Fuzzy set based intelligent evidence theory inspection information fusion method

A technology of intelligent inspection and evidence theory, applied in character and pattern recognition, instruments, computer components, etc., can solve problems such as low accuracy, large information fusion error, and subjective data source, so as to avoid absolute and subjective The effects of optimization, high precision and reliability

Inactive Publication Date: 2017-05-31
ELECTRIC POWER SCI RES INST OF GUIZHOU POWER GRID CO LTD +1
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Problems solved by technology

[0005] The technical problem to be solved by the present invention is to provide a fuzzy set-based evidence theory intelligent inspection information fusion method to solve the problem of fusion of sensor information of the intelligent inspection system in the prior art, where the data source is relatively subjective and has no objective response The reliability of each sensor and the relationship between each sensor lead to technical problems such as large error and low accuracy in the final information fusion

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  • Fuzzy set based intelligent evidence theory inspection information fusion method
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  • Fuzzy set based intelligent evidence theory inspection information fusion method

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Embodiment Construction

[0043] Now the present invention is described further, and concrete steps of the present invention are as follows (see figure 1 with figure 2 ):

[0044] Step 1. The intelligent inspection robot collects multi-sensor information;

[0045]Step 2. Use the fuzzy correlation function to calculate the mutual support degree of multiple sensors, calculate the fuzzy membership degree of the data obtained by each sensor according to the measurement data, and use the membership degree to represent the credibility of the information provided by each sensor, as follows:

[0046] Correlation function: Let multiple sensors measure the same parameter, and the data measured by the i-th sensor and the j-th sensor are respectively X i and X j , and all obey the Gaussian distribution, take its pdf (probability distribution function) curve as the characteristic function of the sensor, denoted as p i (x) and p j (x), x i and x j Respectively X i and X j An observation value of .

[0047...

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Abstract

The invention discloses a fuzzy set based intelligent evidence theory inspection information fusion method. The method includes the steps of 1), collecting sensor information acquired from a robot in intelligent inspection; 2), calculating mutual support degrees of multiple sensors by the aid of fuzzy correlation function; 3), calculating fuzzy membership degrees of the sensors according to measurement data of the sensors and representing credibility of information provided by the sensors with the membership degrees; 4), converting support degrees and credibility of the sensors into basic probability assignments namely mass functions; 5), performing fusion on the information of the sensors by the aid of a D-S theoretical synthesis rule. With the method, technical problems that data sources in fusion of the information of the sensors of the intelligent inspection system in the prior are subjective, credibility of the sensors and mutual relation among the sensors are not objectively reflected resulting in large error in information fusion, low accuracy and the like are solved.

Description

technical field [0001] The invention belongs to the technical field of intelligent patrol inspection, and in particular relates to a fuzzy set-based evidence theory intelligent patrol information fusion method. Background technique [0002] In the field of substation intelligent inspection, there is a problem of information fusion. The intelligent inspection robot has collected information from multiple sensors, and the intelligent inspection system needs to fuse these information to obtain useful and reliable information. [0003] Multi-sensor information fusion technology is to analyze and synthesize data information from different sensors (information sources) to produce a unified best estimate of the measured object, so that the information can be compared in terms of accuracy, reliability and completeness. Any one of the single sensors has been significantly improved. Since the information provided by the sensors has a certain degree of uncertainty, the information fusi...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/62
CPCG06F18/25
Inventor 高吉普徐长宝杨华罗显跃辛明勇张历鲁彩江孟令雯龙征戴宇赵立进
Owner ELECTRIC POWER SCI RES INST OF GUIZHOU POWER GRID CO LTD
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