FIELD: production facilities management.
SUBSTANCE: invention relates to the management of production facilities using real-time simulation. In particular, a method is claimed for controlling a production facility that includes a plurality of systems. The method comprises the steps of: generating, in a modeling block, a system model for one or more systems from a plurality of production facility systems based on an input signal, sensor data, and an output signal from a plurality of systems at the production facility; forming an object model for the production object based on the dependencies between the specified system models containing connections for feedback between the system models; control the production object by simulating the operation of the production object using the object model. At the same time, the control of the production object contains at least one of the stages, at which: predicting optimized input signals for the production object based on anomalies in the operation of the production object and associated state parameters that cause anomalies, while anomalies are identified based on sensor data and output signals of the object producing using one or more predetermined thresholds or machine learning technologies, and wherein the associated state parameters are determined by modeling likely abnormal conditions using a plant model using root cause technologies; validating the optimized inputs by generating simulated instances for the optimized inputs for the production target using the target model; predicting the operation of a new system to be deployed at the production facility, wherein the new system includes a newly commissioned system or a system, from a plurality of systems, with one of a hardware upgrade and a software upgrade, and initiating operation of the production facility based on the validated optimized input signals.
EFFECT: improving the efficiency of production facilities management with the possibility of remote monitoring and real-time modeling.
13 cl, 10 dwg
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Authors
Dates
2022-11-22—Published
2020-09-04—Filed