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21.
公开(公告)号:US20180113482A1
公开(公告)日:2018-04-26
申请号:US15331755
申请日:2016-10-21
Applicant: Johnson Controls Technology Company
Inventor: Steven R. Vitullo
CPC classification number: G05D23/1917 , F24F11/61 , F24F11/62 , F24F11/63 , F24F2110/10 , F24F2140/50 , F24F2140/60 , G06N20/20 , H04L12/2823
Abstract: A heating, ventilation, or air conditioning (HVAC) system for a building includes HVAC equipment, a controller, and a predictive modeling system. The HVAC equipment are operable to affect an environmental condition in the building. The controller is configured to determine an operating point for the HVAC equipment and to operate the HVAC equipment at the operating point. The predictive modeling system includes a plurality of HVAC component models and one or more prediction combiners. The HVAC component models are configured to generate a plurality of component model predictions based on the operating point. The prediction combiners are configured to combine the plurality of component model predictions to form a combined model prediction. The controller is configured to use the combined model prediction to optimize the operating point and to operate the HVAC equipment at the optimized operating point.
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公开(公告)号:US20170179716A1
公开(公告)日:2017-06-22
申请号:US14971813
申请日:2015-12-16
Applicant: Johnson Controls Technology Company
Inventor: Steven R. Vitullo , Graeme Willmott
Abstract: Predictor variables that affect a building energy load are sampled at a plurality of times within a time period and aggregated to generate an aggregated value for each predictor variable over the time period. A model is generated which estimates the building energy load in terms of the predictor variables. A regression process is performed to generate values for a plurality of regression coefficients in the model based on a cumulative building energy load for the time period and the aggregated values. The sampled values of the predictor variables are then applied as inputs to the model to estimate building energy loads at each of the plurality of times. The estimated building energy loads may be used as inputs to a controller that optimizes operation of a central plant.
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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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公开(公告)号:US20230185297A1
公开(公告)日:2023-06-15
申请号:US18105721
申请日:2023-02-03
Applicant: Johnson Controls Technology Company
Inventor: Steven R. Vitullo , Kelsey C. Schuster , Michael R. Rhodes , Riley P. Shelton , John F. Kuchler
CPC classification number: G05B23/0283 , G05B23/0221 , G05B23/0264 , G05B17/02 , G05B23/0235 , G05B2219/2642
Abstract: A system includes equipment operable to affect, monitor, or control one or more variable states or conditions in a building. The system further includes circuitry configured to perform a plurality of performance checks for the equipment, determine a plurality of individual performance check indicators based on the plurality of performance checks using a plurality of first weights determined based on different timings, generate an overall performance index for the equipment using the plurality of individual performance check indicators and a plurality of second weights, and initiate or execute a preventative maintenance action for the equipment based on the overall performance index.
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公开(公告)号:US11630453B2
公开(公告)日:2023-04-18
申请号:US17400950
申请日:2021-08-12
Applicant: JOHNSON CONTROLS TECHNOLOGY COMPANY
Inventor: Steven R. Vitullo , Kelsey C. Schuster , Michael R. Rhodes , Riley P. Shelton , John F. Kuchler
Abstract: Systems and methods of generating performance index for connected equipment in a building management system are provided. The connected equipment measures monitored variables and generates status codes. The system obtains data points of the monitored variables and the status codes from past N time units, and connected equipment specific parameters. The system performs first performance checks for the connected equipment using the status codes from the past N time units. The system performs second performance checks using the data points of the monitored variables from the past N time units, the connected equipment specific parameters, and a set of predetermined rules. The system determines individual performance check indicators based on the first performance checks and the second performance checks using first weights each determined based on a different timing. The system generates an overall performance index for the connected equipment using the individual performance check indicators and second weights.
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公开(公告)号:US20220299230A1
公开(公告)日:2022-09-22
申请号:US17688054
申请日:2022-03-07
Applicant: Johnson Controls Technology Company
Inventor: Andrew J. Boettcher , Steven R. Vitullo , Vivek Narain , Youngchoon Park , Gerald A. Asp , Peter A. Craig , Vijaya S. Chennupati
Abstract: A building energy management system includes building equipment, a data collector, an analytics service, a timeseries database, and an energy management application. The building equipment monitor and control one or more variables in the building energy management system and provide data samples of the one or more variables. The data collector collects the data samples from the building equipment and generates a data timeseries including a plurality of the data samples. The analytics service performs one or more analytics using the data timeseries and generates a results timeseries including a plurality of result samples indicating results of the analytics. The timeseries database stores the data timeseries and the results timeseries. The energy management application retrieves the data timeseries and the results timeseries from the timeseries database in response to a request for timeseries data associated with the one or more variables.
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公开(公告)号:US20220075362A1
公开(公告)日:2022-03-10
申请号:US17400950
申请日:2021-08-12
Applicant: JOHNSON CONTROLS TECHNOLOGY COMPANY
Inventor: Steven R. Vitullo , Kelsey C. Schuster , Michael R. Rhodes , Riley P. Shelton , John F. Kuchler
Abstract: Systems and methods of generating performance index for connected equipment in a building management system are provided. The connected equipment measures monitored variables and generates status codes. The system obtains data points of the monitored variables and the status codes from past N time units, and connected equipment specific parameters. The system performs first performance checks for the connected equipment using the status codes from the past N time units. The system performs second performance checks using the data points of the monitored variables from the past N time units, the connected equipment specific parameters, and a set of predetermined rules. The system determines individual performance check indicators based on the first performance checks and the second performance checks using first weights each determined based on a different timing. The system generates an overall performance index for the connected equipment using the individual performance check indicators and second weights.
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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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29.
公开(公告)号:US20190385070A1
公开(公告)日:2019-12-19
申请号:US16198456
申请日:2018-11-21
Applicant: Johnson Controls Technology Company
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.
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公开(公告)号:US20180011459A1
公开(公告)日:2018-01-11
申请号:US15694033
申请日:2017-09-01
Applicant: Johnson Controls Technology Company
Inventor: Andrew J. Boettcher , Steven R. Vitullo , Kirk H. Drees , Michael J. Wenzel
IPC: G05B19/042 , G05B23/02
CPC classification number: G05B19/042 , G05B23/024 , G05B2219/2642
Abstract: A system for generating and using a predictive model to control building equipment includes building equipment operable to affect one or more variables in a building and an operating data aggregator that collects a set of operating data for the building equipment. The system includes an autocorrelation corrector that removes an autocorrelated model error from the set of operating data by determining a residual error representing a difference between an actual output of the building equipment and an output predicted by the predictive model, using the residual error to calculate an autocorrelation for the model error, and transforming the set of operating data using the autocorrelation. The system includes a model generator module that generates a set of model coefficients for the predictive model using the transformed set of operating data and a controller that controls the building equipment by executing a model-based control strategy that uses the predictive model.
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