期刊文献+

基于DSP和模糊神经网络种蛋识别系统 被引量:3

Design and experiment of corn field monitoring system based on wireless sensor networks
下载PDF
导出
摘要 针对传统的无线传感器网络监测农田范围小、采样频率不足和能耗高等问题,本文设计了基于簇状结构的无线传感器网络监控系统,能实现对玉米田环境参数的测量。该网络拓扑结构是簇状结构,分为2个簇,8个终端采集节点,2个簇首节点和1个汇聚节点。为延长生存期、降低能耗,节点采用定时休眠,依据节点功能采用不同供电模块,简化协议固定簇內终端节点和簇首的位置。设计WSN-CFM(Corn Field Monitoring)系统能实现近端计算机控制信息采集、处理、传输和存储农田参数变化状况。试验节点部署在玉米田,8个终端节点有7个终端节点数据的传输正确率均超过85%,正确率较低的节点更换电池后可正常工作。系统是能实现稳定传输,适合对玉米田环境参数实时监测。 In view of the small monitoring scope and high energy consumption of traditional wireless sensor network in farmland, a practical operating system of wireless sensor networks was designed and implemented to monitor the corn field parameters. The network topology was cluster structure and divided into two clusters. It had 8 terminal acquisition nodes, 2 cluster head nodes and 1 gathering node. To prolong the life time and reduce energy consumption, the node used regular dormancy. It simplified the protocol and fixes terminal nodes and cluster head nodes through using different power supply modules. The design of WSNCFM(Corn Field Monitoring) system can realize automatic data collection, processing, transmission and storage of farmland parameters by proximal computer.Test nodes were deployed in the corn field, and the data transmission accuracy of 7 terminal nodes was higher than 85% out of 8 samples. Low accuracy node can work normally after replacing the battery. So the system could achieve stable transmission and is suitable for real-time monitoring.
出处 《中国农机化学报》 北大核心 2014年第5期175-178,共4页 Journal of Chinese Agricultural Mechanization
基金 吉林农大青年启动基金(201327)--吉林省农产品加工业专利竞争态势分析及技术创新能力研究 吉林农大青年启动基金(201227)--基于DSP图像处理的鸡蛋品质无损分级研究 吉林省教育厅"十二五"规划课题(201356)--农田大规模传感器网络数据管理技术研究 吉林省教育厅"十二五"规划课题(201247)--基于优化决策树算法的耕地地力等级评价的研究
关键词 数字信号处理器 模糊神经网络 受精蛋检测 corn field wireless sensor networks monitoring system cluster
  • 相关文献

参考文献7

二级参考文献83

共引文献69

同被引文献52

引证文献3

二级引证文献16

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