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Integrated

Air-GroundOperationstoImprove

Operational

Efficiency

of

Airports空地一體化運行提升機場運行效率空地一體化提升效率的現(xiàn)實需求PracticalNeedsforEnhancingEfficiencythroughIntegrated

Air-GroundOperation航科院助力空地一體化的創(chuàng)新實踐InnovativePracticesinIntegrated

Air-GroundOperationbyCAST進一步提升空地一體化效率展望ProspectsforFurtherEnhancingtheEfficiencyofIntegrated

Air-GroundOperation

目錄

CONTENTS

010203空地一體化提升效率的現(xiàn)實需求PracticalNeeds

forEnhancingEfficiency

throughIntegrated

Air-GroundOperation01痛點一:無法精確感知空中航空器運行態(tài)勢,無法動態(tài)獲取航班精確預(yù)達時刻和異常狀態(tài)Bottleneck1:Inabilitytopreciselysensethereal-timeoperational

situationofaircraftinflight,resultingindifficultiestodynamicallyobtain

accurateflight

arrivaltimeandabnormal

status空管通告報文、無線電播報實時性與交互性較差Poorreal-timeperformanceandinteractivityof

ATCnotificationandmessagesandradiobroadcasting缺少對航班異常狀態(tài)的分析和提示Lack

of

analysis

and

warning

of

flight

abnormalities痛點二:缺乏航班運籌規(guī)劃能力,航空器地面滑行時間過長Bottleneck2:Lackofflightarrangementandplanningcapabilities,leadingtoextendedgroundtaxiingtimeforaircraft等待時間長Longwaitingtime滑行時間長Longtaxitime痛點三:“機-車-場道-設(shè)施”協(xié)同能力差,場面沖突風險居高不下Bottleneck3:Poorcollaborationamongaircraft,vehicles,pavements,andfacilities,resultinginpersistentandhighrisksofgroundconflicts場面交通復(fù)雜,沖突因素多Complicatedsurfacetrafficwithmultipleparties場面沖突風險大High

risk

of

conflicts

at

the

airports痛點四:缺乏智慧化保障資源調(diào)度手段,資源配置和保障能力不穩(wěn)定Bottleneck4:Lackof

intelligentresourceallocatingapproaches,leadingtounstableresourceallocationandsupport

capabilities保障節(jié)點數(shù)據(jù)人工錄入,誤報漏報多,數(shù)據(jù)不準確Manualdatainput,falsereporting,inaccuratedata人工任務(wù)排班調(diào)度效率低Low

efficiency

of

manual

task

scheduling航科院助力空地一體化的創(chuàng)新實踐InnovativePracticesinIntegrated

Air-GroundOperationby

CAST02以空管報文、ADS-B、

雷達位置數(shù)據(jù)、航司ACARS數(shù)據(jù)等為基礎(chǔ),融合航空數(shù)字化地圖、高精度機場平面圖,實現(xiàn)航班的全球?qū)崟r監(jiān)控追蹤、異常航班監(jiān)控告警、航班預(yù)達時刻動態(tài)預(yù)測Realize

global

real-time

monitoring

and

tracking

of

flights,

monitoring

and

alarming

of

abnormalities,

and

real-time

prediction

of

estimated

time

of

arrival

based

on

ATC

messages,

ADS-B,

radar

position

data

and

airlineACARSdata,combinedwithdigitalaviationmapandhigh-resolutionairportmap1.全球航班實時監(jiān)控預(yù)警,解決空中態(tài)勢感知問題1.Globalreal-timemonitoringandalertingof

flightstosolvein-flight

situational

awareness將落地前30分鐘內(nèi)的預(yù)測精度控制在3分鐘以內(nèi);截至目前,全球航班追蹤監(jiān)控系統(tǒng)應(yīng)用于50家航空公司和40多家機場,產(chǎn)生有效告警每天近2000次The

estimatedtime

ofarrivalwithin

30minutesbeforelandingis

no

more

than

3

minutes.

