33 - Design verification, e.g. functional simulation or model checking
18.
Securing an interconnected digital engineering and certification ecosystem
Methods, systems, and apparatus, including computer programs encoded on computer storage media, for secure communications in a digital engineering ecosystem. In some implementations, a digital platform receives a request from a user device to interact with a digital model. The digital platform determines whether a user operating the user device is authorized. In response to determining the user is authorized to access the digital platform, the digital platform generates a token that provides the user with access to the digital platform. The digital platform determines whether the request includes malicious activity. In response to determining that the request is absent of the malicious activity, the digital platform executes a digital thread that executes one or more operations using digital tools and the digital model. The digital platform provides data indicative of the one or more operations executing the digital thread to the user device.
Methods and systems for generating a live digital document are provided. The method includes receiving a static document file including human-readable data. Then, parsing the static document file into a plurality of subunits. Then, generating a sharable document splice of the static document file. Hie sharable document splice includes access to a subset of the plurality of subunits, and the access is provided through an Application Programming Interface (API) or Software Development Kit (SDK) endpoint for each subunit in the subset. Then, executing a digital thread script to generate the live digital document from the sharable document splice and an input digital model representation, using API or SDK endpoints in the sharable document splice. The live digital document is configured through the digital thread script to reflect changes in the input digital model representation. Finally, adding execution metadata for the execution of the digital thread script to the live digital document.
Methods and systems for generating a sharable script related to an input digital model on a digital platform are provided. The method includes receiving a user request indicative of a digital task involving an input digital model, and retrieving a corresponding input digital model file. Then, determining characteristic attributes of the input digital model, where the characteristic attributes include digital artifacts generated from the input digital model file. Then, selecting from a collection of templates, using a machine learning (ML) engine, a template matching the characteristic attributes of the input digital model. The ML engine may be trained on documentations of digital tools integrated into the digital platform, a resource-capability mapping of the digital platform, and sample digital thread orchestration scripts collected through past uses of the digital platform. Finally, the method includes generating the sharable script that implements the digital task, based on the selected template.
G05B 19/418 - Total factory control, i.e. centrally controlling a plurality of machines, e.g. direct or distributed numerical control [DNC], flexible manufacturing systems [FMS], integrated manufacturing systems [IMS] or computer integrated manufacturing [CIM]
G06F 30/12 - Geometric CAD characterised by design entry means specially adapted for CAD, e.g. graphical user interfaces [GUI] specially adapted for CAD
21.
MULTIMODAL USER INTERFACES FOR INTERACTING WITH DIGITAL MODEL FILES
Methods and systems enabling multimodal inputs for interacting with a live digital object are provided. The system receives the live digital object which includes a digital artifact extracted from a digital model file through a model representation. The system receives a user's security level and determines the user's access permission and modification permission to access and modify the digital artifact. The system accesses a multimodal interface configured to receive a conversational input and a spatial input, outputs the digital artifact to the multimodal interface based on tire access permission, receives from the multimodal interface a conversational input and a spatial input from tire user, and generates a modified digital artifact from the digital artifact via the digital model representation, based on the modification permission and on the conversational or spatial input. The multimodal interface may include conventional interfaces (GUIs/ APIs), conversational interfaces (text/voice), and spatial computing interfaces (VR/AR/MR/gestural).
G06F 21/57 - Certifying or maintaining trusted computer platforms, e.g. secure boots or power-downs, version controls, system software checks, secure updates or assessing vulnerabilities
G06F 21/10 - Protecting distributed programs or content, e.g. vending or licensing of copyrighted material
22.
GENERATIVE ARTIFICIAL INTELLIGENCE (AI) FOR DIGITAL WORKFLOWS
An artificial intelligence (Al) assisted generative digital task fulfillment process within digital model platforms is provided. Disclosed are methods and systems for carrying out digital tasks through generative Al, including tasks related to the streamlined design, validation, verification, certification, assembly, operations, and maintenance processes of complex systems. Hie method includes receiving access to a context Al model trained on Internet-scale data, receiving a user prompt indicating the digital task, and generating contextual data based on the user prompt using the context Al model, where the contextual data identifies a syntax Al model. The method includes training the syntax Al model to generate a template script having a placeholder variable for a parameter related to the digital task. The method also includes using a parameter substitution process to generate the orchestration script by substituting the variable with a parameter value.
Methods and systems for generating a digital model splicer are provided. The method comprises training a first Al model and a second Al model on an interconnected digital model platform (IDMP) platfonn resource-capability mapping; generating input and output schemas for a target digital model tool using the first Al model, wherein the first Al model is prompted based on an identifier for the target digital tool; generating a plurality of function scripts executable by the IDMP using a second Al model, wherein the second Al model is prompted based on the input and output schemas, and wherein at least one function script calls Application Programming Interface (API) or Software Development Kit (SDK) functions associated with the target digital tool, using the input and output schemas; and storing the input and output schemas and the plurality of function scripts as the digital model splicer for the target digital tool.
Methods, systems, and apparatus, including computer programs encoded on computer storage media, for securely certifying products in an ecosystem. In some implementations, a digital platform receives a user request to access digital models. The digital platform determines whether the user is authorized to access the digital models. In response, the digital platform generates a transaction request to send to a location of the digital models, wherein the transaction request comprises data identifying operations to perform using the digital models. The digital platform transmits, to the location of the digital models, the generated transaction request that causes execution of the operations. The digital platform receives data representative of a result of the operations performed. The digital platform provides, to a user interface of the user device, the data representative of the result. The digital platform audits the data related to the transaction request and the data representative of the result.
A digital model platform that enables the streamlined creation and management of digital twins and physical twins by leveraging external feedback and artificial intelligence (Al) is disclosed. Methods and systems for a model collaboration platform that facilitate the integration of external feedback, whether from physical, virtual, or human sources, into the streamlined design, validation, verification, certification, assembly, operations, and maintenance processes of complex systems. Updated results are output to those external sources, including physical twins, other digital twins or models and simulations, and/or human users. External feedback includes feedback data from physical prototypes and their environment, virtual prototypes, simulations, and subject-matter experts. Embodiments are directed to integrating external feedback into the assembly and system-level assessment of digital twins, physical twins, digital threads, and the iterative design of constituting digital engineering models, including constructing, maintaining, and improving digital engineering models for the design, validation, verification, certification, operations, and maintenance of complex systems.
