-
1.发明授权公开(公告)号：US11859847B2
公开(公告)日：2024-01-02
申请号：US17965345
申请日：2022-10-13
Applicant: Johnson Controls Tyco IP Holdings LLP
Inventor： Young M. Lee , Zhanhong Jiang , Viswanath Ramamurti , Sugumar Murugesan , Kirk H. Drees , Michael James Risbeck
CPC classification number: F24F11/64 , F24F11/47 , G05B13/027 , G05B13/04
Abstract: 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.
-
公开(公告)号：US11886153B2
公开(公告)日：2024-01-30
申请号：US17383213
申请日：2021-07-22
Applicant: Johnson Controls Tyco IP Holdings LLP
Inventor： Sugumar Murugesan , Young M. Lee , Viswanath Ramamurti
CPC classification number: G05B13/048 , G05B13/027 , G05B13/041 , G06N3/045 , G06N3/08 , H02J3/003
Abstract: A method of operating a building management system is disclosed. The method includes determining, by a processing circuit, policy rankings for a plurality of control policies based on building operation data of a first previous time period, selecting, by the processing circuit, a set of control policies from among the plurality of control policies based on the policy rankings of the set of control policies satisfying a ranking threshold, generating, by the processing circuit, a plurality of prediction models for the set of control policies, selecting, by the processing circuit, a first prediction model of the plurality of prediction models based on building operation data of a second previous time period, and responsive to selecting the first prediction model, operating, by the processing circuit, the building management system using the first prediction model.
-
公开(公告)号：US11747776B2
公开(公告)日：2023-09-05
申请号：US17963699
申请日：2022-10-11
Applicant: Johnson Controls Tyco IP Holdings LLP
Inventor： Young M. Lee , Sugumar Murugesan , ZhongYi Jin , Jaume Amores , Kelsey Carle Schuster , Steven R. Vitullo , Henan Wang
CPC classification number: G05B13/048 , F24F11/38 , F24F11/63 , F24F11/64 , G05B13/0265 , G05B13/04 , G06N20/00 , G05B13/027 , G05B13/028 , G06N5/04
Abstract: A fault prediction system for building equipment includes one or more memory devices configured to store instructions that, when executed on one or more processors, cause the one or more processors to receive device data for a plurality of devices of the building equipment, the device data indicating performance of the plurality of devices; generate, based on the received device data, a plurality of prediction models comprising at least one of single device prediction models generated for each of the plurality of devices or cluster prediction models generated for device clusters of the plurality of devices; label each of the plurality of prediction models as an accurately predicting model or an inaccurately predicting model based on a performance of each of the plurality of prediction models; and predict a device fault with each of the plurality of prediction models labeled as an accurately predicting model.
-
公开(公告)号：US11243523B2
公开(公告)日：2022-02-08
申请号：US16725940
申请日：2019-12-23
Applicant: Johnson Controls Tyco IP Holdings LLP
Inventor： Jaume Amores Llopis , Young M. Lee , Sugumar Murugesan , Steven R. Vitullo
IPC: G05B23/02
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 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 plurality of times within a first time period; determine a first time at which a first cumulative sum value is at a first maximum; identify a second cumulative sum value at a second maximum at a second time occurring after the first time; compare the identified second cumulative sum value to a threshold; and based on determining that the identified second cumulative sum value does not exceed the threshold, determine that a first fault ended at the first time.
-
公开(公告)号：US20220026864A1
公开(公告)日：2022-01-27
申请号：US17383213
申请日：2021-07-22
Applicant: Johnson Controls Tyco IP Holdings LLP
Inventor： Sugumar Murugesan , Young M. Lee , Viswanath Ramamurti
Abstract: A method of operating a building management system is disclosed. The method includes determining, by a processing circuit, policy rankings for a plurality of control policies based on building operation data of a first previous time period, selecting, by the processing circuit, a set of control policies from among the plurality of control policies based on the policy rankings of the set of control policies satisfying a ranking threshold, generating, by the processing circuit, a plurality of prediction models for the set of control policies, selecting, by the processing circuit, a first prediction model of the plurality of prediction models based on building operation data of a second previous time period, and responsive to selecting the first prediction model, operating, by the processing circuit, the building management system using the first prediction model.
-
Patent Agency Ranking
公开(公告)号：US20230033206A1
公开(公告)日：2023-02-02
申请号：US17963699
申请日：2022-10-11
Applicant: Johnson Controls Tyco IP Holdings LLP
Inventor： Young M. Lee , Sugumar Murugesan , ZhongYi Jin , Jaume Amores , Kelsey Carle Schuster , Steven R. Vitullo , Henan Wang
Abstract: A fault prediction system for building equipment includes one or more memory devices configured to store instructions that, when executed on one or more processors, cause the one or more processors to receive device data for a plurality of devices of the building equipment, the device data indicating performance of the plurality of devices; generate, based on the received device data, a plurality of prediction models comprising at least one of single device prediction models generated for each of the plurality of devices or cluster prediction models generated for device clusters of the plurality of devices; label each of the plurality of prediction models as an accurately predicting model or an inaccurately predicting model based on a performance of each of the plurality of prediction models; and predict a device fault with each of the plurality of prediction models labeled as an accurately predicting model.
