Intellisense.io Ltd

Royaume‑Uni

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Type PI
        Brevet 8
        Marque 4
Juridiction
        États-Unis 6
        International 3
        Europe 2
        Canada 1
Date
2023 2
2022 5
Avant 2021 5
Classe IPC
B01D 21/01 - Séparation par sédimentation de particules solides en suspension dans des liquides en utilisant des agents de floculation 2
B03D 1/02 - Procédés de flottation par formation d'écume 2
B65G 3/02 - Emmagasinage de matériaux en vrac ou d'objets en vrac, c.-à-d. en désordre en plein air 2
C02F 1/52 - Traitement de l'eau, des eaux résiduaires ou des eaux d'égout par floculation ou précipitation d'impuretés en suspension 2
C02F 11/14 - Traitement des boues d'égoutDispositifs à cet effet par déshydratation, séchage ou épaississement avec addition de produits chimiques 2
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Classe NICE
35 - Publicité; Affaires commerciales 4
09 - Appareils et instruments scientifiques et électriques 3
42 - Services scientifiques, technologiques et industriels, recherche et conception 3
37 - Services de construction; extraction minière; installation et réparation 2
38 - Services de télécommunications 2
Statut
En Instance 4
Enregistré / En vigueur 8

1.

A METHOD FOR DYNAMICALLY CONSTRUCTING AND UPDATING A MODEL OF 3D TOPOGRAPHY OF A STOCK-PIKE OF GRANULAR MATERIAL

      
Numéro d'application 18042810
Statut En instance
Date de dépôt 2021-08-25
Date de la première publication 2023-10-26
Propriétaire INTELLISENSE.IO LTD (Royaume‑Uni)
Inventeur(s)
  • Gatica, Mario Leon
  • Hallson, Chris
  • Laborde, Cecilia
  • Geus, Mark De
  • Mcnamara, Hugh
  • Knoblauch, Niel
  • Kopec, Grant
  • Murray, Éamonn

Abrégé

Disclosed is a method for dynamically constructing and updating a model of 3-dimensional topography of a stock-pile of granular material is provided. The method includes dumping the granular material to a maximum slope in a column in the stock-pile, wherein the maximum slope is determined by analyzing digital scans of the stock-pile; reducing the maximum slope to a smaller value of the maximum slope, dynamically increasing the maximum slope linearly until it reaches the original value of the maximum slope to obtain a uniformly expanding plateau; defining an adjustable shape comprising a first distance and a second distance, wherein the adjustable shape is flat till the first distance and the second distance beyond which the adjustable shape varies with the maximum slope; and reclaiming the granular material that flows downhill from a center depth to update the model of the 3D topography of the stock-pile.

Classes IPC  ?

  • G06F 30/13 - Conception architecturale, p. ex. conception architecturale assistée par ordinateur [CAAO] relative à la conception de bâtiments, de ponts, de paysages, d’usines ou de routes

2.

METHOD FOR OPTIMIZING MINERAL RECOVERY PROCESS

      
Numéro d'application 18041007
Statut En instance
Date de dépôt 2021-08-11
Date de la première publication 2023-08-24
Propriétaire INTELLISENSE.IO LTD (Royaume‑Uni)
Inventeur(s)
  • Mcnamara, Hugh
  • Gatica, Mario Leon
  • Hornung, Balazs
  • Laborde, Cecilia

Abrégé

Disclosed is a method for optimizing a mineral recovery process from ore material using a flotation chamber. The method comprises implementing a machine learning model to determine operational parameters of the flotation chamber, for the mineral recovery process based on a geometry of the flotation chamber and properties of the ore material. The method further comprises simulating the mineral recovery process using ranges of the determined operational parameters to determine a factor representative of a relationship between a gas hold-up value and a bubble diameter value. The method further comprises calculating the gas hold-up value and the bubble diameter value based on determined the operational parameters and the determined factor. The method further comprises utilizing the determined gas hold-up value and bubble diameter value to determine optimized values of the operational parameters for the mineral recovery process by implementing a virtual sensor, to achieve higher throughput of recovered minerals from the ore material.

Classes IPC  ?

  • B03D 1/02 - Procédés de flottation par formation d'écume

3.

