Lightweight BIM model construction method for urban civil engineering quantity calculation

By using adaptive region segmentation and dimensionality reduction based on neighborhood complexity, the problems of loss of details in complex regions and data redundancy in simple regions in the construction of lightweight BIM models in existing technologies are solved, thereby improving the accuracy and efficiency of urban civil engineering quantity calculation.

CN121392196BActive Publication Date: 2026-03-31SHAANXI XITENG MEASURING INSTR CO LTD
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Patent Information

Application Number
CN202511984757.3
Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
Filing Date
2025-12-26
Publication Date
2026-03-31
Estimated Expiration
2045-12-26

AI Technical Summary

Technical Problem

Existing technologies cannot adaptively adjust to the complexity of regional structures when building lightweight BIM models, resulting in the loss of details in complex areas and data redundancy in simple areas, which affects the accuracy and efficiency of urban civil engineering quantity calculations.

Method used

By acquiring point cloud data, adaptive region segmentation and dimensionality reduction are performed based on neighborhood complexity to construct a lightweight BIM model, which retains the point cloud details of complex areas and reduces data redundancy in simple areas.

Benefits of technology

It improves the accuracy of civil engineering quantity calculation and the efficiency of model building and calculation, and overcomes the problems of loss of details in complex areas and data redundancy in simple areas.

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Abstract

The present application relates to the technical field of three-dimensional modeling, and particularly relates to a lightweight BIM model construction method for urban civil engineering quantity calculation, which solves the technical problem of large engineering quantity calculation error caused by loss of complex region details and data redundancy of simple region due to fixed size downsampling in the prior art. The method comprises the following steps: obtaining a point cloud data set of a urban civil engineering region; determining the neighborhood complexity of each point cloud according to the point cloud data set, and performing region segmentation on the point cloud data according to the neighborhood complexity to obtain a plurality of sub-regions; the neighborhood complexity is used to represent the geometric feature complexity of the surrounding of the point cloud; performing dimension reduction processing on the point cloud data of the sub-region according to the neighborhood complexity of the plurality of point clouds in the sub-region to obtain lightweight point cloud data; and constructing a lightweight building information model of the urban civil engineering region according to the lightweight point cloud data.
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