基于灰色模型预测的无线传感器网络鸡舍环境射频信号衰减试验  

Test of Wireless Sensor Networks Radio Frequency Signal Attenuation Based on Grey Model in Chicken Houses

作　　者：金濯[1] 曹元军[2] 翟旭军[1] 王新忠[3] 

机构地区：[1]江苏畜牧兽医职业技术学院,江苏泰州225300 [2]泰州职业技术学院,江苏泰州225300 [3]江苏大学生物机电工程研究院,江苏镇江202013

出　　处：《安徽农业科学》2012年第26期13161-13163,共3页Journal of Anhui Agricultural Sciences

基　　金：2011年度泰州市科技计划项目TG1134"基于物联网技术的鸡舍环境监测系统研究";2010年度江苏畜牧兽医职业技术学院立项课题"基于无线传感器网络的鸡舍环境监测系统研究"(YB201009)

摘　　要：为解决应用无线传感器网络技术监测封闭式鸡舍环境信息时无法快速预测射频信号衰减的问题,基于灰色模型预测理论研究了鸡舍环境射频信号强度衰减与其影响因素间的关系。试验中选取433 MHz载波频率,分析了无线传感器节点射频信号受节点高度、鸡笼高度、通讯距离等因素作用下射频信号的衰减情况,建立和验证了基于灰色理论的射频信号衰减预测模型。运用所建立模型的预测值与实测值对比,最大预测误差绝对值为6.52 dBm,预测准确率为90.5%,所建灰色模型可以用来预测鸡舍环境射频信号强度衰减。In order to solve the problem that radio frequency （RF） signal could not be easily retrieved during the process of wireless sensor networks （WSN） application in chicken houses, the relationships between WSN RF signal in egg chicken houses and their impact factors were studied based on grey model （GM）. 433 MHz was selected in the test,the attenuation of RF signal in egg chicken houses was analyzed with impact factors including WSN nodes＇ heights, hencoops＇ heights, communication distances,etc.. Prediction GM of WSN RF signal in chicken houses was achieved through measuring RF signal intensity. It was verified that the highest prediction error was 6.52 dBm, and prediction accuracy was 90.5%. The designed GM is suitable for prediction of RF signal intensity in chicken houses.

关 键 词：蛋鸡舍 无线传感器节点 射频信号 灰色模型 

分 类 号：S126[农业科学—农业基础科学]