基于多数据融合传感器的分布式温度控制系统(中英文对照论文)

DISTRIBUTEDTEMPERATURECONTROLSYSTEMBASEDONMULTISENSORDATAFUSIONABSTRACTTEMPERATURECONTROLSYSTEMHASBEENWIDELYUSEDOVERTHEPASTDECADESINTHISPAPER,AGENERALARCHITECTUREOFDISTRIBUTEDTEMPERATURECONTROLSYSTEMISPUTFORWARDBASEDONMULTISENSORDATAFUSIONANDCANBUSANEWMETHODOFMULTISENSORDATAFUSIONBASEDONPARAMETERESTIMATIONISPROPOSEDFORTHEDISTRIBUTEDTEMPERATURECONTROLSYSTEMTHEMAJORFEATUREOFTHESYSTEMISITSGENERALITY,WHICHISSUITABLEFORMANYFIELDSOFLARGESCALETEMPERATURECONTROLEXPERIMENTSHOWSTHATTHISSYSTEMPOSSESSESHIGHERACCURACY,RELIABILITY,GOODREALTIMECHARACTERISTICANDWIDEAPPLICATIONPROSPECTKEYWORDSDISTRIBUTEDCONTROLSYSTEMCANBUSINTELLIGENTCANNODEMULTISENSORDATAFUSION1INTRODUCTIONDISTRIBUTEDTEMPERATURECONTROLSYSTEMHASBEENWIDELYUSEDINOURDAILYLIFEANDPRODUCTION,INCLUDINGINTELLIGENTBUILDING,GREENHOUSE,CONSTANTTEMPERATUREWORKSHOP,LARGEANDMEDIUMGRANARY,DEPOT,ANDSOONA1A0A2THISKINDOFSYSTEMSHOULDENSURETHATTHEENVIRONMENTTEMPERATURECANBEKEPTBETWEENTWOPREDEFINEDLIMITSINTHECONVENTIONALTEMPERATUREMEASUREMENTSYSTEMSWEBUILDANETWORKTHROUGHRS485BUSUSINGASINGLECHIPMETERINGSYSTEMBASEDONTEMPERATURESENSORSWITHTHEAIDOFTHENETWORK,WECANCARRYOUTCENTRALIZEDMONITORINGANDCONTROLLINGHOWEVER,WHENTHEMONITORINGAREAISMUCHMOREWIDESPREADANDTRANSMISSIONDISTANCEBECOMESFARTHER,THEDISADVANTAGESOFRS485BUSBECOMEMOREOBVIOUSINTHISSITUATION,THETRANSMISSIONANDRESPONSESPEEDBECOMESLOWER,THEANTIINTERFERENCEABILITYBECOMESWORSETHEREFORE,WESHOULDSEEKOUTANEWCOMMUNICATIONMETHODTOSOLVETHEPROBLEMSPRODUCEDBYRS485BUSDURINGALLTHECOMMUNICATIONMANNERS,THEINDUSTRIALCONTROLORIENTEDFIELDBUSTECHNOLOGYCANENSURETHATWECANBREAKTHROUGHTHELIMITATIONOFTRADITIONALPOINTTOPOINTCOMMUNICATIONMODEANDBUILDUPAREALDISTRIBUTEDCONTROLANDCENTRALIZEDMANAGEMENTSYSTEMASASERIALCOMMUNICATIONPROTOCOLSUPPORTINGDISTRIBUTEDREALTIMECONTROL,CANBUSHASMUCHMOREMERITSTHANRS485BUS,SUCHASBETTERERRORCORRECTIONABILITY,BETTERREALTIMEABILITY,LOWERCOSTANDSOONPRESENTLY,ITHASBEENEXTENSIVELYUSEDINTHEIMPLEMENTATIONOFDISTRIBUTEDMEASUREMENTANDCONTROLDOMAINSWITHTHEDEVELOPMENTOFSENSORYTECHNOLOGY,MOREANDMORESYSTEMSBEGINTOADOPTMULTISENSORDATAFUSIONTECHNOLOGYTOIMPROVETHEIRPERFORMANCESMULTISENSORDATAFUSIONISAKINDOFPARADIGMFORINTEGRATINGTHEDATAFROMMULTIPLESOURCESTOSYNTHESIZETHENEWINFORMATIONSOTHATTHEWHOLEISGREATERTHANTHESUMOFITSPARTSA1A3A2A1A4A2A1A5A2ANDITISACRITICALTASKBOTHINTHECONTEMPORARYANDFUTURESYSTEMSWHICHHAVEDISTRIBUTEDNETWORKSOFLOWCOST,RESOURCECONSTRAINEDSENSORS2DISTRIBUTEDARCHITECTUREOFTHETEMPERATURECONTROLSYSTEMTHEDISTRIBUTEDARCHITECTUREOFTHETEMPERATURECONTROLSYSTEMISDEPICTEDINTHEFIGURE1ASCANBESEEN,THESYSTEMCONSISTSOFTWOMODULESSEVERALINTELLIGENTCANNODESANDAMAINCONTROLLERTHEYAREINTERCONNECTEDWITHEACHOTHERTHROUGHCANBUSEACHMODULEPERFORMSITSPARTINTOTHEDISTRIBUTEDARCHITECTURETHEFOLLOWINGISABRIEFDESCRIPTIONOFEACHMODULEINTHEARCHITECTURE31MAINCONTROLLERASTHESYSTEMSMAINCONTROLLER,THEHOSTPCCANCOMMUNICATEWITHTHEINTELLIGENTCANNODESITISDEVOTEDTOSUPERVISEANDCONTROLTHEWHOLESYSTEM,SUCHASSYSTEMCONFIGURATION,DISPLAYINGRUNNINGCONDITION,PARAMETERINITIALIZATIONANDHARMONIZINGTHERELATIONSHIPSBETWEENEACHPARTWHATSMORE,WECANPRINTORSTORETHESYSTEMSHISTORYTEMPERATUREDATA,WHICHISVERYUSEFULFORTHEANALYSISOFTHESYSTEMPERFORMANCE32INTELLIGENTCANNODEEACHINTELLIGENTCANNODEOFTHETEMPERATURECONTROLSYSTEMINCLUDESFIVEUNITSMCUASINGLECHIP,A/DCONVERSIONUNIT,TEMPERATUREMONITORINGUNITSENSORGROUP,DIGITALDISPLAYUNITANDACTUATORSACOOLINGUNITANDAHEATINGUNITTHEOPERATINGPRINCIPLEOFTHEINTELLIGENTCANNODEISDESCRIBEDASFOLLOWSINTHEPRACTICALAPPLICATION,WEDIVIDETHEREGIONOFTHECONTROLOBJECTIVEINTOMANYCELLS,ANDLAYTHEINTELLIGENTCANNODESINSOMEOFTHETYPICALCELLSINEACHNODE,MCUCOLLECTSTEMPERATUREDATAFROMTHETEMPERATUREMEASUREMENTSENSORGROUPSWITHTHEAIDOFTHEA/DCONVERSIONUNITSIMULTANEOUSLY,ITPERFORMSBASICDATAFUSIONALGORITHMSTOOBTAINAFUSIONVALUEWHICHISMORECLOSETOTHEREALONEANDTHEDIGITALDISPLAYUNITDISPLAYSTHEFUSINGRESULTOFTHENODETIMELY,SOWECANUNDERSTANDTHEENVIRONMENTTEMPERATUREINEVERYCONTROLCELLSEPARATELYBYCOMPARINGTHEFUSIONVALUEWITHTHESETONEBYTHEMAINCONTROLLER,THEINTELLIGENTCANNODECANIMPLEMENTTHEDEGENERATIVEFEEDBACKCONTROLOFEACHCELLTHROUGHENABLINGTHECORRESPONDINGHEATINGORCOOLINGDEVICESIFTHEFUSIONRESULTISBIGGERTHANTHESETVALUEINTHESPECIALINTELLIGENTCANNODE,THECOOLINGUNITWILLBEGINTOWORKONTHECONTRARY,IFTHEFUSIONRESULTISLESSTHANTHESETVALUEINTHENODETHEHEATINGUNITWILLBEGINTOWORKBYTHISMEANSWECANNOTONLYMONITORTHEENVIRONMENTTEMPERATURE,BUTALSOCANMAKETHECORRESPONDINGACTUATORWORKSOASTOREGULATETHETEMPERATUREAUTOMATICALLYATTHESAMETIMEEVERYCANNODEISABLETOSENDDATAFRAMETOTHECANBUSWHICHWILLNOTIFYTHEMAINCONTROLLERTHETEMPERATUREVALUEINTHECELLSOTHATCONTROLLERCANCONVENIENTLYMAKEDECISIONSTOMODIFYTHEPARAMETERORNOTSINCETHECANNODESCANREGULATETHETEMPERATUREOFTHECELLWHERETHEYARE,THETEMPERATUREINTHEWHOLEROOMWILLBEKEPTHOMOGENEOUSWHATSMORE,WECANALSOCONTROLTHEINTELLIGENTNODEBYMODIFYINGTHETEMPERATURESSETTINGVALUEONTHEHOSTPCGENERALLY,THEPROCESSORSONTHESPOTARENOTGOODATCOMPLEXDATAPROCESSINGANDDATAFUSING,SOITBECOMESVERYCRITICALHOWTOCHOOSEASUITABLEDATAFUSIONALGORITHMFORTHESYSTEMINTHEPOSTERIORSECTION,WEWILLINTRODUCEADATAFUSIONMETHODWHICHISSUITABLEFORTHEINTELLIGENTCANNODES。