Project Overview
Onpoint Building Data was engaged to deliver a detailed point cloud and BIM model of a historical home located in the greater Chicago area. Measuring just under 6,000 square feet, the project required a Revit model at LOD 350 to support restoration efforts and preserve the property’s historical character. The timeline included one day on-site for scanning and a seven-day turnaround for deliverables.
Scope of Work
– 3D LiDAR Scanning: Captured the intricate architectural details and spatial dimensions of the historical property in a single day on-site.
– Point Cloud Generation: Processed high-resolution data from the LiDAR scans to create an accurate point cloud of the entire structure.
– LOD 350 Revit Model: Developed a detailed BIM model in Autodesk Revit, incorporating precise geometry and system components to represent existing conditions with a high degree of accuracy.
Challenges and Solutions
– Preservation of Detail: The historical nature of the home demanded careful attention to ornamental and structural details. The LiDAR technology ensured these elements were captured with precision.
– Tight Turnaround: The project required swift delivery. Onpoint’s streamlined workflow enabled the completion of scanning, processing, and modeling within the seven-day window.
Deliverables
– Point Cloud Data: Delivered a high-resolution point cloud, providing a visual and spatial reference for the project team.
– Revit Model (LOD 350): Provided a comprehensive, detailed model that accurately represented the historical home’s architectural and structural elements.
Key Outcomes
– Efficiency: The use of 3D LiDAR scanning reduced on-site time while ensuring accurate data collection.
– Support for Restoration: The LOD 350 model allowed stakeholders to plan restorations with confidence, preserving the home’s historical integrity.
– Client Satisfaction: Delivered on time and met the client’s expectations for precision and detail, supporting the successful progression of the restoration project.
To engage further regarding this case study, please reach out to Onpoint Building Data at www.onpointbuildingdata.com