Intelligent Monitoring System Based on Spatio–Temporal Data for Underground Space Infrastructure
Machine learning
Spatio–temporal data
Underground space infrastructure
0211 other engineering and technologies
02 engineering and technology
TA1-2040
Engineering (General). Civil engineering (General)
Structure health monitoring
DOI:
10.1016/j.eng.2022.07.016
Publication Date:
2022-09-13T07:08:04Z
AUTHORS (5)
ABSTRACT
Intelligent sensing, mechanism understanding, and the deterioration forecasting based on spatio–temporal big data not only promote the safety of the infrastructure but also indicate the basic theory and key technology for the infrastructure construction to turn to intelligentization. The advancement of underground space utilization has led to the development of three characteristics (deep, big, and clustered) that help shape a tridimensional urban layout. However, compared to buildings and bridges overground, the diseases and degradation that occur underground are more insidious and difficult to identify. Numerous challenges during the construction and service periods remain. To address this gap, this paper summarizes the existing methods and evaluates their strong points and weak points based on real-world space safety management. The key scientific issues, as well as solutions, are discussed in a unified intelligent monitoring system.
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