Multisource information fusion method in evidence high-conflict environment

A multi-source information fusion and evidence technology, applied in the field of information processing, can solve problems such as unreasonable results

Inactive Publication Date: 2011-03-30
SHANDONG UNIV OF SCI & TECH
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  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

Although the D-S evidence theory has its own advantages, the direct application of the D-S evidence synthesis rules in the case of highly conflicting sensor information w

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  • Multisource information fusion method in evidence high-conflict environment
  • Multisource information fusion method in evidence high-conflict environment

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Embodiment Construction

[0049] Such as figure 1 As shown, the fusion structure established by the present invention is composed of n types of sensor monitoring systems, in which each local system is based on its own observation value y i complete the same decision task u i Then the decision value u i It is transmitted to the fusion center, and the task of the fusion center is to make the final decision u according to the received local decisions and use the optimal fusion rules 0 .

[0050] An embodiment of the present invention will be specifically described below by taking three types of sensors and three risk levels as examples and combining with the fusion method in the content of the invention above.

[0051]Suppose a coal mine roof safety monitoring system uses three types of sensors: M 1 -Mechanized support pressure sensor, M 2 - Roof delamination instrument, M 3 - Electromagnetic radiation instrument, the target recognition framework is S={S 1 , S 2 , S 3}, respectively represent the...

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Abstract

The invention discloses a multisource information fusion method in an evidence high-conflict environment, which comprises the following steps of: determining the mutual support degree of evidences according to evidence distances, further calculating the relative discount factor of each evidence by taking a characteristic vector corresponding to the maximum characteristic value of a evidence support degree matrix pattern as a weighting vector of the evidence, wherein the evidence with the maximum weighing coefficient is a key evidence; and discounting each evidence information, and fusing the information of multisource sensor data by using the D-S (Dempster/Shafer) rule so as to increase the accuracy and precision of a monitoring proposition judgment under an evidence high-conflict status.The method can effectively eliminate the uncertainties of multisource information, increase the accuracy of information evaluation and overcome the limitation that correct evaluation results can not be acquired by using the traditional D-S evidence theory under the evidence high-conflict status, and has the advantages of simple algorithm, high convergence rate and the like.

Description

technical field [0001] The invention is an information fusion processing method for multi-source high-conflict sensor data based on evidence distance theory, and belongs to the technical field of information processing. Background technique [0002] Information fusion technology is an automatic information comprehensive processing technology developed in recent years. It processes information from different sensors to improve the quality and accuracy of information. There are many methods for data fusion, such as D-S evidence theory method, cluster analysis method, artificial neural network method, etc., and the technology related to the present invention is D-S evidence theory method. [0003] Multi-sensor information fusion can make full use of the complementary and redundant characteristics of multi-source information to improve the accuracy and precision of monitoring proposition judgment. Because sensors are affected by factors such as detection accuracy, device failur...

Claims

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Application Information

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IPC IPC(8): G06F17/00G06K9/62
Inventor 贾瑞生郑永果闫相宏孙红梅彭延军吕雪婷
Owner SHANDONG UNIV OF SCI & TECH
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