公开(公告)号：US10042340B2

公开(公告)日：2018-08-07

申请号：US14989740

申请日：2016-01-06

Applicant: Johnson Controls Technology Company

Inventor： Heidi A. Hofschulz ,  Robert D. Turney ,  Timothy C. Gamroth ,  Matthew J. Ellis

IPC: G01M1/38 ,  G05B15/02 ,  G01D11/00 ,  G01D9/32 ,  H04W52/02 ,  H04W4/70

Abstract: A building control system includes a wireless measurement device and a controller. The wireless measurement device measures a plurality of values of an environmental variable and uses the plurality of measured values to predict one or more future values of the environmental variable. The wireless device periodically transmits, at a transmission interval, a message that includes a current value of the environmental variable and the one or more predicted values of the environmental variable. The controller receives the message from the wireless device and parses the message to extract the current value and the one or more predicted future values of the environmental variable. The controller periodically and sequentially applies, at a controller update interval shorter than the transmission interval, each of the extracted values as an input to a control algorithm that operates to control the environmental variable.

公开(公告)号：US20180004173A1

公开(公告)日：2018-01-04

申请号：US15635754

申请日：2017-06-28

Applicant: Johnson Controls Technology Company

Inventor： Nishith R. Patel ,  Matthew J. Ellis ,  Michael J. Wenzel ,  Robert D. Turney ,  Brett M. Lenhardt

IPC: G05B13/04 ,  F24F11/00 ,  G05D7/06

Abstract: A model predictive control system is used to optimize energy cost in a variable refrigerant flow (VRF) system. The VRF system includes an outdoor subsystem and a plurality of indoor subsystems. The model predictive control system includes a high-level model predictive controller (MPC) and a plurality of low-level indoor MPCs. The high-level MPC performs a high-level optimization to generate an optimal indoor subsystem load profile for each of the plurality of indoor subsystems. The optimal indoor subsystem load profiles optimize energy cost. Each of the low-level indoor MPCs performs a low-level optimization to generate optimal indoor setpoints for one or more indoor VRF units of the corresponding indoor subsystem. The indoor setpoints can include temperature setpoints and/or refrigerant flow setpoints for the indoor VRF units.

公开(公告)号：US20180004171A1

公开(公告)日：2018-01-04

申请号：US15199910

申请日：2016-06-30

Applicant: Johnson Controls Technology Company

Inventor： Nishith R. Patel ,  Robert D. Turney ,  Matthew J. Ellis

IPC: G05B13/04 ,  F24F11/00 ,  F28D20/00 ,  G05B11/01 ,  G05D23/19 ,  G05B19/042 ,  G05B15/02 ,  F24F5/00 ,  F24F3/044

CPC classification number: G05B13/041 ,  F24F3/044 ,  F24F5/0017 ,  F24F11/30 ,  F24F11/46 ,  F24F11/54 ,  F24F11/56 ,  F24F11/62 ,  F24F11/77 ,  F24F11/83 ,  F24F2005/0025 ,  F24F2110/10 ,  F24F2110/20 ,  F24F2110/40 ,  F24F2120/10 ,  F24F2130/00 ,  F24F2130/10 ,  F28D20/0034 ,  F28D2020/0082 ,  G05B11/01 ,  G05B17/02 ,  G05B2219/2614 ,  G05B2219/37375 ,  G05D23/1917 ,  G05D23/1923 ,  G05D23/1932 ,  Y02E60/142 ,  Y02E60/147

Abstract: A building HVAC system includes an airside system having a plurality of airside subsystems, a waterside system, a high-level model predictive controller (MPC), and a plurality of low-level airside MPCs. Each airside subsystem includes airside HVAC equipment configured to provide heating or cooling to the airside subsystem. The waterside system includes waterside HVAC equipment configured to produce thermal energy used by the airside system to provide the heating or cooling. The high-level MPC is configured to perform a high-level optimization to generate an optimal airside subsystem load profile for each of the plurality of airside subsystems. The optimal airside subsystem load profiles optimize a total cost of energy consumed by the airside system and the waterside system Each of the low-level airside MPCs is configured to operate the airside HVAC equipment of an airside subsystem according to the load profile for the airside subsystem.

公开(公告)号：US12104812B2

公开(公告)日：2024-10-01

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 ,  F24F110/10 ,  F24F110/12 ,  F24F140/50 ,  F24F140/60

CPC classification number: F24F11/47 ,  F24F11/54 ,  F24F11/56 ,  F24F11/64 ,  F24F11/65 ,  F24F11/83 ,  G05B19/042 ,  F24F2110/10 ,  F24F2110/12 ,  F24F2140/50 ,  F24F2140/60 ,  G05B2219/2614

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：US11385605B2

公开(公告)日：2022-07-12

申请号：US16680881

申请日：2019-11-12

Applicant: Johnson Controls Technology Company

Inventor： Michael J. Wenzel ,  Robert D. Turney ,  Jiaqi Li ,  Matthew J. Ellis ,  Mohammad N. Elbsat

