From Point Cloud to Precision: A Monumental Scan to BIM Case Study

  • 19 June 2025

Introduction

In the rapidly evolving world of digital construction, few projects showcase the true potential of Scan to BIM like this recent monumental undertaking. Tasked with capturing and modeling one of the largest facilities ever documented using laser scanning, our team was challenged to convert raw point cloud data into an accurate and intelligent BIM model — all while navigating tight timelines, complex architecture, and massive data volumes.

This case study offers a detailed walkthrough of how advanced 3D laser scanning technology and expert modeling workflows came together to deliver a high-precision digital twin. From boots on the ground to a fully coordinated Revit model, here’s how we turned millions of square feet of real-world complexity into digital clarity.

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1. Project Overview: Scope, Scale, and Objectives

When it comes to Scan to BIM, scale changes everything. The project at hand involved digitally capturing over 2.5 million square feet of an aging industrial complex slated for redevelopment. Spanning multiple buildings, mechanical systems, and utility networks, the scope extended across structural, architectural, and MEP elements — all of which had to be accurately represented in the final BIM model.

The client, a major developer preparing for adaptive reuse of the site, required a high-fidelity model to inform their design, engineering, and planning processes. The key objectives were clear:

  • Comprehensive 3D capture of all visible elements
  • Level of Detail (LOD) 300 modeling
  • Segmentation by discipline and building zone
  • Cloud-hosted access for remote collaboration

Field teams worked in staggered shifts to scan the site with minimal disruption. The facility was subdivided into zones, enabling parallel scanning and modeling activities. Over 3 terabytes of raw scan data were collected, forming the foundation for an intelligent and actionable BIM model.

2. Data Acquisition: The Scanning Process and Technology Used

Capturing the site required a hybrid approach using:

  • Leica RTC360 & BLK360 for terrestrial scans
  • NavVis VLX for high-speed mobile LiDAR
  • DJI Phantom 4 RTK for aerial photogrammetry

Scanners operated in 10-hour shifts, aligned by a pre-mapped zone strategy. Control points ensured georeferenced accuracy, while real-time validations prevented costly return trips.

Over 4,500 scan stations were completed within three weeks, resulting in a clean, high-resolution point cloud dataset ready for modeling.