Edge computing intelligent adapter for industrial manufacturing and implementation method

Abstract

The invention discloses an edge computing intelligent adapter for industrial manufacturing and an implementation method. The adapter comprises a Modbus protocol analyzer, an AI / DI / DO signal processingmodule, an edge computing module and an output module. The Modbus protocol analyzer analyzes the data of the acquisition equipment; the AI / DI / DO signal processing module converts analog quantity anddigital quantity input into digital quantity output control signals; the edge calculation module obtains prediction information through a lightweight machine learning algorithm submodule; a data processing sub-module performs data processing according to a processing mode preset by the configuration sub-module, the processed data is stored in the storage sub-module, and the output module providesOPC UA server service, reads the data in the storage sub-module, performs man-machine interaction operation and reports the data transmission at the same time. The edge calculation processing alleviates the network bandwidth and the data processing pressure of the data center, and enhances the response capability of the cloud service.

Description

technical field [0001] The present invention relates to the technical field of industrial Internet and intelligent computing equipment, in particular to an edge computing intelligent adapter for industrial manufacturing and its implementation method. Background technique [0002] With the rapid development and wide application of industrial interconnection technology, the explosive growth of massive edge data has brought more and more pressure to the centralized cloud computing processing mode. The data generated by a large number of devices, only a small amount of which is key data, Most of the data is temporary and does not require long-term storage. Edge computing devices can process a large amount of temporary data at the edge of the network, thereby alleviating the pressure on network bandwidth and data center data processing. On the other hand, there are problems such as link and routing instability in the complex industrial network environment. These factors cause pr...

AI Technical Summary

Problems solved by technology

On the other hand, there are problems such as link and routing instability in the complex industrial network environment. These factors cause problems such as excessive delay, excessive jitter, and slow data transmission speed, which seriously affect the responsiveness of cloud services.

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