Energy-saving control system with chaos optimization-based SVM prediction for sewage treatment

Abstract

The invention provides an energy-saving control system with chaos optimization-based SVM prediction for sewage treatment. The system comprises a computer network system used for realizing the integration of management and control, an activated sludge and sewage treatment system model module, a production process control module and a production management scheduler module, wherein the production management scheduler module, the production process control module and the activated sludge and sewage treatment system model module are sequentially connected by the computer network system. When being used for the running of a sewage treatment plant, the system not only can reduce the energy consumption of the sewage treatment plant by 15 to 25 percents, but also can upgrade the treatment effect of the sewage treatment plant by one degree on the basis of the original design, thereby having huge potential.

Description

technical field [0001] The invention relates to the field of urban sewage treatment and industrial wastewater treatment using activated sludge method, in particular to a support vector machine prediction energy-saving control system for sewage treatment based on chaos optimization. Background technique [0002] In the context of energy conservation and emission reduction, during the "Eleventh Five-Year Plan" period, the energy consumption per unit of GDP will be reduced by about 20%, the total discharge of major pollutants will be reduced by 10%, and the sewage treatment rate of cities with cities nationwide will not be lower than 70%. The urban sewage treatment industry is facing unprecedented opportunities for development. At present, my country has entered the peak period of construction of sewage treatment plants, and the energy saving and operation management of the production process of sewage treatment plants has become a hot topic in the industry. However, the curre...

AI Technical Summary

Problems solved by technology

[0003] 1. The operating performance of the sewage treatment plant is not high, and the load rate is low. The average load rate of the national sewage treatment plant is 63.74 (2008 data), the organic matter removal rate is low, and the effluent water quality fluctuates greatly;

[0004] 2. The degree of integrated management of ope

Images