Cloud computing and edge computing combined production control system

Abstract

A cloud computing and edge computing combined production control system comprises an instruction analysis module, a monitoring configuration updating module, an information adaptation module, a production execution module and a production analysis module, the instruction analysis module receives a production control instruction from a cloud service platform and performs content analysis to obtain a production task, an operation instruction and a process specification; the monitoring configuration updating module is used for receiving monitoring configuration information which is from the cloud service platform and is used for adjusting and explaining a production monitoring target, analyzing inspection configuration information, then monitoring configuration, verifying effectiveness and applicable equipment of the inspection configuration information, and completing generation and injection of related execution scripts according to the configuration information; the information adaptation module is used for carrying out consistency adaptation on the heterogeneous equipment in the production unit from semantics to an information protocol; the production execution module is connected with the edge end and the equipment end, and obtains and transmits an operation instruction, a production state and production data; and the production analysis module analyzes and feeds back the production process of the production unit. According to the invention, edge end monitoring of the production process can be realized, and cloud-edge-end effective production control cooperation is realized in cooperation with a cloud service platform.

Description

technical field [0001] The present invention relates to a technology in the field of cloud computing, in particular to a production control system combining cloud computing and edge computing. Background technique [0002] Most of the existing production monitoring methods are cloud-end centralized and unified monitoring, that is, the monitoring of the production process is completed by the cloud service platform, which itself has the limitations of monitoring lag, high communication pressure, and many hidden dangers of error. At the same time, the prediction and early warning of time series data still adopts the "one size fits all" early warning mode of a single device, which is not conducive to the effective use of early warning information. Based on the above background, this paper designs a production control system that combines cloud computing and edge computing, adds an analysis and processing module for business processes in the edge end, gives more decision-making a...

AI Technical Summary

Problems solved by technology

[0002] Most of the existing production monitoring methods are cloud-end centralized and unified monitoring, that is, the monitoring of the production process is completed by the cloud service platform, which has the limitations of monitoring lag, high communication pressure, and many hidden dangers of errors

At the same time, the prediction and early warning of time series data still adopts the "one size fits all" early warning mode of a single device, which is not conducive to the effective use of early warning information

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