《工業(yè)互聯(lián)網(wǎng)基礎(chǔ)（雙語）》課件-01工業(yè)互聯(lián)網(wǎng)行業(yè)應(yīng)用

工業(yè)互聯(lián)網(wǎng)行業(yè)應(yīng)用工業(yè)互聯(lián)網(wǎng)基礎(chǔ)（雙語）ApplicationsofIndustrialInternet——1.INDICS平臺(tái)應(yīng)用ApplicationsofINDICS通過構(gòu)建服務(wù)體系實(shí)現(xiàn)資源連接與配置Resourceconnectionandconfigurationarerealizedbybuildingaservicesystem02面向制造業(yè)新需求Facingthenewneedsofmanufacturingindustry01支撐制造資源泛在連接、彈性供給、高效配置Supportubiquitousconnection,flexiblesupply,andefficientallocationofmanufacturingresources0301通過技術(shù)實(shí)現(xiàn)全面數(shù)據(jù)互聯(lián)Enablingcomprehensivedataconnectivitythroughtechnology02提供不同層次的服務(wù)Providedifferentlevelsofservice（IaaS、DaaS、PaaS、SaaS）

通過工業(yè)互聯(lián)網(wǎng)平臺(tái)實(shí)現(xiàn)生產(chǎn)過程的數(shù)字化、智能化公司專注于有色金屬和化工產(chǎn)品的生產(chǎn)與銷售，追求業(yè)務(wù)的數(shù)字化轉(zhuǎn)型。Thecompanyfocusesontheproductionandsalesofnon-ferrousmetalsandchemicalproducts,andpursuesthedigitaltransformationofthebusiness.ThedigitizationandintellectualizationoftheproductionprocessarerealizedthroughtheindustrialInternetplatform.公司已建立基礎(chǔ)的信息化管理系統(tǒng)，但面臨進(jìn)一步數(shù)字化的需求。需要構(gòu)建一個(gè)更高效、集成的智能化生產(chǎn)運(yùn)行管控平臺(tái)。原有系統(tǒng)基礎(chǔ)與需求/BasisandRequirementsofOriginalSystemThecompanyhasestablishedabasicinformationmanagementsystem,butisfacingthedemandforfurtherdigitalization.Itisnecessarytobuildamoreefficientandintegratedintelligentproductionoperationcontrolandmanagementplatform.建設(shè)了基于IaaS部署、PaaS平臺(tái)支撐和SaaS應(yīng)用的智能化生產(chǎn)運(yùn)行管控平臺(tái)。實(shí)現(xiàn)了微服務(wù)架構(gòu)的遷移，提高了系統(tǒng)的可擴(kuò)展性和靈活性。滿足了企業(yè)對(duì)垂直管理、實(shí)時(shí)監(jiān)控、穿透查詢的應(yīng)用要求。IndPl@t平臺(tái)系統(tǒng)/IndPl@tSystemAnintelligentproductionoperationcontrolandmanagementplatformbasedonIaaSdeployment,PaaSplatformsupportandSaaSapplicationshasbeenconstructed.Themigrationofthemicroservicearchitecturehasbeenachieved,improvingthescalabilityandflexibilityofthesystem.Theapplicationrequirementsofenterprisesforverticalmanagement,real-timemonitoringandpenetratingqueryhavebeenmet.通過平臺(tái)實(shí)施，解決了信息孤島問題，加強(qiáng)了部門間的協(xié)作。Throughtheimplementationoftheplatform,theproblemofinformationislandshasbeensolvedandthecollaborationbetweendepartmentshasbeenstrengthened.01實(shí)時(shí)、準(zhǔn)確的數(shù)據(jù)分析，加強(qiáng)了對(duì)車間運(yùn)營狀況的監(jiān)控。Real-timeandaccuratedataanalysishasenhancedthemonitoringoftheworkshopoperationstatus.02提升了生產(chǎn)效率，增強(qiáng)了企業(yè)的市場(chǎng)競(jìng)爭(zhēng)力和國際影響力。Theproductionefficiencyhasbeenimproved,andthemarketcompetitivenessandinternationalinfluenceoftheenterprisehavebeenenhanced.03實(shí)施成效/Implementation某船舶公司致力于成為”國內(nèi)領(lǐng)先、世界一流“的創(chuàng)新型海洋裝備集團(tuán)。Acertainshippingcompanyiscommittedtobecomingan"innovativemarineequipmentgroupthatisdomesticallyleadingandworld-class".通過工業(yè)互聯(lián)網(wǎng)平臺(tái)，支持公司戰(zhàn)略目標(biāo)的實(shí)現(xiàn)。Itsupportstherealizationofthecompany'sstrategicgoalsthroughtheindustrialInternetplatform.面對(duì)產(chǎn)業(yè)結(jié)構(gòu)調(diào)整和轉(zhuǎn)型發(fā)展，公司需要構(gòu)建一個(gè)全產(chǎn)業(yè)鏈的云應(yīng)用集群。Facingindustrialstructureadjustmentandtransformationdevelopment,thecompanyneedstobuildacloudapplicationclusterfortheentireindustrialchain.“船舶云”平臺(tái)將整合資源，推動(dòng)產(chǎn)業(yè)鏈的協(xié)同創(chuàng)新。The"ShipCloud"platformwillintegrateresourcesandpromotecollaborativeinnovationintheindustrialchain.“船舶云”平臺(tái)/"ShipCloud"Platform0102系統(tǒng)構(gòu)成/Systemcomposition01利用INDICS平臺(tái)，搭建了IaaS和PaaS平臺(tái)，實(shí)現(xiàn)了設(shè)備的智能化監(jiān)控。ByleveragingtheINDICSplatform,theIaaSandPaaSplatformshavebeensetup,achievingintelligentmonitoringofequipment.02通過數(shù)字孿生技術(shù)和能耗數(shù)據(jù)分析，優(yōu)化了設(shè)備維護(hù)和能源使用效率。