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 CRTSIII (China Railway Track System) 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.
Highlights
With the rapid development of Chinese high-speed railway construction and the continuous expansion of the international market, the demand for China Railway Track System (CRTSIII) track slabs with completely independent intellectual property rights continues to grow rapidly
Aimed at the problem of detecting the dimensional deviation of high-speed railway track slabs, this paper proposes a method for detecting the supporting block plane based on a 3D scanner
It is the first time that the three-dimensional scanner and robots have been applied to the detection of the high-speed railway track slab supporting block plane
Summary
With the rapid development of Chinese high-speed railway construction and the continuous expansion of the international market, the demand for China Railway Track System (CRTSIII) track slabs with completely independent intellectual property rights continues to grow rapidly. The dimensional accuracy directly affects the stability, smoothness of the track and the safety of the train operation. It is necessary to carry out a strict inspection on the external dimensions of the track slab before the delivery, and the higher requirements should be put forward for the detection efficiency and detection accuracy of the track slab. The detection of the deviation of the track slab external dimensions is mainly based on the manual inspection and contact-type measurement devices. It takes 40 min to detect a track slab, and the detection efficiency and repeatability of which are rather low, which cannot bring greater benefits to actual production [1].
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