A Modeling Language for Measurement Uncertainty Evaluation

The evaluation of measurement uncertainty is necessary to report the accuracy of a measurement together with the value of a measurement. Goal of this project is to provide a simulation framework for specialists in the field of metrology to evaluate the measurement uncertainty for very detailed real-life measurements. A clear language definition using common terms of the scientific field supports structured and organized modeling of measurement scenarios. Besides, different techniques to optimize measurement scenarios are introduces and discussed. One method is concerned with finding good sequences for series of measurements reducing the number of reference measurements and hence, the effort to a minimum. A second method extracts the most important influence quantities to a measurement applying sensitivity analysis. Various practical examples from the fields of physics and chemistry are used to explain modeling concepts and to discuss concrete applications of the system.