G05B 13/00 - Adaptive control systems, i.e. systems automatically adjusting themselves to have a performance which is optimum according to some preassigned criterion
B60W 20/12 - Controlling the power contribution of each of the prime movers to meet required power demand using control strategies taking into account route information
Methods and systems for generating digital threads that connect models and software tools for an interconnected digital engineering and certification ecosystem are provided. In one embodiment, a process for generating a software-code-defined digital thread includes receiving a first model representation of a first engineering model, a second model representation of a second engineering model, and an intent input. Determining, using a machine learning (ML) model, one or more model endpoints in the first and the second model representations. Generating, using a script-generating ML model, a platform orchestration script that accomplishes the intent input by connecting the first model representation and the second model representation, using the one or more model endpoints. Finally, storing the platfonn orchestration script as the software-code-defined digital thread. The digital threading of digital engineering models, with and without Al assistance, leads to exponential increases in efficiency of designing, testing, certifying, manufacturing, and operating physical products, allowing physical products to be made at digital speeds.
Methods, systems, and apparatus, including computer programs encoded on computer storage media, for securely certifying products in an ecosystem. In some implementations, a digital platform receives a user request to access digital models. The digital platform determines whether the user is authorized to access the digital models. In response, the digital platform generates a transaction request to send to a location of the digital models, wherein the transaction request comprises data identifying operations to perform using the digital models. The digital platform transmits, to the location of the digital models, the generated transaction request that causes execution of the operations. The digital platform receives data representative of a result of the operations performed. The digital platform provides, to a user interface of the user device, the data representative of the result. The digital platform audits the data related to the transaction request and the data representative of the result.
Methods and systems for generating a sharable model splice of a digital engineering (DE) model are provided. The method comprises receiving a DE model file in a native file fomat; extracting model data; storing the model data in a storage area; generating external, commonly-accessible splice functions that enable external access to digital artifacts derived from the model data; and generating the sharable model splice, which comprises access to a selective portion of the digital artifacts, and access to at least one of the splice functions. The splice functions provide addressable API or SDK endpoints that enable access by third-party applications and users to the digital artifacts without access to an entirety of the DE model file and without requiring direct engagement with a DE tool associated with the DE model type. These endpoints also provide a unified programming interface to sharable model splices generated from DE models having the same DE model type.
G05B 19/418 - Total factory control, i.e. centrally controlling a plurality of machines, e.g. direct or distributed numerical control [DNC], flexible manufacturing systems [FMS], integrated manufacturing systems [IMS] or computer integrated manufacturing [CIM]
G06F 8/71 - Version control Configuration management
G06F 21/62 - Protecting access to data via a platform, e.g. using keys or access control rules
29.
ARTIFICIAL INTELLIGENCE (AI) ASSISTED DIGITAL DOCUMENTATION FOR DIGITAL ENGINEERING
A digital documentation system for preparation of engineering documents utilizing one or more artificial intelligence (Al) algorithms is provided. The system includes a user interface for selecting and populating templates with data, and one or more Al algorithms for creating and recommending templates, and preparing documents based on the recommended templates. The system uses natural language processing and semantic analysis algorithms to understand the content of the templates, documents, and associated engineering data, and to generate and recommend relevant templates to the user based on user prompts. The system also uses machine learning and predictive modeling and decision-tree algorithms to assist with the preparation of documents, by generating suggestions for data fields and values based on the user's previous inputs and the overall context of the document and available engineering data, including model data and metadata from digital models accessed in a zero-trust framework.
A computer-implemented method includes receiving design and/or engineering data (D/E data) corresponding to a prototype representation of a product and transmitting one or more inputs derived from the D/E data to one or more digital engineering tools for processing. The method also includes receiving engineering-related data outputs from the one or more digital engineering tools and receiving data corresponding to one or more common validation and verification (V&V products). The method further includes identifying one or more requirements for the product based on the data corresponding to the one or more common V&V products; determining whether or not the one or more requirements have been satisfied; and presenting information corresponding to the engineering-related data outputs and/or the data corresponding to the one or more common V&V products. The method also includes receiving instructions from the user device, and performing one or more manipulations of the D/E data.
G06F 30/20 - Design optimisation, verification or simulation
G06F 30/12 - Geometric CAD characterised by design entry means specially adapted for CAD, e.g. graphical user interfaces [GUI] specially adapted for CAD
G06F 30/15 - Vehicle, aircraft or watercraft design
G06F 30/27 - Design optimisation, verification or simulation using machine learning, e.g. artificial intelligence, neural networks, support vector machines [SVM] or training a model
31.
Interconnected digital engineering and certification ecosystem
A computer-implemented method includes receiving design and/or engineering data (D/E data) corresponding to a prototype representation of a product and transmitting one or more inputs derived from the D/E data to one or more digital engineering tools for processing. The method also includes receiving engineering-related data outputs from the one or more digital engineering tools and receiving data corresponding to one or more common validation and verification (V&V products). The method further includes identifying one or more requirements for the product based on the data corresponding to the one or more common V&V products; determining whether or not the one or more requirements have been satisfied; and presenting information corresponding to the engineering-related data outputs and/or the data corresponding to the one or more common V&V products. The method also includes receiving instructions from the user device, and performing one or more manipulations of the D/E data.
G06F 30/20 - Design optimisation, verification or simulation
G06F 30/12 - Geometric CAD characterised by design entry means specially adapted for CAD, e.g. graphical user interfaces [GUI] specially adapted for CAD
G06F 30/15 - Vehicle, aircraft or watercraft design
G06F 30/27 - Design optimisation, verification or simulation using machine learning, e.g. artificial intelligence, neural networks, support vector machines [SVM] or training a model
32.
Interconnected digital engineering and certification ecosystem
A computer-implemented method includes receiving design and/or engineering data (D/E data) corresponding to a prototype representation of a product and transmitting one or more inputs derived from the D/E data to one or more digital engineering tools for processing. The method also includes receiving engineering-related data outputs from the one or more digital engineering tools and receiving data corresponding to one or more common validation and verification (V&V products). The method further includes identifying one or more requirements for the product based on the data corresponding to the one or more common V&V products; determining whether or not the one or more requirements have been satisfied; and presenting information corresponding to the engineering-related data outputs and/or the data corresponding to the one or more common V&V products. The method also includes receiving instructions from the user device, and performing one or more manipulations of the D/E data.
