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Lesson6TheInternetofThings
(第六課物聯(lián)網(wǎng))
Vocabulary(詞匯)ImportantSentences(重點句)Multiple-choiceQuestion(多選題)Problems(問題)
ThetermInternetofThingsappearstohavebeencoinedbyamemberoftheRFIDdevelopmentcommunitycirca2000,whoreferredtothepossibilityofdiscoveringinformationaboutataggedobjectbybrowsinganInternetaddressordatabaseentrythatcorrespondstoaparticularRFID.Sincethattime,visionarieshaveseizedonthephrase“InternetofThings”torefertothegeneralideaofthings,especiallyeverydayobjects,thatarereadable,recognizable,locatable,addressable,and/orcontrollableviatheInternet—whetherviaRFID,wirelessLAN,wide-areanetwork,orothermeans.
Everydayobjectsincludesnotonlytheelectronicdevicesweencountereveryday,andnotonlytheproductsofhighertechnologicaldevelopmentsuchasvehiclesandequipment,butthingsthatwedonotordinarilythinkofaselectronicatall—suchasfood,clothing,andshelter;materials,parts,andsubassemblies;commoditiesandluxuryitems;landmarks,boundaries,andmonuments;andallthemiscellanyofcommerceandculture.AlthoughanalystsdefinetheIoTintermsofconnectedeverydayobjects,thenatureoftheconnectionremainstobedetermined.
Atwo-wayconnectionbymeansoftheInternetProtocolconstitutestheidealcase,buttheoriginatorsoftheIoTconceptappeartohaveemphasizedasimplermodelofRFIDqueryandresponse.[1]TheIoTwillbeinextricablefromsensornetworksthatmonitorthingsbutdonotcontrolthings.Bothconnectedeverydayobjectsandsensornetworksbothleverageacommonsetoftechnologicaladvancestowardminiature,power-efficientsensing,processing,andwirelesscommunication.AnalystscommonlydescribetwodistinctmodesofcommunicationintheInternetofThings:thingtopersonandthing-to-thingcommunication.
Thing-to-person(andperson-to-thing)communicationsencompassesanumberoftechnologiesandapplicationswhereinpeopleinteractwiththingsandviceversa,includingremoteaccesstoobjectsbyhumans,andobjects(sometimescalled“blogjects”)thatcontinuouslyreporttheirstatus,whereabouts,andsensordata.
Thing-to-thingcommunicationsencompassestechnologiesandapplicationswhereineverydayobjectsandinfrastructureinteractwithnohumanoriginator,recipient,orintermediary.Objectscanmonitorotherobjects,takecorrectiveactions,andnotifyorprompthumansasrequired.Machine-to-machinecommunicationisasubsetofthing-to-thingcommunication;butmachine-to-machinecommunicationoftenexistswithinlarge-scaleITsystemsandsoencompassesthingsthatmaynotqualifyas“everydayobjects”.
Manyeverydayobjectsalreadyincorporateembeddedmicrocontrollersandwillincreasinglyincludewirelessinterfaces.Typicalmicrocontrollersincorporateamicrocomputer,storage,software,andinterfacesforsensorsandactuatorsthatcanresideaboardeverydayobjects.Withadditionofanetworkinterface,peopleandmachinescanmonitorandcontrolsuchobjectsfromadistance,viatheInternet.Objectscontainingsensorscaninterconnectwithoneanotherandcanbemonitoredbydistantserversorpeople.
Softwarethatresidesinserversand/orInternet-connectedobjectscaninitiateasequenceofevents,withorwithouthumanintervention.[2]Thecombinationofembeddedmicrocontrollers,sensors,actuators,networkinterfaces,andthegreaterInternetmakesitpossiblefortheInternettoevolvefromannetworkofinterconnectedcomputerstoanetworkofinterconnectedobjects.SuchobjectsmayormaynothavetheirownInternetProtocoladdresses.
DevelopersandvisionarieshavedescribedanumberofconceptsthataredistinctyetcloselyrelatedtotheIoT.
