摘要
针对当前教室内人少大面积照明和无人照明的情况,设计了一种基于WiFi的教室智能照明系统。利用WiFi的接收信号强度指示(receivedsignalstrengthindication,RSSI)对室内人员进行非接触识别,根据反向传播(backpropagation,BP)神经网络分析人进入室内后WiFi的RSSI波动规律,反推其传播路径中环境特征,以此来判别室内人员的存在;在获得室内人员的位置信息后,通过WiFi模块将开关具体灯具的命令无线传输给单片机控制系统,借助单片机完成对教室照明灯的智能控制,只打开人所处区域的灯具,以节省电能。最终系统的准确率高达84%,市场发展前景良好。
Aiming at the problem of large-area-illumination with little people or the light on in empyty classroom,a WiFi-based intelligent illumination system for classroom was designed.Using the received signal strength indication(RSSI)of WiFi for non-contact identification of indoor people,the RSSI fluctuation pattern of WiFi after people enter the room was analyzed according to back propagation(BP)neural network,and the environmental characterisitics in its propagation path were reversely infer,so as to discern the presence of the indoor people.After obtaining the position information of the indoor people,the command to switch the corresponding lights would be transmitted wirelessly to the microcontrollers through WiFi module.In order to save the electricity,the control system would accomplish the intelligent control of classroom lights by switching on the lamps in the area where people were existed through microcontrollers.The accuracy of the final system was 84%.The system might have good market development prospects.
作者
彭意贺
霍春光
武浩宇
刘影
PENG Yihe;HUO Chunguang;WU Haoyu;LIU Ying(School of Electronics and Information Engineering,Liaoning Technical University,Huludao,Liaoning 125105,China)
出处
《中国科技论文在线精品论文》
2022年第2期160-167,共8页
Highlights of Sciencepaper Online
基金
辽宁省自然科学基金(2019-ZD-0038)
辽宁省省级大学生创新创业训练项目(S202010147003)
关键词
信息处理技术
BP神经网络
WiFi指纹
接收信号强度指示
照明控制
information processing technology
BP neural network
WiFi fingerprint
received signal strength indication
lightening control
作者简介
彭意贺(2000—),女,本科生,主要研究方向:WiFi室内定位;通信联系人:刘影,副教授,主要研究方向:无线定位、智能无线感知,E-mail:lycommunication@126.com
