Abstract
In order to improve the operation effect of the railway train inspection robot, this paper applies image recognition technology to the robot system. The hardware part of the robot system includes: data acquisition station, data processing transfer station and inspection analysis center. First of all, this paper improves the traditional image recognition algorithm and builds an image recognition system suitable for railway train inspection requirements. Secondly, this paper combines the operating requirements of the railway train inspection robot to collect multiple sets of data through the vision system to establish a database, and collects trust data from the railway department to construct a standard database. In addition, this paper builds the intelligent identification system of this paper through simulation, obtains the railway train inspection robot, verifies the recognition performance of the railway train inspection robot through multiple sets of data, and counts the recognition accuracy rate. Finally, this paper verifies the reliability of the intelligent robot system constructed in this paper through experimental research.
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Funding
The research is supported by: 1. Project of production, education and research of Zhengzhou Railway Vocational and Technical College «Design and research of multifunctional trolley for trough detection» (Project No.: 2020CXY001); 2. Project of production, education and research of Zhengzhou Railway Vocational and Technical College «Design and Research on Ore Powder Removal Device of Port Railway Crossing Flange Groove» (Project No.: 2020CXY002).
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Lv, M., Niu, C. Railway train inspection robot based on intelligent recognition technology. Int J Syst Assur Eng Manag 14, 648–656 (2023). https://doi.org/10.1007/s13198-021-01446-8
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DOI: https://doi.org/10.1007/s13198-021-01446-8