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作 者:江治国[1] JIANG Zhiguo(School of Electrical Technology,Anhui Vocational College of Defense Technology,Lu’an 237011,China)
机构地区:[1]安徽国防科技职业学院电气技术学院,安徽六安237011
出 处:《太原学院学报(自然科学版)》2024年第3期20-26,共7页Journal of TaiYuan University:Natural Science Edition
基 金:2021年度安徽省高校学科(专业)拔尖人才学术资助项目(gxbjZD2021129);安徽省教育厅质量工程项目(2021jxtd056)。
摘 要:为提升智能家居安防的效果,设计了基于物联网云平台与多传感器技术融合的智能家居安防系统。该系统由感知层、网络层、云计算层和应用层4层结构组成。其中,感知层主要应用多种传感器采集家庭各种数据;网络层利用ZigBee传输协议将感知层采集数据通过无线网络传送至云端;云计算层通过多种监测模型对网络层上传数据进行监测,并将监测结果上传至应用层;应用层的中央处理器判定接收到的云计算层上传的监测结果为出现安防问题后,将信息发送至房主的移动设备,并发出报警。实验结果表明:该系统在入侵测试时可以准确拍摄入侵者的面部图像;在火灾检测时,在12~18 s内便可发出火灾警报。针对不同种类的安全隐患,该系统均能针对性地发出警报,提醒房主。To enhance the effectiveness of smart home security protection,a smart home security system is designed based on the Internet of Things cloud platform and multi-sensor fusion technology.The system consists of four layers:perception layer,network layer,cloud computing layer,and application layer.Among them,the perception layer mainly collects various household data via sensors;the network layer transmits the data collected by the perception layer to the cloud through wireless networks under the ZigBee transmission protocol;the cloud computing layer monitors the data uploaded by the network layer through various monitoring models and uploads the monitoring results to the application layer.After the central processing unit of the application layer determines that the monitoring result received from the cloud computing layer is a security issue,it sends the information to the homeowner’s mobile device and sets off an alarm.The experimental results indicate that the system can accurately capture facial images of intruders during intrusion testing.A fire alarm can be issued within 12-18 s during fire detection.Hence,the system can issue targeted alerts to remind homeowners of different types of safety hazards.
关 键 词:物联网 云计算 传感器 ZIGBEE 异常检测 家居安防
分 类 号:TN92[电子电信—通信与信息系统]
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