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