Pre-selected water quality monitoring network multi-objective optimized deployment method for some monitoring points

A multi-objective optimization, water quality monitoring technology, applied in design optimization/simulation, general water supply saving, special data processing applications, etc. The effect of less detection time and the most detection time

Active Publication Date: 2018-04-13
SHANGHAI ELECTRIC DIGITAL ECO-TECH CO LTD
View PDF6 Cites 14 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, the traditional multi-objective optimization algorithm aims to obtain the global optimal solution, which cannot meet this actual management r

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Pre-selected water quality monitoring network multi-objective optimized deployment method for some monitoring points
  • Pre-selected water quality monitoring network multi-objective optimized deployment method for some monitoring points
  • Pre-selected water quality monitoring network multi-objective optimized deployment method for some monitoring points

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0060] The present invention will be further described in detail below in conjunction with the accompanying drawings and examples. The following examples are explanations of the present invention and the present invention is not limited to the following examples.

[0061] Such as figure 1 As shown, a kind of water quality monitoring network multi-objective optimal deployment method of a part of monitoring points pre-selected of the present invention comprises the following steps:

[0062] Step 1: Select all candidate monitoring points according to the water area of ​​the monitoring area;

[0063] The GIS geographic information system is used to obtain the location information that needs to be focused on, such as all river intersections, regional border water quality control points, drinking water source control points, and potential point-to-face pollution sources in the monitoring area. River channel information; use the map distance measurement tool to measure the distance ...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

PUM

No PUM Login to view more

Abstract

The present invention discloses a pre-selected water quality monitoring network multi-objective optimized deployment method for some monitoring points. The method comprises the following steps: selecting all candidate monitoring points according to the water area of the monitoring area; performing hydraulic modeling and simulating water pollution incidents at any candidate monitoring point in themonitoring area; determining an optimization objective function, and pre-selecting monitoring points according to monitoring requirements and expert experience; and calculating the average pollution monitoring time and the successful monitoring probability according to the cost function, and updating the pbest and gbest sets, ensuring that the preselected some monitoring points are included in thesolution set, and finally finding the Pareto front as the optimal solution set including the preselected monitoring points. The method disclosed by the present invention is applied to the optimized deployment of the water quality monitoring system under the condition that certain monitoring points have been determined, and optimization can be performed according to different objectives, so that the detection time is the least, the detection reliability is the highest, and the graph center is the best.

Description

technical field [0001] The invention relates to an optimal deployment method, in particular to a multi-objective optimal deployment method for a water quality monitoring network with some monitoring points preselected. Background technique [0002] In recent years, affected by various factors such as the rapid development of industrial production 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, which has 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 pollutants, and the law of growth and decline, predict the trend of water pollution changes, and provide a basis for the evaluation of water environment quality. And take ...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

Application Information

Patent Timeline
no application Login to view more
IPC IPC(8): G06F17/50
CPCG06F30/20Y02A20/152
Inventor 朱晓辉陈苏蓉喻纪文李青刘明茅家伟
Owner SHANGHAI ELECTRIC DIGITAL ECO-TECH CO LTD
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Try Eureka
PatSnap group products

Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic.

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap