《工业互联网基础（双语）》课件-01工业互联网行业应用

工业互联网行业应用工业互联网基础（双语）ApplicationsofIndustrialInternet——1.INDICS平台应用ApplicationsofINDICS通过构建服务体系实现资源连接与配置Resourceconnectionandconfigurationarerealizedbybuildingaservicesystem02面向制造业新需求Facingthenewneedsofmanufacturingindustry01支撑制造资源泛在连接、弹性供给、高效配置Supportubiquitousconnection,flexiblesupply,andefficientallocationofmanufacturingresources0301通过技术实现全面数据互联Enablingcomprehensivedataconnectivitythroughtechnology02提供不同层次的服务Providedifferentlevelsofservice（IaaS、DaaS、PaaS、SaaS）

通过工业互联网平台实现生产过程的数字化、智能化公司专注于有色金属和化工产品的生产与销售，追求业务的数字化转型。Thecompanyfocusesontheproductionandsalesofnon-ferrousmetalsandchemicalproducts,andpursuesthedigitaltransformationofthebusiness.ThedigitizationandintellectualizationoftheproductionprocessarerealizedthroughtheindustrialInternetplatform.公司已建立基础的信息化管理系统，但面临进一步数字化的需求。需要构建一个更高效、集成的智能化生产运行管控平台。原有系统基础与需求/BasisandRequirementsofOriginalSystemThecompanyhasestablishedabasicinformationmanagementsystem,butisfacingthedemandforfurtherdigitalization.Itisnecessarytobuildamoreefficientandintegratedintelligentproductionoperationcontrolandmanagementplatform.建设了基于IaaS部署、PaaS平台支撑和SaaS应用的智能化生产运行管控平台。实现了微服务架构的迁移，提高了系统的可扩展性和灵活性。满足了企业对垂直管理、实时监控、穿透查询的应用要求。IndPl@t平台系统/IndPl@tSystemAnintelligentproductionoperationcontrolandmanagementplatformbasedonIaaSdeployment,PaaSplatformsupportandSaaSapplicationshasbeenconstructed.Themigrationofthemicroservicearchitecturehasbeenachieved,improvingthescalabilityandflexibilityofthesystem.Theapplicationrequirementsofenterprisesforverticalmanagement,real-timemonitoringandpenetratingqueryhavebeenmet.通过平台实施，解决了信息孤岛问题，加强了部门间的协作。Throughtheimplementationoftheplatform,theproblemofinformationislandshasbeensolvedandthecollaborationbetweendepartmentshasbeenstrengthened.01实时、准确的数据分析，加强了对车间运营状况的监控。Real-timeandaccuratedataanalysishasenhancedthemonitoringoftheworkshopoperationstatus.02提升了生产效率，增强了企业的市场竞争力和国际影响力。Theproductionefficiencyhasbeenimproved,andthemarketcompetitivenessandinternationalinfluenceoftheenterprisehavebeenenhanced.03实施成效/Implementation某船舶公司致力于成为”国内领先、世界一流“的创新型海洋装备集团。Acertainshippingcompanyiscommittedtobecomingan"innovativemarineequipmentgroupthatisdomesticallyleadingandworld-class".通过工业互联网平台，支持公司战略目标的实现。Itsupportstherealizationofthecompany'sstrategicgoalsthroughtheindustrialInternetplatform.面对产业结构调整和转型发展，公司需要构建一个全产业链的云应用集群。Facingindustrialstructureadjustmentandtransformationdevelopment,thecompanyneedstobuildacloudapplicationclusterfortheentireindustrialchain.“船舶云”平台将整合资源，推动产业链的协同创新。The"ShipCloud"platformwillintegrateresourcesandpromotecollaborativeinnovationintheindustrialchain.“船舶云”平台/"ShipCloud"Platform0102系统构成/Systemcomposition01利用INDICS平台，搭建了IaaS和PaaS平台，实现了设备的智能化监控。ByleveragingtheINDICSplatform,theIaaSandPaaSplatformshavebeensetup,achievingintelligentmonitoringofequipment.02通过数字孪生技术和能耗数据分析，优化了设备维护和能源使用效率。Throughdigitaltwintechnologyandenergyconsumptiondataanalysis,theequipmentmaintenanceandenergyusageefficiencyhavebeenoptimized.03基于现场能耗数据的采集与分析，对产线能效使用进行合理规划，提高能源使用效率。