Hydroinformatics

Digital twins for the water sector

'Digital twins' is the buzzword of recent years in many industries, including the water industry. The term is used to indicate digital representations (copies in some way) of physical systems. In some…

Hydroinformatics

Condition forecast for individual mains

The risk of pipe failure is one of the factors taken into account by drinking water utilities when they decide whether or not to replace water mains. They assess this risk on…

Hydroinformatics

Making Aquarellus applicable

Brown water accounts for a significant proportion of reports about water quality that Dutch drinking water companies receive from customers. To tackle the phenomenon, it is important to have an understanding of the movement and accumulation of…

Hydroinformatics

DMA fingerprint

Dutch water companies are increasingly setting up District Metered Areas (DMAs) that can be used to locate leaks in the mains and to learn more about what is happening in the mains. In this project, we will…

Hydroinformatics

Data validation implementation pilot

Poor data quality is frequently identified as one of the obstacles to the successful exploitation of data mining techniques (e.g., exploratory research into data mining), for example, for analyses, monitoring, process management…

Hydroinformatics

Fiware4Water

Fiware4Water is a three-year European research and innovation project, coordinated by the French Office International de l’Eau, links the water sector to the smart solution platform ‘FIWARE’ via demonstration projects in the water cycle. FIWARE makes it…