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March2026
Mcsey
&company
InfrastructurePractice
Europeaninfrastructureisevolving—and
investorsare,too
InvestorsinEuropeaninfrastructurecontinuetobroadentheirexposureanddeployhighlevelsofdrypowder.Thefutureofthesectorpromisestobeinterestinginacompetitiveinvestorenvironment.
byAlexUgryumovandNicolaSandri
withTommasoCariatiandVijaySarma
Europeaninfrastructureisevolving—andinvestorsare,too2
Infrastructureisarapidlygrowingassetclass,
bothinEuropeandaroundtheworld.TheEuropeanUnioncontinuestomakeinvestmentstoenhance
theregion’sresilience.Massiveglobalinvestmentneeds(estimatedataround$106trillionfrom2024to2040)areexpectedtoputincreasedstrainon
publicbudgetsmovingforward.
Tomeetthisdemand,privatecapitalwillneed
tostepin,asexploredinMcKinsey’sreportThe
infrastructuremoment.1Awidespectrumof
investmentstrategieshastheopportunityto
succeedinthecomingyear.Thisisparticularlytrueasthescopeofinfrastructureinvestmentsexpandstoincludeassetssuchasinfrastructureservices
(forexample,predictivemaintenancesystems),
telecommunications,andsocialinfrastructure(forexample,radiologychainsornurseries).
Althoughgrowingandbroadening,theEuropean
infrastructureassetclassstillfaceschallenges.Inrecentyears,returnsfrominfrastructurehavebeenstrained,leadingglobalinfrastructureinvestorstodeploycapitalmoreslowly.Asaresult,investors
todayarecontendingwithveryhighlevelsof
drypowder.Thisisonlyexpectedtoincreaseasfundraisingmomentumpicksup.
Inthisarticle,weshareourlatestresearchonEuropeaninfrastructuretohelpinvestorsbetterunderstand
today’sinvestmentlandscape(seesidebar“Abouttheresearch”).Giventhissector’sdynamismandrecent
challenges,investorswillneedtothinkoutsidethe
boxtodeploycapitalatpaceandachieveattractive
returns.Tohelp,wehighlightwaysinvestorscankeeptheirfingersonthepulseofEurope’sinfrastructurebybuildingnewresearchcapabilitiesandAI-streamlinedoriginationandexecutionprocesses.
Europeaninfrastructureis‘comingofage’
Infrastructureassetsundermanagement(AUM)in
Europehavegrownfromabout€91billionin2014
(about11percentofprivatecapital)toabout€487
billionin2025(almost20percentofprivatecapital),a
CAGRof16.5percent(Exhibit1).Theenergytransitionandmacrotailwinds,includinglowinterestratesandgovernmentfiscaltightness,weremajordriversofthisgrowth,withinvestorssupportingtheexpansionandupgradeofcriticalinfrastructureassets(forexample,fiberrolloutandairportupgrades).
AnumberoftrendsareshapingthisinfrastructureinvestmentgrowthinEurope:
—Decarbonizationandenergysecurity.The
energytransitionhasdrivenasignificantshareofinvestmentsinEuropeaninfrastructureover
thepastfivetotenyears.TheEuropeanUnion’scommitmentstoachievingclimateneutrality
by2050andthegradualintroductionofthe
mechanismstodoso(forexample,ETS2,the
EnergyPerformanceofBuildingsDirective,andtheRenewableEnergyDirective)haveincreasedinvestmentsininfrastructuresupporting
decarbonization.Theenergyshockof2022setbackthisambition,shiftingthefocustoenergysecurityversusdecarbonization,whichinturnhaspushedinvestorstofocusonnear-and
medium-termplans.
—Commercereconfiguration.Globale-commerceissettogrowat15to20percentannuallyinthecomingdecade,creatingsignificantdemandforasset-intensiveoperations.2Atthesametime,
Europeisexpectedtoincreasinglyfacesupplychaindisruptionsandtariffpressures,leadingtogreaternearshoringandshiftsintransportationneedsthatcouldimplyarealignmentof
infrastructureandsupplychains.
—TheriseofgenAI.Thetransitiontocloudis
stillaccelerating.GenAIwillalsoincrease
computationalloadsonthecloudsignificantly,
spurringgrowthinEurope’sdigitalinfrastructure.
—Demographicshiftsaffectinghealthcare.
Europehasaprojectedfinancinggapfor
healthcaresystemsthatwillrequireadditionalacuteandsubacutecareinfrastructureand
nursinghomes.
