FORMATION OF TEST IMPACTS FOR THE FIRST LEVEL OF THE INFORMATION AND MEASUREMENT SYSTEM

Abstract

The issue of increasing the efficiency of coffee grinding systems thanks to non-dismantling test control of metrological characteristics of information and measurement systems remains relevant today, despite the fact that both domestic and foreign scientists continue to deal with this issue. Test control methods are widely used in various industries, and grinding systems are no exception. In addition to the factors affecting the coffee grinding process, it is necessary to take into account the change in the metrological characteristics of both the individual components of the equipment and the information and measurement system as a whole. Since the grinding process is dynamic, it is necessary to carry out test control of the equipment without stopping work. There is a need for non-dismantling test control by forming additive and multiplicative test effects at the first level of the information and measurement system. The difficulty is that when building a mathematical model of the process, it is practically impossible to take into account dynamic changes on the object, which can be both linear and non-linear. The specified feature of the grinding process makes it necessary to move to the creation of a situational system with fuzzy logic, which can help in determining the optimal relationship between the characteristics of the technological equipment to ensure the minimum value of the dynamic error. The Mamdani fuzzy inference construction method was chosen in the work to create a situational system with fuzzy logic. This algorithm is most common when it is necessary to help a metrological engineer in making a decision. With the help of a graphical user interface, a situational system with fuzzy logic was built for the first level of the information and measurement system, which is able to determine such parameters that will ensure the minimum value of the dynamic error of the grinding system when working out the action of additive and multiplicative test effects. The use of the presented approach can be extended to the class of problems of determining the optimal ratio between disparate parameters to obtain the best result.