Development mode of intelligent system for discrete manufacturing
- DOI
- 10.2991/978-94-6463-266-8_28How to use a DOI?
- Keywords
- uncertainty; discrete manufacturing; intelligent manufacturing; development mode
- Abstract
To solve various problems caused by the uncertainty in the development process of discrete manufacturing industry represented by aerospace of aerospace, an intelligent manufacturing architecture is proposed. Complementary to the system, the procedure for modeling the product variety and quantity uncertainty is described. Furthermore, the key support modes such as model driven parallel collaborative intelligent design, flexible intelligent production of multi system integration, experimental verification of model physical virtual reality fusion are discussed. The intelligent development mode and the logical relationship between the modules of the development system are expounded systematically, and the method to solve the uncertain problem in the development process is discussed from the perspective of operation mode. It has reference value for the subsequent construction of advanced manufacturing system and the realization of high-efficiency, high-quality and high-efficiency research and production of the products.
- Copyright
- © 2024 The Author(s)
- Open Access
- Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.
Cite this article
TY - CONF AU - Yu Chenglong AU - Zong Zong AU - Li Qiang AU - Gong Maozhen PY - 2023 DA - 2023/10/10 TI - Development mode of intelligent system for discrete manufacturing BT - Proceedings of the 2nd International Conference on Intelligent Design and Innovative Technology (ICIDIT 2023) PB - Atlantis Press SP - 250 EP - 263 SN - 2589-4919 UR - https://doi.org/10.2991/978-94-6463-266-8_28 DO - 10.2991/978-94-6463-266-8_28 ID - Chenglong2023 ER -