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Track Ⅱ

Non-destructive Testing and Intelligent Operation & Maintenance of Infrastructure
基建设施无损检测与智能运维
Submission Deadline: September 30, 2026
 
Chair:

 

Guangyan Cui

Beijing Mass Transit Railway Operation Corporation Limited, China

 

 

Keywords:

· Rail Transit (轨道交通)
· Ground Penetrating Radar(GPR) (探地雷达)
· Artificial Intelligence (AI) (人工智能)
· Image Recognition (图像辨识)
· Non-destructive Testing (NDT) (无损检测)
· Highway Tunnel (公路隧道)
· Operation and Maintenance Decision (运维决策)

 

Topics:

· Research on hidden defect detection of tunnels using ground penetrating radar (探地雷达隧道隐蔽病害检测研究)
· Research on Non-destructive Testing Methods for Expressway Infrastructure (高速公路基础设施无损检测方法研究)
· Research on Image Recognition Methods Based on Deep Learning Algorithms (基于深度学习算法的图像辨识方法研究)
· Research on intelligent operation and maintenance decision methods for rail transit (轨道交通智能运维决策方法研究)
· Research and development of operation platforms driven by multi-source testing data (多源检测数据驱动的运维平台研发)

 

Summary:

This forum focuses on cutting-edge research in non-destructive testing and intelligent operation & maintenance of infrastructure, with discussions centered on transportation infrastructure such as highway tunnels and rail transit. It prioritizes exchanges on theories and technologies including ground penetrating radar (GPR) non-destructive detection technology, artificial intelligence image recognition, and operation & maintenance decision optimization. Its research scope covers structural defect identification, detection algorithm development, facility risk assessment, and intelligent operation & maintenance management and control. The forum aims to bring together scholars and engineering technicians from home and abroad to share the latest research achievements, and advance theoretical innovation and engineering application of non-destructive testing and artificial intelligence technologies in the operation and maintenance of transportation infrastructure.

 

本分论坛聚焦基建无损检测与智能运维前沿研究,围绕公路隧道、轨道交通等交通基础设施开展研讨。论坛重点交流探地雷达探测无损检测技术、人工智能图像辨识、运维决策优化等相关理论与技术;涵盖结构病害识别、检测算法研发、设施风险研判、智能化运维管控等研究方向,旨在汇聚国内外学者、工程技术人员交流最新成果,推动无损检测、人工智能技术在交通基建运维领域的理论创新与工程应用。