Deformation Monitoring Technology and Early Warning Management for Large-Scale Railway Adjacent Operating Lines

This study employs deformation monitoring data acquired during the construction of the Haoji railway large-scale bridge to investigate the displacement behavior of the subgrades, catenary columns, and tracks. Emphasis is placed on data acquisition and processing methods using total stations and automated monitoring systems. Through a comprehensive analysis of lateral, longitudinal, and vertical displacement data from 26 subgrade monitoring points, catenary columns, and track sections, this research evaluates how construction activities influence railway structures. The results show that displacement variations in the subgrades, catenary columns, and tracks remained within the established alert thresholds, exhibiting stable deformation trends and indicating that any adverse environmental impact was effectively contained. Furthermore, this paper proposes an early warning mechanism based on an automated monitoring system, which can promptly detect abnormal deformations and initiate emergency response procedures, thereby ensuring the safe operation of the railway. The integration of big data analysis and deformation prediction models offers a practical foundation for future safety management in railway construction.