摘要
为实现室内空间管理的智能化和精准化,本文构建一个WiFi指纹室内定位系统。系统基于安卓移动端联合后台管理系统。移动端利用安卓设备采集WiFi信号强度及辅助数据构建本地指纹库,并借助加权KNN算法提升定位精度;后台负责接收、存储数据,整合构建全局指纹库,同时具备管理和优化功能。测试的结果表明,系统在复杂室内环境下定位误差最大为0.36m,能实现不同楼层间精确定位,有效达成了室内空间智能化管理的目标。
To achieve intelligent and precise indoor space management,this article constructs a WiFi fingerprint indoor positioning system.The system is based on the Android mobile joint backend management system.Mobile devices use Android devices to collect WiFi signal strength and auxiliary data to build a local fingerprint database,and use weighted KNN algorithm to improve positioning accuracy;The backend is responsible for receiving and storing data,integrating and building a global fingerprint database,while also having management and optimization functions.The test results show that the maximum positioning error of the system in complex indoor environments is 0.36m,which can achieve precise positioning between different floors and effectively achieve the goal of intelligent management of indoor space.
作者
崔世杰
吴振才
CUI Shijie;WU Zhencai(Department of Information and Electronic Engineering,Shangqiu Institute of Technology,Shangqiu,China,476000)
出处
《福建电脑》
2025年第6期97-100,共4页
Journal of Fujian Computer
关键词
WiFi指纹
室内定位系统
室内空间管理
WiFi Fingerprint
Indoor Positioning System
Indoor Space Management
