Abstract
The High-speed railway is regarded as one with the cores and significant elements for cognitive urban mobility and transportation currently. Furthermore, the high-speed railway spare parts called “high-speed rail organs” play an important role in understanding the transportation of city. However, there are few studies on the quality detection of a high-speed rail spare parts in present. The current high-speed rail spare parts detection means are single, the detection efficiency and accuracy are low. To improve the quality detection accuracy and efficiency of high-speed railway spare parts, an intelligent quality detection system is designed for a high-speed railway spare parts using a three-dimensional laser in this paper. The software can complete the task of automatic analysis and processing point cloud data, and make up for the deficiency in poor accuracy and low efficiency of manual detection in the current detection of high-speed rail components. In the system, different algorithm parameters are introduced into different parts to improve the inspection accuracy of components with different characteristics. According to the experimental results, the precision of the detection results of the intelligent detection software can completely meet the requirements of high-speed rail component detection.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Levoy, M., Pulli, K., Curless, B. et al.: The digital Michelangelo project: 3D scanning of large statues. In: Conference on Computer Graphics and Interactive Techniques. ACM Press, Addison-Wesley Publishing Co., pp. 131–144 (2001)
Wng, T.: Surface Deformation Monitoring Based on Three-dimensional Scanning Technology. Shan Dong University of Science and Technology, Qingdao (2011)
Long, Z.: Slope Deformation Monitoring and Deformation Trend Analysis Based on Three-dimensional Laser Scanning Technology. China Three Gorges University, Yichang (2016)
Jian, Z.: Research on the Application of Reverse Engineering in the Modeling Method and Detection of Body Covering Parts. YanShan University, Qinghuangdao (2005)
Du, L.: Quality Inspection of Complex Castings Based on Reverse Engineering. Northeastern University, Shenyang (2008)
Yuan, Y., Jiang, L., Keshu, Z.: Application of three-dimensional laser scanning technology in the measurement of large high temperature forgings. Surveying Mapp. Bull. 06, 45–47 (2009)
Chen, X., Wang, Y., Qiu, D., Lv, Y.: Three-dimensional control survey of steel frame docking at Tianjin west railway station. Surveying Mapp. Bull. 10, 70–72 (2012)
Mei, Z.: Detection of complex components based on three-dimensional laser scanning technology. In: Doulliez, P., Jamoulle, E. (eds.) Transportation networks with random arc capacities, RAIRO, vol. 6, no. 3, pp. 45–59. NanJing University of Information and Technology (1972)
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2020 Springer Nature Singapore Pte Ltd.
About this paper
Cite this paper
Cao, S., Song, B., Ke, F., Zhao, X. (2020). Intelligent Inspection of the High-Speed Railway Spare Parts Using Three-Dimensional Laser. In: Shen, J., Chang, YC., Su, YS., Ogata, H. (eds) Cognitive Cities. IC3 2019. Communications in Computer and Information Science, vol 1227. Springer, Singapore. https://doi.org/10.1007/978-981-15-6113-9_2
Download citation
DOI: https://doi.org/10.1007/978-981-15-6113-9_2
Published:
Publisher Name: Springer, Singapore
Print ISBN: 978-981-15-6112-2
Online ISBN: 978-981-15-6113-9
eBook Packages: Computer ScienceComputer Science (R0)