Bidirectional water flow-based multi-objective optimal deployment method of water quality monitoring network

A technology for multi-objective optimization and water quality monitoring, applied in the field of underwater sensor network deployment, can solve the problems of no multi-objective optimization and unsatisfactory optimization effect, and achieve the effect of high detection reliability, less detection time, and optimized deployment.

Active Publication Date: 2017-09-22
XIAN JIAOTONG LIVERPOOL UNIV
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Problems solved by technology

This method can only be applied to unidirectional water flow and rivers, and without multi-objective optimization, the optimization effect is not ideal

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  • Bidirectional water flow-based multi-objective optimal deployment method of water quality monitoring network

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[0040] In order to make the object, technical solution and advantages of the present invention clearer, the present invention will be further described in detail below in combination with specific embodiments and with reference to the accompanying drawings. It should be understood that these descriptions are exemplary only, and are not intended to limit the scope of the present invention. Also, in the following description, descriptions of well-known structures and techniques are omitted to avoid unnecessarily obscuring the concept of the present invention.

[0041] Such as figure 1 As shown, a multi-objective optimal deployment method for water quality monitoring network based on two-way water flow, including the following steps:

[0042] 1. Computer modeling of water quality monitoring river channel as a directed graph

[0043]Through the GIS geographic information system, the location information that needs to be paid attention to, such as all river intersections, regiona...

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Abstract

The invention discloses a bidirectional water flow-based multi-objective optimal deployment method of a water quality monitoring network. The method comprises: combining intersection points of water areas, location information of key points and flow directions of water flows into a directed-graph vertex set, and calculating distances between adjacent vertices to obtain a weighted directed graph by modeling. carrying out hydraulic modeling according to the weighted directed graph, simulating water quality pollution events at any time in a monitored area, and establishing hydraulic parameters of each monitored water area sections; determining an optimization object function; and carrying out multi-objective optimization according to a multi-objective particle swarm algorithm, and constantly adjusting particle moving speeds and positions to seek an optimal solution, wherein average detection times and successful-detection probabilities of pollution under the two different water flow directions are respectively calculated according to a cost function, then a total detection time and a total successful-detection probability of the pollution are calculated according to a time occupying ratio of the water flows of the two different water flow directions, and a Pareto front is searched to be an optimal solution set. According to the method, optimal deployment for a water quality monitoring system in the case of the bidirectional water flows can be realized, and optimization can be carried out according to different objectives.

Description

technical field [0001] The invention relates to a deployment method of an underwater sensor network, in particular to a multi-objective optimal deployment method of a water quality monitoring network based on bidirectional water flow. Background technique [0002] In the past 20 years, affected by various factors such as China's extensive economic growth and population increase, the deterioration of the water environment has intensified and water pollution incidents have occurred frequently, posing a serious threat to economic development and social stability. Incidents such as the leakage of nitrobenzene in the Songhua River, the leakage of cyanobacteria in Taihu Lake, and the leakage of phenol from a freighter in Zhenjiang have attracted widespread attention at home and abroad. Monitoring the water environment closely related to human life can grasp the distribution of water pollutants, ascertain various pollutants, trace the source, route, migration and transformation of ...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F17/50
CPCG06F30/20Y02A20/152
Inventor 岳勇朱晓辉张一新王威
Owner XIAN JIAOTONG LIVERPOOL UNIV
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