Product
e-Favor an AI powered real time water leak detection and localisation solution
100% accuracy & success rate for a UK & EU water company Detects smallest leaks (< 1L/s flow rate) Handle uncertainties (headloss <= 2mm)
Senior Lecturer
De Montfort University
Leicester, United Kingdom
- Automated sensor placement planning - Big sensor data analysis for water management, e.g. 100% success rate in water leak localisation in UK since 2010
Dr Kegong Diao is a researcher in Urban Water Management and is the current leader of the Water Software System group founded in 1980 at De Montfort University. His research there mainly focuses on decoding complexities in water infrastructure systems. His recently awarded Royal Academy of Engineering Industrial Fellowship project will exploit the new smart system era to create an innovative sensing and modelling approach for the next generation of water distribution systems. This will create radical impacts in the water industry for the evolution of water distribution systems modelling, monitoring and control. The project outcomes will contribute to the development of Advanced Metering Infrastructure (AMI) for water-use efficiency towards sustainable living in a digital society.
Dr Diao is the conference chair of the 19th Computing and Control for the Water Industry Conference. He serves as the editor of the Institution of Civil Engineers (ICE) Engineering Sustainability journal, editor of the International Water Association (IWA) Water Supply journal and was the outstanding reviewer in 2015 for the Water Research journal.
Product
e-Favor an AI powered real time water leak detection and localisation solution
100% accuracy & success rate for a UK & EU water company Detects smallest leaks (< 1L/s flow rate) Handle uncertainties (headloss <= 2mm)