-
公开(公告)号：US11531310B2
公开(公告)日：2022-12-20
申请号：US16198416
申请日：2018-11-21
Applicant: Johnson Controls Tyco IP Holdings LLP
Inventor： Sugumar Murugesan , Young M. Lee , ZhongYi Jin , Jaume Amores
Abstract: A model management system for a building, including one or more memory devices and one or more processors. The one or more memory devices are configured to store instructions to be executed on the one or more processors. The one or more processors are configured to determine whether chiller fault data exists in chiller data used to generate a plurality of chiller shutdown prediction models. The one or more processors are further configured to generate a first performance evaluation value for each of the plurality of chiller shutdown prediction models using a first evaluation technique in response to a determination that chiller fault data exists in the chiller data, and generate a second performance evaluation value for each of the plurality of chiller shutdown prediction models using a second evaluation technique in response to a determination that chiller fault data does not exist in the chiller data. The one or more processors are configured to select one of the plurality of chiller shutdown prediction models based on the first performance evaluation in response to the determination that chiller fault data exists in the chiller data, and select one of the plurality of chiller shutdown prediction models based on the second performance evaluation in response to the determination that chiller fault data does not exist in the chiller data.
-
公开(公告)号：US11474485B2
公开(公告)日：2022-10-18
申请号：US16198456
申请日：2018-11-21
Applicant: Johnson Controls Tyco IP Holdings LLP
Inventor： Young M. Lee , Sugumar Murugesan , ZhongYi Jin , Jaume Amores , Kelsey Carle Schuster , Steven R. Vitullo , Henan Wang
Abstract: A chiller fault prediction system for a building, including one or more memory devices and one or more processors. The one or more memory devices are configured to store instructions to be executed on the one or more processors. The one or more processors are configured to receive chiller data for a plurality of chillers, the chiller data indicating performance of the plurality of chillers. The one or more processors are configured to generate, based on the received chiller data, a plurality of single chiller prediction models and a plurality of cluster chiller prediction models, the plurality of single chiller prediction models generated for each the plurality of chillers and the plurality of cluster chiller prediction models generated for chiller clusters of the plurality of chillers. The one or more processors are configured to label each of the plurality of single chiller prediction models and the plurality of cluster chiller prediction models as an accurately predicting chiller model or an inaccurately predicting chiller model based on a performance of each of the plurality of single chiller prediction models and a performance of each of the plurality of cluster chiller prediction models. The one or more processors are configured to predict a chiller fault with each of the plurality of single chiller prediction models labeled as the accurately predicting chiller models. The one or more processors are configured to predict a chiller fault for each of a plurality of assigned chillers assigned to one of a plurality of clusters labeled as the accurately predicting chiller model.
-
9.发明公开公开(公告)号：US20240019158A1
公开(公告)日：2024-01-18
申请号：US18265199
申请日：2021-12-03
Applicant: Johnson Controls Tyco IP Holdings LLP
Inventor： Sugumar Murugesan , Santle Camilus Kulandai Samy , Young M. Lee
CPC classification number: F24F11/64 , F24F11/46 , F24F2110/50
Abstract: A building system operates to receive building data for a building describing one or more conditions of the building and perform a first optimization with a multi-tiered model that predicts a first condition of the building based on a first control setting, the first optimization determining one or more first values of the first control setting. The building system operates to perform a second optimization with the multi-tiered model that predicts a second condition of the building based on a second control setting and the one or more first values of the first control setting, the second optimization determining one or more second values of the second control setting and operate building equipment based on the one or more first values of the first control setting and the one or more second values of the second control setting.
-
10.发明公开公开(公告)号：US20230359157A1
公开(公告)日：2023-11-09
申请号：US18218983
申请日：2023-07-06
Applicant: Johnson Controls Tyco IP Holdings LLP
Inventor： Young M. Lee , Sugumar Murugesan , ZhongYi Jin , Jaume Amores
CPC classification number: G05B13/048 , F24F11/38 , F24F11/63 , G06N20/00 , F24F11/64 , G05B13/04 , G05B13/0265 , G05B13/027 , G05B13/028 , G06N5/04
Abstract: A model management system for building equipment includes one or more memory devices configured to store instructions that, when executed on one or more processors, cause the one or more processors to determine whether fault data exists in equipment data used to generate a plurality of shutdown prediction models for the building equipment, generate a first performance evaluation value for each of the plurality of shutdown prediction models using a first evaluation technique in response to a determination that the fault data exists in the equipment data, generate a second performance evaluation value for each of the plurality of shutdown prediction models using a second evaluation technique in response to a determination that the fault data does not exist in the equipment data, and select one of the plurality of shutdown prediction models based on the first performance evaluation value and the second performance evaluation value.
-
-
-
-
-
-
-
-
-
Search Results
19
records
(took 0.019 seconds)
