The 5G edge computing gateway has multiple functions.
Firstly, it supports intelligent cloud control, which can directly upload the collected data to the cloud through 5G/4G/WIFI and other wireless networks, and realise off-site remote monitoring and control, early warning notification, report push and equipment connection.
Secondly, 5G edge computing gateway can collect various data, including equipment operation status, environmental parameters, personnel activities, etc. It can collect real-time data with high precision and high frequency around the clock without interruption, and support multi-channel dynamic signal acquisition.
Thirdly, the edge computing gateway has strong compatibility and can adapt to different sensors and devices, eliminating the need to modify existing equipment and avoiding the loss of production costs due to equipment modification errors.
Fourth, the 5G edge computing gateway also has industrial-grade configurations to meet the needs of various industrial application scenarios, with long read/write life, expandable high-capacity memory space, and massive data storage to help with application expansion.
In addition, the Edge Computing Gateway supports a variety of network connections, including GPRS, 4G, 5G networks, WAN, LAN, WIFI, etc. It supports wired and wireless backup for each other, and multi-centre communication, which allows it to communicate with multiple backend servers at the same time.
At the same time, the 5G edge computing gateway can also carry out remote management and maintenance of equipment, reducing operation and maintenance costs. It adopts high-end processor of Arm architecture, standard Linux system, integrated Python development environment and C language development environment, and provides standard API interface and development guidance, which provides a stable and fast platform for users’ secondary application development, and users can easily call various interfaces and resources of the system to create differentiated core competitiveness.
The role of the 5G edge computing gateway is mainly in the following aspects:
Connecting And Managing Devices: 5G Edge Computing Gateway can connect various types of devices, including sensors, cameras, controllers, etc., and can manage the configurations, statuses and data of these devices.
Data Collection And Processing: Edge computing gateways can collect real-time operational data from devices and process and analyse it. This data can be used for applications such as device monitoring, fault prediction and optimisation.
Local Computation And Storage: Local computation can be performed on edge computing gateways, including filtering, transforming and modelling of data. In addition, the gateway can store data for subsequent analysis and processing.
Communication And Collaboration: Edge computing gateways can communicate and collaborate with other devices or the cloud via wireless networks such as 5G/4G/WIFI. This enables real-time communication and data sharing between devices, improving the efficiency and responsiveness of the entire system.
Security And Reliability: Edge computing gateways have high security and reliability, which can protect devices from network attacks and viruses. In addition, the gateway can achieve encrypted data transmission and storage to ensure data security and privacy.
Reduced Network Burden: By shifting the task of data processing and analysis to the edge computing gateway, the data processing burden on the cloud can be reduced, and network traffic and transmission costs can be lowered. At the same time, local computing and storage can also improve the speed and responsiveness of data processing.
Flexibility And Scalability: Edge computing gateways are flexible and scalable, and can be configured and managed according to actual needs. Users can choose the appropriate hardware platform, operating system, and software framework to build a custom edge computing gateway according to different application scenarios and needs.
In summary, 5G edge computing gateways serve to connect and manage devices, collect and process data, enable local computing and storage, improve communication and collaboration efficiency, guarantee security and reliability, reduce network burden, and provide flexibility and scalability. These roles make edge computing gateways an important part of IoT applications that can meet a variety of different needs and application scenarios.