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Intelligent Inspection of Evacuation Platform Based on Multi-technology Fusion
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Ru WANG, Duanyang CAI, Huafeng ZHUGE, Cong WU
Urban Rapid Rail Transit | 2026, 39(1) : 158 - 165
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Urban Rapid Rail Transit | 2026, 39(1): 158-165
• Intelligent Operation and Maintenance •
Intelligent Inspection of Evacuation Platform Based on Multi-technology Fusion
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Ru WANG, Duanyang CAI, Huafeng ZHUGE, Cong WU
Affiliations
  • Zhejiang Haining Rail Transit Operation Management Co., Ltd., Haining, Zhejiang 314400
doi: 10.3969/j.issn.1672-6073.2026.01.020
Outline
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Bolts on rail transit evacuation platforms are often concealed, making comprehensive manual inspection difficult and increasing the risk of loosening or detachment that could compromise operational safety. This paper proposes an intelligent inspection system integrating machine vision and laser scanning to achieve precise detection of bolt defects and clearance-intrusion trends. The system employs a dual-track autonomous robot equipped with a high-resolution camera and LiDAR, enabling comprehensive inspection through image recognition and point-cloud processing. First, high-resolution image acquisition combined with Adaptive Contrast Enhancement (ACE) is used to improve image quality. Optimized YOLOv11 and Mask R-CNN models are then applied for small-object detection and segmentation, enabling automatic identification of missing bolts, loose nuts, and insufficient bolt protrusion, with an accuracy of 94.4%. Furthermore, laser point-cloud modeling combined with a vector cross-product algorithm is employed to provide clearance-intrusion warnings with a precision of 2 cm. Field tests conducted on the Hangzhou-Haining Intercity Railway, across both elevated and tunnel sections, demonstrate an F1-score of 92.6% for bolt defect recognition and a 0% false alarm rate for clearance detection. The proposed system significantly enhances inspection efficiency and provides technical support for intelligent maintenance of rail transit infrastructure.

rail transit  /  machine vision  /  deep learning  /  laser point-cloud  /  clearance detection  /  evacuation platform
王儒, 蔡端阳, 诸葛华锋, 吴丛. 基于多技术融合的疏散平台智能巡检研究. 都市快轨交通, 2026 , 39 (1) : 158 -165 . DOI: 10.3969/j.issn.1672-6073.2026.01.020
Ru WANG, Duanyang CAI, Huafeng ZHUGE, Cong WU. Intelligent Inspection of Evacuation Platform Based on Multi-technology Fusion[J]. Urban Rapid Rail Transit, 2026 , 39 (1) : 158 -165 . DOI: 10.3969/j.issn.1672-6073.2026.01.020
Year 2026 volume 39 Issue 1
162
32
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doi: 10.3969/j.issn.1672-6073.2026.01.020
  • Receive Date:2025-02-18
  • Online Date:2026-09-20
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  • Received:2025-02-18
  • Revised:2025-11-06
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    Zhejiang Haining Rail Transit Operation Management Co., Ltd., Haining, Zhejiang 314400
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小菇科 Mycenaceae 2 12 5.74 丝盖伞属 Inocybe 5 2.39
多孔菌科 Polyporaceae 8 14 6.70 蜡蘑属 Laccaria 5 2.39
红菇科 Russulaceae 3 23 11.00 小皮伞属 Marasmius 6 2.87
小菇属 Mycena 11 5.26
光柄菇属 Pluteus 5 2.39
红菇属 Russula 17 8.13
栓菌属 Trametes 5 2.39
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