Spatiotemporal Video Data Acquisition and Application for Intelligent Manufacturing
DOI: 10.23977/jeis.2023.080202 | Downloads: 5 | Views: 192
Author(s)
Zheng Shikui 1, Cheng Bo 1, Du Feifei 1
Affiliation(s)
1 Weichai Power Co., Ltd., Weifang, Shandong, 261061, China
Corresponding Author
Zheng ShikuiABSTRACT
There are gaps in the basic data collection of engine production line, such as the lack of intuitive and efficient quality tracking methods, the lack of effective evaluation means for the consistency of product assembly process, and the difficulty in supporting further fine management requirements. This paper provides data acquisition and storage application and big data analysis application based on "UWB positioning + video +AI".The UWB high-precision positioning management system is adopted to integrate the UWB high-precision positioning technology with video acquisition technology, and combine with advanced deep learning algorithm to realize the application of production process positioning and video data. The consistency and quality of products are greatly improved, and the level of fine management is also promoted.
KEYWORDS
Data acquisition; quality traceability; fine management; UWB high-precision positioning management system; video acquisition technologyCITE THIS PAPER
Zheng Shikui, Cheng Bo, Du Feifei, Spatiotemporal Video Data Acquisition and Application for Intelligent Manufacturing. Journal of Electronics and Information Science (2023) Vol. 8: 8-12. DOI: http://dx.doi.org/10.23977/10.23977/jeis.2023.080202.
REFERENCES
[1] Chen Tao. Research and promotion of the theory of fine management of production process [J]. China's strategic Emerging Industries (theoretical edition), 2019 (14).
[2] Wen Guangliao. Comparative analysis of the indoor positioning technology of the Internet of Things [J]. China Cable TV, 2021 (1).
[3] Jia Chenliu. Based on UWB [J]. Electronic World, 2020 (20).
[4] Cao Ziteng, Guo Yang, Zhao Zhengxu, Liu Manyun. Review of research on indoor localization techniques [J]. Computer Technology and Development, 2020 (6).
[5] Liu Chang, Ni Xiaoming, Xia Lili, Yu Zhaoxian, Shi Zihui, Yang Siqi. Application of the indoor personnel positioning system based on UWB [J]. Iot Technology, 2022 (2).
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