SensornetworksneednotbeconnectedtotheInternetandindeedoftenresideinremotesites,vehicles,andbuildingshavingnoInternetconnection.Smartdustisatermthatsomehaveusedtoexpressavisionoftiny,wireless-connectedsensors;morerecently,othersusethetermtodescribeanyofseveraltechnologiesthatrangefromthesizeofapackofgumtoapackofcigarettes,andthatarewidelyavailabletosystemdevelopers.OnemaythinkofthevisionoftinyinstancesofsmartdustasaDisruptiveTechnologiesdevelopmentthatwillariseafteralongperiodofIoTevolution,duringwhichanumberofdisruptionsareforeseeablewellbeforeusablewirelesssensorsshrinktothesizeofgravel.
Ubiquitouspositioningdescribestechnologiesforlocatingobjectsthatmayresideanywhere,includingindoorsandundergroundlocationswheresatellitesignalsmaybeunavailableorotherwiseinadequate.
Biometricsenablestechnologytorecognizepeopleandotherlivingthings,ratherthaninanimateobjects.Connectedeverydayobjectscouldrecognizeauthorizedusersbymeansoffingerprint,voiceprint,irisscan,orotherbiometrictechnology.
MachinevisionisanapproachtotheIoTthatcanmonitorobjectshavingnoonboardsensors,controllers,orwirelessinterfaces.
Generally,nosharpdividinglineexistbetweenIoTandmanyotherInternetrelateddevelopments.JustastheInternetitselfblursboundariesamongdevices,people,organizations,andnationalboundaries,theIoTblursboundariesbetweenITandobjectsthatwedonotordinarilythinkofasIT.1TheEnablingBuildingBlocks
ProgressinthefollowingtechnologieswillcontributetothedevelopmentoftheIoT:
Machine-to-machineinterfacesandprotocolsofelectroniccommunicationsettherulesofengagementfortwoormorenodesonanetwork.
Microcontrollersarecomputerchipsthataredesignedtobeembeddedintoobjectsotherthancomputers.
Wirelesscommunicationisfamiliartomostpeopleinthedevelopedworld.ManydifferentwirelesstechnologieshavethepotentialtoplayimportantrolesintheIoTincludingshort-rangeandlong-rangechannels;aswellasbidirectionalandunidirectionalchannels.[3]Wirelessdevicesidentifythemselves;inpracticevirtuallyallwirelessInternetdevicescontainuniqueidentifiers,includingallcellphonesandWi-Ficlients.However,seethenextbullet.
RFIDtechnologyresemblesanelectronicbarcodethatareaderdevicecandetectevenwithoutlineofsight.SomeRFIDreaderscanidentifymultipleobjectsconcurrently.AndsomeRFIDtag-readerarchitecturessupportsecurityfeaturessuchasrequiringahumanoperatortoinputachallengecodebeforedecodinganID.RFIDhavevaryingsizes,powerrequirements,operatingfrequencies,amountsofrewriteableandnonvolatilestorage,andsoftwareintelligence;rangesvaryfromafewcmtohundredsofmeters.
However,largerdeviceshavinganinternalpowersourcetendtooperateatlongerranges;conversely,smallerdeviceshavingnointernalpowersource(RFengineerssaytheyareilluminatedbythereaderdevice,muchasaradarilluminatesatarget)tendtooperateatshorterranges.Also,architecturesthatsupportmorestorage,rewriteability,andprocessingtendtocostmorethansimplerarchitectures.
Energyharvestingtechnologiescapturesmallbutusableamountsofelectricalenergyfromtheenvironment.Currentenergy-harvestingR&Dconcentratesonadventitioustemperaturevariations,ambientsoundandvibration,andambientRF.UnlikepassiveRFIDs,whichsimplyresonatewhenilluminated,anenergy-harvestingtransducerproduceselectricalpowerthatrunsamicrocontroller,sensor,and/ornetworkinterfaceinwholeorpart.Technically,energyharvestingtransducersrespondnotonlytoadventitioussourcesbutalsotointentionaltransmissionsofpower,say,viaRFandacousticchannels.AdramaticexampleofintentionaltransmissionofpowerviaRFchannel:MIT’srecent“Witricity”demonstrationofclosely-coupledresonators,enablingrelativelyefficientwirelesspowertransfersoveradistanceofafewfeet.
