IIoT Network System from Data Collection to Cyber-Physical System Transmission Under the Industry 5.0 Era

Lecture notes in networks and systems(2023)

引用 0|浏览0
暂无评分
摘要
IIoT and Industry 5.0 have caused a technological revolution in the industrial field by setting new possibilities in monitoring and controlling of devices and machines. The fundamental characteristics of Industrial Internet of Things (IIoT) optimize production processes through the easy accessibility of data, improved safety conditions, and better maintenance forecasting. At the same time, Industry 5.0 and the IIoT provide more operational efficiency, interconnection, scalability, interoperability, time savings, and cost savings by using advanced technologies. In Industry 5.0, services require short response times and integration with cloud platforms that offer high response speeds, thereby achieving latency-free data transfer. The technologies that are used in the IIoT network that is studied in this research are TIA portal, Node-RED, and Node-RED Dashboard. These technologies are used to connect PLC S7-1200 with the IoT2050 Gateway through the industrial protocol PROFINET and finally transmit data to cloud platforms or other cyber-physical system through MQTT protocol. In general, the proposed architecture collects data from the industrial field and sends them to other systems located on local, fog, or cloud premises in order to store, process, and predict data that can be used in upper systems or cognitive digital twin schemas in a friendly way. In this paper, we propose a methodology that collects production data from the production machine and transmits them to the cloud, proposing a user-friendly step-by-step self-exploratory guide for integrators, programmers, and early stage researchers. The methodology is applied in cyber-physical-sorting system, achieving monitoring and controlling in real-time, and further processing of the system’s data.
更多
查看译文
关键词
transmission,data collection,cyber-physical
AI 理解论文
溯源树
样例
生成溯源树,研究论文发展脉络
Chat Paper
正在生成论文摘要