Page 38 - 2023年第54卷第5期
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Researchandapplicationofdynamicoperatingwaterlevelcontrolmethodduringflood
seasonforlargelow - waterheadhydraulicproject:Acasestudyof
ChangzhouMulti - purposeHydroproject
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ZHAOBikui ,QIUJing 1,2,3,4 ,HUANGBensheng ,TANChao ,LIUDa
(1.GuangdongResearchInstituteofWaterResourcesandHydropower,Guangzhou 510610,China;
2.GuangdongKeyLaboratoryofHydrodynamicResearch,Guangzhou 510610,China;
3.StateJointEngineeringLaboratoryofEstuaryHydraulics,Guangzhou 510610,China;
4.GuangdongProvincialScienceandTechnologyCollaborativeInnovationCenterforWaterSafety,Guangzhou 510610,China)
Abstract:Dynamiccontrolofwaterlevelofdamoperationduringthefloodseasonisanimportantmeanstopromote
theutilizationofrainandfloodresources ,alleviatethecontradictionbetweenreservoirfloodcontrolandbenefit,
andimprovethecomprehensivebenefitofahydropowerstation.TakingtheChangzhouMulti - purposeHydroproject
asanexample,amulti - objectivejointoptimizationdispatchmodelforfloodcontrolandpowergenerationsuitable
forsuchprojectswasconstructedinviewofthemulti - constraintproblemofinundationinupstreamareas ,tailwater
jackingindownstreamareasandlimitedunitoutputoccurringinthedispatchprocessoflargehydroprojectwithlow -
waterhead ,andafloodrootingmethodbasedonthesubmergencecriticalcontrollineandanoptimizedsolution
methodforsuccessivedistributionofpowergenerationflowwereproposed.Throughlongseriessimulationcalcula
tionsandcomparativeanalysisofmultipleschemes ,itisfoundthatcomparedwiththeconventionalscheme,theu
tilizationofthedynamiccontrolofoperatingwaterlevelcouldincreasetheaveragepowergenerationheadofthehy
droprojectby6.88% andtheaveragepowergenerationby8.75% infloodseason ,turningoutsignificanteconomic
benefits.Thisresearchmethodcouldserveasreferenceforfloodcontrolandpowergenerationjointoptimalopera
tionoflarge - scalehydroprojectswithlow - waterhead.
Keywords:low - waterhead;flooddispatch;dynamicwaterlevelcontrol;powergenerationdispatch;Changzhou
Multi - purposeHydroproject
(责任编辑:耿庆斋)
(上接第 529页)
Researchonimprovedmulti - targetmulti - visionunloadingidentificationmodelof
dam transportvehicleunderlargescenevideosurveillance
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ZENGTuocheng,WANGJiajun,WANGXiaoling,ZHANGYunuo,KANGDong
(1.StateKeyLaboratoryofHydraulicEngineeringSimulationandSafety,TianjinUniversity,Tianjin 300350,China;
2.YalongRiverHydropowerDevelopmentCo.,LTD,Chengdu 610051,China)
Abstract:Unloadingidentificationoftransportvehicleisofgreatsignificanceforensuringdamconstructionsafety
andoptimizingtransportconfiguration.However,indam construction,theGlobalNavigationSatelliteSystem
(GNSS)isoftenusedtoanalyzetheactivitystateoftransportvehicles,whichhasthedisadvantagesofhighmoni
toringcostandlowidentificationaccuracy.Atpresent ,itisatrendtodeployhigh - definitioncamerastomonitor
theconstructionoflargescenesonthedamsurface,butthereisnoresearchontheidentificationofunloadingof
transportvehiclesbasedoncomputervision.Tosolvetheaboveproblems,aByteTrack - HRNet - DCLunloading
identificationmodelofdamconstructiontransportvehicleunderlargescenevideomonitoringisproposed.Firstly,
ByteTrackisusedtorealizethevisualdetectionandtrackingofmultipletransportvehiclesinthemonitoringvide
o ,andrecordthedrivingtrack.Secondly,HighResolutionNet(HRNet)isusedtodetectkeypointssuchas
theheadandtailofeachtransportvehicle ,andthenjudgetheforward,stoporbackwardtravelstatusofthe
transportvehiclebasedonthetrackrecorded.Furthermore ,theliftingstateofeachhopperisjudgedbyDestruc
tionandConstructionLearning(DCL)fine - grainedclassificationmethod.Finally,theunloadingstateofthe
transportvehiclesisdeterminedbasedontheanalysisresultsofthesethreevisualmethods.Theexperimentalveri
ficationwascarriedoutontheconstructionsiteofLianghekouinSouthwestChina.TheproposedByteTrack - HR
Net - DCLunloadingidentificationmodelhasanaverageaccuracyof87.3% forunloadingjudgmentand90.3% for
unloadingtimeundertheaverageframerateof34 ,whichverifiesthefeasibilityandeffectivenessofthismodel.
Keywords:unloadingidentification;large - scenevideosurveillance;multipleobjectstracking;keypointde
tection ;fine - grainedclassification
(责任编辑:李福田)
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