Client

SNCF - DGII ME

SNCF (Société Nationale des Chemins de fer Français), specifically the DGII ME (Industrial and Engineering General Directorate - Maintenance and Operations), is responsible for the maintenance and supervision of the French railway network. As a major player in rail transport, SNCF must constantly monitor its infrastructure to ensure the safety and reliability of its network.

Context

As part of the modernization of its monitoring systems, SNCF needed to develop a solution to cross-reference two essential data sources: "shunting" (short-circuit) data from passing trains and data from the SYRENE system (automatic train number recognition by images). The goal was to create an automated system capable of collecting and processing this data in real-time, while associating electrical disturbances with specific train passages. This system also needed to allow for the visualization of this information via an intuitive web interface, thus facilitating more effective monitoring of the railway network.

Solution

The implemented solution includes an automatic data retrieval and processing system, coupled with a web application for visualizing SSTR (Residual Voltage Monitoring System) data. The interface integrates interactive graphs showing disturbance curves for each train passage, as well as a comprehensive system for filtering and analyzing historical data.

Result

The project resulted in the complete automation of data collection and processing, allowing for real-time visualization of network disturbances. This advancement has led to a better understanding of the impacts of train passages on the infrastructure and optimized preventive maintenance through the analysis of historical data. The significant improvement in SNCF's network monitoring capacity directly contributes to the modernization of supervision tools and aligns with the continuous improvement approach of predictive maintenance for railway infrastructure.

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