Basedonthecollectionandanalysisofon-siteenergyconsumptiondata,areasonableplanfortheenergyefficiencyusageoftheproductionlinehasbeenmadetoimprovetheenergyusageefficiency.实施成效/Implementation设备利用率EquipmentUtilization设备利用率提升了10%10%部署成本DeploymentCost实施效果显著，系统上线时间和部署成本均减少了15%15%电力消耗ElectricityCost电力消耗和二氧化碳排放下降15%15%计划外停机Unplanneddowntime计划外故障停机减少10%，生产效率大幅提升10%Theimplementationeffectisremarkable.Thesystemonlinetimeanddeploymentcosthavebothdecreasedby15%.Theequipmentutilizationratehasincreasedby10%.Electricityconsumptionandcarbondioxideemissionshavedecreasedby15%.Unplanneddowntimeduetofaultshasreducedby10%,andtheproductionefficiencyhassignificantlyimproved.结合文章中的案例，分析INDICS平台在赋能企业实现智能化生产运行管控方面的具体作用和优势有哪些？并举例说明。思考Basedonthecasesinthearticle,analyzewhatarethespecificrolesandadvantagesoftheINDICSplatforminenablingenterprisestoachieveintelligentproductionoperationcontrolandmanagement?Andgiveexamplestoillustrate.工业互联网行业应用工业互联网基础（双语）ApplicationsofIndustrialInternet——2.Xrea平台应用ApplicationsofXrea数据可视化与APP快速开发RapiddatavisualizationandAPPdevelopment通过数据可视化技术，直观展示工业数据，辅助企业做出更明智的决策。Throughdatavisualizationtechnology,industrialdatacanbevisualizedtohelpenterprisesmakemoreinformeddecisions.工业机理模型与应用开发Industrialmechanismmodelsandapplicationdevelopment平台提供工业机理模型，帮助企业深入理解工业过程，优化生产流程。Theplatformprovidesindustrialmechanismmodelstohelpenterprisesdeeplyunderstandindustrialprocessesandoptimizeproductionprocesses.设备连接与数据采集DeviceconnectionanddataacquisitionXrea平台通过强大的设备连接与数据采集能力，实现工业数据的实时汇聚与管理。TheXreaplatformrealizesreal-timeaggregationandmanagementofindustrialdatathroughpowerfulequipmentconnectionanddatacollectioncapabilities.汉云平台/XreaPlatform汉云平台，又称Xrea平台。汉云平台为企业提供工业互联网“端-云-用”一体化数字化能力。Cloudplatform,alsoknownasXreaplatform.TheHanyunplatformprovidesenterpriseswiththeintegrateddigitalcapabilityof"end-cloud-use"oftheindustrialInternet.专用车辆运营成本不透明，无法获取设备油耗、保养与维修记录Theoperatingcostsofspecialvehiclesarenottransparent,andthereisnoaccesstoequipmentfuelconsumption,maintenanceandrepairrecords.项目众多、设备分散在国内外各地，无法准确统计设备工作效率及利用率Therearemanyprojectsandequipmentscatteredathomeandabroad,soitisimpossibletoaccuratelycounttheefficiencyandutilizationrateofequipment.设备作业事故频发，无法实时监测设备故障情况，不能及时采取解决措施Equipmentoperationaccidentsoccurfrequently,anditisimpossibletomonitorequipmentfailuresinrealtime,andsolutionscannotbetakenintime.存在的问题/ExistingProblems利用Xrea平台实现设备运行状态的实时监控，及时预警设备安全问题。TheXreaplatformisusedtorealizereal-timemonitoringofequipmentoperationstatusandtimelywarningofequipmentsafetyproblems.实时设备监控与安全预警Real-timeequipmentmonitoringandsafetywarning通过数据分析，科学调度设备使用，提高设备利用率，减少租赁成本。Throughdataanalysis,theuseofequipmentisscientificallyscheduled,theutilizationrateofequipmentisimproved,andtheleasingcostisreduced.设备利用率提升Increasedequipmentutilization车辆设备管控平台/VehicleManagementandControlPlatform通过记录维保内容和备件使用，优化设备维护流程，降低运营成本。Byrecordingthemaintenancecontentandtheuseofspareparts,theequipmentmaintenanceprocessisoptimizedandtheoperatingcostisreduced.