1AlastairGreen,IshaanNangia,andNicolaSandri,Theinfrastructuremoment,McKinsey,September9,2025.
2E-commercemarketsize&share,bydevice(smartphones,tablets,desktops&laptops,others);modeltype;paymentmethods;producttype–globalsupply&demandanalysis,growthforecasts,statisticsreport2026-2035,ResearchNester,November13,2025.
Europeaninfrastructureisevolving—andinvestorsare,too3
Exhibit1
Europeaninfrastructurehasemergedasthesecond-largestassetclassforprivatecapitalinEurope.
Assetsundermanagement(AUM)andfundraisingforassetclassesinEurope
Venturecapital
Realestate
Privateequity
PrivatedebtInfrastructure
2,452
2,089
1,776
1,334
2020
2,901
2,576
2025
YTD2
1,120
794
2014
CAGR,
2014–25,
%
13.0
7.0
9.8
15.5
16.5
PrivatemarketAUM,1€billion
2,619
Fundsraisedbyassetclass,1€billion
281279
250
218
2025
YTD
283
246
193
2020
178
101
2014
CAGR,
2014–25,
%
2.8
–3.2
6.0
11.2
17.4
Q1–Q3fundraising,%
2024
229
2025
191
100%in€billion
13
15
60
6
6
27
24
36
10
3
Note:Figuresmaynotsumtototals,becauseofrounding.
1Toavoiddoublecountingofavailablecapitalandunrealizedvalue,fundsoffundsandsecondariesareexcluded.2Yeartodate.
Source:Preqin
McKinsey&Company
Europeaninfrastructureisevolving—andinvestorsare,too4
Abouttheresearch
FromDecember2024toDecember
2025,McKinseyconductedresearchinto
theperformanceofmorethan63listed
infrastructureassetsandmorethan140
infrastructureassetsheldbyprivateequityfirmsinEurope.WecombinedthisresearchwithinsightsfromMcKinsey’s2024LimitedPartnerSurveyandleveragedDealscan.AI,aproprietaryAItool,tounderstandthe
performanceofinfrastructureasanasset
class.Analysisincludedallinvestment
phasesfrominitialfundraisingtoinvestmentperformanceonthefinalasset.
Inthisarticle,weclassifyinfrastructureinthefollowingfourcategories:
—Energyandenvironment.Thisincludesrenewables(onshoreandoffshorewind,solar,andbiomethaneandbiomass);
utilitiesandmidstream(water,liquefiednaturalgas,powertransmission
anddistribution,oilpipelines,gas
transmissionanddistribution,meteringandutilityleasing,districtheating,
wasteandenvironmentalservices,andtankterminals);anddecarbonization
(hydrogen,electric-vehiclecharging,biofuelsandsustainableaviation
fuel,batteryenergystorage
systems,andindustrialandbuildingsdecarbonization).
—Transportandlogistics.Thisincludes
maritime(ferries,offshoreandonshoresupport,ports,andwellboats);road
(highways,motorwayserviceareas,parking,trailerleasing,busesandpublictransit,andcoldchain);rail
(passengerrailoperationsandhigh-speedrail,freightrail,androlling
stockleasing);andair(airportsand
government-sponsoredenterprises).
—Digitalandcommunications.This
includesfiber(fibertothehomeand
B2Bfiber);mobile(passiveandactive);datacenters;andothers(Internetof
Thingsfacilitiesandsatellites).
—Healthcareandsocialcare.This
includeshealthcare(hospitals,
clinicalchainsandlabs,andcapitalleasing)andsocial(carehomes,
highereducation,andstudentaccommodation).
AsEuropecontinuestoinvestindecarbonizationtechnologies,pushtonearshorecritical
manufacturingandenergyinfrastructure,addressrecentgeopoliticaldevelopments,andanticipategenAI–relateddemand,theregion’sfocuson
infrastructureisonlyexpectedtoincrease.
With€700billionindrypowder,thereisanopportunitytoreshapetheEuropeaninfrastructuresector
Boostedbythestronggrowthofinfrastructureas
anassetclass(indicatedbythegrowingpercentoftotalprivatecapitalAUM)andthematuringofthe
assetlandscape,limitedpartner(LP)sentiment
remainsverypositive.AbouthalfofLPsinthe
UnitedStatesandEuropesaythattheywillincreaseexposuretotheassetclassinthenextthreeyears,accordingtoMcKinseysurveydata(Exhibit2).
