Digitalisation is a term and process that is frequently stumbled upon in business settings. At its core, one could argue that digitalisation refers to the use of digital technologies to provide new valuable and important opportunities. But how does digitalisation play a role in the operation of wastewater treatment plants (WWTPs)? Which positive impacts can digitalisation have on the Water Industry? Continue reading “Wastewater treatment: How can Digital Twin modelling play a crucial role in WWTP operations?”
Today, cities all over the world are dealing with a range of global pressures, such as rapid urban growth, severe climate changes and aging infrastructure to provide safe and resilient water supply, collect sewage, secure a minimum spill of untreated water and reduce risks of flooding. Because of these challenges, cities experience difficulties in finding efficient and sustainable ways to manage water. Continue reading “Why an integrated approach is the key to unlocking value in urban water management”
As water is seen as one of the world’s most precious resources, providing enough water with appropriate quality and quantity may be considered as one of the most important challenges in human history.
The world is, as we speak, experiencing serious growth in urban population. Together with water scarcity due to climate changes, this creates massive challenges for urban water management. Continue reading “Water distribution: How new technologies can help preserve and improve drinking water quality”
Defining its role in providing real customer value
The concept of the Digital Twin is increasingly entering the Water Sector as an innovation driver. More than ever, its role in bringing value to operators is being highlighted by industry professionals around the world.
What is a Digital Twin? A Digital Twin is a computer model that virtually reflects and simulates a real object, its environment and interaction, providing a picture as accurate as possible of how that object behaves in real time. This could be a water treatment plant, where the Digital Twin includes process models to simulate the treatment steps, physical assets (e.g. pumps) represented in CAD, and performance models to optimise resources (e.g. energy usage).
Unsure about the similarities and differences between artificial intelligence, machine learning and deep learning? This blog post introduces the quick basics. Continue reading “The very basics of artificial intelligence, machine learning and deep learning”