We present automatic generation of Digital Calibration Certificate for a set of weights calibrated using a Robotic Mass Comparator operating in the mass range from 1 mg to 10 g. The tool features a Graphical User Interface that streamlines the processing of Digital Calibration Certificate from the automatically extracted and organized data in the calibration reports and the most recent calibration certificates of the reference standards and test weights adhering to relevant international recommendations, standards and guidelines. This user-friendly and highly automated software application represents a substantial advancement in the mass subfield of modern metrology in terms of handling large volumes of calibration data with minimal intervention.

Accurate modelling is important for both the performance control and monitoring of high-precision motion systems in advanced manufacturing machines. It is not difficult to build dynamic models for motion systems based on the multi-rigid-body system assumption. However, it is usually not feasible to acquire the real connection parameters between rigid bodies like stiffness and damping coefficients especially after mechanical assembly which can be significantly different from their designed values. In this paper, a measurement scheme using multiple accelerometers is presented with discussion of the data processing methods. Simulation results on a three-rigid-body motion system and experimental results on a two-mass motion system preliminarily verify the scheme. Finally, existing problems are put forward for further study.

In response to the digital transformation of metrology spearheaded by national and international quality infrastructure bodies, this paper lays the theoretical and methodological foundation for a new paradigm in the calibration of storage tanks within the oil and gas sector. Part I presents a structured framework that integrates the concepts of digital metrology, Industry 4.0, and distributed sensor systems into the domain of volumetric calibration. Emphasis is placed on the role of digital twins, metrological traceability in digital environments, and uncertainty quantification through software automation. The work systematically identifies the building blocks of this paradigm shift, ranging from intelligent infrastructure and real-time monitoring to semantic data integration and predictive analytics, establishing a basis for consistent, interoperable, and automated calibration practices. This foundational perspective serves as a precursor to the practical implementations and applied strategies elaborated in Part II.

In recent years, the application of machine learning to the field of metrology has been increasingly explored. In the evaluation of measurement uncertainty using machine learning, it is generally considered necessary to evaluate it through combining two types of uncertainties: aleatoric uncertainty, which arises from randomness, and epistemic uncertainty, which arises from systematic factors. However, the methods for evaluating these uncertainties have not yet been established. In this study, we evaluate measurement uncertainty in the Vickers hardness measurement using a Convolutional Neural Network. For this evaluation, we employ Monte Carlo Batch Normalization as an approximation of a Bayesian Neural Network to evaluate epistemic uncertainty. As a result, it was found that a reasonable evaluation is possible for materials similar to those in the training data.

In accordance with the Unix philosophy, the implemented software architecture guidelines are designed to prioritise simplicity, modularity and composability. The objective is to develop services that excel in a specific area, with the ability to integrate seamlessly with other services to manage complex tasks. In this paper, we address the issues of interoperability and cross-institutional data sharing by proposing a cloud-native software architecture, the Operation Layer. This innovative solution integrates standalone legacy IT systems and paves the way for a comprehensive digital transformation. Furthermore, the revised and extended digital calibration workflow illustrates the potential of interoperable processes.