4MULTISENSORDATAFUSIONTHEAIMTOUSEDATAFUSIONINTHEDISTRIBUTEDTEMPERATURECONTROLSYSTEMISTOELIMINATETHEUNCERTAINTY,GAINAMOREPRECISEANDRELIABLEVALUETHANTHEARITHMETICALMEANOFTHEMEASUREDDATAFROMFINITESENSORSFURTHERMORE,WHENSOMEOFTHESENSORSBECOMEINVALIDINTHETEMPERATURESENSORGROUPS,THEINTELLIGENTCANNODECANSTILLOBTAINTHEACCURATETEMPERATUREVALUEBYFUSINGTHEINFORMATIONFROMTHEOTHERVALIDSENSORS41CONSISTENCYVERIFICATIONOFTHEMEASUREDDATADURINGTHEPROCESSOFTEMPERATUREMEASUREMENTINOURDESIGNEDDISTRIBUTEDTEMPERATURECONTROLSYSTEM,MEASUREMENTERRORCOMESINTOBEINGINEVITABLYBECAUSEOFTHEINFLUENCEOFTHEPAROXYSMALDISTURBORTHEEQUIPMENTFAULTSOWESHOULDELIMINATETHECARELESSMISTAKEBEFOREDATAFUSIONWECANELIMINATETHEMEASUREMENTERRORSBYUSINGSCATTERDIAGRAMMETHODINTHESYSTEMEQUIPPEDWITHLITTLEAMOUNTOFSENSORSPARAMETERSTOREPRESENTTHEDATADISTRIBUTIONSTRUCTUREINCLUDEMEDIANTA7,UPPERQUARTILENUMBERFA8,LOWERQUARTILENUMBERFA9ANDQUARTILEDISPERSIONDFITISSUPPOSEDTHATEACHSENSORINTHETEMPERATURECONTROLSYSTEMPROCEEDSTEMPERATUREMEASUREMENTINDEPENDENTLYINTHESYSTEM,THEREAREEIGHTSENSORSINEACHTEMPERATURESENSORGROUPOFTHEINTELLIGENTCANNODESOWECANOBTAINEIGHTTEMPERATUREVALUESINEACHCANNODEATTHESAMETIMEWEARRANGETHECOLLECTEDTEMPERATUREDATAINASEQUENCEFROMSMALLTOLARGETA0,TA11,TA12INTHESEQUENCE,TA0ISTHELIMITINFERIORANDTA12ISTHELIMITSUPERIORWEDEFINETHEMEDIANTA7AS1THEUPPERQUARTILEFA8ISTHEMEDIANOFTHEINTERVALTA7,TA12THELOWERQUARTILENUMBERFA9ISTHEMEDIANOFTHEINTERVALTA0,TA7THEDISPERSIONOFTHEQUARTILEIS（2）WESUPPOSETHATTHEDATAISANABERRATIONONEIFTHEDISTANCEFROMTHEMEDIANISGREATERTHANADF,THATIS,THEESTIMATIONINTERVALOFINVALIDDATAIS3INTHEFORMULA,AISACONSTANT,WHICHISDEPENDENTONTHESYSTEMMEASUREMENTERROR,COMMONLYITSVALUEISTOBE05,10,20ANDSOONTHERESTVALUESINTHEMEASUREMENTCOLUMNARECONSIDEREDASTOBETHEVALIDONESWITHCONSISTENCYANDTHESINGLECHIPINTHEINTELLIGENTCANNODEWILLFUSETHECONSISTENTMEASUREMENTVALUETOOBTAINAFUSIONRESULT5TEMPERATUREMEASUREMENTDATAFUSIONEXPERIMENTBYAPPLYINGTHEDISTRIBUTEDTEMPERATURECONTROLSYSTEMTOAGREENHOUSE,WEOBTAINANARRAYOFEIGHTTEMPERATUREVALUESFROMEIGHTSENSORSASFOLLOWSTHEMEANVALUEOFTHEEIGHTMEASUREMENTTEMPERATURERESULTISCOMPARINGTHEMEANVALUE8TWITHTHETRUETEMPERATUREVALUEINTHECELLOFTHEGREENHOUSE,WECANKNOWTHATTHEMEASUREMENTERRORIS05AFTERWEELIMINATETHECARELESSERRORFROMTHEFIFTHSENSORUSINGTHEMETHODINTRODUCEDBEFORE,WECANOBTAINTHEMEANVALUEOFTHERESTSEVENDATA7T296,THEMEASUREMENTERRORIS04THESEVENRESTCONSISTENTSENSORCANBEDIVIDEDINTOTWOGROUPSWITHSENSORSA0,SA3,SA13INTHEFIRSTGROUPANDSENSORSA11,SA4,SA14,SA12INTHESECONDONETHEARITHMETICALMEANOFTHETWOGROUPSOFMEASUREDDATAANDTHESTANDARDDEVIATIONAREASFOLLOWSRESPECTIVELYACCORDINGTOFORMULA13,WECANEDUCETHETEMPERATUREFUSIONVALUEWITHTHESEVENMEASUREDTEMPERATUREVALUETHEERROROFTHEFUSIONTEMPERATURERESULTIS03ITISOBVIOUSTHATTHEMEASUREMENTRESULTFROMDATAFUSIONISMORECLOSETOTHETRUEVALUETHANTHATFROMARITHMETICALMEANINTHEPRACTICALAPPLICATION,THEMEASUREDTEMPERATUREVALUEMAYBEVERYDISPERSIVEASTHEMONITORINGAREABECOMESBIGGER,DATAFUSIONWILLIMPROVETHEMEASURINGPRECISIONMUCHMOREOBVIOUSLY6CONCLUSIONSTHEDISTRIBUTEDTEMPERATURECONTROLSYSTEMBASEDONMULTISENSORDATAFUSIONISCONSTRUCTEDTHROUGHCANBUSITTAKESFULLADVANTAGEOFTHECHARACTERISTICSOFFIELDBUSCONTROLSYSTEMFDCSDATAACQUISITION,DATAFUSIONANDSYSTEMCONTROLLINGISCARRIEDOUTINTHEINTELLIGENTCANNODE,ANDSYSTEMMANAGEMENTISIMPLEMENTEDINTHEMAINCONTROLLERHOSTPCBYUSINGCANBUSANDDATAFUSIONTECHNOLOGYTHERELIABILITYANDREALTIMEABILITYOFTHESYSTEMISGREATLYIMPROVEDWEARESURETHATITWILLBEWIDELYUSEDINTHEFUTUREREFERENCES1WALTZELIINASJ,MULTISENSORDATAFUSION,ARTECHHOUSE,NEWYORK,19902PHILIPSSEMICONDUCTORS,1995B“P82C150CANSERIALLINKEDI/ODEVICESLIOWITHDIGITALANDANALOGPORTFUNCTIONS”,PRELIMINARYDATASHEET,OCTOBER19953ASLAM,J,LI,Q,RUS,D,THREEPOWERAWAREROUTINGALGORITHMSFORSENSORNETWORKS,WIRELESSCOMMUNICATIONSANDMOBILECOMPUTING,PP187208,20034RCLUO,MGKAY,MULTISENSORINTEGRATIONANDFUSIONININTELLIGENTSYSTEMS,IEEETRANSONSYSTEMS,MAN,ANDCYBERNETICS,VOL19,NO5,PP901931SEPTEMBER/OCTOBER,19895PAULF,SENSORSDATAFUSION,JOURNALOFINTELLIGENTANDROBOTICSYSTEM,PP103106,19986THOMOPOULOSSC,SENSORINTEGRATIONANDDATAFUSION,JOURNALOFROBOTICSYSTEMS,PP337372,19907RAOBSY,DURRANTWHYTEHF,SHEENJA,AFULLYDECENTRALIZEDMULTISENSORSYSTEMFORTRACKINGANDSURVEILLANCE,THEINTERNATIONALJOURNALOFROBOTICSRESEARCH,MASSACHUSETTSINSTITUTEOFTECHNOLOGY,VOL12,NO1,PP2044,FEB19938TENNEYRR,JRSANDELLNR,DETECTIONWITHDISTRIBUTEDSENSORS,AES,VOL17,PP501510,1981基于多数据融合传感器的分布式温度控制系统摘要在过去的几十年，温度控制系统已经被广泛的应用。对于温度控制提出了一种基于多传感器数据融合和CAN总线控制的一般结G7512。一种G7044G7053G8873G7171基于多传感器数据融合G1284G16757G12651G8873G2454数G2010G5079G5347温控系统。G16825系统的G18337要G10317G9869G7171G1866G1861G5627，G1866G17878用于G5468多G1867G1319G20058G3507的G3835G3423的温度控制。G4466G20576结G7536G15932G7138G16825系统G1867G7389G17751G20652的G1946G11842G5627G451G2499G19764G5627，G14403G3921的G4466G7114G5627和广泛的应用G2081G7235。