Experimental Study on Early Fire Smoke Characteristics in a High-Volume Space: A Fire Detection Perspective

Author:

Wang Li123,Zhang Xi123,Li Liming123,Li Boning123,Mei Zhibin123

Affiliation:

1. Shenyang Fire Science and Technology Research Institute of MEM, Shenyang 110034, China

2. National Engineering Research Center of Fire and Emergency Rescue, Shenyang 110034, China

3. Liaoning Province Key Laboratory of Fire Prevention Technology, Shenyang 110034, China

Abstract

High-volume space structures are characterized by high combustible loads, rapid fire development, difficulty in firefighting, and potential building collapse risks, making early fire detection particularly crucial. The effectiveness of early fire detection technologies relies on their ability to adapt to the characteristics of smoke-dominant combustion products in the protected space. However, there is a lack of targeted research on the characteristics of the smoke generated during the early low-power stages of fires in high-volume spaces, which has not supported the development of early fire detection technologies for such environments. To address this, this paper presents an experimental study that, for the first time, collects data on fire smoke parameters such as temperature, velocity, concentration, and particle size at heights ranging from 6.5 m to 18.5 m using lightweight sensors. The study analyzes the characteristic and correlations of these parameters and their impact on early fire detection in high-volume spaces for the first time, presenting variation patterns in the plume velocity and particle size distribution of early fire smoke with height. It identifies three patterns of particle size distribution, contrasting with previous studies, and offers a qualitative explanation for these findings. This research enhances the understanding of early fire smoke signals in large spaces and offers valuable insights for developing more accurate and efficient fire detection strategies and technologies.

Funder

National Key R&D Program of China

Fundamental Research Funds for Central Non-profit Scientific Institution

Publisher

MDPI AG

Reference52 articles.

1. Case Analysis of Firefighting in Long-Span and Large-Space Factory Buildings;Yang;China Emerg. Rescue,2021

2. A Study on Firefighting Strategies in Fire Accidents of Large-Span Buildings;Zhang;J. China People’s Police Univ.,2016

3. Comparative Analysis on Fire Detection System for Depot of Urban Rail Transit;Liu;Fire Saf. Sci.,2019

4. Chagger, R. (2015). Live Investigations of False Fire Alarms, Building Research Establishment.

5. Chagger, R. (2018). The Performance of Multi-Sensors in Fire and False Alarm Tests, Building Research Establishment.

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3