Application of big data analysis technology in industrial intelligent inspection system

Yiming Chen

doi:10.1117/12.3055503

12 December 2024 Application of big data analysis technology in industrial intelligent inspection system

Yiming Chen

Author Affiliations +

Proceedings Volume 13439, Fourth International Conference on Testing Technology and Automation Engineering (TTAE 2024); 134392E (2024) https://doi.org/10.1117/12.3055503
Event: Fourth International Conference on Testing Technology and Automation Engineering (TTAE 2024), 2024, Xiamen, China

Abstract

This paper discusses the current status of the application of big data analytics technology in industrial intelligent inspection system as well as the challenges and opportunities. Through combing the related literature, it summarizes three major application scenarios of big data analytics in intelligent inspection system: equipment fault diagnosis, production process monitoring and efficiency management, and safety risk identification and early warning, which provide strong support for the safety, efficiency and quality of industrial production. In addition, we summarize the key technologies applied in this field, including machine learning and deep learning, big data analysis and processing technology, as well as the Internet of Things and sensor technology. The application of these key technologies effectively enhances the intelligent level and practical value of the intelligent inspection system.

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

Citation Download Citation

Yiming Chen "Application of big data analysis technology in industrial intelligent inspection system", Proc. SPIE 13439, Fourth International Conference on Testing Technology and Automation Engineering (TTAE 2024), 134392E (12 December 2024); https://doi.org/10.1117/12.3055503

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