Open AccessResearch on Point Cloud and BIM Model Registration Supported by Adaptive Genetic Algorithm
Author(s) -
Rong Deng,
Lei Zhou
Publication year - 2020
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1648/3/032019
Subject(s) - point cloud , process (computing) , genetic algorithm , point (geometry) , computer science , cloud computing , algorithm , data mining , artificial intelligence , computer vision , machine learning , mathematics , geometry , operating system
Steel beam structure in the construction process, especially in the splicing process, there will be errors, which will bring certain hidden dangers to the construction safety. Based on the registration of point cloud and model, digital detection is realized, so as to accurately determine the deviation between point cloud data and BIM model. Based on this, this paper first studies the mathematical description of the registration problem between point cloud and BIM model, then analyses the ameliorative adaptive genetic algorithm, and finally verifies the feasibility and effectiveness of the ameliorative adaptive genetic algorithm.