Automatic spray shop monitoring system based on digital twin

Hangxing Ma; Jiangmin Xu

doi:10.1117/12.3035305

7 August 2024 Automatic spray shop monitoring system based on digital twin

Hangxing Ma, Jiangmin Xu

Author Affiliations +

Proceedings Volume 13224, 4th International Conference on Internet of Things and Smart City (IoTSC 2024); 1322425 (2024) https://doi.org/10.1117/12.3035305
Event: 4th International Conference on Internet of Things and Smart City, 2024, Hangzhou, China

Abstract

A digital-based method was proposed to address challenges in large-scale segmented hull automated spraying workshops, such as the production of toxic gases and solid particles during operations, hindering real-time monitoring of spraying activities. The method focuses on the mismatch between site data and process system performance, leading to poor film quality. The intelligent monitoring method of twin technology establishes a system architecture for a digital twin five-dimensional model, exploring twin model establishment and data-driven technology. Specifically, a new digital twin modeling method for spray film thickness was studied and validated through experiment-simulation comparisons, showing high accuracy in restoring film thickness and uniformity. The system leverages the iterative nature of the spraying process to accumulate and process on-site data, allowing for iterative optimization of spraying process parameters to enhance efficiency and quality.

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

Citation Download Citation

Hangxing Ma and Jiangmin Xu "Automatic spray shop monitoring system based on digital twin", Proc. SPIE 13224, 4th International Conference on Internet of Things and Smart City (IoTSC 2024), 1322425 (7 August 2024); https://doi.org/10.1117/12.3035305

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