Data processing method and system applied to edge computing gateway

Abstract

The invention discloses a data processing method and system applied to an edge computing gateway. The method comprises: acquiring industrial application data generated when each industrial device in aproduction system performs application operation, performing data preprocessing on the industrial application data, and forwarding the industrial application data to a plurality of data branches, sothat each data branch performs corresponding branch data processing; storing the industrial application data subjected to branch data processing into corresponding storage spaces in a classified manner, and monitoring the space capacity of each storage space in real time; and when the space capacity of the current storage space is insufficient, executing a corresponding space management strategy according to the data volume of the industrial application data needing to be stored, and transmitting the generated space early warning log to a cloud server, so that the cloud server executes a corresponding decision strategy according to the log level of the current log. According to the invention, the problems that the existing intelligent execution system lacks real-time management on the equipment data acquisition end and abnormal events cannot be discriminated and fed back in real time are solved.

Description

technical field [0001] The present invention relates to the technical field of communication networks, in particular to a data processing method and system applied to an edge computing gateway. Background technique [0002] The industrial control system is a requirement for large data volume and high-speed transmission such as images and voice signals, as well as the combination of Ethernet and control network. With the development of computer technology, communication technology and control technology, the traditional control field is undergoing an unprecedented change, and it is beginning to develop in the direction of networking. The structure of the control system has developed from the initial CCS (Computer Centralized Control System), to the second-generation DCS (Distributed Control System), and to the now popular FCS (Fieldbus Control System). [0003] However, with the continuous improvement of the intelligence of industrial equipment, the control system requires m...

AI Technical Summary

Problems solved by technology

Solutions such as PLC, DCS, and SCADA are derived according to different application scenarios. The above types of products combined with edge computing gateways can realize IOT Internet applications such as industrial data to the cloud, but they all lack real-time management capabilities for equipment data collection terminals, and cannot monitor abnormal events in real time. screening and feedback

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