设备维保与成本控制Equipmentmaintenanceandcostcontrol实施成效/Implementation安全预警Safetywarnings实现了实时设备安全预警，降低设备作业事故3%3%Real-timeequipmentsafetyearlywarninghasbeenrealized,reducingequipmentoperationaccidentsby3%准确核算Accurateaccounting进行了准确的设备核算，提前备货、油耗监管，有效降低运营成本7%7%Accurateequipmentaccounting,advancestocking,fuelconsumptionsupervision,effectivelyreduceoperatingcostsby7%设备利用率EquipmentUtilization降低了设备租赁成本，设备利用率提高了5%5%Reducedequipmentrentalcostsandincreasedequipmentutilizationby5%存在的问题/ExistingProblems01运输途中存在安全隐患提供实时监控车辆运行状态管控与服务平台，实时报警确保车辆及货物的在途安全。Providereal-timemonitoringofvehicleoperationstatuscontrolandserviceplatform,real-timealarmtoensurethesafetyofvehiclesandgoodsintransit.02无法实时获取车辆位置结合驾驶行为算法模型，改善驾驶员的驾驶行为。Combinedwiththedrivingbehavioralgorithmmodel,thedrivingbehaviorofthedriverisimproved.03作业调度不合理实时获取车辆作业状态，在线设置作业任务，并根据历史作业记录对车辆作业路线进行优化。Obtainthevehicleoperationstatusinrealtime,settheoperationtaskonline,andoptimizethevehicleoperationrouteaccordingtothehistoricaloperationrecord.PotentialsafetyhazardsintransitCannotgetthelocationofvehicleUnreasonablejobscheduling实施成效/Implementation24%基于服务网点分布，实现售后服务的精准响应，提高客户满意度。Basedonthedistributionofserviceoutlets,accurateresponsetoafter-salesserviceisrealizedandcustomersatisfactionisimproved.客户满意度提升Increasedcustomersatisfaction70%通过平台减少采购业务人员沟通成本，提高工作效率。Throughtheplatform,thecommunicationcostsofprocurementbusinesspersonnelarereducedandworkefficiencyisimproved.沟通成本与工作量降低Communicationcostandworkloadreduction37%通过合理规划，降低物流运输成本，提升运输效率与运力。Throughreasonableplanning,reducelogisticsandtransportationcosts,andimprovetransportationefficiencyandcapacity.运输成本与效率优化Transportationcostandefficiencyoptimization020301生产服务人员未能使用信息化软件管理，且未建立精细化管理流程Theproductionandservicepersonnelfailedtouseinformationsoftwareformanagement,anddidnotestablisharefinedmanagementprocess.港口设备满负荷运转，故障记录无法快速定位Theportequipmentisrunningatfullcapacity,andfaultrecordscannotbequicklylocated.港口设备类型众多，无法进行高效管理Therearemanytypesofportequipmentthatcannotbemanagedefficiently.存在的问题/ExistingProblems港口智能设备管理平台/PortIntelligentEquipmentManagementPlatform通过建立设备信息台账，实现对设备的高效管理。Throughtheestablishmentofequipmentinformationledger,theefficientmanagementofequipmentisrealized.设备信息台账与高效管理Equipmentinformationledgerandefficientmanagement通过多终端协同，提高港口信息化管理水平。Throughmulti-terminalcollaboration,thelevelofportinformationmanagementisimproved.信息化管理水平提升Improvementoftheinformationmanagementlevel通过数据分析，提升设备资产利用效率，降低设备故障维修周期。Throughdataanalysis,improvetheutilizationefficiencyofequipmentassetsandreducethemaintenancecycleofequipmentfailures.设备资产利用效率与维护效率提升Improvementofassetutilizationandmaintenanceefficiency设备资产利用效率提升

25%Equipmentassetutilizationefficiencyincreasedby25%提升运营人员工作效率

20%Workefficiencyofoperatorsimproved20%减少设备故障修复时间

