Method for monitoring the functioning of information and measuring systems during operation

A generalized method of monitoring the functioning of information and measuring systems is considered, which takes into account the effect of random factor influences on the control result. It is noted that the accuracy and reliability of measurement results are influenced by external and internal factors that act both separately and mutually in terms of each other, which is why the task of assessing the levels of factor influence to ensure the required accuracy and reliability of measurements becomes an urgent task. To solve the problem, a generalized method of monitoring the functioning of information and measuring systems is proposed, which combines the advantages of existing structural-algorithmic methods, test control methods, statistical analysis, the theory of fuzzy sets, as well as an algorithm for calculating the measurement uncertainty. The method consists in forming additive and multiplicative independent test effects for information and measuring systems and, depending on the results obtained, using the metrological situation analysis block, which acts on the basis of fuzzy logic, choosing one of two ways of further analysis. The first way is chosen when it is necessary to take into account the effect of random factor influence on the operation of information and measuring systems, namely: a model of factor influence is developed based on variance analysis, a covariance analysis of factor influence levels and discriminant analysis with an assessment of the amount of information by control indicators are performed. The second way is chosen when it is necessary to test hypotheses about the absence of violations in metrological reliability of system elements. Two ways are based on the development of a situational system based on fuzzy logic to determine the degree of factor influence on the control indicator. The presence or absence of correlation between factors is established. The combined standard uncertainty is calculated for either for correlated, or uncorrelated data, and subsequently the expanded uncertainty is calculated. Thanks to the use of the proposed method, it becomes possible to increase the reliability of control of the functioning of information and measuring systems.