摘要
针对传统定位系统存在定位耗时长以及定位准确度差的问题,提出并设计基于LBS云平台的微信小程序二维码区域定位系统。系统整体架构分为LBS云服务、中心数据处理和小程序二维码定位端三部分。从服务器端模块、处理器以及定位模块入手设计硬件,为系统构建提供基础。软件设计中,采集微信小程序二维码区域图像,对图像边缘特征进行增强与滤波处理,依据处理后的图像边缘特征确定定位目标,完成微信小程序二维码区域定位系统设计。实验结果表明,该系统的定位耗时相当于传统系统的50%,定位准确率始终保持在99.5%以上,具有显著优势。
In allusion to the problems of long time⁃consumption positioning and poor positioning accuracy in the traditional positioning system,a two⁃dimensional code area positioning system based on micro⁃message small program on LBS cloud platform is proposed and designed.The overall architecture of the system is constructed,which is divided into three parts:LBS cloud service,central data processing and two⁃dimensional code positioning terminal of small program.The hardware is designed from three modules:server module,processor module and positioning module,which provides the basis for the system construction.In the software design,the images of two⁃dimensional code area of the WeChat applet are collected.The image edge features are performed the enhancement and filtering processing,after which the location object is determined to complete the design of the two⁃dimensional code area location system of the WeChat applet.The experimental results show that the positioning time⁃consuming of the system is about 50%of the traditional system,and the positioning accuracy is always above 99.5%,which has significant advantages.
作者
陆霞
LU Xia(School of Information and Engineering,Nanjing Normal University Taizhou College,Taizhou 225300,China)
出处
《现代电子技术》
北大核心
2020年第4期180-182,186,共4页
Modern Electronics Technique
基金
教育部-腾讯公司微信事业部产学合作协同育人项目(201801002020)
南京师范大学泰州学院教改研究项目(2018JG07029)
关键词
二维码区域
定位系统
LBS云平台
图像采集
边缘特征处理
仿真实验
two⁃dimensional code
positioning system
LBS cloud platform
image capture
edge feature processing
simulation experiment