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The method of judging fire based on ds evidence theory

A technology of evidence theory and fire, which is applied to fire alarms, instruments, alarms, etc., can solve problems such as complex personnel activities, interference, and data conflicts, and achieve the effect of reasonable and efficient algorithms and reduced time required

Inactive Publication Date: 2015-11-18
TAIYUAN UNIV OF TECH
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, due to the variability and uncertainty of the fire scene, as well as the variety of fire scene environments, complex personnel activities, and unpredictable behavior (such as smoking, etc.), it will bring certain interference and noise to the above-mentioned features.
It may even provide wrong information, causing data conflicts, making it impossible to effectively integrate and give accurate results

Method used

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Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0013] The value obtained by the temperature sensor supports the probability of fire occurrence as: , , the smoke sensor obtains a numerical value to support the probability of fire occurrence as: , , the CO sensor obtains numerical support for the probability of fire occurrence: , ;

[0014] The probability of fire occurrence after the fusion of temperature sensor and smoke sensor is:

[0015] , ,

[0016] After being fused with the CO sensor, the numerical support for the fire occurrence probability is obtained as

[0017] , ,

[0018] In fact, there is no fire, and the fusion result shows that the probability of no fire is 0.6919.

Embodiment 2

[0020] The value obtained by the temperature sensor supports the probability of fire occurrence as: , , the smoke sensor obtains a numerical value to support the probability of fire occurrence as: , , the CO sensor obtains numerical support for the probability of fire occurrence: , ;

[0021] The probability of fire occurrence after the fusion of temperature sensor and smoke sensor is:

[0022] , ,

[0023] After being fused with the CO sensor, the numerical support for the fire occurrence probability is obtained as

[0024] , ,

[0025] There is actually a fire, and the fusion result shows that the probability of a fire is 0.7237.

Embodiment 3

[0027] The value obtained by the temperature sensor supports the probability of fire occurrence as: , , the smoke sensor obtains a numerical value to support the probability of fire occurrence as: , , the CO sensor obtains numerical support for the probability of fire occurrence: , ;

[0028] The probability of fire occurrence after the fusion of temperature sensor and smoke sensor is:

[0029] , ,

[0030] After being fused with the CO sensor, the numerical support for the fire occurrence probability is obtained as

[0031] , ,

[0032] In fact, there is a fire, and the fusion result shows that the probability of fire is 0.75. Even when there is a high degree of conflict, an accurate fusion result is still obtained, which is consistent with the actual situation.

[0033] According to Examples 1 and 2, it can be seen that under normal conditions, the fire sensor obtains a decision-making result consistent with the actual situation. According to Example 3,...

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PUM

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Abstract

The invention relates to the field of fire defense, and in particular to a method for judging whether a fire occurs or not by fusing the values of a plurality of sensors. According to a method for judging fire based on a DS evidence theory, fire sensors convey the received information to a data processing centre to process, so as to obtain a judgement about whether a fire occurs or not, the data processing centre determines an identification frame for a security situation according to whether the fire occurs or not, and expressing the identification frame as FORMULA, s1 represents that the fire occurs and s2 represents that the fire does not occur, for the same identification frame, m is an elementary probability assignment function generated by that the corresponding values of the fire sensors support a fire occurrence probability, and the data processing centre carries out fusion calculation on the plurality of fire sensors to obtain an accurate judgement. According to a method for judging fire based on the DS evidence theory, for the evidences obtained by the sensors, the conflict evidences are reasonably and efficiently fused by a simple algorithm to obtain a correct decision result; meanwhile, the time needed by data fusion is greatly reduced.

Description

technical field [0001] The invention relates to the field of fire defense, in particular to a method for judging whether a fire occurs by using a plurality of sensor values ​​for fusion. Background technique [0002] At present, my country's economic construction is developing rapidly, social life is constantly improving, and the whole society is becoming more and more urbanized. The direct impact is that the scale of buildings is continuously expanding, various places are more concentrated, and the population density is gradually increasing, thereby increasing the The severity of the fire hazard. Therefore, the whole society is paying more and more attention to the prevention and rescue of fires. As an important means of early detection, the fire detection and alarm system has an increasing demand and wider application. People have higher and higher requirements for the adaptability and reliability of the fire detection and alarm system. [0003] In order to detect the fir...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G08B17/00
Inventor 白静王力张怡然
Owner TAIYUAN UNIV OF TECH
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