Water source pollution detection method based on evidence theory

A technology of pollution detection and evidence theory, applied in the field of information processing, can solve problems such as weak information processing ability, high computational complexity, and poor versatility, and achieve the effects of reducing subjective influence, low computational complexity, and good versatility

Inactive Publication Date: 2016-02-10
NORTHWESTERN POLYTECHNICAL UNIV
View PDF3 Cites 5 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

In practical applications, there are problems of poor versatility, high computational complexity, poor real-time performance, and problems in reasonably realizing the comprehensive evaluation of various factors and indicators that affect water quality, and the comprehensive processing of various uncertain factors that may appear in the detection process. Uncertain information processing ability is weak and other issues

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
  • Water source pollution detection method based on evidence theory
  • Water source pollution detection method based on evidence theory
  • Water source pollution detection method based on evidence theory

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0027] The embodiments of the present invention are described in detail below, and the present embodiments are implemented on the premise of the technical solution of the present invention, and detailed implementation methods and specific operating procedures are provided, but the scope of application of the present invention is not limited to the following implementation example. This embodiment is an example of the water quality pollution detection process in the water resources distribution system. The specific process of this implementation includes the following steps:

[0028] (1) Classification of pollution levels

[0029] Five pollution levels are used: very low (VL), low (L), medium (M), high (H), and very high (VH). The number of focal elements of the basic probability assignment function corresponds to the pollution level.

[0030] (2) Fuzzy number model of water quality index

[0031] Firstly, the fuzzy number model of water quality indicators is generated acco...

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 invention relates to a water source pollution detection method based on an evidence theory, and the method uses an information processing technology to detect the pollution degree of water. A fuzzy number model of the water resource water quality index is generated according to existing data, the similarity between a sampling value in a water resource distribution system and the fuzzy number model of the existing index is obtained according to a similarity measurement method of the fuzzy number, basic possibility appointment is generated on the basis of the similarity, a classic fusion method is used to fuse the basic possibility appointment, a main focal element of a fusion result is determined, the pollution degree of the system is obtained according to the correspondence between the pollution level and function elements of the basic possibility appointment, and water resource pollution is detected. The detection method has the advantages of higher versatility, low computational complexity and high instantaneity, and can be conveniently used in water resource pollution detection.

Description

technical field [0001] The invention relates to a method in the technical field of information processing, in particular to a water resource pollution detection method based on evidence theory. Background technique [0002] In recent years, the water pollution problems and potential risks of rivers and lakes cannot be ignored, and have attracted much attention from the society. Relying on water quality detection and monitoring, computer, network communication and information technology and other modern scientific and technological means, establish a complete water quality detection and monitoring and information management system, grasp the water quality status in time, analyze and predict the change law and trend of water quality, in order to deal with the deterioration of water quality or the occurrence of alarm in advance Providing forecast information support has become one of the technical problems that need to be solved urgently. Since there are many factors and indic...

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
Patent Type & Authority Applications(China)
IPC IPC(8): G06Q10/04G06Q50/06
CPCY02A20/152
Inventor 蒋雯吴翠翠汤潮陈运东
Owner NORTHWESTERN POLYTECHNICAL UNIV
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