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3D scan and analysis

LiDAR color point cloud of the SRB STM Jean-Talon Pie-IX tunnel in Montreal, georeferenced 3D scanning for BIM and Revit coordination.

STM - BRT Tunnel - Jean-Talon / Pie-IX

Client / Collaborator

Société de transport de Montréal [STM]

Sector

Architecture, Infrastructure, Transport

Location

Montreal

Services

Relevé LiDAR

Mandate

DGTL was commissioned to digitize the pedestrian tunnel connecting the Pie-IX BRT stops and the future Pie-IX metro station (extension of the blue line), including all technical spaces and associated service areas. The objective was to accurately capture the conditions as built in order to update the existing Revit model.

 

All results had to be rigorously georeferenced and linked to the project's coordinate system to ensure seamless integration with the existing BIM environment and the models developed by the design team.

3D LiDAR scanning of the STM Jean-Talon Pie-IX pedestrian tunnel, high-precision point cloud for as-built, Revit, and MEP engineering.
3D LiDAR scanning of the STM Jean-Talon Pie-IX pedestrian tunnel, high-precision point cloud for as-built, Revit, and MEP engineering.

Mandate

DGTL was commissioned to digitize the pedestrian tunnel connecting the Pie-IX BRT stops and the future Pie-IX metro station (extension of the blue line), including all technical spaces and associated service areas. The objective was to accurately capture the conditions as built in order to update the existing Revit model.

 

All results had to be rigorously georeferenced and linked to the project's coordinate system to ensure seamless integration with the existing BIM environment and the models developed by the design team.

Proposition

To ensure perfect alignment with the ongoing project, DGTL relies on the existing primary control network: the coordinates provided by the project's surveying team serve as a geometric reference. We then propose a complete capture of the infrastructure using a combination of terrestrial LiDAR and mobile LiDAR (SLAM), attached to the same canvas, in order to cover the interior, exterior, and technical areas with continuity and without any missing areas.

    

Existing control network

We reuse the points and coordinates already established by the project surveyors to ensure a common reference base. This approach ensures spatial consistency between the point cloud, the existing Revit, and all disciplines (architecture, structure, mechanical, electrical).

    

Terrestrial LiDAR

We deploy terrestrial LiDAR to capture the “true terrain” geometry of volumes, walls, slabs, vaults, openings, and visible structural elements. The density and range of this type of scanning support reliable reading of shapes and efficient extraction for sections and elevations.

    

Mobile LiDAR (SLAM)

We supplement the capture with mobile LiDAR (SLAM) to ensure smooth and comprehensive documentation of passageways, technical rooms, premises, and complex transitions. This technology accelerates coverage and reduces blind spots, while remaining attached to the control framework.

   

Revit model update (as-built)

Using the captured data, DGTL methodically adjusts the Revit model to reflect the actual construction conditions. The modifications cover visible architectural, structural, mechanical, and electrical elements, in order to deliver a model that can be used for coordination, conflict resolution, planning, and future interventions.

Deliverables

Georeferenced point cloud in colour

A point cloud in colour, attached to the project control network, that serves as a measurable reference for validating geometry, checking clearances, extracting sections, and accelerating Revit and AutoCAD coordination between disciplines.

 

Quality report

A quality report that documents the attachment to the control framework and provides defensible statistics (deviations, residues, assembly parameters) to demonstrate the accuracy and traceability of the data used for modeling.

 

Updated Revit model (as-built)

A Revit model adjusted to site conditions, which facilitates coordination and decision-making. In particular, it allows the position and geometry of elements such as concrete walls and columns, openings, equipment, cable trays, ducts, and visible MEP components to be updated, resulting in a model that is consistent with the actual infrastructure built.

Georeferenced LiDAR point cloud of the STM Jean-Talon East infrastructure, SRB tunnel, and technical facilities, Montreal, Quebec, defensible data.
Perspective view of the colored point cloud of the SRB STM tunnel, 3D LiDAR scanning to update the Revit model according to constructed conditions.
Detailed point cloud of the pedestrian tunnel and STM technical spaces, Montreal, terrestrial and mobile LiDAR survey for architecture, structure, and mechanics.
3D LiDAR scanning of the STM tunnel connecting the SRB stops and the future station, color point cloud for planning, measurements, and BIM.
Isometric view of the point cloud of the SRB STM Jean-Talon tunnel, high-density 3D survey for alignment with the control network and Revit integration.
LiDAR point cloud of the tunnel and STM technical rooms in Montreal, as-built survey for correction of conduits, supports, and concrete geometry.
Detail of the LiDAR point cloud showing walls, ceilings, and equipment in the STM tunnel, Montreal, Quebec, 3D capture for drawings and BIM.
Georeferenced point cloud of the SRB Jean-Talon East to Pie-IX tunnel, 3D LiDAR scanning for quality control, measurements, and Revit updates.

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