Sensorsdetectchangingattributesintheenvironmentandreportthemtoasystem;sensornetworksaimtoexploitthebenefitsofsensingatmorethanonelocation.Sensorsareatypeoftransducerthatmustproducetheminisculeamountofpowerrequiredtoconveyinformationatausableerrorrate.Sound,light,atmosphericconditions,vibrations,andotherenvironmentalsignalsareallfairgameforsensordesigners.
Actuatorsdetectanincomingsignalandrespondbychangingsomethingintheenvironment.Forexample,arelayisanactuatorthattogglesamechanicalswitch,andcanthuscauseagoodnumberofresponsestooccursuchasenablingillumination,heatingsystem,audiblealarm,andsoon.Actuatorssuchasmotors,pneumatics,andhydraulicscanmoveobjectsandpumpfluids.
Locationtechnologyhelpspeopleandmachinesfindthingsanddeterminestheirphysicalwhereabouts.Sensorsplayaroleindeadreckoning,butthatapproachdoesnotsatisfypracticalneedsforgeolocation,resultingintheriseofwirelessapproachesincludingGPS(whichisoftenaugmentedbyothersignals)andcellulartowers.Fixedororbitingtransmittershaveknownlocations.Theybroadcasttimingsignals,andreceivingdevicestriangulatebycalculatingtheamountofdelayfromeachtransmitter.Radar,lidar,andsonarcandetectrelativelocationsofthings,dependingontheirelectromagnetic,optical,andacousticproperties.Andsomethingstransmittheirownradio,light,and/orsoundinordertodisclosetheirwhereaboutstopeopleandmachines.
Softwarecomprisesabroaddomainofdevelopment.DevelopmentoftheIoTwillrelyonmanydimensionsofsoftwarecapabilitiesincludingdistributedexecution,self-describingdatastructures,andmore.Notheoreticalframeworkexiststocircumscribethelimitsofsoftwaredevelopment,leadingtospeculationaboutsoftwarethatemulateshumanreasoningandperformstasksonbehalfofpeople.Regardlessofthemeritoflong-awaitedartificialintelligence,softwarewillnodoubthelpfutureusersmakesenseofcomplexdatasetscollectedfromnetworksofeverydayobjectsandsensors.2ImplicationsofAdvancementinVariousTechnologicalCapabilities
Ideally,thefollowingusecasescouldbecommonintentofifteenyears.Tocompleteshoppinginbricks-and-mortarretailstores,customerscouldsimplywalkthroughdoorwaystocheckout,debitaccounts,andreceivee-receiptsthattheycaninspectviathedisplaysontheircellphones.
Asoldiercouldrapidlylearnhowtoperformamaintenanceprocedurebyscanninganitemofequipmentusingahandhelddeviceandreadingthedevice’sdisplay.Handhelddevicescouldbecomenotonlyinformationsourcesbutuniversalremotecontrolsfortheenvironment—userinterfacesforengaginglightsandappliances,locatingmisplacedandloosely-organizedobjects,diagnosingproblemswithsystems,andcontrollingtele-operatedobjectsfromgreaterorlesserdistances.
Usingmachine-to-machinecommunication,objectscouldcollaboratewithoneanothertoperformactionsonbehalfofpeopleandreduceoreliminateneedforhumanlabor.[4]Vehiclesthatcommunicatewirelesslywitheachothercancollaborateby“refusingtocrash”.Entertainmentsystemscansenseandrespondasuserswalkthroughahouse,transferringthebaseballgamefromlivingroomtokitchentogarage.AmedicinecabinetfittedwithRFIDreaderandanarrayofweightsensorscoulddetectwhensomeonedoesnotremoveapillasprescribedandrespondbyalertingthepatient;alternatively,thecabinetcoulddetectwhenthesupplyofaparticularpillrunslow,automaticallyrenewaprescription,ormakeamedicalappointment.
