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基于复合热烟传感信息的受限空间火源定位方法

1761    2023-06-27

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作者:薛永端1, 蔡卓远1, 杨帆2, 宿磊2, 沈煜2

作者单位:1. 中国石油大学(华东)新能源学院, 山东 青岛 266580;
2. 国网湖北省电力有限公司电力科学研究院, 湖北 武汉 430077


关键词:火源点定位;受限空间;热烟传感信息;定位精度


摘要:

火源点定位对实现针对性灭火、成因鉴定及人员疏散具有重要意义。为解决室内受限空间火源精确定位困难的问题,根据火灾初期热烟气流的流动特点,推导出利用火灾热烟气流扩散模型的受限空间火源定位方法。将传感单元阵列所采集热烟传感信息进行相对变率关联度分析,以确定传感器之间的信号时延。通过几何关系确定传感器单元与火源点之间的方位角,再利用角度定位原理得到一次火源点定位结果。最后根据利用不同时间段内信息得到的火源定位结果,基于动态聚类思想选取定位估计区域,将区域中心点作为火源综合定位结果输出。仿真测试分析显示火源定位精度较好,验证所提方法的可行性。


Fire source location method in limited space based on compound hot smoke sensing information
XUE Yongduan1, CAI Zhuoyuan1, YANG Fan2, SU Lei2, SHEN Yu2
1. College of New Energy in China University of Petroleum, Qingdao 266580, China;
2. Electric Power Research Institute of State Grid Hubei Electric Power Co., Ltd., Wuhan 430077, China
Abstract: Fire source location is important for the realization of targeted fire extinguishing, cause identification and personnel evacuation. To solve the problem that it is difficult to accurately locate the fire source in limited space, based on the flow characteristics of the hot smoke air flow at the beginning of the fire, a method for locating the fire source in limited space is deduced. The relative variability correlation analysis is performed on the hot smoke sensing information to determine the delay signal between the sensors. Through the position relationship, the azimuth angle between the sensor unit and the fire source point is calculated to get a fire source point positioning result. Using the results from the information in different time periods, the location estimation area is obtained according to the idea of dynamic clustering, and the center point of area is the comprehensive output result of fire source location. Simulation testing analysis shows that the fire source location accuracy is better, verifying the feasibility of the proposed method.
Keywords: fire source location;limited space;hot smoke sensing information;location accuracy
2023, 49(6):1-7  收稿日期: 2021-09-19;收到修改稿日期: 2021-11-04
基金项目: 国家自然科学基金资助项目(52077221);国网湖北省电力有限公司科技项目资助(52153220001V)
作者简介: 薛永端(1970-),男,山西芮城县人,教授,博士生导师,博士,主要从事电气火灾安全防护、配电网自动化等方面研究工作
参考文献
[1] BOGUE R. Sensors for fire detection[J]. Sensor Review, 2013, 33(2): 99-103
[2] 国家统计局. 中国统计年鉴[M]. 北京: 中国统计出版社, 2020.
[3] 毛颖, 王慧琴, 卢英, 等. 大空间建筑火源的精确定位方法[J]. 计算机应用与软件, 2016, 33(2): 169-172
[4] WANG D. Real-time fire detection and location algorithm based on stereo matching[C]//Proceedings of 2018 3rd International Conference on Industrial Electronics and Applications. 2018, 7: 117-123.
[5] KOUL Y, WANG X Z, GUO X J, et al. Deep learning based inverse model for building fire source location and intensity estimation[J]. Fire Safety Journal, 2021, 121: 103310
[6] WANG S, MARTIN B, THOMAS K. Signal processing algorithms for fire localization using temperature sensor arrays[J]. Fire Safety Journal, 2005, 40: 689-697
[7] MUHAMMAD K, AHMAD K, BAIK S W. Early fire detection using convolutional neural networks during surveillance for effective disaster management[J]. Neurocomputing, 2018, 288: 30-42
[8] 李正周, 繆鹏飞, 刘勇, 等. 基于无线传感器网络的大型场所火情检测与定位算法[J]. 数据采集与处理, 2014, 29(6): 964-969
[9] 邓力, 刘全义, 贺元骅, 等. 受限空间火灾探测数据融合算法研究[J]. 消防科学与技术, 2021, 40(2): 164-168
[10] ANSHUL G, ABHISHEK S, ASHOK K, et al. Fire Sensing Technologies: A Review[J]. IEEE Sensors Journal, 2019, 19: 3191-3202
[11] 于恒. 基于火灾动力学与人群疏散模拟的地铁车站火灾安全疏散问题研究[D]. 广州: 华南理工大学, 2020.
[12] 刘子健. 基于高斯分布的火灾烟雾扩散模型[J]. 消防科学与技术, 2014, 33(10): 1205-1207
[13] WU L S, LEI H, HUANG D Y, et al. Smoke detection algorithm based on Gaussian mixture motion detection model and multiple features[J]. Automation and Information Engineering, 2014, 35(2): 1-5
[14] 沈培璐, 汪朝海, 钱源来, 等. 基于特征的时间序列信号表示方法[J]. 中国测试, 2020, 46(5): 13-18
[15] 蒋晓刚, 苑志江, 郑智林, 等. 排烟机功率对船舶舱室烟气特性影响的仿真实验研究[J]. 中国测试, 2019, 45(2): 42-47