深圳地铁的“智变”密码

Core Insights - Shenzhen Metro Group has showcased innovative technologies such as muon imaging and intelligent repair robots, enhancing safety and efficiency in tunnel construction [1][2] - As of the end of 2024, there are 58 cities in mainland China with urban rail transit, totaling over 12,000 kilometers of operational track, with Shenzhen ranking fifth in operational mileage [1] - Shenzhen's metro network has been built and operated at a high level over the past 20 years, driven by innovation and the adoption of smart technologies [1] Technological Innovations - The muon imaging device developed by Shenzhen Metro Group and universities can detect geological features and provide critical decision support for safe construction [2] - The world's largest rectangular shield tunneling machine, "Dayu Juejin," has been deployed in Shenzhen, utilizing multiple smart technologies to enhance urban construction solutions [2] - The first automatic driving system detection vehicle in China has been fully applied in Shenzhen's metro lines, significantly improving construction efficiency and safety [2] Smart Operations and Maintenance - The Gangxia North Station, the largest single rail transit project in China, features advanced smart technologies such as real-time crowd monitoring and facial recognition for ticketing [3] - At the Science Museum Station, drones and high-precision cameras are used for automated inspections, achieving a fault detection rate of over 93% for rail vehicle components [3] - The Ministry of Transport and other departments have issued guidelines for the widespread application of artificial intelligence in the transportation sector by 2027, aiming to establish a comprehensive AI model system [3] Future Opportunities - The introduction of a mobile intelligent heavy-load repair robot system in Shenzhen Metro represents a transformative opportunity for high-density rail transit cities [4] - Shenzhen Metro is expected to become a source of new scenarios and demands for smart operations and maintenance, driving the development and application of artificial intelligence technologies [4]