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Digital water

Case

Digital water

Artificial intelligence to reshape the water infrastructure

The water sector collects huge amounts of data that is used for forecasting, monitoring and decision-making. However, by incorporating artificial intelligence and big data technologies into existing systems, the sector can extract much more information and value from this data.

By deploying artificial intelligence, the water sector can make much better use of its data for modelling, predictive maintenance, monitoring and automation.

In this project, we collaborate with DHI on the development of solutions based on artificial intelligence and big data technologies to optimise the complex water infrastructure.

The project is named Digital water, and our role is to develop and test technology components that can be incorporated into existing systems and models in the water sector.

This will have a wide range of benefits to society, such as more efficient climate adaptation and better use of resources. Furthermore, Danish tech companies will be able to use the results from the project to create new business opportunities and venture new markets. 

Project activities include:

Organisation of workshops to identify needs in collaboration with companies in the target group.

Selection of case studies for the development of technology components, incl. test and demonstration.

Development of technology components and services for:

  • automated detection of faults and abnormalities in water systems
  • predictive modelling
  • optimised water infrastructure
  • automated monitoring and control of water infrastructure

In addition, we organise knowledge dissemination activities for small and medium-sized enterprises that participate in the project – for example through dansk.ai, which is headed by the Alexandra Institute.

The Alexandra Institute contributes expertise in machine learning, artificial intelligence, big data, optimisation, IoT as well as software development.

We will develop machine learning models based on data from the existing numerical models that DHI has been using until now. The input for these models will be more or less the same as for the existing models. However, data from other sources will be used as well.

The innovative aspect is that we will use machine learning techniques to process data instead of using handwritten equations. DHI provides domain expertise and data, and the Alexandra Institute develops the machine learning models. Furthermore, we will look into the possibility of adding new data sources – for instance by collecting data with different sensor types.

Digital water creates innovation and value by combining new digital technologies with existing modelling tools.

The target group is advisers, small and medium-sized tech companies and start-ups who will get an opportunity to build on and integrate the new smart components into their existing solutions.

With these innovative solutions, Denmark will further strengthen its position as a digital first mover.  In addition, Danish companies will be able to seek out new export markets due to a growing global demand for digital water technologies.

Moreover, the results of the project will benefit end users, such as water utilities, harbours, municipalities, shipping companies and the offshore wind industry.

Digital water is a strategic project funded by the Danish Agency for Institutions and Innovation Fund Denmark.

Project partner: DHI (project lead)

We also collaborate with the Smart Water Networks project CHAIN to capture synergies.

We can help you exploit the opportunities of using artificial intelligence to develop smart water solutions.

Contact
Manager – Intelligent Sustainability
People, Technology and Business Lab
+45 30 23 66 22
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