Model predictive maintenance system with automatic service work order generation

    公开(公告)号:US11747800B2

    公开(公告)日:2023-09-05

    申请号:US16418686

    申请日:2019-05-21

    CPC classification number: G05B23/0283 G05B23/0294 G06Q30/0282

    Abstract: An automatic work order generation system for model predictive maintenance (MPM) of building equipment including an MPM system including an equipment controller to operate the building equipment to affect an environmental condition of a building. The MPM system can perform a predictive optimization to determine a service time at which to service the building equipment. The automatic work order generation system includes an equipment service scheduler that can determine whether any service providers are available to perform equipment service within a predetermined time range of the service time. In response to determining that service providers are available to perform the equipment service, the equipment service scheduler can select a service provider and an appointment time based on one or more service provider attributes. The equipment service scheduler can generate a service work order and transmit the service work order to the service provider to schedule a service appointment.

    Systems and methods for maintaining occupant comfort for various environmental conditions

    公开(公告)号:US11281173B2

    公开(公告)日:2022-03-22

    申请号:US16703514

    申请日:2019-12-04

    Abstract: An environmental control system of a building including a first building device operable to affect environmental conditions of a zone of the building by providing a first input to the zone. The system includes a second building device operable to independently affect a subset of the environmental conditions by providing a second input to the zone and further includes a controller including a processing circuit. The processing circuit is configured to perform an optimization to generate control decisions for the building devices. The optimization is performed subject to constraints for the environmental conditions and uses a predictive model that predicts an effect of the control decisions on the environmental conditions. The processing circuit is configured to operate the building devices in accordance with the control decisions.

    BUILDING COOLING SYSTEMS WITH ENERGY OPTIMIZATION AND MODEL PREDICTIVE CONTROL

    公开(公告)号:US20210148592A1

    公开(公告)日:2021-05-20

    申请号:US16687122

    申请日:2019-11-18

    Abstract: A building cooling system includes one or more cooling devices operable to affect an indoor air temperature of a building and a system management circuit. The system management circuit is configured to obtain an objective function that includes a power consumption term and a comfort term, perform an optimization of the objective function over a time horizon to determine values of the cooling capacity of the cooling devices where each value of the cooling capacity corresponds to a time step of the time horizon, and control the cooling devices based on the values of the cooling capacity of the cooling devices. The comfort term of the objective function a difference between a prediction of the indoor air temperature of the building and a temperature setpoint for the building, while the power consumption term is a function of the power consumption of the one or more cooling devices.

    VARIABLE REFRIGERANT FLOW SYSTEM WITH AUTOMATIC SENSOR DATA CORRECTION

    公开(公告)号:US20210041839A1

    公开(公告)日:2021-02-11

    申请号:US16535341

    申请日:2019-08-08

    Abstract: A method for controlling a variable refrigerant flow (VRF) system includes applying a time window to sensor data associated with the VRF system, the sensor data including input data points and having a first resolution, wherein applying the time window to the sensor data isolates a subset of the input data points; applying a timing weight to one or more input data points in the subset of the input data points to generate corrected data points having a second resolution higher than the first resolution; creating a virtual sensor and mapping the corrected data points to an output of the virtual sensor; and controlling the VRF system based on an output of the virtual sensor. The use of virtual sensors with a higher resolution than corresponding physical sensors in this manner allows for existing physical sensors to be used while improving performance of the VRF system.

    Building HVAC system with predictive temperature and humidity control

    公开(公告)号:US11193689B2

    公开(公告)日:2021-12-07

    申请号:US16441988

    申请日:2019-06-14

    Abstract: A predictive heating system for a building zone includes building equipment, a temperature sensor, a humidity sensor, and a predictive heating controller. The building equipment is operable to affect an environmental condition of the building zone in a heating mode of operation and a cooling mode of operation. The temperature sensor is configured to measure a temperature of the building zone. The humidity sensor is configured to measure humidify of the building zone. The predictive heating controller is configured to predict an occupancy time of the building zone over a future time period, determine a dehumidification time period before the occupancy time of the building zone, determine a heating time period before the occupancy time of the building zone, operate the building equipment to dehumidify the building zone over the dehumidification time period, and operate the building equipment to heat the building zone over the heating time period.

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