Predictedar
Design and development of an intelligent predictive maintenance system based on artificial intelligence tools for the critical components of urban wastewater treatment plants.
“New model for the predictive maintenance of WWTPs based on Artificial Intelligence. PREDICTEDAR Project”
Geographical area: Seville.
Duration: 1/Jan/2023 – 31/Oct/2024.
Investment: €254,860.00.
Co-financing CDTI (€51,584.94) and ERDF (€22,107.83).
Results: An intelligent solution has been developed that optimizes maintenance in WWTPs, anticipating failures and improving operational efficiency. Thanks to the use of artificial intelligence and predictive models, it is possible to make faster, more accurate decisions based on real data. A key step towards the digitalisation of the water cycle.
Motto: EUROPE IS FELT
In addition, this project has received funding from the Andalusian Technological Corporation (CTA)
Resulting incentive: 142,937.79
Reimbursable credit (92,909.56 €) and non-refundable funds (50,028.23 €).
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