摘要
针对传统家居安全监控系统存在能耗分布不均匀、网络时延长和误警率高等问题,提出并设计基于物联网的智能家居安全监控系统。将系统划分为感知模块、安全处理模块和设备监控终端三大部分,依据系统架构设计硬件和软件,硬件部分主要从图像识别模块和语音识别模块入手进行详细分析;软件部分,利用热释电红外传感器和振动传感器对防盗信息进行感知,完成防盗监控,结合有毒气体、烟雾和温度三者分析完成火灾监控报警,实现了智能家居安全监控系统设计。实验结果表明,该系统网络生存周期较长,且相较于传统系统,平均网络时延降低了18.5 s,平均误警率降低了18.2%,表明该系统具有较强的可行性。
An intelligent home security monitoring system based on the Internet of Things is proposed and designed to solve the problems of uneven distribution of energy consumption,large network time delay and high false alarm rate of the traditional home security monitoring system. The system is divided into the perceptual module,security processing module and equipment monitoring terminal. The hardware and software are designed according to the system architecture. For the hardware part,detailed analysis is conducted proceeding from the image recognition module and speech recognition module. In the software part,the pyroelectric infrared sensor and vibration sensor are used to perceive the anti-theft information,so as to complete the anti-theft monitoring. The fire monitoring and alarm are completed by combining the analysis of toxic gas,smoke and temperature,so as to realize the design of the intelligent home security system. The experimental results show that the network lifetime of the system is long,and in comparison with the traditional system,the system′ s average network delay is reduced by 18.5 s,and its average false alarm rate is reduced by 18.2%,which indicate that the system has a strong feasibility.
作者
杨丽
冯娟
卢秀丽
刘强
YANG Li;FENG Juan;LU Xiuli;LIU Qiang(China University of Geosciences Great Wall College,Baoding 071000,China)
出处
《现代电子技术》
北大核心
2019年第8期55-58,共4页
Modern Electronics Technique
基金
国家自然科学基金项目(61501412)
2018年河北省高等学校科学技术研究项目(QN2018333)
中国地质大学长城学院2017年度校级科研项目立项(ZDCYK1701)~~
关键词
物联网
智能家居
图像识别模块
语音识别模块
防盗监控
火灾报警
Internet of Things
smart home
image recognition module
speech recognition module
anti-theft monitoring
fire alarm