Design of Virtual Commissioning System for Intelligent Manufacturing Production Line Based on Digital Twin

Aiming at the problems that the product manufacturing process of intelligent production line is not intelligent enough and the on-site commissioning is costly, long and risky, a virtual commissioning system design scheme of intelligent production line oriented to digital twin is proposed. Firstly, a...

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Veröffentlicht in:2022 5th World Conference on Mechanical Engineering and Intelligent Manufacturing (WCMEIM) S. 01 - 06
Hauptverfasser: Lian, Taihu, Ran, Meng, Zhao, Wei, Liu, Pengxin
Format: Tagungsbericht
Sprache:Englisch
Veröffentlicht: IEEE 18.11.2022
Schlagworte:
Analytical models
Ant colony optimization algorithms
Automated stereo warehouse
Digital Twin
Digital twins
Heuristic algorithms
Intelligent Production Line
Mathematical models
Production
Solid modeling
Space allocation
Systems architecture
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Zusammenfassung:Aiming at the problems that the product manufacturing process of intelligent production line is not intelligent enough and the on-site commissioning is costly, long and risky, a virtual commissioning system design scheme of intelligent production line oriented to digital twin is proposed. Firstly, a data- driven multi-dimensional fusion modeling method of digital twin is used to construct a multi-dimensional model of the digital twin of an smart production line; secondly, in order to improve the intelligence of the smart production line, a heuristic ant colony algorithm is proposed to optimize the allocation of cargo space in the automated three-dimensional warehouse; then, the communication mechanism and information interaction principle of the digital twin system of the smart production line are studied and analyzed; finally, the experiment proves that Finally, it is proved through experiments that the solution can reduce the risk of on-site commissioning of intelligent production line, shorten the commissioning time, and provide an effective solution for the intelligent enhancement and commissioning of intelligent production line.
DOI:10.1109/WCMEIM56910.2022.10021445