A shop floor modelling and co-simulation approach for online production progress evaluation

Mingyuan Liu, Hanqin Yang, Jian Zhang, Shengfeng Qin, Jianlin Fu, Guofu Ding

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

The combination of cloud computing and simulation technology has given rise to cloud simulation, making the implementation of workshop production simulation applications more convenient and simulation services easier to deploy. However, the current implementation of production cloud simulation in discrete manufacturing workshops has reduced the timeliness of workshop production simulation due to the cumbersome model construction and application of a large number of heterogeneous devices, as well as the latency problem caused by the large amount of simulation calculations and data, which has limited the further application of workshop cloud simulation services, and led to the difficulty of assessing and predicting the workshop production state online based on cloud simulation. Aiming at the above difficulties, an online workshop production state simulation method based on cloud-client collaboration is proposed. Firstly, a unified componentized model of equipment is constructed based on multi-dimensional information, which improves the speed of model construction and service generalization, and secondly, a collaborative simulation operation mechanism is proposed, which decouples the system-level simulation from the component-level simulation and puts it into the server-side and the client-side operation respectively, and improves the efficiency of real-time multi-granularity simulation of the production progress of the discrete workshop by combining event-driven and data-driven methods. Finally, an online simulation platform for discrete shop production is designed and developed, and the method is verified by examples, which reduces the volume of network transmission data by 19.4% for a single simulation.
Original languageEnglish
Title of host publicationThe 29th International Conference on Automation and Computing (ICAC2024)
Place of PublicationPiscataway, US
PublisherIEEE
Pages1-6
Number of pages6
ISBN (Electronic)9798350360882
ISBN (Print)9798350360899
DOIs
Publication statusPublished - 28 Aug 2024
EventThe 29th International Conference on Automation and Computing (ICAC 2024): Smart Systems and Digital Healthcare - Sunderland, United Kingdom
Duration: 28 Aug 202430 Aug 2024
https://cacsuk.co.uk/icac/

Conference

ConferenceThe 29th International Conference on Automation and Computing (ICAC 2024)
Country/TerritoryUnited Kingdom
CitySunderland
Period28/08/2430/08/24
Internet address

Keywords

  • Cloud simulation
  • Modeling & Simulation
  • Collaborative simulation
  • Progress evaluation

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