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Review of fire safety risk monitoring technology for tunnel and cavern groups in pumped storage power stations
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Wenlong Wang1, Yueqin Zhu1, Aichun Liu1, Jiaqing Zhang2, Chang Liu3
Fire Science and Technology | 2026, 45(8) : 30 - 40
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Fire Science and Technology | 2026, 45(8): 30-40
• Building fire protection design •
Review of fire safety risk monitoring technology for tunnel and cavern groups in pumped storage power stations
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Wenlong Wang1, Yueqin Zhu1, Aichun Liu1, Jiaqing Zhang2, Chang Liu3
Affiliations
  • 1National Institute of Natural Hazards, Ministry of Emergency Management of China , Beijing 100085 , China
  • 2State Grid Anhui Electric Power Research Institute, Anhui Province Key Laboratory of Electric Fire and Safety Protection , Hefei Anhui 230601 , China
  • 3State Grid Electric Power Engineering Research Institute Co., Ltd. , Beijing 100053 , China
Published: 2026-07-15 doi: 10.20168/j.1009-0029.2026.08.0030.11
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Fire safety risk monitoring of tunnel and cavern groups is crucial to ensure the construction and safe operation of underground transportation, energy, and power facilities. This study systematically reviews the research progress of combustion characteristics, monitoring technologies, and intelligent prevention and control systems for fires in tunnel and cavern groups, which located at the pumped storage power stations. By analyzing typical fire cases, the characteristics of tunnel fires are summarized, which includes the strong concealment, the high toxicity of smoke, and the difficulty in evacuation and rescue. In the meantime, the principles and application scenarios of single-parameter fire detection technologies are also sorted, which includes the gas detection, the smoke detection, the flame detection, the temperature detection, and the video detection respectively. The problems existed in the sensors for single fire parameter are pointed out, which includes the high false and missed alarm rates and low data fusion efficiency in complex scenarios, and the multi-sensor networking communication technologies and information fusion algorithms are also discussed, which is conducive to improving monitoring accuracy and anti-interference ability. In the future, it is urgent to build an integrated intelligent monitoring system of "perception-decision-control" by combining digital twin and artificial intelligence technologies, promoting the transformation of tunnel fire monitoring from "passive early warning" to "active prevention and control", so as to provide theoretical support and technical guarantee for the safe operation and maintenance of underground spaces.

tunnel and cavern groups  /  fire monitoring  /  communication networking  /  information fusion  /  intelligent prevention and control
王文龙, 朱月琴, 刘爱春, 张佳庆, 刘畅. 面向抽蓄电站的隧道洞室群火灾安全风险监测技术综述. 消防科学与技术, 2026 , 45 (8) : 30 -40 . DOI: 10.20168/j.1009-0029.2026.08.0030.11
Wenlong Wang, Yueqin Zhu, Aichun Liu, Jiaqing Zhang, Chang Liu. Review of fire safety risk monitoring technology for tunnel and cavern groups in pumped storage power stations[J]. Fire Science and Technology, 2026 , 45 (8) : 30 -40 . DOI: 10.20168/j.1009-0029.2026.08.0030.11
Year 2026 volume 45 Issue 8
416
205
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Article Info
doi: 10.20168/j.1009-0029.2026.08.0030.11
  • Receive Date:2025-07-30
  • Online Date:2026-09-16
  • Published:2026-07-15
Article Data
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History
  • Received:2025-07-30
  • Revised:2026-02-09
Affiliations
    1National Institute of Natural Hazards, Ministry of Emergency Management of China , Beijing 100085 , China
    2State Grid Anhui Electric Power Research Institute, Anhui Province Key Laboratory of Electric Fire and Safety Protection , Hefei Anhui 230601 , China
    3State Grid Electric Power Engineering Research Institute Co., Ltd. , Beijing 100053 , China
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表12种不同金属材料的力学参数
科
Family
属数
Number of
genus
种数
Number of
species
占总种数比例
Percentage of
total species (%)
属
Genus
种数
Number of
species
占总种数比例
Percentage of total
species (%)
鹅膏菌科Amanitaceae 2 11 5.26 鹅膏菌属 Amanita 10 4.78
小菇科 Mycenaceae 2 12 5.74 丝盖伞属 Inocybe 5 2.39
多孔菌科 Polyporaceae 8 14 6.70 蜡蘑属 Laccaria 5 2.39
红菇科 Russulaceae 3 23 11.00 小皮伞属 Marasmius 6 2.87
小菇属 Mycena 11 5.26
光柄菇属 Pluteus 5 2.39
红菇属 Russula 17 8.13
栓菌属 Trametes 5 2.39
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