文库网
ImageVerifierCode 换一换
首页 文库网 > 资源分类 > PDF文档下载
分享到微信 分享到微博 分享到QQ空间

基于智能家居室内定位系统检查的传感器的开发.pdf

  • 资源ID:5704445       资源大小:7.63MB        全文页数:6页
  • 资源格式: PDF        下载积分:10文币
微信登录下载
快捷下载 游客一键下载
账号登录下载
三方登录下载: QQ登录 微博登录
二维码
扫码关注公众号登录
下载资源需要10文币
邮箱/手机:
温馨提示:
快捷下载时,用户名和密码都是您填写的邮箱或者手机号,方便查询和重复下载(系统自动生成)。
如填写123,账号就是123,密码也是123。
支付方式: 支付宝    微信支付   
验证码:   换一换

加入VIP,免费下载
 
账号:
密码:
验证码:   换一换
  忘记密码?
    
友情提示
2、PDF文件下载后,可能会被浏览器默认打开,此种情况可以点击浏览器菜单,保存网页到桌面,就可以正常下载了。
3、本站不支持迅雷下载,请使用电脑自带的IE浏览器,或者360浏览器、谷歌浏览器下载即可。
4、本站资源下载后的文档和图纸-无水印,预览文档经过压缩,下载后原文更清晰。
5、试题试卷类文档,如果标题没有明确说明有答案则都视为没有答案,请知晓。

基于智能家居室内定位系统检查的传感器的开发.pdf

1、SICE-ICASEInternationalJointConference2006Oct.18-21,2006inBexco,Busan,KoreaDevelopmentofPIRsensorbasedindoorlocationdetectionsystemforsmarthomeKyoungNamHa1,KyungChangLee2,SukLee3DepartmentofMechanicalandIntelligentSystemsEngineering,PusanNationalUniversity,Busan,Korea(Tel:+82-51-510-3091;E-mail:Ovin

2、centgpusan.ac.kr)2DivisionofControlandAutomationEngineering,PukyungNationalUniversity,Busan,Korea(Tel:+81-51-620-1639;E-mail:gcleegpknu.ac.kr)3SchoolofMechanicalEngineering,PusanNationalUniversity,Busan,Korea(Tel:+82-51-510-2320;E-mail:sleegpusan.ac.kr)Abstract:Smarthomeisexpectedtooffervariousintel

3、ligentservicesbyrecognizingresidentsalongwiththeirlifestyleandfeelings.Oneofthekeyissuesforrealizingthesmarthomeishowtodetectthelocationsofresidents.Currently,theresearcheffortisfocusedontwoapproaches:terminal-basedandnon-terminal-basedmethod.Theterminal-basedmethodemploysatypeofdevicethatshouldbeca

4、rriedbytheresidentwhilethenon-terminal-basedmethodrequiresnosuchdevice.Thispaperpresentsanovelnon-terminal-basedapproachusinganarrayofpyroelectricinfraredsensors(PIRsensors)thatcandetectresidents.ThefeasibilityofthesystemisevaluatedexperimentallyonatestbedKeywords:smarthome,location-basedservice,pyr

5、oelectricinfraredsensor(PIRsensor),location-recognitionalgorithmI.INTRODUCTIONThereisagrowinginterestinsmarthomeasawaytoofferaconvenient,comfortable,andsaferesidentialenvironment12.Ingeneral,thesmarthomeaimstoofferappropriateintelligentservicestoactivelyassistintheresidentslifesuchashousework,amusem

6、ent,rest,andsleep.Hence,inordertoenhancetheresidentsconvenienceandsafety,devicessuchashomeappliances,multimediaappliances,andinternetappliancesshouldbeconnectedviaahomenetworksystem,asshowninFig.1,andtheyshouldbecontrolledormonitoredremotelyusingatelevision(TV)orpersonaldigitalassistant(PDA)34.Espec

7、ially,attentionhasbeenfocusedonlocation-basedservicesasawaytoofferhigh-qualityintelligentservices,whileconsideringhumanfactorssuchaspatternofliving,health,andthefeelingsoftheresident5-7.Thatis,ifthesmarthomecanrecognizetheresidentspatternoflivingorhealth,thenhomeappliancesshouldbeabletoanticipatethe

