WP2: Optimisation and evaluation of detection methods

This work package focusses on the creation of DTs for MVSs, the identification of the parameters of the DTs, followed by their validation, and uncertainty assessments. DT is a strategic key enabling technology targeting zero-defect production (manufacturing, assembly, pin-picking, etc.) processes and zero-waste within the current interconnected Industry 4.0 framework.

• Task 2.1 will create DTs for the selected and newly developed traceable MVSs from WP1 based on physical and data AI-driven models and an understanding of system operation.
• Task 2.2 will enable approaches for the calibration and data enrichment of the DTs created in Task 2.1 and the formulation of demonstrated approaches for uncertainty evaluation based on the consideration of different components of the DT, i.e., the P2V (physical to virtual) and the V2P (virtual to physical) connections, as well as the fidelity and the DT parameters. GUM-compliant uncertainty evaluations may not be appropriate, therefore the implementation of additional approaches (e.g. Monte Carlo, Bayesian, etc.) will be adopted.
• Task 2.3 will develop an optimised measurement strategy in terms of the scanning trajectory for the selected MVS from A1.1.1 – A1.1.12.
• Task 2.4 will develop robust approaches for validating the DTs created in Task 2.1 to Task 2.3 based on a robust reference data generator and the datasets produced.

WP leader: Dr. Teir Linus (VTT) – Linus.Teir@vtt.fi