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Integrated
Air-GroundOperationstoImprove
Operational
Efficiency
of
Airports空地一體化運(yùn)行提升機(jī)場運(yùn)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(jìn)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(diǎn)一:無法精確感知空中航空器運(yùn)行態(tài)勢,無法動態(tài)獲取航班精確預(yù)達(dá)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(diǎn)二:缺乏航班運(yùn)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(diǎn)三:“機(jī)-車-場道-設(shè)施”協(xié)同能力差,場面沖突風(fēng)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(fēng)險大High
risk
of
conflicts
at
the
airports痛點(diǎn)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(diǎn)數(shù)據(jù)人工錄入,誤報漏報多,數(shù)據(jù)不準(zhǔn)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(dá)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(jī)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(dá)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(jī)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(jìn)離港航班進(jìn)行實時運(yùn)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(jī)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(jī)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(jī)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(jī)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(jī)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(yùn)行狀態(tài),一旦發(fā)現(xiàn)跑道侵入風(fēng)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(jī)-車位置實時監(jiān)測,保障跑道運(yùn)行安全3.Real-timemonitoringofaircraft-vehiclepositionstoensurerunwayoperationalsafety2023年,系統(tǒng)在國內(nèi)18個機(jī)場部署投運(yùn)。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(yùn)機(jī)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(jī)-車位置實時監(jiān)測,保障跑道運(yùn)行安全3.Real-timemonitoringofaircraft-vehiclepositionstoensurerunwayoperationalsafety利用人工智能及先進(jìn)算法,對資源分配、保障任務(wù)進(jìn)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(diǎn)進(jìn)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(diǎn)采集的準(zhǔn)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(jìn)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(jī)-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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