Combination method based on evidence under new evidence judgment standard

A technology of measurement standards and combination methods, applied in the field of multi-sensor information fusion, can solve the problems of unreasonable evidence distribution, fusion results and factual results, and achieve the effect of reasonable distribution

Inactive Publication Date: 2018-11-23
JILIN UNIV
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  • Abstract
  • Description
  • Claims
  • Application Information

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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 f

Method used

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  • Combination method based on evidence under new evidence judgment standard
  • Combination method based on evidence under new evidence judgment standard
  • Combination method based on evidence under new evidence judgment standard

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Experimental program
Comparison scheme
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Embodiment

[0092] 1. Deployment of sensors

[0093] Install a sensor group consisting of temperature sensor, humidity sensor, smoke concentration sensor, carbon monoxide concentration sensor and infrared sensor in the corner of a room;

[0094] The sensor group uploads the collected data to the control layer through the ZigBee network, and the ZigBee coordinator in the control layer sends the data in the sensor group to the main control board STM32F103. processing, and then carry out evidence combination; preprocessing first organizes the data transmitted by each type of sensor into a fire identification framework Θ={A=no fire, B=fire, C=uncertain} based on empirical data, and each type of sensor The collected data will eventually be processed into the probability of occurrence of elements within the fire identification framework;

[0095] Temperature sensor: m 1 (A) = 0.5, m 1 (B)=0.2, m 1 (C)=0.3;

[0096] Smoke density sensor: m 2 (A) = 0.0, m 2 (B) = 0.8, m 2 (C)=0.2;

[009...

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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 ...

Claims

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Application Information

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IPC IPC(8): G06K9/62H04W4/38
CPCH04W4/38G06F18/25
Inventor 杨晓萍廉伟健李孟杰李娟陈雪莹李莉
Owner JILIN UNIV
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