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 ›› 2026, Vol. 45 ›› Issue (4): 154-161.

• • 上一篇    下一篇

无人值守变电站新型火灾监测预警技术研究

缑 磊   

  1. (国网廊坊供电公司,河北 廊坊 065000)
  • 收稿日期:2025-12-02 修回日期:2026-03-26 出版日期:2026-04-15 发布日期:2026-04-15
  • 作者简介:缑磊,国网廊坊供电公司高级工程师,主要从事变电站消防设备、设施维护、消防应急能力提升工作,河北省廊坊市广阳区裕华路286号,065000,734413000@qq.com。

Research on new fire monitoring and early warning technology for unattended substations

Gou Lei   

  1. (State Grid Langfang Power Supply Company, Langfang Hebei 065000, China)
  • Received:2025-12-02 Revised:2026-03-26 Online:2026-04-15 Published:2026-04-15

摘要: 针对无人值守变电站传统消防设施无法适配“无现场人员处置、远程响应时间长”的场景需求,难以实现火灾极早期预警与闭环管控的核心问题,本文采用同步热分析‒傅里叶红外联用(STA-FTIR)技术,对变电站常用ZR-YJLV电缆外护套与绝缘层、PVC护套、N-BV护套4类典型电缆材料开展热解特性试验,明确了30~350 oC关键温度区间内材料的热失重规律,以及H2O、CO2、HCl等特征气体与热解粒子的释放特性,建立了“温度-气体-热解粒子”的极早期特征关联依据。基于试验成果,设计了“感知-传输-处理-应用”4层架构的极早期火灾探测系统,核心采用基于云雾室原理与光学分析技术的热解粒子探测器,融合AI视觉摄像头、热成像摄像头等多源感知设备,构建了云-边-端协同的智能决策体系,通过物联网平台实现数据云端存储与智能分析,可实现与变电站门禁、视频监控、风机控制系统的智能联动。经河北省5座110 kV/220 kV无人值守变电站长期运行验证,系统误报率低于0.5%,累计成功预警30余起电气设备过热隐患,有效保障了无人值守变电站的安全稳定运行。

关键词: 无人值守变电站, 云雾室, 热解粒子探测器, 智能联动, 智慧消防管理

Abstract: To address the key problems that the traditional fire-fighting facilities of unattended substations cannot adapt to the scenario requirements of no on-site personnel disposal and long remote response time, and it is difficult to realize ultra-early fire warning and closed-loop management, in this paper, the simultaneous thermal analysis‒Fourier transform infrared spectroscopy (STA-FTIR) technology is used to carry out pyrolysis characteristic experiments on four types of typical cable materials commonly used in substations, including ZR-YJLV cable outer sheath and insulation layer, PVC sheath, and N-BV sheath. The thermogravimetric law of materials in the critical temperature range of 30 ℃ to 350 ℃, as well as the release characteristics of characteristic gases such as H2O, CO2, HCl and pyrolysis particles are clarified, and the ultra-early characteristic correlation basis of "temperature‒gas‒pyrolysis particles" is established. Based on the experimental results, an ultra-early fire detection system with a four-layer architecture of "perception‒transmission‒processing‒application" is designed. The core of the system is a pyrolysis particle detector based on cloud chamber principle and optical analysis techno⁃ logy, which integrates multi-source perception devices such as AI vision camera and thermal imaging camera, and constructs an intelligent decision-making system based on cloud‒edge‒end collaboration. Through the Internet of Things platform, the system realizes cloud storage and intelligent analysis of data, and can realize intelligent linkage with substation access control, video surveillance and fan control system. Verified by long-term operation at 5 unattended 110 kV/220 kV substations in Hebei Province, the false alarm rate of the system is less than 0.5%, and more than 30 overheating hazards of electrical equipment have been successfully warned, which effectively ensures the safe and stable operation of unattended substations.

Key words: unattended substation, cloud chamber, pyrolysis particle detector, intelligent linkage, intelligent fire management