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    Building control system with automatic control problem formulation using building information model
    21.
    发明授权
    Building control system with automatic control problem formulation using building information model 有权

    公开(公告)号：US11953871B2

    公开(公告)日：2024-04-09

    申请号：US16688864

    申请日：2019-11-19

    Applicant: Johnson Controls Technology Company

    Inventor： Serdar Suindykov ,  Mohammad N. Elbsat

    IPC: G05B17/02 ,  G06F17/00 ,  G06F30/13

    CPC classification number: G05B17/02 ,  G06F30/13

    Abstract: A controller for a building including one or more processors and 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 parsing a computer-aided design (CAD) file or a building information model (BIM) file for the building to identify building equipment that operates to affect a variable state or condition of a zone of the building. The operations include generating one or more zone models describing one or more control relationships between the building equipment and the variable state or condition of the zone based on the CAD file or the BIM file. The operations include using the one or more zone models to perform a model-based operation for the building equipment.

    Model predictive maintenance system with budgetary constraints
    22.
    发明授权
    Model predictive maintenance system with budgetary constraints 有权

    公开(公告)号：US11900287B2

    公开(公告)日：2024-02-13

    申请号：US16457314

    申请日：2019-06-28

    Applicant: Johnson Controls Technology Company

    Inventor： Robert D. Turney ,  Sudhi R. Sinha ,  Michael J. Wenzel ,  Mohammad N. Elbsat

    IPC: G06Q10/20 ,  G06Q10/0631 ,  G06N5/02

    CPC classification number: G06Q10/06315 ,  G06N5/02 ,  G06Q10/20

    Abstract: A model predictive maintenance (MPM) system for building equipment. The MPM system includes an equipment controller configured to operate the building equipment to affect a variable state or condition in a building. The MPM system includes an operational cost predictor configured to predict a cost of operating the building equipment over a duration of an optimization period. The MPM system includes a budget manager configured to generate one or more budget constraints. The MPM system includes an objective function optimizer configured to optimize an objective function subject to the one or more budget constraints to determine a maintenance and replacement schedule for the building equipment. The objective function includes maintenance and replacement costs of the building equipment and the predicted cost of operating the building equipment.

    Model predictive maintenance system with short-term scheduling
    23.
    发明授权
    Model predictive maintenance system with short-term scheduling 有权

    公开(公告)号：US11635751B2

    公开(公告)日：2023-04-25

    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.

    Building control system with smart edge devices having embedded model predictive control
    24.
    发明授权
    Building control system with smart edge devices having embedded model predictive control 有权

    公开(公告)号：US11445024B2

    公开(公告)日：2022-09-13

    申请号：US16695519

    申请日：2019-11-26

    Applicant: Johnson Controls Technology Company

    Inventor： Robert D. Turney ,  Serdar Suindykov ,  Mohammad N. Elbsat ,  Michael J. Wenzel

    IPC: H04L67/12 ,  G16Y40/35 ,  G16Y20/10 ,  G16Y10/80 ,  G16Y40/20

    Abstract: A smart edge controller for building equipment that operates to affect a variable state or condition within a building. 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 obtaining sensor data indicating environmental conditions of the building and include determining an amount of available processing resources at the smart edge controller or at the building equipment. The operations include automatically scaling a level of complexity of an optimization of a cost function based on the available processing resources and include performing the optimization of the cost function at the automatically scaled level of complexity to generate a first setpoint trajectory. The first setpoint trajectory includes operating setpoints for the building equipment at time steps within an optimization period. The operations include operating the building equipment based on the first setpoint trajectory.

    Model predictive maintenance system with incentive incorporation
    25.
    发明授权
    Model predictive maintenance system with incentive incorporation 有权

    公开(公告)号：US11120411B2

    公开(公告)日：2021-09-14

    申请号：US16449198

    申请日：2019-06-21

    Applicant: Johnson Controls Technology Company

    Inventor： Robert D. Turney ,  Sudhi R. Sinha ,  Masayuki Nonaka ,  Zhizhong Pang ,  Yoshiko Watanabe ,  Mohammad N. Elbsat ,  Michael J. Wenzel

    IPC: G06Q10/00 ,  G05B13/04 ,  G06Q10/06

    Abstract: A model predictive maintenance system for building equipment including an equipment controller to operate the building equipment to affect a variable state or condition in a building. The system includes an operational cost predictor to predict a cost of operating the building equipment over a duration of an optimization period, a maintenance cost predictor to predict a cost of performing maintenance on the building equipment, and a cost incentive manager to determine whether any cost incentives are available and, in response to a determination that cost incentives are available, identify the cost incentives. The system includes an objective function optimizer to optimize an objective function to predict a total cost associated with the building equipment over the duration of the optimization period. The objective function includes the predicted cost of operating the building equipment, the predicted cost of performing maintenance on the building equipment, and, if available, the cost incentives.