Becauseinfrastructureisrelativelynewcomparedwithotherassetclasses(comingtoprominence
inthemid-2000s
3
),allocationtoinfrastructure
formostinvestorsisstilllowerthantargetlevels
ofaround15to20percent,indicatingfurther
headroomforgrowth.However,deploymenthas
slowedinrecentyears,withinvestmentsinEuropedroppingbyabout40percentfrom2022to2024.Meanwhile,fundraisingforinfrastructurehas
outpacedcapitaldeployment.
Asaresult,drypowderhasincreaseddramatically:Acrossinvestortypes,investorsheld€789billioninEuropein2024,(Exhibit3).Thisislikelytogo
upfurther,giventhat2025wasanotherhigh
watermarkforinfrastructurefundraising($289billionraised).
4
Withthesehighlevelsofdrypowder,infrastructuremanagersareunderpressuretodeploycapital.
Todoso,investorsmayneedtothinkoutside
theboxandbroadentheirattentiononEurope’sinfrastructurelandscape.
3DanielKemp,“Howinfrabecamea$1trnassetclass,”InfrastructureInvestor,November2,2023.
4BrunoAlves,“DOWNLOAD:Fundraisingin2025smashesallrecords,”InfrastructureInvestor,January8,2026.
Exhibit2
Europeaninfrastructureisevolving—andinvestorsare,too5
Globally,LPsplantoallocatemorecapitaltoinfrastructurecomparedwithotherassetclasses.
Globaltargetassetallocationexpectations,1%ofrespondents
Buyout
Growthequity
Venturecapital
Realestate
Infrastructure
Privatecredit
xxNetchange,2percentagepoints
Next12months
8
_18
26
16
_12
28
_19
3
22
_21
0
21
28
_12
_10
40
35
45
Next3years
_19
22
41
24
_15
39
_20
16
36
_33
–8
25
_10
39
49
_15
32
47
Shiftinnetchange,12monthsvs3years,percentagepoints
+14
+8
+13
–8
+11
–3
Note:IncludesonlycoreLPs:endowmentsandfoundations,pensions,insurers,andsovereignwealthfunds.
1Question:Overthenext12monthsandnext3years,doyouanticipateyourtargetallocationtothefollowingassetclassestoincrease,staythesame,ordecrease?
2Calculatedas%ofrespondentswhoresponded“Increase”minusthe%whoresponded“Decrease.”Source:McKinseyLPSurvey,Sept2025(n=212)
McKinsey&Company
Returnsfrominfrastructurehavechallengedinvestors
Atthesametimeasdrypowderhasaccumulated,
theconceptofinfrastructurehasgrownandevolved(seesidebar“Typesofinfrastructureinvestments”).5Infrastructurenowencompassesnotonlycore
assetssuchasroadsandbridgesbutalsoassetsthathaveinfrastructure-likecharacteristics.
Acrosstheseassetclasses,returnsvary,butthe
trendisoneofdeclineinrecentyears.From2014–19,Europeaninfrastructure6deliveredbetterreturnsthanthemarket(83percentversus36percent
TSR),whichisnotableconsideringthatreturns
oninfrastructureassetsaretypicallyexpected
tobelowerthanothertypesofassets.However,
between2019and2025,thepicturewasalmost
theopposite:InfrastructurestocksdeliveredaTSRof35percentversustheEuronext100benchmarkof82percent.Moreover,forprivatelyheldassets,7
EBITDAmarginsdeclinedbyanaverageoftwo
percentagepointsin11outof17infrastructureassetclassesbetween2019to2023,withtheaverage
returnonassetsduringthisperiodbeingonly3.5
percentaccordingtoMcKinseyanalysis.ThisisdueinparttoeffectsfromtheCOVID-19pandemic.
Thishascompelledinvestorstoseekwaysto
meetreturnthresholdswhileensuringcapitalis
5AlastairGreen,IshaanNangia,andNicolaSandri,Theinfrastructuremoment,McKinsey,September9,2025.
6Includesmorethan60listedinfrastructurecompaniesinEurope.
7Includesabout140infrastructureinvestor–ownedcompanies.
Exhibit3
Europeaninfrastructureisevolving—andinvestorsare,too6
DrypowderamongEuropeaninfrastructureinvestorsremainshighdespiteslowingfundraising.
DrypowderacrossassetclassesinEurope,€billion
+15%p.a.1
424
22
99
167
68
68
2017
CAGR,
2014–
Q12025,
%
12
3
8
12
11
p.a.