8、residentsneedsandofferappropriateintelligentservicemoreactively.Forexample,inapassiveserviceenvironment,theresidentcontrolstheoperationoftheHVAC(heating,ventilating,andairconditioning)system,whilethesmarthomewouldcontrolthetemperatureandhumidityofaroomaccordingtotheresidentscondition.Variousindoorlo

9、cation-awaresystemshavebeendevelopedtodetecttheresidentslocationinthesmarthomeorsmartoffice.Ingeneral,indoorlocation-awaresystemshavebeenclassifiedintothreetypesaccordingtothemeasurementtechnology:triangulation,sceneanalysis,andproximitymethods8.Thetriangulationmethodusesmultipledistancesfrommultipl

10、eknownpoints.ExamplesincludeActiveBadges9,ActiveBats10,andEasyLiving11,whichuseinfraredsensors,ultrasonicsensors,andvisionsensors,respectively.Thesceneanalysismethodexaminesaviewfromaparticularvantagepoint.RepresentativeexamplesofthesceneanalysismethodareMotionStar12,whichusesaDCmagnetictracker,andR

11、ADAR13,whichusesIEEE802.11wirelesslocalareanetwork(LAN).Finally,theproximitymethodmeasuresnearnesstoaknownsetofpoints.AnexampleoftheproximitymethodisSmartFloor,whichusespressuresensors.Alternatively,indoorlocation-awaresystemscanbeclassifiedaccordingtotheneedforaterminalthatshouldbecarriedbytheresid

12、ent.Terminal-basedmethods,suchasActiveBats,donotrecognizetheresidentslocationdirectly,butperceivethelocationofadevicecarriedbytheresident,suchasaninfraredtransceiverorradiofrequencyidentification(RFID)tag.Thereforeitisimpossibletorecognizetheresidentslocationifheorsheisnotcarryingthedevice.Incontras

13、tnon-terminalmethodssuchasEasyLivingandSmartFloorcanfindtheresidentslocationwithoutsuchdevices.HoweverEasyLivinginvadetheresidentsprivacycanberegardedtowhiletheSmartFloorhasdifficultywithextendibilityandmaintenance.Thispaperpresentsanon-terminalbased2nobilecomputerInternetJhomegateS.kcellularphone,P

14、DA,etc.homenetworksystemhomeapplianceIlight/HVACcontrcontrolnetworkbackbonenetworkNayITnetworkITAVnetworkaaudio&videoFig.1Archtectureofthehomenetworksystemforsmarthome89-950038-5-598560/06/$102006ICASE216277-location-awaresystemthatusesanarrayofpyroelectricinfrared(PIR)sensors.ThePIRsensorsontheceil

15、ingdetectthepresenceofresidentandarelaidoutsothatdetectionareasofadjacentsensorsoverlap.BycombiningtheoutputsofmultiplePIRsensors,thesystemisabletolocatearesidentwithareasonabledegreeofaccuracy.Thissystemhasinherentadvantageofnon-terminalbasedmethodswhileavoidingprivacyandextendibility,maintenanceis

16、sues.Inordertodemonstrateitsefficiency,anexperimentaltestbedhasbeenconstructed,andevaluatedexperimentallyundervariousexperimentalconditions.Thispaperpresentsaresident-detectionmethodusingPIRsensorstosensetheresident,anddescribesalocation-recognitionalgorithmtodeterminetheresidentslocationbyintegrati

17、ngtheinformationcollectedfrommultiplePIRsensors.Inaddition,thelocationaccuracyofthePIRsensor-basedindoorlocation-awaresystemisevaluatedexperimentallyusinganexperimentaltestbed,andthefeasibilityofthesystemisdemonstratedundervariousexperimentalconditions.Thispaperisorganizedintofoursections,includingt

18、hisintroduction.SectionIIpresentsthearchitectureofthePIRsensor-basedindoorlocation-awaresystem,andthelocation-recognitionalgorithm.SectionIIIdescribesaresident-detectionmethodusingPIRsensors,andevaluatestheperformanceofthesystemundervariousconditionsusinganexperimentaltestbed.Finally,asummaryandthec

