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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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12.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：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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公开(公告)号：US09778639B2
公开(公告)日：2017-10-03
申请号：US14579736
申请日：2014-12-22
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: An operating data aggregator module collects a first set of operating data and a second set of operating data for building equipment. A model generator module generates a first set of model coefficients and a second set of model coefficients for a predictive model for the building equipment using the first set of operating data and the second set of operating data, respectively. A test statistic module generates a test statistic based on a difference between the first set of model coefficients and the second set of model coefficients. A critical value module calculates critical value for the test statistic. A hypothesis testing module compares the test statistic with the critical value using a statistical hypothesis test to determine whether the predictive model has changed. In response to a determination that the predictive model has changed, a fault indication may be generated and/or the predictive model may be adaptively updated.
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15.发明申请公开(公告)号：US20170276571A1
公开(公告)日：2017-09-28
申请号：US15080441
申请日：2016-03-24
Applicant: Johnson Controls Technology Company
Inventor： Steven R. Vitullo , Andrew J. Boettcher
IPC: G01M99/00
CPC classification number: G01M99/005 , G01M99/00 , G05B23/0248 , G06Q10/06
Abstract: A system for detecting faults in building equipment includes an integration fault detector, a kernel density fault detector, and a fault detector selector. The integration fault detector is configured to detect faults in the building equipment by analyzing time series data using an integration fault detection technique. The kernel density fault detector is configured to detect faults in the building equipment by analyzing the time series data using a kernel density estimation fault detection technique. The fault detector selector is configured to select the integration fault detector or the kernel density fault detector for use in detecting faults in the building equipment based on an attribute of the time series data.
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Patent Agency Ranking
公开(公告)号：US20160169572A1
公开(公告)日：2016-06-16
申请号：US14572375
申请日：2014-12-16
Applicant: JOHNSON CONTROLS TECHNOLOGY COMPANY
Inventor： Homero L. Noboa , Andrew J. Boettcher , Saman Beyhaghi
CPC classification number: F25B49/005 , F25B13/00 , F25B25/005 , F25B2339/047 , F25B2700/1931 , F25B2700/1933 , F25B2700/21151 , F25B2700/21152
Abstract: A fault detection and diagnostics (FDD) system is provided for a refrigeration circuit having an evaporator and a compressor configured to circulate a refrigerant through the evaporator. The FDD system includes a communications interface configured to receive a measurement of a thermodynamic property affected by the refrigeration circuit and a processing circuit having a processor and memory. The processing circuit is configured to use the measured thermodynamic property to determine an expected suction entropy of the refrigerant at a suction of the compressor, use the expected suction entropy to determine an expected thermodynamic discharge property of the refrigerant at a discharge of the compressor, determine an actual thermodynamic discharge property of the refrigerant at the discharge of the compressor, and detect a fault in the refrigeration circuit by comparing the expected thermodynamic discharge property with the actual thermodynamic discharge property.
Abstract translation: 提供了一种具有蒸发器和压缩机的制冷回路的故障检测和诊断（FDD）系统，该压缩机构造成使制冷剂循环通过蒸发器。 FDD系统包括被配置为接收受制冷回路影响的热力学特性的测量的通信接口以及具有处理器和存储器的处理电路。 处理电路被配置为使用测量的热力学性质来确定在压缩机的吸力下的制冷剂的预期吸入熵，使用预期的吸入熵来确定在压缩机的排出处的制冷剂的期望的热力学排放特性，确定 在压缩机排出时的制冷剂的实际热力学排出特性，并且通过将预期的热力学放电特性与实际热力学放电特性进行比较来检测制冷回路中的故障。
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公开(公告)号：US11268732B2
公开(公告)日：2022-03-08
申请号：US16728858
申请日：2019-12-27
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
IPC: F24F11/62 , F24F11/30 , H02J3/14 , G05B15/02 , F24F11/63 , F24F11/52 , F24F130/10 , F24F11/46 , F24F140/60 , F24F130/00 , H02J13/00
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：US10317864B2
公开(公告)日：2019-06-11
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: G05B19/04 , G05B19/042 , G05B23/02
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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19.发明授权公开(公告)号：US10281363B2
公开(公告)日：2019-05-07
申请号：US15080441
申请日：2016-03-24
Applicant: Johnson Controls Technology Company
Inventor： Steven R. Vitullo , Andrew J. Boettcher
Abstract: A system for detecting faults in building equipment includes an integration fault detector, a kernel density fault detector, and a fault detector selector. The integration fault detector is configured to detect faults in the building equipment by analyzing time series data using an integration fault detection technique. The kernel density fault detector is configured to detect faults in the building equipment by analyzing the time series data using a kernel density estimation fault detection technique. The fault detector selector is configured to select the integration fault detector or the kernel density fault detector for use in detecting faults in the building equipment based on an attribute of the time series data.
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公开(公告)号：US20160180220A1
公开(公告)日：2016-06-23
申请号：US14579736
申请日：2014-12-22
Applicant: Johnson Controls Technology Company
Inventor： Andrew J. Boettcher , Steven R. Vitullo , Kirk H. Drees , Michael J. Wenzel
IPC: G06N5/02 , G05B19/042
CPC classification number: G05B19/042 , G05B23/024 , G05B2219/2642
Abstract: An operating data aggregator module collects a first set of operating data and a second set of operating data for building equipment. A model generator module generates a first set of model coefficients and a second set of model coefficients for a predictive model for the building equipment using the first set of operating data and the second set of operating data, respectively. A test statistic module generates a test statistic based on a difference between the first set of model coefficients and the second set of model coefficients. A critical value module calculates critical value for the test statistic. A hypothesis testing module compares the test statistic with the critical value using a statistical hypothesis test to determine whether the predictive model has changed. In response to a determination that the predictive model has changed, a fault indication may be generated and/or the predictive model may be adaptively updated.
Abstract translation: 操作数据聚合器模块收集用于建筑设备的第一组操作数据和第二组操作数据。 模型生成器模块分别使用第一组操作数据和第二组操作数据生成建筑设备的预测模型的第一组模型系数和第二组模型系数。 测试统计模块基于第一组模型系数和第二组模型系数之间的差异来生成测试统计量。 临界值模块计算测试统计量的临界值。 假设检验模块使用统计假设检验将检验统计量与临界值进行比较，以确定预测模型是否已改变。 响应于预测模型已经改变的确定，可以生成故障指示和/或可以自适应地更新预测模型。
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