The project's goal is the development of a Smart Monitoring infrastructure which will improve the 4.0 industry, using the high-predictability mechanism to collect and analyse data.
SNIPE proposes an AI-based decision support system for predictive maintenance and monitoring of operation performance for better product quality and production capacity. The project has created a smart monitoring infrastructure made by an industrial-grade wireless sensor network solution plus an IoT Gateway with several connectivity options, which complies with state-of -art cybersecurity requirements; on top of this architecture an AI-based decision support system collects machine process data (temperature, engine vibration, etc.) from a IoT sensor network and then predicts maintenance on specific key processes.
Foundry and casting industry, manufacturing companies with big production plants and machinery
Start Date - End Date:
01/07/2020 - 30/06/2021
296 625,00 €
TRL Level at Start:
TRL Level at End:
Number of early adopters raised:
SUBSCRIBE to newsletter
Please subscribe to our mailing list to be the first one informed about the new open calls, events and other hot news!
Your have successfully subscribed to Trinity newsletter.