30%EquipmentfailurerepairtimeReducedby30%实施成效/Implementation结合文章中的案例，分析Xrea平台在解决企业设备管理和运营问题方面采取了哪些具体措施？这些措施分别带来了哪些成效？思考Basedonthecasesinthearticle,analyzewhatspecificmeasurestheXreaplatformhastakentosolvetheproblemsofenterpriseequipmentmanagementandoperation?Whateffectshavethesemeasuresbroughtrespectively?工业互联网行业应用工业互联网基础（双语）ApplicationsofIndustrialInternet——3.COSMOPlat平台应用ApplicationsofCOSMOPlat卡奥斯平台/COSMOPlatCOSMOPlat平台将用户需求和整个智能制造体系连接起来，让用户可以全流程参与产品设计研发、生产制造、物流配送、迭代升级等环节，为企业提供互联工厂建设、大规模定制、大数据增值、供应链金融、协同制造、知识共享、检测与认证、设备智能维保等服务，具有跨领域、跨行业复制的能力。TheCOSMOPlatplatformconnectsuserneedswiththeentireintelligentmanufacturingsystem,allowinguserstoparticipateinproductdesignanddevelopment,manufacturing,logisticsanddistribution,iterativeupgradingandotherlinksinthewholeprocess,providingenterpriseswithservicessuchasinterconnectedfactoryconstruction,masscustomization,bigdatavalue-added,supplychainfinance,collaborativemanufacturing,knowledgesharing,testingandcertification,andintelligentequipmentmaintenance,withtheabilitytoreplicateacrossfieldsandindustries.企业内部问题/InternalIssues生产管理效率低，仓储管理混乱，数据不清；Lowproductionefficiency,chaoticinwarehouse,anduncleardata;公司信息化系统过程无法有效控制及打通信息壁垒；TheprocessofITsystemisn’teffectivelycontrolledandbrokendatabarrier;车间效率低，产品品质不可控；Lowefficiencyofworkshop,anduncontrollableproductquality;无法完善管理体系流程及标准作业流程，生产效率低、质量差。Nomanagementsystemprocessandstandardoperatingprocedures,lowproductionefficiencyandpoorquality.行业现状/IndustryStatusQuo存在的问题/ExistingProblems同质化竞争、生产规模增长过快；Homogeneouscompetition,productionscalegrowthfast;库存过高、资金周转困难；Inventoryistoohighandcapitalturnoverisdifficult;消费需求个性化和多元化趋势。Trendsinpersonalizationanddiversificationofdemand.

服装定制管理平台/Clothingcustomizationmanagementplatform用户参与交互、虚拟设计等全过程，实现大规模定制。Usersparticipateinthewholeprocessofinteraction,virtualdesign,etc.,toachievemasscustomization.通过ERP、MES与OMS下单系统关联，实现数据实时化。ThroughtheassociationofERP,MESandOMSorderingsystem,real-timedataisrealized.按需生产，库存降低35%On-demandproduction,inventoryreductionby35%生产智能化，生产效率提高28%Intelligentproduction,productionefficiencyincreasedby28%定制产品毛利率提升26.5%Grossprofitmarginofcustomizedproductsincreasedby26.5%工厂快速响应，交期缩短38天Thefactoryrespondedquicklyandshortenedthedeliverytimeby38days满足用户个性化需求，实现大规模定制转型Meetthepersonalizedneedsofusersandrealizethetransformationofmasscustomization实施成效/Implementation增值分享Value-addedsharing企业体验升级Enterpriseexperienceupgrade人员、设备、材料、方法、环境、测量等因素对产品质量的影响。Theinfluenceofpersonnel,equipment,materials,methods,environment,measurementandotherfactorsonproductquality.确保生产过程稳定和可控，提高产品质量，降低运营成本。Ensurethattheproductionprocessisstableandcontrollable,improveproductquality,andreduceoperatingcosts.存在的问题/ExistingProblems生产过程影响因素多Manyfactorsinfluencingtheproductionprocess”制造中心级质量中心”“Manufacturingcenter-levelqualitycenter”SPC云平台/SPCCloudPlatform数据采集及SPC分析;实现产品质量的生产数据追溯。DataacquisitionandSPCanalysis;Realizethetraceabilityofproductiondataofproductquality.实现生产现场数据的实时监控和追溯;数据可视化，提升产品质量指标。Real-timemonitoringandtraceabilityofproductionsitedata;Datavisualizationtoimproveproductqualityindicators.0102SPC系统功能/SPCsystemfeatures企业效益/Businessbenefits存在的问题/ExistingProblems设备数字化程度高，但联网率低导致生产物料混乱，效率不稳定。提供纺纱物联系统、生产监控系统等，实现生产数据的实时调度。