摘要
针对传统智能家居的健康状态和安全监控主要依赖人工定检的问题,论文将基于Android的物联网技术引入了智能家居状态监测和安全评估中,构建了智能家居远程监控系统。该系统的Android远程操作基于MVP模式开发应用程序,利用神经网络处理用户日常使用操作数据建立起的网络数据模型,结合S3C2440A微控制器将网关中移植了嵌入式Linux以便于不同智能家居驱动程序的开发。最后运用电力线通信网络将各智能电器的网关进行连接,通过计算路由节点的组网成功率结果可得:15组各20个智能电器的网络节点接入成功监控率达到98.33%,该系统能够对智能家居众多电器进行同时监控,解决了系统的数据并发造成网络堵塞而无法安全监控的问题。
In view of the problem that the health status and safety monitoring of the traditional intelligent home are mainly de.pendent on the manual inspection,this paper introduces the intelligent home-based remote monitoring system by introducing the In.ternet-based Internet of Things technology into the intelligent home condition monitoring and safety assessment. The system..s An.droid remote operation based on the MVP model to develop applications,the use of neural networks to deal with users daily use ofoperational data to establish the network data model,combined with S3C2440A microcontrollers in the gateway to the embeddedLinux to facilitate different smart home drivers development. Finally,the power line communication network is used to connect theintelligent electrical appliances to the gateway. By calculating the success rate of the routing nodes,the success rate of the networknodes of 15 intelligent devices is 98.33%. The system can intelligent home many electrical appliances at the same time monitoring,to solve the system data and network congestion caused by the problem can not be security monitoring.
出处
《计算机与数字工程》
2017年第11期2295-2300,共6页
Computer & Digital Engineering
