Industrial soft gateway based on multiple access and edge computing and implementation method

Abstract

The invention provides an industrial soft gateway based on multiple access and edge computing and an implementation method. The industrial soft gateway comprises a configuration interaction module, adata collection module, a data edge computing module and a data sending control module, wherein the configuration interaction module comprises a connection configuration module and a data standardization module; the data collection module is used for a multiple access collection method; the data edge computing module is used for carrying out real-time computing on the data collected by the data collection module; and the data sending control module is used for carrying out caching and task scheduling and allocation of external forwarding on all data to be sent. According to the industrial softgateway based on multiple access and edge computing and the implementation method, a visual interface is arranged to provide connection configuration and standardized operation for various communication protocols and databases, and meanwhile, a graphical monitoring interface of a data collection state, an edge computing result and a forwarding state is provided. Data standardization can be realized, the data noise can be eliminated and the data features can be extracted through the edge computing module, the network transmission data volume of a data cloud platform is reduced, and the data transmission efficiency is improved.

Description

technical field [0001] The invention relates to the field of industrial data analysis and establishment, specifically, an industrial soft gateway based on multiple access and edge computing and an implementation method. Background technique [0002] The operation status monitoring and fault diagnosis of industrial equipment has always been a research hotspot in the professional field, and the basis of its system equipment modeling, analysis and diagnosis is to realize the collection and acquisition of equipment operation status data. In the data collection of on-site industrial equipment, since the applied data collection equipment usually comes from different suppliers, it may contain a variety of data communication protocols and different types of data storage and management systems, so that the collected data is diverse, The characteristics of complexity and non-standardization have caused inconvenience to the use, processing, statistics and analysis of later data. There...

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Problems solved by technology

In the data collection of on-site industrial equipment, since the applied data collection equipment usually comes from different suppliers, it may contain a variety of data communication protocols and different types

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