761
59
117
318
120
146
2023
651
39
562
30134
139
271
214
123
310
241
118
117
789
56
108
353
136
136
2024
692
49
89
312
121
121
2025
YTD2
479
25
110
190
81
74
2018
Venturecapital
Realestate
Privateequity
PrivatedebtInfrastructure
398
20
72
186
66
54
2016
+1%
756
55
132
102
105
2020
90
89
2019
358
17
78
158
281
14
62
132
142
2022
60
45
2015
35
38
2014
108
2021
633
45
Note:Figuresmaynotsumtototals,becauseofrounding.1Perannum.
2Yeartodate.
Source:Preqin
McKinsey&Company
deployedattherequiredpace.Sometechniques
investorsareexploringincludeexpandingthelist
ofassetclasses,lookingintonewgeographies,
andtakingongreaterconstructionandoperationalrisk.However,tomeetthechallengeofdeploying
ever-increasingcapital,infrastructureinvestorsmayneedtopushtheboundariesfurther.
Infrastructureinvestorsneed
tobecreativetocapturethe
opportunitytodeploydrypowder
Whenlookingattoday’slandscape,weseethree
areaswhereinvestorscansubstantiallyuptheir
gametodeploycapitalwhilestilldeliveringadequate
returns:buildingstrongresearchcapabilitiesinnewsubsectors,leveragingAItosurfacedealsoutsidethetypicalpipeline,andgettingsharperonvalue
creationatthediligencestage.
Buildingstrongresearchcapabilitiesinnewsubsectors
Inthenot-too-distantpast,infrastructure
investingwasmainlyfocusedonrelativelypassiveinvestmentsinalimitednumberofoperating
assets(forexample,highwaysandrenewables)
withlimitedriskandveryhighcashflowstability.
Asassetclassesexpandtomeettherequirementsofincreasingcapitalinflows,successfulinvestorswillneedgetcomfortableinvestinginawidearray
Europeaninfrastructureisevolving—andinvestorsare,too7
ofbusinesses.Today,infrastructureinvestor
portfoliosfeaturemorethan50assetclassesthatarealldifferentandthatinvestorsmightnotfully
understand.Investingintheseassets,therefore,
requiresinvestorstosignificantlyrampuptheir
internalcapabilitiestounderstandkeytrends,valuedrivers,andrisks.
Forexample,McKinseyanalysisofinfrastructure
assetsindicatesmidstreamassets,renewables,andutilitieshavedeliveredthehighestreturns,drivenbycommodityprices,withsometransportsegments
alsodeliveringhigher-than-averagereturns(Exhibit4).Revenuegrowthhasbeenhighestindigital
infrastructure(datacenters),alongwithmidstreamassetsandports.
Whilepastperformancecannotpredictthe
future,researchintotheperformanceofsubassetclassesoutsidetheinvestorportfoliocanlead
toabetterunderstandingofunderlyingdriversofperformance.Thisinformationcanthenhelpinvestorsderiveinsightsonfutureperformance.
Someinvestorsareincreasinglysettingup
dedicatedresearchteamstodeliverinsightson
attractiveinvestmentthemes,returnsdrivers,andvaluecreationstrategies.Thisisashiftfromthe
previousnormwhereinvestorslefttheresearch
toinvestmentprofessionals,whowereoftenmorefocusedonongoingoriginationandexecution
effortsthansteppingbackandthinkingbeyondtheshortterm.
Findingopportunitiesineachofthesesubsectors
willbeakeydifferentiatormovingforward.Investorswillneedtobeabletoleveragesimilaranalysisandinsightsastheinfrastructuresectorevolves.
LeveragingAItosurfacedealsoutsidethetypicalpipeline
TherearenumerousAI-drivenopportunitiesfor
investorstoimprovedecision-makingacrossthe
investmentlifecycle,fromfundraisinganddeal
identificationtoduediligence,dealexecution,andportfoliomanagement.AIcanprovidevisibilityintodata,usestructureddatasetstocreateforward-
lookingmachine-learningmodels,anduselargeandunstructureddatatocreatenetnewcontent.
Typesofinfrastructureinvestments
Infrastructureinvestmentscanbecategorizedinthreecategories1:
—‘Supercore’investments.Theselow-
risk,low-returnassetsareconsideredessentialpartsofthebuiltenvironmentandareconsideredhighlystable.Theyareusuallyregulatedorcontractedandarethereforeprotectedfrominflationwithpredictablelong-termcashflows.Coreinfrastructureincludesutilities,
tollroads,highways,airports,andtelecommunicationstowers.
