Measurement result uncertainty evaluation method

Abstract

The invention discloses a method for evaluating uncertainty of a measurement result. The method comprises the following steps of: counting unit operations executed in a process of generating a measurement result; dividing the unit operations into corresponding operation type sets according to the operation types of the unit operations; according to the operation uncertainty corresponding to the operation type, counting the overall uncertainty component of all unit operations in the operation type set; generating a composite standard uncertainty of the measurement result based on the uncertainty component; obtaining inclusion factors; and generating an extended uncertainty based on the inclusion factor and the synthesis criterion uncertainty. According to the method, the accuracy of uncertainty calculation and the uncertainty analysis efficiency are relatively ensured, the uncertainty evaluation difficulty is reduced, and the content detail degree of uncertainty analysis is improved. In addition, the invention further provides a measurement result uncertainty evaluation device and equipment and a storage medium, and the beneficial effects are as described above.

Description

technical field [0001] This application relates to the field of inspection and testing, in particular to a method for evaluating the uncertainty of measurement results. Background technique [0002] Measurement uncertainty, referred to as uncertainty, refers to the parameter that characterizes the dispersion of the value that is reasonably assigned to the measured value and is associated with the measurement result. [0003] Although errors and error analysis have long been a part of measurement science or metrology, and known or suspected error analysis can be assessed and corrected appropriately, there are still uncertainties in such measurement results. [0004] For a measurement process, when reporting the measurement results of the measurand, the quality of the measurement results should be given a quantitative description so that the user can evaluate its reliability. If there is no such statement, the measurement results cannot be compared between each other, nor can...

AI Technical Summary

Problems solved by technology

While uncertainty theory is a relatively new theory, it is generally poorly grasped by those who currently perform the measurement process

That is to say, at present, many uncertainty evaluators cannot use measurement relational formulas to conduct comprehensive analysis and calculation of uncertainty sources, there will be omissions or repeated analysis, and it is difficult to ensure accurate evaluation of measurement uncertainty; in addition, the parameters of measurement relational Multiple sources of uncertainty of different attributes are often introduced, and it is often necessary to integrate and quantify the sources of uncertainty of these different attributes, resulting in a certain calculation time overhead; therefore, it is difficult to ensure the accuracy of uncertainty in the current uncertainty evaluation method Assess the quality

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