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[期刊]

Method of digital twin logic model oriented to production line simulation

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Author:

Shi, Jiahong (Shi, Jiahong.) | Liu, Xiaojun (Liu, Xiaojun.) | Liu, Tingyu (Liu, Tingyu.) | Unfold

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Abstract:

Production line simulation is a prerequisite to ensure the correctness, rationality and effectiveness of a plan of the production design, and the simulation of the correctness of the production line logic is the most critical. To realize the production line simulation technology based on the digital twin, a method of digital twin logic model construction oriented to the production line simulation was proposed. First of all, the composition architecture of the production line simulation system was proposed. Then, the construction method of the digital twin logical model was explained from the four dimensions of geometry, physics, production behavior, and simulation rules. The definition methods of geometric attributes and physical attributes were introduced in detail, and the production behavior was defined by finite state machine and three types of simulation rules, which include messaging rules, synchronous advance rules and mutual exclusion priority rules. The production line logic simulation prototype system was developed based on the method of model construction finally, and the effectiveness of the modeling method was verified through the simulation of the production line example. © 2022, Editorial Department of CIMS. All right reserved.

Keyword:

Computer circuits

Author Community:

  • [ 1 ] [Shi, Jiahong]School of Mechanical Engineering, Southeast University, Nanjing; 211189, China
  • [ 2 ] [Liu, Xiaojun]School of Mechanical Engineering, Southeast University, Nanjing; 211189, China
  • [ 3 ] [Liu, Tingyu]School of Mechanical Engineering, Southeast University, Nanjing; 211189, China
  • [ 4 ] [Tao, Fei]School of Automation Science and Electrical Engineering, Beihang University, Beijing; 100191, China
  • [ 5 ] [Hu, Tianliang]School of Mechanical Engineering, Shandong University, Jinan; 250061, China
  • [ 6 ] [Sun, Zheng]State Key Laboratory for Manufacturing Systems Engineering, Xi'an Jiaotong University, Xi'an; 710049, China
  • [ 7 ] [Xu, Jun]State Key Laboratory for Manufacturing Systems Engineering, Xi'an Jiaotong University, Xi'an; 710049, China
  • [ 8 ] [Qi, Qinglin]School of Automation Science and Electrical Engineering, Beihang University, Beijing; 100191, China
  • [ 9 ] [Qi, Qinglin]Department of Industrial and Systems Engineering, The Hong Kong Polytechnic University, Hong Kong; 999077, Hong Kong
  • [ 10 ] [Huang, Jiasheng]School of Mechanical Engineering, Southeast University, Nanjing; 211189, China
  • [ 11 ] [Zhu, Minghao]School of Mechanical Engineering, Southeast University, Nanjing; 211189, China
  • [ 12 ] [Yue, Shichao]School of Mechanical Engineering, Southeast University, Nanjing; 211189, China

Reprint Author's Address:

  • X. Liu;;School of Mechanical Engineering, Southeast University, Nanjing, 211189, China;;email: liuxiaojun@seu.edu.cn;;

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Source :

Computer Integrated Manufacturing Systems, CIMS

ISSN: 1006-5911

Year: 2022

Issue: 2

Volume: 28

Page: 442-454

Cited Count:

WoS CC Cited Count:

SCOPUS Cited Count: 19

30 Days PV: 6

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