|Table of Contents|

Automatic Inspection Algorithm of Quantity and Spacing of Reinforcement Based on Point Cloud(PDF)

《建筑科学与工程学报》[ISSN:1673-2049/CN:61-1442/TU]

Issue:
2022年04期
Page:
90-99
Research Field:
Publishing date:

Info

Title:
Automatic Inspection Algorithm of Quantity and Spacing of Reinforcement Based on Point Cloud
Author(s):
LIU Shi-long;  MA Zhi-liang
(Department of Civil Engineering, Tsinghua University, Beijing 100084, China)
Keywords:
point cloud;  reinforcement skeleton;  quality inspection;  registration;  algorithm
PACS:
TU973.2
DOI:
10.19815/j.jace.2021.07021
Abstract:
In order to improve the automatic inspection method of reinforcement skeleton quality, an automatic inspection algorithm of quantity and spacing of reinforcement in reinforcement skeleton based on point cloud was proposed. On the basis of obtaining the actual point cloud and the design point cloud of reinforcement skeleton, the algorithm firstly downsampled the two point clouds respectively to obtain the actual point cloud and the design point cloud of reinforcement skeleton with the same spatial density. Secondly, the actual point cloud and design point cloud of the reinforcement skeleton after downsampling were roughly registered by using the method based on principal component analysis(PCA). Due to the low registration accuracy of the actual point cloud and design point cloud of the reinforcement skeleton after coarse registration, it could not be directly used for the inspection of the quantity and spacing of reinforcement, the actual point cloud and design point cloud of the reinforcement skeleton after coarse registration were accurately registered. Finally, based on the actual point cloud and design point cloud of the reinforcement skeleton obtained by fine registration, the quantity and spacing of reinforcement in the reinforcement skeleton were checked in turn. The results show that the registration accuracy of actual point cloud and design point cloud of reinforcement skeleton after fine registration is high, which can be used to check the quantity and spacing of reinforcement. The accuracy of the algorithm is 100% for the number of reinforcement inspection and 80% for the spacing of reinforcement inspection. The application of this algorithm can effectively improve the efficiency of checking the number and spacing of reinforcement in complex reinforcement skeleton and reduce the labor cost.

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Last Update: 2022-07-10