2015年美赛O奖论文B题Problem_B_32879

2019-03-28 12:28

2015MathematicalContestinModeling(MCM)SummarySheet

IntotheVoid:AProbabalisticApproachtotheSearchforMissingAircraft

Inrecentyears,thedisappearanceofmajorcommercialaircraftoveropenoceanhasledtoexpensiveinternationalsearche?orts.Thesesearchesrequirethee?cientallocationofresourcesandtimeinorderto?ndsurvivorsofthecrashandtheairplaneitself.

Wedevelopagenericprobabilisticmodeltonotonlypredictthelocationofthedownedaircraft,buttoalsoaidinoptimizingthesearchinatimee?ectivemanner.Thismodelassumesthatatthemomentoflostsignal,theplaneexperiencesafailureandisnolongerpowered.Speci?cally,weaccomplishthefollowing:

?InitialProbabilityDistribution:Wecreateapriorprobabilitydensityfunctiontomodelthepotentiallocationsofthemissingplane.Thisdistributionisbasedsolelyontheknowledgethatwehaveabouttheplaneatthetimeoflostcontact:itslocation,bearing,cruisealtitude,andlift-to-dragratio.

?SearchPatterns:Weimplementfourindependentsearchpatternsanddevelopamethodtomeasuretheire?ectivenessbasedonthetotalprobabilityof?ndingtheaircraft.Weconstructanoptimizationalgorithmtodeterminethemoste?ectivemeansofconductingeachsearch.

?DynamicProbabilityModel:WeemployBayesianInferencetocontinuouslyadjusttheprobabilitiesofourdistributionasinformationfromthesearchiscollectedandprocessed.Thisallowsustocreateaposteriorprobabilitydistributionwhichre?nesthedatautilizedinsubsequentsearches.

?Versatility:Weexplorevariationsofcrashandsearchscenariosthatrealisticallysimulateactualincidents.Thisadaptabilityisachievedthroughtheincorporationofadjustableinputparametersthatre?ectuniquecircumstances.

Ultimately,ourmodeldemonstratesthataneasily-packedandspacially-e?cientpattern,suchastherectangularparallel-sweep,moste?cientlymaximizestheprobabilityof?ndingalostaircraftovertime.

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Contents

1Introduction

1.1Overview......................................1.2Nomenclature...................................1.3SimplifyingAssumptions.............................2ModelTheory

2.1PriorProbability:RandomDescent.......................2.2Bayes’Theorem..................................2.3PosteriorProbability:SearchPaths.......................2.4OptimizationCriteria........

.......................3ModelImplementationandResults

3.1PriorProbabilityModel:ADiscreteGrid....................3.2GeneralSearchModelMethods.........................3.3SimpleSquareSearchModel...........................3.4OptimizedRectangleSearchModel.......................3.5SpiralSquareSearchModel...........................3.6OctagonalSectorSearchModel.........................3.7ModelVariationandComparison.......

.................3.7.1SinglePlaneSearchModelComparison.................3.7.2FivePlaneModelComparison......................3.7.3HighLikelihoodofStall.........................3.7.4ShortRangeSearchAircraft.......................3.7.5ComparisonofVariedSearchPatterns.................3.7.6TheE?ectivenessParameter......

.................

4FinalRemarks

4.1StrengthsandWeaknesses............................4.2FutureModelDevelopment...........................4.3Conclusions....................................

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1.1

Introduction

Overview

Sincethedawnoftheaviationage,crashesandotherincidentshavehelpedshapedthetechnologyintheaviationindustry.Notonlyhavetheyguidedthedesignofairframes,propulsionsystems,wings,andmanyothercomponentsofanaircraft,theyhavealsoheavilyin?uencedthetechnologyoftheentireindustry,includingthatofsearchandrescue.Inthelastdecade,worldwideattentionhasbeendirectedtowardsthesearchformissingaircraft,especiallyoverwater,duetotwomajorincidents:

?June,2009:AirFranceFlightFlight447(AirbusA-330)wentmissingovertheAtlanticOceanwithoutatrace.Ittook?vedaysforsearchersto?ndanysignsofwreckageandnearlytwoyearsforthe?ightdatarecorderstoberecovered[1].

?March,2014:MalaysianAirlinesFlight370(Boeing777)disappearedovertheSouthChinaSea.Anearlyyear-longinternationalsearche?orthasstillfoundnotraceoftheaircraft[2].

Inbothoftheabovecases,allcrewandpassengerswerelost(orareassumedtobelost),andmanymillionsofdollarswerespentinthesearche?ort.Thee?cientsearchandrecoveryofaircraftinthefuturecouldsavelivesandmoney.Inthisreport,wewilldetailaseriesofgenericmathematicalmodelsthatdescribeandoptimizethesearchforamissingaircraft.

