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 ›› 2025, Vol. 44 ›› Issue (8): 1146-1151.

• • 上一篇    下一篇

公共建筑火灾探测技术应用现状及发展趋势浅析

王蔚   

  1. (国家消防救援局,北京 100097)
  • 收稿日期:2025-05-07 修回日期:2025-06-06 出版日期:2025-08-15 发布日期:2025-08-15
  • 作者简介:王 蔚,国家消防救援局应急通信和科技司高级工程师,主要从事消防科技管理工作,北京市海淀区紫竹院路118号,100010,55664157@qq.com。

A brief analysis on the current application status and development trends of fire detection technology in public buildings

Wang Wei   

  1. (National Fire and Rescue Administration, Beijing 100097, China)
  • Received:2025-05-07 Revised:2025-06-06 Online:2025-08-15 Published:2025-08-15

摘要: 随着我国经济的快速发展,公共建筑呈现出建筑高度不断攀升、体积日益庞大、功能日趋复杂的趋势,城市火灾风险不断累积和加大。现有的常规火灾探测技术手段面临建筑结构日趋复杂、应用场景特殊多样、环境干扰多重叠加等现实问题,造成火灾探测技术抗干扰能力较低、误报率高,预警不及时、不到位。本文对现有公共建筑中点型火灾探测和线型光束感烟火灾探测等常规技术,以及图像感烟火灾探测和深位缓慢发展火探测等新兴技术的适用场景、存在的问题和发展趋势进行了简要的论述,为公共建筑火灾早期预警体系建立提供参考。

关键词: 火灾探测, 点型火灾探测, 线型光束感烟, 图像火灾探测, 深位火灾探测

Abstract: With the rapid development of China's economy, public buildings have exhibited trends of increasing height, expanding volume, and growing functional complexity, leading to the accumulation and escalation of urban fire risks. Existing conventional fire detection technologies face practical challenges such as increasingly intricate building structures, diverse application scenarios, and multi-layered environmental interferences. These issues result in low anti-interference capability, high false alarm rates, delayed or inadequate early warnings, and insufficient detection accuracy. This paper briefly discusses the applicable scenarios, existing problems, and development trends of conventional technologies (e.g., point-type fire detection and linear beam smoke detection) and emerging technologies (e.g., image-based smoke detection and deep-seated slow-developing fire detection) in public buildings. It aims to provide references for establishing early warning systems for fires in public structures.

Key words: fire detection, point-type fire detection, linear beam smoke detection, image-based fire detection, deep-seated fire detection