[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

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1 201419(2): JournalofChinaAgriculturalUniversity htp: xuebao.cau.edu.cn DOI: /j.issn * ( ; ; ; ) 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 TP (2014) 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] : : (2011BAD21B01); (2011C11006); (2011B B ); (S ) : hdlsyxlq@126.com : dliangl@cau.edu.cn

2 [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

3 2 : Fig.1 Topologystructurediagramofsystem MVC(Model-View-Control) 2 Fig.2 Softwarearchitectureofsystem Internet 3G ;

4 ; Java JDBC 1.4 ; : 3 3 Fig.3 Functionaldiagramofsystem : 1) : ph ; ; 3G ; 3 2) : 3 3) : BP 1 ph 2 4) :

5 2 : ) : Internet 3G 6) : Fig.4 ModelofdiseasediagnosisbasedRBRandCBR : 1) : CBR ) : 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

6 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

7 2 : 195 IE Netscape 2.2 CBR RBR [J]. / Appl200223: [3] % 3447 [7] 218 [8] 4 MVC [11] 3G (1): (88): [13] [J] (4): [14] [J] (7):53-57 [15] : [J] (6): [16] [J] (1): [17] MVC [18] [1] (5): basedexpertsystemforfishdiseasediagnosis[j].expertsyst. [J]. 2006(2):31-34 [4]. MDA [J] (2): [5]. [J] (3): [6]..NET. [2] LiDaoliangFu ZetianDuan Yanqing.Fish-Expert:A web- [J] (13):3444- [J]. : (2):214-. [J] (10): [9]. [J] (3): [10]. MATLAB [J]. 2007(1):1-4. [J] [12]HuJingLi Dao-liangDuan Qing-lingetal.Fish species classificationbycolortextureand multi-classsupportvector machineusing computervision[j].comput Electron Agr..... [J]. : (1): [J] (2):72-79 责任编辑 : 刘迎春

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大连软~1 大连软件职业学院高等职业教育质量年度报告 ( ) 二〇一六年一月 ( 二学 2...4 大连软件职业学院高等职业教育质量报告 (2015)...4 目录一学院基本情况二办学基本信...8...6...7 息 ( 一 ) 明确办学思路, 科学谋划发展战略 ( 二 )