IPC: G05B13/04 ,  H04L67/10 ,  H04L49/90 ,  H04L43/10 ,  H04L43/0811 ,  H04L41/0826

Abstract: A controller for operating building equipment of a building including processors and non-transitory computer-readable media storing instructions that, when executed by the processors, cause the processors to perform operations including obtaining a first setpoint trajectory from a cloud computation system. The first setpoint trajectory includes setpoints for the building equipment or for a space of the building. The setpoints correspond to time steps of an optimization period. The operations include determining whether a connection between the controller and the cloud computation system is active or inactive at a time step of the optimization period and determining an active setpoint for the time step of the optimization period using either the first or second setpoint trajectory based on whether the connection between the controller and the cloud computation system is active or inactive at the time step. The operations include operating the building equipment based on the active setpoint.

公开(公告)号：US11243503B2

公开(公告)日：2022-02-08

申请号：US16040698

申请日：2018-07-20

Applicant: Johnson Controls Technology Company

Inventor： Andrew J. Przybylski ,  Michael J. Wenzel ,  Matthew J. Ellis

IPC: G05B13/04 ,  F24F11/49 ,  G05B13/02 ,  G06F3/0484

Abstract: A building management system includes building equipment operable to affect a variable state or condition of a building and a control system configured to receive a user input indicating a model form. The model form includes a plurality of matrices having a plurality of elements defined in terms of a plurality of parameters. The control system is configured to parse the model form to generate a sequence of machine-executable steps for determining a value of each of the plurality of elements based on a set of potential parameter values, identify a system model by executing the sequence of machine-executable steps to generate a set of parameter values for the plurality of parameters, generate a graphical user interface that illustrates a fit between predictions of the identified system model and behavior of the variable state or condition of the building, and control the building equipment using the identified system model.

公开(公告)号：US11210591B2

公开(公告)日：2021-12-28

申请号：US16447724

申请日：2019-06-20

Applicant: Johnson Controls Technology Company

Inventor： Anas W. I. Alanqar ,  Matthew J. Ellis

IPC: G06N5/02 ,  G05B19/042

Abstract: A building management system includes a processing circuit configured to perform a system identification process to identify one or more parameters of a system model that predicts a behavior of a building system. The one or more parameters include one or more model parameters and one or more Kalman gain parameters. The system identification process includes identifying the one or more model parameters, generating an initial guess of the one or more Kalman gain parameters based on the training data and results of a simulation that uses the one or more model parameters, and identifying the one or more Kalman gain parameters by initializing a prediction error minimization problem with the initial guess. The building management system also includes a controller configured to control building equipment to affect the behavior of the building system based on predictions of the system model.

公开(公告)号：US20210141346A1

公开(公告)日：2021-05-13

申请号：US16680881

申请日：2019-11-12

Applicant: Johnson Controls Technology Company

Inventor： Michael J. Wenzel ,  Robert D. Turney ,  Jiaqi Li ,  Matthew J. Ellis ,  Mohammad N. ELBSAT

IPC: G05B13/04 ,  H04L29/08 ,  H04L12/861 ,  H04L12/26 ,  H04L12/24

Abstract: A controller for operating building equipment of a building including processors and non-transitory computer-readable media storing instructions that, when executed by the processors, cause the processors to perform operations including obtaining a first setpoint trajectory from a cloud computation system. The first setpoint trajectory includes setpoints for the building equipment or for a space of the building. The setpoints correspond to time steps of an optimization period. The operations include determining whether a connection between the controller and the cloud computation system is active or inactive at a time step of the optimization period and determining an active setpoint for the time step of the optimization period using either the first or second setpoint trajectory based on whether the connection between the controller and the cloud computation system is active or inactive at the time step. The operations include operating the building equipment based on the active setpoint.

公开(公告)号：US20210018211A1

公开(公告)日：2021-01-21

申请号：US16516076

申请日：2019-07-18

Applicant: Johnson Controls Technology Company

Inventor： Matthew J. Ellis ,  John H. Burroughs ,  Juan Esteban Tapiero Bernal ,  Anas W. I. Alanqar

IPC: F24F11/72 ,  G05D23/19

Abstract: An HVAC system for automatically adjusting setpoint boundaries of a space includes building equipment configured to provide heating or cooling to the space to affect an environmental condition of the space and a controller. The controller obtains occupant setpoint adjustment data indicating occupant setpoint increases or occupant setpoint decreases at multiple times during a time interval and partitions the occupant setpoint adjustment data into time period bins based on the multiple times associated with the occupant setpoint adjustment data, each of the time period bins containing occupant setpoint adjustment data characterized by a common time attribute. The controller determines a number of occupant setpoint increases and a number of occupant setpoint decreases indicated by the occupant setpoint adjustment data within each time period bin and adjusts a setpoint boundary of the space based on the number of occupant setpoint increases or the number of occupant setpoint decreases.

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.