    BUILDING ENERGY COST OPTIMIZATION SYSTEM WITH ASSET SIZING
    26.
    发明申请
    BUILDING ENERGY COST OPTIMIZATION SYSTEM WITH ASSET SIZING 审中-公开

    公开(公告)号：US20180224814A1

    公开(公告)日：2018-08-09

    申请号：US15426962

    申请日：2017-02-07

    Applicant: Johnson Controls Technology Company

    Inventor： Mohammad N. Elbsat ,  Michael J. Wenzel

    IPC: G05B17/02 ,  G06Q30/02 ,  F24F11/00

    CPC classification number: G05B17/02 ,  F24F11/30 ,  F24F11/46 ,  F24F11/47 ,  F24F2140/50 ,  G05B13/021 ,  G06Q30/0283

    Abstract: An energy cost optimization system for a building includes HVAC equipment and a controller. The controller is configured to generate a cost function defining a cost of operating the HVAC equipment as a function of one or more energy load setpoints. The controller is configured to modify the cost function to account for both an initial purchase cost of a new asset to be added to the HVAC equipment and an effect of the new asset on the cost of operating the HVAC equipment. Both the initial purchase cost of the new asset and the effect of the new asset on the cost of operating the HVAC equipment are functions of one or more asset size variables. The controller is configured to perform an optimization using the modified cost function to determine optimal values for decision variables including the energy load setpoints and the asset size variables.

    BUILDING MANAGEMENT SYSTEM FOR FORECASTING TIME SERIES VALUES OF BUILDING VARIABLES
    27.
    发明申请
    BUILDING MANAGEMENT SYSTEM FOR FORECASTING TIME SERIES VALUES OF BUILDING VARIABLES 审中-公开
    建筑管理系统预测建筑变量的时间序列值

    公开(公告)号：US20150316907A1

    公开(公告)日：2015-11-05

    申请号：US14717593

    申请日：2015-05-20

    Applicant: Johnson Controls Technology Company

    Inventor： Mohammad N. Elbsat ,  Michael J. Wenzel

    IPC: G05B13/04 ,  G06N99/00

    CPC classification number: G05B19/418 ,  G05B13/021 ,  G05B13/048 ,  G05B15/02 ,  G05B2219/2642 ,  G05B2219/31414 ,  G05B2219/32021 ,  G05F1/66 ,  G06N20/00 ,  G06N99/00 ,  G06Q10/04 ,  G06Q10/06 ,  G06Q50/06 ,  Y02P70/161 ,  Y02P80/114 ,  Y02P90/86

    Abstract: A building management system (BMS) includes sensors that measure time series values of building variables and a deterministic model generator that uses historical values for the time series of building variables to train a deterministic model that predicts deterministic values for the time series. The BMS includes a stochastic model generator that uses differences between actual values for the time series and the predicted deterministic values to train a stochastic model that predicts a stochastic value for the time series. The BMS includes a forecast adjuster that adjusts the predicted deterministic values using the predicted stochastic value to generate an adjusted forecast for the time series. The BMS includes a demand response optimizer that uses the adjusted forecast to generate an optimal set of control actions for building equipment of the BMS. The building equipment operate to affect the building variables.

    Abstract translation: 建筑物管理系统（BMS）包括测量建筑变量的时间序列值的传感器和确定性模型生成器，其使用建筑变量的时间序列的历史值来训练预测时间序列的确定性值的确定性模型。 BMS包括使用时间序列的实际值和预测的确定值之间的差异来训练预测时间序列的随机值的随机模型的随机模型发生器。 BMS包括预测调节器，其使用预测的随机值来调整预测的确定值，以产生时间序列的调整后的预测。 BMS包括需求响应优化器，其使用经调整的预测来生成用于建立BMS设备的最佳控制动作集合。 建筑设备操作以影响建筑变量。

    Model predictive maintenance system with integrated measurement and verification functionality
    30.
    发明授权
    Model predictive maintenance system with integrated measurement and verification functionality 有权

    公开(公告)号：US11416955B2

    公开(公告)日：2022-08-16

    申请号：US16687571

    申请日：2019-11-18

    Applicant: Johnson Controls Technology Company

    Inventor： Mohammad N. Elbsat ,  Michael J. Wenzel ,  Jingduo Fan ,  Robert D. Turney

    IPC: G06Q10/04 ,  G06Q10/00 ,  G06Q50/16 ,  G06N5/02

    Abstract: A model predictive maintenance system for building equipment including one or more processing circuits including processors and memory storing instructions that, when executed by the processors, cause the processors to perform operations. The operations include obtaining an objective function that defines a cost of operating the building equipment and performing maintenance on the building equipment as a function of operating decisions and maintenance decisions for the building equipment for time steps within a time period. The operations include performing an optimization of the objective function to generate a maintenance and replacement strategy for the building equipment over a duration of an optimization period. The operations include estimating a savings loss predicted to result from a deviation from the maintenance and replacement strategy. The operations include adjusting an amount of savings expected to be achieved by energy conservation measures for the building equipment based on the savings loss.

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