AguAlearn
Resumo do proxecto
AguAlearn has developed an innovative early warning platform for the quality of groundwater in the Llobregat delta area for its supply. The developed platform identifies, on the one hand, the most suitable flow to minimize the entry of contaminants from data analysis with machine learning. On the other hand, it is capable of predicting the presence of specific contaminants based on salinity data and operating parameters, which are available in real time. This tool is based on the IML Artificial Intelligence code developed by Amphos 21 and allows relating variables to predict the presence of minority pollutants. The code has been integrated into an early warning platform, developed by HYDS, which identifies alert situations and generates notices to previously selected users. This platform connects real-time data and analytics with artificial intelligence software.
Datos do proxecto
Catalan Water Parternship (CWP)| Aigües del Prat| AMPHOS 21
Catalan Water Parternship (CWP)| Aigües del Prat| AMPHOS 21