Capita Real Estate and Infrastructure has developed a new workflow to accelerate project design.
The process begins by scanning the existing project site from a number of locations using a 3D laser scanner to capture the ‘real world’ formation of the building, infrastructure and close facilities. This creates a set of data points in a point cloud model* representing an accurate 3D representation.
Once the existing conditions have been recorded to create the point cloud model, the next stage is to input the captured 3D data set into a registration system. This system aligns and manages the unique point clouds recorded, allowing the scanned data to be processed and to enable full navigation through individual areas. When all the points are collated, a 3D model can then be produced which allows visualisation of data, measurements and collaboration of the project.
Steve Haycock, Associate Director said “Within minutes of setting up, there is a recording of the current status of the project site. By implementing this new scanning technology, we can extract 2D and 3D data from the point clouds. At this point, floor plans, profiles, elevations and 3D models can be efficiently generated. This stage allows us to make cross comparisons against the as-built conditions comparing to digital CAD models. The final stage is to convert the 3D model into a 3D Revit model if this is required. This allows ongoing design development to be coordinated by the team.”
Trevor Evert, Director, Engineering said “This is a great piece of innovation that the team have developed which is allowing us to work faster and smarter with our clients on their projects. It allows us to capture accurate, on-site, as-built information for the design development of solutions as well as to minimise safety risks as onsite teams no longer have to work at height or in confined spaces.”
* A point cloud is a set of data points in some coordinate system. In a three-dimensional coordinate system, these points are usually defined by X, Y, and Z coordinates, and often are intended to represent the external surface of an object. The point cloud represents the set of points that the device has measured.
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