摘要
该文设计了一种基于BP神经网络的室内可见光定位系统。该系统实验是在1 m×1 m×1 m的正方体空间模型内,由3个照度传感器、单片机和液晶显示屏组合成的光照度接收装置采集实验数据,并在MATLAB中使用BP神经网络算法对采集的数据进行处理。仿真结果表明,该定位系统能够在室内较好地定位,可以在智能物流仓库、智能家居机器人等领域应用。
In this paper,an indoor visible light location system based on BP neural network is designed.The experiment of this system is to collect the experimental data in the cube space model of 1m×1m×1m,which is composed of three illumination sensors,single chip microcomputer and liquid crystal display screen.In addition,BP neural network algorithm is used to process the collected data in MATLAB.The simulation results show that the positioning system can be well positioned indoors and can be applied to intelligent logistics warehouse and intelligent home robot.
作者
王正
朱玉业
张中成
WANG Zheng;ZHU Yuye;ZHANG Zhongcheng(School of Information Science and Engineering,Shenyang University of Technology,Shenyang,Liaoning Province,110000 China;Zhuhai Shixin Medical Technology Co.,LTD.,Zhuhai,Guangdong Province,519000 China;Liaoning Science and Technology University Iot Technology Co.,LTD.,Anshan,Liaoning Province,114000 China)
出处
《科技资讯》
2021年第1期81-84,共4页
Science & Technology Information
关键词
可见光
单片机
定位
神经网络
Visible light
MCU
Positioning
Neural network
