BUILDING DATA PLATFORM WITH DIGITAL TWIN BASED HISTORICAL SCENARIO GENERATION

    公开(公告)号:US20230168640A1

    公开(公告)日:2023-06-01

    申请号:US17855613

    申请日:2022-06-30

    CPC classification number: G05B13/04 G05B13/028

    Abstract: A building system of a building operates to receive historical data values of the plurality of data points for a plurality of historical times. The building system operates to execute an artificial intelligence to generate a plurality of different operating scenarios for operating equipment of the building for the plurality of historical times and simulate a plurality of values of data points of the building for the plurality of historical times based on the plurality of different operating scenarios and the historical data values. The building system operates to cause a user device to display a graphic representation of the building and a selectable element of a historical time of the plurality of historical times.

    BUILDING DATA PLATFORM WITH DIGITAL TWIN BASED FAULT DETECTION AND DIAGNOSTICS

    公开(公告)号:US20230152757A1

    公开(公告)日:2023-05-18

    申请号:US17737873

    申请日:2022-05-05

    CPC classification number: G05B13/04 G05B13/0265 G05B23/0254

    Abstract: Systems and methods of managing a building are disclosed. In some embodiments, a method includes receiving, by a processing circuit, an indication to execute a digital twin, the digital twin including one or more fault detection or diagnostics functions and a virtual representation of a piece of equipment, the virtual representation including one or more entities of a building and relationships between the entities of the building, executing the digital twin based on the virtual representation of the piece of building equipment to generate an indication of a fault or a diagnosis of the fault for the one or more pieces of building equipment, and storing an indication of the fault or a diagnosis of the fault, or a link to the fault or the diagnosis of the fault, in the virtual representation of the piece of equipment.

    BUILDING MANAGEMENT SYSTEM WITH NATURAL LANGUAGE MODEL-BASED DATA STRUCTURE GENERATION

    公开(公告)号:US20240345551A1

    公开(公告)日:2024-10-17

    申请号:US18419464

    申请日:2024-01-22

    CPC classification number: G05B13/027 G06F16/248 G06N3/0895

    Abstract: Systems and methods are disclosed relating to building management systems with language model-based data structure generation. For example, a method can include receiving a query to select, from a plurality of data sources of a building management system, a selected one or more data sources according to a characteristic indicated by the query in at least one of a natural language representation or a semantic representation. The method can further include applying the query as input to a machine learning model to cause the machine learning model to generate an output indicating the selected one or more data sources, the machine learning model configured using training data comprising sample data and metadata from the plurality of data sources. The method can further include presenting, using at least one of a display device or an audio output device, the output.

    CHILLER RATING ENGINE DIGITAL TWIN AND ENERGY BALANCE MODEL

    公开(公告)号:US20230315928A1

    公开(公告)日:2023-10-05

    申请号:US18128659

    申请日:2023-03-30

    CPC classification number: G06F30/13 G06F30/20

    Abstract: A method for controlling building equipment. The method includes obtaining a device model for a physical device of building equipment installed at a building site, the device model indicating an expected performance of the physical device under design operating conditions. The method further includes obtaining operating conditions under which the physical device is operating at the building site, and generating a virtual device representing the physical device by adapting the device model to the operating conditions. The method also includes using a rating engine to generate a device rating for the virtual device, the device rating indicating an expected performance of the physical device under the operating conditions. The method also includes obtaining actual operating data indicating an actual performance of the physical device under the operating conditions, and initiating an automated action based on a comparison of the actual operating data with the device rating for the virtual device.

    BUILDING DATA PLATFORM WITH POLICY LEARNING FOR DIGITAL TWINS

    公开(公告)号:US20230195066A1

    公开(公告)日:2023-06-22

    申请号:US18083387

    申请日:2022-12-16

    CPC classification number: G05B19/042 G05B2219/25011

    Abstract: A building system of a building operates to select an instance of one or more entities of one or more particular entity types from a digital twin of the building for creating a policy function, the digital twin including representations of entities of the building and relationships between the entities of the building. The building system operates to perform an optimization that selects one or more inputs of inputs associated with the one or more entities for input to the policy function, selects one or more actions of actions associated with the one or more entities that are outputs of the policy function, and identifies one or more parameters for the policy function. The building system operates to deploy the policy function for the one or more entities by causing the digital twin to include the policy function.

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