Scan to BIM is a technically sophisticated process that bridges the physical and digital worlds, creating highly accurate as-built models from point cloud data. For engineers, architects, and technical stakeholders, understanding the cost requires looking beyond simple square footage and appreciating the technical nuances that dictate the required effort and expertise. This article provides a technical breakdown of the factors influencing Scan to BIM pricing.
The entire workflow can be divided into two cost centers: On-Site Data Capture and In-Office Model Authoring. The on-site phase, utilizing technologies like terrestrial laser scanning or mobile mapping, typically accounts for a smaller portion of the total budget. Its cost is governed by mobilization, man-days on-site, and the technology deployed. The subsequent model authoring phase is where the majority of the cost lies, as it involves skilled technicians interpreting complex point cloud data and meticulously constructing an intelligent BIM model.
Key Technical Cost Drivers in a Scan to BIM Project
The final quotation for a Scan to BIM project is an aggregation of costs derived from several specific technical and logistical considerations.
Point Cloud Density and Registration: The required accuracy of the scan dictates the density of the point cloud. Higher density requires more scan time and generates massive datasets. The process of registering—or stitching together—multiple scans into a cohesive point cloud is a critical step. A complex site with many obstructions requires more scans and a more complex registration process, increasing processing time and cost. Level of Development/Detail (LOD): From a technical standpoint, the specified LOD directly translates to man-hours. An LOD 200 model may only require the creation of generic massing elements. An LOD 350 model, however, necessitates the precise modeling of individual components (like pipes, flanges, and valves) with accurate dimensions and spatial relationships. This granular work is labor-intensive and requires a high level of skill, especially when modeling dense MEP systems from a point cloud. Discipline-Specific Complexity: Not all building systems are created equal. Modeling architectural and structural elements is often more straightforward than modeling MEP systems. MEP modeling from scan data is particularly challenging due to the density, occlusion, and complexity of ductwork, piping, and electrical systems. Projects heavy on MEP documentation will invariably have a higher cost. Software and Deliverable Requirements: The cost is also influenced by the required software ecosystem and deliverables. While Revit is a standard, some projects may require models in ArchiCAD or Bentley. Custom parameter creation, specific file formats (RVT, IFC, NWC), or the generation of 2D drawings from the 3D model are all distinct tasks that add to the overall project cost. Procuring Services: How to Frame Your Technical Requirements for an Accurate Quote
To obtain a technically sound and accurate quote, your request for proposal (RFP) should be as detailed as possible.
First, provide a comprehensive Scope of Work (SOW) that clearly delineates the boundaries of the project, specifying which disciplines (Architectural, Structural, Mechanical, Electrical, Plumbing, Fire Protection) are to be modeled.
Second, define the LOD for each discipline. It is often unnecessary for all systems to be modeled to the same LOD. Be strategic to control costs.
Third, share all available existing data. This includes old CAD files, PDFs, or even photographs. This context helps the modeling team interpret the point cloud data more efficiently.
Finally, ask potential providers about their Quality Assurance/Quality Control (QA/QC) process. How do they verify the model's accuracy against the point cloud? What are their tolerance standards? A robust QA/QC process is indicative of a high-quality service provider and is essential for a reliable final deliverable.
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