Case Study
Predictive maintenance of rail infrastructure using data
Industry
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Transport & Logistics (French company)
Challenge
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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
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Python
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Batch
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Spring Boot
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Angular 9
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3D Point Clouds
Keys to success
- Expertise in data analysis and machine learning;
- Good understanding of the business needs for the maintenance and safety of its rail infrastructure;
- Ability to integrate models into an effective data analysis platform.