Throughdigitaltwintechnologyandenergyconsumptiondataanalysis,theequipmentmaintenanceandenergyusageefficiencyhavebeenoptimized.03基于現(xiàn)場(chǎng)能耗數(shù)據(jù)的采集與分析，對(duì)產(chǎn)線能效使用進(jìn)行合理規(guī)劃，提高能源使用效率。Basedonthecollectionandanalysisofon-siteenergyconsumptiondata,areasonableplanfortheenergyefficiencyusageoftheproductionlinehasbeenmadetoimprovetheenergyusageefficiency.實(shí)施成效/Implementation設(shè)備利用率EquipmentUtilization設(shè)備利用率提升了10%10%部署成本DeploymentCost實(shí)施效果顯著，系統(tǒng)上線時(shí)間和部署成本均減少了15%15%電力消耗ElectricityCost電力消耗和二氧化碳排放下降15%15%計(jì)劃外停機(jī)Unplanneddowntime計(jì)劃外故障停機(jī)減少10%，生產(chǎn)效率大幅提升10%Theimplementationeffectisremarkable.Thesystemonlinetimeanddeploymentcosthavebothdecreasedby15%.Theequipmentutilizationratehasincreasedby10%.Electricityconsumptionandcarbondioxideemissionshavedecreasedby15%.Unplanneddowntimeduetofaultshasreducedby10%,andtheproductionefficiencyhassignificantlyimproved.結(jié)合文章中的案例，分析INDICS平臺(tái)在賦能企業(yè)實(shí)現(xiàn)智能化生產(chǎn)運(yùn)行管控方面的具體作用和優(yōu)勢(shì)有哪些？并舉例說明。思考Basedonthecasesinthearticle,analyzewhatarethespecificrolesandadvantagesoftheINDICSplatforminenablingenterprisestoachieveintelligentproductionoperationcontrolandmanagement?Andgiveexamplestoillustrate.工業(yè)互聯(lián)網(wǎng)行業(yè)應(yīng)用工業(yè)互聯(lián)網(wǎng)基礎(chǔ)（雙語）ApplicationsofIndustrialInternet——2.Xrea平臺(tái)應(yīng)用ApplicationsofXrea數(shù)據(jù)可視化與APP快速開發(fā)RapiddatavisualizationandAPPdevelopment通過數(shù)據(jù)可視化技術(shù)，直觀展示工業(yè)數(shù)據(jù)，輔助企業(yè)做出更明智的決策。Throughdatavisualizationtechnology,industrialdatacanbevisualizedtohelpenterprisesmakemoreinformeddecisions.工業(yè)機(jī)理模型與應(yīng)用開發(fā)Industrialmechanismmodelsandapplicationdevelopment平臺(tái)提供工業(yè)機(jī)理模型，幫助企業(yè)深入理解工業(yè)過程，優(yōu)化生產(chǎn)流程。Theplatformprovidesindustrialmechanismmodelstohelpenterprisesdeeplyunderstandindustrialprocessesandoptimizeproductionprocesses.設(shè)備連接與數(shù)據(jù)采集DeviceconnectionanddataacquisitionXrea平臺(tái)通過強(qiáng)大的設(shè)備連接與數(shù)據(jù)采集能力，實(shí)現(xiàn)工業(yè)數(shù)據(jù)的實(shí)時(shí)匯聚與管理。TheXreaplatformrealizesreal-timeaggregationandmanagementofindustrialdatathroughpowerfulequipmentconnectionanddatacollectioncapabilities.漢云平臺(tái)/XreaPlatform漢云平臺(tái)，又稱Xrea平臺(tái)。漢云平臺(tái)為企業(yè)提供工業(yè)互聯(lián)網(wǎng)“端-云-用”一體化數(shù)字化能力。Cloudplatform,alsoknownasXreaplatform.TheHanyunplatformprovidesenterpriseswiththeintegrateddigitalcapabilityof"end-cloud-use"oftheindustrialInternet.專用車輛運(yùn)營成本不透明，無法獲取設(shè)備油耗、保養(yǎng)與維修記錄Theoperatingcostsofspecialvehiclesarenottransparent,andthereisnoaccesstoequipmentfuelconsumption,maintenanceandrepairrecords.項(xiàng)目眾多、設(shè)備分散在國內(nèi)外各地，無法準(zhǔn)確統(tǒng)計(jì)設(shè)備工作效率及利用率Therearemanyprojectsandequipmentscatteredathomeandabroad,soitisimpossibletoaccuratelycounttheefficiencyandutilizationrateofequipment.設(shè)備作業(yè)事故頻發(fā)，無法實(shí)時(shí)監(jiān)測(cè)設(shè)備故障情況，不能及時(shí)采取解決措施Equipmentoperationaccidentsoccurfrequently,anditisimpossibletomonitorequipmentfailuresinrealtime,andsolutionscannotbetakenintime.存在的問題/ExistingProblems利用Xrea平臺(tái)實(shí)現(xiàn)設(shè)備運(yùn)行狀態(tài)的實(shí)時(shí)監(jiān)控，及時(shí)預(yù)警設(shè)備安全問題。TheXreaplatformisusedtorealizereal-timemonitoringofequipmentoperationstatusandtimelywarningofequipmentsafetyproblems.實(shí)時(shí)設(shè)備監(jiān)控與安全預(yù)警Real-timeequipmentmonitoringandsafetywarning通過數(shù)據(jù)分析，科學(xué)調(diào)度設(shè)備使用，提高設(shè)備利用率，減少租賃成本。Throughdataanalysis,theuseofequipmentisscientificallyscheduled,theutilizationrateofequipmentisimproved,andtheleasingcostisreduced.設(shè)備利用率提升Increasedequipmentutilization車輛設(shè)備管控平臺(tái)/VehicleManagementandControlPlatform通過記錄維保內(nèi)容和備件使用，優(yōu)化設(shè)備維護(hù)流程，降低運(yùn)營成本。Byrecordingthemaintenancecontentandtheuseofspareparts,theequipmentmaintenanceprocessisoptimizedandtheoperatingcostisreduced.