An SNN Ontology Based Environment Monitoring Method for Intelligent Irrigation System  

作　　者：LI Shuoming CHEN Lei CHEN Shihong 李硕明;陈磊;陈世鸿(National Engineering Research Center for Multimedia Software,Wuhan University;School of Computer Science,Wuhan University)

机构地区：[1]National Engineering Research Center for Multimedia Software [2]School of Computer Science,Wuhan University,Wuhan 430072,China

出　　处：《Journal of Shanghai Jiaotong university(Science)》2018年第4期577-583,共7页上海交通大学学报（英文版）

基　　金：the National Natural Science Foundation of China(No.61100133);the Science Guidance Project of Education Department of Hubei Province(No.B20101104)

摘　　要：In order to realize high precision of environment parameters detection in irrigation applications,a sensor and sensor network(SSN) ontology based data fusion method is proposed.An SSN sub-ontology for soilstate monitoring is revised,which includes the sensing devices hierarchies and measurement properties selection according to the detection feature interests.As for sensor data processing,a tuning data method by data pool filtering and clustering is adopted,as well as a useful data fusion method for multi-sensor system.The testing results show that both the accuracy and efficiency of the proposed method are higher after related filtering and clustering process,which enables a thorough monitoring for intelligent irrigation systems and can be extended into environment monitoring and control applications.In order to realize high precision of environment parameters detection in irrigation applications, a sensor and sensor network （SSN） ontology based data fusion method is proposed. An SSN sub-ontology for soil- state monitoring is revised, which includes the sensing devices hierarchies and measurement properties selection according to the detection feature interests. As for sensor data processing, a tuning data method by data pool filtering and clustering is adopted, as well as a useful data fusion method for multi-sensor system. The testing results show that both the accuracy and efficiency of the proposed method are higher after related filtering and clustering process, which enables a thorough monitoring for intelligent irrigation systems and can be extended into environment monitoring and control applications.

关 键 词：sensor and sensor network(SSN) data fusion intelligent irrigation environment monitoring 

分 类 号：TP391[自动化与计算机技术—计算机应用技术]