Intelligent Mining and Parallel Processing Technology of Tunnel Construction Data under Complex Geological Conditions

Abstract

In order to achieve the safe and rapid construction of tunnels under complex geological conditions, it is necessary to fully and timely grasp the key information to carry out effective safety control. Massive information and multi-source heterogeneous data have become the bottleneck for timely and accurate risk assessment. Thus, the utilization of advanced information technologies such as the Internet of Things and data fusion is one of the important ways to improve the safety risk control level of subway tunnel construction. Building risks have a prominent role. This paper builds a tunnel risk information database and uses data mining technology to realize the structured expression of tunnel multi-source structural safety information data and apply it to engineering practice with good results.

A technical study of advanced geological prediction of tunnels under complex geological conditions

“…In the case that he excavation length of tunnels is below 50 m, a geological radar is used for shortdistance prediction; in the case of the excavation length above 50 m, TRT7000 is used for long-distance prediction; when approaching adverse geological bodies, short-distance prediction methods such as geological radar are used to carry out detailed probing; when TRT7000 and geological radar are unable to make accurate assessment of the geological conditions ahead of a working face, advanced drilling should be made to ascertain the adverse geological tectonic conditions. Summarizing properties and scales of adverse geological bodies predicted [3][4][5].…”

Research on Intelligent Identification and Analysis Algorithm of Tunnel Engineering Geological Information

“…However, more research is needed on using ANNs in tunnel engineering. A tunnel hazards database is constructed by Si W. et al [12] using data mining technology to achieve the organized representation of tunnel multi-source structural security data, which is then successfully applied to the engineering field.…”