Buildingscanoptimizeenergysavings,indoorairquality,andcomfortbyadjustingclimate-controlsystemstoaccountforthenumberofpeoplepassingthroughentranceways,readingsofoxygensensorsinwalls,datafromrooftopweatherstations,andnationalweatherservices.Eversmaller,cheaper,andsmartersystemshavethepotentialtoaugmentevermoreeverydayobjects.Notethattypicalmicrocontrollers(althoughnotallofthem)canbereprogrammed,andthisreprogrammabilityacceleratestheabilityofsystemstoevolve.
Onceanobjecthasanetworkinterface,itsabilitiescanimproveatthespeedofsoftwaredevelopment:Progressisnotlimitedtothespeedofhardwareandinfrastructuredeployment.Capabilitiesofsoftwareupdatespromisetoevolvetowardprocessesthatresemblereasoning.Forexample,researchersaimtodevelopsystemsthatadaptmessagestothepresentnetwork,device,user,andcontext.Someusersmayperceivesuchadaptationtobe“intelligent”;butresearchershopetoimplementalgorithmsthatcomeeverclosertoemulatinghumanreasoningtomakesenseofcomplexdatasets.
Onepromisingapproachtothelattergoalreliesoncomputationalsemanticalgorithmsthatoperateonself-describingdatastructures.Significantly,synergiesamongInternet-connectedobjectswillarise,yieldingcapabilitiesthatdesignerswillnothaveanticipated.Smartbuildingscouldprovetobecomeanetworkforcollectingfine-grainedweatherdata.Home-andoffice-securitysystemscoulddoubleasadhocwirelessnetworkinfrastructure.Manyeverydayobjectscouldserveasnodesforcollectingdatathat’susefultobusinesses;anopenmarketinusagedatacouldsupportthelaunchingofadvertisingmessages;suchanopenmarketininformationcouldequallyenablesurveillancebylawenforcementagenciesandexploitationbyenemiesoftheUnitedStates.3SynergisticTechnologies
ThefollowingaresomeofthetechnologiesthatmaynotbeessentialtothedevelopmentoftheIoT,butcouldextendthescopeoftheIoT.
Geotagging/geocaching
Biometrics
Machinevision
Robotics
Mirrorworlds
Telepresenceandadjustableautonomy
Liferecordersandpersonalblackboxes
Tangibleuserinterfaces
KeyUsesandInstantiationsoftheInternetofThings.
Retailandlogistics
Productmanagement
Surveillance
Smartbuildingsandgreenbuildings
Telematics4Applications
HerearesomeofthemoreprominentapplicationareasfortheIoT:
Cellphonesas“windowsoneverydaythings”.HandhelddevicescandisplayinformationaboutobjectstaggedwithbarcodesandRFIDtags,andcameraphonescancollaboratewithdistantserverstoidentifyuntaggedpeople,places,andthingsbymeansofmachinevision.Aphonecouldgivedetailsabouttheproductincludingitsattributes,origin,price,warranty,reviews,andusermanual,aswellaswheretobuyitandhowtorecycleit;theidentifyofaperson;andforeign-languagedetailsaboutaplacesuchasarestaurantorhistoricalsite.Usersmightcometofeelthatsuchinformationisasvitalastoday’sWorldWideWeb.
Cellphonesas“remotecontrolsfortheenvironment”.CellphonesalreadyfindcommonuseinJapanaspaymentchannelsforcheckingoutorretailstores,andoccasionaluseworldwideasremotecontrolsforaudiovisualequipment.Handsetscanfurtherevolveintoameansforcontrollingnearbyanddistantthingssuchasdoorlocks,securitysystems,lights,appliances,andofficeequipment.
Continuousmonitoringandmeasuring.Commoditizationofsensorsandnetworkswillenableeverydayobjectstobechannelsforsurveillance,consumersurveys,measuringenvironmental-qualitybenchmarks,andanyothercontinuouslychangingdimensionoftheworldthatpeoplefindvaluabletotrack.
