Securities Code:430215

Digitaldrawings,modelingdowntotheequipmentcomponentlevel,dynamicsimulationofoperationprocessesandfaulttypes;Throughthefull-processsimulationguidanceofthree-dimensionaldisassemblyofequipment,anautomaticpromptengineforqualityinspectionpointsandhazardpointsisestablished,andprocesspackagesandfilecardsareautomaticallyexecuted.Self-developed3Dmodelingplatform,providingfull-processsimulationguidancefor3Ddisassemblyofequipment,automaticpromptsforqualityinspectionpointsanddangerouspoints,andfull-processprocesspackagesandfilecards.
Equipthemaintenancepowerboxwithasmartbrain,usingedgecomputingandAIrecognitiontechnologytoachievethegoalofintelligentpowerconsumptioncontrol:two-ticketsystem-maintenancepowersupply-QRcodeengine-QRcodeinformation,includingdistributionmap+powerboxaddresscode+timedimension+2Dcode;Thepowerboxisequippedwitha24vintelligentcontrolscreen+controlcircuit+protectioncircuit.Thepowerboxcontrolpanelchipincludesaddresscode+timedimensioninformationanalysis-automaticpowersupplyandpowercut-offlogic.Achieveamphibiousflexibledeployment:Usingmulti-functionalintelligentterminals,itcanbedeployedasasmallplatformwithoutanetwork,orusingPCterminalsasalargeplatformfornetworkcloudservices.Supportsmobileapplicationsandperfectlycombinespapertwo-ticketandsmarttwo-ticket:Theticketinformationcodecanbedirectlyattachedtotheworkticket,oraphotocanbetakenwithamobilephone,andthecodecanbescannedonthefieldforrecognitionandreachingpower,whichisconvenientandpractical.
Thissystemintegrates"PatrolInspection,RoutineInspection,PrecisionInspection,TechnicalSupervision,andIntelligentOnlineDiagnostics"andseamlesslycombinesthemwithoptimizedequipmentmaintenance.Itestablishesaunifiedplatformforinformation,workflow,performanceassessment,managementcontrol,decisionsupport,andcentralizedmaintenance.Thesystembuildsanintelligentfaultdiagnosisknowledgebaseincorporatingbigdataandartificialintelligence(AI)applications.Thisenablesthedeterminationofequipmentfaultlocations,severitylevels,rootcauses,resolutionstrategies,andassociatedmaintenancecosts.Basedonreal-timeequipmentconditions,thesystemfacilitatestherationalformulationofpredictiveandpreventivemaintenancestrategies.Itdeterminesthescope,frequency,anddurationofmaintenance,overhauls,upgrades,andsparepartsmanagement.Ultimately,thesystemachievesamodeshiftequipmentmanagement:transitioningtoaprimarycondition-drivenworkmode,supportedbyasecondaryschedule-drivenapproach.
Visualization:BKCcriticalmachineryhealthmonitoringsystemcombineswiththethree-dimensionalmodeloftheplantandmachineassets,presentthereal-timedataandstatechangingvisually.Forinstance,throughshaftcenterlineplotsatallbearings,youcanseetheminimaloilfilmclearances,andyoucanalsocheckiftheshaftwasliftcorrectlyduringtheturninggear,etc.Moreover,thedifficult-to-understandtime-frequencyanalysisresultsaredirectlylinkedtothestatusoftheunittoachievereal-timevisualassetconditionmonitoring.Analytics:Oursystemprovidingcompletealltoolsofassetconditionmonitoring,includethealarmingapproacheswithBKCmanyyears’experiences,so,wecanquicklydetectthemeaningfulanomalychanges,releasemanpowerfromthehugemeasureddata.BKCdevelopedanintelligentfaultdiagnosisknowledgebaseplug-insystemwithBKCproprietaryalgorithm,itcananalysisthedataandconducttheanomalydetectionandidentifypotentialmalfunctionsindetail,findoutthefaultlocations,severity,rootcausesandactionplans,generatetheexceptionreport,anddeliverthemessagestotherightpeople,provideadvanceddecisionsupportsforthemachineryhealthyoperation.
The2023InternationalGasTurbineOperationandMaintenanceConferencewasheldinHangzhouonthe26thand27thofthismonth.ThisconferenceishostedbyGasTurbineMROandhasreceivedstrongsupportfromtheInstituteofMetalResearchofChineseAcademyofSciencesandShanghaiElectricGasTurbineCo.,LTD.BeijingBKCTechnologyCo.,Ltd.wasinvitedtoattendthisInternationalGasTurbineOperationandMaintenanceConference.
BeijingBikecheCompany's2023SecondHalfCondition-basedMaintenance(PrecisionInspection)TrainingPlan:Tobettermeetthediverseneedsofcustomersforcondition-basedmaintenance(Precisioninspection)training,BikecheCompanyhaslaunchedalong-termtrainingprogram,withthecourseschedulecarriedoutinarepetitivemanner.Customerscanchoosethetimethatismostconvenientforthemtosignupforthestudy.
In2022,ourcompanyimplementedthe"ThermalControlCondition-basedMaintenancePlatform"projectforHuanengWeihaiPowerPlant.Thisprojectincluded:low-codecloudplatform,visualandeditableexpertmodellibrary,directconnectionofDCSdata,real-timedatabase,streamcomputing,andofflinecomputing.Completetheconstructionofmodulessuchascontrolsystemdiagnosis,controlperformanceevaluation,thermalcontrolequipmentdiagnosis,automaticprotectionanalysis,exhibitioncenter,personalcenter,andtechnicalmanagement.
BeijingBKC,incollaborationwithChinaElectronicsHuachuangandJiangsuChangshuPowerPlant,hasdevelopedthe"IntegratedMaintenanceandPowerGenerationStrategySystemforThermalPowerPlantsBasedonBigData"withtheNo.5unitofChangshuPowerPlantasthepilotproject.SinceitsofficiallaunchonJune25,2021,thesystemhasbeenoperatingstablyandprovidingagooduserexperience.
InDecember2021,BKCofficiallyreleasedthe"IntelligentEarlyWarningSystemforThermalControlCondition-basedMaintenance".The"IntelligentEarlyWarningSystemforThermalControlCondition-basedMaintenance"isthethirdproductsuccessfullydevelopedbyBTCin2021.Thereleaseofthisproductmarksahistoricbreakthroughinthe"conditionmonitoringandearlywarningofsecondaryequipmentinpowerplants"inthereliabilitycondition-basedmaintenancesystemofBiketexequipment,effectivelyinterpretingtheconnotationofBiketex'ssmartpowerplantsandachievingdeeperresearchandapplicationofprocessdataandintelligentearlywarning.
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