Theequipmenthasahighdegreeofdigitalization,butthelownetworkingrateleadstothechaosofproductionmaterialsandtheunstableefficiency.ProvidespinningIOTsystem,productionmonitoringsystem,etc.,toachievereal-timeschedulingofproductiondata.纺织生产云平台/TextileProductionCloudPlatform04纺纱工业APPSpinningIndustryAPP基于工业互联网数据采集，为纺织企业提供移动端APP，帮助企业实现数字化、智能化。BasedonthedatacollectionoftheindustrialInternet,itprovidesmobileAPPfortextileenterprisestohelpthemrealizedigitalizationandintelligence.01纺纱物联系统SpinningIoTSystem由采集网关设备、无线接收设备以及无线路由组成，实现生产数据的实时调度以及接单派单。Itconsistsofacollectiongatewaydevice,awirelessreceivingdevice,andawirelessroutertorealizereal-timeschedulingofproductiondataandreceivinganddispatchingorders.03实时反映企业运行状态，将采集的数据形象化、直观化、具体化。Reflecttheoperatingstatusoftheenterpriseinrealtime,andvisualize,visualize,andconcretizethecollecteddata.纺纱MES系统SpinningMESSystem02生产监控系统ProductionMonitoringSystem对机台产量数据、机台耗电数据、以及温湿度状态进行统计监控，实时统计品种时间和生产效率。Statisticalmonitoringofmachineoutputdata,machinepowerconsumptiondata,temperatureandhumiditystatus,real-timestatisticsofvarietyopeningtimeandproductionefficiency.实施成效/Implementation生产全过程管理Productionprocessmanagement获得从交期预测、生产排程、排班管理、人员管理、设备管理、工艺管理、机物料管理、质量管理等功能。Getfunctionssuchasdeliveryforecasting,productionscheduling,schedulingmanagement,personnelmanagement,equipmentmanagement,processmanagement,machinematerialmanagement,andqualitymanagement.标准化管理流程Standardizedmanagementprocess实行标准化生产管理，优化生产效率，固化生产技术数据，简化对人的依赖性，并建立闭环的计划、控制、追溯、反馈与调整机制。Implementstandardizedproductionmanagement,optimizeproductionefficiency,solidifyproductiontechnologydata,simplifydependenceonpeople,andestablishaclosed-loopplanning,control,traceability,feedbackandadjustmentmechanism.制造周期缩短Shortenedmanufacturingcycles缩短计划与制造周期，产能上升20%，效率上升25%，成本下降18%；提高制造效率和质量，节省物料进产线时间，减少在制品滞留数量。Shortenplanningandmanufacturingcycle,increaseproductioncapacityby20%,efficiencyby25%,andreducecostby18%;Improvemanufacturingefficiencyandquality,savetimeformaterialstoentertheproductionline,andreducenumberofwork-in-processhold-in-progress.结合案例，分析COSMOPlat平台是如何帮助不同行业的企业解决问题并实现转型升级的？具体说明每个案例中企业面临的问题、COSMOPlat平台提供的解决方案以及取得的成效。思考Basedonthecases,analyzehowtheCOSMOPlathelpsenterprisesindifferentindustriessolveproblemsandachievetransformationandupgrading?Specificallyexplaintheproblemsfacedbyenterprisesineachcase,thesolutionsprovidedbytheCOSMOPlat,andtheachievedresults.工业互联网行业应用工业互联网基础（双语）ApplicationsofIndustrialInternet——4.Cloudiip平台应用ApplicationsofCloudiip东方国信工业互联网平台/Cloudiip目标：赋能各行业，构建一个由设计、研发、生产、运维、服务、供应各环节组成的闭环生态圈。Goal:Empowervariousindustriesandbuildaclosed-loopecosystemcomposedofthelinksofdesign,researchanddevelopment,production,operationandmaintenance,service,andsupply.应用场景：结合大数据核心实力与工业实践经验积累，应用于生产过程优化、企业管理与决策优化、产品全生命周期优化、企业间协同制造、业务模式创新多个场景。ApplicationScenarios:Combiningthecorestrengthofbigdatawiththeaccumulationofindustrialpracticalexperience,itisappliedinmultiplescenariossuchasproductionprocessoptimization,enterprisemanagementanddecision-makingoptimization,productlifecycleoptimization,collaborativemanufacturingbetweenenterprises,andbusinessmodelinnovation.应用成效Implementation解决“信息孤岛”问题，实现一体化管控。Solvetheproblemof"informationislands"andrealizeintegratedcontrol.提高劳动生产率，降低冶炼成本，实现科学、精细、经济炼铁。Improvelaborproductivity,reducesmeltingcosts,andachievescientific,refined,andeconomicalironmaking.Cloudiip

