建筑火灾探测的行业标准做法已经确立，但对铁路隧道等特定基础设施缺乏了解和经验。在六个月的时间里进行了一系列现场测试，以确定几种火灾探测技术的优缺点，包括线性热探测器、吸气式烟雾探测器和红外辐射探测器。每个系统都安装在一条运行中的铁路隧道中，并根据其在不同火灾/烟雾、气流和隧道运行条件下的相对性能进行评估。目的是了解哪种当前技术最适合铁路隧道环境、维护要求、干扰报警灵敏度和最佳设定点。快速检测此类火灾至关重要，因此在确认后，应急通风系统可以迅速启动，以便有效控制烟雾，并协助急救人员操作。 在测试火灾期间，记录了不同设备的探测能力、报警时间和测试条件。采集了隧道气流、温度、湿度和视频图像。在正常列车运行条件下进行了六个月的测试，没有对隧道内的检测设备进行维护。收集并分析了有害报警条件和对不同气流条件（列车活塞效应、维护通风等）的恢复力的数据。事实证明，火灾报警设定点对于及时可靠地进行火灾探测和预防有害报警至关重要，并且可能不同于其他环境中使用的标准设定点。引文:2021篇虚拟会议论文

Industry standard practices for fire detection are well established for buildings but there is a lack of understanding and experience for specific infrastructure such as railway tunnels. A series of live tests have been conducted over a six month period to identify the strengths and weaknesses of several fire detection technologies including linear heat detectors, aspirating smoke detectors, and infrared radiation detectors. Each system was installed in an active railway tunnel and evaluated based on its relative performance under different scenarios of fire/smoke, airflow and tunnel operation conditions.The objective was to understand which current technology is best suited for the rail tunnel environment, what are the maintenance requirements, nuisance alarm sensitivity and optimal setpoints. Quick detection of such fires is of vital importance so the emergency ventilation systems can be promptly activated after confirmation allowing for effective smoke control and assist with first responders operation.During the test fires, the detection abilities of different devices, alarm time, and test conditions were recorded. Tunnel airflows, temperatures, humidity, and video images were captured. Testing during normal train operating conditions were conducted for six months without maintenance of detection equipment in the tunnel. Data was collected and analysed for nuisance alarm conditions and resilience to different airflow conditions (train piston effect, maintenance ventilation, etc.).It was demonstrated that fire alarm setpoints are critically important for timely and reliable fire detection and prevention of nuisance alarms, and may differ from standard setpoints used in other environments.