The QR code intelligent positioning system of the LBS cloud platform in the Internet of things environment

Journal: Journal of Autonomous Intelligence DOI: 10.32629/jai.v3i2.338

Xinyue Wang, Haibao Wang


Aiming at the problems of long positioning time and poor positioning accuracy in traditional positioning systems, a WeChat applet QR code area positioning system based on the LBS cloud platform is proposed and designed. The overall architecture of the system is divided into three parts: LBS cloud service, central data processing, and QR code positioning terminal for small programs. The hardware is designed from the server-side module, processor and positioning module to provide a basis for system construction. In the software design, the WeChat applet QR code area image is collected, the image edge features are enhanced and filtered, the positioning target is determined according to the processed image edge features, and the WeChat applet QR code area positioning system design is completed. The experimental results show that the positioning time of the system is equivalent to 50% of the traditional system, and the positioning accuracy is always maintained above 99.5%, which has significant advantages.


QR Code Area; Positioning System; LBS Cloud Platform; Image Acquisition; Edge Feature Processing; Simulation Experiment


[1]Zhuang Ying, Huang Lina, Zheng Hengjie, et al. Design and implementation of indoor navigation electronic map supported by two-dimensional code positioning technology: Taking Wuhan University Library as an example[J]. Bulletin of Surveying and Mapping, 2017, 33(5): 125-128 .
[2] Xia Lingyun, Gong Wentao. Smart campus LBS application design based on WeChat public platform and iBeacon[J]. Microcomputer Application, 2016, 32(12): 50-53.
[3]Cha Jinchao, Wang Zhijie. Research on mobile terminal positioning based on GPS and LBS[J]. Electronic Testing, 2016, 45(17): 86-87.
[4]Lan Jie, Zhang Haoran. Extraction of QR code region based on BP neural network [J]. Microcomputer and Application, 2015, 34(1): 50-52. [5] Gao Fei, Linghu Qianjin, Ge Yisu, et al. Based on Laser QR code positioning method based on position discrimination[J]. Journal of Computer Aided Design and Graphics, 2017, 29(6): 1060-1067.
[5]Luo Gao, Yuan Liang. Research on the positioning of monocular vision ranging mobile robot based on two-dimensional code[J]. Modular Machine Tool and Automatic Processing Technology, 2017, 41(10): 114-117.
[6]Chen Xiaohong, Qian Chen, Hong Wenxin, et al. Visible light indoor positioning method and implementation based on two-dimensional code[J]. Electronic Science and Technology, 2017, 16(12): 34-38.
[7]Li Changyong, Fang Aiqing, Yuan Liang, et al. Research on home service robot positioning system[J]. Machine Design and Manufacturing, 2017, 39(7): 248-251.
[8]Zhu Yuqiang. Application Practice of WeChat Mini Programs in Library Mobile Services—Taking Shelves Game as an Example[J]. Library Forum, 2017, 37(7): 132-138.
[9]Yang Yazhou, Tang Jianqing, Wang Jun. Development of a teaching tool for precise identification of Chinese herbal medicines based on WeChat applet and QR code technology[J]. Pharmaceutical Education, 2017, 33(5): 73-76.

Copyright © 2021 Xinyue Wang, Haibao Wang

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