平台行业复用，为多座高炉提供服务，实现多个目标。TheCloudiipplatformisreusedintheindustry,providingservicesformultipleblastfurnacesandachievingmultiplegoals.解决方案Solutions依托Cloudiip

平台，整合原料、设备等各类数据。RelyingontheCloudiipplatformtointegratevarioustypesofdatasuchasrawmaterialsandequipment.结合生产工艺进行数据治理和分析。Conductdatagovernanceandanalysisincombinationwiththeproductionprocess.形成实时监测、智能预警等生产过程业务。Formproductionprocessservicessuchasreal-timemonitoringandintelligentearlywarning.存在问题Problems问题：炼铁系统各单元存在“信息孤岛”，无法整体优化分析。Problem:Thereare"informationislands"ineachunitoftheironmakingsystem,andoveralloptimizationanalysisisimpossible.需求：实现工序联动，打破“信息孤岛”。Demand:Realizeprocesslinkageandbreakthe"informationislands".应用成效Implementation实现重要设备故障早期预警和数据分析。Realizetheearlywarninganddataanalysisofimportantequipmentfaults.实现预警关联分析，减少异常分析工作量。Realizethewarningcorrelationanalysisandreducetheworkloadofabnormalanalysis.实现设备健康状态评估，支持检修决策。Realizetheevaluationoftheequipmenthealthstatusandsupportthemaintenancedecision.解决方案Solutions基于Cloudiip

平台，采用大数据、AI和知识图谱等技术。BasedontheCloudiipplatform,usetechnologiessuchasbigdata,AI,andknowledgegraphs.实现电力设备全状态监测和分析功能。Realizethefull-statemonitoringandanalysisfunctionsofpowerequipment.主要功能模块包括综合展示、设备状态监测等。Themainfunctionalmodulesincludecomprehensivedisplay,equipmentstatusmonitoring.案例背景Backgrounds火力发电技术起步早，行业成熟，但故障预警处理存在问题。Thermalpowerstartedearly,theindustryismature,butproblemsexistinfaultwarningandhandling.问题包括设备故障预警不及时、不准确，人力成本高，检修决策无数据支持等。Theproblemsincludeuntimelyandinaccurateequipmentfaultwarning,highlaborcosts,andnodatasupportformaintenancedecisions.火电企业期望实现信息化管理，提高竞争力。Thermalpowerenterprisesexpecttoachieveinformationmanagementandimprovecompetitiveness.应用成效Implementation基于工业大数据平台架构，分析和展示生产数据。Basedontheindustrialbigdataplatformarchitecture,analyzeanddisplayproductiondata.实时监控风力发电设备运行状态和经济性能。Monitortheoperatingstatusandeconomicperformanceofwindpowergenerationequipmentinrealtime.提高发电能源利用率。Improvetheutilizationrateofpowergenerationenergy.解决方案Solutions依托Cloudiip

平台，构建风电场、光伏大数据分析云平台。RelyingontheCloudiipplatform,abigdataanalysiscloudplatformforwindfarmsandphotovoltaicisconstructed.统一接入机组设备、天气等数据，进行大数据存储、分析、计算。Uniformlyaccessdatasuchasunitequipmentandweatherforbigdatastorage,analysis,andcalculation.输出监控、报警等信息。Outputinformationsuchasmonitoringandalarms.案例背景Backgrounds电网对风电并网性能要求严格，需从“被动管理”转向“主动管理”。Thepowergridhasstrictperformancerequirementsofwindpower,itneedstoshiftfrompassivetoactivemanagement.运维数据形成孤岛，分析效率低，需求挖掘不足。Theoperationandmaintenancedataformisolatedislands,withlowanalysisefficiencyandinsufficientdemandmining.发电企业希望搭建相关模块，获取运行状态信息。Thepowergenerationenterprisehopestobuildrelevantmodulestoobtainoperatingstatusinformation.Cloudiip平台在冶金、火电、风电等行业的应用中，分别解决了哪些主要问题？