A cloud-end based manufacturing cyber-physical system

Abstract

The invention discloses a cloud-terminal-based manufacturing cyber-physical system architecture. The cloud-terminal-based manufacturing cyber-physical system architecture includes: a terminal part and a part on the cloud; a terminal part including an equipment layer and a control layer; a part on the cloud including data layer and decision support layer; the equipment layer includes manufacturing equipment and wireless sensor networks deployed on it; the control layer includes controllers of manufacturing equipment, industrial computers and mobile terminals; the data layer includes data storage services and cluster analysis, predictive modeling , Equipment status monitoring; the decision support layer includes integrated optimization services and adaptive optimization services. Based on the cloud-end, the present invention adopts the four-layer architecture of "equipment-data-decision support-control" to realize the integration and optimization of equipment data collection, analysis and processing parameters, processing paths, processing technology and scheduling. Provides an adaptive optimization scheme that responds to various dynamic events in the manufacturing process, and realizes automatic optimal configuration of production methods.

Description

technical field [0001] The present invention relates to the technical field of intelligent manufacturing, in particular to a cloud-terminal-based manufacturing cyber-physical system. Background technique [0002] How to integrate modern information technology into the manufacturing process and build a manufacturing cyber-physical system is one of the key issues facing intelligent manufacturing. The research work on this issue is mainly carried out from the following four levels: [0003] (1) Data collection. The work at this level is dedicated to designing and constructing a wireless sensor network suitable for various data collection in the manufacturing process, aiming to provide a basis for further analysis, optimization and real-time response. [0004] (2) Data storage, analysis and modeling. The work at this level aims to provide a reasonable storage solution for the manufacturing process data, and on this basis, through the analysis of the data, the predictive model...

AI Technical Summary

Problems solved by technology

The optimization research on the four aspects of processing parameters, processing routes, process planning and scheduling carried out in the third level is limited to the initial generation of optimization schemes in all aspects, and rarely involves real-time optimization. In addition, the integrated optimization research on the above four aspects It also only stays on the integrated optimization of scheduling and process planning or scheduling and processing parameters

Most of the research work on the fourth level proposes corresponding prediction and response methods for a certain type of dynamic event type, which cannot support multiple types of dynamic events that may occur in the actual processing process at the same time, and does not involve real-time feedback.

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