Open AccessIntelligent Mining and Parallel Processing Technology of Tunnel Construction Data under Complex Geological Conditions
Author(s) -
Wei Si,
Yanqing Men,
Zhenzhen Ge
Publication year - 2020
Publication title -
iop conference series. earth and environmental science
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.179
H-Index - 26
eISSN - 1755-1307
pISSN - 1755-1315
DOI - 10.1088/1755-1315/580/1/012022
Subject(s) - bottleneck , grasp , computer science , key (lock) , control (management) , information fusion , the internet , sensor fusion , risk analysis (engineering) , tunnel construction , construction engineering , data science , engineering , computer security , world wide web , software engineering , medicine , geotechnical engineering , artificial intelligence , embedded system
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.