Research on Fire Alarm System Based on Entropy Power Method and Topsis Superiority and Inferiority Solution Distance Method

Junyan Tian, Zhi-Ting Wu, Xin Qu
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引用次数: 1

Abstract

: According to the statistics of China Fire and Rescue Bureau, in 2021, 748,000 fires were reported to the national fire and rescue teams, with 1,987 deaths, 2,225 injuries and direct property losses of 6.75 billion yuan. The loss of these innocent lives and the loss of a large amount of property make us think while deploring: is there a more effective, scientific and accurate way to prevent the great harm caused by the occurrence of fire. The fire alarm system studied in this paper can be used to reduce the hazards. Firstly, the number of real fires is given 430 times by using three indicators of fire occurrence: address, machine number and loop. After selecting the high-frequency parts in the loop, machine number and component type respectively and finding their corresponding false alarm rate and failure rate, the evaluation weights are obtained using the entropy weight method. A comprehensive evaluation model based on the entropy weight method is established to score each major component. Two most reliable components of the fire alarm system are obtained: the intelligent photoelectric probe and the manual alarm button. Next, the normalized management level of each fire brigade needs to be analyzed. First, the five important parameters of normalized average coverage rate, normalized component reliability, normalized component failure rate, normalized jurisdictional fire frequency (times/hour), and normalized false alarm rate are derived for each fire brigade. The comprehensive score index of each brigade was derived and ranked by the Topsis superiority and inferiority solution distance method, and it was concluded that M brigade, L brigade, and F brigade were the three jurisdictions with the lowest comprehensive management level.
基于熵功率法和Topsis优劣解距离法的火灾报警系统研究
:据中国消防救援局统计,2021年,全国消防救援队共接到火灾报警74.8万起,死亡1987人,受伤2225人,直接财产损失67.5亿元。这些无辜生命的丧失和大量财产的损失使我们在痛惜的同时思考:有没有一种更有效、科学、准确的方法来防止火灾的发生所造成的巨大危害?本文所研究的火灾报警系统可用于减少火灾危害。首先,通过地址、机号、循环三个火灾发生指标,给出真实火灾次数430次。分别选取回路中高频部件、机号和部件类型,求出其对应的虚警率和故障率,利用熵权法得到评价权值。建立了基于熵权法的综合评价模型,对各主要成分进行评分。得出了火灾报警系统中最可靠的两个组成部分:智能光电探头和手动报警按钮。接下来,需要分析各消防队的规范化管理水平。首先,导出了各消防队的归一化平均覆盖率、归一化部件可靠性、归一化部件故障率、归一化管辖火灾频率(次/小时)和归一化虚警率五个重要参数;采用Topsis优劣势解距离法对各旅的综合得分指数进行排序,得出M旅、L旅和F旅是综合管理水平最低的3个辖区。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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