19、onclusionsarepresentedinSectionIV.II.ARCHITECTUREOFTHEPIRSENSOR-BASEDINDOORLOCATION-AWARESYSTEMA.FrameworkofthesmarthomeGiventheindoorenvironmentofthesmarthome,anindoorlocation-awaresystemmustsatisfythefollowingrequirements.First,thelocation-awaresystemshouldbeimplementedatarelativelylowcostbecausem

20、anysensorshavetobeinstalledinroomsofdifferentsizestodetecttheresidentinthesmarthome.Second,sensorinstallationmustbeflexiblebecausetheshapeofeachroomisdifferentandthereareobstaclessuchashomeappliancesandfurniture,whichpreventthenormaloperationofsensors.Thethirdrequirementisthatthesensorsforthelocatio

21、n-awaresystemhavetoberobusttonoise,andshouldnotbeaffectedbytheirsurroundings.ThisisbecausethesmarthomecanmakeuseofvariouswirelesscommunicationmethodssuchaswirelessLANorradio-frequency(RF)systems,whichproduceelectromagneticnoise,ortheremaybesignificantchangesinlightortemperaturethatcanaffectsensorper

22、formance.Finallyitisdesirablethatthesystemsaccuracyisadjustableaccordingtoroomtypes.Amongmanysystemsthatsatisfytherequirement,thePIRsensor-basedsystemhasnotattractedmuchattentioneventhoughthesystemhasseveraladvantages.ThePIRsensors,whichhavebeen needtoturnonalightwhenitdetectsthehumanmovement,areles

23、sexpensivethanmanyothersensors.Inaddition,becausePIRsensorsdetecttheinfraredwavelengthsemittedfromhumansat9.4-10.4ptm,theyarereasonablyrobusttotheirsurroundings,intermsoftemperature,humidity,andelectromagneticnoise.Moreover,itispossibletocontrolthelocationaccuracyofthesystembyadjustingthesensingradi

24、usofaPIRsensor,andPIRsensorsareeasilyinstalledontheceiling,wheretheyarenotaffectedbythestructureofaroomoranyobstacles.Figure2showstheframeworkforthePIRsensor-basedindoorlocation-awaresysteminasmarthomethatofferslocation-basedintelligentservicestoaresident.Withinthisframework,variousdevicesareconnect

25、edviaahomenetworksystem,includingPIRsensors,roomterminals,asmarthomeserver,andhomeappliances.Here,eachroomisregardedasacell,andtheappropriatenumberofPIRsensorsisinstalledontheceilingofeachcelltoprovidesufficientlocationaccuracyforthelocation-basedservices.EachPIRsensorattemptstodetecttheresidentatac

26、onstantperiod,andtransmitsitssensinginformationtoaroomterminalviathehomenetworksystem.Consequently,theroomterminalrecognizestheresidentslocationbyintegratingthesensorinformationreceivedfromallofthesensorsbelongingtoonecell,andtransmitstheresidentslocationtothesmarthomeserverthatcontrolsthehomeapplia

27、ncestoofferlocation-basedintelligentservicestotheresident.Withinthisframework,thesmarthomeserverhasthefollowingfunctions.1)Thevirtualmapgeneratormakesavirtualmapofthesmarthome(generatingavirtualmap),andwritesthelocationinformationoftheresident,whichisreceivedfromaroomterminal,onthevirtualmap(writing

28、theresidentslocation).Then,itmakesamovingtrajectoryoftheresidentbyconnectingthesuccessivelocationsoftheresident(trackingtheresidentsmovement).2)Thehomeappliancecontrollertransmitscontrolcommandstohomeappliancesviathehomenetworksystemtoprovideintelligentservicestotheresident.3)Themovingpatternpredict

29、orsavesthecurrentmovementtrajectoryoftheresident,thecurrentactionofhomeappliances,andparametersreflectingtheSmartHomeServerirtamapgenerator.|Generatingavirtualmap.|Writingtheresidentslocation|rackingtheresidentsmovement|MovingpatternpredictorStHPtnHomeappliancecontrollerIntelligetFig.2Frameworkofsma

30、rthomeforPIRsensor-basedindoorlocation-awaresystem.2163Home.currenthomeenvironment,suchasthetimetemperature,humidity,andillumination.Afterstoringsufficientinformation,itispossibletoofferhuman-orientedintelligentservicesinwhichthehomeappliancesspontaneouslyprovideservicesintendedtosatisfyhumanneeds.F

