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Intelligent Inspection System of Coal Preparation Plant Based on Dynamic QR Code

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6GN for Future Wireless Networks (6GN 2023)

Abstract

To reduce the complexity and insecurity of the traditional safety inspection methods of coal preparation plants in the coal industry, an intelligent inspection system of coal preparation plants using dynamic two-dimensional code technology is proposed. The system solution applies dynamic two-dimensional code technology to realize the regular update of the two-dimensional code on the display end of each board. The system server can visually formulate inspection tasks and query inspection records. The system uses cloud development technology to enable users to identify dynamic QR codes through mini programs on mobile Apps, so as to obtain QR code information. Thus, users can fill in the inspection information in the WeChat mini program and upload the inspection information to the server. By comparing with the local QR code to send information, the location positioning of user inspection is realized. Positioning via QR codes is more accurate than traditional GPS positioning. And the use of dynamic QR codes improves system security compared to traditional static QR codes. The system is safe and simple to operate, which can effectively improve the inspection efficiency and reduce the workload.

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Correspondence to Cheng Cai .

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© 2024 ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering

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Wu, Z., Xu, X., Gao, Y., Liang, X., Cai, C. (2024). Intelligent Inspection System of Coal Preparation Plant Based on Dynamic QR Code. In: Li, J., Zhang, B., Ying, Y. (eds) 6GN for Future Wireless Networks. 6GN 2023. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 553. Springer, Cham. https://doi.org/10.1007/978-3-031-53401-0_5

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  • DOI: https://doi.org/10.1007/978-3-031-53401-0_5

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-031-53400-3

  • Online ISBN: 978-3-031-53401-0

  • eBook Packages: Computer ScienceComputer Science (R0)

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