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[1]徐一旻,王世琪,吕伟,等.基于Soft Fuzzy ARTMAP算法的地铁隧洞光纤光栅传感火灾识别研究*[J].中国安全生产科学技术,2020,16(9):50-56.[doi:10.11731/j.issn.1673-193x.2020.09.008]
　XU Yimin,WANG Shiqi,LYU Wei,et al.Study on fire detection by FBG sensing in subway tunnel based on algorithm of Soft Fuzzy ARTMAP[J].JOURNAL OF SAFETY SCIENCE AND TECHNOLOGY,2020,16(9):50-56.[doi:10.11731/j.issn.1673-193x.2020.09.008]
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基于Soft Fuzzy ARTMAP算法的地铁隧洞光纤光栅传感火灾识别研究*
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《中国安全生产科学技术》[ISSN:1673-193X/CN:11-5335/TB]

卷:
16
期数:
2020年9期
页码:
50-56
栏目:
学术论著
出版日期:
2020-09-30

文章信息/Info

Title:
Study on fire detection by FBG sensing in subway tunnel based on algorithm of Soft Fuzzy ARTMAP
文章编号:
1673-193X(2020)-09-0050-07
作者:
徐一旻; 王世琪; 吕伟; 霍非舟; 李墨潇
（1.武汉理工大学 安全科学与应急管理学院，湖北 武汉 430070；
2.武汉理工大学 光纤传感技术国家工程实验室，湖北 武汉 430070）
Author(s):
XU Yimin;  WANG Shiqi;  LYU Wei;  HUO Feizhou;  LI Moxiao
(1.School of Safety Science and Emergency Management,Wuhan University of Technology,Wuhan Hubei 430070,China;
2.National Engineering Laboratory for Fiber Optic Sensing Technology,Wuhan University of Technology,Wuhan Hubei 430070,China)
关键词:
地下空间; 地铁安全; 火灾识别; 光纤光栅; Fuzzy ARTMAP
Keywords:
underground space;  subway safety;  fire detection;  fiber bragg grating (FBG);  Fuzzy ARTMAP
分类号:
X932
DOI:
10.11731/j.issn.1673-193x.2020.09.008
文献标志码:
A
摘要:
为解决传统火灾报警系统在应对地铁火灾报警时存在的即时性差、灵敏度及智能化水平低等问题，基于Fuzzy ARTMAP网络，结合Yu范数相似度准则与软竞争学习机制，提出1种软竞争学习Fuzzy ARTMAP算法，弥补传统Fuzzy ARTMAP网络胜者为王规则导致的区域重叠而产生误判的不足；结合地铁光纤光栅传感网络数据，将该算法应用于地铁火灾识别。结果表明：与传统的Fuzzy ARTMAP相比，该算法可快速有效地识别地铁火灾趋势，为地铁火灾识别系统研究提供理论支持。
Abstract:
In order to overcome the problems of poor instantaneity,low sensitivity and low level of intelligence when coping with the subway fire alarm by using the traditional fire alarm system,a soft competitive learning Fuzzy ARTMAP (Soft Fuzzy ARTMAP) algorithm was proposed based on the fuzzy ARTMAP network combining with the similarity criterion of Yu norm and the soft competitive learning mechanism,and it maked up the shortcoming of the traditional Fuzzy ARTMAP network that the rule of “winnertakeall” caused the area overlap,which led to the misjudge.Combined with the data of subway FBG sensing network,the algorithm was applied in the subway fire detection.The results showed that compared with the traditional Fuzzy ARTMAP,the algorithm could identify the subway fire trend quickly and effectively,and provide theoretical support for the research of subway fire detection system.

参考文献/References:

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备注/Memo

备注/Memo:
收稿日期： 2020-04-17；网络首发日期： 2020-09-11
* 基金项目： “十三五”国家重点研发计划项目（2018YFC0807000）;中国博士后科学基金项目(2018M632937);中央高校基本科研业务费项目(2019IVA075，2019III168CG)
作者简介： 徐一旻，博士，研究员，主要研究方向为重大工程公共安全监测与应急防控。
通信作者： 吕伟，博士，副教授，主要研究方向为公共安全与应急管理、交通安全。
更新日期/Last Update: 2020-10-08