公开(公告)号：US20210072742A1

公开(公告)日：2021-03-11

申请号：US17017028

申请日：2020-09-10

Applicant: Johnson Controls Technology Company

Inventor： Yaqing WU ,  Mohammad N. ELBSAT ,  Michael J. WENZEL ,  Christos T. MARAVELIAS

IPC: G05B23/02 ,  G05B15/02

Abstract: A method for performing model predictive maintenance (MPM) of building equipment includes obtaining a first objective function that defines a cost of operating the building equipment and at least one of replacing the building equipment or performing maintenance on the building equipment as a function of operating decisions and at least one of replacement decisions or maintenance decisions for the building equipment for multiple short-term time steps within a short-term horizon. The method also includes performing a first optimization of the first objective function to generate a short-term maintenance and replacement schedule for the building equipment over a duration of the short-term horizon. The method also includes using a result of the first optimization to perform a second optimization of a second objective function to generate a long-term maintenance and replacement schedule for the building equipment over a duration of a long-term horizon.

公开(公告)号：US20210018205A1

公开(公告)日：2021-01-21

申请号：US16513054

申请日：2019-07-16

Applicant: Johnson Controls Technology Company

Inventor： Matthew J. Ellis ,  Mohammad N. ELBSAT ,  Anas W. I. Alanqar ,  Michael J. Wenzel ,  John H. Burroughs

IPC: F24F11/47 ,  G06F17/18 ,  G05B13/04 ,  G06Q50/16 ,  F24F11/54 ,  F24F11/64 ,  F24F11/65

Abstract: A controller for performing automated system identification. The controller includes processors and non-transitory computer-readable media storing instructions that, when executed by the processors, cause the processors to perform operations including generating a predictive model to predict system dynamics of a space of a building based on environmental condition inputs and including performing an optimization of a cost function of operating building equipment over a time duration to determine a setpoint for the building equipment. The optimization is performed based on the predictive model. The operations include operating the building equipment based on the setpoint to affect a variable state or condition of the space and include monitoring prediction error metrics over time. The operations include, in response to detecting one of the prediction error metrics exceeds a threshold value, updating the predictive model.

公开(公告)号：US20210018204A1

公开(公告)日：2021-01-21

申请号：US16512712

申请日：2019-07-16

Applicant: Johnson Controls Technology Company

Inventor： John H. Burroughs ,  Andrew J. Przybylski ,  Matthew J. Ellis ,  Mohammad N. ELBSAT ,  Michael J. Wenzel

IPC: F24F11/47 ,  F24F11/54 ,  F24F11/56 ,  F24F11/64 ,  F24F11/65 ,  F24F11/83 ,  G05B19/042

Abstract: One implementation of the present disclosure is a controller for a variable refrigerant flow system. The controller includes processors and memory storing instructions that, when executed by the processors, cause the processors to perform operations including identifying zones within a structure, generating zone groupings defining zone groups and specifying which of the zones are grouped together to form each of the zone groups, generating metric of success values corresponding to the zone groupings and indicating a control feasibility of a corresponding zone grouping, selecting a zone grouping based on the metric of success values, and using the selected zone grouping to operate equipment of the variable refrigerant flow system to provide heating or cooling to the zones.

公开(公告)号：US20200379423A1

公开(公告)日：2020-12-03

申请号：US16984916

申请日：2020-08-04

Applicant: Johnson Controls Technology Company

Inventor： Michael J. WENZEL ,  Mohammad N. ELBSAT ,  Kirk H. DREES

IPC: G05B17/02 ,  G06Q10/06 ,  G06Q50/06 ,  G06Q50/16 ,  G05B15/02 ,  G01R21/133

Abstract: A control system includes one or more sensors configured to generate sensor data relating to building equipment. The sensor data includes first sensor data collected during a first time period and second sensor data collected during a second time period. The control system also includes a controller configured to use the first sensor data to generate one or more first model coefficients for a model for the building equipment. The controller is also configured to use the second sensor data to generate one or more second model coefficients for the model, generate a test statistic by comparing the one or more first model coefficients and the one or more second model coefficients, compare the test statistic with a value, and automatically identify a change relating to the building equipment in response to the test statistic exceeding the value.