Mineral recovery control

      
Numéro d'application 17524854
Numéro de brevet 11873238
Statut Délivré - en vigueur
Date de dépôt 2021-11-12
Date de la première publication 2022-03-10
Date d'octroi 2024-01-16
Propriétaire Intellisense.Io Ltd (Royaume‑Uni)
Inventeur(s)
  • Bose, Sam
  • Rubtsov, Denis
  • Mcnamara, Hugh
  • Wolter, Boris
  • De Geus, Mark

Abrégé

A mineral recovery system for use in a mining operation is described. The mineral recovery system a thickener includes a process water input, an underflow output having an underflow controller configured to adjust outflow of thickened slurry from the thickener, an overflow output configured to dispense clarified water from the thickener; and a flocculant input and a flocculant dilution input, a thickener controller configured to control an operation of the thickener; and a processor executing a mining operations generated model to issue commands to the thickener controller, based on inputs of sensed conditions, wherein the mining operations model incorporates a thickener sub-model and a material sub-model, wherein the mining operations model is employed to predict a future state of a thickener based on inputs of sensed conditions in the thickener and predictions made by the thickener sub-model and the material sub-model in real time.

Classes IPC  ?

  • C02F 1/52 - Traitement de l'eau, des eaux résiduaires ou des eaux d'égout par floculation ou précipitation d'impuretés en suspension
  • C02F 103/10 - Nature de l'eau, des eaux résiduaires ou des eaux ou boues d'égout à traiter provenant de carrières ou d'activités minières
  • C02F 11/14 - Traitement des boues d'égoutDispositifs à cet effet par déshydratation, séchage ou épaississement avec addition de produits chimiques

4.

A METHOD FOR DYNAMICALLY CONSTRUCTING AND UPDATING A MODEL OF 3D TOPOGRAPHY OF A STOCK-PILE OF GRANULAR MATERIAL

      
Numéro de document 03189512
Statut En instance
Date de dépôt 2021-08-25
Date de disponibilité au public 2022-03-03
Propriétaire INTELLISENSE.IO LIMITED (Royaume‑Uni)
Inventeur(s)
  • Gatica, Mario Leon
  • Hallson, Chris
  • Laborde, Cecilia
  • Geus, Mark De
  • Mcnamara, Hugh
  • Knoblauch, Niel
  • Kopec, Grant
  • Murray, Eamonn

Abrégé

Disclosed is a method for dynamically constructing and updating a model of 3-dimensional topography of a stock-pile of granular material is provided. The method includes dumping the granular material to a maximum slope in a column in the stock-pile, wherein the maximum slope is determined by analyzing digital scans of the stock-pile; reducing the maximum slope to a smaller value of the maximum slope, dynamically increasing the maximum slope linearly until it reaches the original value of the maximum slope to obtain a uniformly expanding plateau; defining an adjustable shape comprising a first distance and a second distance, wherein the adjustable shape is flat till the first distance and the second distance beyond which the adjustable shape varies with the maximum slope; and reclaiming the granular material that flows downhill from a center depth to update the model of the 3D topography of the stock-pile.

Classes IPC  ?

  • B65G 3/02 - Emmagasinage de matériaux en vrac ou d'objets en vrac, c.-à-d. en désordre en plein air
  • G06Q 10/06 - Ressources, gestion de tâches, des ressources humaines ou de projetsPlanification d’entreprise ou d’organisationModélisation d’entreprise ou d’organisation
  • G06Q 50/02 - AgriculturePêcheForesterieExploitation minière

5.

A METHOD FOR DYNAMICALLY CONSTRUCTING AND UPDATING A MODEL OF 3D TOPOGRAPHY OF A STOCK-PILE OF GRANULAR MATERIAL

      
Numéro d'application IB2021057782
Numéro de publication 2022/043886
Statut Délivré - en vigueur
Date de dépôt 2021-08-25
Date de publication 2022-03-03
Propriétaire INTELLISENSE.IO LIMITED (Royaume‑Uni)
Inventeur(s)
  • Gatica, Mario Leon
  • Hallson, Chris
  • Laborde, Cecilia
  • Geus, Mark De
  • Mcnamara, Hugh
  • Knoblauch, Niel
  • Kopec, Grant
  • Murray, Éamonn

