Create digital twins of train stations to better exploit railway heritage data
As part of the extensive BIM programme launched by SNCF Gares & Connexions, Dalkia, a subsidiary of the group EDF, lead the public innovation partnership around BIM GEM. In this context, JEMS, via its subsidiary LUMEN, intervenes to help structure, improve the quality of, and ensure the usability of data from digital models. The challenge is to transform these digital twins into genuine operational tools, capable of supporting concrete use cases related to maintenance, energy, and passenger experience.
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In a few figures...
122
garages to digitise
The project is part of a nationwide BIM programme, with the aim of progressively digitising the station heritage of SNCF Gares & Connexions.
12ans
deployment
The planned duration of the programme shows it is not a simple pilot project, but a fundamental transformation of asset management.
50
Target use cases
Digital twins are intended to serve practical uses, particularly in predictive maintenance, energy performance, operations and station services.
The project
Our approach
JEMS and LUMEN are involved in structuring the operational aspect of BIM models, with an approach focused on data quality, interoperability, and continued usability over time. The work covers the definition of BIM requirements, bringing models up to standard, structuring data dictionaries and exchange protocols, as well as implementing compliance KPIs to ensure the reliability of digital assets.
The diagnosis
Once the stations have been modelled in 3D, the challenge is no longer just to have a model, but to make it usable over time. As part of the public innovation partnership led by Dalkia, a subsidiary of the EDF group, JEMS, through its subsidiary LUMEN, is helping to structure an environment capable of integrating data from various sources, such as sensors, installations, diagnostics, geolocation, or maintenance records. As also illustrated by this article from Le Moniteur on BIM GEM and energy management for SNCF stations, a robust BIM framework therefore needed to be put in place to ensure the coherence, compliance and continuity of data throughout the lifecycle of the assets.
The key deliverables
- Development of the BIM GEM specifications for public innovation partnerships
- Setting up a Revit template for BIM contributors
- Implementation of a KPI system to analyse the data compliance level
- Integration of the data exchange protocol into the BIM CDE
- Analysis and audit of BIM GEM models in native and IFC formats
- Development of a BIM data dictionary integrating business classifications and property sets
- Definition of an object identification protocol to ensure data continuity throughout the asset lifecycle
How can SNCF Gares & Connexions transform its stations into Digital twins that are genuinely exploitable?
The benefits
More usable BIM models
The project goes beyond simple 3D modelling to make the models genuinely useful for operational challenges.
Better data quality
The implementation of KPIs, dictionaries and compliance protocols strengthens the reliability of the data integrated into the mock-ups.
Improved continuity within the asset lifecycle
The object identification protocol helps to ensure data consistency over time.
Better structured exchanges between stakeholders
Templates, protocols and regulatory frameworks facilitate alignment between the various BIM contributors.
A platform ready for multiple use cases
The BIM platform can then feed into practical uses in predictive maintenance, energy, or passenger experience.
The 6-step approach
1. Define BIM framework requirements
JEMS supports Dalkia in formalising the BIM GEM specifications in accordance with applicable standards.
2. Equipping contributors
A Revit template is provided to ensure compliance with the client's requirements and to standardise output.
3. Check consistency of mock-ups
KPIs and audits are used to assess data quality and the conformity of the mock-ups produced.
4. Structuring data exchanges
Exchange protocols are integrated into the BIM CDE to streamline interactions between stakeholders and tools.
5. Build a common dictionary
A BIM data dictionary is being developed to align business classifications and object properties.
6. Ensuring the continuity of digital assets
An object identification protocol is defined to ensure data continuity throughout the lifecycle of the stations.
