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Optimization and Design of Intelligent Sorting Line System Based on Digital Twins

Published: 03 May 2024 Publication History

Abstract

Traditional manufacturing industries are currently facing limitations in terms of time, space, cost, and security. The traditional manufacturing system has problems such as higher operating costs, untimely response speed, lower degree of intelligence, and difficulty in system optimization. To meet the needs of the development of intelligent manufacturing, with the help of the new generation of digital twin technology, we explore the overall framework and design ideas for the combination of digital twin and intelligent manufacturing. Through digital twin technology, the intelligent manufacturing production line is mapped into the virtual space. The energy consumption of traditional manufacturing systems based on actual physical equipment in the testing phase is effectively reduced. Testing and running the manufacturing production line in the virtual space solves the problem of time and space limitations of the physical production line. By constructing an intelligent manufacturing production system that combines virtual and natural, the control accuracy and response speed of the manufacturing system are significantly improved.

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IoTAAI '23: Proceedings of the 2023 5th International Conference on Internet of Things, Automation and Artificial Intelligence
November 2023
902 pages
ISBN:9798400716485
DOI:10.1145/3653081
Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than the author(s) must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected].

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Association for Computing Machinery

New York, NY, United States

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Published: 03 May 2024

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