Synchronizing Controlled Logistics Terminals between Simulated and Visualized Production Lines Using An ASTAK Method

Author:

Wang Zixiao1,DONG Yue1,wang shenggguo wang shenggguo2,Zhang Xinxiang3

Affiliation:

1. School of Information and Communication Engineering, Communication University of China, Beijing

2. China Ordnance Industry Survey and Geotechnical Institute Co., Ltd

3. Department of Electrical and Computer Engineering, Southern Methodist University, Dallas, Texas 75205 USA

Abstract

Abstract

In a fully automated factory, the Visualized Production Line serves as a crucial tool for management personnel to understand production progress and monitor the manufacturing process. The synchronization between the visualized line and the actual production line significantly impacts the efficiency of production supervision. Taking Controlled Logistics Terminals as an example, this article proposes the AS-TA-KS Method, which encompasses three steps: Animation Simplification, Timing Alignment, and Keyframe Synchronization. This method aims to achieve precise synchronization between the Simulated Production Line and the Visualized Production Line, while ensuring that the process data of the simulated line is not directly accessed. The experiment demonstrates that the method can maintain the time difference between simulated and visualized production line below an average of 0.08 seconds, with a synchronization rate of 99.97%. Our method advances the state-of-the-art method by an average of 5.22%. This case provides support for the real-time and reliability of modern intelligent manufacturing.

Publisher

Research Square Platform LLC

Reference33 articles.

1. Xu, Q., Wu, F., Xiang, R., Zhou, J. & Yang, X. Autonomous steel casting recognition and positioning on the unmanned automatic production line based on binocular vision. Vol. 11197 111970U (SPIE, 2019).

2. Artificial intelligence in digital twins—A systematic literature review;Kreuzer T;Data & Knowledge Engineering,2024

3. Digital twin for smart manufacturing, A review;Mohsen S;Sustainable Manufacturing and Service Economics,2023

4. Digital Twin Modeling and Simulation of Computer Aided Design and Manufacturing Structure: Case Study;Turgay S;Digital Manufacturing and Process Management,2023

5. Digital Twin of Experimental Smart Manufacturing Assembly System for Industry 4.0 Concept;Židek K;Sustainability,2020

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