Edge computing refers to the collection, aggregation and calculation of analytical data in local devices and networks close to data generation.In the current Internet of Things applications, the requirements for data security and low latency are getting higher and higher.Therefore, more and more schemes choose to adopt the edge computing mode, that is, they no longer upload a large amount of field data to cloud computing.Instead, real-time data processing and high-frequency data/instruction exchange are directly carried out locally.Only the final decision-related data is uploaded to the cloud.
Therefore, it is necessary to link the communication terminal between the cloud and the field layer not only to support communication, but also to have computing and analysis functions.In response to this demand, the Edge computing gateway came into being.For example, the M300 edge computing gateway uses high-performance processors and powerful 5G communication modules.Intelligent data acquisition, device protocol conversion, 5G/4G wireless communication, data processing and forwarding, global unified scheduling and control, cloud platformAnd is integrate with various functions such as coordination with an edge end,Various computing resources and equipment resources at the edge end are fully integrated and intelligently scheduled,So as to play the best production utility of the application scheme of the Internet of Things.
Compared with the cloud server which collects massive data for centralized operation and analysis,Edge computing gateway processes data in real time in the field, closest to the device layer, by reducing the amount of data transmitted remotely.As well as the use of energy-efficient computing chips to effectively reduce the overall energy consumption of the Internet of Things application system.
M300 Edge computing gateway integrates gateway, routing, switch, device control and other functions.At the same time, the built-in complete industry protocol library is convenient for device docking and supports the development of device collaborative application functions.And that communication lay architecture of the Internet of things is greatly simplify.
The Edge computing gateway is designed with a high level of integration for a smaller, more compact form factor that is easier to install and deploy.The application scenarios of gateway terminals are more diverse.Such as smart lamp poles, transmission and distribution monitoring, industrial monitoring, unit monitoring, smart manufacturing, smart retail and other fields.
The intelligent gateway with edge computing function also has powerful equipment linkage control capability.Support independent execution of device management policy, multi-device linkage policy, event analysis policy, exception handling policy, etc.The gateway supports secondary development, which can further develop machine learning and operation optimization capabilities.
The gateway supports both gigabit wired and 4/5G wireless communication, which can be selected on demand, and the installation, deployment and use are more personalized and flexible.Edge computing gateway also supports remote upgrade, updating firmware on demand at any time, and deep adaptation with project functional applications.O as to exert the maximum efficiency.
