# Industrial Internet Identity Resolution+5G Full Connection Digital Factory Research
## 4 Key Technologies and Applications
### Edge Computing Full Connection Digital Factory  
The collaborative interaction between the digital intelligent control center and the field equipment is performed through \"cloud-edge-end\" edge computing, where the \"end\" is responsible for the connection of the production line equipment, supports a variety of several heterogeneous network interfaces, and integrates the equipment and information system into a whole through communication. It also performs the hardware collection and interconnection of PLC control, machine tool system, cutting, welding, logistics and testing equipment, and configures the corresponding acquisition module and protocol according to the actual interface type. \"Edge\" performs data classification and identification processing of equipment status and algorithm. The edge management accepts sensor perception data and task instruction execution results from the production equipment of digital factory and performs cleaning, coding, mining, analysis, and fusion for the collected at the device end. In addition, the control instructions are sent to the welding, cutting, logistics, machine tool system, and others through the interface of the equipment end to the real-time monitoring of the production line level equipment status. The manufacturing operations management platform is responsible for further data analysis and report presentation. It supports the mainstream standard data interface and data sharing of the business application system. It receives the data uploaded from the edge side, stores it in the cloud computing center, transmits the real-time data to the cloud computing center for model training, and stores the time-stamped data as historical data for cloud computing model call. The edge computing architecture based on the concept of \"cloud-edge-end\" is of great significance for full connection digital factories. With the breakthrough of the edge computing technology in practical application, and the rapid development of the new generation communication technology and embedded hardware technology, more computing can be performed by relying on the computing power of the intelligent devices on the \"end\" side. This allows to avoid unnecessary data transmission to the cloud. That is, decision screening of the terminal device data on the device side is performed. This will make full use of the physical resources of the digital factory, filter and analyze at the edge nodes [35], save energy and time, and reduce the possibility of delay caused by data transmission. Only the required content will be sent to the cloud computing server through the communication network for data processing. It greatly improves the efficiency of data processing and decision making and reduces the cloud server pressure. Therefore, the edge computing concept based on 5G and other advanced network technologies provides a new solution for the problems of bandwidth competition and serious time delay when large-scale data are accessed by the industrial Internet. Edge computing can enable data connection, data optimization, and intelligent decision making in the case of real-time security, so that the data can really play a crucial role in ensuring the industrial site quality, cost, efficiency, and safety, and solve other critical problems. The continuous development of edge computing accelerates the deep integration of information technology resources and platform service resources and has a significant role in the industrial Internet era.  
Edge computing is an open platform that can provide computing, storage, and other functions. It provides faster services and stronger computing power for mobile networks. It is compatible with 5G technology, it has high reliability and low time delay, and thus it will help the deployment of the Internet of Things and the construction of the edge computing network of full connection digital factories in the future. The edge computing architecture composed of field devices, edge end, and cloud is shown in Figure 3.