A dynamic optimization electrolytic cell parameter automatic modification system and method

Abstract

The application provides a dynamic optimization electrolytic cell parameter automatic modification system and method, relates to the technical field of electrolytic aluminum production equipment control, and comprises a main control unit, a data processing unit, a parameter optimization unit, an execution unit and a closed loop feedback unit which are in communication connection with the main control unit, the main control unit is used for overall coordination of collaborative work of each unit, receiving information fed back by each unit, and issuing control instructions for data acquisition, processing, parameter optimization, execution and monitoring, by adopting parallel computing architecture and a light neural network model, the parameter optimization period is shortened to 1 / 3 of the traditional method, the parameter adjustment response speed is fast, the dynamic change of the electrolytic cell operation state can be adapted in real time, the problem of slow response of the traditional parameter adjustment is solved, compared with the traditional manual adjustment and single intelligent algorithm optimization, the parameter optimization period of the application is less than or equal to 10s, parameter iteration optimization can be quickly completed, and the electrolytic cell is ensured to be always in the optimal operation state.

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