基于物联网的农业虫害智能监控系统

410082。、。K－means。。GPＲS/GPSK－meansTP273+．4A1003－188X201505－0229－060。。、、。。“”“”20hm220hm2、、。。1GPＲS/GPSInternet2014－05－19“”[e-mail]。[e-mail]。、、、、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。FFA=FB=FC=FD=FE=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