This technology is an automated inspection mechanism that utilizes a body traveling between rails equipped with multiple non-contact optical sensors to measure rail gauge (width), surface condition, notches, edge damage, and cracks at connection points, with a control unit that analyzes this data to provide maintenance insights.
Conventional rail inspection is performed manually by workers, which is time-consuming and labor-intensive, while also being prone to subjective judgment, missed inspections, and safety risks in the work environment.
This technology implements an automated system that precisely measures the condition of each rail section using first through fifth sensors positioned on both sides and the top guide of the body. It utilizes cameras for autonomous navigation and a control unit for data analysis to identify and report damage locations to operators. Applicable to logistics transport, service robots, and autonomous platforms, it enhances the efficiency and accuracy of rail inspections, reduces the risk of accidents and human error, and minimizes the need for manual labor and associated costs.
This invention was developed with support from the Ministry of Education, Science and Technology for the development of convergence technology for new and renewable energy intelligent robots.
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