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Multi-source monitoring data information fusion processing method

A technology for fusion processing and monitoring data, which is applied in the fields of electrical digital data processing, special data processing applications, water testing, etc., and can solve problems such as incomprehensible fusion process, strong subjectivity, unknown probability, etc.

Inactive Publication Date: 2005-01-26
HOHAI UNIV
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AI Technical Summary

Problems solved by technology

[0002] At present, the fusion processing methods for water environment monitoring data information mainly include cluster analysis method, neural network method, etc. These methods have defects such as strong subjectivity, need for training samples, unsuccinct fusion process, and simplified assumptions (such as: unknown probability, etc.)

Method used

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Embodiment

[0076] Taking the water quality monitoring data of a hydrological station in the Yangtze Estuary from January to March in 2002 as the object, the implementation process of the present invention is described.

[0077] (1) Select the water environment monitoring data for fusion processing. According to the geographical location of the Yangtze Estuary and the surrounding environment, the water quality monitoring data of factors that have a greater impact on the water environment are selected for analysis (see Table 2).

[0078] Table 2 Environmental quality of surface water in the Yangtze Estuary (part) unit mg / L

[0079] BOD5 Permanganate Index Dissolved Oxygen Ammonia Nitrogen

[0080] January 0.95 2.28 10.8 0.21

[0081] February 1.58 2.55 10.55 0.38

[0082] March 0.9 3.03 10.5 0.37

[0083] (2) Determine the identification framework in evidence theory. Based on the historical conditions and changing laws of the water environment in the Yangtze River Estuary,...

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Abstract

This invention is method for multiple source monitoring data fusion, the details of which are the following: to select suitable datum of water environment monitoring according to chart one as fusion datum; to determine the identification frame in evidence theory with at most five kinds of basic values; to determine the basic confidence level and assign function values zero to one; to classify the process of the monitoring fusion data into two kinds of evidence and multiple kinds of evidence; to lay criterion rules for category; to distribute largest probability value to the determined water environment and the difference with other water environment more than threshold value 0.28; the basic uncertainty probability value m(theta) is less than threshold value 0.35 and the basic probability value of determined water environment m(A) is larger than uncertainty probability value m(theta).

Description

technical field [0001] The invention relates to a method for fusion processing of multi-source heterogeneous water environment monitoring data information. It belongs to the technical field of detection and information processing. Background technique [0002] At present, the fusion processing methods for water environment monitoring data information mainly include cluster analysis method, neural network method, etc. These methods have defects such as strong subjectivity, need for training samples, unsuccinct fusion process, and simplified assumptions (such as: unknown probability, etc.) . Contents of the invention [0003] The purpose of the present invention is to design a method for fusion processing of multi-source heterogeneous water environment monitoring data information based on evidence theory (D-S theory) for the above-mentioned defects. This method has the characteristics of easy representation of uncertainty information, transformation of uncertainty informat...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G01N33/18G06F19/00
Inventor 徐立中林志贵张志林许宝华朱巧云
Owner HOHAI UNIV
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