Next Article in Journal
Preparation and Removal Properties of Cimetidine from Aqueous Solution by Waste Bricks Incorporated with Different Iron Oxides
Previous Article in Journal
A Novel Virtual Sensor for Estimating Robot Joint Total Friction Based on Total Momentum
Article Menu

Export Article

Open AccessArticle

An Innovative Detection Method of High-Speed Railway Track Slab Supporting Block Plane Based on Point Cloud Data from 3D Scanning Technology

1
Faculty of Geosciences and Environmental Engineering, Southwest Jiaotong University, Chengdu 611756, China
2
China Railway 22nd Bureau Group Co., Ltd., Beijing 100043, China
3
Center for Geodetic Data Processing, National Administration of Survey, Mapping and Geoinformation, Xi’an 710054, China
4
State-province Joint Engineering Laboratory of Spatial Information Technology for High-Speed Railway Safety, Chengdu 610031, China
*
Author to whom correspondence should be addressed.
Appl. Sci. 2019, 9(16), 3345; https://doi.org/10.3390/app9163345
Received: 3 July 2019 / Revised: 5 August 2019 / Accepted: 12 August 2019 / Published: 14 August 2019
(This article belongs to the Section Applied Industrial Technologies)
  |  
PDF [7628 KB, uploaded 16 August 2019]
  |  

Abstract

The dimension detection of high-speed railway track slabs is one of the most important tasks before the track slabs delivery. Based on the characteristics of a 3D scanner which can acquire a large amount of measurement data continuously and rapidly in a short time, this paper uses the integration of 3D scanner and the intelligent robot to detect the China Railway Track System (CRTSIII) track slab supporting block plane, then the dense and accurate supporting block plane point cloud data is obtained, and the point cloud data is registered with the established model. An improved Random Sample Consensus (RANSAC) plane fitting algorithm is also proposed to extract the data of supporting block plane point cloud in this paper. The detection method is verified and the quality analysis of the detection results is assessed by a lot of real point cloud data obtained on site. The results show that the method can meet the quality control of CRTSIII finished track slab and the detection standard. Compared with the traditional detection methods, the detection method proposed in this paper can complete the detection of a track slab in 7 min, which greatly improves the detection efficiency, and has better reliability. The method has wide application prospects in the field of railway component detection. View Full-Text
Keywords: high-speed railway CRTSIII track slab; 3D scanning technology; point cloud; robot; rapid detection of the supporting block plane; improved RANSAC plane fitting algorithm high-speed railway CRTSIII track slab; 3D scanning technology; point cloud; robot; rapid detection of the supporting block plane; improved RANSAC plane fitting algorithm
Figures

Figure 1

This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).
SciFeed

Share & Cite This Article

MDPI and ACS Style

Chen, X.; Qin, F.; Xia, C.; Bao, J.; Huang, Y.; Zhang, X. An Innovative Detection Method of High-Speed Railway Track Slab Supporting Block Plane Based on Point Cloud Data from 3D Scanning Technology. Appl. Sci. 2019, 9, 3345.

Show more citation formats Show less citations formats

Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Related Articles

Article Metrics

Article Access Statistics

1

Comments

[Return to top]
Appl. Sci. EISSN 2076-3417 Published by MDPI AG, Basel, Switzerland RSS E-Mail Table of Contents Alert
Back to Top