Research and Application of Track Misalignment APM Detection Technology

Abstract

Objective In order to solve the problems of low efficiency and poor precision of traditional APM (automated people mover system), it is necessary to study the APM technology for track misalignment detection. Method The line laser sensor is used to obtain the track data, and track misalignment is identified and measured based on multi-dimensional image processing and point cloud processing technologies. Track contour data is firstly visualized, and image processing is then used to identify and locate track misalignment. Meanwhile, dynamic sequence is fused to determine whether the track status recognized by image recognition algorithm is consistent in a continuous period of time, thus solving the interference of single track section misjudgment and improving the accuracy of misalignment identification and positioning.After accurate identification and positioning of the misalignment, the track point cloud data obtained by scanning is processed by filtering and plane fitting to obtain the misalignment value. Result & Conclusion The test results from the actual line of Shanghai Metro Pujiang Line show that the multi-dimensional image processing technology and point cloud processing technology can realize accurate identification and positioning of track misalignment with high precision and good repeatability, meeting the requirements of track inspection.

Keywords

• rail transit
• apm
• track misalignment detection
• image processing
• dynamic sequence