Engineering optimization method for improving water quality pollution monitoring efficiency of water supply pipe network

Abstract

The invention provides an engineering optimization method for improving the water quality pollution monitoring efficiency of a water supply pipe network, and the method comprises the following steps:building and checking a hydraulic model, and building a water quality model based on the hydraulic model; setting optimized parameters of the water quality monitoring system; calculating a water quality pollution probability function of each node; establishing a pipe network water quality monitoring multi-objective optimization function model; adopting an intelligent algorithm to solve the multi-objective optimization function model, so that an optimized solution set is obtained, the monitoring probability of pollution events can be improved, the monitoring time after water quality pollution invasion is shortened, and the method has important scientific significance and application value for urban water supply pipe network water quality safety guarantee.

Description

technical field [0001] The invention relates to an engineering optimization method for improving the water quality pollution monitoring efficiency of a water supply pipe network. Background technique [0002] The urban water supply network is the main source of drinking water for residents, therefore, the safety of the water supply network is closely related to human health. However, in recent years, with the rapid development of the economy, sudden drinking water safety accidents have occurred frequently, seriously endangering urban production and life. Therefore, in the face of sudden accidents, how to detect them in time and minimize their impact range, so as to ensure the safety of drinking water, has become the focus of social attention and has become a research hotspot in the field of water supply. [0003] In the face of sudden pollution accidents in the pipeline network, it is often used to arrange monitoring points in the pipeline network to respond quickly to the ...

AI Technical Summary

Problems solved by technology

Therefore, the monitoring system that adopts the assumption that the probability of pollution events at all nodes is equal has the problem of low monitoring efficiency (such as low monitoring probability and long monitoring time) in practical applications, especially in solving the problem of water quality monitoring in large and complex water supply networks. On, this defect will be more obvious

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