Guaranteeing sustainability
Managing critical water assets
Cost-efficient water-cycle services
Awareness & understanding
Increase food production
Welfare & healthy growth
Ensuring safe water
Access to timely water data
Reliable observation and forecasting
Information-based value
Efficient processes
Sustainable water infrastructures
Specialised advice
Efficient and competitive
Support, prevent and improve
Innovative, fast and low risk
Cost effective and scalable
Assuring dam safety through high quality and timely data and analytics.
Monitoring dam safety was a complex and costly operation with relevant data such as leakage, movement, and pressure collected by several organisations and stored in multiple systems and spreadsheets. Telemetry, manual inspections, survey, seismic, and weather data all have difference cadences of collection, processing logic and methods of analysis but all must be considered to gain an insight into the safety of a dam.
ADASA approach was to unlock the value inherent in the data by bringing it together into a data lake, automating data collection and quality assurance, building dashboards and alerts for rapid assessment and creating an analytical workbench for deeper modelling analysis.
DamGuard is a mobile and cloud web-based solution that has replaced the written surveillance sheets, capturing and storing in real or near real-time manual and SCADA information, allowing for immediate detection of events and generation of alarms. The system also contains an advanced data analytics framework for the complex analysis required in the risk-informed dam safety management.
Today, data that might have taken six weeks to be considered by an engineer can be viewed in minutes. Paper collection of data is replaced by an application running on smartphones. Time previously spent correcting errors, is now spent in analysis. The analytical workbench has opened a route to modelling and machine learning with the complete set of historical and cross-referenced data.
Today, data, a resource that was complex and costly to use, is the bedrock of a risk informed, data-driven decision support system for dam safety.
A 15% reduction in life safety risk has been estimated and reported for a sample dam due the implementation of DamGuard (Australian National Committee on Large Dams, Proceedings of Technical Groups, 2020, Hench Wang et al).
Headquartered in Sydney, Australia, WaterNSW is responsible for supplying the bulk water needs for the 7.5 million inhabitants of the state of New South Wales. Managing 42 dams, WaterNSW supplies two-thirds of water used in NSW and operates the largest surface and groundwater monitoring network in the southern hemisphere.
WRIMS
Goulburn-Murray Water Corporation
Increasing the quality and accessibility of water resource information.
Service Cost Modelling
Using machine learning to reduce asset management costs without compromising service levels.
Dam Safety Emergency Management
Several River Basin Authorities
Pre-emptive safety to protect people from flooding and dam failure.