Locatingthings.Miniaturization,abilitytoworkinindoorlocations,andothertechnologicaladvancespromisetoincreasethevarietyofthingsthatcanreporttheirlocationstoowners,includingkeys,wallets,eyeglasses,jewelry,andtools.Asintermediatestepbetweentoday’slocationcapabilitiesandthesefutureapplications,animal-locatingtechnologypromisestobecomepracticalandaffordablefortypicalfarmersandpetowners.
Loosely-organizedthings.Abilitytolocateobjectsasrequiredcouldleadtochangesinparadigmsforwarehousing,filing,andhouseholdstorage,awayfromthetraditionof“aplaceforeverythingandeverythinginitsplace”.WhenacellphoneRFIDreaderistheultimatearbiterofwheresomethingresides,business,government,military,andindividualapproachestostoragewillchange.
Prognosticsandjust-in-timemaintenanceforvehiclesandmachines.Continuousmonitoringpromisestoenableanewparadigminvehicleandmachinemaintenance.Ratherthanconductingmaintenanceatspecifiedintervals,organizationsmaybeabletoconductmaintenanceasneeded.Fluid-levelandcontaminationsensorscantelltechnicianswhenfluidsneedtobereplenished;andmicrophonesembeddednearrotatingpartscandetectsoundsthatindicateexcessivewear.
Sensorreadingscombinedwithservicerecordsenablecreationofpredictive-maintenancedatabases;algorithmscouldtriggercustomschedulesthatconcurrentlyimprovereliabilityandreducethecostofregularly-recurringmaintenance.Suchalgorithmswouldaimtoprovidenotonlyafter-the-factdiagnosesbut“fixingproblemsbeforetheyoccur”.Duringanemergency,responsiblepartiescouldusealgorithmicprognosestoselectonlythatmothballedormarginally-maintainedequipmentthatismostlikelytoaccomplishadesiredtask.Thus,vehicles,electricgenerators,factoryequipment,andotherdevicescontainingrotatingmachinerycouldbeearlycandidatestojointheIoT.
Healthcareandcaretaking.Sensorsandactuatorsinbeds,floors,andplumbingpromisetobe“helpingthehelpers”.TheUniversityofVirginia’sAlarmNetresearchprojecthasinterconnectednetworkswithsomeeverydaythingssuchasbedsandfloors.Apressuresensorinabeddetectsheartrate,breathing,andmovement;sensorsinthefloornearbycandetectwhenapersonfalls.TheAlarmNetprojectteamhasalsoembeddedaccelerometersandaGPSreceiverintoclothing,inordertodetectlocationandclassifyactivities.Pressuresensorsinbedsorfurnituremayalsobeabletodetectsuddenweightgainsassociatedwithcertainheartconditionsandthesideeffectsofbetablockers.VariousR&Dprojectshaveexperimentedwithconnectedsmartmedicinedispensersthatfacilitatecompliancewithcomplex,multi-prescriptionregimens.
Loosely-coupledrelationshipsamongconnectedthings.Justasphysicalobjectshaveadhoctemporarysynergies(aswhenabrickservesasadoorstop),adhocinterconnectionsamongeverydaythingscanhaveopportunisticbenefits.AsingleWeb-servicesinterfaceforavehiclecouldcouplewithadealer’sdiagnostictoolformaintenancepurposes;alaw-enforcementserverforrecoveryaftertheft;acolleague’scellphoneforinputtingthephysicaladdressofadestinationintoanonboardnavigationsystem;andanynumberofsurprisingandunplanned-forapplications.5Timeline
UseofRFIDinsupplychainshasbegun,anduseattheitemlevelcouldbeginasearlyas2010.IncorporationofcompatibleRFIDreadersincommoncellphonescouldbeginshortlythereafterandbecommonby2015,enablingeverydaypeopletointeractelectronicallywitheverydayobjects.Ubiquitouspositioningtechnology,includingaccurateindoorpositioning,couldbeavailableby2017.
