Projectes de l'ICRA

The project digital-water.city (DWC) aims to boost the management of water systems in five major European cities – Berlin, Copenhagen, Milan, Paris and Sofia – by leveraging the potential of data and digital technologies. The ambition is to quantify and communicate the benefits of 15 innovative digital solutions compared to the current practices in place in European utilities. These solutions cover the whole range of innovative digital technologies, such as augmented reality, mobile technology, cloud computing, sensors, real-time monitoring, artificial intelligence, predictive analytics, modelling and open-source software.

https://www.digital-water.city.

European cities face major challenges to provide sustainable water services. Almost three-quarters of EU inhabitants live in urban areas and the trend is increasing. However, business-as-usual practices in the water and wastewater sector are not sufficient to provide sustainable services. The adoption of digital solutions represents an unprecedented opportunity to create new value and generate additional benefits that go beyond saving money and increasing the efficiency of investment allocation. As it now embraces digitalization, the water sector is transitioning from a historically conservative and risk-averse standpoint to one where it actively explores novel business models, shifts in governance frameworks and expanded technical capacities.

Within DWC, ICRA provides its technology of low-cost temperature sensors for real-time combined sewer overflow (CSO) and flood monitoring which are currently being deployed in Sofia, Berlin and Milan. Traditionally there has been a lack of reliable data on the occurrence of CSOs thus the new robust and affordable sensors developed by ICRA are very useful and in high demand to fill up this historical gap.

https://www.digital-water.city/solution/low-cost-temperature-sensors-for-real-time-combined-sewer-overflow-cso-and-flood-monitoring/

Digital-water.city has received funding from the European Union’s H2020 Research and Innovation Programme under Grant Agreement No. 820954