31、orexample,ifthepredictorknowsthattheresidentalwayswakesupat7:00A.M.andtakesashower,itispossibletoopenwindowsatanappropriatetimetoensurethattheroomiswellventilatedautomatically.Inaddition,thetemperatureoftheshowerwaterissetautomaticallyfortheresident.B.Location-recognitionalgorithmInordertorecognizet

32、helocationoftheresidentwithinaroom,anarrayofPIRsensorsareusedasshowninFig.3.Inthefigure,thesensingareaofeachPIRsensorisshownasacircle,andthesensingareasoftwoormoresensorsoverlap.Consequently,whenaresidententersoneofthesensingareas,thesystemdecideswhetherhe/shebelongstoanysensingareabyintegratingthes

33、ensinginformationcollectedfromallofthePIRsensorsinoneroom.Forexample,whenaresidententersthesensingareaB,sensorsaandboutputONsignals,whilesensorcoutputsOFFsignal.Aftercollectingoutputs,thealgorithmcaninferthattheresidentbelongstothesensingareaB.Accordingtothenumberofsensorsandthearrangementofthesenso

34、rssignalingON,theresidentslocationisdeterminedinthefollowingmanner.First,ifonlyonesensoroutputsONsignal,theresidentisdeemedtobeatthecenterofthesensingareaofthecorrespondingsensor.Next,iftheoutputsoftwoadjacentsensorsareON,theresidentislocatedatthepointmidwaybetweenthetwosensors.Finally,ifthreeormore

35、sensorssignalON,theresidentislocatedatthecentroidofthecentersofthecorrespondingsensors.Forexample,inthefigure,theresidentislocatedatpoint1whenonlysensorasignalsON,whiletheresidentislocatedatpoint2whensensorsaandbbothoutputONsignals.Inthissystem,locationaccuracycanberegardedasthemaximumvaluefortherad

36、iiofthecircumscribedcircles,includingthecentersofsensorsthatoutputONsignalwhenaresidentstaysataspecificpoint.Forexample,whenaresidententerssensingareaA,theresidentisdeemedtobeatpoint1andtheradiusofthecircumscribedcircleisequivalenttotheradiusofPIRsensorabcsensingareaA.Ontheassumptionthataresidentcan

37、berepresentedbyapointandtheradiusofthesensingareaofaPIRsensoris1m,weknowthatthelocationaccuracywithinsensingareaAis1m.Alternatively,whentheresidentislocatedinsensingareaB,theresidentisdeemedtobeatpoint2,andthenthelocationaccuracyinsensingareaBis/2m,whichisthedistancebetweentheresidentslocation(point

38、2)andthefarthestpointfromtheresidentslocation(point3).Therefore,thelocationaccuracyofthetotalsystemcanberegardedas1m,whichisthemaximumvalueofthelocationaccuracyofeacharea,forthesensorarrangementshowninFig.3.SincethenumberofsensorsandthesizeoftheirsensingareasdeterminethelocationaccuracyofthePIRsenso

39、r-basedindoorlocation-awaresystem,itisnecessarytoarrangethePIRsensorsproperlytoguaranteethespecifiedsystemaccuracy.Inaddition,becausethesystemrecognizestheresidentslocationbyintegratingsensinginformationcollectedfromallPIRsensorsperiodically,afaultsuchasthefailureormalfunctionofasensorcanbeovercome.

40、Forexample,whentheresidentremainswithinsensingareaAinthefigure,thenextlocationoftheresidenthastobenearsensingareaB.However,ifsensorc,whichbelongstosensingareaCoutsidesensingareasAandB,isactivated,thesystemregardsthisasanerrorofsensorcandignoresitsoutput.Inordertodeterminetheresidentslocationprecisel

41、yandincreasetheaccuracyofthesystem,itisnecessarytoincreasethenumberofsensingareas,asdeterminedbythenumberofavailablesensors,andtoequalizethesensingareas.Forexample,Fig.4showsthelocationaccuracybasedonthesensorarrangementmethod.Fig.4(a)and4(b)showarrangementsinvolvingninesensorsthatinvolve40and21sens

