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11.发明申请公开(公告)号：US20210056452A1
公开(公告)日：2021-02-25
申请号：US16549037
申请日：2019-08-23
Applicant: Johnson Controls Technology Company
Inventor： Sugumar Murugesan , Young M. Lee
Abstract: A building system for building data point prediction, the building system comprising 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 first building data for a building data point of a building and generate training data, the training data comprising a probability distribution sequence comprising a first probability distribution for the building data point. The instructions cause the one or more processors to train a prediction model based on the training data, receive second building data for the building data point, and predict, for one or more time-steps into the future, one or more second probability distributions with the second building data based on the prediction model, each of the one or more second probability distributions being a probability distribution for the building data point at one of the one or more time-steps.
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公开(公告)号：US20210056386A1
公开(公告)日：2021-02-25
申请号：US16549656
申请日：2019-08-23
Applicant: Johnson Controls Technology Company
Inventor： Sugumar Murugesan , Young M. Lee
Abstract: A building system for generating input forecast data. The building system comprising 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 retrieve a current prediction set of measurements comprising current values associated with a plurality of time-steps; identify time-steps of the plurality of time-steps for which historical prediction values of a historical prediction set of measurements are outside of a tolerance of corresponding historical actual values of a historical actual set of measurements; replace each current value of the current prediction set of measurements that is associated with the identified time-steps with a predetermined value to generate an updated prediction set of measurements; and provide the updated prediction set of measurements to a prediction model.
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13.发明申请公开(公告)号：US20200073342A1
公开(公告)日：2020-03-05
申请号：US16115282
申请日：2018-08-28
Applicant: Johnson Controls Technology Company
Inventor： Young M. Lee , William N. Schroeder
Abstract: A building energy system includes an energy storage system (ESS) configured to store energy received from an energy source and provide the stored energy to one or more pieces of building equipment. The system includes a local building system configured to collect building data and communicate the building data to a cloud platform and the cloud platform configured to receive the building data from the local building system via the network, determine whether to retrain a trained load prediction model based on at least some of the building data, retrain the trained load prediction model based on at least some of the building data in response to a determination to retrain the trained load prediction model, determine a load prediction for the building based on the retrained load prediction model, and cause the local building system to operate.
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公开(公告)号：US12282883B2
公开(公告)日：2025-04-22
申请号：US16725644
申请日：2019-12-23
Applicant: Johnson Controls Technology Company
Inventor： Jaume Amores , Young M. Lee , Sugumar Murugesan , Steven R. Vitullo
Abstract: A method of generating a fault determination in a building management system (BMS), the method including receiving signal data, generating, using a number of fault detection models, a number of fault indications based on the signal data, generating, using a weighting function, based on the number of fault indications, a fault score, comparing the fault score to a fault value, and determining, based on the comparison, an existence of a fault.
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15.发明申请公开(公告)号：US20210191343A1
公开(公告)日：2021-06-24
申请号：US16726007
申请日：2019-12-23
Applicant: Johnson Controls Technology Company
Inventor： Young M. Lee , Zhanhong Jiang , Kirk Drees , Michael Risbeck
Abstract: Systems and methods for training a surrogate model for predicting system states for a building management system based on generated data from a simulation model are disclosed herein. The simulation model is calibrated for a building of interest. The building of interest includes building equipment operable to control a variable state of the building. The simulated data of system states are generated using the calibrated simulation model. A surrogate model is trained based on the simulated data of system states from the calibrated simulation model. System state predictions are generated using the surrogate model. The surrogate model is re-trained based on updated operational data. An updated series of system state predictions is generated using the re-trained surrogate model.
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Patent Agency Ranking
公开(公告)号：US20210190354A1
公开(公告)日：2021-06-24
申请号：US16725952
申请日：2019-12-23
Applicant: Johnson Controls Technology Company
Inventor： Jaume Amores Llopis , Young M. Lee , Sugumar Murugesan , Steven R. Vitullo
Abstract: A building system for detecting faults in an operation of building equipment. The building system comprising one or more memory devices configured to store instructions thereon that cause the one or more processors to perform a cumulative sum (CUSUM) analysis on actual building data and corresponding predicted building data to obtain cumulative sum values for a first plurality of times within a first time period; analyze cumulative sum values associated with a second plurality of times occurring before the first time to identify a second time of the second plurality of times at which a second cumulative sum value is at a local minimum; and determine that a first fault began at the second time.
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公开(公告)号：US20210056409A1
公开(公告)日：2021-02-25
申请号：US16549744
申请日：2019-08-23
Applicant: Johnson Controls Technology Company
Inventor： Sugumar Murugesan , Young M. Lee
Abstract: A building system for training a prediction model with augmented training data. The building system comprising 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 obtain a first training data set comprising data values associated with a data point of the building system and with a plurality of time-steps and energy values associated with consumption of the building system at each of the plurality of time-steps; generate an augmented training data set comprising a second training data set, the second training data set comprising the energy values and the data values of the first training data set but with a data value replaced with a predetermined value at a time-step of the plurality of time-steps; and generate a prediction model by training the prediction model.
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公开(公告)号：US20200162354A1
公开(公告)日：2020-05-21
申请号：US16685814
申请日：2019-11-15
Applicant: Johnson Controls Technology Company
Inventor： 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 , Tom M. Seneczko , Young M. Lee , Sudhi R. Sinha
Abstract: 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, the building device data comprising a plurality of data samples of a data point and generate a time correlated data stream for the data point, the time correlated data stream comprising values of the plurality of data samples of the data point. The instructions cause the one or more processors to generate a time correlated reliability data stream for the data point, the time correlated reliability data stream comprising a plurality of reliability values indicating reliability of the values of the plurality of data samples of the data point.
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19.发明申请公开(公告)号：US20200162280A1
公开(公告)日：2020-05-21
申请号：US16685834
申请日：2019-11-15
Applicant: Johnson Controls Technology Company
Inventor： 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 , Tom M. Seneczko , Young M. Lee , Sudhi R Sinha
Abstract: A building system of a building including one or more memory devices configured to store one or more instructions that, when executed on one or more processors, cause the one or more processors to exercise a building entity causing building entity data to be generated associated with the building entity, the building entity data indicating a result of exercising the building entity and collect the building entity data. The instructions cause the one or more processors to identify, based on a relational model, one or more relationships between one or more building entities and the building entity, wherein the one or more relationships indicate that exercising the building entity affects operation of the one or more building entities and identify that the building is experiencing a performance issue by analyzing the building entity data and the one or more relationships.
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公开(公告)号：US20200076196A1
公开(公告)日：2020-03-05
申请号：US16115120
申请日：2018-08-28
Applicant: Johnson Controls Technology Company
Inventor： Young M. Lee , William N. Schroeder
Abstract: A building energy system for a building includes an energy storage system (ESS) configured to store energy received from an energy source and provide the stored energy to one or more pieces of building equipment to operate the one or more pieces of building equipment. The system includes a processing circuit configured to collect building data, determine whether to retrain a trained load prediction model based on at least some of the building data, retrain the trained load prediction model based on the building data in response to a determination to retrain the trained load prediction model, determine a load prediction for the building based on the retrained load prediction model, and operate the ESS to store the energy received from the energy source or provide the stored energy to the one or more pieces of building equipment to operate the one or more pieces of building equipment.
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