Intelligent manufacturing system based on AI parameter modification

Xiongwei Qiu; Lianzhi Shi; Jiale Ren

doi:10.1117/12.3038002

9 August 2024 Intelligent manufacturing system based on AI parameter modification

Xiongwei Qiu, Lianzhi Shi, Jiale Ren

Proceedings Volume 13220, Third International Conference on Mechatronics and Mechanical Engineering (ICMME 2024); 132200R (2024) https://doi.org/10.1117/12.3038002
Event: International Conference on Mechatronics and Mechanical Engineering (ICMME 2024), 2024, Xi'an, China

Abstract

The traditional manufacturing system cannot effectively coordinate and balance control over multiple functional segments in the design process. This not only results in certain errors in the connection between functional segments, but also leads to lower precision in welding and assembly of mechanical components, thereby affecting the production yield of specific manufactured objects. Based on the above problems, an intelligent manufacturing system based on AI parameter correction is proposed. By establishing a hardware configuration for AI data collection and redesigning the hardware framework, real-time data collection for different functional segments can be achieved. The key point is to implement parameter correction during the handover process between functional segments through AI analysis and calculation of the data, ensuring the manufacturing system's yield rate. This method is applied to shipbuilding, and the effectiveness and superiority of the proposed design system are demonstrated through a comparison of yield rates with traditional manufacturing systems.

(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Xiongwei Qiu, Lianzhi Shi, and Jiale Ren "Intelligent manufacturing system based on AI parameter modification", Proc. SPIE 13220, Third International Conference on Mechatronics and Mechanical Engineering (ICMME 2024), 132200R (9 August 2024); https://doi.org/10.1117/12.3038002

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