主管：中华人民共和国应急管理部
主办：应急管理部天津消防研究所
ISSN 1009-0029  CN 12-1311/TU
消防科学与技术

消防科学与技术 ›› 2022, Vol. 41 ›› Issue (8): 1110-1114.

• • 上一篇    下一篇

基于Wi-Fi探针的火灾人员被动定位系统设计

刘洪永1,2,3，颜 晗1,2,3，宋 霏1,2,3，罗劭翔1,2,3   

  1. （1. 中国矿业大学 安全工程学院，江苏 徐州 221116；2.中国矿业大学 江苏省城市地下空间火灾防护重点实验室，江苏 徐州 221116；3.中国矿业大学 煤矿瓦斯与火灾防治教育部重点实验室，江苏 徐州 221116）
  • 出版日期:2022-08-15 发布日期:2022-08-15
  • 作者简介:作者简介：刘洪永（1982—），男，山东潍坊人，中国矿业大学安全工程学院消防工程教学研究中心副主任，副教授，博士，主要从事电气防火与应急救援相关领域的教学科研工作，江苏省徐州市大学路1号中国矿业大学南湖校区矿科学学中心A526-2，221116。
  • 基金资助:
    中央高校基本科研业务费专项资金资助项目（2020ZDPYMS13）

Design of fire personnel passive location system based on Wi-Fi probe

LIU Hong-yong1,2,3, YAN Han1,2,3, SONG Fei1,2,3, LUO Shao-xiang1,2,3   

  1. (1. School of Safety Engineering, China University of Mining and Technology, Jiangsu Xuzhou 221116, China; 2. Jiangsu Key Laboratory of Fire Safety in Urban Underground Space, China University of Mining and Technology, Jiangsu Xuzhou 221116, China; 3. Key Laboratory of Gas and Fire Control for Coal Mines, China University of Mining and Technology, Jiangsu Xuzhou 221116, China)
  • Online:2022-08-15 Published:2022-08-15

摘要： 当商场等公共区域发生火灾时，室内人员难以确定自身位置，错误判断火灾形势，造成安全疏散困难，而传统疏散示意图等标识手段仅能提供一般性意见，无法显示危险区域，安全疏散适用性较低。针对此情况，提出了基于Wi-Fi探针的火灾人员被动定位系统，系统使用Wi-Fi探针并采用被动定位方式进行区域人员定位，该系统可以生成区域人员分布热力图并标记火灾危险区域，提出WCS-KNN定位算法。结果表明：WCS-KNN算法比其他算法的定位精度最高提高了23.46%，运行时间最高缩短了10.75%，火灾人员被动定位系统能在火灾发生时确定人员分布及火灾危险区域并利用广播、区域智能疏散显示屏等手段引导人员安全疏散，并可在火灾中持续工作，该系统相较于传统疏散手段具有更好的适用性。

关键词: 公共安全, Wi-Fi探针, 被动定位, 安全疏散

Abstract: When a fire occurs in public areas such as shopping malls, it's difficult for indoor personnel to determine their own location, and they will easily misjudge the fire situation, resulting in difficulty in safe evacuation. However, traditional identification means such as evacuation schematic diagram can only provide general advice, but cannot show dangerous areas, and the applicability of safe evacuation is low. In view of this situation, this paper proposes a passive positioning system for indoor personnel based on Wi-Fi probe, which uses Wi-Fi probe and passive positioning method to locate people in the area, it can generate the thermal map of regional personnel distribution and mark the fire danger area. This paper also puts forward the WCS-KNN positioning algorithm. The results show that the positioning accuracy of WCS-KNN algorithm is improved by 23.46% and the running time is shortened by 10.75% compared with other algorithms. The passive positioning system of fire personnel can determine the personnel distribution and the fire danger area when the fire occurs, and guide the personnel to evacuate safely by means of broadcasting and intelligent evacuation display screen, and can continue to work in the fire. The system has better applicability compared with the traditional evacuation means.

Key words: public safety, Wi-Fi probe, passive positioning, safe evacuation