基于自适应加权融合算法的大空间火灾智能识别方法  

Intelligent Fire Identification in Large Space based on Adaptive Weighted Fusion Algorithm

作　　者：刘柏良 肖彦 甘英浩 王艳敏[1] Liu Bailiang;Xiao Yan;Gan Yinghao;Wang Yanmin(School of Electrical Engineering and Automation,Harbin Institute of Technology,Harbin 150001,China;China Architecture Design&Research Group,Beijing 100037,China;Guangzhou Huali Science and Technology Vocational College,Yunfu 527300,China)

机构地区：[1]哈尔滨工业大学电气工程及自动化学院,哈尔滨150001 [2]中国建筑设计研究院有限公司,北京100037 [3]广州华立科技职业学院,云浮527300

出　　处：《智能建筑电气技术》2024年第1期6-10,21,共6页Electrical Technology of Intelligent Buildings

基　　金：国家自然科学基金(62073095,61673132);智能建筑与建筑节能安徽省重点实验室基金(IBES2021KF02)。

摘　　要：大空间消防系统需要的探测器种类多、数量大,且采集数据易受环境干扰,进而使得火灾的识别难度大,精度低。为解决这一智慧消防系统的关键问题和难题,本文提出一种基于自适应加权融合算法的智能识别算法。在此基础上,以演播厅大型空间为例,进行探测器阵列布局与防火设计,并实现对明火和阴燃类火灾的智能化识别。It is a fact the fire automation system in a large space owns a wide variety and quantity of detectors,and the collected data is susceptible to the environmental interference,which makes the fire identification difficult and low in accuracy.In order to solve the key and difficult problem,a novel intelligent fire identificat ion approach based on adaptive weighted fusion algorithm is proposed.On the basis,we take a large space in a studio as an example to realize the fire prevention,as well as to realize the intelligent identification of flame and smoldering.

关 键 词：智能消防 火灾模拟 自适应加权融合算法 大空间 火灾识别 

分 类 号：TU855[建筑科学]