Intelligent Monitoring System Based on Spatio–Temporal Data for Underground Space Infrastructure

• DOI: 10.1016/j.eng.2022.07.016
• Publication Date: 2022-09-13T07:08:04Z
• Authors: Bowen Du; Junchen Ye; Hehua Zhu; Leilei Sun; Yanliang Du
• Keywords: 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

Intelligent sensing, mechanism understanding, and the deterioration forecasting based on spatio–temporal big data not only promote safety of infrastructure but also indicate basic theory key technology for construction to turn intelligentization. The advancement underground space utilization has led development three characteristics (deep, big, clustered) that help shape a tridimensional urban layout. However, compared buildings bridges overground, diseases degradation occur are more insidious difficult identify. Numerous challenges during service periods remain. To address this gap, paper summarizes existing methods evaluates their strong points weak real-world management. scientific issues, as well solutions, discussed in unified intelligent monitoring system.