Application of the model of fuzzy logic to evaluate the quality of data transfer in networks of the industrial internet of things
Abstract
Fuzzy logic by its main characteristic of simulation of human reasoning, it is classified among the techniques of artificial intelligence. This technique can be used to model and then replace the monitoring and control expertise of the process from the designer or user. Fuzzy logic has contributed to the development of several areas. In industrial maintenance, fuzzy logic is used to solve diagnostic problems by automatically classifying vibration signals corresponding to different modes of operation of machines.
In this article, a comparative analysis of the methods of automated control system of technological processes (ACS TP) in modern industrial fields is carried out, the preferential analysis of applying fuzzy logic methods in modern process control systems, as well as an example of using a fuzzy model in assessing the quality of data transmission in IIoT net-works.
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