Design of a Logistics Management System Based on QT

Authors

  • Hongyan Zhang
  • Bing Zhang

DOI:

https://doi.org/10.54097/5nts0n48

Keywords:

Logistics, GD32F103, QT, Cloud Server

Abstract

Based on QT and GD32F103, this paper designs a logistics management system to enable express delivery personnel to remotely obtain the parameters of express deliveries and make timely decisions. The real-time information of express deliveries is collected by a camera and transmitted to the QT end through the UVC protocol. The parsed data is then stored on a cloud server through QT. This system combines user interface design and embedded system technology to achieve the monitoring and sorting of express deliveries.

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References

[1] Chen Dongling. Design of indoor environment monitoring system based on Qt and Wi-Fi [J]. Information Technology and Informatization, 2019, (11): 22-25.

[2] Ning Chunlei, Liu Fanqi, Sun Zaishang. Design of multi-degree of freedom manipulator based on STM32 [J]. Electronic World, 2017,(09):143.

[3] LAN Jie, Zhang Haoran. Design of Micro Stepper Motor Drive Controller Based on STM32 [J]. Micromachines and Applications, 2015,34(01):43-46.

[4] Du Xinkai, Wei Wen, Zhao Zhan. Design and implementation of Smart Home Control System based on STM32 [J]. Electronic Production,2023,31(23):15+29-32.

[5] Yang Zhuofan, Li Lin. Design and implementation of Intelligent Express Delivery System based on STM32 and Cloud Platform [J]. Electronic Production, 2019,32(19):28-30+77.

[6] Mei Xinyuan, Hou Zhesheng. Design of Medical Remote Monitoring System based on QT and STM32 [J]. Industrial Control Computers,2024,37(09):159-160.

[7] LI Zengliang, Xu Song, Yan Liqiang, Hu Peng. Design of Shield Pump Remote Monitoring System based on embedded and Qt [J]. Instrument User,2021,28(09):10-14.

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Published

28-04-2025

Issue

Section

Articles

How to Cite

Zhang, H., & Zhang, B. (2025). Design of a Logistics Management System Based on QT. Frontiers in Computing and Intelligent Systems, 12(1), 6-9. https://doi.org/10.54097/5nts0n48