Group 1: Prefabricated Construction in Underground Spaces - Prefabricated construction is being increasingly applied in underground spaces, previously mainly used for above-ground buildings, enhancing efficiency and sustainability [1] - The example of the Guohua Station on Shenzhen Metro Line 22 illustrates that prefabricated construction can reduce the workforce from 150 to 32, shorten construction time by approximately 30%, and decrease construction waste by over 80% [1] - Carbon emissions are reduced by more than 40% compared to traditional methods, achieving green, low-carbon, and quality-enhancing goals [1] Group 2: Addressing Geological Uncertainties - The development and utilization of underground spaces face geological uncertainties, which are being mitigated by advanced technologies [2] - The Muon Imaging technology provides detailed geological feature detection, acting as a "perspective eye" for underground construction, identifying hidden voids and weak strata [2] - A range of intelligent equipment, including autonomous detection vehicles and integrated smart tunneling machines, is transforming construction from traditional methods to intelligent manufacturing [2] Group 3: Intelligent Operations for Efficient Management - As of the end of 2024, 58 cities in mainland China will have operational urban rail transit systems, necessitating efficient management of these systems [3] - The development of artificial intelligence technologies presents new opportunities for metro operations, exemplified by the first mobile intelligent heavy-load repair robot for rail transit developed by the China Railway Science Research Institute [3] - In Shenzhen Metro, drones conduct automatic inspections, and high-precision cameras record inspection data, achieving a fault detection rate of over 93% for rail vehicle components through deep learning and AI technologies [3]

Group 1: Prefabricated Construction in Underground Spaces - Prefabricated construction is being increasingly applied in underground spaces, previously mainly used for above-ground buildings, to achieve green construction [1] - The example of the Guihua Station on Shenzhen Metro Line 22 shows a reduction in workforce from 150 to 32, a construction time shortening of about 30%, over 80% reduction in construction waste, and a carbon emission reduction of over 40% compared to traditional methods [1] Group 2: Addressing Geological Uncertainties - The use of advanced equipment like the muon imaging device allows for precise geological feature detection, providing critical decision support for safe construction [2] - The integration of automated systems and intelligent technologies is transforming subway construction from traditional building methods to intelligent manufacturing [2] Group 3: Intelligent Operations for Efficient Management - By the end of 2024, 58 cities in mainland China will have operational urban rail transit systems, making efficient operation a key challenge for many cities [3] - The development of artificial intelligence technologies presents new opportunities for subway operations, such as the autonomous repair robot developed by China Railway Scientific Research Institute [3] - In Shenzhen Metro, drones and high-precision panoramic cameras are used for automatic inspections, achieving a fault detection rate of over 93% for rail vehicle components [3]

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]

新华社深圳8月22日电（记者毛思倩、陈宇轩）记者22日从深圳地铁集团获悉，该集团近年联合华北电 力大学、西北工业大学深圳研究院，将缪子成像技术深度融入到多条地铁、城际铁路等轨道交通线路施 工全流程中，如同为盾构隧道拍"CT"一样，为我国轨道施工地下空间探查及灾害防控提供了新的思路 和方法。 缪子是一种基本粒子，宇宙射线里的高能缪子可以穿透岩石和金属，揭示地下世界的秘密。深铁集团工 程技术中心负责人介绍，缪子成像具有穿透能力强、空间分辨率高等特点，可根据不同地层密度区对缪 子的吸收差异特性进行成像，能应用于地下深层结构密度缺失区探测，就像"天然的地质探针"，帮助工 程技术人员看清地表之下的结构。 中国科学院高能物理研究所研究员、中国散裂中子源缪子源实验站负责人鲍煜表示，近年来，缪子成像 技术日益成熟，利用该技术进行内部结构的勘探就是其重要的应用场景之一，在采矿、地铁建设方面可 以发挥重要的作用。 据有关负责人介绍，该技术的应用源于2024年初深圳地铁16号线共建管廊项目在施工中遭遇难题：面对 近20米厚的复杂地层与交错密布的地下管线，传统钻探勘探仅能覆盖浅层区域，难以探明深层地质全 貌。为了破解"地下迷局"，深 ...