| Project name: | Cognitive production based on intelligent Energy, Quality and Maintenance Management |
| Website: | cognintel.ciirc.cvut.cz dih4cps.eu/experiment-14/ |
| Supported by: | DIH4CPS – European Union, Horizon 2020 |
| Project duration: | 03/2021 – 08/2022 |
| Budget: | Total budget: 179.500 € Support for CIIRC CTU: 36.000 € |
| Principal investigator at CIIRC: | Dr. Petr Kolář |
| Project Coordinator: | ERREDUE S.A.S. di Dallari Fabio & C. |
| Project Partners: | CIIRC CTU Scorta srl |
Annotation:
European industry has recognized the importance of Artificial Intelligence (AI) tools within the context of CPES (Cyber Physical embedded Systems) since they are the keys to provide excellent services, enriched customer knowledge and also exploit new business opportunities.
Cognitive production aids to achieve objectives associated with these issues concurrently providing high quality, high energy efficiency, high system availability, performance and cost effectiveness.
Cognitive production is enabled by AI techniques that extract value from information related to the on-line status of assets and deploy a decision-based self-learning platform able to react dynamically.
COGNINTEL application experiment aims to deploy AI-based decision making and control platform tailored to the machine tools industry to optimize their operations by enabling an holistic and intelligent Quality, Energy and Maintenance Management (QEM) approach.
It provides users and plant managers with the right tools to implement cognitive production by ensuring high production efficiency, high quality, minimising the use of resources while optimising maintenance strategies, avoiding safety related failures and minimizing process downtime.
