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唐源电气:给轨道交通运维装上“高速智能大脑”
Zheng Quan Ri Bao· 2025-12-26 16:46
Core Viewpoint - The article highlights the advancements made by Chengdu Tangyuan Electric Co., Ltd. in the field of intelligent operation and maintenance for rail transit, utilizing AI and robotics to enhance efficiency and safety in railway operations [1][2][3]. Group 1: Intelligent Operation and Maintenance - Tangyuan Electric has developed a comprehensive service system for rail transit that includes "intelligent perception - AI analysis - maintenance decision-making" [1]. - The "ShenYuan Big Model" significantly improves the efficiency of inspecting railway contact networks, allowing for early identification of potential defects and environmental hazards, thus enhancing safety [2][3]. - The application of the "ShenYuan Big Model" is expected to provide a replicable AI paradigm for the digital and intelligent transformation of railway power supply systems [2]. Group 2: Robotics Development - Tangyuan Electric has created a range of intelligent maintenance robots, including those for track inspection and tunnel inspection, which enhance the quality and efficiency of rail transit operations [4]. - The company has developed a smart maintenance robot for rail and fasteners that can accurately identify and track defects, significantly saving labor and improving maintenance efficiency [4][5]. - The company is expanding its portfolio of intelligent maintenance robots to cover various professional fields, including contact networks, tracks, tunnels, and vehicles [5]. Group 3: Industry Context and Future Outlook - As of the end of 2024, China's railway operating mileage is expected to reach 162,000 kilometers, with urban rail transit lines operating at 12,200 kilometers [6]. - The demand for operation and maintenance in the rail transit industry is experiencing significant growth, driven by aging equipment, a shortage of skilled labor, and rising labor costs [6][7]. - Tangyuan Electric aims to contribute to the intelligent development of China's railways by integrating AI and robotics into various engineering fields, enhancing safety and reducing operational costs [7].