Research on Key Technologies and Application of New IT-driven Digital Twin Manufacturing Cell System

doi:10.3901/JME.2022.16.329

Abstract

Abstract: How to construct software and hardware models of a discrete workshop and realize intelligent decision-making and control of the production process is still the bottleneck problem for the research and implementation of discrete smart workshops. Consequently, the research takes the manufacturing cell, known as the basic implementation unit of discrete smart workshops, as the research object and proposes a novel theoretical model for a data and knowledge-driven digital twin manufacturing cell system (DTMCS) empowered by New IT. On that basis, a reference framework of DTMCS is defined, where its smart features, dynamic formation and interaction mechanisms of multi-dimensional time varying spaces are clarified. Then, with the in-depth integration of Internet of Things (IoT), edge computing, cloud computing, blockchain, deep learning and knowledge engineering in DTMCS, four key enabling technologies that support DTMCS configuration modelling, knowledge integration, operation decision-making and application transformation are studied. Finally, based on an intelligent manufacturing cell of micro turbojet engine, a prototype of DTMCS is constructed, where its application examples verify the validity and practicality of the proposed approach.

Key words: digital twin, manufacturing cell, New IT, intelligent decision-making, optimal operation state control

CLC Number:

TH166

ZHANG Chao, ZHOU Guanghui, LI Jingjing, WEI Zhibo, CHANG Fengtian. Research on Key Technologies and Application of New IT-driven Digital Twin Manufacturing Cell System[J]. Journal of Mechanical Engineering, 2022, 58(16): 329-343.

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