THE TASK OF MONITORING RELIABILITY PARAMETERS IN AN INDUSTRIAL IoT MANAGEMENT SYSTEM

Abstract

This paper considers the Industrial Internet of Things, its features associated with a large amount of data generated by sensors of industrial equipment. Particular attention is paid to the reliability of the system for transmitting operational information, which largely depends on the network bandwidth and stability of the Internet connection. Peripheral computing (edge computing), local data processing, saving network resources, reducing information transfer time, as well as the possibility of processing data in offline mode are considered. This allows reducing computing latency, increasing reliability and security, and optimizing data flows. A peripheral data processing module using mathematical statistics methods is proposed to determine the reliability of IIoT equipment by checking the data for compliance with the law of exponential distribution using criteria that do not require significant computing power.