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公开(公告)号:US20240222970A1
公开(公告)日:2024-07-04
申请号:US18398007
申请日:2023-12-27
发明人: Michael J. Risbeck , Chenlu Zhang , Saman Cyrus , Young M. Lee
IPC分类号: H02J3/00
CPC分类号: H02J3/004 , H02J3/003 , H02J2203/10
摘要: A method is provided for achieving a net energy goal for building operations for a time period including a first subperiod before a current time and a second subperiod from the current time to an end of the time period. The method includes generating first forecasted ranges for amounts of energy consumption for a plurality of time steps in the second subperiod, generating second forecasted ranges for amounts of energy production for the plurality of time steps in the second subperiod, and generating third forecasted ranges for amounts of net energy for the plurality of time steps in the second subperiod. The amounts of net energy are based on differences between the amounts of energy consumption and the amounts of energy production. The method also includes providing a strategy for the building operations based on the third forecasted ranges and the net energy goal
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2.
公开(公告)号:US20240185122A1
公开(公告)日:2024-06-06
申请号:US18116974
申请日:2023-03-03
发明人: Young M. Lee , Wenwen Zhao , Brian E. Keenan , Santle Camilus Kulandai Samy , Michael J. Risbeck , Zhanhong Jiang , Chenlu Zhang , Saman Cyrus
IPC分类号: G06N20/00 , G05B19/042 , G06N7/01
CPC分类号: G06N20/00 , G05B19/042 , G06N7/01 , G05B2219/2614
摘要: A method for training a fault probability model using warranty claim data includes obtaining, by a processing circuit, a first data set for failed building devices based on warranty claim data associated with the building devices; receiving, by the processing circuit, design change data associated with the building devices and determining a design change date based on the design change data; comparing, by the processing circuit, a manufacturing date for each of the failed building devices with the design change date; removing, by the processing circuit, any building devices from the first data set in response to the manufacturing date preceding the design change date to create an updated first data set; generating, by the processing circuit, a training data set comprising the updated first data set; and training, by the processing circuit, a fault probability model using the training data set to produce a trained model.
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公开(公告)号:US20240176765A1
公开(公告)日:2024-05-30
申请号:US18431473
申请日:2024-02-02
IPC分类号: G06F16/21 , G06F16/901 , G06F30/13
CPC分类号: G06F16/211 , G06F16/9027 , G06F30/13
摘要: A system including a processing circuit configured to receive tags describing points of a piece of equipment, the piece of equipment connected to the system. The processing circuit configured to map the tags to classes of a schema of a graph data structure. The processing circuit configured to perform clustering to generate clusters of the points. The processing circuit configured to identify, based on the clusters, relationships in the schema of the graph data structure between the tags mapped to the classes of the schema of the graph data structure. The processing circuit configured to communicate data to a second system based at least in part on the tags mapped to the classes and the relationships.
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公开(公告)号:US20240086740A1
公开(公告)日:2024-03-14
申请号:US18372469
申请日:2023-09-25
发明人: Rajiv Ramanasankaran , Young M. Lee
IPC分类号: G06N5/025 , G06F16/901 , G06F16/9035 , G06F16/906 , G06N5/022
CPC分类号: G06N5/025 , G06F16/9024 , G06F16/9035 , G06F16/906 , G06N5/022
摘要: A building system including one or more storage devices storing instructions thereon that, when executed cause the one or more processors to store a data structure of a digital twin of an entity of a building, execute a learning algorithm to construct a trigger rule and an action rule as an input to the learning algorithm, store the trigger rule and the action rule in the digital twin, determine that the trigger rule of the digital twin is triggered by comparing at least some of the information of the data structure against one or more conditions of the trigger rule by querying the data structure for data values and comparing the data values against the one or more conditions of the trigger rule, determine an action of the action rule of the digital twin responsive to determining that the trigger rule is triggered by executing the action rule, and cause one or more devices to operate based on the action determined by the action rule.
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5.
公开(公告)号:US11859847B2
公开(公告)日:2024-01-02
申请号:US17965345
申请日:2022-10-13
发明人: Young M. Lee , Zhanhong Jiang , Viswanath Ramamurti , Sugumar Murugesan , Kirk H. Drees , Michael James Risbeck
CPC分类号: F24F11/64 , F24F11/47 , G05B13/027 , G05B13/04
摘要: Systems and methods for training a reinforcement learning (RL) model for HVAC control are disclosed herein. Simulated experience data for the HVAC system is generated or received. The simulated experience data is used to initially train the RL model for HVAC control. The HVAC system operates within a building using the RL model and generates real experience data. A determination may be made to retrain the RL model. The real experience data is used to retrain the RL model. In some embodiments, both the simulated and real experience data are used to retrain the RL model. Experience data may be sampled according to various sampling functions. The RL model may be retrained multiple times over time. The RL model may be retrained less frequently over time as more real experience data is used to train the RL model.
