Device control method based on big data and artificial intelligent water quality prediction

Abstract

The invention relates to a device control method based on big data and artificial intelligent water quality prediction. The method comprises: preprocessing historical data; training the preprocessed historical data by using a random forest classification algorithm to obtain a random forest; inputting a test sample into the trained random forest and carrying out classification to obtain a prediction result; and controlling all devices based on the prediction result. Therefore, the stability of the effluent water quality of the sewage treatment plant can be improved; the manual intervention degree can be reduced; and the energy consumption can be reduced.

Description

technical field [0001] The invention relates to the technical field of sewage treatment, in particular to an equipment control method based on big data and artificial intelligence water quality prediction. Background technique [0002] The technical development and innovation of biological sewage treatment process based on activated sludge has been relatively slow in the past 100 years. Most sewage treatment plants have only achieved automatic control of sewage treatment equipment, that is, manual or semi-manual control of sewage treatment equipment in the central control room. In this case , The control of effluent water quality basically depends on experience, and at the same time, the energy consumption and dosage of equipment cannot be effectively reduced, and the problems of effluent water quality exceeding the standard and high energy consumption of equipment cannot be effectively improved. [0003] The water quality monitoring equipment of the environmental protection...

AI Technical Summary

Problems solved by technology

[0002] The technical development and innovation of biological sewage treatment process based on activated sludge has been relatively slow in the past 100 years. Most sewage treatment plants have only achieved automatic control of sewage treatment equipment, that is, manual or semi-manual control of sewage treatment equipment in the central control room. In this case , the control of effluent water quality is basically based on experience, and at the same time, the energy consumption and dosage of equipment cannot be effectively reduced, and the problems of effluent water quality exceeding the standard and high energy consumption of equipment cannot be effectively improved

[0003] The water quality monitoring equipment of the environmental protection department is generally placed in the unattended monitoring station of the water plant, or the environmental protection department regularly samples and monitors the water quality of the sewage plant. make an impact

[0004] The existing operating mode of sewage treatment plants is to manually control the operating parameters of the equipment, such as manually controlling the aeration rate and manually controlling the dosing amount. This requires operation and maintenance personnel to have rich experience in operation and maintenance, and those with rich experience in operation and maintenance Personnel, relatively scarce in the sewage treatment industry

Moreover, the manual control of equipment by operation and maintenance personnel cannot achieve timely and frequent modification of equipment operating parameters, which will cause unstable water quality and high operating costs.

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