Sensor optimization arrangement method for water supply network pollutant intrusion point identification

Abstract

The invention provides a sensor optimization arrangement method for water supply network pollution intrusion point identification, which comprises the following steps: firstly, carrying out risk assessment on pollution intrusion nodes, selecting and clustering the pollution intrusion nodes, obtaining a group of sensor arrangement schemes on the basis of a hierarchical algorithm to meet the identifiability of a sensor network, and then, based on the number of the sensors and the influence on the sensor network when the sensors fail, comparing various schemes to obtain an optimal scheme, wherein the change of the pollution probability is considered when the various schemes are compared. Under the condition that the number of the sensors is limited, the method considers the change of the probability of occurrence of various pollution invasion nodes, can ensure that the pollution invasion nodes causing serious consequences are detected and identified, and has important significance on water supply network pollutant invasion monitoring.

Description

technical field [0001] The invention belongs to the optimal arrangement of sensors in urban water supply pipe networks, and in particular relates to a method for optimal arrangement of sensors used for identifying intrusion points of pollutants in the water supply pipe network. [0002] technical background [0003] The water supply network is an important part of urban infrastructure, providing drinking water to residents through pipelines. The nodes in the water supply network may be intentional or unintentional pollutant intrusion points, and the pollutant intrusion will directly threaten the lives of users. In order to mitigate the harm caused by the intrusion of pollutants, it is necessary to arrange sensors in the water supply network to build a safe and efficient monitoring system. Considering the cost of installation and maintenance, it is impossible to arrange sensors at every node of the pipeline network. The sensor locations need to be chosen optimally and the nu...

AI Technical Summary

Problems solved by technology

Although these methods take into account the change of pollution probability and the selection of pollution events, they cannot identify the pollutant invasion point

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