How to Collect Architectural Facade Data Using SHARE SLAM S20 or SHARE C1

Keywords: 3D LiDAR Scanner, Spatial Camera, SLAM LiDAR, construction 3D scanning, digital construction, BIM verification, infrastructure LiDAR

PART 1: Background

Facade measurement plays a crucial role in controlling the budget of exterior painting projects and avoiding extravagance and waste. Typically, before construction begins, the project owner commissions a professional surveying team to carry out facade measurements. The data obtained from these measurements are used to procure painting materials, ensuring that neither a shortage delays construction progress nor an excess leads to cost overruns. Therefore, this solution comprehensively employs a SLAM handheld high-precision LiDAR scanner (SHARE SLAM S20 series、SHARE C1) and CAD-series software to achieve efficient, low-cost, and scalable acquisition of building facade data.

PART 2: Targets

1. Rapidly acquire simplified 3D point cloud data for the facade of a designated building. 

2. Extract central directional plane sections from SLAM point clouds, orient and annotate lines, then manually or semi-automatically draft simplified structural elevation drawings using CAD.

3. Generate output drawings in DWG and DXF formats compliant with standards used by design institutes and construction firms. 

4. Acquire and generate 3D data models within survey areas for subsequent use in digital management platforms, enabling smart community development to enhance residents' quality of life and operational efficiency.

PART 3: Technical Route

1. Fieldwork: Load SLAM equipment for handheld scanning. Enable RTK and GCP measurement functions as needed, then collect data around the building along the planned route. 

2. Process raw point clouds in SHARE PointClouds Studio and output the resultant point cloud. 

3.Import the processed point cloud into AutoCAD. Extract lines to create a simplified elevation drawing of the structure. Use CAD measurement tools to calculate areas and draw other key areas of interest. 

PART 4: Hardware and Software Integration

PART 5: Solution Implementation Process

1.Preliminary Preparation 

(1) Determine the number and scale of buildings to be surveyed;

(2) Organize personnel training, familiarize teams with the survey area, and assign building responsibilities; 

(3) Conduct environmental analysis to identify high-obstacle barriers or roof-covered areas with light deficiencies, and design scanning routes accordingly. 

2. Field Data Collection 

3. Point Cloud Processing

(1) Perform raw data processing using SHARE PointClouds Studio, then convert to .rcp format point cloud data via third-party software (e.g., Autodesk Recap). Then import into Autodesk CAD software for measurement. Maximum noise reduction and clipping can be applied to point clouds both before and after CAD import, retaining only point cloud data for the buildings of interest; 

(2) Classify building data by ownership and view perspective for separate management; 

(3) Resolve coordinate discrepancies using geographic coordinate data (via control points or existing map scale information). Coordinate corrections can be performed using RTK or GCP functionality, if you use enable this function before collect data..4.Drawing Process

(1) Import the processed point cloud into AutoCAD. Adjust different views and use the point cloud section module for base drawing preparation (typically requiring point cloud magnification after import to convert length units to millimeters, determined by project specifics); 

(2) Classify elements by line color, width, etc., and annotate with dimension tapes to complete line drawing; 

(3) Supports exporting to DWG/DXF/PDF formats based on geometry.

PART 6: Application Scenarios