Decision control method and system for digital twin information of intelligent factory based on 5G driving

Abstract

The invention discloses a decision control method for intelligent factory digital twin information based on 5G driving. The method comprises the following steps: S1, carrying out a multi-source heterogeneous twin data fusion process; s2, a digital twin information interaction communication process based on 5G; and S3, a control decision process of the multi-source heterogeneous twin data information. According to the invention, a 5G-based digital twinning communication mode can be constructed, real-time twinning data-driven online simulation is realized, virtual-real mapping and interaction are really realized, the real-time performance of decision-making and control to terminals and applications and the autonomy and intellectualization of reaction are ensured, the upstream and downstream cooperation of an industrial chain of the manufacturing industry is promoted, and the development of the industrial chain of the manufacturing industry is promoted. And in an actual production environment, a reinforcement learning method and a self-supervised learning method are utilized to learn compact and multi-modal representation of data in an input network, so that decision-making and control efficiency of resource configuration, production planning, real-time scheduling, supply chains, logistics and the like is improved, and the method adapts to production management and control under dynamic factor disturbance.

Description

Technical field [0001] The present invention relates to the field of intelligent manufacturing technology, and in particular to a decision-making control method and system based on 5G-driven smart factory digital twin information. Background technique [0002] Intelligent manufacturing promotes the transformation of large-scale manufacturing enterprises to intelligence. On the one hand, the massive data owned by factories puts great pressure on the development of factory intelligence. On the other hand, the data itself is the core driving force for factory intelligence. . The coupling between digital twins and smart manufacturing is getting higher and higher, and the implementation of digital twin technology is one of the key elements to promote the development of smart manufacturing. Combining communication networks with basic technologies such as cloud computing and digital twins can build or optimize a large number of general technologies. The combination of general tech...

AI Technical Summary

Problems solved by technology

[0003] When implementing the present invention, the inventor found that currently in the field of intelligent manufacturing, the communication technologies used for information interaction mainly revolve around the Industrial Internet of Things, 4G mobile communication systems, etc., and the access capacity encountered in inter-factory system communication is limited , long communication time, severe congestion, poor transmission quality, etc.

In addition, the current control and decision-making methods based on the digital twin data of smart factories mainly apply machine learning algorithms, which cannot guarantee the real-time and autonomous and intelligent response of decision-making and control to terminals and applications.

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