設(shè)備維保與成本控制Equipmentmaintenanceandcostcontrol實(shí)施成效/Implementation安全預(yù)警Safetywarnings實(shí)現(xiàn)了實(shí)時(shí)設(shè)備安全預(yù)警，降低設(shè)備作業(yè)事故3%3%Real-timeequipmentsafetyearlywarninghasbeenrealized,reducingequipmentoperationaccidentsby3%準(zhǔn)確核算Accurateaccounting進(jìn)行了準(zhǔn)確的設(shè)備核算，提前備貨、油耗監(jiān)管，有效降低運(yùn)營成本7%7%Accurateequipmentaccounting,advancestocking,fuelconsumptionsupervision,effectivelyreduceoperatingcostsby7%設(shè)備利用率EquipmentUtilization降低了設(shè)備租賃成本，設(shè)備利用率提高了5%5%Reducedequipmentrentalcostsandincreasedequipmentutilizationby5%存在的問題/ExistingProblems01運(yùn)輸途中存在安全隱患提供實(shí)時(shí)監(jiān)控車輛運(yùn)行狀態(tài)管控與服務(wù)平臺(tái)，實(shí)時(shí)報(bào)警確保車輛及貨物的在途安全。Providereal-timemonitoringofvehicleoperationstatuscontrolandserviceplatform,real-timealarmtoensurethesafetyofvehiclesandgoodsintransit.02無法實(shí)時(shí)獲取車輛位置結(jié)合駕駛行為算法模型，改善駕駛員的駕駛行為。Combinedwiththedrivingbehavioralgorithmmodel,thedrivingbehaviorofthedriverisimproved.03作業(yè)調(diào)度不合理實(shí)時(shí)獲取車輛作業(yè)狀態(tài)，在線設(shè)置作業(yè)任務(wù)，并根據(jù)歷史作業(yè)記錄對(duì)車輛作業(yè)路線進(jìn)行優(yōu)化。Obtainthevehicleoperationstatusinrealtime,settheoperationtaskonline,andoptimizethevehicleoperationrouteaccordingtothehistoricaloperationrecord.PotentialsafetyhazardsintransitCannotgetthelocationofvehicleUnreasonablejobscheduling實(shí)施成效/Implementation24%基于服務(wù)網(wǎng)點(diǎn)分布，實(shí)現(xiàn)售后服務(wù)的精準(zhǔn)響應(yīng)，提高客戶滿意度。Basedonthedistributionofserviceoutlets,accurateresponsetoafter-salesserviceisrealizedandcustomersatisfactionisimproved.客戶滿意度提升Increasedcustomersatisfaction70%通過平臺(tái)減少采購業(yè)務(wù)人員溝通成本，提高工作效率。Throughtheplatform,thecommunicationcostsofprocurementbusinesspersonnelarereducedandworkefficiencyisimproved.溝通成本與工作量降低Communicationcostandworkloadreduction37%通過合理規(guī)劃，降低物流運(yùn)輸成本，提升運(yùn)輸效率與運(yùn)力。Throughreasonableplanning,reducelogisticsandtransportationcosts,andimprovetransportationefficiencyandcapacity.運(yùn)輸成本與效率優(yōu)化Transportationcostandefficiencyoptimization020301生產(chǎn)服務(wù)人員未能使用信息化軟件管理，且未建立精細(xì)化管理流程Theproductionandservicepersonnelfailedtouseinformationsoftwareformanagement,anddidnotestablisharefinedmanagementprocess.港口設(shè)備滿負(fù)荷運(yùn)轉(zhuǎn)，故障記錄無法快速定位Theportequipmentisrunningatfullcapacity,andfaultrecordscannotbequicklylocated.港口設(shè)備類型眾多，無法進(jìn)行高效管理Therearemanytypesofportequipmentthatcannotbemanagedefficiently.存在的問題/ExistingProblems港口智能設(shè)備管理平臺(tái)/PortIntelligentEquipmentManagementPlatform通過建立設(shè)備信息臺(tái)賬，實(shí)現(xiàn)對(duì)設(shè)備的高效管理。Throughtheestablishmentofequipmentinformationledger,theefficientmanagementofequipmentisrealized.設(shè)備信息臺(tái)賬與高效管理Equipmentinformationledgerandefficientmanagement通過多終端協(xié)同，提高港口信息化管理水平。Throughmulti-terminalcollaboration,thelevelofportinformationmanagementisimproved.信息化管理水平提升Improvementoftheinformationmanagementlevel通過數(shù)據(jù)分析，提升設(shè)備資產(chǎn)利用效率，降低設(shè)備故障維修周期。Throughdataanalysis,improvetheutilizationefficiencyofequipmentassetsandreducethemaintenancecycleofequipmentfailures.設(shè)備資產(chǎn)利用效率與維護(hù)效率提升Improvementofassetutilizationandmaintenanceefficiency設(shè)備資產(chǎn)利用效率提升

25%Equipmentassetutilizationefficiencyincreasedby25%提升運(yùn)營人員工作效率

20%Workefficiencyofoperatorsimproved20%減少設(shè)備故障修復(fù)時(shí)間