Abrégé

Disclosed is a method for dynamically constructing and updating a model of 3-dimensional topography of a stock-pile of granular material is provided. The method includes dumping the granular material to a maximum slope in a column in the stock-pile, wherein the maximum slope is determined by analyzing digital scans of the stock-pile; reducing the maximum slope to a smaller value of the maximum slope, dynamically increasing the maximum slope linearly until it reaches the original value of the maximum slope to obtain a uniformly expanding plateau; defining an adjustable shape comprising a first distance and a second distance, wherein the adjustable shape is flat till the first distance and the second distance beyond which the adjustable shape varies with the maximum slope; and reclaiming the granular material that flows downhill from a center depth to update the model of the 3D topography of the stock-pile.

Classes IPC  ?

  • G06Q 10/06 - Ressources, gestion de tâches, des ressources humaines ou de projetsPlanification d’entreprise ou d’organisationModélisation d’entreprise ou d’organisation
  • G06Q 50/02 - AgriculturePêcheForesterieExploitation minière
  • B65G 3/02 - Emmagasinage de matériaux en vrac ou d'objets en vrac, c.-à-d. en désordre en plein air

6.

BRAINS.APP

      
Numéro de série 97282347
Statut En instance
Date de dépôt 2022-02-24
Propriétaire Intellisense.io Ltd (Royaume‑Uni)
Classes de Nice  ?
  • 09 - Appareils et instruments scientifiques et électriques
  • 35 - Publicité; Affaires commerciales
  • 38 - Services de télécommunications
  • 42 - Services scientifiques, technologiques et industriels, recherche et conception

Produits et services

Scientific instruments and apparatus, namely, signal processors and data analytics software for use by plant management, system engineers and maintenance teams for switching, transforming, accumulating, storing, regulating and controlling factory processes, machinery, equipment and apparatus; surveying instruments and apparatus, namely, electronic sensors for use in factory processes and systems by plant management, system engineers and maintenance teams for electronically inspecting, analyzing, examining and measuring individual plant system and process operational functions; signaling instruments and apparatus, namely, a communications system comprising electronic sensors, a network of wireless electronic sensors, computer hardware in the nature of wireless network repeaters and electronic data relays for sensors for use by plant management, system engineers and maintenance teams to indicate, communicate, transmit, and convey information and instructions; checking instruments and apparatus for monitoring, examining, and inspection of industrial and business processes for use by plant management, system engineers and maintenance teams, namely, a computing system comprised primarily of computer hardware, electronic sensors, electric relays, electrical controllers and wireless communication systems comprising wireless electronic sensors, computer hardware in the nature of wireless network repeaters and wireless electronic data relays for sensors all installed in industrial, commercial distributing and manufacturing settings and linked to a cloud platform to analyze data and optimize plant and system process management; data processing equipment, namely, data processors for processing machine-readable data for use by plant management, system engineers and maintenance teams to automate and improve industrial and commercial manufacturing, goods distribution and factory process and system controls, efficiency and management; computer hardware; downloadable and recorded computer operating software to process any machine-readable data for operational decision support for use by plant management, system engineers and maintenance teams Technical consulting services in the field of business information using means to sense, predict, act and report on computer network communications traffic Technical consulting services in the field of communications to sense, predict, act and report on real-time communications Technical consulting services in the field of industrial design; technical consulting services in the field of telecommunications technology to sense, predict, act and report on real-time communications; platform as a service (PAAS) featuring computer software platforms for monitoring, analyzing and measuring the operational performance of machinery and equipment in industrial, commercial distributing and manufacturing settings; platform as a service (PAAS) featuring computer software platforms for tracking, testing and optimizing operational performance of machinery and equipment in the mining industry

7.

