为解决隧道施工中地质信息集成欠缺、信息反馈滞后及远程决策困难的问题，采用多技术融合创新的方法，基于大数据、物联网与人工智能技术构建“隧道施工全过程安全管控与智能决策系统（TIS）”。该系统整合地质信息捕捉、动态优化设计、多目标施工组织及全工序过程管控等功能模块，将即时感知、科学决策、主动服务与智能监管集于一体，实现对各类地质数据与先验信息的系统整合。随后将TIS应用于山东临临高速等隧道工程实践，对岩体结构智能解译、围岩等级动态变更、块体垮塌空间展布规律预测、锚杆支护参数靶向优化设计以及变更成本比对分析等方面进行深入探究。研究结果表明，TIS系统成功实现隧道施工全过程的数据集成，能精准预测临灾风险，有效规避施工风险并达成远程管控。通过可视化平台为隧道项目管理人员与一线技术人员提供了直观有效的决策依据，显著提升了隧道施工的安全性与管理效率。
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.
