Client case

 

Détection

 

Automate defect detection on trackside telecom assets

 

 

 

Pedestrian inspection rounds are time‑consuming, costly, and disruptive to the operation of the rail network. As a result, inspections of the telecom assets located along the tracks can only be performed once or twice a year to cover the entire 44,000‑kilometre network.
The use of a digital twin in this context aims to automate the detection of changes in the condition of these installations by leveraging regularly updated data.

 

 

 

 

 

 

 

 

 

     

 

Besoin du client

Customer needs

 

Detection of missing or damaged slabs, cable ducts, trackside phones, and shelters; open hatches; broken fencing; and landslides near the tracks

 

Types de données analysées 

Types of data analyzed

 

3D LiDAR images and point clouds

 

Méthode d'acquisition des données

Data acquisition method

 

Measurement train

 

Méthode d'utilisation du jumeau numérique

Method of using the digital twin

 1

Creation and training of 3 algorithmic modules for :

    • Detection of objects near the railway tracks
    • Tracking of objects (Multiple Object Tracking)
    • Characterization of changes in the condition of installations
2

Point cloud segmentation for data analysis and detection of three-dimensional objects
3

Evaluation of the detection model's performance (proportion of target objects correctly detected by the model)

 

Gains pour le client

Benefits for the client
  • 1 kilometer of track analyzed in 12 seconds versus X hours on a pedestrian inspection
  • 99.5% of detections are accurate
  • 7.75 kilometers of track analyzed, with 221 objects detected and classified
  • 98.4% accuracy in anomaly detection

 

 

question mark

What is LiDAR ? 

LiDAR, which stands for "Light Detection and Ranging" or "Laser Imaging Detection and Ranging," is a distance measurement technique based on the analysis of the properties of a light beam returned to its emitter.

A LiDAR system is an optoelectronic device consisting of a laser emitter, a receiver with a light collector (such as a telescope or other optics), and a photodetector that converts light into an electrical signal. It also includes an electronic signal processing chain that extracts the desired information.

LiDAR data collected forms a three-dimensional point cloud with up to 7,000 points per square meter, providing a highly detailed and precise level of information.

 

Lidar

What is a Track Inspection Vehicle (TIV) ?

SNCF Réseau operates a fleet of trains known as Track Inspection Vehicles (TIVs), which are equipped with LiDAR measurement sensors and cameras.They inspect conventional lines every eight weeks, providing comprehensive and continuously updated data.The primary data used for gauge analyses are the LiDAR data collected by the TIVs.These point clouds, processed through a series of quality control phases, have a high density (several hundred points per square meter) and centimeter-level relative accuracy.