Chinese Journal of Intelligent Science and Technology ›› 2023, Vol. 5 ›› Issue (2): 254-266.doi: 10.11959/j.issn.2096-6652.202321

• Special Topic: Frontier of R&D in Parallel Intelligence • Previous Articles     Next Articles

Parallel workshop scheduling model and system design

Shaoming PENG1,2, Gang XIONG1,3, Zhen SHEN1,4, Xisong DONG1,4, Zhiping QU5, Long FU1,2, Zhikun TAO1, Yunjun HAN1   

  1. 1 Beijing Engineering Research Center of Intelligent Systems and Technology, State Key Laboratory of Multimodal Artificial Intelligence Systems, Institute of Automation, Chinese Academy of Sciences, Beijing 100190, China
    2 School of Artificial Intelligence, University of Chinese Academy of Sciences, Beijing 100049, China
    3 Guangdong Engineering Research Center of 3D Printing and Intelligent Manufacturing, Cloud Computing Center, Chinese Academy of Sciences, Dongguan 523808, China
    4 Intelligent Manufacturing Center, Qingdao Academy of Intelligent Industries, Qingdao 266109, China
    5 Northern Institute of Automatic Control Technology, Taiyuan 030006, China
  • Revised:2023-04-27 Online:2023-06-15 Published:2023-06-10
  • Supported by:
    The National Key Research and Development Program of China(2021YFB3301504);The National Natural Science Foundation of China(U19B2029);CAS STS Dongguan Joint Project(20201600200072);CAS STS Dongguan Joint Project(20211600200022)

Abstract:

The workshop environment is a highly dynamic and tightly coupled complex system.A scheduling algorithm cannot be trained once and used for life.It needs to perform computational experiments and progressive learning according to the workshop environment and processing state.In this paper, a parallel workshop scheduling system model was proposed to realize scheduling optimization and system evolution.For this model, we described the modeling of artificial workshop scheduling system based on multi-agent system, the computational experiment for workshop scheduling tasks, and the parallel scheduling method for the virtual-real system, realizing the closed-loop control and iterative optimization.Finally, under the guidance of the parallel workshop scheduling model, we designed the architecture and basic functions of the parallel workshop scheduling system.

Key words: parallel system, computational experiment, parallel workshop scheduling system

CLC Number: 

No Suggested Reading articles found!