G06F 30/20 - Design optimisation, verification or simulation
G06F 30/12 - Geometric CAD characterised by design entry means specially adapted for CAD, e.g. graphical user interfaces [GUI] specially adapted for CAD
G06F 30/15 - Vehicle, aircraft or watercraft design
G06F 30/27 - Design optimisation, verification or simulation using machine learning, e.g. artificial intelligence, neural networks, support vector machines [SVM] or training a model
33.
Interconnected digital engineering and certification ecosystem
A computer-implemented method includes receiving design and/or engineering data (D/E data) corresponding to a prototype representation of a product and transmitting one or more inputs derived from the D/E data to one or more digital engineering tools for processing. The method also includes receiving engineering-related data outputs from the one or more digital engineering tools and receiving data corresponding to one or more common validation and verification (V&V products). The method further includes identifying one or more requirements for the product based on the data corresponding to the one or more common V&V products; determining whether or not the one or more requirements have been satisfied; and presenting information corresponding to the engineering-related data outputs and/or the data corresponding to the one or more common V&V products. The method also includes receiving instructions from the user device, and performing one or more manipulations of the D/E data.
G06F 30/20 - Design optimisation, verification or simulation
G06F 30/12 - Geometric CAD characterised by design entry means specially adapted for CAD, e.g. graphical user interfaces [GUI] specially adapted for CAD
G06F 30/15 - Vehicle, aircraft or watercraft design
G06F 30/27 - Design optimisation, verification or simulation using machine learning, e.g. artificial intelligence, neural networks, support vector machines [SVM] or training a model
An unmanned vehicle includes at least one navigation sensor configured to measure navigation data indicative of an environment, at least one status sensor configured to measure status data indicative of operating parameters of a hardware system and a computing system. The computing system includes a navigation engine configured to receive the navigation data and status data and plan a path through the environment and a security engine. The security engine is configured to detect that an unauthorized user is attempting to access the navigation data or the status data, send an alert to an authorized user indicating that the unauthorized user is attempting to access navigation data or status data, and send, to the unauthorized user, simulated data including one or both of simulated navigation data and simulated status data.
A system for managing missions for unmanned vehicles includes a computing interface and a flight management system. The computing interface is configured to communicate with at least one unmanned aerial vehicle (UAV) and a client device. The flight management system is in communication with the computing interface and includes one or more processors coupled to a memory. The flight management system is configured to receive mission parameters through the computing interface from the client device, the mission parameters being indicative of at least one action to be completed by the UAV during a flight of the UAV and one or more operational features of the UAV. The one or more operational features are a resource available to the UAV or a functional capability of the UAV for completing the at least one action. The flight management system is configured to generate a flight plan for the UAV, the flight plan including instructions for completing the at least one action by the UAV in accordance with the one or more operational features.
An unmanned aerial vehicle comprises a central body; at least one rotor motor configured to drive at least one propeller to rotate, rotation of the at least one propeller generating thrust and causing the unmanned aerial vehicle to fly; and an integrated micro hybrid generator system configured to provide power to the at least one rotor motor. The integrated micro hybrid generator system includes an engine configured to generate mechanical energy, and a generator motor directly coupled to the engine and configured to generate AC power using the mechanical energy generated by the engine.
B64U 50/19 - Propulsion using electrically powered motors
B60L 53/00 - Methods of charging batteries, specially adapted for electric vehiclesCharging stations or on-board charging equipment thereforExchange of energy storage elements in electric vehicles
B64C 39/02 - Aircraft not otherwise provided for characterised by special use
B64D 27/24 - Aircraft characterised by the type or position of power plants using steam or spring force
B64D 33/08 - Arrangement in aircraft of power plant parts or auxiliaries not otherwise provided for of power plant cooling systems
B64D 35/02 - Transmitting power from power plants to propellers or rotorsArrangements of transmissions specially adapted for specific power plants
09 - Scientific and electric apparatus and instruments
42 - Scientific, technological and industrial services, research and design
Goods & Services
Downloadable software for designing, analyzing, testing, and simulating digital models of complex physical objects and engineered models of complex physical objects; Downloadable software for designing, analyzing, testing, and simulating digital models of complex objects and engineered models of complex physical objects in the aerospace and automotive industries; downloadable software for designing, analyzing, testing and simulating planes, drones, helicopters, automobiles, and flying apparatuses and equipment; downloadable software for obtaining regulatory and governmental approval of planes, drones, helicopters, automobiles, and flying apparatuses and equipment designed via a digital engineering platform; downloadable software for obtaining regulatory and governmental approval of engineered complex physical objects designed via a digital engineering platform; downloadable software for creating, testing, certifying, and operating complex physical objects in a digital environment; downloadable software using artificial intelligence for creating model-to-model automations of complex physical objects; downloadable software for managing project tasks and workflows related to designing, analyzing, testing, and simulating digital models of complex physical objects and engineered models of complex physical objects; all aforementioned goods relating to a digital engineering platform and none of the foregoing including cybersecurity software, cybersecurity advisory services, or cybersecurity investing services for others. Software as a service (SaaS), platform as a service (PaaS), cloud computing, and providing temporary use of online non-downloadable software for designing, analyzing, testing, and simulating digital models of complex physical objects and engineered models of complex physical objects; Software as a service (SaaS), platform as a service (PaaS), cloud computing, and providing temporary use of online non-downloadable software for designing, analyzing, testing, and simulating digital models of complex physical objects and engineered models of complex physical objects in the aerospace and automotive industries; Software as a service (SaaS), platform as a service (PaaS), cloud computing, and providing temporary use of online non-downloadable software for designing, analyzing, testing and simulating planes, drones, helicopters, automobiles and flying apparatuses and equipment; Software as a service (SaaS), platform as a service (PaaS), cloud computing, and providing temporary use of online non-downloadable software for obtaining regulatory and governmental approval of engineered complex physical objects designed via a digital engineering platform; Software as a service (SaaS), platform as a service (PaaS), cloud computing, and providing temporary use of online non-downloadable software for obtaining regulatory and governmental approval of planes, drones, helicopters, automobiles, and flying apparatuses and equipment; Software as a service (SaaS), platform as a service (PaaS), cloud computing, and providing temporary use of online non-downloadable software for creating, testing, certifying, and operating complex physical objects in a digital environment; Software as a service (SaaS), platform as a service (PaaS), cloud computing, and providing temporary use of online non-downloadable software using artificial intelligence for creating model-to-model automations of complex physical objects; Software as a service (SaaS), platform as a service (PaaS), cloud computing, and providing temporary use of online non-downloadable software for managing project tasks and workflows related to designing, analyzing, testing, and simulating digital models of complex physical objects and engineered models of complex physical objects; all aforementioned services relating to digital engineering through a digital engineering platform and none of the foregoing including cybersecurity software, cybersecurity advisory services, or cybersecurity investing services for others.
