Sustainable decision support based on relevant data
AI and IoT for smart maintenance of societal infrastructures
Critical societal infrastructures such as water and sewerage networks, road networks and smart cities in general are network systems that can be monitored with IoT technology (Internet of Things). These IoT technologies collect huge amounts of data, making it difficult to analyze data and detect relevant phenomena.
With artificial intelligence (AI), however, this is made possible. How such an analysis can be carried out in a reliable way and sometimes in real time, raises fundamentally new research questions.
In this research project, we want to continue to develop the theory and algorithms for AI linked to IoT and its application to the drinking water network. We will use new AI algorithms to perform reliable data analysis. This makes it possible to increase the probability of detecting structural problems with leakage in the drinking water network.
KTH Royal Institute of Technology