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

  • 25 Metro lines planned
  • >200 kilometers with >130 stations have been built since 2009
  • Yangzi river: longest river in Asia and the third-longest in the world
  • Chicago of China
  • 10.6 million people

Wuhan

© 2014, Dr. Ling Ma 

Safety Early-warning System

© 2014, Dr. Ling Ma 

HUST BIM center

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,

© 2014, Dr. Ling Ma 

HUST BIM center

Semantic enrichment

© 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

© 2014, Dr. Ling Ma 

HUST BIM center

Data Denoise

© 2014, Dr. Ling Ma 

HUST BIM center

Settlement Distribution

© 2014, Dr. Ling Ma 

HUST BIM center

Knowledge discovery from the data

The settlement trough width is correlated with the thickness of soil layers
The settlement trough width is time invariant

© 2016, Dr. Ling Ma 

From Knowledge to Wisdom

© 2014, Dr. Ling Ma 

HUST BIM center

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