Water quality prediction method and system for sewage treatment based on machine learning

Abstract

The invention relates to the field of machine learning, in particular to a water quality prediction method and system for sewage treatment based on machine learning. The water quality prediction method comprises the steps: determining a measurement parameter of sewage and an industrial standard of sewage treatment, initializing the measurement parameter of sewage, and initializing a feature weight vector of the measurement parameter as 1; obtaining the fitness of the measurement parameter of sewage, and taking the individual with the maximum fitness as the optimal individual; copying n-1 optimal individuals, and adding a random value to feature weight of each copied individual; obtaining the fitness of the current individual, and selecting the individual with the maximum fitness as the optimal individual; if the maximum number of iterations is reached, outputting an optimal feature weight vector; inputting the obtained optimal feature vector into a linear support vector machine; and inputting the real-time measurement parameter of sewage into a trained linear support vector machine to obtain a prediction result. According to the water quality prediction method, the sewage quality can be effectively predicted, and assistance is provided for actual sewage treatment.

Description

technical field [0001] The invention relates to the field of machine learning, in particular to a water quality prediction method and system for sewage treatment based on machine learning. Background technique [0002] Water environment management has always been a major concern of people's livelihood, among which sewage treatment is the top priority. At this stage, with the gradual improvement of our country's social level and the deepening of industrialization, the social demand for water is large, and the discharge of industrial sewage is increasing, which has caused a certain degree of damage to our country's water resources and environment. Environmental pollution and other issues are becoming more and more prominent, and water security is facing severe challenges. In the government's water management plan, black and odorous water treatment is the top priority of the current urban water work. Therefore, in order to promote the construction of ecological civilization i...

AI Technical Summary

Problems solved by technology

[0004] In the existing field of sewage treatment, most of the water quality predictions for sewage plants at this stage are manually designed or extracted from the characteristics of water quality data to achieve data processing. The disadvantage of this method is that it requires a lot of labor and is expensive. The extracted features are often limited to specific tasks, and the main problem is that since the sewage water quality changes in real time, when there is a problem with the sewage water quality, it cannot be solved in real time.

Therefore, the existing technology often directly uses some methods in the traditional information retrieval to extract the features in the water quality data, but these traditional methods cannot capture the information we need well, and cannot remedy the problems that arise in a timely manner.

Images