Water supply pipe network pollution monitoring sensor multi-target arrangement method based on pollution probability

Abstract

The invention provides a water supply pipe network pollution monitoring sensor multi-target arrangement method based on a pollution probability. The method comprises the following steps: step 1, simulating conditions of pollutant invasion of each node of a water supply pipe network to obtain influences of various pollution events on the water supply pipe network; step 2, obtaining a pollution probability of each node according to influences of pollution of each node on the water supply pipe network; step 3, based on a multi-objective optimization method, obtaining Pareto frontier solutions under various pollution probabilities; and step 4, clustering and sorting the Pareto frontier solutions under the various pollution probabilities by adopting a multi-criterion decision clustering analysis method to obtain an optimal scheme of each cluster under different conditions, and comparing and analyzing various optimal schemes by utilizing the influences on the pipe network after the pollutant invasion of the pipe network occurs. According to the method, changes of the node pollution probabilities are considered when sensors are optimally arranged, and the sensor arrangement scheme with the minimum influence on the pipe network during the pollutant invasion can be obtained.

Description

technical field [0001] The invention relates to the optimal layout of urban water supply pipe network sensors, in particular to a multi-target layout method for water supply pipe network pollution monitoring sensors based on pollution probability. Background technique [0002] The water supply network is an important urban infrastructure that provides residents with safe drinking water. Due to its dispersed spatial structure, each node of the water supply network is prone to the risk of pollutant intrusion. In order to ensure the safety of water supply, it is necessary to establish a safe and effective monitoring system for the water supply network to effectively identify the intrusion of pollutants. The accuracy of the monitoring system is closely related to the number and location of sensors. Therefore, optimizing the arrangement of sensors is a prerequisite for effective identification of pollutant intrusion. [0003] The optimal arrangement of sensors involves the sele...

AI Technical Summary

Problems solved by technology

However, some high-sensitivity points in the water supply network are usually scattered in a relatively concentrated area, and this aggregation effect leads to information redundancy in the sensor network.

Images