An intelligent electric dust removal control method and system based on working conditions

Abstract

The application relates to the technical field of electric dust removal control, in particular to an intelligent electric dust removal control method and system based on working conditions, which comprises the following steps: obtaining historical operation data of an electric dust removal system, obtaining working condition operation data of each device according to the historical operation data; performing stability analysis on the working condition operation data to determine a stability degree; constructing a stability degree prediction model based on the working condition operation data and the stability degree; obtaining real-time working condition operation data, inputting the real-time working condition operation data into the stability degree prediction model to determine the comprehensive stability degree of the electric dust removal system; comparing the comprehensive stability degree with a preset stability degree threshold to determine the optimizable device and the corresponding optimization working condition data; and the application solves the technical problems that the working condition of the electric dust removal system is relatively complex, the stability of different working condition data cannot be clearly and explicitly defined, the working condition state of the electric dust removal device cannot be accurately judged, and the management efficiency of the intelligent electric dust removal control system is greatly reduced.

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