Knowledge and data information decision making-based sewage processing optimization control method

Abstract

A knowledge and data information decision making-based sewage processing optimization control method is disclosed and belongs to the field of intelligent control. According to the method, decision making on weight of multi-target optimization indexes is performed via fusion of knowledge information and data information; sewage processing procedure optimization performance indexes can be improved while that effluent quality can reach standards is be ensured. In a first step, weight coefficient distribution of the multi-target optimization indexes is determined according to sewage processing knowledge information and process dynamic data information used for decision making; in a second step, a group of Pareto optimal solutions for optimization problems are be obtained via a multi-target optimization method, and a satisfactory optimization solution, i.e. optimization set values for dissolved oxygen concentration and nitrate nitrogen concentration, is determined according to obtained weight coefficients; in a final step, an optimization set value tracking task is carried out via a bottom layer controller; according to the method, knowledge information on a subjective layer and dynamicdata information in processing procedures are taken into consideration during decision making direction adjustment, and energy consumption and operation cost in sewage processing processes can be effectively lowered.

Description

technical field [0001] The invention proposes a sewage treatment optimization control method based on knowledge and data information decision-making, which integrates the knowledge information and data information of the sewage treatment process into the decision-making process of multi-objective optimization in the sewage treatment process, and guides the direction of multi-objective optimization. The multi-objective optimization index is the process energy consumption index and water quality performance index of the specific conflicting characteristics in sewage treatment. Through decision-making and multi-objective optimization algorithm, the dynamic optimization of the dissolved oxygen concentration in the aerobic area and the nitrate nitrogen concentration in the anaerobic area is dynamically optimized. . The optimal control of sewage treatment is an important research topic in the field of water treatment, which belongs to the field of water research and also belongs to ...

AI Technical Summary

Problems solved by technology

In the existing multi-objective optimization control methods for sewage treatment at home and abroad, the main problems are: considering the multi-objective optimization characteristics of the sewage process, but the optimization algorithm still treats it as a single-objective optimization problem; the optimization algorithm is an offline working mode, there is no Realize online optimization, etc.

The common method is to determine based on the subjective preference of the decision-maker, but this method is relatively subjective, and the distribution of performance index weight coefficients is only based on the preference of the decision-maker, which lacks objectivity, and the adjustment of external decision-making information cannot be reflected in the optimization control part in time

Images