09 - Scientific and electric apparatus and instruments
42 - Scientific, technological and industrial services, research and design
Goods & Services
Downloadable software for designing, analyzing, testing, and simulating digital models of complex physical objects and engineered models of complex physical objects; Downloadable software for designing, analyzing, testing, and simulating digital models of complex objects and engineered models of complex physical objects in the aerospace and automotive industries; downloadable software for designing, analyzing, testing and simulating planes, drones, helicopters, automobiles, and flying apparatuses and equipment; downloadable software for obtaining regulatory and governmental approval of planes, drones, helicopters, automobiles, and flying apparatuses and equipment designed via a digital engineering platform; downloadable software for obtaining regulatory and governmental approval of engineered complex physical objects designed via a digital engineering platform; downloadable software for creating, testing, certifying, and operating complex physical objects in a digital environment; downloadable software using artificial intelligence for creating model-to-model automations of complex physical objects; downloadable software for managing project tasks and workflows related to designing, analyzing, testing, and simulating digital models of complex physical objects and engineered models of complex physical objects; all aforementioned goods relating to a digital engineering platform and none of the foregoing including cybersecurity software, cybersecurity advisory services, or cybersecurity investing services for others. Software as a service (SaaS), platform as a service (PaaS), cloud computing, and providing temporary use of online non-downloadable software for designing, analyzing, testing, and simulating digital models of complex physical objects and engineered models of complex physical objects; Software as a service (SaaS), platform as a service (PaaS), cloud computing, and providing temporary use of online non-downloadable software for designing, analyzing, testing, and simulating digital models of complex physical objects and engineered models of complex physical objects in the aerospace and automotive industries; Software as a service (SaaS), platform as a service (PaaS), cloud computing, and providing temporary use of online non-downloadable software for designing, analyzing, testing and simulating planes, drones, helicopters, automobiles and flying apparatuses and equipment; Software as a service (SaaS), platform as a service (PaaS), cloud computing, and providing temporary use of online non-downloadable software for obtaining regulatory and governmental approval of engineered complex physical objects designed via a digital engineering platform; Software as a service (SaaS), platform as a service (PaaS), cloud computing, and providing temporary use of online non-downloadable software for obtaining regulatory and governmental approval of planes, drones, helicopters, automobiles, and flying apparatuses and equipment; Software as a service (SaaS), platform as a service (PaaS), cloud computing, and providing temporary use of online non-downloadable software for creating, testing, certifying, and operating complex physical objects in a digital environment; Software as a service (SaaS), platform as a service (PaaS), cloud computing, and providing temporary use of online non-downloadable software using artificial intelligence for creating model-to-model automations of complex physical objects; Software as a service (SaaS), platform as a service (PaaS), cloud computing, and providing temporary use of online non-downloadable software for managing project tasks and workflows related to designing, analyzing, testing, and simulating digital models of complex physical objects and engineered models of complex physical objects; all aforementioned services relating to digital engineering through a digital engineering platform and none of the foregoing including cybersecurity software, cybersecurity advisory services, or cybersecurity investing services for others.
09 - Scientific and electric apparatus and instruments
42 - Scientific, technological and industrial services, research and design
Goods & Services
Downloadable software for designing, analyzing, testing, and simulating digital models and engineered models; Downloadable software for designing, analyzing, testing, and simulating digital models and engineered models in the aerospace and automotive industries; downloadable software for designing, analyzing, testing and simulating planes, drones, helicopters, automobiles, and flying apparatuses and equipment; downloadable software for obtaining regulatory and governmental approval of planes, drones, helicopters, automobiles, and flying apparatuses and equipment; downloadable software for obtaining regulatory and governmental approval of engineered objects; downloadable software for creating, testing, certifying, and operating physical objects and processes in a digital environment; downloadable software using artificial intelligence for creating model-to-model automations; downloadable software for managing project tasks and workflows. Software as a service (SaaS), platform as a service (PaaS), cloud computing, and providing temporary use of online non-downloadable software for designing, analyzing, testing, and simulating digital models and engineered models; Software as a service (SaaS), platform as a service (PaaS), cloud computing, and providing temporary use of online non-downloadable software for designing, analyzing, testing, and simulating digital models and engineered models in the aerospace and automotive industries; Software as a service (SaaS), platform as a service (PaaS), cloud computing, and providing temporary use of online non-downloadable software for designing, analyzing, testing and simulating planes, drones, helicopters, automobiles and flying apparatuses and equipment; Software as a service (SaaS), platform as a service (PaaS), cloud computing, and providing temporary use of online non-downloadable software for obtaining regulatory and governmental approval of engineered objects; Software as a service (SaaS), platform as a service (PaaS), cloud computing, and providing temporary use of online non-downloadable software for obtaining regulatory and governmental approval of planes, drones, helicopters, automobiles, and flying apparatuses and equipment; Software as a service (SaaS), platform as a service (PaaS), cloud computing, and providing temporary use of online non-downloadable software for creating, testing, certifying, and operating physical objects and processes in a digital environment; Software as a service (SaaS), platform as a service (PaaS), cloud computing, and providing temporary use of online non-downloadable software using artificial intelligence for creating model-to-model automations; Design of computer-simulated models; Software as a service (SaaS), platform as a service (PaaS), cloud computing, and providing temporary use of online non-downloadable software for managing project tasks and workflows.
40.
Interconnected digital engineering and certification ecosystem
A computer-implemented method includes receiving design and/or engineering data (D/E data) corresponding to a prototype representation of a product and transmitting one or more inputs derived from the D/E data to one or more digital engineering tools for processing. The method also includes receiving engineering-related data outputs from the one or more digital engineering tools and receiving data corresponding to one or more common validation and verification (V&V products). The method further includes identifying one or more requirements for the product based on the data corresponding to the one or more common V&V products; determining whether or not the one or more requirements have been satisfied; and presenting information corresponding to the engineering-related data outputs and/or the data corresponding to the one or more common V&V products. The method also includes receiving instructions from the user device, and performing one or more manipulations of the D/E data.