1.2Nomenclature

Description

Areaofthesearchgrid

CruisealtitudeformissingaircraftLift-to-dragratioformissingaircraft

Numberofsearchpassesinasearchregion

ProbabilityofagridpointcontainingtheaircraftPosteriorprobabilityforasearchedlocation

ProbabilityofdetectingtheaircraftgivenitiswithinthesearchregionProbabilityofagridpointcontainingtheaircraft,wherenosearchisconducted

r??Posteriorprobabilityforanun-searchedlocationREntiresearchregion

sSquareregionsidelengthWLateralsearchrange

xEast-WestdistancefromthepointoflosingcontactyNorth-SouthdistancefromthepointoflosingcontactzDistancetraveledbythesearchplanewithinasearcharea

Wewillbeginbyde?ningalistofthenomenclatureusedinthisreport:Abbreviation

AhL/Dnpp??qr

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AbbreviationDescription

αParameterdescribingtheeaseof?ndingthemissingplaneβParameterdescribingthee?ectivenessofasearchplaneλE?ectivenessparameterφAngleofchangeinbearingσStandarddeviationθGlideangle

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1.3SimplifyingAssumptions

Theaccuracyofourmodelsrelyoncertainkey,simplifyingassumptions.Theseassumptionsarelistedbelow:

?Theplaneispreciselytrackeduntilthemomentthatcontactislost.Atthatpoint,itisnolongerpowered(i.e.theenginesprovidenothrustandnosignalsaretransmitted).?Theplanelostcontactduringthecruisephaseofits?ight.

?Thepilotcanmakeasingleturnofnomorethan180?ineitherdirectionimmediatelyafterlosingcontact.Thisturnisassumedtooccurinstantaneously,asthetheoreticalrangelostduringthisturnisinsigni?cant.?Thereisnowind.

?Therearenooceancurrents.

?Theplane/debriswill?oatinde?nitely.

?Theentiresearchareaiswater(i.e.thesearchareadoesnotextendontoland).?Thesearchplanesonlysearchintheirsearcharea.Althoughtheir?ightfromtherunwaytotheirspeci?edsearchareamaybeoverothersearchareas,theplaneisassumedtonotbesearchingduringthistime.?Thesearchplanescanmakeinstantaneousturns.

?Thereisnolocalcurvatureoftheearth–thesearchareaisaperfectly?at,two-dimensionalsurface.

?Onagivensearchday,thereare12hoursofdaylightduringwhichasearchaircraftcanbe?ying.

Therearealsoseveralparametersofthesearchthatwerede?nedarbitrarilyinordertopresentconsistentresultsinthisreport.Theseparameters,however,canbeeasilyvariedtoaccommodateaspeci?ccaseofamissingaircraft:?Theplaneis?yingdueNorthwhenitlosescontact.

?Arunway,fromwhichsearchandrescuee?ortscanbebased,liesexactly400milesSouthofthepointoflostsignal.

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2.1

ModelTheory

PriorProbability:RandomDescent

First,wemodelthepotentiallocationsforthemissingaircraftwiththeirassociatedproba-bilities.Weassumethattheplaneisnotpoweredafterthelossofsignal,sotheinformationonwhichtobasethesearchislimitedtothelastknownpositionoftheaircraft,thedirectiontheaircraftwastraveling,andthetypeofaircraftthatismissing.Thislastknownpositionwillbeusedtode?netheoriginofaregionRinwhichtheplanecouldbelocated.RegionRwillbede?nedintheCartesiancoordinatesystem,withNorthinthepositiveydirectionandEastinthepositivexdirection.Therearetwopropertiesofthelostaircraftthatareusefulindeterminingwheretheaircraftmaybelocated:lift-to-dragratio(L/D)andaltitude(h).Wewillde?neθastheglideangleoftheplanebelowthehorizontalandφastheaircraft’spossiblechangeinbearingwithrespecttoitsinitialbearing.ThesequantitiesareillustratedinFigures1a&1bbelow:

(a)Visualde?nitionofθ.

(b)Visualde?nitionofφ.

Theminimumvaluefortheunpoweredglideslopeangleθisde?nedbyL/Doftheaircraft[3]:

????

1

θmin=tan?1(1)

L/DAcommonplaneusedfortrans-ocean,longdistance?ightistheBoeing747,having?ownmorethan42billionnauticalmilesinitslifetime[4].ForaBoeing747-400,themostcommonvarietyofthe747,thelift-to-dragratiois17andthecruisealtitudeis35000ft[5].Duetoitsfrequencyoftraveloveroceans,the747-400willbethe?rstaircraftconsideredasthemissingaircraftinthisreport.Itisimportanttonotethattheprobabilisticmodeldescribedlaterisgeneralandcanthereforebeappliedtoanymissingaircraft;thevaluesofL/Dandcruisealtitudesimplyneedtobechangedinthemodel.FromEquation1,theminimumglideslopeanglefora747isabout3.37?.Bygeometricallyanalyzingtheglideangle,asshowninFigure2below,anexpressionde?ningthemaximumrange,rmax,ofthe

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