42、ingareas,respectively.Bycontrast,twelvesensorsinFig.4(c)giveriseto28(a)40sensingareas(b)21sensingareassensingareA2precisionawhs-n/(c)28sensingareaswithtwelvesensorsFig.3.Thelocation-recognitionalgorithmforPIRsensors.Fig.4.LocationaccuracyaccordingtothesensorarrangementofPIRsensors.2164sensingareas.A

43、stherearemoresensingareasinFig.4(a)thaninFig.4(b),buttheoutersensingareainFig.4(a)islargerthanthatinFig.4(b),thelocationaccuracyinFig.4(a)ispoorerthanthatinFig.4(b)fortheoutersensingareas.Bycontrast,theareasofFig.4(b)andFig4(c)aresimilar,butthelocationaccuracyinFig.4(c)isbetterthanthatinFig.4(b)duet

44、othenumberofsensingareas.WhenPIRsensorsareinstalledaroundtheedgeofaroom,asshowninFig.4(c),itispossibletoincreasethelocationaccuracybymovingtheresidentslocationfromthecenteroftheoutersensortothecenterofgravityoftheoutersensingarea.Forexample,whentheoriginalalgorithmisused,asshowninFig.5(a),theresiden

45、tslocationsarepointsaandb,whicharethecentersofsensors1and2,respectively.Conversely,afterapplyingthecompensationalgorithmforthecenterpointoftheoutersensors,theresidentslocationsareadjustedtopointsaandb,whicharethecentersofgravityofthecorrespondingareas,asshowninFig.5(b).III.PERFORMANCEEVALUATIONOFTHE

46、PIRSENSOR-BASEDINDOORLOCATION-AWARESYSTEMA.Resident-detectionmethodusingPIRsensorsSincethePIRsensor-basedindoorlocation-awaresystemrecognizestheresidentslocationbycombiningoutputsfromallthesensorsbelongingtoonecell,determiningwhetherasinglesensorisONorOFFdirectlyinfluenceslocationaccuracy.Ingeneral,

47、becausetheON/OFFvaluescanbedeterminedbycomparingapredefinedthresholdandthedigitizedsensoroutputacquiredaftersamplingtheanalogsignalfromaPIRsensor,itisnecessarytochooseanappropriatesignallevelforthethreshold.Forexample,SmartFloor,whichisanothernon-terminalmethod,canrecognizearesidentslocationexactlyb

48、ycomparingtheappropriatethresholdandasensorvalue,becauseapressuresensoroutputsaconstantvoltagebasedontheresidentsweightwhenheremainsataspecificpoint.However,becauseaPIRsensormeasuresthevariationintheinfraredsignalproducedbyamovinghumanbody,itsoutputisinanalogform,asshowninFig.6.Thatis,asthevariation

49、inthehumaninfraredincreaseswhenaresidententersasensingarea,thePIRsensoroutputsanincreasingvoltage.Conversely,thevoltagedecreasesastheresidentleavesthesensingarea.Iftheresidentdoesnotmovewithinthesensingarea,theSensor1Sensor2ar4abab(a)Beforecompensating(b)Aftercompensatingfortheoutersensorsfortheoute

50、rsensorsFig.5.Theeffectofcompensatingforthecenterpointoftheoutersensors.variationinthehumaninfraredsignaldoesnotexistandthePIRsensoroutputszerovoltage.Therefore,itisverydifficulttodeterminewhenaresidentisstayingwithinaspecificsensingareausingonlythevoltageorcurrentthresholdofaPIRsensor.Inordertoguar


注意事项

本文(基于智能家居室内定位系统检查的传感器的开发.pdf)为本站会员(jintaihu)主动上传,文库网仅提供信息存储空间,仅对用户上传内容的表现方式做保护处理,对上载内容本身不做任何修改或编辑。 若此文所含内容侵犯了您的版权或隐私,请立即通知文库网(点击联系客服),我们立即给予删除!




关于我们 - 网站声明 - 网站地图 - 资源地图 - 友情链接 - 网站客服 - 联系我们

文库网用户QQ群:731843829  微博官方号:文库网官方   知乎号:文库网

Copyright© 2025 文库网 wenkunet.com 网站版权所有世界地图

经营许可证编号:粤ICP备2021046453号   营业执照商标

1.png 2.png 3.png 4.png 5.png 6.png 7.png 8.png 9.png 10.png