System and method for AI controlling waste-water treatment by neural network and back-propagation algorithm

摘要

A system and method for controlling treatment of the sewage/waste water. The method includes measuring attributes of inflow water flowing into a sewage/waste water treatment plant, attributes of an internal condition of a reaction tank having a first story and a second story, and fluid present values (PVs) of efficiency attributes of outflow water. The method also includes collecting data of the measured fluid PVs and operation-processing the data to convert the data into physical quantity data. The method also includes obtaining each optimum set point (SP) of each dissolved oxygen (DO) and solids retention time (SRT) of the first story and the second story of an exhalation tank by comparing PVs of the measured attributes using a neural network control program with a back-propagation algorithm. The method also includes converting each obtained optimum SP into an analog and digital control output value by comparing each obtained optimum SP with each PV of each DO and SRT of the first story and the second story of the exhalation tank. The method also includes controlling each air control valve of the first story and the second story of the exhalation tank and a pump for drawing sludge based on each obtained control output value.