Research on False Alarm Rate Reducing Strategies for Subway Train Fire Alarm System
[Objective] Given the high false alarm rate in subway train fire alarm systems, it is necessary to study strategies of effectively reducing the false alarm rate, so as to minimize operational disruptions and resource waste caused by false alarms, enhancing subway operation safety and passengers′ tra...
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| Format: | Article |
| Language: | zho |
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Urban Mass Transit Magazine Press
2025-05-01
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| Series: | Chengshi guidao jiaotong yanjiu |
| Subjects: | |
| Online Access: | https://umt1998.tongji.edu.cn/journal/paper/doi/10.16037/j.1007-869x.2025.05.047.html |
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| _version_ | 1850040279085613056 |
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| author | ZHANG Qian XU Shaohong XUE Hongquan |
| author_facet | ZHANG Qian XU Shaohong XUE Hongquan |
| author_sort | ZHANG Qian |
| collection | DOAJ |
| description | [Objective] Given the high false alarm rate in subway train fire alarm systems, it is necessary to study strategies of effectively reducing the false alarm rate, so as to minimize operational disruptions and resource waste caused by false alarms, enhancing subway operation safety and passengers′ travel experience. [Method] Through the introduction of fire alarm system and the investigation of subway train fire alarm system historical data, main types and potential causes of false fire alarms are analyzed. [Result & Conclusion] Environmental factors, detector type selection, detector detection principle, and software algorithm are identified as main causes for false fire alarms. The false alarm rate can be reduced by hardware optimization methods such as adding dust filter devices, adopting dual light source detectors, multi-parameter gas detectors and pyrolysis particle detectors; the rate can also be reduced by optimizing software algorithms (optimization modeling method, automatic adjustment of alarm thresholds, machine self-learning algorithm, etc.). Combining multi-parameters acquisition unit detection with intelligent analysis algorithms, distinguishing interference factors such as dust, water vapor, and smoke particles can also reduce the false alarm rate and improve the anti-interference ability and reliability of the fire detection system. |
| format | Article |
| id | doaj-art-d8b6cbe7c1b2450d98d5df57d72af1bd |
| institution | DOAJ |
| issn | 1007-869X |
| language | zho |
| publishDate | 2025-05-01 |
| publisher | Urban Mass Transit Magazine Press |
| record_format | Article |
| series | Chengshi guidao jiaotong yanjiu |
| spelling | doaj-art-d8b6cbe7c1b2450d98d5df57d72af1bd2025-08-20T02:56:08ZzhoUrban Mass Transit Magazine PressChengshi guidao jiaotong yanjiu1007-869X2025-05-0128527427710.16037/j.1007-869x.2025.05.047Research on False Alarm Rate Reducing Strategies for Subway Train Fire Alarm SystemZHANG Qian0XU Shaohong1XUE Hongquan2CRRC Nanjing Puzhen Vehicle Co, Ltd, 210031, Nanjing, ChinaCRRC Nanjing Puzhen Vehicle Co, Ltd, 210031, Nanjing, ChinaCRRC Nanjing Puzhen Vehicle Co, Ltd, 210031, Nanjing, China[Objective] Given the high false alarm rate in subway train fire alarm systems, it is necessary to study strategies of effectively reducing the false alarm rate, so as to minimize operational disruptions and resource waste caused by false alarms, enhancing subway operation safety and passengers′ travel experience. [Method] Through the introduction of fire alarm system and the investigation of subway train fire alarm system historical data, main types and potential causes of false fire alarms are analyzed. [Result & Conclusion] Environmental factors, detector type selection, detector detection principle, and software algorithm are identified as main causes for false fire alarms. The false alarm rate can be reduced by hardware optimization methods such as adding dust filter devices, adopting dual light source detectors, multi-parameter gas detectors and pyrolysis particle detectors; the rate can also be reduced by optimizing software algorithms (optimization modeling method, automatic adjustment of alarm thresholds, machine self-learning algorithm, etc.). Combining multi-parameters acquisition unit detection with intelligent analysis algorithms, distinguishing interference factors such as dust, water vapor, and smoke particles can also reduce the false alarm rate and improve the anti-interference ability and reliability of the fire detection system.https://umt1998.tongji.edu.cn/journal/paper/doi/10.16037/j.1007-869x.2025.05.047.htmlsubwaytrainfire alarm systemfalse alarm rate |
| spellingShingle | ZHANG Qian XU Shaohong XUE Hongquan Research on False Alarm Rate Reducing Strategies for Subway Train Fire Alarm System Chengshi guidao jiaotong yanjiu subway train fire alarm system false alarm rate |
| title | Research on False Alarm Rate Reducing Strategies for Subway Train Fire Alarm System |
| title_full | Research on False Alarm Rate Reducing Strategies for Subway Train Fire Alarm System |
| title_fullStr | Research on False Alarm Rate Reducing Strategies for Subway Train Fire Alarm System |
| title_full_unstemmed | Research on False Alarm Rate Reducing Strategies for Subway Train Fire Alarm System |
| title_short | Research on False Alarm Rate Reducing Strategies for Subway Train Fire Alarm System |
| title_sort | research on false alarm rate reducing strategies for subway train fire alarm system |
| topic | subway train fire alarm system false alarm rate |
| url | https://umt1998.tongji.edu.cn/journal/paper/doi/10.16037/j.1007-869x.2025.05.047.html |
| work_keys_str_mv | AT zhangqian researchonfalsealarmratereducingstrategiesforsubwaytrainfirealarmsystem AT xushaohong researchonfalsealarmratereducingstrategiesforsubwaytrainfirealarmsystem AT xuehongquan researchonfalsealarmratereducingstrategiesforsubwaytrainfirealarmsystem |