Intelligent PREdictive Maintenance for Aquaculture Systems
Intelligent PREdictive Maintenance for Aquaculture Systems is a research project aiming to improve the performance of aquaculture farms by introducing a novel platform and service for Intelligent predictive maintenance. The platform is based on innovative monitoring systems and smart infrastructure, relying on machine learning and artificial intelligence techniques.
The platform measures key parameters in real-time introducing innovative multisensor gauges which feed a chain of ML models for Time Series Forecasting (TSF), Anomaly Detection (AD), Fault Classification (FC) and Remaining Useful Life (RUL) estimation. The measurements give the current health status of the farm site while the forecasts provide a glimpse of future status; analysis of the predictions allows to identify the potential need for preventive/corrective maintenance.
A cloud-based integration of the different components of the platform allows to improve connectivity and optimize the business process which lets the farmers benefit from a tailor-made Software as a Service solution. The SaaS approach empowers the aquaculture farmers by providing a digital twin of their facilities ‘in their pocket’.
The new service gives farmers real-time access to the current health status of the farm and facilitates them planning activities and measures based on the forecasted status. In the end, the iPREMAS pursues cutting M&O costs for the farmer and gives additional tools for reducing negative effects on the environment in case of a calamity.
CONSORTIUM:
P1
HAEDES BV
Houtstraat 72A, B9070 Destelbergen, Belgium
http://www.haedes.be/
P2
Beia Consult International (BEIA)
Peroni 16, Bucharest, 041386, Romania
http://www.beia.eu/
P3
National Institute for Laser, Plasma and Radiation Physics (NILPR)
Atomistilor Street, No. 409, Magurele city, Ilfov county,
Postal code: RO-077125, Romania
http://www.inflpr.ro/