09 - Scientific and electric apparatus and instruments
42 - Scientific, technological and industrial services, research and design
Goods & Services
Downloadable software for designing, analyzing, testing, and simulating digital models of complex physical objects and engineered models of complex physical objects; Downloadable software for designing, analyzing, testing, and simulating digital models of complex objects and engineered models of complex physical objects in the aerospace and automotive industries; downloadable software for designing, analyzing, testing and simulating planes, drones, helicopters, automobiles, and flying apparatuses and equipment; downloadable software for obtaining regulatory and governmental approval of planes, drones, helicopters, automobiles, and flying apparatuses and equipment designed via a digital engineering platform; downloadable software for obtaining regulatory and governmental approval of engineered complex physical objects designed via a digital engineering platform; downloadable software for creating, testing, certifying, and operating complex physical objects in a digital environment; downloadable software using artificial intelligence for creating model-to-model automations of complex physical objects; downloadable software for managing project tasks and workflows related to designing, analyzing, testing, and simulating digital models of complex physical objects and engineered models of complex physical objects; all aforementioned goods relating to a digital engineering platform and none of the foregoing including cybersecurity software, cybersecurity advisory services, or cybersecurity investing services for others Software as a service (SaaS), platform as a service (PaaS), cloud computing, and providing temporary use of online non-downloadable software for designing, analyzing, testing, and simulating digital models of complex physical objects and engineered models of complex physical objects; Software as a service (SaaS), platform as a service (PaaS), cloud computing, and providing temporary use of online non-downloadable software for designing, analyzing, testing, and simulating digital models of complex physical objects and engineered models of complex physical objects in the aerospace and automotive industries; Software as a service (SaaS), platform as a service (PaaS), cloud computing, and providing temporary use of online non-downloadable software for designing, analyzing, testing and simulating planes, drones, helicopters, automobiles and flying apparatuses and equipment; Software as a service (SaaS), platform as a service (PaaS), cloud computing, and providing temporary use of online non-downloadable software for obtaining regulatory and governmental approval of engineered complex physical objects designed via a digital engineering platform; Software as a service (SaaS), platform as a service (PaaS), cloud computing, and providing temporary use of online non-downloadable software for obtaining regulatory and governmental approval of planes, drones, helicopters, automobiles, and flying apparatuses and equipment; Software as a service (SaaS), platform as a service (PaaS), cloud computing, and providing temporary use of online non-downloadable software for creating, testing, certifying, and operating complex physical objects in a digital environment; Software as a service (SaaS), platform as a service (PaaS), cloud computing, and providing temporary use of online non-downloadable software using artificial intelligence for creating model-to-model automations of complex physical objects; Software as a service (SaaS), platform as a service (PaaS), cloud computing, and providing temporary use of online non-downloadable software for managing project tasks and workflows related to designing, analyzing, testing, and simulating digital models of complex physical objects and engineered models of complex physical objects; all aforementioned services relating to digital engineering through a digital engineering platform and none of the foregoing including cybersecurity software, cybersecurity advisory services, or cybersecurity investing services for others
09 - Scientific and electric apparatus and instruments
42 - Scientific, technological and industrial services, research and design
Goods & Services
Downloadable software for designing, analyzing, testing, and simulating digital models of complex physical objects and engineered models of complex physical objects; Downloadable software for designing, analyzing, testing, and simulating digital models of complex objects and engineered models of complex physical objects in the aerospace and automotive industries; downloadable software for designing, analyzing, testing and simulating planes, drones, helicopters, automobiles, and flying apparatuses and equipment; downloadable software for obtaining regulatory and governmental approval of planes, drones, helicopters, automobiles, and flying apparatuses and equipment designed via a digital engineering platform; downloadable software for obtaining regulatory and governmental approval of engineered complex physical objects designed via a digital engineering platform; downloadable software for creating, testing, certifying, and operating complex physical objects in a digital environment; downloadable software using artificial intelligence for creating model-to-model automations of complex physical objects; downloadable software for managing project tasks and workflows related to designing, analyzing, testing, and simulating digital models of complex physical objects and engineered models of complex physical objects; all aforementioned goods relating to a digital engineering platform and none of the foregoing including cybersecurity software, cybersecurity advisory services, or cybersecurity investing services for others Software as a service (SaaS), platform as a service (PaaS), cloud computing, and providing temporary use of online non-downloadable software for designing, analyzing, testing, and simulating digital models of complex physical objects and engineered models of complex physical objects; Software as a service (SaaS), platform as a service (PaaS), cloud computing, and providing temporary use of online non-downloadable software for designing, analyzing, testing, and simulating digital models of complex physical objects and engineered models of complex physical objects in the aerospace and automotive industries; Software as a service (SaaS), platform as a service (PaaS), cloud computing, and providing temporary use of online non-downloadable software for designing, analyzing, testing and simulating planes, drones, helicopters, automobiles and flying apparatuses and equipment; Software as a service (SaaS), platform as a service (PaaS), cloud computing, and providing temporary use of online non-downloadable software for obtaining regulatory and governmental approval of engineered complex physical objects designed via a digital engineering platform; Software as a service (SaaS), platform as a service (PaaS), cloud computing, and providing temporary use of online non-downloadable software for obtaining regulatory and governmental approval of planes, drones, helicopters, automobiles, and flying apparatuses and equipment; Software as a service (SaaS), platform as a service (PaaS), cloud computing, and providing temporary use of online non-downloadable software for creating, testing, certifying, and operating complex physical objects in a digital environment; Software as a service (SaaS), platform as a service (PaaS), cloud computing, and providing temporary use of online non-downloadable software using artificial intelligence for creating model-to-model automations of complex physical objects; Software as a service (SaaS), platform as a service (PaaS), cloud computing, and providing temporary use of online non-downloadable software for managing project tasks and workflows related to designing, analyzing, testing, and simulating digital models of complex physical objects and engineered models of complex physical objects; all aforementioned services relating to digital engineering through a digital engineering platform and none of the foregoing including cybersecurity software, cybersecurity advisory services, or cybersecurity investing services for others
42 - Scientific, technological and industrial services, research and design
Goods & Services
