In recent years, several utilities have boosted their embrace of digital technology including IoT sensors, cloud computing, and machine learning applications. These fundamental technologies serve as the foundation for transforming how we use the hydraulic model. The increased processing capacity of cloud computing makes it possible to run the model in continuous mode, and the model may be calibrated to behave like the real system with continual “pairing” of near-real-time operational data from the physical system. This is regarded as a digital twin by some.
What Is A Digital Twin And How Does It Work?
Digital twin technology is being employed in a variety of industries, including manufacturing, medical, transportation, and utilities. Then there’s the water sector. I believe the water industry has been reluctant to implement digital twins because the above-mentioned building blocks have just lately been accepted.
Hydraulic models are being used by most utilities for engineering and planning purposes. Many mathematical assumptions are utilised as inputs to the models, which are often performed in batch mode. To convert to digital twin capabilities, utilities will need to move to continuous real-time hydraulic models and calibrate the digital twin by combining data from real-time sensors, metres, SCADA, weather, and other sources.
What Would Be The Biggest Implications On Water Utilities As A Result Of The DigitiSation Of Water?
What Are The Major Digital Water Trends Over The Next Ten Years?
What Is The Key Question That Water Experts Will Have To Face In Terms Of Digitisation?
Data analytics, cloud computing, augmented intelligence, and blockchain is examples of Internet of Things (IoT) technologies that provide us new powers to analyse, automate, correct in the real-time, forecast, and minimise risks. They can assist water and wastewater utilities with a variety of issues, such as extending the life of ageing assets, reducing leaks, attacks, and other abnormalities in the distribution network, improving water quality monitoring, service levels, and supply reliability, promoting water conservation, and increasing revenue through operational efficiencies. While digital adoption is increasing in the water industry, it still lags behind other industries in terms of integrating new, smart technology into the entire water environment.