30%EquipmentfailurerepairtimeReducedby30%實(shí)施成效/Implementation結(jié)合文章中的案例，分析Xrea平臺(tái)在解決企業(yè)設(shè)備管理和運(yùn)營問題方面采取了哪些具體措施？這些措施分別帶來了哪些成效？思考Basedonthecasesinthearticle,analyzewhatspecificmeasurestheXreaplatformhastakentosolvetheproblemsofenterpriseequipmentmanagementandoperation?Whateffectshavethesemeasuresbroughtrespectively?工業(yè)互聯(lián)網(wǎng)行業(yè)應(yīng)用工業(yè)互聯(lián)網(wǎng)基礎(chǔ)（雙語）ApplicationsofIndustrialInternet——3.COSMOPlat平臺(tái)應(yīng)用ApplicationsofCOSMOPlat卡奧斯平臺(tái)/COSMOPlatCOSMOPlat平臺(tái)將用戶需求和整個(gè)智能制造體系連接起來，讓用戶可以全流程參與產(chǎn)品設(shè)計(jì)研發(fā)、生產(chǎn)制造、物流配送、迭代升級(jí)等環(huán)節(jié)，為企業(yè)提供互聯(lián)工廠建設(shè)、大規(guī)模定制、大數(shù)據(jù)增值、供應(yīng)鏈金融、協(xié)同制造、知識(shí)共享、檢測(cè)與認(rèn)證、設(shè)備智能維保等服務(wù)，具有跨領(lǐng)域、跨行業(yè)復(fù)制的能力。TheCOSMOPlatplatformconnectsuserneedswiththeentireintelligentmanufacturingsystem,allowinguserstoparticipateinproductdesignanddevelopment,manufacturing,logisticsanddistribution,iterativeupgradingandotherlinksinthewholeprocess,providingenterpriseswithservicessuchasinterconnectedfactoryconstruction,masscustomization,bigdatavalue-added,supplychainfinance,collaborativemanufacturing,knowledgesharing,testingandcertification,andintelligentequipmentmaintenance,withtheabilitytoreplicateacrossfieldsandindustries.企業(yè)內(nèi)部問題/InternalIssues生產(chǎn)管理效率低，倉儲(chǔ)管理混亂，數(shù)據(jù)不清；Lowproductionefficiency,chaoticinwarehouse,anduncleardata;公司信息化系統(tǒng)過程無法有效控制及打通信息壁壘；TheprocessofITsystemisn’teffectivelycontrolledandbrokendatabarrier;車間效率低，產(chǎn)品品質(zhì)不可控；Lowefficiencyofworkshop,anduncontrollableproductquality;無法完善管理體系流程及標(biāo)準(zhǔn)作業(yè)流程，生產(chǎn)效率低、質(zhì)量差。Nomanagementsystemprocessandstandardoperatingprocedures,lowproductionefficiencyandpoorquality.行業(yè)現(xiàn)狀/IndustryStatusQuo存在的問題/ExistingProblems同質(zhì)化競(jìng)爭(zhēng)、生產(chǎn)規(guī)模增長過快；Homogeneouscompetition,productionscalegrowthfast;庫存過高、資金周轉(zhuǎn)困難；Inventoryistoohighandcapitalturnoverisdifficult;消費(fèi)需求個(gè)性化和多元化趨勢(shì)。Trendsinpersonalizationanddiversificationofdemand.

服裝定制管理平臺(tái)/Clothingcustomizationmanagementplatform用戶參與交互、虛擬設(shè)計(jì)等全過程，實(shí)現(xiàn)大規(guī)模定制。Usersparticipateinthewholeprocessofinteraction,virtualdesign,etc.,toachievemasscustomization.通過ERP、MES與OMS下單系統(tǒng)關(guān)聯(lián)，實(shí)現(xiàn)數(shù)據(jù)實(shí)時(shí)化。ThroughtheassociationofERP,MESandOMSorderingsystem,real-timedataisrealized.按需生產(chǎn)，庫存降低35%On-demandproduction,inventoryreductionby35%生產(chǎn)智能化，生產(chǎn)效率提高28%Intelligentproduction,productionefficiencyincreasedby28%定制產(chǎn)品毛利率提升26.5%Grossprofitmarginofcustomizedproductsincreasedby26.5%工廠快速響應(yīng)，交期縮短38天Thefactoryrespondedquicklyandshortenedthedeliverytimeby38days滿足用戶個(gè)性化需求，實(shí)現(xiàn)大規(guī)模定制轉(zhuǎn)型Meetthepersonalizedneedsofusersandrealizethetransformationofmasscustomization實(shí)施成效/Implementation增值分享Value-addedsharing企業(yè)體驗(yàn)升級(jí)Enterpriseexperienceupgrade人員、設(shè)備、材料、方法、環(huán)境、測(cè)量等因素對(duì)產(chǎn)品質(zhì)量的影響。Theinfluenceofpersonnel,equipment,materials,methods,environment,measurementandotherfactorsonproductquality.確保生產(chǎn)過程穩(wěn)定和可控，提高產(chǎn)品質(zhì)量，降低運(yùn)營成本。Ensurethattheproductionprocessisstableandcontrollable,improveproductquality,andreduceoperatingcosts.存在的問題/ExistingProblems生產(chǎn)過程影響因素多Manyfactorsinfluencingtheproductionprocess”制造中心級(jí)質(zhì)量中心”“Manufacturingcenter-levelqualitycenter”SPC云平臺(tái)/SPCCloudPlatform數(shù)據(jù)采集及SPC分析;實(shí)現(xiàn)產(chǎn)品質(zhì)量的生產(chǎn)數(shù)據(jù)追溯。DataacquisitionandSPCanalysis;Realizethetraceabilityofproductiondataofproductquality.實(shí)現(xiàn)生產(chǎn)現(xiàn)場(chǎng)數(shù)據(jù)的實(shí)時(shí)監(jiān)控和追溯;數(shù)據(jù)可視化，提升產(chǎn)品質(zhì)量指標(biāo)。Real-timemonitoringandtraceabilityofproductionsitedata;Datavisualizationtoimproveproductqualityindicators.0102SPC系統(tǒng)功能/SPCsystemfeatures企業(yè)效益/Businessbenefits存在的問題/ExistingProblems設(shè)備數(shù)字化程度高，但聯(lián)網(wǎng)率低導(dǎo)致生產(chǎn)物料混亂，效率不穩(wěn)定。提供紡紗物聯(lián)系統(tǒng)、生產(chǎn)監(jiān)控系統(tǒng)等，實(shí)現(xiàn)生產(chǎn)數(shù)據(jù)的實(shí)時(shí)調(diào)度。