Software as a service (SaaS), platform as a service (PaaS), cloud computing, and providing temporary use of online non-downloadable software for designing, analyzing, testing, and simulating digital models and engineered models; Software as a service (SaaS), platform as a service (PaaS), cloud computing, and providing temporary use of online non-downloadable software for designing, analyzing, testing, and simulating digital models and engineered models in the aerospace and automotive industries; Software as a service (SaaS), platform as a service (PaaS), cloud computing, and providing temporary use of online non-downloadable software for designing, analyzing, testing and simulating planes, drones, helicopters, automobiles and flying apparatuses and equipment; Software as a service (SaaS), platform as a service (PaaS), cloud computing, and providing temporary use of online non-downloadable software for obtaining regulatory and governmental approval of engineered objects; Software as a service (SaaS), platform as a service (PaaS), cloud computing, and providing temporary use of online non-downloadable software for obtaining regulatory and governmental approval of planes, drones, helicopters, automobiles, and flying apparatuses and equipment; Software as a service (SaaS), platform as a service (PaaS), cloud computing, and providing temporary use of online non-downloadable software for creating, testing, certifying, and operating physical objects and processes in a digital environment; Software as a service (SaaS), platform as a service (PaaS), cloud computing, and providing temporary use of online non-downloadable software using artificial intelligence for creating model-to-model automations; Design of computer-simulated models; Software as a service (SaaS), platform as a service (PaaS), cloud computing, and providing temporary use of online non-downloadable software for managing project tasks and workflows
09 - Scientific and electric apparatus and instruments
Goods & Services
Downloadable software for designing, analyzing, testing, and simulating digital models and engineered models; Downloadable software for designing, analyzing, testing, and simulating digital models and engineered models in the aerospace and automotive industries; downloadable software for designing, analyzing, testing and simulating planes, drones, helicopters, automobiles, and flying apparatuses and equipment; downloadable software for obtaining regulatory and governmental approval of planes, drones, helicopters, automobiles, and flying apparatuses and equipment; downloadable software for obtaining regulatory and governmental approval of engineered objects; downloadable software for creating, testing, certifying, and operating physical objects and processes in a digital environment; downloadable software using artificial intelligence for creating model-to-model automations; downloadable software for managing project tasks and workflows
09 - Scientific and electric apparatus and instruments
42 - Scientific, technological and industrial services, research and design
Goods & Services
Downloadable software for designing, analyzing, testing, and simulating digital models and engineered models; Downloadable software for designing, analyzing, testing, and simulating digital models and engineered models in the aerospace and automotive industries; downloadable software for designing, analyzing, testing and simulating planes, drones, helicopters, automobiles, and flying apparatuses and equipment; downloadable software for obtaining regulatory and governmental approval of planes, drones, helicopters, automobiles, and flying apparatuses and equipment; downloadable software for obtaining regulatory and governmental approval of engineered objects; downloadable software for creating, testing, certifying, and operating physical objects and processes in a digital environment; downloadable software using artificial intelligence for creating model-to-model automations; downloadable software for managing project tasks and workflows Software as a service (SaaS) services featuring software for designing, analyzing, testing, and simulating digital models and engineered models; platform as a service (PaaS) featuring software platforms for designing, analyzing, testing, and simulating digital models and engineered models; providing temporary use of online non-downloadable software for designing, analyzing, testing, and simulating digital models and engineered models; Software as a service (SaaS) services featuring software for designing, analyzing, testing, and simulating digital models and engineered models in the aerospace and automotive industries; Platform as a service (PaaS) featuring software platforms for designing, analyzing, testing, and simulating digital models and engineered models in the aerospace and automotive industries; online non-downloadable cloud computing software for designing, analyzing, testing, and simulating digital models and engineered models in the aerospace and automotive industries; providing temporary use of online non-downloadable software for designing, analyzing, testing, and simulating digital models and engineered models in the aerospace and automotive industries; Software as a service (SaaS) services featuring software for designing, analyzing, testing and simulating planes, drones, helicopters, automobiles and flying apparatuses and equipment; platform as a service (PaaS) featuring software platforms for designing, analyzing, testing and simulating planes, drones, helicopters, automobiles and flying apparatuses and equipment; online non-downloadable cloud computing software for designing, analyzing, testing and simulating planes, drones, helicopters, automobiles and flying apparatuses and equipment; providing temporary use of online non-downloadable software for designing, analyzing, testing and simulating planes, drones, helicopters, automobiles and flying apparatuses and equipment; Software as a service (SaaS) services featuring software for obtaining regulatory and governmental approval of engineered objects; platform as a service (PaaS) featuring software platforms for obtaining regulatory and governmental approval of engineered objects; online non-downloadable cloud computing software for obtaining regulatory and governmental approval of engineered objects; providing temporary use of online non-downloadable software for obtaining regulatory and governmental approval of engineered objects; Software as a service (SaaS) services featuring software for obtaining regulatory and governmental approval of planes, drones, helicopters, automobiles, and flying apparatuses and equipment; platform as a service (PaaS) featuring software platforms for obtaining regulatory and governmental approval of planes, drones, helicopters, automobiles, and flying apparatuses and equipment; online non-downloadable cloud computing software for obtaining regulatory and governmental approval of planes, drones, helicopters, automobiles, and flying apparatuses and equipment; providing temporary use of online non-downloadable software for obtaining regulatory and governmental approval of planes, drones, helicopters, automobiles, and flying apparatuses and equipment; Software as a service (SaaS) services featuring software for creating, testing, certifying, and operating physical objects and processes in a digital environment; platform as a service (PaaS) featuring software platforms for creating, testing, certifying, and operating physical objects and processes in a digital environment; online non-downloadable cloud computing software for creating, testing, certifying, and operating physical objects and processes in a digital environment; providing temporary use of online non-downloadable software for creating, testing, certifying, and operating physical objects and processes in a digital environment; Software as a service (SaaS) services featuring software using artificial intelligence for creating model-to-model automations; platform as a service (PaaS) featuring software platforms using artificial intelligence for creating model-to-model automations; online non-downloadable cloud computing software using artificial intelligence for creating model-to-model automations; providing temporary use of online non-downloadable software using artificial intelligence for creating model-to-model automations; Design of computer-simulated models; Software as a service (SaaS) services featuring software for managing project tasks and workflows; platform as a service (PaaS) featuring software platforms for managing project tasks and workflows; online non-downloadable cloud computing software for managing project tasks and workflows; providing temporary use of online non-downloadable software for managing project tasks and workflows
09 - Scientific and electric apparatus and instruments
