公开(公告)号：US20210190349A1

公开(公告)日：2021-06-24

申请号：US16719638

申请日：2019-12-18

Applicant: Johnson Controls Technology Company

Inventor： ROBERT D. TURNEY ,  MICHAEL J. WENZEL ,  MOHAMMAD N. ELBSAT ,  ANAS W. I. ALANQAR ,  JOHN H. BURROUGHS ,  ANDREW J. PRZYBYLSKI

IPC: F24F11/30 ,  F24F11/56 ,  F24F11/64 ,  F24F11/65 ,  G05B13/04

Abstract: A controller for operating building equipment of a building. The controller includes one or more processors. The controller includes one or more non-transitory computer-readable media storing instructions that, when executed by the one or more processors, cause the one or more processors to perform operations. The operations include comparing one or more model parameters of predictive models describing zones of the building to determine one or more zone groups for the building. The operations include generating one or more zone group models corresponding to the one or more zone groups. The operations include operating the building equipment using the one or more zone group models to affect a variable state or condition of the building.

公开(公告)号：US20210192469A1

公开(公告)日：2021-06-24

申请号：US16719533

申请日：2019-12-18

Applicant: Johnson Controls Technology Company

Inventor： ROBERT D. TURNEY ,  MICHAEL J. WENZEL ,  MOHAMMAD N. ELBSAT ,  ANAS W. I. ALANQAR

IPC: G06Q10/00 ,  G06N5/02 ,  G06N20/00 ,  G05B19/042

Abstract: A controller for performing a peer analysis of a predictive model for a building including processors and non-transitory computer-readable media storing instructions that, when executed by the processors, cause the processors to perform operations. The operations include comparing model parameters of a set of predictive models corresponding to a set of building zones, the model parameters indicating system dynamics of the building zones, to determine whether any of the building zones are exhibiting abnormal system dynamics. The operations include initiating a corrective action in response to determining that at least one of the building zones is exhibiting abnormal system dynamics.

公开(公告)号：US20210018198A1

公开(公告)日：2021-01-21

申请号：US16738878

申请日：2020-01-09

Applicant: Johnson Controls Technology Company

Inventor： ANAS W. I. ALANQAR ,  MICHAEL J. WENZEL ,  FANG DU ,  MOHAMMAD N. ELBSAT

IPC: F24F11/30 ,  G05B13/04 ,  G05B13/02 ,  F24F11/64 ,  F24F11/65

Abstract: A controller for equipment that operates to affect a variable state or condition of a building including one or more processors and non-transitory computer-readable media storing instructions that, when executed by the processors, cause the processors to perform operations. The operations include generating a new predictive model using training data associated with one or more durations selected from a time period and selected to satisfy a set of criteria. The predictive model models system dynamics of the building during the time period. The operations include storing the new predictive model in a database including predictive models that model the system dynamics of the building and include comparing performance of the new predictive model and the predictive models stored by the database to select a particular predictive model for controlling the equipment. The operations include using the particular predictive model to generate and provide control signals to the equipment.

公开(公告)号：US20200218208A1

公开(公告)日：2020-07-09

申请号：US16240028

申请日：2019-01-04

Applicant: Johnson Controls Technology Company

Inventor： ANAS W. I. ALANQAR ,  MATTHEW J. ELLIS ,  MICHAEL J. WENZEL ,  JUAN ESTEBAN TAPIERO BERNAL

IPC: G05B15/02 ,  G05B23/02 ,  G06Q10/04

Abstract: A building management system includes building equipment operable generate training data relating to behavior of a building system and a controller configured to perform a system identification process that includes generating a prediction error function based on the training data and a system model, generating initial guesses of one or more parameters of the system model, running an optimization problem of the prediction error function for a first group of iterations, discarding, after the first group of iterations, a portion of the initial guesses based on one or more criteria and ranking a remaining portion of the initial guesses, running the optimization problem of the prediction error function for a top-ranked initial guess of the remaining portion to local optimality to identify a first set of values of the one or more parameters, and identifying the one or more parameters as having the first set of values.