Construction of Industrial Internet of Things Based on MQTT and OPC UA Protocols

At present, the Internet of Things has become a hot area of global concern and is considered to be another major scientific and technological innovation after the Internet. The Internet of Things can be analyzed from two aspects, one is to access the Internet, and the other is the connection between things. The Industrial Internet of Things, as a new type of industrial ecosystem, collects resources and data during the industrial production process by using miniature low-cost controllers and high-bandwidth wireless networks to achieve flexible configuration of manufacturing raw materials and improve resource utilization. The Industrial Internet of Things not only includes traditional software elements, but also requires hardware controllers and sensors, as well as cloud service platforms, to ultimately achieve intelligent manufacturing. The Industrial Internet of Things based on MQTT adopts the method of upper computer (WeChat applet) + server (Alibaba Cloud Server) + lower computer (WiFi module ESP8266 NodeMcu) to realize data collection and control of industrial production process. Based on OPC UA protocol, The Industrial Internet of Things, by designing an intelligent node device based on embedded Linux system, uses Qt to build the OPC UA protocol. OPC UA is a C / S architecture real-time database framework. By building an OPC UA Client on a handheld terminal device, An OPC UA Serve is set up on the smart terminal device, and the information collected by the handheld terminal is sent to the smart terminal. At the same time, multiple smart terminals are connected through the OPC UA protocol to perform data interaction and information transfer. At the same time, an edge computing algorithm is embedded in the smart terminal, and a large amount of data collected is processed for analysis, screening, and calculation. At the same time, the processed information is transmitted or processed. Reduce data interactions between data sources and data centers, and reduce the amount of information transmitted and stored.