Engineering Innovation in
Digital Industry
Empowering the European process industry with trustworthy autonomous AI technologies for the agile design, operation, and monitoring of circular plants, products, and value chains.
Approach & Solution
Approach
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.
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.
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.
Solution
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
Results
Toolset of self-X AI technologies
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).
Project value
Process performance
Innovation
Enabling Technologies
IoT
AI Advanced Analytics
Cloud
Project Team
Research & Innovation