Intelligent Mining and Parallel Processing Technology of Tunnel Construction Data under Complex Geological Conditions. Issue 1 (October 2020)

• Record Type: Journal Article
• Authors: Si, Wei; Men, Yanqing; Ge, Zhenzhen
• Is Part Of: IOP conference series. Volume 580:Issue 1(2020)
• Publication Date: 2020-10
• Subjects: Earth sciences -- Periodicals; Environmental sciences -- Congresses; Environmental sciences -- Periodicals; 550.5
• DOI: 10.1088/1755-1315/580/1/012022
• Languages: English
• ISSNs: 1755-1307

Abstract

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.