The combination of virtual data, produced by VEs, and real measurements is crucial for the digitalisation of industry and metrology. The aim of WP1 is to specify what is needed in order to evaluate the uncertainty associated with real measurements when using VEs, to assess state‑of‑the‑art uncertainty quantification methods for this purpose, and to carry out their further development. JCGM:GUM‑compliant methods as well as methods based on Bayesian inference will be used. The work will be performed in conjunction with three real‑world applications (tilted‑wave interferometer (TWI), coordinate measuring machine (CMM) and flow measurement (FLOW)).
The aim of this work package is to develop a task-specific method to evaluate the measurement uncertainty of DTs. Four DTs of state-of-the-art and industrially relevant measurement systems will be developed along with holistic strategies to evaluate the measurement uncertainty and metrological characteristics of the DTs. The measurement uncertainty will be complemented with a methodological and definition framework to allow it to be scalable, portable and applicable in other case studies.
The aim of this work package is to develop approaches to validate the VEs and DTs of the applications presented in WP1 and WP2, and to develop and validate surrogate models, either to account for errors in the models, or to replace the computationally expensive VE/DT in setups where fast simulation results are required (e.g. CFD). The validation of VEs and DTs is fundamental for their deployment in industry and metrology because it ensures trust in the results that are obtained. Differences between calibrated standards, or measurement data obtained with calibrated instruments, and the corresponding data from the virtual counterpart will be analysed by statistical procedures for the applications presented in WP1 and WP2. A GPG on the validation of VEs and DTs will be developed based on the knowledge acquired in the different applications.
VEs and DTs have garnered significant interest in all industrial sectors over the last few years as the Internet of Things has become more and more pervasive. It corresponds with the first policy recommendation of the EC which is promoting digital and green transformations. Therefore, the aim of this work package is to apply both the VEs and DTs, which are associated to certified methods for uncertainty estimation, to twelve industrial case studies (five case studies on VEs and seven case studies on DTs). These were selected in close consultation between the participants and potential industrial stakeholders in order to demonstrate the practical application of the developed methods.