Data-driven safety early warning system for underground construction
Dr. Ling Ma
Huazhong University of Sci & Tech (HUST)
© 2014, Dr. Ling Ma
HUST BIM center
Wuhan
Safety Early-warning System
Daily Inspection - Collecting data
Ma, L., Early Warning Analysis for Safety Risk of Metro Tunnel Construction Based on a Spatio-Temporal Model of Ground Settlement, China National Natural Science Funds for Young Scholar, $41,000, PI, 51408247, 2015-2017,
Semantic enrichment
Ma, L., H.B. Luo, and H.R. Chen, Safety risk analysis based on a geotechnical instrumentation data warehouse in metro tunnel project. Automation in Construction, 2013. 34: p. 75-84.
© 2016, Dr. Ling Ma
ETL-From Data to Information
For each settlement measurement
●Time of the measurement
●Position of the measurement
●Geological profile beneath the marker
●Tunnel face distance to the marker
Data Denoise
Ding, L., L. Ma, H. Luo, et al., Wavelet Analysis for tunneling-induced ground settlement based on a stochastic model. Tunnelling and Underground Space Technology, 2011. 26(5): p. 619-628.
Settlement Distribution
Ma, L., L. Ding, and H. Luo, Non-linear description of ground settlement over twin tunnels in soil. Tunnelling and Underground Space Technology, 2014. 42(0): p. 144-151.
Guo, J., L. Y. Ding, H. B. Luo, C. Zhou and L. Ma, Wavelet prediction method for ground deformation induced by tunneling. Tunnelling and Underground Space Technology, 2014. 41(0): p. 137-151.
Knowledge discovery from the data
The settlement trough width is correlated with the thickness of soil layers
The settlement trough width is time invariant
From Knowledge to Wisdom
By Ling Ma (Lorin)
Research Sharing - Ling Ma
Lecturer at the University of Huddersfield.