METHOD FOR OPTIMIZING MINERAL RECOVERY PROCESS

      
Numéro d'application IB2021057395
Numéro de publication 2022/034512
Statut Délivré - en vigueur
Date de dépôt 2021-08-11
Date de publication 2022-02-17
Propriétaire INTELLISENSE.IO LIMITED (Royaume‑Uni)
Inventeur(s)
  • Mcnamara, Hugh
  • Gatica, Mario Leon
  • Hornung, Balazs
  • Laborde, Cecilia

Abrégé

Disclosed is a method for optimizing a mineral recovery process from ore material using a flotation chamber. The method comprises implementing a machine learning model to determine operational parameters of the flotation chamber, for the mineral recovery process based on a geometry of the flotation chamber and properties of the ore material. The method further comprises simulating the mineral recovery process using ranges of the determined operational parameters to determine a factor representative of a relationship between a gas hold-up value and a bubble diameter value. The method further comprises calculating the gas hold-up value and the bubble diameter value based on determined the operational parameters and the determined factor. The method further comprises utilizing the determined gas hold-up value and bubble diameter value to determine optimized values of the operational parameters for the mineral recovery process by implementing a virtual sensor, to achieve higher throughput of recovered minerals from the ore material.

Classes IPC  ?

  • B03D 1/02 - Procédés de flottation par formation d'écume
  • G06Q 10/00 - AdministrationGestion

8.

IntelliSense.io

      
Numéro d'application 018276396
Statut Enregistrée
Date de dépôt 2020-07-22
Date d'enregistrement 2021-04-20
Propriétaire INTELLISENSE.IO LIMITED (Royaume‑Uni)
Classes de Nice  ?
  • 09 - Appareils et instruments scientifiques et électriques
  • 35 - Publicité; Affaires commerciales
  • 37 - Services de construction; extraction minière; installation et réparation
  • 42 - Services scientifiques, technologiques et industriels, recherche et conception

Produits et services

Scientific, nautical, surveying, signalling and checking, apparatus and instrumentation all for conducting, switching, transforming, accumulating, regulating and controlling processes, equipment, computers and computer hardware and software to process any machine-readable data for decision support; Computer software; Downloadable software; Computer software for data processing; industrial software; Surveying software; enterprise software; factory automation software; process controlling software; computer software applications; predictive maintenance software; software for remote diagnostics; Industrial process control software; artificial intelligence software for analysis; machine learning software for analysis of remote monitoring information; computer software for remote monitoring and analysis; software for monitoring, analysing, controlling and running mining operations; real-time data processing apparatus; software for real-time data processing for mining and mineral processing industry; asset optimization software for mining and mineral processing industry. Business consulting services; Business consulting services in relation to sensing, predicting, acting and reporting on mining and mineral exploitation and processing industry. Providing information relating to the repair or maintenance of mining machines and apparatus; stockpile management systems related to the mining industry. Technical consulting services; Design, development and delivery of services in the field of computer software; technical and consulting services to sense, predict, act and report on real time communications; Software as a Service [SaaS]; Software as a service [SaaS] featuring software for mining and mineral exploitation services; Platform as a Service [PaaS]; Platform as a service [PaaS] featuring software platform for tracking, testing and optimizing operational performance of mining industry; Technical and consulting services to sense, predict, act and report on mining and mineral exploitation and processing industry.

9.

BRAINS.APP

      
Numéro d'application 018276400
Statut Enregistrée
Date de dépôt 2020-07-22
Date d'enregistrement 2021-10-20
Propriétaire INTELLISENSE.IO LIMITED (Royaume‑Uni)
Classes de Nice  ?
  • 09 - Appareils et instruments scientifiques et électriques
  • 35 - Publicité; Affaires commerciales
  • 37 - Services de construction; extraction minière; installation et réparation
  • 42 - Services scientifiques, technologiques et industriels, recherche et conception

Produits et services

Scientific, nautical, surveying, signalling and checking, apparatus and instrumentation all for conducting, switching, transforming, accumulating, regulating and controlling processes, equipment, computers and computer hardware and software to process any machine-readable data for decision support; industrial software; Surveying software; enterprise software; factory automation software; process controlling software; predictive maintenance software; software for remote diagnostics; Industrial process control software; artificial intelligence software for analysis; machine learning software for analysis of remote monitoring information; computer software for remote monitoring and analysis; software for monitoring, analysing, controlling and running mining operations; real-time data processing apparatus; software for real-time data processing for mining and mineral processing industry; asset optimization software for mining and mineral processing industry. Business consulting services; Business consulting services in relation to sensing, predicting, acting and reporting on mining and mineral exploitation and processing industry. Providing information relating to the repair or maintenance of mining machines and apparatus; stockpile management systems related to the mining industry. Technical consulting services; technical and consulting services to sense, predict, act and report on real time communications; Software as a service [SaaS] featuring software for mining and mineral exploitation services; Platform as a service [PaaS] featuring software platform for tracking, testing and optimizing operational performance of mining industry; Technical and consulting services to sense, predict, act and report on mining and mineral exploitation and processing industry.

