• CN: 11-2187/TH
  • ISSN: 0577-6686

Journal of Mechanical Engineering ›› 2023, Vol. 59 ›› Issue (12): 38-46.doi: 10.3901/JME.2023.12.038

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Research on Proactive Scheduling Theory and Method Enabled by 5G Technology for Intelligent Discrete Manufacturing Shop

GAO Yiping1, LI Xinyu1, SHAN Hangguan2, FAN Xiaohui3, GAO Liang1, LIU Qihao1   

  1. 1. School of Mechanical Science and Technology, Huazhong University of Science and Technology, Wuhan 430074;
    2. College of Information Science and Electronic Engineering, Zhejiang University, Hangzhou 310058;
    3. Research Institute of China Mobile Communications Group Co., Ltd., Beijing 100032
  • Received:2022-11-03 Revised:2023-05-04 Online:2023-06-20 Published:2023-08-15

Abstract: Based on the analysis of the shortcomings and challenges of current discrete manufacturing shop operation mode, an intelligent discrete shop proactive scheduling mode enabled by 5G is proposed. The proposed mode transformed the traditional passive scheduling into a proactive scheduling of "interconnection-prediction-regulation". For the uncertain events such as delivery date change and machine failure in actual workshops, a cloud-edge-terminal collaboration system for multi-source heterogeneous data interconnection and communication is constructed through 5G, which breaks down the communication barriers between different levels, realizes the real-time data perception of all production factors, and uploading and issuing of production instructions; Based on the sensory data, the proactive scheduling realizes accurate prediction of workshop running state and uncertain events with advanced artificial intelligence algorithms, such as deep learning. And the proposed mode builds a cloud-edge-terminal collaboration scheduling mechanism with hybridization of scheduling rules and algorithms, which proactively adjusts scheduling process according to the results of prediction and optimizes the allocation of resources. The proposed mode can reduce the impact of abnormal events on the production process, implement workshop performance optimization in the complicated dynamic manufacturing environment.

Key words: discrete manufacturing, proactive scheduling, 5G interconnection, uncertainty prediction, operation control

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