Singapore Eco Lab

This project aims to address the issues concerning the aging infrastructure of the Housing and Development Board (HDB) housing estates in Singapore. The aging infrastructure has caused them to be more susceptible to faults and breakdowns. We deploy our research and strategies in collaboration with the Chemical Engineering and Civil Engineering Department at Imperial, as well as with the Agency of Science and Technology Research (A*Star) in Singapore across 6 different applications: pneumatic waste conveyance systems (PWCS), water pipelines, lifts, urban water management, electrical grid and communication networks. This project is funded by Land and Liveability National Innovation Challenge (L2NIC) Research Programme Singapore.

Pipeline Sensing and Visualisation of Defects

Main Contributors:

AESE, Department of Computing at Imperial

Pipe Performance Modelling for Preventive Maintenance

Pipeline Testbed for Structural Analysis of Defects in Singapore

Urban Water Management

Main contributors:

  • Chemical Engineering Department at Imperial
  • AESE, Department of Computing at Imperial: Dr Cong Zhao

Urban Water Harvesting Tank

Machine Learning based Rainfall Prediction

Odour Sensing and Dispersion Modelling

Main contributors:

  • Chemical Engineering Department at Imperial
  • A*Star Singapore

Odour Sensing at Waste Collection Centre

Odour Dispersion Modelling

Lift Fault Sensing

Main contributors:

  • Chemical Engineering Department at Imperial

Lift Preventive Maintenance Scheme

Data Collection at Housing Estates

Electrical Grid

Main contributors:

  • Civil Engineering Department at Imperial

Electrical Grid Demand Response Modelling