Research Project
s-X-AIPI: self-X AI for European Process Industry digital transformation
Empowering the European process industry with trustworthy autonomous AI technologies for the agile design, operation, and monitoring of circular plants, products, and value chains.
Where: international
Where: international
Challenge
s-X-AIPI is dedicated to researching, developing, testing, and experimenting an innovative toolset of custom, trustworthy autonomous AI technologies. These technologies aim to reduce human intervention through ML based control strategy, capable to optimise production, avoid downstream quality problems and ensure circularity of the value chain.
Approach
The s-X-AIPI toolset includes an innovative AI data pipeline with autonomic computing features (self-improving AI and autonomic manager), architecture, and realistic datasets. These datasets are accompanied by algorithms derived from real-world demonstrations in four process industry use cases: Pharmaceuticals, Asphalt, Steel, and Aluminum manufacturing.
Digital Ecosystem
Solution
Digital Ecosystem
s-X-AIPI envisages an open-source, modular, and composable solution that supports the application of autonomous AI technologies in a hybrid edge-cloud environment. This is aimed at providing existing process industries and their workers with operational agility, improved performance across different indicators, and state-of-the-art AI-based sustainability tools for the design, development, engineering, operation, and monitoring of their plants, products, and value chains. Engineering leads the design and implementation of the Reference Architecture based on open-source solutions such as FIWARE and designs, develops, and supports the validation of the Autonomic Manager.
The project has been co-funded from the European Union's Horizon Europe programme - Contract No. 101058715
Co-funded by the European Union. Views and opinions expressed are however those of the author(s) only and do not necessarily reflect those of the European Union. The European Union cannot be held responsible for them.
Results
AI for Process Industry Open Source Reference Architecture
Guidelines for trustworthy AI in process industry
AI Maturity Model for Process Industry
Toolset Application (Pharma, Asphalt, Steel, Aluminum).
Impacts
Technologies
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Cloud
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