Theequipmenthasahighdegreeofdigitalization,butthelownetworkingrateleadstothechaosofproductionmaterialsandtheunstableefficiency.ProvidespinningIOTsystem,productionmonitoringsystem,etc.,toachievereal-timeschedulingofproductiondata.紡織生產(chǎn)云平臺(tái)/TextileProductionCloudPlatform04紡紗工業(yè)APPSpinningIndustryAPP基于工業(yè)互聯(lián)網(wǎng)數(shù)據(jù)采集，為紡織企業(yè)提供移動(dòng)端APP，幫助企業(yè)實(shí)現(xiàn)數(shù)字化、智能化。BasedonthedatacollectionoftheindustrialInternet,itprovidesmobileAPPfortextileenterprisestohelpthemrealizedigitalizationandintelligence.01紡紗物聯(lián)系統(tǒng)SpinningIoTSystem由采集網(wǎng)關(guān)設(shè)備、無線接收設(shè)備以及無線路由組成，實(shí)現(xiàn)生產(chǎn)數(shù)據(jù)的實(shí)時(shí)調(diào)度以及接單派單。Itconsistsofacollectiongatewaydevice,awirelessreceivingdevice,andawirelessroutertorealizereal-timeschedulingofproductiondataandreceivinganddispatchingorders.03實(shí)時(shí)反映企業(yè)運(yùn)行狀態(tài)，將采集的數(shù)據(jù)形象化、直觀化、具體化。Reflecttheoperatingstatusoftheenterpriseinrealtime,andvisualize,visualize,andconcretizethecollecteddata.紡紗MES系統(tǒng)SpinningMESSystem02生產(chǎn)監(jiān)控系統(tǒng)ProductionMonitoringSystem對(duì)機(jī)臺(tái)產(chǎn)量數(shù)據(jù)、機(jī)臺(tái)耗電數(shù)據(jù)、以及溫濕度狀態(tài)進(jìn)行統(tǒng)計(jì)監(jiān)控，實(shí)時(shí)統(tǒng)計(jì)品種時(shí)間和生產(chǎn)效率。Statisticalmonitoringofmachineoutputdata,machinepowerconsumptiondata,temperatureandhumiditystatus,real-timestatisticsofvarietyopeningtimeandproductionefficiency.實(shí)施成效/Implementation生產(chǎn)全過程管理Productionprocessmanagement獲得從交期預(yù)測(cè)、生產(chǎn)排程、排班管理、人員管理、設(shè)備管理、工藝管理、機(jī)物料管理、質(zhì)量管理等功能。Getfunctionssuchasdeliveryforecasting,productionscheduling,schedulingmanagement,personnelmanagement,equipmentmanagement,processmanagement,machinematerialmanagement,andqualitymanagement.標(biāo)準(zhǔn)化管理流程Standardizedmanagementprocess實(shí)行標(biāo)準(zhǔn)化生產(chǎn)管理，優(yōu)化生產(chǎn)效率，固化生產(chǎn)技術(shù)數(shù)據(jù)，簡(jiǎn)化對(duì)人的依賴性，并建立閉環(huán)的計(jì)劃、控制、追溯、反饋與調(diào)整機(jī)制。Implementstandardizedproductionmanagement,optimizeproductionefficiency,solidifyproductiontechnologydata,simplifydependenceonpeople,andestablishaclosed-loopplanning,control,traceability,feedbackandadjustmentmechanism.制造周期縮短Shortenedmanufacturingcycles縮短計(jì)劃與制造周期，產(chǎn)能上升20%，效率上升25%，成本下降18%；提高制造效率和質(zhì)量，節(jié)省物料進(jìn)產(chǎn)線時(shí)間，減少在制品滯留數(shù)量。Shortenplanningandmanufacturingcycle,increaseproductioncapacityby20%,efficiencyby25%,andreducecostby18%;Improvemanufacturingefficiencyandquality,savetimeformaterialstoentertheproductionline,andreducenumberofwork-in-processhold-in-progress.結(jié)合案例，分析COSMOPlat平臺(tái)是如何幫助不同行業(yè)的企業(yè)解決問題并實(shí)現(xiàn)轉(zhuǎn)型升級(jí)的？具體說明每個(gè)案例中企業(yè)面臨的問題、COSMOPlat平臺(tái)提供的解決方案以及取得的成效。思考Basedonthecases,analyzehowtheCOSMOPlathelpsenterprisesindifferentindustriessolveproblemsandachievetransformationandupgrading?Specificallyexplaintheproblemsfacedbyenterprisesineachcase,thesolutionsprovidedbytheCOSMOPlat,andtheachievedresults.工業(yè)互聯(lián)網(wǎng)行業(yè)應(yīng)用工業(yè)互聯(lián)網(wǎng)基礎(chǔ)（雙語）ApplicationsofIndustrialInternet——4.Cloudiip平臺(tái)應(yīng)用ApplicationsofCloudiip東方國信工業(yè)互聯(lián)網(wǎng)平臺(tái)/Cloudiip目標(biāo)：賦能各行業(yè)，構(gòu)建一個(gè)由設(shè)計(jì)、研發(fā)、生產(chǎn)、運(yùn)維、服務(wù)、供應(yīng)各環(huán)節(jié)組成的閉環(huán)生態(tài)圈。Goal:Empowervariousindustriesandbuildaclosed-loopecosystemcomposedofthelinksofdesign,researchanddevelopment,production,operationandmaintenance,service,andsupply.應(yīng)用場(chǎng)景：結(jié)合大數(shù)據(jù)核心實(shí)力與工業(yè)實(shí)踐經(jīng)驗(yàn)積累，應(yīng)用于生產(chǎn)過程優(yōu)化、企業(yè)管理與決策優(yōu)化、產(chǎn)品全生命周期優(yōu)化、企業(yè)間協(xié)同制造、業(yè)務(wù)模式創(chuàng)新多個(gè)場(chǎng)景。ApplicationScenarios:Combiningthecorestrengthofbigdatawiththeaccumulationofindustrialpracticalexperience,itisappliedinmultiplescenariossuchasproductionprocessoptimization,enterprisemanagementanddecision-makingoptimization,productlifecycleoptimization,collaborativemanufacturingbetweenenterprises,andbusinessmodelinnovation.應(yīng)用成效Implementation解決“信息孤島”問題，實(shí)現(xiàn)一體化管控。Solvetheproblemof"informationislands"andrealizeintegratedcontrol.提高勞動(dòng)生產(chǎn)率，降低冶煉成本，實(shí)現(xiàn)科學(xué)、精細(xì)、經(jīng)濟(jì)煉鐵。Improvelaborproductivity,reducesmeltingcosts,andachievescientific,refined,andeconomicalironmaking.Cloudiip

