201419(2):189-195 JournalofChinaAgriculturalUniversity htp: xuebao.cau.edu.cn DOI:10.11841/j.issn.1007-4333.2014.02.28 1234 1 234* 234 34 (1. 524025;2. 100083; 3. 100083; 4. 100083) 为降低南美白对虾养殖风险 提高其疾病诊断与防治水平 将多种传感器在线采集的对虾养殖生态环境 数据 3G 手机获取的疾病图片和疾病诊治经验等多种数据进行融合 采用基于案例推理和规则推理相集成的混合 推理 粗糙集融合多分类支持向量机 图像处理等多种方法 研制了基于物联网的南美白对虾疾病远程智能诊断系 统在浙江 广东等省对虾养殖区域进行现场验证 试验结果表明 : 该系统不仅实现了远程监测对虾养殖生态环境 数据 对虾疾病图像 诊治经验数据和诊治推理规则等知识管理功能 还能够在多种数据融合的基础上 实现对虾疾病远程智能诊断与防治 疾病预警等功能 物联网 ; 南美白对虾 ; 疾病诊断 ;MVC 架构 TP391 1007-4333(2014)02-0189-07 A Researchonremotesystemfordiseasediagnosis ofpenaeusvannameibasedoninternetofthings LIUShuang-yin 1234 XULong-qin 1 LIDao-liang 234* DUANQing-ling 234 WEIXiao-hua 34 (1.ColegeofInformationGuangdongOceanUniversityZhanjiang524025China; 2.ColegeofInformationandElectricalEngineeringChinaAgriculturalUniversityBeijing100083China; 3.BeijingERCforInternetofThingsinAgricultureChinaAgriculturalUniversityBeijing100083China; 4.BeijingERCforAdvancedSensorTechnologyinAgricultureChinaAgriculturalUniversityBeijing100083China) Abstract ToreducefarmingrisksofPenaeusvanmameiandimprovetheperformanceofdiseasediagnosisthis researchmergedinformationsuchaslivingenvironmentqualityacquired bysensorsimagedatacaptured by3g phonesanddiagnosisrecordstoestablisharemoteinteligentdiseasediagnosissystem.hybridreasoningbasedon caseandrulemulti-classificationsupportvectormachine (SVM)basedonroughsetandimageprocessing were integratedinthe system building.the system was appliedin Zhejiang and Guangdong provincein China.The experimentalresultsshowthatthesystemcannotonlymonitortheinformationsuchasthelivingconditionandimagebut alsomanagethediagnosisrecordsandrules.inadditionthesystemcanbeasaneficienttoolfordiseasediagnosis andpreventionofpenaeusvanamei. Keywords Internetofthings;Penaeusvannamei;diseasediagnosis;MVCarchitecture [1] 2004 2011 :2013-07-17 : (2011BAD21B01); (2011C11006); (2011B0402000342012B091100431); (S2013010014629) : E-mail:hdlsyxlq@126.com : Email:dliangl@cau.edu.cn
190 2014 19 [9] (WSSV) 12.51% ~ [10] 24.23% 80%~90% 1.2 [11] Hujing [12] 3G LiDaoliang [2] Web [3] 1 MDA 1.1 [4] [5] Matlab Li 1.2 Daoliang [2] ; GPRS 3G [6].NET Internet ; [7] [8] Internet 3G
2 : 191 1 1 Fig.1 Topologystructurediagramofsystem 1.3 4 2 MVC(Model-View-Control) 2 Fig.2 Softwarearchitectureofsystem Internet 3G ;
192 2014 19 ; Java JDBC 1.4 ; : 3 3 Fig.3 Functionaldiagramofsystem : 1) : ph ; ; 3G ; 3 2) : 3 3) : BP 1 ph 2 4) :
2 : 193 4 5) : Internet 3G 6) : Fig.4 ModelofdiseasediagnosisbasedRBRandCBR : 1) : CBR 2 2.1 2 3) : 4) : [13] RBR 5) : 2.2 CBR RBR (Rule-BasedReasoningRBR) 6) : CBR RBR [14] (Case-BasedReasoningCBR) 2.3 CBR RBR CBR [15-16] [17] RBR CBR ; RBR CBR 4 RBR CBR
194 2014 19 SVM [17-18] : SVM 5 Fig.5 5 Modelofdiseasediagnosisbasedonmulti-classsupportvectormachineandroughset : Step1 : Step5SVM : SVM SVM SVM ; Step2 : Step4 Step6 : SVM Step3 : 3 Step4 : ( 6) WindowsServer2003 Tomcat7.0 MySql5.6 JDK1.7 J2EE SVM JAVA JavaScript 6 Fig.6 OnlinemonitoringsystemforPenaeusvannameilivingenvironment
2 : 195 IE Netscape 2.2 CBR RBR [J]. / Appl200223:311-320 [3] 30000 48 30 200 400 88% 3447 [7] 218 [8] 4 MVC [11] 3G (1):65-68 2012(88):133-140 [13] [J]. 201235(4):761-766 [14] [J]. 201222(7):53-57 [15] : [J]. 201239(6):163-165 [16] [J]. 201137(1):238-243 [17] MVC [18] [1]. 200827(5):554-559 basedexpertsystemforfishdiseasediagnosis[j].expertsyst. [J]. 2006(2):31-34 [4]. MDA [J]. 200824(2):240-244 [5]. [J]. 200825(3):130-133 [6]..NET. [2] LiDaoliangFu ZetianDuan Yanqing.Fish-Expert:A web- [J]. 200829(13):3444- [J]. : 200632(2):214-. [J]. 200818(10):217-221 [9]. [J]. 201330(3):319-322 [10]. MATLAB [J]. 2007(1):1-4. [J]. 200828 [12]HuJingLi Dao-liangDuan Qing-lingetal.Fish species classificationbycolortextureand multi-classsupportvector machineusing computervision[j].comput Electron Agr..... [J]. : 201141(1):160-163. [J]. 201217(2):72-79 责任编辑 : 刘迎春