SynergiesbetweenpositioningandInternetconnectivitycouldenableanumberofmust-haveapplications,especiallytheft-resistantpersonalitemsthatcanbelocated,controlled,andmonitoredfromadistance.After2020,intelligentsoftwaremayemergethatacceptslargesetsofdatafromconnectedeverydayobjects,andanalyzessuchdatausingprocessesthatresemblehumanreason.After2025,perhaps,suchsoftwarecanbedeputizedtomakeunsuperviseddecisionsandactonbehalfofpeople.6DirectionalSignposts
IdentifyingthemajorissuesthatwilldeterminehowtheInternetofThingswilldevelopandunderstandingtheuncertaintyofitemsimportanttowatchhelpustounderstandbetterthepotentialdynamicsofdevelopmentandapplicationthatwemightseeinthefuture(Fig.1).ThatheightenedsenseofawarenessisnecessarybecausetheUnitedStateswillwanttoformulateapolicyandactbeforeunambiguousevidenceonthedriversandbarriersto,anddirectionofadvancementofthenecessarytechnologiesisavailable.
Preparationforawatch-and-respondsystemisessentialtoidentifycorrectlythesignpoststhatwouldindicatewhethertheadvancementoftheInternetofThingsisproceedingrapidlyornot.Plausibly,thefollowingeventsanddevelopmentscouldoccurnearthesuggestedyears,andtheiroccurrencewouldindicatethattheaboveissuesanduncertaintieswerebeingresolvedinthedirectionofpositivedevelopmentandapplicationoftheInternetofThings.
2007-2009—LargeretailchainsintheUnitedStatesadoptRFID-taggedpalletsandpackagingforexpeditingsupplychains.Fig.1TechnologyRoadmap:TheInternetofThings
2010—LargeretailchainsintheUnitedStatesbegintodeployRFIDsonindividualitemstosupportunattended,walk-throughcheckout;healthcareproviders,largeorganizations,andgovernmentagenciesadoptRFIDtagsforkeepingtrackofindividualdocuments.
2011-2013—EndusersadoptcellphonescontainingRFIDreadersthatscaneverydaythingsandprovideinformationaboutprice,availability,origin,ingredients,howtouse,wheretoreceivewarrantyservice,andotherattributes.
2011-2016—Vehiclesgraduallyincorporatewirelessdiagnosticsandprognostics,concurrentlyimprovingreliability,eliminatingcostandweightofwiringharnesses,reducingcostofmaintenance,andenablingdeliveryofnewfeaturesviasoftwareupdates.
2017—Effectively,ubiquitouspositioningtechnologyarrivesintheUnitedStates—initially,tohelpfirstresponderslocatepeoplecarryingcellphones,evenindoors.
2018-2019—Manufacturersincreasinglydelivereverydaythingswithaguaranteeagainstlossandtheft,equippingsuchthingswithreceiversforubiquitouspositioningtechnologyaswellaslow-duty-cyclewirelessInternetcapability.
2020—Thepasttenyearsofspectrumauctionsandreallocationshasgraduallyyieldedatransformedspectrumplan.Everydaymobilecommunicationsisnowbroadband.Thelegacymobilefrequenciesusedfornarrowbandcommunications(thetypethatrevolutionizedperson-to-personcommunicationsduring2000-2005)havelargelybeenrepurposedforsupportingperson-to-thingandthing-to-thingcommunications.
2020-2025—Aperiodofinnovation,growth,opportunity,anddisruptionfollowswherebyusersandsuppliersfindandimplementsynergiesamongconnectedeverydaythings—andcounterproductiveusesalsoemerge.Forexample,organizationsmaycreateadhocsensornetworksbyfusingdatagatheredfromdisparatedevices.Suchnetworksmayonbalancedomoregoodthanharm,notwithstandingthesubstantialharmsthatdoarisewhenunauthorizedpersonsexploitconnectedeverydaythingsforcrimeandespionagepurposes.1.sensorn.傳感器,靈敏元件。
2.interconnectvi.相互連接,相互聯(lián)系。
3.luxuryn.奢侈,豪華。
4.transmitvt.發(fā)射,播送,廣播。
5.microcontrollern.微控制器。
6.plausiblyadv.似真
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