Chips JU 2023 RIA MATISSE

Purpose and goal

Advances in information technology have made industrial systems more intelligent and autonomous, raising demands for correctness, availability, and reliability. Digital twins, virtual representations of systems, help with real-time prediction, analysis, and simulation. The MATISSE project addresses the complexity of developing digital twins by automating their creation, ensuring validation, and developing a toolchain for verification, aiming to enhance efficiency and quality in industrial systems.

Expected effects and result

The MATISSE project focuses on six objectives: 1) creating a cloud framework to automate Digital Twins (DTs), 2) developing a continuous validation strategy for DTs, 3) building domain-independent DT services for prediction and monitoring, 4) creating demonstrators to showcase practical results, 5) fostering open-source and commercial tool development, and 6) advancing the Digital Industry with an innovative research agenda and work plan.

Planned approach and implementation

The MATISSE project follows the Plan-Do-Check-Act methodology for continuous improvement. It ensures smooth project group interactions through DevOps-like strategies. The project identifies requirements, develops methodologies and tools, and validates deliverables in an iterative process. Key work packages (WP) include: WP1: Use cases and architecture setup WP2: Digital Twin engineering and validation WP3: Verification, validation, and smart prediction services WP4: Integration and use case evaluation WP5: Dissemination and exploitation WP6: Project management.