10.

Mineral recovery control

      
Numéro d'application 16481910
Numéro de brevet 11202974
Statut Délivré - en vigueur
Date de dépôt 2018-01-30
Date de la première publication 2020-02-06
Date d'octroi 2021-12-21
Propriétaire INTELLISENSE.IO LTD (Royaume‑Uni)
Inventeur(s)
  • Bose, Sam
  • Rubtsov, Denis
  • Mcnamara, Hugh
  • Wolter, Boris
  • De Geus, Mark

Abrégé

A mineral recovery system for use in a mining operation is described. The mineral recovery system includes a mining operations model generated based on inputs of sensed conditions, wherein the mining operations model incorporates a thickener sub-model and a material sub-model. The mineral recovery system includes a thickener controller to issue commands based on the mining operations model. The mineral recovery system includes a thickener having a process water. The thickener also includes an underflow output provided with an underflow controller to adjust outflow of thickened slurry from the thickener based on issued commands. The thickener further includes an overflow output to dispense clarified water from the thickener.

Classes IPC  ?

  • B01D 21/01 - Séparation par sédimentation de particules solides en suspension dans des liquides en utilisant des agents de floculation
  • B01D 21/34 - Commande de la répartition de l'alimentationCommande du niveau du liquide
  • B01F 15/00 - Accessoires pour mélangeurs
  • B03B 13/00 - Systèmes de commande, spécialement adaptés aux appareils à séparer par voie humide ou à des installations de préparation mécanique, utilisant des effets physiques
  • B03B 5/60 - Lavage de matériaux en grains, en poudre ou en grumeauxSéparation par voie humide en utilisant des classificateurs non mécaniques, p. ex. des bassins de décantation

11.

MINERAL RECOVERY CONTROL

      
Numéro d'application EP2018025023
Numéro de publication 2018/137893
Statut Délivré - en vigueur
Date de dépôt 2018-01-30
Date de publication 2018-08-02
Propriétaire INTELLISENSE.IO LTD (Royaume‑Uni)
Inventeur(s)
  • Bose, Sam
  • Rubtsov, Denis
  • Mcnamara, Hugh
  • Wolter, Boris

Abrégé

A mineral recovery system for use in a mining operation is described. The mineral recovery system includes a mining operations model generated based on inputs of sensed conditions, wherein the mining operations model incorporates a thickener sub-model and a material sub-model. The mineral recovery system includes a thickener controller to issue commands based on the mining operations model. The mineral recovery system includes a thickener having a process water. The thickener also includes an underflow output provided with an underflow controller to adjust outflow of thickened slurry from the thickener based on issued commands. The thickener further includes an overflow output to dispense clarified water from the thickener.

Classes IPC  ?

  • B01D 21/01 - Séparation par sédimentation de particules solides en suspension dans des liquides en utilisant des agents de floculation
  • B01D 21/30 - Dispositifs de commande
  • B03D 3/00 - Sédimentation différentielle
  • C02F 1/52 - Traitement de l'eau, des eaux résiduaires ou des eaux d'égout par floculation ou précipitation d'impuretés en suspension
  • C02F 11/14 - Traitement des boues d'égoutDispositifs à cet effet par déshydratation, séchage ou épaississement avec addition de produits chimiques

12.

INTELLISENSE.IO

      
Numéro de série 86107916
Statut Enregistrée
Date de dépôt 2013-11-01
Date d'enregistrement 2017-09-12
Propriétaire Intellisense.io Ltd (Royaume‑Uni)
Classes de Nice  ?
  • 38 - Services de télécommunications
  • 35 - Publicité; Affaires commerciales

Produits et services

Technical consulting services in the field of real time communications using means to sense, predict, act and report on computer network communications traffic Technical consulting services in the field of business information using means to sense, predict, act and report on computer network communications traffic