An intelligent management method and system based on edge computing

Abstract

The invention discloses an intelligent management method and system based on edge computing, and belongs to the technical field of edge computing. According to the invention,the data analysis and processing time can be shortened and the time delay is reduced; and when the network is interrupted and cloud crashes, it is guaranteed that edge computing can operate local computing software offline inan internal network; local autonomy is implemented, interconnection and intercommunication between the machine equipment can be realized through a local edge computing group which runs offline, so that a complete intelligent management network and system can be established; meanwhile, bandwidth resources for data transmission can be saved during networking, and the problems that data calculation and storage pressure is too high, flow is too high, application and development are difficult, and intelligence is insufficient during cloud on bottom-layer mechanical equipment are effectively relieved.

Description

technical field [0001] The present invention relates to the technical field of edge computing, in particular to an intelligent management method and system based on edge computing. Background technique [0002] With the continuous development of cloud computing technology, more and more enterprises begin to apply cloud computing technology to the actual production, operation and management process. Enterprises can connect machines and equipment to the network and perform central calculations on the data generated by machines and equipment through the cloud computing platform, so as to realize more efficient decision-making management of enterprises through calculation results. [0003] Specifically, when the machine equipment of the enterprise is running, it can periodically upload the raw data generated locally to the cloud computing platform through the Internet of Things technology. Afterwards, the cloud computing platform can aggregate and store the received raw data, a...

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Problems solved by technology

[0005] As the scale of the enterprise expands, the number of IoT machines and equipment increases rapidly. Correspondingly, the amount of data that needs to be transmitted to the cloud by the enterprise's machines and equipment also increases sharply. Continuing to use the original cloud computing platform for computing management will consume a lot of resources. Bandwidth resources are used to transmit data generated by machines and equipment, and the feedback of calculation results takes a long time, the pressure of data calculation on the cloud computing platform is high, the load and resource overhead are high, and network interruption and cloud downtime will affect the machine The operation of the equipment causes losses to the enterprise; in addition, the data generated by the equipment is completely uploaded to the cloud, and when the cloud server is maliciously attacked, the data security is greatly endangered

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