Journal of Engineering Research

With the continuous expansion of the operation scale of Chinas subway network, all kinds of engineering activities in the subway protection area pose more and more serious challenges to the safety of the existing lines. In order to ensure the daily traffic safety of the public, automatic monitoring is generally adopted in the existing subway lines in the affected areas. Aiming at the problems of low efficiency and high error rate in manual processing of monitoring data, this study proposed an innovative monitoring data processing strategy, and developed an automated processing system through Python programming language. The program has been successfully applied in an engineering example, showing its ability to automatically extract data, generate monitoring daily news and draw deformation time history curve, thus significantly improving the processing efficiency and accuracy of monitoring data.

Existing subway; Automated monitoring; Data processing