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PURPOSE
To implement an integrated methodology for the structured and systemic application of Artificial Intelligence in the ceramic manufacturing sector, with a focus on sustainability.
Typology: Experimental Development
Final Result: FR5 | Implementation of a supervised control system in predictive control over the process.
Responsible Partner: Sacmi
Duration: 24 months
Operative Units: Imola (BO)
DESCRIPTION
WP 5 focuses on the structured and systemic application of artificial intelligence techniques in the ceramic manufacturing sector.
The aim is to implement an integrated methodology to optimize energy performance indicators and promote sustainability.
Algorithms will be defined and trained to predictively control manufacturing process settings and improve sustainability indicators without compromising the quality of the final product.
The innovation is to shift from static rules to dynamic and adaptive logic, enabling a transformation of current plant logic.
ACTIVITIES
In order to achieve the purpose of the WP, the activities described below have been planned.
5.1 Production process mapping within the pilot plantMapping of all automatic, semiautomatic, and manual product production flows.5.2 Mapping of data to be collected in the pilot plantMapping of data for each machine and manual data.5.3 Implementation on pilot plant of data collection and processing infrastructurePreparation of data acquisition architecture.5.4 Attribution of data to product processing within the pilot plantDesign of the tracking system.5.5 Development and testing on batch/offline data of the algorithmic stack for objective predictive controlDevelopment of the prediction algorithms.5.6 Development and testing on online data of the algorithmic stack for objective predictive controlDefect prediction testing based on real-time collected data.
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