Edge computing is widely used in the Internet of Things, especially suitable for application scenarios with special business requirements such as low latency, high bandwidth, high reliability, massive connectivity, heterogeneous convergence, local security and privacy protection.

In practical work, how can enterprises combine edge computing with the Internet of Things?

A: Enterprises need to deploy edge computing devices, such as the Edge Computing Gateway for the IIOT. Edge computing is the expansion and extension of cloud computing capabilities, that is, distributed computing platforms and computing services that provide network computing, storage, and applications at the edge of objects or data sources.The Edge Computing Gateway of the Internet of Things provides powerful edge computing capabilities to help enterprises achieve better and better data collection, transmission and monitoring, improve efficiency and protect privacy.

Specifically, the Edge Computing Gateway of the Internet of Things can complete the protocol conversion between the perception network and the communication network, as well as between different types of perception networks. It can complete both the wide area interconnection and the local area network interconnection. At the same time, it also has the function of device management. Through the Edge Computing Gateway of the Internet of Things, we can manage the underlying sensor nodes.Understand the relevant information of each node and complete the remote control of the Edge Computing Gateway application of the Internet of Things. For example, we deployed the Edge Computing Gateway of the Internet of Things in a factory.

First, when Edge Computing Gateway has its own data analysis and accounting capabilities, the data can reach the gateway layer, complete, aggregate, optimize and filter. After partial analysis of the collected data, the device can respond directly with lower latency, and the results and high-value data will also be uploaded to the cloud for storage. Managers also receive timely feedback.

Secondly, Edge Computing Gateway filters and optimizes a large amount of state data of the device at the gateway layer to reduce the network pressure of massive data upload, thus reducing the broadband pressure.

Finally, the Edge Computing Gateway section and the ability of data collection, efficient transmission and rapid analysis can use big data to analyze and detect hidden dangers of equipment, identify the development trend and possible failure modes of equipment in advance, and draw up speculative maintenance plans in advance.

Generally speaking, Edge Computing Gateway of the Internet of Things provides nearly real-time, secure and reliable computing services, which can save the cost consumption of enterprise operation and maintenance development, network bandwidth, equipment management and so on.