The

system

is

appliedby

50airlinesandmorethan40airports,generatingnearly2,000validalarmsperday.1.全球航班實時監(jiān)控預(yù)警,解決空中態(tài)勢感知問題1.Globalreal-timemonitoringandalertingof

flightstosolvein-flight

situational

awareness基于“就近起降,動態(tài)規(guī)劃”原則,成功對進離港航班進行實時運籌規(guī)劃,實現(xiàn)航空器管制指揮方案的“秒級”迭代優(yōu)選,解決了離港航班推出時間智能排序、數(shù)字孿生大模型求解時間長的難題Based

on

the

principle

of"proximity

of

takeoff

and

landing

by

dynamic

arrangement",we

developed

an

Apron

ControlDecision-Making

Assistance

System,whichcanoptimizethetaxiingpathinseconds,andsubstantiallyreducethe

taxiingtime.2.機坪管制智能輔助決策,有效降低滑行時間2.Intelligentassistanceinaproncontroldecision-makingtoeffectivelyreducetaxiingtime2023年,該系統(tǒng)在某機場應(yīng)用后,航空器平均滑出時間縮短了15%,航班正常性提升約2.4%,CTOT符合率(代表空地協(xié)同能力)提升約9%,大幅減少了滑行過程中的沖突等待、機場碳排放和航空器燃油成本消耗。Sinceitsimplementationanairportin2023,

15%reductioninaverage

taxi-out

time,

2.4%

increase

in

flight

regularity,9%increaseinCTOT.Theseimprovementshavesignificantlyreducedholdingtimeduring

taxiing,

airport

carbonemissionsandaircraftfuelconsumption.2.機坪管制智能輔助決策,有效降低滑行時間2.Intelligentassistanceinaproncontroldecision-makingtoeffectivelyreducetaxiingtime將傳統(tǒng)的人工監(jiān)管模式轉(zhuǎn)化為“機器監(jiān)控預(yù)警、人為處置”的智能管控模式;實時監(jiān)控車輛與跑道、車輛與航空器的安全運行狀態(tài),一旦發(fā)現(xiàn)跑道侵入風險,自動向車輛駕駛員和空中交通管制員告警Theintelligentmonitoringandearlywarningsystemforrunwayincursioncanmonitorrunways,vehicles

and

aircrafts

inrealtime,andautomaticallyalertdriversandcontrollersoncetherunway

incursionrisk

is

detected.3.機-車位置實時監(jiān)測,保障跑道運行安全3.Real-timemonitoringofaircraft-vehiclepositionstoensurerunwayoperationalsafety2023年,系統(tǒng)在國內(nèi)18個機場部署投運。已外理航班數(shù)據(jù)2千萬條,車輛數(shù)據(jù)2億條,有效預(yù)警130次,所有投運機場全年未發(fā)生跑道侵入事件。In2023,thissystemhasbeendeployedtooperateat

18airports.The

systemhasprocessedover

20

million

flightrecordsand200millionvehiclerecords.Ithasissued

130validalerts,andtherehavebeenzerorunway

incursion

incidentsat

any

of

the

deployed

airports

throughout

the

year.3.機-車位置實時監(jiān)測,保障跑道運行安全3.Real-timemonitoringofaircraft-vehiclepositionstoensurerunwayoperationalsafety利用人工智能及先進算法,對資源分配、保障任務(wù)進行智能調(diào)度和合理分配;采用多種技術(shù)方法對航班地面保障節(jié)點進行自動采集,實現(xiàn)關(guān)鍵保障狀態(tài)的自動感知Leveragingon

AIandadvancedalgorithms,weintelligentlyscheduleresourceallocation

and

support

task

operationsbasedonfactorssuchastasknature,priority,andresourcerequirements.Tasksare

allocatedproperlytorespectiveoperationalstaff.Meantime,varioustechnologicalapproachesareemployedtoachievetheautomatic

collectionof

groundsupportnodedata.4.地面保障智能化,提升保障效能4.Intelligentgroundsupporttoenhanceeffectivenessandefficiency人工排班由以前的2小時縮短到10分鐘,語音對講通話減少70%,將關(guān)鍵節(jié)點采集的準確性和完整性提高到95%以上Thissystemhasbeenappliedatsome

airports.

Sinceitsimplementation,thetimeformanualschedulingwasreducedfrom2hto

10min,voicecommunicationdecreasedby70%,and

the

accuracy

and

integrity

of

critical

node

datacollectionexceeded95%.4.地面保障智能化,提升保障效能4.Intelligentgroundsupporttoenhanceeffectivenessandefficiency進一步提升空地一體化效率展望ProspectsforFurtherEnhancingtheEfficiencyof

Integrated

Air-GroundOperation03

1.下一代通信技術(shù)的應(yīng)用1.

Applicationofnextgenerationcommunicationtechnology衛(wèi)星互聯(lián)網(wǎng)在旅客服務(wù)、態(tài)勢感知、應(yīng)急保障中的應(yīng)用Application

of

satellite

network

inin-flightInternetservices,airsituationalawarenessandemergency5G在“機-車-場道-設(shè)施”互聯(lián)中的應(yīng)用Application

of

5G

inaircraft-vehicle-airport-facility2.新一代信息技術(shù)的應(yīng)用2.

Applicationofnewinformationtechnology

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