G1863G19202G16801G2010G5079G5347控制系统G727CAN总线控制G727G7246G14033CANG14422G9869G727多数据融合传感器。1G1183G13473G2010G5079G5347温度控制系统已经被广泛的应用在G6117G1216G7097G5132G10995G8975和G10995G1147,G2265G6336G7246G14033G5326G12581G451温G4472G451G5670温G17722G19400G451G3835G1025G3423G12930G1191G451G1191G5223G12573。G17837种控制G1457G16789G10627G3671温度G14033被G1457G6357在G1016G1022G20056G1820G16786G4462的温度G19400。在传统的温度G8991G18339系统G1025，G6117G1216用一G1022基于温度传感器的G2345G10267G7438系统G5326G12447一G1022RS485G4628G3507G13605控制器G13605G13488。G1523G2173G13605G13488,G6117G1216G14033G4466G15904G19610G1025G11429控和控制G9994G13792,G5415G11429G8991G2318G3507G2010G5079G7368广泛和传G17767G17329G12175G7368G17840,RS485总线控制系统的G2167G2195G7368G2164G12373出。在G17837种G5785G1929G991，传G17767和G2721应G17907度G2476G5483G7368G1314，G6251G5190G6212G14033G2159G7368G5058。G3252此，G6117G1216应G5415寻找G7044的通信的G7053G8873来解决用RS485总线控制系统G13792G1147G10995的问题。在所G7389的通讯G7053G5347G1025，G17878用于工业控制系统的总线控制技术，G6117G1216G2499以G12373破传统G9869对G9869通信G7053G5347的限制G451G5326G12447一G1022真正的G2010G5079G5347控制与G19610G1025管理系统，CAN总线控制比RS485总线控制系统G7368G7389优G2195。比如G7368G3921的纠错G14033G2159G451改善G4466G7114的G14033G2159，G1314成本G12573。目G2081，它正被广泛的应用于G4466现G2010G5079G5347G8991G18339和范围控制。随着传感器技术的发展，越来越多的系统开始采用多传感器数据融合技术来提G20652他G1216的G4466现效G7536。多传感器数据融合G7171一种范G5347对多种来源整合数据,以综合成G7044的信息，比G1866他部G2010的总和G7368G2164强G3835。无论在G5415代和未来，系统的G1314成本，G14422省资源都G7171传感器G1025的一项G18337要指标。2G2010G5079G5347架G7512的温度控制系统G2010G5079G5347架G7512温度控制系统如图G1025所示的图1。G2499以看出，G17837系统由G1016G1022模块G1016G1022G7246G14033CANG14422G9869和一G1022主要的控制器组成。每G1022模块部G2010执G15904进入G2010G5079G5347架G7512。G991面的G7171简短的描述G991各模块。31主要控制器作为系统的主要控制器，G17837主PCG14033和G7246G14033CANG14422G9869通信。它致G2159于G11429督和控制整G1022系统，系统配置G451显示运G15904状G1929G451G2454数初始化和协调各部G2010G19400的G1863系。G7368G18337要的G7171，G6117G1216G14033打印或储存系统的历史温度的数据，G17837对G2010析系统G5627G14033G7171非G5132G7389用的。32G7246G14033CANG14422G9869每一G1022温度控制系统的G7246G14033CANG14422G9869G7389五G1022部G2010MCU一G1022G2345G10267G7438，A/D转换G2345元，温度G11429G8991G2345元传感器群，数字显示器，激发器一G1022冷却G2345元和供暖G2345元。接G991来G1183G13473G7246G14033CANG14422G9869的工作原理。在G4466际操作G1025，G6117G1216划G2010控制的目标进入一些G2345元，储存G7246G14033CANG14422G9869在一些典G3423的G2345元。在每G1022G14422G9869，G2345G10267G7438G1523G2173A/D转换G2345位从温度G8991G18339传感器收G19610温度数据。同G7114，它执G15904基本的数据融合运G12651G14731G5483运G12651的结G7536,G7368接G17829G4466际。数字显示器G2462G7114显示融合G14422G9869的结G7536，所以G6117G1216G14033G2462G7114了解在每G1022控制G2345元所G3800的G10627G3671温度。