Combination method based on evidence under new evidence judgment standard

Abstract

The invention discloses a combination method based on evidence under a new evidence judgment standard. Through the method, the problems that in the prior art, evidence allocation is unreasonable, anda combination result goes against an actual result are solved. The method comprises the steps that 1, sensors are deployed, wherein sensor groups composed of multiple types of sensors are installed atcorners of a room, and the multiple types of sensors include temperature sensors, humidity sensors, smoke concentration sensors, carbon dioxide concentration sensors and infrared sensors; 2, a new evidence conflict judgment standard Pcor is confirmed, wherein evidence is determined according to data collected by the sensors, and the conflict degree among all the evidence is analyzed according tothe evidence; 3, weight coefficients of all the evidence are determined, wherein a support matrix is constructed according to conflict judgment standard Pcor values of all the evidence, trust degreesare confirmed according to the support matrix, and finally the trust degrees are used to confirm the weight coefficients of all the evidence; and 4, the evidence is combined, wherein basic probabilityassignment vectors are adjusted according to the weight coefficients, and combination is performed according to the DS evidence theory to obtain a more reasonable conclusion.

Description

technical field [0001] The invention relates to a method belonging to the field of multi-sensor information fusion, more precisely, the invention relates to a combination method of evidence based on a new evidence measurement standard. Background technique [0002] Multi-sensor information fusion technology is to optimize and comprehensively process the data provided by each sensor, so as to achieve a more accurate and reliable judgment of the observation target. Due to the increasing and complex measurement data of the monitoring system, the data provided by only one sensor cannot meet the reliability requirements. In addition, the monitoring work is sometimes carried out in a harsh environment, and the sensor may not work properly. . Therefore, people naturally think of using multiple sensors to monitor different physical quantities, such as using temperature sensors to monitor temperature changes, and vibration sensors to monitor vibrations. Then how to combine the data ...

AI Technical Summary

Problems solved by technology

[0007] The technical problem to be solved by the present invention is to overcome the unreasonable distribution of evidence in the DS evidence combination and the conflict between the fusion result and the factual result of the DS evidence theory when merging high-conflict evidence, and provide a new evidence measurement standard based on Combined Approach to Evidence

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