Abstract: To address the challenges in railway tunnel construction using the drilling and blasting method, including long process chains, diverse equipment types, decentralized information, and experience-dependent quality and safety control, an intelligent construction system and its supporting management platform are developed. Focusing on key processes such as excavation, mucking, support, invert, waterproofing, secondary lining, gutter construction, and inspection and maintenance, a collaborative framework integrating equipment, processes, and the developed platform is established. The study identifies the functional positioning, operational boundaries, and interrelationships of 12 core equipment types and clarifies the mapping between equipment configuration and process organization. For equipment integration, status sensing, operational parameter acquisition, multisource data collaboration, and decision support, methods for onsite data collection, standardized access, process correlation, and platform interaction are developed. Furthermore, an intelligent construction management platform based on building information modeling, geographic information systems, and Internet of Things technologies is designed. The main research conclusions are as follows: (1) The developed system supports process management, including drilling positioning, overbreak and underbreak analysis, quality control, lining curing, and process handover. It facilitates real-time aggregation and correlation analysis of equipment status, construction parameters, quality inspection data, and risk information. (2) The developed platform enables dynamic visualization of key construction processes, anomaly identification, and auxiliary scheduling, alleviating issues such as information lag, poor process connectivity, and inadequate management feedback. (3) Its application in the Longquanshan Tunnel of the Chengdu-Chongqing central high-speed railway shows that the developed system realizes fully mechanized, automated, and intelligent collaborative operation of core construction lines, including tunnel excavation, support, and lining. It greatly improves construction efficiency and engineering quality, with a maximum monthly advance rate of 137 m for a single working face. The drilling time for a single hole is reduced by 70% compared with conventional drilling and blasting, and the requirement for excavation workers is reduced by 40%, significantly lowering safety risks and labor intensity for onsite personnel.

Key words: railway tunnel, drilling and blasting method, full process, intelligent construction, management platform