Edge computing has a wide range of applications in the Internet of Things, and is especially suitable for application scenarios with special business requirements such as low latency, high bandwidth, high reliability, massive connections, heterogeneous convergence, local security, and privacy protection.
In actual work, how can enterprises combine edge computing with the Internet of Things?
A, enterprises need to deploy edge computing devices, such as IoT edge computing gateways. Edge computing is the expansion and extension of cloud computing capabilities, that is, providing network computing, storage, and application distributed computing platforms and computing services at the edge close to the source of objects or data. The IoT edge computing gateway provides powerful edge computing capabilities, which can help enterprises achieve 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 sensory network and the communication network, as well as different types of sensory networks. It can realize both wide-area interconnection and LAN interconnection. Through the IoT edge computing gateway, we can manage the underlying sensor nodes, understand the relevant information of each node, and realize remote control of the IoT edge computing gateway. For example, we deployed an IoT edge computing gateway in a factory.
Then firstly, when the edge computing gateway's own data analysis and computing capabilities, the data can reach the gateway layer, complete, aggregate, optimize and filter, and through partial analysis of the collected data, the device can make a direct response with lower delay and at the same time Results and high-value data are also uploaded to the cloud for storage, and managers can receive timely feedback.
Secondly, the edge computing gateway filters and optimizes a large amount of device status data at the gateway layer to reduce the network pressure of massive data uploads, so that the bandwidth pressure is also reduced.
Finally, the efficient transmission and rapid analysis capabilities of edge computing network nodes and data collection can use big data analysis to detect hidden dangers in equipment, identify equipment development trends and possible failure modes in advance, and formulate predictive maintenance plans in advance.
In general, the IoT edge computing gateway provides near-real-time, safe, and reliable computing services, which can save the cost of enterprise operation and maintenance development, network bandwidth, and device management.