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Patent Agency Ranking
公开(公告)号：US20220138492A1
公开(公告)日：2022-05-05
申请号：US17170634
申请日：2021-02-08
Applicant: Johnson Controls Technology Company
Inventor： Erik S. Paulson , Ambuj Shatdal , ZhongYi Jin , Chenlu Zhang , Youngchoon Park
Abstract: A method of labeling building data comprises receiving, by a labeling system, a plurality of strings relating to data associated with a building, wherein the plurality of strings are received from one or more building devices, segregating the plurality of strings based on at least one semantic element included in the plurality of strings, clustering the plurality of strings based on at least one related element shared by at least a portion of the plurality of strings, labeling at least some of the plurality of strings based on the segregated and clustered plurality of strings, and generating a digital representation of the building using the labeled strings.
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公开(公告)号：US20220137570A1
公开(公告)日：2022-05-05
申请号：US17170668
申请日：2021-02-08
Applicant: Johnson Controls Technology Company
Inventor： Erik S. Paulson , Ambuj Shatdal , ZhongYi Jin , Chenlu Zhang , Youngchoon Park
IPC: G05B15/02 , G06F16/901
Abstract: A method for commissioning a building comprises identifying a building asset within a digital representation of a building having one or more parameters describing relationships of the building asset within the building, controlling one or more other building assets included within the digital representation to change an environmental parameter of the building, monitoring a response of at least one of the building asset or one of the one or more other building assets to the change in the environmental parameter, generating a parameter for the digital representation associated with the building asset based on the monitoring, and updating the digital representation using the parameter.
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公开(公告)号：US20220137569A1
公开(公告)日：2022-05-05
申请号：US17170615
申请日：2021-02-08
Applicant: Johnson Controls Technology Company
Inventor： Erik S. Paulson , Ambuj Shatdal , ZhongYi Jin , Chenlu Zhang , Youngchoon Park
IPC: G05B15/02 , G06F16/901 , G06F16/28
Abstract: A method for generating a graph data structure comprises receiving, by one or more processors, data associated with a building, generating one or more space nodes in the graph data structure corresponding to spaces within the building based on the data, generating one or more asset nodes in the graph data structure corresponding to assets within the building based on the data, associating sensor data with the one or more asset nodes based on the data, classifying the sensor data based on the data, and generating a relationship between at least two of the one or more space nodes, the one or more asset nodes, and the classified sensor data.
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公开(公告)号：US20220138362A1
公开(公告)日：2022-05-05
申请号：US17170539
申请日：2021-02-08
Applicant: Johnson Controls Technology Company
Inventor： Erik S. Paulson , Ambuj Shatdal , ZhongYi Jin , Chenlu Zhang , Youngchoon Park
IPC: G06F30/13 , G06F16/901 , G06F16/21 , G05B15/02
Abstract: A method for augmenting a building model comprises receiving a first building model associated with at least a portion of a building and having a first format, receiving a second building modeling associated with the portion of the building and having a second format, comparing the first building model to the second building model to identify at least one element in the first building model not included in the second building model, and updating the second building model to include the identified at least one element.
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公开(公告)号：US20210383276A1
公开(公告)日：2021-12-09
申请号：US17339322
申请日：2021-06-04
Applicant: Johnson Controls Technology Company
Inventor： Vish Ramamurti , Wenwen Zhao , Chenlu Zhang , Kelsey Carle Schuster , Young M. Lee
Abstract: A building system including one or more memory devices configured to store instructions thereon, that, when executed by one or more processors, cause the one or more processors to generate building recommendations based on recommendation requests with a model of a first model type when less than a predefined amount of model training data is available and receive feedback data on the recommendation requests generated by the model of the first model type. The instructions cause the one or more processors to transition from generating the building recommendations by the model of the first model type to a second model of a second model type by comparing performance of the first model type to the second model type based on the feedback data.
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