42 - Scientific, technological and industrial services, research and design
Goods & Services
Downloadable software for designing, analyzing, testing, and simulating digital models and engineered models; Downloadable software for designing, analyzing, testing, and simulating digital models and engineered models in the aerospace and automotive industries; downloadable software for designing, analyzing, testing and simulating planes, drones, helicopters, automobiles, and flying apparatuses and equipment; downloadable software for obtaining regulatory and governmental approval of planes, drones, helicopters, automobiles, and flying apparatuses and equipment; downloadable software for obtaining regulatory and governmental approval of engineered objects; downloadable software for creating, testing, certifying, and operating physical objects and processes in a digital environment; downloadable software using artificial intelligence for creating model-to-model automations; downloadable software for managing project tasks and workflows Software as a service (SaaS) services featuring software for designing, analyzing, testing, and simulating digital models and engineered models; platform as a service (PaaS) featuring software platforms for designing, analyzing, testing, and simulating digital models and engineered models; online non-downloadable cloud computing software for designing, analyzing, testing, and simulating digital models and engineered models; providing temporary use of online non-downloadable software for designing, analyzing, testing, and simulating digital models and engineered models; Software as a service (SaaS) services featuring software for designing, analyzing, testing, and simulating digital models and engineered models in the aerospace and automotive industries; Platform as a service (PaaS) featuring software platforms for designing, analyzing, testing, and simulating digital models and engineered models in the aerospace and automotive industries; online non-downloadable cloud computing software for designing, analyzing, testing, and simulating digital models and engineered models in the aerospace and automotive industries; providing temporary use of online non-downloadable software for designing, analyzing, testing, and simulating digital models and engineered models in the aerospace and automotive industries; Software as a service (SaaS) services featuring software for designing, analyzing, testing and simulating planes, drones, helicopters, automobiles and flying apparatuses and equipment; platform as a service (PaaS) featuring software platforms for designing, analyzing, testing and simulating planes, drones, helicopters, automobiles and flying apparatuses and equipment; online non-downloadable cloud computing software for designing, analyzing, testing and simulating planes, drones, helicopters, automobiles and flying apparatuses and equipment; providing temporary use of online non-downloadable software for designing, analyzing, testing and simulating planes, drones, helicopters, automobiles and flying apparatuses and equipment; Software as a service (SaaS) services featuring software for obtaining regulatory and governmental approval of engineered objects; platform as a service (PaaS) featuring software platforms for obtaining regulatory and governmental approval of engineered objects; online non-downloadable cloud computing software for obtaining regulatory and governmental approval of engineered objects; providing temporary use of online non-downloadable software for obtaining regulatory and governmental approval of engineered objects; Software as a service (SaaS) services featuring software for obtaining regulatory and governmental approval of planes, drones, helicopters, automobiles, and flying apparatuses and equipment; platform as a service (PaaS) featuring software platforms for obtaining regulatory and governmental approval of planes, drones, helicopters, automobiles, and flying apparatuses and equipment; online non-downloadable cloud computing software for obtaining regulatory and governmental approval of planes, drones, helicopters, automobiles, and flying apparatuses and equipment; providing temporary use of online non-downloadable software for obtaining regulatory and governmental approval of planes, drones, helicopters, automobiles, and flying apparatuses and equipment; Software as a service (SaaS) services featuring software for creating, testing, certifying, and operating physical objects and processes in a digital environment; platform as a service (PaaS) featuring software platforms for creating, testing, certifying, and operating physical objects and processes in a digital environment; online non-downloadable cloud computing software for creating, testing, certifying, and operating physical objects and processes in a digital environment; providing temporary use of online non-downloadable software for creating, testing, certifying, and operating physical objects and processes in a digital environment; Software as a service (SaaS) services featuring software using artificial intelligence for creating model-to-model automations; platform as a service (PaaS) featuring software platforms using artificial intelligence for creating model-to-model automations; online non-downloadable cloud computing software using artificial intelligence for creating model-to-model automations; providing temporary use of online non-downloadable software using artificial intelligence for creating model-to-model automations; Design of computer-simulated models; Software as a service (SaaS) services featuring software for managing project tasks and workflows; platform as a service (PaaS) featuring software platforms for managing project tasks and workflows; online non-downloadable cloud computing software for managing project tasks and workflows; providing temporary use of online non-downloadable software for managing project tasks and workflows
This document describes an unmanned aerial vehicle (UAV) configured to navigate an unmanned aerial vehicle highway. The UAV includes a navigation system that includes a sensor, configured to gather environmental data, and a computing system configured to navigate the UAV. The computing system compares the environmental data to a specified data signature in the one or more spectra and determines a position of the unmanned aerial vehicle in the unmanned aerial vehicle highway. The UAV includes a hybrid generator system including an engine configured to generate mechanical energy and a generator motor coupled to the engine and configured to generate electrical energy from the mechanical energy generated by the engine. The UAV includes a rotor motor configured to drive a propeller to rotate. The navigation system is powered by the electrical energy generated by the generator motor.
This document describes an unmanned aerial vehicle (UAV) configured to navigate an unmanned aerial vehicle highway. The UAV includes a navigation system that includes a sensor, configured to gather environmental data, and a computing system configured to navigate the UAV. The computing system compares the environmental data to a specified data signature in the one or more spectra and determines a position of the unmanned aerial vehicle in the unmanned aerial vehicle highway. The UAV includes a hybrid generator system including an engine configured to generate mechanical energy and a generator motor coupled to the engine and configured to generate electrical energy from the mechanical energy generated by the engine. The UAV includes a rotor motor configured to drive a propeller to rotate. The navigation system is powered by the electrical energy generated by the generator motor.
An unmanned aerial vehicle includes multiple rotor arms; a rotor disposed at an end of each of the multiple rotor arms; and an adjustment component configured to enable a first rotor arm to move relative to a second rotor arm.
An unmanned aerial vehicle includes at least one rotor motor configured to drive at least one propeller to rotate; a passenger compartment sized to contain a human or animal passenger; and a hybrid generator system configured to provide power to the at least one rotor motor and to generate lift sufficient to carry the human or animal passenger. The hybrid generator system includes a rechargeable battery configured to provide power to the at least one rotor motor; an engine configured to generate mechanical power; and a generator motor coupled to the engine and configured to generate electrical power from the mechanical power generated by the engine.
