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410082。、。K-means。。GPRS/GPSK-meansTP273+.4A1003-188X201505-0229-060。。、、。。“”“”20hm220hm2、、。。1GPRS/GPSInternet2014-05-19“”2012BAD35B061964-E-mailzediot@163.com。1989-E-mailmarvellouszhang@163.com。、、、、1。、、、。13、。1Fig.1Architectureofthesystem2、、、。、、·922·201555DOI:10.13427/j.cnki.njyi.2015.05.051。2。2Fig.2Hardwarestructurediagramofimformationcollectionterminal2、、、、、。。3。VCCCN3722。PWM。3.6~+4.2V。3Fig.3SolarenergychargingcircuitstructureSTM32F105ARMCORTEX-M332。-40~+105℃2~3.6V。/。。、AM2305。3.3~6V。-40~125℃±0.3℃0~100%±2%。。16BH1750FVI。DATA-LYNX。GPSBS-126GPS。GPS$GPRMCGPS、、UTC。BS-1264。STM32F105GPIOPA1AO4803BS-126。4BS-126Fig.4BS-126connectioncircuitFLASHSPI25Q80·032·201555、。LCDLX-12864BLCDFLASH。3GSM/GPRSFLASH。GPRS。SIMCOMSIM900A。18mA、2mATCP/IPGSM/GPRS9001800MHZAT。GSM/GPRS5。、SIM。SIM900ASTM32F105STM32F105GPIOSIM900ASIM900A2。5GPRSFig.5GPRScommunicationcircuitstructureGPRS1。6。GSM/GPRS。STM32F105FLASHGSM/GPRS。1。1GPRSTable1GPRSmoduletransferprotocol7yymdhms2dm2dm2w/℃d11w%2uW/cm20~2000040~FFFF6Fig.6Transmissionnetworklayerworkflowchart·132·2015554、、、。4.1、、、。7。/、。socket。。、、。、。3。7Fig.7Functionaldiagramofserverplatform4.2、。k-meansk-means。2k-means22。4。5。10。Ax2+Bxy+Cy2+Dx+Ey+1=01A、B、C、D、E·232·201555FABCDE=∑Ni=1Ax2i+Bxiyi+Cy2i+Dxi+Eyi+122Nxiyi。FFA=FB=FC=FD=FE=03A、B、C、D、E。abpa=2-2FA+C-B2+A-CF槡槡24b=2-2FA+C+B2+A-CF槡槡25p=ba68。abcd8Fig.8Segmentationandellipsefittingresultsofriceplanthoppers8ak-means8b8c8d。。k-means。。2。2Table2Comparisonofproposedmethodandthresholdingalgorithm/%/%116336.082511.56255214131.221983.41205315928.702201.35223413524.161742.24178512613.101431.381452、、。4.3。69、1、、9。9Fig.9Figureofsystemmainpage·332·2015555。、、、、。、。1.J.20114851326-331.2.SIM900AJ.201235586-89.3.J.2014451259-265.4.K_meansJ.2014301105-112.5.J.20086180-183.6FUKATSUT.HirafujiMFiddMonitoringUsingSensorNodeswithaWebServerJ.JournalofRoboticsandMechatron-ics2005172164-172.IntelligentMonitoringSystemforAgriculturalPestsBasedonInternetofThingsZhangEndiZhangJiaruiSchoolofPhysicsandMicroelectronicsScienceHunanUniversityChangsha410082ChinaAbstract〗InordertoimprovetheoveralllevelofChina'sagriculturalpestresistancepreciseresearchofhowcropgrowthenvironmentaffectsthenumberofplantpesttrendsisparticularlyimportant.IntelligentmonitoringsystemforAg-riculturalPestsBasedonInternetofThingsIoTdevelopsasetofautomaticdatacollectionsystemoffarml-andenvi-ronmentinformationthenumberofpestsanditcanalsosettheequipmentparameters.Artificialtakingpicturesofpla-nthopperthissystemusesk-meansclusteringalgorithmtoseparatetheplanthopperfromthebackgr-oundusesanel-lipsefittingbasedonleastsquaremethodtogettheellipticitywhichisusedtodistinguishbetweeninsectbodyandim-puritiesandaddupthepestsnumber.Hardwarecompositionofthesystemandsoftwaredesignoffunctionmodulesarein-troducedindetailwhichrealizesautomaticinformationcollectionandautomatedoperationandlaysthefoundationofef-fectivepreventionandcontrolofpest.KeywordsinternetofthingsIoTGPRS/GPSagriculturepestK-meansellipsefittingintelligentmonitoring·432·201555
本文标题:基于物联网的农业虫害智能监控系统
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