基于大数据技术的火灾风险智能感知预警方法

doi:10.13229/j.cnki.jdxbgxb.20211399

Abstract

Abstract:

In order to improve the effectiveness of fire risk warning， a fire risk intelligent perception warning method is proposed with the support of big data technology. Build a big data analysis platform and a fire risk intelligent perception early warning platform， and combine the two platforms to establish a fire risk early warning index system and early warning model. The fuzzy mathematics method is used to spread the single-valued samples to the fire risk points， output the warning signal vector， obtain the fire risk early warning signal， and realize the intelligent perception and early warning of the fire risk. The experimental results show that the false alarm rate of this method is low， and the false alarm rate is always lower than 6%. The actual fire occurrence times are consistent with the early warning times， which verifies its early warning effect.

Key words: computer application, big data technology, big data platform, intelligent perception early warning platform, fire risk, intelligent sensing early warning method, warning index system

CLC Number:

TP391

Wei-li ZHANG,Zhe YANG,Xiao-hai SUN,Ming LIU,Cheng-hao HAN. Fire risk intelligent perception early warning method based on big data technology[J].Journal of Jilin University(Engineering and Technology Edition), 2023, 53(11): 3253-3259.

Figures/Tables 7

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警源	警兆因子	警兆
每日平均风速/（m·s^-1）	发生火灾的可能性（Pm/t）	内在警兆（P）
每日平均湿度/%	发生火灾的可能性（Pm/t）	内在警兆（P）
每日降水量/mm	发生火灾的可能性（Pm/t）	内在警兆（P）
每日最高气温/℃	发生火灾的可能性（Pm/t）	内在警兆（P）
人口密度/（人·km^-2）	人口因子（Po）	外生警兆（Dg）
脆弱人口/人	人口因子（Po）	外生警兆（Dg）
防火人员数量/人	防灾能力因子（R）	外生警兆（Dg）
防火物资/万元	防灾能力因子（R）	外生警兆（Dg）
公路网密度/km2	防灾能力因子（R）	外生警兆（Dg）
水体面积/km2	防灾能力因子（R）	外生警兆（Dg）

Fire risk intelligent perception early warning method based on big data technology

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