A system includes a torque sensor; and a hybrid power system. The hybrid power sensor includes a frame; an engine mounted on the frame; and a generator, the generator including: a generator rotor mechanically coupled to a shaft of the engine; and a generator stator coupled to the frame by the torque sensor. The torque sensor is configured to measure a torque on the generator stator.
H02P 6/34 - Modelling or simulation for control purposes
H02K 11/24 - Devices for sensing torque, or actuated thereby
B64C 39/02 - Aircraft not otherwise provided for characterised by special use
B64D 27/24 - Aircraft characterised by the type or position of power plants using steam or spring force
B64F 5/60 - Testing or inspecting aircraft components or systems
B60K 6/26 - Arrangement or mounting of plural diverse prime-movers for mutual or common propulsion, e.g. hybrid propulsion systems comprising electric motors and internal combustion engines the prime-movers consisting of electric motors and internal combustion engines, e.g. HEVs characterised by apparatus, components or means specially adapted for HEVs characterised by the motors or the generators
B60K 6/24 - Arrangement or mounting of plural diverse prime-movers for mutual or common propulsion, e.g. hybrid propulsion systems comprising electric motors and internal combustion engines the prime-movers consisting of electric motors and internal combustion engines, e.g. HEVs characterised by apparatus, components or means specially adapted for HEVs characterised by the combustion engines
B60K 6/40 - Arrangement or mounting of plural diverse prime-movers for mutual or common propulsion, e.g. hybrid propulsion systems comprising electric motors and internal combustion engines the prime-movers consisting of electric motors and internal combustion engines, e.g. HEVs characterised by apparatus, components or means specially adapted for HEVs characterised by the assembly or relative disposition of components
B60W 20/10 - Controlling the power contribution of each of the prime movers to meet required power demand
H02P 9/04 - Control effected upon non-electric prime mover and dependent upon electric output value of the generator
G01M 15/05 - Testing internal-combustion engines by combined monitoring of two or more different engine parameters
G01L 5/13 - Apparatus for, or methods of, measuring force, work, mechanical power, or torque, specially adapted for specific purposes for measuring the tractive or propulsive power of vehicles
B60W 50/00 - Details of control systems for road vehicle drive control not related to the control of a particular sub-unit
B64D 27/02 - Aircraft characterised by the type or position of power plants
F16C 1/02 - Flexible shaftsMechanical means for transmitting movement in a flexible sheathing for conveying rotary movements
52.
Power generation and distribution for vehicle propulsion
An aerial vehicle includes a hybrid power generation system comprising an engine; a generator mechanically coupled to the engine; and a propulsion system comprising an electric motor electrically coupled to the generator and a rotational mechanism coupled to the electric motor.
B64D 27/24 - Aircraft characterised by the type or position of power plants using steam or spring force
B64D 27/10 - Aircraft characterised by the type or position of power plants of gas-turbine type
F01D 15/10 - Adaptations for driving, or combinations with, electric generators
H02K 7/18 - Structural association of electric generators with mechanical driving motors, e.g.with turbines
B64D 27/02 - Aircraft characterised by the type or position of power plants
H02J 7/14 - Circuit arrangements for charging or depolarising batteries or for supplying loads from batteries for charging batteries from dynamo-electric generators driven at varying speed, e.g. on vehicle
An unmanned aerial vehicle comprising at least one rotor motor. The rotor motor is powered by a micro hybrid generation system. The micro hybrid generator system comprises a rechargeable battery configured to provide power to the at least one rotor motor, a small engine configured to generate mechanical power, a generator motor coupled to the small engine and configured to generate AC power using the mechanical power generated by the small engine, a bridge rectifier configured to convert the AC power generated by the generator motor to DC power and provide the DC power to either or both the rechargeable battery and the at least one rotor motor, and an electronic control unit configured to control a throttle of the small engine based, at least in part, on a power demand of at least one load, the at least one load including the at least one rotor motor.
An unmanned aerial vehicle comprising at least one rotor motor. The rotor motor is powered by a micro hybrid generation system. The micro hybrid generator system comprises a rechargeable battery configured to provide power to the at least one rotor motor, a small engine configured to generate mechanical power, a generator motor coupled to the small engine and configured to generate AC power using the mechanical power generated by the small engine, a bridge rectifier configured to convert the AC power generated by the generator motor to DC power and provide the DC power to either or both the rechargeable battery and the at least one rotor motor, and an electronic control unit configured to control a throttle of the small engine based, at least in part, on a power demand of at least one load, the at least one load including the at least one rotor motor.
An unmanned aerial vehicle includes at least one rotor motor configured to drive at least one propeller to rotate. The unmanned aerial vehicle includes a data center including a processor; a data storage component; and a wireless communications component. The unmanned aerial vehicle includes a hybrid generator system configured to provide power to the at least one rotor motor and to the data center, the hybrid generator system including a rechargeable battery configured to provide power to the at least one rotor motor; an engine configured to generate mechanical power; and a generator motor coupled to the engine and configured to generate electrical power from the mechanical power generated by the engine. The data center may include an intelligent data management module configured to control power distribution and execution of mission tasks in response to available power generation and mission task priorities.
A test stand for an unmanned aerial vehicle comprising: a base arranged to make contact with the ground; a frame extending from the base, the frame comprising at least a first side portion and a second side portion that define a space therebetween; and a mount slidably attached to the frame within the space, the mount configured to affix to an unmanned aerial vehicle such that the mount and the unmanned aerial vehicle slide within the defined space in a direction parallel to the frame during a test flight.
F16M 7/00 - Details of attaching or adjusting engine beds, frames, or supporting-legs on foundation or baseAttaching non-moving engine parts, e.g. cylinder blocks
An unmanned aerial vehicle comprising at least one rotor motor. The rotor motor is powered by a micro hybrid generation system. The micro hybrid generator system comprises a rechargeable battery configured to provide power to the at least one rotor motor, a small engine configured to generate mechanical power, a generator motor coupled to the small engine and configured to generate AC power using the mechanical power generated by the small engine, a bridge rectifier configured to convert the AC power generated by the generator motor to DC power and provide the DC power to either or both the rechargeable battery and the at least one rotor motor, and an electronic control unit configured to control a throttle of the small engine based, at least in part, on a power demand of at least one load, the at least one load including the at least one rotor motor.
