Novel intelligent sewage treatment process controlling method (EBIS)

Abstract

The invention discloses a novel process controlling system method which can perform artificial intelligence control on sewage treatment. The novel controlling method can imitate artificial intelligence according to water intake variation in waterworks on the basis of established structures, equipment, instruments and technologies in sewage treatment plants, the method being different from manual or automatic control methods. The method is characterized in that the novel process controlling method through artificial intelligence control is provided; an operation module and operation parameter which should be optimized by each process adjustment unit can be calculated for 24 hours according to the water quality changes of a sewage plant; and therefore, indexes like COD, ammonia nitrogen, total nitrogen and total phosphorus can be ensured to reach the standard, and minimum electricity and chemical consumption can be realized. Intelligent control of the open and close and frequency of fans, water pumps and valves can achieve the purposes of optimizing systems, reducing power consumption and enhancing operation stability; and the system can replace most of daily technical management works of sewage treatment engineers, be a management assistant of a large-scale sewage treatment plant, and enhance the technical management level of small and medium-sized sewage treatment plants.

Description

technical field [0001] The invention relates to a new artificial intelligence sewage treatment process control method (Energy BiochemicalIntelligent control System, EBIS), which is based on the established structures, equipment, instruments and processes of sewage treatment plants, and is different from manual and automatic adjustment control systems. According to the water inflow changes and inflow and outflow indicators of the water plant imitating artificial intelligence, a new method of operation control that adjusts each unit of the system to the best operating condition by module. [0002] The invention relates to a method of continuously recording and analyzing indicators such as pollutants, flow, and temperature of influent water, in-depth analysis of the water plant treatment process model, determining the delay time and diffusion effect of the impact from the monitoring point to each unit, and optimizing , A new method for automatic adjustment and optimization of pre...

AI Technical Summary

Problems solved by technology

[0003] Although the automatic adjustment control program used by the currently operating sewage treatment plants is to automatically control all the equipment on site, is responsible for the control of the entire sewage treatment process, and will respond to faults, but when the influent water volume changes or the influent water quality When changing, it is impossible to make corresponding adjustments to the aeration rate, return flow rate, chemical dosing rate, and sludge discharge rate in real time. The adjustment is entirely based on the experience of the on-site sewage treatment engineer, and there is a considerable lag.

Images