Water losses in water distribution systems (WDSs) significantly contribute to economic costs and additional energy consumption. If leaks in the WDSs are not repaired in time, they may develop into breaks, which can lead to traffic interruptions, property damage and negative publicity for water utilities. In recent years, Internet of Things (IoT) technologies with distributed wireless acoustic sensors (e.g., accelerometers) have been increasingly adopted in water utilities to build smart water networks (SWNs) for detecting leaks. This project will develop advanced signal processing techniques, statistics-based and machine learning techniques using the IoT data to detect developing cracks in water networks.
- Student type: International, Domestic
- Research degree type: PhD
- Signature research theme: Sustainable Green Transition
- Supervisor: Dr Wei Zeng
