期刊文献+

基于嵌入式智能终端的智能农业

Intelligent Agriculture Based on Embedded Intelligent Terminal
下载PDF
导出
摘要 物联网应用场景中,传统的测量网络使用形式是Zigbee网络,这种网络设备有很强的私有性,网络通信需要安全保护,未经过注册外来设备接入网络非常困难,同时农业环境中的测量数据需要方便用户查看,鉴于移动终端常用网络形式为WIFI网络,在一款A9内核的智能终端基础上实现了智能农业的应用系统,目的是运用智能终端测量农业环境中的Zigbee节点数据和WIFI节点数据。实验方法为采用三星处理器Samsung Exynos4412为终端系统核心控制器,选用交叉编译方式,PC机上建立Linux服务器,运行网关软件,采用Socket端口将终端接收的数据送至Android应用程序,用户发送命令从客户端到达服务器,以此控制底层传感器节点。测试结果显示运行在嵌入式智能终端的系统性能平稳,Android客户接到传感器设备数据,建立对农业环境的智能观测。 In the application scenarios of the Internet of things,the traditional measurement network is ZigBee.The equipment in such network is of strong privacy,requiring the safety protection of network communication which has a strong private property of the equipment in this network.It is difficult for introduced equipment to join the network without certification.It is also noted that users should be allowed easier access to the measurement data of the agricultural environment.As WIFI network serves as the common network for mobile terminal,this paper proposes an intelligent agricultural application system based on embedded intelligent terminal in order to monitor the ZigBee node data and WiFi node data in agricultural environment.In the experiment,Samsung Exynos4412 is utilized as the core controller of the terminal system and cross compiling as the method.Linux server is established on PC and the gateway software is run.The data received by the terminal is transmitted to Android app through the Socket and the command sent by the users can reach the server from the client to control the underlying sensor node.The experimental results show that the measurement system based on the embedded intelligent terminal runs stably and Android application can receive the information collected from sensors and achieve the intelligent monitoring of the agricultural environment.
作者 李白华 孙涛 Li Baihua;Sun Tao(Economic and Technical College of Anhui Agricultural University,Hefei City,Anhui Province 230011)
出处 《黄河科技学院学报》 2020年第2期89-93,共5页 Journal of Huanghe S&T College
基金 安徽省级科研项目(自然科学重点项目)“JavaScript计算性能对比优化研究”(KJ2019A1239)。
关键词 Exynos4412 智能农业 ANDROID Exynos4412 Intelligent Agriculture Android
  • 相关文献

参考文献13

二级参考文献84

共引文献125

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部