天津科技 ›› 2025, Vol. 52 ›› Issue (10): 15-19.

• 基础研究 • 上一篇    下一篇

铁路数据中心电气火灾监控优化研究

王日新1, 王鹏1, 王盼盼2, 卢宗旭3, 万光英1   

  1. 1.中铁信大数据科技有限公司 天津 301700;
    2.中铁电气化局集团有限公司城铁公司 北京 100036;
    3.石家庄铁道大学四方学院 河北石家庄 051132
  • 收稿日期:2025-09-04 出版日期:2025-10-25 发布日期:2026-01-06
  • 基金资助:
    中国国家铁路集团有限公司科技研究开发计划“中国铁路主数据中心融合多参量信息的电气火灾早期防控关键技术研究”(Q2024S006)

Research on optimization of electrical fire monitoring in railway data center

WANG Rixin1, WANG Peng1, WANG Panpan2, LU Zongxu3, WAN Guangying1   

  1. 1. CRITC Big Data Technology Co.,Ltd.,Tianjin 301700,China;
    2. Urban Rail Company,China Railway Electrification Engineering Group Co.,Ltd.,Beijing 100036,China;
    3. Sifang College,Shijiazhuang Tiedao University,Shijiazhuang 051132,China
  • Received:2025-09-04 Online:2025-10-25 Published:2026-01-06

摘要: 随着铁路信息化建设的深入,铁路数据中心作为关键基础设施,保障其电气安全的重要性凸显。针对铁路数据中心电气火灾监控系统频繁报警问题,通过现场数据分类、聚类统计,确定电气火灾监控系统频繁报警的原因,分析各因素占比,提出基于规范的设备阈值分级、监控点位优化与屏蔽机房滤波方案改进、施工质量管控与运维体系升级、智能数据分析与频繁报警过滤等优化策略,并通过工程实践验证其有效性,为铁路数据中心电气安全管理提供理论与实践参考。

关键词: 数据中心, 电气火灾监控, 系统优化, 剩余电流, 误报警

Abstract: With the deepening of the informatization construction of railways,the data center,as a key infrastructure,requires vital electrical safety assurance. This paper addresses the frequent alarm issues of the electrical fire monitoring system in railway data centers. Through classification and clustering statistics of on-site data,the causes of frequent alarms in the electrical fire monitoring system are identified,and the proportion of each factor is analyzed. Optimized strategies are proposed,including specification-based hierarchical setting of equipment thresholds,optimization of monitoring points and improvement of shielded room filtering schemes,quality control in construction and upgrading of the operation and maintenance system,as well as intelligent data analysis and filtering of frequent alarms. The effectiveness of these strategies is validated through engineering practices,providing both theoretical and practical references for electrical safety management in railway data centers.

Key words: data center, electrical fire monitoring, system optimization, residual current, false alarms

中图分类号: