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.
JIANG Feng
,
HE Peng
,
WANG Gang
,
LI Weiteng
,
GAO Yongqing
,
ZHENG Chengcheng
. Development and Engineering
Application of a Safety Management and Intelligent
Decision-Making System for Entire Tunneling Process[J]. Tunnel Construction, 2024
, 44(S2)
: 266
-285
.
DOI: 10.3973/j.issn.2096-4498.2024.S2.027