这些应用案例对其他行业的数字化转型有哪些启示？思考IntheapplicationsofCloudiipplatforminthemetallurgical,thermalpower,windpower,andotherindustries,whatmajorproblemshavebeensolvedrespectively?Whatinspirationsdotheseapplicationcasesbringtothedigitaltransformationofotherindustries?工业互联网行业应用工业互联网基础（双语）ApplicationsofIndustrialInternet——5.ROOTCLOUD平台应用(上)ApplicationsofROOTCLOUD(Part1)01创立与发展由梁稳根等人于1994年创立，通过打破国人传统的“技术恐惧症”、坚持自主创新而迅速崛起02产品线包括混凝土机械、挖掘机械、起重机械等，其中，混凝土机械设备目前为全球第一03领先地位是全球领先的工程机械制造商，也是全球最大的混凝土机械制造商Foundedin1994byLiangWengenandothers,ithasrisenrapidlybybreakingthetraditional"technophobia"ofChinesepeopleandinsistingonindependentinnovation.Includingconcretemachinery,excavationmachinery,liftingmachinery,etc.,amongthem,concretemachineryandequipmentiscurrentlytheworld'sfirst.Itistheworld'sleadingconstructionmachinerymanufacturerandtheworld'slargestconcretemachinerymanufacturer.Creation&DevelopmentProductLineLeadingPosition灯塔工厂/LighthouseFactory“灯塔工厂”被誉为“世界上最先进的工厂”，代表当今全球制造业领域智能制造和数字化的最高水平。Knownasthe"world'smostadvancedfactory",the"LighthouseFactory"representsthehighestlevelofintelligentmanufacturinganddigitalizationintheglobalmanufacturingsectortoday.三一桩机工厂/SANYPileMachineFactory三一重工以“灯塔工厂”建设为核心，以数据采集与应用、工业软件建设与应用、流程四化为抓手，实现管控精细化、决策数据化、应用场景化。运用智能检测和大数据分析等技术，实现质量检测过程中的数字化、在线化。SANYHeavyIndustrytakestheconstructionof"lighthousefactory"asthecore,andtakesdatacollectionandapplication,asthestartingpointtorealizetherefinementofmanagementandcontrol,thedataizationofdecision-making,andtheapplicationofscenarios.Usingtechnologiessuchasintelligentdetectionandbigdataanalysis,thedigitalizationandonlinequalityinspectionprocessisrealized.由树根互联打造的“根云平台”成为撬动质量变革、效率变革和动力变革的支点。依托由树根互联打造的“根云平台”，实现生产制造要素全连接，整个工厂已成为深度融合互联网、大数据和人工智能的“智慧体”。The"RootCloudPlatform"builtbyTreeRootInternethasbecomethefulcrumforleveragingquality,efficiencyandpowerchanges.Relyingonthe"rootcloudplatform"builtbyTreeRootInterconnection,theproductionandmanufacturingelementsarefullyconnected,andtheentirefactoryhasbecomean"intelligentbody"thatdeeplyintegratestheInternet,bigdataandartificialintelligence.在精准授时、低时延的5G无线工业专网的保证下，行业首创重载AGV“双车梦幻联动”，实现27m超长、超重物料的同步搬运和自动上下料。双AGV联动重载物流DualAGVLinkageHeavy-dutyLogistics工厂里36000多个数据点不断采集数据，在大屏幕上实时显示，并结合AI分析与大数据建模，为每道工序、每个机型甚至每把刀具等匹配最优参数，算出设备作业效率最优解。根云平台ROOTCLOUDPlatformUndertheguaranteeofaccuratetimingandlowlatency5Gwirelessindustrialprivatenetwork,theindustry'sfirstheavy-dutyAGV"two-vehicledreamlinkage"realizessynchronoushandlingandautomaticloadingandunloadingof27multra-longandoverweightmaterials.Morethan36,000datapointsinthefactorycontinuouslycollectdata,displaytheminrealtimeonthebigscreen,andcombineAIanalysisandbigdatamodelingtomatchtheoptimalparametersforeachprocess,eachmodelandeveneachtool,andcalculatetheoptimalsolutionforequipmentoperationefficiency.随着以树根互联“根云平台”为代表的新型信息基础设施的广泛部署，工业互联网逐渐成为新一轮工业革命下强大的新质生产力。在未来，以树根互联“根云平台”为数字化转型新基座的“灯塔工厂”将作为成功范本，为更多产业链伙伴、行业乃至整个“中国智造”开路引航，照亮数字新航道。Withthewidespreaddeploymentofthenewinformationinfrastructurerepresentedbythe"rootcloudplatform"oftreerootinterconnection,theindustrialInternethasgraduallybecomeapowerfulnewqualityproductivityunderthenewroundofindustrialrevolution.Inthefuture,the"LighthouseFactory"withthe"RootCloudPlatform"ofTreeRootInternetasthenewbasefordigitaltransformationwillserveasasuccessfulmodeltoopenthewayformoreindustrychainpartners,industriesandeventheentire"MadeinChina"toilluminateanewdigitalchannel.根云平台是如何助力三一桩机工厂实现质量变革、效率变革和动力变革的？在实际应用中，根云平台具体采取了哪些措施来优化生产流程和提高生产效率？思考HowtheROOTCLOUDplatformhelpsSANYPilingMachineryFactoryachievequalitytransformation,efficiencytransformation,andpowertransformation?Inpracticalapplications,whatspecificmeasuresdoestheROOTCLOUDplatformtaketooptimizetheproductionprocessandimproveproductionefficiency?工业互联网行业应用工业互联网基础（双语）ApplicationsofIndustrialInternet——6.ROOTCLOUD平台应用(下)ApplicationsofROOTCLOUD(Part2)根云平台/ROOTCLOUDPlatform结合行业痛点、设计打造了一站式工业互联网“操作系统”。Combinedwiththepainpointsoftheindustry,thedesignhascreatedaone-stopindustrialInternet"operatingsystem".利用行业应用累计优势，将可复用的API、业务模块以及行业应用进行重构和封装，通过平台以服务的方式提供给客户，客户可以用“搭积木”的方式，在平台上快速生成贴合自身业务需求的应用。Takingadvantageofthecumulativeadvantagesofindustryapplications,reusableAPIs,businessmodulesandindustryapplicationsarereconstructedandencapsulated,andprovidedtocustomersintheformofservicesthroughtheplatform,sothatcustomerscanquicklygenerateapplicationsthatmeettheirbusinessneedsontheplatforminthewayof"buildingblocks".应用成效Implementation实现了实现工艺诊断，在异常情况发生时，快速定位问题成因、快速恢复故障。Itrealizesprocessdiagnosis,quicklylocatesthecauseoftheproblemandquicklyrecoversthefaultwhenanabnormalsituationoccurs.解决了生产过程中出现的问题并及时排故。Solveproductionprocessproblemsandtroubleshootthemintime.实现了专家知识的统一转化和存储，改变逐层反馈的机制，提升了问题解决能力。Itrealizestheunifiedtransformationandstorageofexpertknowledge,changestheprocessoflayer-by-layerfeedback,andimprovesproblem-solvingability.解决方案Solutions搭建基于知识图谱技术的工艺诊断专家系统。Buildaprocessdiagnosisexpertsystembasedonknowledgegraphtechnology.实现工艺诊断的需求，掌握静态和动态数据，故障诊断知识库支撑。Realizetheneedsofprocessdiagnosis,masterstaticanddynamicdata,andsupportthefaultdiagnosisknowledgebase.利用知识图谱技术沉淀专家“知识”，进行问题排故。Precipitateexpert"knowledge"andtroubleshootproblemswithknowledgegraphtechnology.案例背景Backgrounds汽车制造行业自动化程度高，新技术应用广泛。Theautomobilemanufacturingindustryhasahighdegreeofautomationandawiderangeofnewtechnologies.智能化设备带来效率提升和维护难度升级。Intelligentequipmentbringsefficiencyimprovementandmaintenancedifficultyupgrade.快速准确定位汽车生产系统问题原因的重要性。Theimportanceofquicklypinpointingthecauseofproblemsinautomotiveproductionsystems.应用成效Implementation平台已累计接入起重设备上千台套，覆盖国内29个省级行政区域，用户涉及机械机电、石油化工等13个行业。Theplatformhasaccumulatedaccesstothousandsofsetsofliftingequipment,covering29provincial-leveladministrativeregionsinChina,andusersinvolve13industriessuchasmachinery,electromechanical,andpetrochemical.解决方案Solutions搭建起重物流装备行业工业互联网平台。BuildanindustrialInternetplatformfortheliftingequipmentindustry.实现设备运行状态实时监控和直观展示。Real-timemonitoringandintuitivedisplayoftherunningstatusofequipm