Train Defect Identification
The Compact Intelligent Train Inspection Robot is the most space-efficient model in our single-arm family series.Designed for mainte-nance depots with narrow working environments-such as EMU and urban rail depots with footboards-it enables rapid deployment with-out removing footboards,minimizing on-site civil modifications.
Train Defect Identification
ANL(Autonomous Navigation and Localization)
AI Model Application
Multi-Robot Collaboration
Adaptation to narrow scenes
Multi-modal component selection
• Mobility System: Four wheel, eight-drive configuration with 25° slope climbing capability.
• Obstacle Navigation: 50mm high cables, 140mm wide trenches, and depot obstacles.
• Trench Access: Dual entry modes compatible with trench ends and column spacing.
• Core Components: Full coverage of vehicle bodies, wheelsets, traction systems (primary and secondary components).
• Manual Inspection Benchmark: Comprehensive coverage rate of daily manual inspection items exceeds 93%.
• Electrical inspection comprehensive detection accuracy rate exceeds 95%.
• Specific Component Recognition:
• Loosened parts: ≥98%
• Missing components: ≥99%
• Foreign object detection: ≥95%
• False alarm rate: ≤3‰
• Metro Train Coverage: Undercarriage & both sides (1,200+ images per inspection).
• Cycle Time: Approximately 55 minutes for undercarriage and both sides.
• Total Identifiable Items: Over 10,000 inspection points.
• Site Preparation: Zero civil engineering modifications required.
• Implementation: Full system deployment within 1 month (including data collection and mapping).
• Train Positioning Accuracy: ±3mm (axle-specific positioning capability)
• Navigation Accuracy: ±5mm (industry-leading parking precision)
• Industry Leading Benefits: Enhanced recognition effectiveness and inspection efficiency through precision positioning