Abstract: Problems such as lack of integration of geological information, lag of information feedback, and difficulty of remote decision-making restrict tunnel construction. Therefore, a Tunneling Safety Management and Intelligent Decision-Making System (TIS) is established using multi-technology integration and innovation methods such as big data, the Internet of Things, and artificial intelligence technologies. The system integrates functional modules such as geological information capture, dynamic optimization design, multi-objective construction organization, and entire-process control, as well as real-time perception, scientific decision-making, active service, and intelligent supervision, enabling a systematic integration of various geological data and prior information. The TIS was applied to tunnels of Linzhi-Linyi expressway in Shandong, China, and in-depth investigation is conducted on the intelligent interpretation of rock mass structure, dynamic change of surrounding rock grade, prediction of spatial distribution law of block collapse, targeted optimization design of bolt support parameters, and comparison analysis of change cost. The research results show that TIS successfully realizes the data integration of the entire process of tunnel construction, accurately predicts the disaster risk, effectively avoids the construction risk, and achieves remote control. The visualization platform provides intuitive and effective decision-making basis for tunnel project managers and front-line technicians, significantly improves the safety and management efficiency of tunnel construction, and provides innovative technical solutions and practical examples for the intelligent construction of tunnel engineering.

Key words: tunnel construction, digital control, dynamic changes, monitoring and early warning, design optimization