en.Wedoany.com Reported - A vehicle intelligent inspection robot developed by Tianjin Rail Transit Group has completed over 500 hours of cumulative inspection time and inspection tasks for more than 300 train sets, with its core indicator comprehensive recognition rate reaching 91.7%. The device integrates laser autonomous navigation, a six-axis robotic arm, a high-definition visual perception system, as well as multi-sensor fusion and AI intelligent algorithms, replacing manual labor in routine inspections of key areas such as train undercarriages.
In traditional train inspections, checking undercarriage components is the most labor-intensive task. The intelligent inspection robot operates in both fully automatic cruise and remote manual control modes, allowing it to autonomously travel along preset routes within maintenance tracks to identify equipment anomalies such as loose bolts, damaged parts, foreign object adhesion, oil leaks, and wear. The robot's intelligent analysis system processes captured images, providing data support and standard references for fault determination.
After inspection tasks are completed, on-site data and high-definition images are simultaneously uploaded to a cloud platform, generating professional inspection reports. The platform can perform comparative analysis between current inspection data and historical data, track trends in train component wear, predict the progression of equipment aging and wear, and form an archive database. This intelligent inspection system establishes a complete operational chain of "intelligent inspection—data archiving—manual review—closed-loop handling."
The 2026 World Intelligence Industry Expo was held from May 28 to 31 at the National Convention and Exhibition Center (Tianjin). Tianjin Rail Transit Group showcased this intelligent inspection robot at the event, demonstrating its inspection capabilities and smart operation and maintenance achievements on site.
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