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Case Study

Predictive maintenance of rail infrastructure using data

Industry

  • Transport & Logistics (French company)

 

Challenge

  • Development of BIM, 3D Point Clouds and Machine Learning (ML) applications

Context

We worked for a major French railway company on the development of applications involving BIM, 3D Point Clouds and Machine Learning.

Solution

  • Analysis of maintenance data and identification of bottlenecks;

  • Implementation of machine learning models for anomaly detection and predictive maintenance;

  • Development of algorithms for processing 3D point cloud data to detect objects;

  • Integration of the models into a data analysis platform.

Technologies

  • Python

  • Batch

  • Spring Boot

  • Angular 9

  • 3D Point Clouds

Keys to success

  1. Expertise in data analysis and machine learning;
  2. Good understanding of the business needs for the maintenance and safety of its rail infrastructure;
  3. Ability to integrate models into an effective data analysis platform.