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
Sustainable water infrastructures
Efficient and competitive
Support, prevent and improve
Innovative, fast and low risk
Cost effective and scalable
Advanced Management, Digital Twins and Prediction.
The ever-increasing demands on scarce water resources through population growth and climate change command data-led optimised management of assets.
ADASA’s advanced digital water management platform is a crucial solution to achieving that goal. The platform increases network visibility, facilitates predictive maintenance, and ensures faster response times to events such as leaks, bursts and operational failures as well as quality incidents and changes in water pressure.
The basis of the system is multi-faceted. Asset digitalisation defines critical assets; these assets feed online data to the platform, connecting via existing systems like SCADA (Supervisory Control And Data Acquisition) or by implementing Internet of Things (IoT) solutions. This intelligent and connected digital infrastructure model supports the planning, design, construction and operations of smart water networks as well as giving a virtual representation of physical assets and processes.
We can create a digital twin (a digital replica of the physical entity) to show how an entire system could work, and how different scenarios will affect the system. A library of digital twins allows the main parameters of critical assets to be customised, using existing twins’ templates or generating a new one if required.
The creation of a water system’s digital twin involves integrating virtual engineering models with network-scale reality models and Geographic Information System (GIS) data. We can create a real-time model for plant and network operations, continuously updated with virtual operational data from SCADA systems, sensors, meters, and other sources of measurements.
By incorporating a hydraulic/water quality model of the system to reflect current conditions, digital twins enable utilities to simulate events such as pipe failure, power outages, fires, and contamination.
The result is that our advanced digital water management platform helps managers analyse the resilience of their systems and assess potential risks. Potential leaks and water losses can be determined thanks to the continuous updating of digital twins with measurements and operational data backed by cloud-based event management. We combine this with big-data analytics and predictive algorithms to help translate data into actionable insights.
Assuring dam safety through high quality and timely data and analytics.
Reducing energy and improving effluent in wastewater treatment.
Service Cost Modelling
Goulburn-Murray Water Corporation
Using machine learning to reduce asset management costs without compromising service levels.