WaterInsights Sydney, Australia
Guadiana River IWRMS BADAJOZ, SPAIN

Digital solutions to solve the challenges of water management and strengthen weather services

Digital water expert and global leader in water, environmental and weather innovative technologies. We design solutions for water utilities and government agencies, harnessing the power of digital technologies to drive sustainability, efficiency and resilience.

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Engineering and System Integration

Efficient and competitive

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Sanitation Network Water Quality Monitoring

Real-time online detection and management of pollution episodes

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Some of our clients

ADASA has successfully provided solutions and services to a plethora of government agencies and utilities. We are pioneers at resolving the ever-increasing need to manage data and nurture its full potential and value efficiently.

ATL
BCASA
CANAL ISABEL II
WaterNSW
Goulburn-Murray Water
Mekorot
ACA
CH DUERO
CH GUADIANA
CH EBRO
CONAGUA
ApaNova
AEMET
SMC
National Center of Meteorology
Wessex Water
Murrumbidgee Irrigation
NSW DPIE

Australia

Adasa’s unique offering - specialists in both digital and water - made them the perfect technology partner for us. Their ability to interpret our problems broadly and then propose and build solutions we had not before considered, was critical to the success of a number of large and publicly visible projects at WaterNSW.

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Ian Robinson, Chief Information Officer - WaterNSW

Solutions


News


Dam Monitoring

ADASA uses Artificial Intelligence to improve dam monitoring and warning systems in New South Wales, Australia

Dam Monitoring

ADASA has developed a new methodology for analysing dam behaviour, using machine learning to support new alarm systems. Artificial Intelligence (AI) provides efficient data analysis that automatically creates analytical models to predict dam anomalies and generate reliable alarms, helping reduce the risk of potential dam failures.  
Our client, WaterNSW of Australia, had previously researched one of the largest dams in its New South Wales catchment area. We took this study and incorporated it into a new system comprising multivariate regression behavioural models, neural networks, and Random Forest algorithms to predict parameters such as head pressure and seepage.
We apply several unsupervised classification techniques to find anomalies at various dam locations:  


One-Class Support Vector Machine


Isolation Forest (anomaly detection)


Long Short-Term Memory (LSTM) or Large Short-Term Memory networks.


Our system now provides dam safety engineers with a new line of defence alarms, the ability to investigate anomalous situations more thoroughly, plus understand a dam’s long-term general tendencies and future health. At the base of this advanced alarm management system is data generated by DamGuard, ADASA’s dam safety monitoring system, installed at 42 large dams across New South Wales (Australia) in recent years. DamGuard has allowed WaterNSW to collate all its historical, inspection, and dam safety data in a single — and real-time accessible — cloud-based database. This powerful information tool facilitates immediate anomaly detection and alarm generation. According to a study presented by WaterNSW at the last Australian National Committee on Large Dams (ANCOLD), DamGuard’s installation has led to an estimated 15% reduction in safety risks.
ADASA’s pioneering work has strengthened its position as a leading provider of dam safety and management solutions. It also reinforces ADASA’s leadership in the development and implementation of dam safety monitoring systems in Australia.
WaterNSW, based in Sydney, is responsible for the supply of bulk water and the management of 42 dams across the entire state of New South Wales.


DAM MANAGEMENT

The Catalan Water Agency implements a system at the Darnius Boadella dam that facilitates its operation and automatic control

DAM MANAGEMENT

Automatic control on a dam valve using a mobile application. The work of technicians is facilitated and the need to physically access the dam for its operation is avoided.

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