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For a long time, the AEC industry has faced several challenges concerning efficiency, productivity, and coordination. While a manual approach always stays prone to these issues, BIM services let a project meet its efficiency demands. Of all the technologies, point cloud to BIM services exhibited a promising potential to refine the AEC workflows.

Refurbishment or renovation of buildings relies on accuracy in scanning on-site conditions. And this is where point cloud to BIM services come into the picture with reliable information. Let’s unveil these services and how they benefit the AEC industry.

What does a Point Cloud Mean?

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The new-age scanning techniques use laser scanners for accuracy. A laser scanner carries in-depth scanning of the physical structures and surroundings and depicts the information with 3D points. These are known as point clouds. A point cloud model represents illustrations built with large data points to showcase the structure's spatial features, dimensions, and form.

Are Point Clouds Compatible with BIM Software?

A point cloud data can’t directly be fed into a BIM model. While a BIM model comprises objects and elements like doors, windows, walls, roofs, structures, services, etc., a point cloud is densely distributed points. To feed the information into a 3D model, point cloud to BIM services come into the picture.

Steps Involved in Point Cloud to BIM Services

  1. Acquiring the Data

The first step is to gather data. Laser scanners are used to capture point clouds. The data is taken from every angle and position to guarantee comprehensive structure coverage.

  1. Cleaning the Noise

Point cloud data consists of certain noises. To ensure a precise model building, eliminate unnecessary information before registering the points.

  1. Registering the Points

After recording the data, scanned information is registered into a cohesive point cloud, and saved in a file type with the extension rcp. The scans are aligned in this process, and a common coordinate system is established.

  1. Extracting the Features

The next step involves converting this recorded data into a Revit model. Advanced algorithms/modeling techniques are employed to extract elements like walls, structure, openings, etc., to streamline the model.