Intelligent regulation and control method and system for sewage treatment based on Gaussian function feature extraction

Abstract

The invention belongs to the technical field of sewage treatment, provides an intelligent regulation and control method and system for sewage treatment based on Gaussian function feature extraction, and aims to optimize a sewage treatment process in a data-driven manner. The method comprises the following steps: firstly, collecting time sequence data of an external reactor through a simulator; then preprocessing the time series data; then establishing a substrate kinetic function of a reaction tank of the sewage plant; based on the dynamic function, combining a differential equation, establishing a data driving model, and calibrating and verifying the data driving model; furthermore, key control parameters of the sewage plant are dynamically regulated and controlled, so that the lowest energy consumption and the optimal effluent quality are realized; and finally, by updating data and Gaussian parameters of the external reactor in real time, a real-time control signal is generated, and operation of the sewage treatment plant is optimized. The method has self-adaptive capability, can optimize the sewage treatment process in real time, reduce energy consumption and improve treatment efficiency, and is especially suitable for intelligent control of an AO denitrification process.

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