Data driving method for multi-point chlorination in drinking water treatment process

Abstract

The invention relates to a data driving method for multi-point chlorination in a drinking water treatment process. The method is used for predicting the chlorination amount of each chlorination point of multi-point chlorination in the drinking water treatment process of a water source and a water plant. According to the method, a data driving model adopting a random forest regression algorithm is adopted, and through correlation analysis and data set training of the chlorine adding amount of each chlorine adding point and raw water quality indexes (turbidity, oxygen consumption, pH value, water temperature, ammonia nitrogen, dissolved oxygen, conductivity and algae density), a chlorine adding amount data driving model of each chlorine adding point is obtained; and chlorine adding amount prediction of multi-point chlorine adding is carried out. The multi-point chlorination data driving method provided by the invention is scientific, accurate, low in chlorine consumption and low in cost, and can effectively improve the chlorine use efficiency in the drinking water treatment process, reduce the generation of byproducts in the disinfection process and improve the effluent quality in the drinking water treatment process.

Description

technical field [0001] The invention relates to the technical field of drinking water treatment, in particular to a data-driven method for multi-point chlorination in the drinking water treatment process. Background technique [0002] Drinking water is a basic need for human survival, and the development of drinking water treatment technology is directly related to the health of the people and the security and stability of society. After more than a hundred years of development, modern drinking water treatment technology has gradually matured. The drinking water purification process of the waterworks is generally divided into four steps: coagulation, sedimentation, filtration, and disinfection. Disinfection is an important step to ensure the safety of drinking water quality. At present, the disinfection process adopted by most waterworks in my country is chlorine disinfection, and the chlorine disinfectants added include chlorine gas, sodium hypochlorite, liquid chlorine, e...

AI Technical Summary

Problems solved by technology

[0010] The current existing drinking water treatment multi-point chlorination control method is mainly based on manual experience, according to water quality indicators (turbidity, oxygen consumption, pH value, water temperature, ammonia nitrogen, dissolved oxygen, conductivity, algae density) to adjust the chlorine addition amount of each chlorine addition point in isolation, on the one hand, there is no coordinated control of the chlorine addition amount at each chlorine addition point, and on the other hand, there is a lack of scientific and accurate judgment of the chlorine addition amount

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