通过比G17751融合G1552用主控制器G7512G5326一G1022，G17837G7691G7246G14033CANG14422G9869G2499以通过G11468应的G2164G9921或冷却G16025置G4466现G2465G20316控制各G2345元。如G7536在G10317G2047的G7246G14033CANG14422G9869融合结G7536G3835于G16786G4462G1552，冷却G2345位G4570开始工作。G11468G2465,如G7536在G14422G9869融合的结G7536G1314于G16786G4462G1552G2164G9921G2345位G4570开始工作。用G17837种G7053G8873,G6117G1216G993G1177G14033G11429控G10627G3671温度,G17836G14033G1582G11468应的G16314发器来G4466现温度的G14270G2172调G14422。与此同G7114，每G1022CANG14422G9869发G17877数据G5115G2052CAN总线，CAN总线G4570G2590G11705在着G2345元G1025的主控制器G17837温度G1552，G18039G1052G17837控制器G14033G1427G2045的作出G7171G2554G1474改G17837G2454数的决G4462。G14270从G17837CANG14422G9869G7389调G14422温度的G2345元在，整G1022G6163G19400的温度G4570G1457G6357G3355G2260。G7368G18337要的G7171,G6117G1216G1075G2499以通过在主PCG990G1474改温度的G16786G4462G1552来控制G17837G7246G14033G14422G9869。一般来G16840,G3800理器G993G6809G19283G2375G7114的G3809G7446的数据G3800理和数据融合,所以如G1321G17885G6333合G17878的数据融合G12651G8873对系统G2476G5483G14279G1863G18337要。G2530一G14422G1025,G6117G1216G4570G1183G13473G17878合于G7246G14033CANG14422G9869的数据融合G7053G8873。4多传感器数据融合G7100在G2045用数据融合在G2010G5079G5347温度控制系统G1025来G9052G19512G993G11842G4462G5627,G14731G5483G7368G12946G11842G451G2499G19764G7171比从限G4462的传感器的G8991G18339数据的G12651数G5191G3355G1552G7368G18337要。G5415一些传感器的温度传感器G2476为无效的，G17837G7246G14033CANG14422G9869G17836G2499以通过G10088G7041G17837些信息G13792从G7389用的传感器G14731G5483G12946G11842温度。41G4466G8991数据的一致G5627G7692G4466在G6117G1216G16786G16757的G2010G5079G5347温度控制系统的温度G8991G18339的过G12255G1025,G12373发G5627G5190G6212或G16786G3803G6937G19568的G5445G2721G993G2499G18003G1825的G1147G10995G8991G18339G16835G5058。所以在数据融合G2081G6117G1216应G16825G9052G19512错G16835的G16835G5058。G6117G1216G2499以G2045用系统G1025配G3803的G4581G18339传感器用G6967G9869图发G9052G19512G17837G1022G8991G18339G16835G5058。用G2454数来代G15932数据G2010G5079结G7512G2265G6336G1025G1552TA7,G990G3247位数FA8,G991G3247位数FA9和G2010G6967G3247位数DFG1166G1216G16760为每G1022传感器在温度控制系统的温度G8991G18339所G5483G10432G12447。在系统G1025，G7389G1855G1022传感器在各G7246G14033CANG14422G9869的温度传感器群。所以G6117G1216在每G1022CANG14422G9869同一G7114G2063G14033G14731G54838G1022温度G1552。G6117G1216G4445G6502收G19610G2052的温度数据G5219G2027由G4579G2052G3835TA0,TA11,TA12在G5219G2027G1025，T1G7171G7380G1314位G13792T8G7171G7380G20652位。G6117G1216G4462G1053TA7为G990G3247位数FA8G7171G2318G19400TA7,TA12的G1025G1552，G1314G3247位数FA15G7171G2318G19400TA0,TA7的G1025G1552，G17837G3247位数的G12175G6967G7171。G16825G1