在“地质博物馆”里智能掘进（工匠绝活·我在重大工程一线）

Core Viewpoint - The successful completion of the Xiling Tunnel, a key project of the Xi'an to Shiyan high-speed railway, marks a significant advancement in construction technology and safety measures in high-risk geological environments [4][5][12]. Group 1: Project Overview - The Xiling Tunnel is the longest Class I high-risk tunnel in China's high-speed rail network, with a total length of 36.115 kilometers [5][12]. - The tunnel construction faced complex geological conditions, including six types of surrounding rock, two large faults, and various geological hazards such as water inrush and soft rock deformation [5][12]. - The project commenced in March 2022 and is expected to be completed by April 2025, with the railway operational by June 2026, significantly reducing travel time between Xi'an and Shiyan to one hour [13]. Group 2: Innovative Construction Techniques - The construction team employed a digital construction system, utilizing BIM modeling and drone technology to create a high-precision digital tunnel model [5][6]. - Advanced machinery, including intelligent lining machines and robotic welders, were integrated into the construction process to enhance efficiency and safety [5][6]. - A smart pressure-sensing system was used in the construction of shallow sections, reducing the overconsumption of sprayed concrete by 40% and minimizing collapse risks [6]. Group 3: Safety Measures and Emergency Response - A comprehensive emergency response mechanism was established, allowing for a rapid evacuation process that took only 12 minutes during a water inrush incident [10]. - The project implemented a monitoring system with 50 optical level instruments to detect minute displacements, ensuring real-time safety assessments [9][10]. - The team developed a "three-step" micro-seismic blasting technique to address measurement challenges in tight spaces, enhancing safety and precision [9]. Group 4: Technological Advancements - The use of a 3D laser scanner significantly improved the efficiency of cross-section data collection, allowing for real-time adjustments to blasting parameters [8]. - A "three-in-one" intelligent detection system was created to analyze geological conditions, combining geological radar and seismic wave methods for accurate predictions [8]. - The project achieved a remarkable relative closure error of 1/256800, setting a new standard for precise measurement in complex tunnel construction [9].