摘要:
A method for controlling a system including a plurality of subsystems, includes receiving operational data from the plurality of subsystems of the system (S21). A future condition of each of the plurality of subsystems is estimated from the received operational data (S22). A control strategy for delaying a need for system maintenance is generated based on the estimated future condition of each of the plurality of subsystems (S23). An operation of the system is controlled based on the generated control strategy (S24).
摘要:
A method for controlling a system including a plurality of subsystems, includes receiving operational data from the plurality of subsystems of the system (S21). A future condition of each of the plurality of subsystems is estimated from the received operational data (S22). A control strategy for delaying a need for system maintenance is generated based on the estimated future condition of each of the plurality of subsystems (S23). An operation of the system is controlled based on the generated control strategy (S24).
摘要:
A model predictive control (MPC) framework is enhanced to provide prognostic information and fault tolerant control strategies. A system fault is calculated based on predicted values and is used to generate an internal reference trajectory to which the system is controlled using MPC. If the system fault exceeds a threshold maximum, then the MPC control model is either tuned or reconfigured depending on whether the fault is external or internal.
摘要:
Formal methods are instituted to verify and validate the finite state machine (FSM) of PLC redundancy software. The method and system is implemented through each phase in the lifecycle of the redundancy software; that is, the requirement phase, design phase, implementation phase and, finally, integration phase (including system integration). At each step along the way, the verification and validation process uses tools such as a checklist-based review and inspection, a requirement traceability analysis, formal verification (model checking) and the like to ensure that the created redundancy software is error-free and will perform as intended when implemented in the redundant PLC system.
摘要:
A method of controlling energy consumption in a building includes receiving occupancy data including at least one of occupant request data and occupant schedule data, receiving weather data including at least one of current weather measurement data and weather forecast data, generating an output control signal based on the occupancy data and the weather data, and transmitting the output control signal to a building automation system (BAS) of the building. The occupant request data includes a current request, and the occupant schedule data includes a predicted occupant schedule. The output control signal adjusts a building control device in a zone in the building.
摘要:
A model predictive control (MPC) framework is enhanced to provide prognostic information and fault tolerant control strategies. A system fault is calculated based on predicted values and is used to generate an internal reference trajectory to which the system is controlled using MPC. If the system fault exceeds a threshold maximum, then the MPC control model is either tuned or reconfigured depending on whether the fault is external or internal.
摘要:
A method of controlling energy consumption in a building. The method includes receiving occupant request data comprising a plurality of requests, wherein each of the plurality of requests corresponds to one of a plurality of zones in the building wherein the occupant request data is received via a cloud computing resource. The method also includes receiving weather data comprising at least one of current weather measurement data and weather forecast data wherein the weather data is received via a cloud computing resource. In addition, a facility management rule is received via a cloud computing resource. Further, the method includes generating a plurality of output control signals via cloud computing resource, wherein each of the plurality of output control signals is based on one of a plurality of requests and predicted occupant schedules, energy price data and the facility management rule. The control signals are generated by using simulation-based model predictive control method to determine a set of optimized control signals based on optimized energy use or optimized energy cost. The optimized control signals are transmitted to controllers.
摘要:
A method and system may operate to receive a first data from a sensor of a controlled device via a wireless network at a first time, transmit the first data to a controller system, receive a second data from the sensor of the controlled device via the wireless network at a second time, transmit the second data to the controller system, determine that a third data has not been received prior to a predetermined time period, or that the third data has been received prior to the predetermined time period and the third data is outside of a determined range of values, calculate a fourth data based on the first data and the second data, and transmit the fourth data to the controller system at a third time.
摘要:
A method including: computing a total cost for a first zone in a building, wherein the total cost is equal to an actual energy cost of the first zone plus a thermal discomfort cost of the first zone; and heuristically optimizing the total cost to identify temperature setpoints for a mechanical heating/cooling system and a start time and an end time of the mechanical heating/cooling system, based on external weather data and occupancy data of the first zone.
摘要:
A method of controlling energy consumption in a building. The method includes receiving occupant request data including a plurality of requests, wherein each of the plurality of requests corresponds to one of a plurality of zones in the building wherein the occupant request data is received via a cloud computing resource. The method also includes receiving weather data including at least one of current weather measurement data and weather forecast data wherein the weather data is received via a cloud computing resource. In addition, a facility management rule is received via a cloud computing resource. Further, the method includes generating a plurality of output control signals via cloud computing resource, wherein each of the plurality of output control signals is based on one of a plurality of requests and predicted occupant schedules, energy price data and the facility management rule. The control signals are generated by using simulation-based model predictive control method to determine a set of optimized control signals based on optimized energy use or optimized energy cost. The optimized control signals are transmitted to controllers.