平臺(tái)行業(yè)復(fù)用，為多座高爐提供服務(wù)，實(shí)現(xiàn)多個(gè)目標(biāo)。TheCloudiipplatformisreusedintheindustry,providingservicesformultipleblastfurnacesandachievingmultiplegoals.解決方案Solutions依托Cloudiip

平臺(tái)，整合原料、設(shè)備等各類數(shù)據(jù)。RelyingontheCloudiipplatformtointegratevarioustypesofdatasuchasrawmaterialsandequipment.結(jié)合生產(chǎn)工藝進(jìn)行數(shù)據(jù)治理和分析。Conductdatagovernanceandanalysisincombinationwiththeproductionprocess.形成實(shí)時(shí)監(jiān)測(cè)、智能預(yù)警等生產(chǎn)過程業(yè)務(wù)。Formproductionprocessservicessuchasreal-timemonitoringandintelligentearlywarning.存在問題Problems問題：煉鐵系統(tǒng)各單元存在“信息孤島”，無法整體優(yōu)化分析。Problem:Thereare"informationislands"ineachunitoftheironmakingsystem,andoveralloptimizationanalysisisimpossible.需求：實(shí)現(xiàn)工序聯(lián)動(dòng)，打破“信息孤島”。Demand:Realizeprocesslinkageandbreakthe"informationislands".應(yīng)用成效Implementation實(shí)現(xiàn)重要設(shè)備故障早期預(yù)警和數(shù)據(jù)分析。Realizetheearlywarninganddataanalysisofimportantequipmentfaults.實(shí)現(xiàn)預(yù)警關(guān)聯(lián)分析，減少異常分析工作量。Realizethewarningcorrelationanalysisandreducetheworkloadofabnormalanalysis.實(shí)現(xiàn)設(shè)備健康狀態(tài)評(píng)估，支持檢修決策。Realizetheevaluationoftheequipmenthealthstatusandsupportthemaintenancedecision.解決方案Solutions基于Cloudiip

平臺(tái)，采用大數(shù)據(jù)、AI和知識(shí)圖譜等技術(shù)。BasedontheCloudiipplatform,usetechnologiessuchasbigdata,AI,andknowledgegraphs.實(shí)現(xiàn)電力設(shè)備全狀態(tài)監(jiān)測(cè)和分析功能。Realizethefull-statemonitoringandanalysisfunctionsofpowerequipment.主要功能模塊包括綜合展示、設(shè)備狀態(tài)監(jiān)測(cè)等。Themainfunctionalmodulesincludecomprehensivedisplay,equipmentstatusmonitoring.案例背景Backgrounds火力發(fā)電技術(shù)起步早，行業(yè)成熟，但故障預(yù)警處理存在問題。Thermalpowerstartedearly,theindustryismature,butproblemsexistinfaultwarningandhandling.問題包括設(shè)備故障預(yù)警不及時(shí)、不準(zhǔn)確，人力成本高，檢修決策無數(shù)據(jù)支持等。Theproblemsincludeuntimelyandinaccurateequipmentfaultwarning,highlaborcosts,andnodatasupportformaintenancedecisions.火電企業(yè)期望實(shí)現(xiàn)信息化管理，提高競(jìng)爭(zhēng)力。Thermalpowerenterprisesexpecttoachieveinformationmanagementandimprovecompetitiveness.應(yīng)用成效Implementation基于工業(yè)大數(shù)據(jù)平臺(tái)架構(gòu)，分析和展示生產(chǎn)數(shù)據(jù)。Basedontheindustrialbigdataplatformarchitecture,analyzeanddisplayproductiondata.實(shí)時(shí)監(jiān)控風(fēng)力發(fā)電設(shè)備運(yùn)行狀態(tài)和經(jīng)濟(jì)性能。Monitortheoperatingstatusandeconomicperformanceofwindpowergenerationequipmentinrealtime.提高發(fā)電能源利用率。Improvetheutilizationrateofpowergenerationenergy.解決方案Solutions依托Cloudiip

平臺(tái)，構(gòu)建風(fēng)電場(chǎng)、光伏大數(shù)據(jù)分析云平臺(tái)。RelyingontheCloudiipplatform,abigdataanalysiscloudplatformforwindfarmsandphotovoltaicisconstructed.統(tǒng)一接入機(jī)組設(shè)備、天氣等數(shù)據(jù)，進(jìn)行大數(shù)據(jù)存儲(chǔ)、分析、計(jì)算。Uniformlyaccessdatasuchasunitequipmentandweatherforbigdatastorage,analysis,andcalculation.輸出監(jiān)控、報(bào)警等信息。Outputinformationsuchasmonitoringandalarms.案例背景Backgrounds電網(wǎng)對(duì)風(fēng)電并網(wǎng)性能要求嚴(yán)格，需從“被動(dòng)管理”轉(zhuǎn)向“主動(dòng)管理”。Thepowergridhasstrictperformancerequirementsofwindpower,itneedstoshiftfrompassivetoactivemanagement.運(yùn)維數(shù)據(jù)形成孤島，分析效率低，需求挖掘不足。Theoperationandmaintenancedataformisolatedislands,withlowanalysisefficiencyandinsufficientdemandmining.發(fā)電企業(yè)希望搭建相關(guān)模塊，獲取運(yùn)行狀態(tài)信息。