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 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.
摘要:
A Model Predictive Control (MPC) framework is implemented as part of the run-time system function features of a Programmable Logic Controller (PLC) system. Optimal control calculations are performed in the run-time MPC function block of the PLC. The optimal control function is determined by an MPC block in an engineering tool of the PLC, using a system dynamic matrix containing measurements from a unit step response test performed by the PLC.
摘要:
A Model Predictive Control (MPC) framework is implemented as part of the run-time system function features of a Programmable Logic Controller (PLC) system. Optimal control calculations are performed in the run-time MPC function block of the PLC. The optimal control function is determined by an MPC block in an engineering tool of the PLC, using a system dynamic matrix containing measurements from a unit step response test performed by the PLC.
摘要:
A three-layer model of an engineering system is proposed for developing and evaluating a resilient industrial control system incorporated within the engineering system, the model based upon a group of metrics that are cyclically estimated, operated and evaluated to create a valid resilient arrangement. The layers in the model include a human/operator layer, an automation layer and a process layer, where the industrial control system resides in the automation layer. The metrics are based upon the identification of a number of undesirable incidents, as well a determination of the frequency of occurrence of these incidents, their impact on the performance of the engineering system and the financial loss of the engineering system based upon these undesirable incidents.
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.