Method utilizing 3D laser scanning technology to realize rapid BIM modeling

Abstract

The invention discloses a method utilizing the 3D laser scanning technology to realize rapid BIM modeling. The method comprises steps that a data acquisition step, field scanning is carried out through utilizing a three-dimensional laser scanner, integral and real original data of a designated structure engineering target is acquired, and point cloud data having the accurate space information is acquired; a point cloud data pre-processing step, splicing, de-noising, classification and color processing of the acquired three-dimensional laser point cloud data are carried out through utilizing point cloud pre-processing software; BIM model construction is carried out; model application management is carried out. The method is advantaged in that rapid, accurate and batch BIM modeling is carried out through utilizing the 3D laser scanning technology, data bulk of artificial field repetition measurement can be reduced to a maximum degree, modeling precision and efficiency are improved, resources are reasonably utilized, a problem of inconvenience in traditional BIM modeling is solved, and high-precision and high-efficiency BIM modeling is realized.

Description

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AI Technical Summary

Benefits of technology

This invention provides an improved method called 3D LASER Scan that allows quick, precise, and consistently created models without requiring human interference or effort from outside sources like laboratories. It improves accuracy while reducing costs compared with current methods such as bending paper documents into shape manually.

Problems solved by technology

This patented describes an improved way to create accurate digital representations (BIMs), called BIM Models or Building Information Modeling). However, current methods have limitations with respect to their effectiveness due to issues like human factor bias caused by subjective judgments about how well they were done compared against what was actually achieved through trial and error analysis techniques. Additionally, existing systems require expensive equipment and trained staff members, making them difficult to use at remote locations where realistic environmental conditions may affect building performance.

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