Thepowergenerationenterprisehopestobuildrelevantmodulestoobtainoperatingstatusinformation.Cloudiip平臺(tái)在冶金、火電、風(fēng)電等行業(yè)的應(yīng)用中，分別解決了哪些主要問題？這些應(yīng)用案例對(duì)其他行業(yè)的數(shù)字化轉(zhuǎn)型有哪些啟示？思考IntheapplicationsofCloudiipplatforminthemetallurgical,thermalpower,windpower,andotherindustries,whatmajorproblemshavebeensolvedrespectively?Whatinspirationsdotheseapplicationcasesbringtothedigitaltransformationofotherindustries?工業(yè)互聯(lián)網(wǎng)行業(yè)應(yīng)用工業(yè)互聯(lián)網(wǎng)基礎(chǔ)（雙語）ApplicationsofIndustrialInternet——5.ROOTCLOUD平臺(tái)應(yīng)用(上)ApplicationsofROOTCLOUD(Part1)01創(chuàng)立與發(fā)展由梁穩(wěn)根等人于1994年創(chuàng)立，通過打破國人傳統(tǒng)的“技術(shù)恐懼癥”、堅(jiān)持自主創(chuàng)新而迅速崛起02產(chǎn)品線包括混凝土機(jī)械、挖掘機(jī)械、起重機(jī)械等，其中，混凝土機(jī)械設(shè)備目前為全球第一03領(lǐng)先地位是全球領(lǐng)先的工程機(jī)械制造商，也是全球最大的混凝土機(jī)械制造商Foundedin1994byLiangWengenandothers,ithasrisenrapidlybybreakingthetraditional"technophobia"ofChinesepeopleandinsistingonindependentinnovation.Includingconcretemachinery,excavationmachinery,liftingmachinery,etc.,amongthem,concretemachineryandequipmentiscurrentlytheworld'sfirst.Itistheworld'sleadingconstructionmachinerymanufacturerandtheworld'slargestconcretemachinerymanufacturer.Creation&DevelopmentProductLineLeadingPosition燈塔工廠/LighthouseFactory“燈塔工廠”被譽(yù)為“世界上最先進(jìn)的工廠”，代表當(dāng)今全球制造業(yè)領(lǐng)域智能制造和數(shù)字化的最高水平。Knownasthe"world'smostadvancedfactory",the"LighthouseFactory"representsthehighestlevelofintelligentmanufacturinganddigitalizationintheglobalmanufacturingsectortoday.三一樁機(jī)工廠/SANYPileMachineFactory三一重工以“燈塔工廠”建設(shè)為核心，以數(shù)據(jù)采集與應(yīng)用、工業(yè)軟件建設(shè)與應(yīng)用、流程四化為抓手，實(shí)現(xiàn)管控精細(xì)化、決策數(shù)據(jù)化、應(yīng)用場(chǎng)景化。運(yùn)用智能檢測(cè)和大數(shù)據(jù)分析等技術(shù)，實(shí)現(xiàn)質(zhì)量檢測(cè)過程中的數(shù)字化、在線化。SANYHeavyIndustrytakestheconstructionof"lighthousefactory"asthecore,andtakesdatacollectionandapplication,asthestartingpointtorealizetherefinementofmanagementandcontrol,thedataizationofdecision-making,andtheapplicationofscenarios.Usingtechnologiessuchasintelligentdetectionandbigdataanalysis,thedigitalizationandonlinequalityinspectionprocessisrealized.由樹根互聯(lián)打造的“根云平臺(tái)”成為撬動(dòng)質(zhì)量變革、效率變革和動(dòng)力變革的支點(diǎn)。依托由樹根互聯(lián)打造的“根云平臺(tái)”，實(shí)現(xiàn)生產(chǎn)制造要素全連接，整個(gè)工廠已成為深度融合互聯(lián)網(wǎng)、大數(shù)據(jù)和人工智能的“智慧體”。The"RootCloudPlatform"builtbyTreeRootInternethasbecomethefulcrumforleveragingquality,efficiencyandpowerchanges.Relyingonthe"rootcloudplatform"builtbyTreeRootInterconnection,theproductionandmanufacturingelementsarefullyconnected,andtheentirefactoryhasbecomean"intelligentbody"thatdeeplyintegratestheInternet,bigdataandartificialintelligence.在精準(zhǔn)授時(shí)、低時(shí)延的5G無線工業(yè)專網(wǎng)的保證下，行業(yè)首創(chuàng)重載AGV“雙車夢(mèng)幻聯(lián)動(dòng)”，實(shí)現(xiàn)27m超長、超重物料的同步搬運(yùn)和自動(dòng)上下料。雙AGV聯(lián)動(dòng)重載物流DualAGVLinkageHeavy-dutyLogistics工廠里36000多個(gè)數(shù)據(jù)點(diǎn)不斷采集數(shù)據(jù)，在大屏幕上實(shí)時(shí)顯示，并結(jié)合AI分析與大數(shù)據(jù)建模，為每道工序、每個(gè)機(jī)型甚至每把刀具等匹配最優(yōu)參數(shù)，算出設(shè)備作業(yè)效率最優(yōu)解。根云平臺(tái)ROOTCLOUDPlatformUndertheguaranteeofaccuratetimingandlowlatency5Gwirelessindustrialprivatenetwork,theindustry'sfirstheavy-dutyAGV"two-vehicledreamlinkage"realizessynchronoushandlingandautomaticloadingandunloadingof27multra-longandoverweightmaterials.Morethan36,000datapointsinthefactorycontinuouslycollectdata,displaytheminrealtimeonthebigscreen,andcombineAIanalysisandbigdatamodelingtomatchtheoptimalparametersforeachprocess,eachmodelandeveneachtool,andcalculatetheoptimalsolutionforequipmentoperationefficiency.隨著以樹根互聯(lián)“根云平臺(tái)”為代表的新型信息基礎(chǔ)設(shè)施的廣泛部署，工業(yè)互聯(lián)網(wǎng)逐漸成為新一輪工業(yè)革命下強(qiáng)大的新質(zhì)生產(chǎn)力。在未來，以樹根互聯(lián)“根云平臺(tái)”為數(shù)字化轉(zhuǎn)型新基座的“燈塔工廠”將作為成功范本，為更多產(chǎn)業(yè)鏈伙伴、行業(yè)乃至整個(gè)“中國智造”開路引航，照亮數(shù)字新航道。