As the trend of the Internet of Everything and information aggregation continues to deepen, the number of terminal devices such as mobile phones, computers, and robotic arms continues to increase, causing the growth rate of data to far exceed the growth rate of network bandwidth, causing serious network concurrency problems. At the same time, the emergence of many artificial intelligences such as augmented reality and unmanned driving has put forward higher requirements for latency.
Edge computing refers to the integration of computing, network and storage resources at the edge of the network into a unified platform to provide services to users, so that data can be processed promptly and effectively near the source, that is, preliminary data screening and filtering is performed at the source. This model is different from cloud computing, which requires all data to be transmitted to the data center. It bypasses the bottleneck of network bandwidth and latency, and has a lower demand for network bandwidth. It has attracted widespread attention in smart factories, environmental water, and energy industries.
Industrial gateways have edge computing functions and have made achievements in data collection in many industries. It can quickly help users access high-speed industrial Internet and achieve safe and reliable network data transmission. Edge computing gateways are suitable for a variety of application scenarios. They are widely used in transportation, energy and minerals, electricity, meteorology, industrial automation, finance, water conservancy, environmental protection, medical care, agriculture, forestry and oil, etc. It is also used in intelligent fields such as smart transportation, smart home, and smart car networking. The edge computing gateway has data collection, protocol analysis, edge computing, 5G/4G/3G/wifi data transmission and access to industrial cloud platforms. It supports the collection of PLC, sensors, instruments and various controllers, which are suitable as access nodes for large-scale distributed devices.
Five major advantages of edge computing gateways
1. Low power consumption advantage of edge computing gateways
Compared with the practice of centrally transmitting and uploading massive amounts of data to cloud servers, edge computing gateways process data in real time at the edge closest to the device layer, and reduce the amount of data transmitted remotely by filtering and processing the data, thereby reducing energy consumption.
2. Advantages of simplified architecture of edge computing gateway
The edge computing gateway integrates multiple functions such as gateway, routing, switch, and device control. It also includes industry protocol parsing and conversion to facilitate device docking and supports the development of device editing application functions, which greatly simplifies the IoT communication layer architecture.
3. Small size advantage of edge computing gateway
The edge computing gateway adopts a highly integrated design, making the size smaller and more compact, making it easier to install and deploy, making the application scenarios more diverse and able to face more complex environments, such as smart mines, sewage treatment plants, industrial monitoring, unit monitoring, intelligent manufacturing, smart factories and other fields.
4. Intelligent response advantages of edge computing gateways
Intelligent gateways equipped with edge computing functions also have powerful device linkage control capabilities, supporting autonomous execution of device management strategies, multi-device linkage strategies, event analysis strategies, exception handling strategies, etc. The gateway supports secondary development, which can further develop machine learning and computing optimization capabilities.
5. Flexible deployment advantages of edge computing gateways
The gateway supports both Gigabit wired and 4/5G wireless communications, and can be selected on demand, making installation, deployment and use more personalized and flexible. The edge computing gateway also supports remote upgrades, firmware updates on demand at any time, and deep adaptation with project functional applications to maximize performance.
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