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公开(公告)号:US20230393539A1
公开(公告)日:2023-12-07
申请号:US18204631
申请日:2023-06-01
发明人: Surajit Borah , Santle Camilus , ZhongYi Jin , Vish Ramamurti , Young M. Lee
CPC分类号: G05B13/027 , G05B13/04 , G06F40/30 , G06N3/049
摘要: A building system including one or more memory devices configured to store instructions that, when executed by one or more processors, cause the one or more processors to receive training data including acronym strings and tag strings, train a sequence to sequence neural network based on the training data, receive an acronym string for labeling, the acronym string comprising a particular plurality of acronyms, and generate a tag string for the acronym string with the sequence to sequence neural network, wherein the sequence to sequence neural network outputs a tag of the tag string for one acronym of the particular plurality of acronyms based on the one acronym and contextual information of the acronym string, wherein the contextual information includes other acronyms of the particular plurality of acronyms.
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公开(公告)号:US20230315079A1
公开(公告)日:2023-10-05
申请号:US17710706
申请日:2022-03-31
发明人: Michael J. Risbeck , Chenlu Zhang , Zhanhong Jiang , Young M. Lee , Santle Camilus Kulandai Samy , Jaume Amores , Saman Cyrus
CPC分类号: G05B23/0254 , G05B13/048 , G05B13/029
摘要: A method includes obtaining a fault prediction model for building equipment, predicting, with the fault prediction model, both (i) whether a fault will occur during a first prediction bin and (ii) whether a fault will occur during a second prediction bin, performing a first mitigating action for the building equipment if the fault is predicted to occur during the first prediction bin, and performing a second mitigating action for the building equipment if the fault is predicted to occur during the second prediction bin.
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公开(公告)号:US20230152755A1
公开(公告)日:2023-05-18
申请号:US17540725
申请日:2021-12-02
发明人: Young M. Lee
IPC分类号: G05B13/02
CPC分类号: G05B13/0265
摘要: Building management systems and methods for autonomously tuning rule thresholds are disclosed. In one aspect, the method includes a providing a rule including a threshold, the rule used to determine whether building equipment has a fault. The method further includes receiving a state of the building equipment, assessing using a machine learning model whether the determination of whether the building equipment has a fault is a false positive or a false negative based on the state and the threshold, determining a new threshold based on the assessment of the machine learning model, and replacing the threshold with the new threshold to make subsequent determinations of whether the building equipment or other building equipment has a fault.
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公开(公告)号:US11411999B2
公开(公告)日:2022-08-09
申请号:US16666005
申请日:2019-10-28
发明人: Zhongyi Jin , Young M. Lee , Clifford H. Copass , Youngchoon Park
摘要: A building security system for a building includes one or more memory devices configured to store instructions. The instructions, when executed on one or more processors, cause the one or more processors to receive an access policy data structure for a building device, the access policy data structure indicating access policies for interactions of one or more other building devices with the building device, wherein the access policy data structure identifies the one or more other building devices with one or more building model queries, generate a dynamic access policy data structure for the building device by resolving the one or more building model queries with a building model to identify the one or more other building devices, wherein the dynamic access policy data structure comprises the access policies, and implement the access policies of the dynamic access policy data structure based on the one or more other building devices.
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公开(公告)号:US20240126220A1
公开(公告)日:2024-04-18
申请号:US18390461
申请日:2023-12-20
发明人: Kirk H. Drees , Donald R. Albinger , Shawn D. Schubert , Karl F. Reichenberger , Daniel M. Curtis , Andrew J. Boettcher , Jason T. Sawyer , Miguel Galvez , Walter Martin , Ryan A. Piaskowski , Vaidhyanathan Venkiteswaran , Clay G. Nesler , Siddharth Goyal , Thomas M. Seneczko , Young M. Lee , Sudhi R. Sinha
IPC分类号: G05B13/02 , G05B15/02 , G06N5/022 , G06N5/04 , G06N20/10 , G16Y10/80 , H04L12/28 , H04L41/0631 , H04L67/12
CPC分类号: G05B13/0265 , G05B15/02 , G06N5/022 , G06N5/04 , G06N20/10 , G16Y10/80 , H04L12/2803 , H04L12/2821 , H04L12/2827 , H04L41/0645 , H04L67/12
摘要: A building system including one or more memory devices configured to store instructions that, when executed on one or more processors, cause the one or more processors to collect building device data of a building device, generate a time correlated data stream for a data point, and generate a time correlated reliability data stream for the data point. The building device data includes a plurality of data samples of the data point. The time correlated data stream includes values of the plurality of data samples of the data point. The time correlated reliability data stream includes a plurality of reliability values time correlated to corresponding values of the plurality of data samples of the data point and indicating reliability of the values of the plurality of data samples of the data point.
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