基于多源数据融合的大型公共建筑火灾自动报警方法  

Automatic Fire Alarm Method for Large Public Buildings Based on Multi-Source Data Fusion

作　　者：李青 LI Qing(Liaoning Urban Construction Design Institute Co.,Ltd.,Fushun 113000,China)

机构地区：[1]辽宁城建设计院有限公司,辽宁抚顺113000

出　　处：《河南科技》2025年第2期34-37,共4页Henan Science and Technology

摘　　要：【目的】在大型公共建筑火灾自动报警场景中,现行报警方法所采集的信息存在滞后性且错误数据较多,导致误警率较高,无法到达预期效果。为此,提出基于多源数据融合的大型公共建筑火灾自动报警方法。【方法】首先,利用无线传感器自动感知建筑火灾温度信号与烟雾信号,并通过LoRa技术对火灾信号进行传输。其次,分析火灾数据置信度,从原始数据中提取到有效数据,采用多源数据融合算法对火灾信号融合处理,确定火灾风险系数,对识别出的火灾进行自动报警。【结果】实验证明,该方法对大型公共建筑火灾的误警率不超过1%,报警精度较高。【结论】该方法能提高大型公共建筑火灾报警的可靠性和智能化水平,有助于更好预防和遏制建筑火灾,保护人们生命和财产安全。[Purposes]In the scene of automatic fire alarm in large public buildings,because the information captured by the existing alarm methods is lagging,there are many wrong data,and the false alarm rate is high,resulting in failing to meet the expected effect.Therefore,an automatic fire alarm method for large public buildings based on multi-source data fusion is proposed.[Methods]The temperature signal and smoke signal of building fire are automatically sensed by wireless sensor,and the fire signal is transmitted by LoRa technology.After analyzing the confidence of fire data,effective data is extracted from the original data,and the fire signal is fused by multi-source data fusion algorithm to determine the fire risk coefficient and automatically alarm the identified fire.[Findings]Experiments show that the false alarm rate of this method for large public building fires does not exceed 1%,and the alarm accuracy is high.[Conclusions]The research in this paper can improve the reliability and intelligence level of fire alarm in large public buildings,which will help to better prevent and contain building fires and protect people's lives and property safety.

关 键 词：多源数据融合 大型公共建筑 火灾 自动报警 LoRa技术 无线传感器 

分 类 号：TP277[自动化与计算机技术—检测技术与自动化装置]