Разработка архитектуры комплекса систем промышленного Интернета вещей на основе интеллектуальных датчиков и сенсоров

Abstract

In IIoT (Industrial Internet of Things) systems designed for enterprise management in real time, it is required to perform operational and intelligent processing of Big Data and issue a control signal to the actuators in a predictable time (on the order of several milliseconds). The high speeds of Big Data continuously generated by sensors of the industrial Internet of Things system make it difficult to obtain a control effect at a predictable time. The purpose of the study is to develop the architecture of a complex of IIoT systems to obtain a control effect at a predictable time in real time. The central issue of the task is the high-speed processing of structured data at the place of their occurrence to solve the contradiction between a large number of continuously generated necessary data and the need to process them at a predictable time. The decomposition of the IIoT system into separate IIoT systems according to the structures of the data used by them, followed by synthesis into a single complex of enterprise IIoT systems, is applied. The developed architecture of the IIoT system complex makes it possible to effectively implement distributed management of production processes in a predictable time, perform operational and intelligent processing of huge amounts of data of various formats continuously generated by industrial facilities. The complex of IIoT systems consists of separate systems of the industrial Internet of Things, each of which has its own structure of transmitted data and is implemented on the basis of a multi-level bus, which provides a high data transfer rate in a structured form, the ability to attach to the bus any IIoT device and any program used, including the Big Data system to identify hidden patterns in the work of the enterprise. The proposed solution of the architecture of the IIoT system complex based on intelligent sensors and touchsensors allows for effective management of enterprise equipment and technological process operations in real time with the immediate use of the new patterns found in the continuously incoming new data. The solution can be used by developers of industrial Internet of Things systems for the effective launch and implementation of projects, for the development and commissioning of IIoT systems.