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公开(公告)号:US12061446B2
公开(公告)日:2024-08-13
申请号:US18375873
申请日:2023-10-02
Applicant: Johnson Controls Technology Company
Inventor: Robert Locke , Sudhi R. Sinha
CPC classification number: G05B13/0265 , F24F11/63 , G05B15/02 , G05B23/0216 , G06T19/006 , H04L12/2827 , H04L41/046 , H04L43/08
Abstract: A building management system with artificial intelligence based control of a building includes data collectors are configured to receive data and generate data streams for subsystems of the building. The system includes a learning engine configured to identify a building state of the building by correlating data of the data streams for the subsystems and provide the identified building state to cognitive agents. The system includes the cognitive agents, each of the cognitive agents configured to receive the identified building state from the learning engine, generate a control decision based on the received building state, and operate at least one of the plurality of subsystems of the building to control a physical condition of the building based on the control decision.
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2.
公开(公告)号:US20240103458A1
公开(公告)日:2024-03-28
申请号:US18375873
申请日:2023-10-02
Applicant: Johnson Controls Technology Company
Inventor: Robert Locke , Sudhi R. Sinha
CPC classification number: G05B13/0265 , F24F11/63 , G05B15/02 , G05B23/0216 , G06T19/006 , H04L12/2827 , H04L43/08
Abstract: A building management system with artificial intelligence based control of a building includes data collectors are configured to receive data and generate data streams for subsystems of the building. The system includes a learning engine configured to identify a building state of the building by correlating data of the data streams for the subsystems and provide the identified building state to cognitive agents. The system includes the cognitive agents, each of the cognitive agents configured to receive the identified building state from the learning engine, generate a control decision based on the received building state, and operate at least one of the plurality of subsystems of the building to control a physical condition of the building based on the control decision.
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公开(公告)号:US11774922B2
公开(公告)日:2023-10-03
申请号:US17903815
申请日:2022-09-06
Applicant: Johnson Controls Technology Company
Inventor: Robert Locke , Sudhi R. Sinha
CPC classification number: G05B13/0265 , F24F11/63 , G05B15/02 , G05B23/0216 , G06T19/006 , H04L12/2827 , H04L41/046 , H04L43/08
Abstract: A building management system with artificial intelligence based control of a building includes data collectors are configured to receive data and generate data streams for subsystems of the building. The system includes a learning engine configured to identify a building state of the building by correlating data of the data streams for the subsystems and provide the identified building state to cognitive agents. The system includes the cognitive agents, each of the cognitive agents configured to receive the identified building state from the learning engine, generate a control decision based on the received building state, and operate at least one of the plurality of subsystems of the building to control a physical condition of the building based on the control decision.
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公开(公告)号:US20240377791A1
公开(公告)日:2024-11-14
申请号:US18776648
申请日:2024-07-18
Applicant: Johnson Controls Technology Company
Inventor: Robert Locke , Sudhi R. Sinha
Abstract: A building management system with artificial intelligence based control of a building includes data collectors are configured to receive data and generate data streams for subsystems of the building. The system includes a learning engine configured to identify a building state of the building by correlating data of the data streams for the subsystems and provide the identified building state to cognitive agents. The system includes the cognitive agents, each of the cognitive agents configured to receive the identified building state from the learning engine, generate a control decision based on the received building state, and operate at least one of the plurality of subsystems of the building to control a physical condition of the building based on the control decision.
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公开(公告)号:US11449015B2
公开(公告)日:2022-09-20
申请号:US17148851
申请日:2021-01-14
Applicant: Johnson Controls Technology Company
Inventor: Robert Locke , Sudhi R. Sinha
Abstract: A building management system with artificial intelligence based control of a building includes data collectors are configured to receive data and generate data streams for subsystems of the building. The system includes a learning engine configured to identify a building state of the building by correlating data of the data streams for the subsystems and provide the identified building state to cognitive agents. The system includes the cognitive agents, each of the cognitive agents configured to receive the identified building state from the learning engine, generate a control decision based on the received building state, and operate at least one of the plurality of subsystems of the building to control a physical condition of the building based on the control decision.
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公开(公告)号:US20210208546A1
公开(公告)日:2021-07-08
申请号:US17148851
申请日:2021-01-14
Applicant: Johnson Controls Technology Company
Inventor: Robert Locke , Sudhi R. Sinha
Abstract: A building management system with artificial intelligence based control of a building includes data collectors are configured to receive data and generate data streams for subsystems of the building. The system includes a learning engine configured to identify a building state of the building by correlating data of the data streams for the subsystems and provide the identified building state to cognitive agents. The system includes the cognitive agents, each of the cognitive agents configured to receive the identified building state from the learning engine, generate a control decision based on the received building state, and operate at least one of the plurality of subsystems of the building to control a physical condition of the building based on the control decision.
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7.
公开(公告)号:US20180364654A1
公开(公告)日:2018-12-20
申请号:US16008885
申请日:2018-06-14
Applicant: Johnson Controls Technology Company
Inventor: Robert Locke , Sudhi R. Sinha
Abstract: A building management system with artificial intelligence based control of a building includes data collectors are configured to receive data and generate data streams for subsystems of the building. The system includes a learning engine configured to identify a building state of the building by correlating data of the data streams for the subsystems and provide the identified building state to cognitive agents. The system includes the cognitive agents, each of the cognitive agents configured to receive the identified building state from the learning engine, generate a control decision based on the received building state, and operate at least one of the plurality of subsystems of the building to control a physical condition of the building based on the control decision.
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公开(公告)号:US20230085219A1
公开(公告)日:2023-03-16
申请号:US17903815
申请日:2022-09-06
Applicant: Johnson Controls Technology Company
Inventor: Robert Locke , Sudhi R. Sinha
Abstract: A building management system with artificial intelligence based control of a building includes data collectors are configured to receive data and generate data streams for subsystems of the building. The system includes a learning engine configured to identify a building state of the building by correlating data of the data streams for the subsystems and provide the identified building state to cognitive agents. The system includes the cognitive agents, each of the cognitive agents configured to receive the identified building state from the learning engine, generate a control decision based on the received building state, and operate at least one of the plurality of subsystems of the building to control a physical condition of the building based on the control decision.
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公开(公告)号:US10901373B2
公开(公告)日:2021-01-26
申请号:US16008885
申请日:2018-06-14
Applicant: Johnson Controls Technology Company
Inventor: Robert Locke , Sudhi R. Sinha
Abstract: A building management system with artificial intelligence based control of a building includes data collectors are configured to receive data and generate data streams for subsystems of the building. The system includes a learning engine configured to identify a building state of the building by correlating data of the data streams for the subsystems and provide the identified building state to cognitive agents. The system includes the cognitive agents, each of the cognitive agents configured to receive the identified building state from the learning engine, generate a control decision based on the received building state, and operate at least one of the plurality of subsystems of the building to control a physical condition of the building based on the control decision.
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