Withthewidespreaddeploymentofthenewinformationinfrastructurerepresentedbythe"rootcloudplatform"oftreerootinterconnection,theindustrialInternethasgraduallybecomeapowerfulnewqualityproductivityunderthenewroundofindustrialrevolution.Inthefuture,the"LighthouseFactory"withthe"RootCloudPlatform"ofTreeRootInternetasthenewbasefordigitaltransformationwillserveasasuccessfulmodeltoopenthewayformoreindustrychainpartners,industriesandeventheentire"MadeinChina"toilluminateanewdigitalchannel.根云平臺(tái)是如何助力三一樁機(jī)工廠實(shí)現(xiàn)質(zhì)量變革、效率變革和動(dòng)力變革的？在實(shí)際應(yīng)用中，根云平臺(tái)具體采取了哪些措施來優(yōu)化生產(chǎn)流程和提高生產(chǎn)效率？思考HowtheROOTCLOUDplatformhelpsSANYPilingMachineryFactoryachievequalitytransformation,efficiencytransformation,andpowertransformation?Inpracticalapplications,whatspecificmeasuresdoestheROOTCLOUDplatformtaketooptimizetheproductionprocessandimproveproductionefficiency?工業(yè)互聯(lián)網(wǎng)行業(yè)應(yīng)用工業(yè)互聯(lián)網(wǎng)基礎(chǔ)（雙語）ApplicationsofIndustrialInternet——6.ROOTCLOUD平臺(tái)應(yīng)用(下)ApplicationsofROOTCLOUD(Part2)根云平臺(tái)/ROOTCLOUDPlatform結(jié)合行業(yè)痛點(diǎn)、設(shè)計(jì)打造了一站式工業(yè)互聯(lián)網(wǎng)“操作系統(tǒng)”。Combinedwiththepainpointsoftheindustry,thedesignhascreatedaone-stopindustrialInternet"operatingsystem".利用行業(yè)應(yīng)用累計(jì)優(yōu)勢(shì)，將可復(fù)用的API、業(yè)務(wù)模塊以及行業(yè)應(yīng)用進(jìn)行重構(gòu)和封裝，通過平臺(tái)以服務(wù)的方式提供給客戶，客戶可以用“搭積木”的方式，在平臺(tái)上快速生成貼合自身業(yè)務(wù)需求的應(yīng)用。Takingadvantageofthecumulativeadvantagesofindustryapplications,reusableAPIs,businessmodulesandindustryapplicationsarereconstructedandencapsulated,andprovidedtocustomersintheformofservicesthroughtheplatform,sothatcustomerscanquicklygenerateapplicationsthatmeettheirbusinessneedsontheplatforminthewayof"buildingblocks".應(yīng)用成效Implementation實(shí)現(xiàn)了實(shí)現(xiàn)工藝診斷，在異常情況發(fā)生時(shí)，快速定位問題成因、快速恢復(fù)故障。Itrealizesprocessdiagnosis,quicklylocatesthecauseoftheproblemandquicklyrecoversthefaultwhenanabnormalsituationoccurs.解決了生產(chǎn)過程中出現(xiàn)的問題并及時(shí)排故。Solveproductionprocessproblemsandtroubleshootthemintime.實(shí)現(xiàn)了專家知識(shí)的統(tǒng)一轉(zhuǎn)化和存儲(chǔ)，改變逐層反饋的機(jī)制，提升了問題解決能力。Itrealizestheunifiedtransformationandstorageofexpertknowledge,changestheprocessoflayer-by-layerfeedback,andimprovesproblem-solvingability.解決方案Solutions搭建基于知識(shí)圖譜技術(shù)的工藝診斷專家系統(tǒng)。Buildaprocessdiagnosisexpertsystembasedonknowledgegraphtechnology.實(shí)現(xiàn)工藝診斷的需求，掌握靜態(tài)和動(dòng)態(tài)數(shù)據(jù)，故障診斷知識(shí)庫支撐。Realizetheneedsofprocessdiagnosis,masterstaticanddynamicdata,andsupportthefaultdiagnosisknowledgebase.利用知識(shí)圖譜技術(shù)沉淀專家“知識(shí)”，進(jìn)行問題排故。Precipitateexpert"knowledge"andtroubleshootproblemswithknowledgegraphtechnology.案例背景Backgrounds汽車制造行業(yè)自動(dòng)化程度高，新技術(shù)應(yīng)用廣泛。Theautomobilemanufacturingindustryhasahighdegreeofautomationandawiderangeofnewtechnologies.智能化設(shè)備帶來效率提升和維護(hù)難度升級(jí)。Intelligentequipmentbringsefficiencyimprovementandmaintenancedifficultyupgrade.快速準(zhǔn)確定位汽車生產(chǎn)系統(tǒng)問題原因的重要性。Theimportanceofquicklypinpointingthecauseofproblemsinautomotiveproductionsystems.應(yīng)用成效Implementation平臺(tái)已累計(jì)接入起重設(shè)備上千臺(tái)套，覆蓋國內(nèi)29個(gè)省級(jí)行政區(qū)域，用戶涉及機(jī)械機(jī)電、石油化工等13個(gè)行業(yè)。Theplatformhasaccumulatedaccesstothousandsofsetsofliftingequipment,covering29provincial-leveladministrativeregionsinChina,andusersinvolve13industriessuchasmachinery,electromechanical,andpetrochemical.解決方案Solutions搭建起重物流裝備行業(yè)工業(yè)互聯(lián)網(wǎng)平臺(tái)。BuildanindustrialInternetplatformfortheliftingequipmentindustry.實(shí)現(xiàn)設(shè)備運(yùn)行狀態(tài)實(shí)時(shí)監(jiān)控和直觀展示。Real-timemonitoringandintuitivedisplayoftherunningstatusofequipm