—Coreinvestments.Theseassetsarestillstablebuthavemoregrowthpotential
andhigherrisks(suchasconstruction
risk,demandrisk,andoperationalrisk)thancoreassets.Theirreturnsaremorecloselyalignedwithotherprivateequityinvestments.These“infrastructure-like”investmentsincludeless-traditional
assetssuchasfiberopticcable,unregulatedairports,andports.
—‘Coreplus’investments.Coreplusassets
sharecharacteristicswithtraditional
infrastructure,buttheyarenottypically
thoughtofasinfrastructure.However,they
areoftenstilllinkedtotheinfrastructurevaluechaininsomeway.Forexample,outdoor
mediasuchasbillboardsexistwithinthe
technology,media,andtelecommunicationsinfrastructurevertical,andpharmaciesexistwithinthehealthcareinfrastructurevertical.Theseinvestmentshavethehighestreturnsbutalsocarrythehighestrisk.
1MarcelBrinkmanandVijaySarma,“Infrastructureinvestingwillneverbethesame,”McKinsey,August1,2022.
Akeyusecaseforinfrastructureinvestorsis
usingAItoolsindealidentification.Othersectorsarealreadymakinginroadsonthisfront.For
example,oneleadingO&GcompanyusedAItoolstoidentifyacquisitiontargetsinanewmarket.
Exhibit4
Europeaninfrastructureisevolving—andinvestorsare,too8
Between2019and2024,returnsfromdi仟erentinfrastructureassetclassesinEuropehaveshifted.
Historicalperformanceof251infrastructurefund–andprivateequity–ownedassetsinEurope,2019–24
B
D
A
C
E
F
APublictransit
BMidstream
CAirports
DTelecomtowers
EParkingandMSAs1
FFreightrailGTollroads
HLeasingIUtilities
JWater
KPortsandmaritime
LEnergyservice
MFiber
NEnvironment
OHealthcare
PRenewables
QData
centers
Bubblesize=averageEBITDAmarginfrom2019–24,%
Changeinreturnonassets(ROA)from
2019–24,percentagepoints(scaled)
_505101520
RevenueCAGR,2019–24,%
Infrastructure
averageO
N
M
15
10
5
0
ROA,
average
from
2019–24,%
K
L
I
J
G
H
Q
P
1Motorwayserviceareas.
Source:G
McKinsey&Company
Thetoolsidentifiedabouttenprioritizedtargets
perscanbasedontheirtechnicalcapabilities,
businessmodel,historicalgrowth,andcustomerbase.UsinggenAI,thecompanyalsodeveloped
detailedprofilesforthehighest-prioritytargets.
Thisextensivesetof“netnew”targetsgrewthe
company’sexistingtargetpipelineby40percentandhelpedthecompanyselectandacquireitstopsite—whichwasunknowntothecompanypriortousingthesetools.
Beyondfindingdifferentiatedinsights,tobe
competitive,investorscanalsolooktosupplementauctionprocesseswithapipelineofproprietary
deals.Thisrequireslookingoutsideofdeallistsfromconventionalsourcesandinvestinginidentifying
companiesthatarenotyetrumoredforsale.
GenAIandlargelanguagemodelscanhelpin
thisprocessbyanalyzinghundredsofdatafields
inautomatedscanstoimprovetheefficiencyof
originationprocesses,allowingcompaniestospendmoretimeontherightopportunities.Thesetools
workbestwithextensivecompanydatabasesthat
theycanusetoiterativelyscanandgenerateinsights.
Finally,genAIcanalsobeusedbeyondoriginationduringtheexecutionandunderwritingprocess.
Forexample,investorsarestartingtouseittoget
betterinsightsfrominformationintheirvirtualdatarooms,prepareinvestmentcommitteememos,buildinvestmentcases,andmore.
Europeaninfrastructureisevolving—andinvestorsare,too9
Operationalduediligenceisa
criticalprocessforinvestorsto
uncovervaluecreationopportunitiesinpotentialinvestments.
Gettingsharperonvaluecreationatthediligencestage
Apartfromenhancingresearch,origination,and
executioncapabilities,investorsneedtopushthe
envelopeonvaluecreationduringthedealstage.
Operationalduediligence(ODD)isacriticalprocessforinvestorstouncovervaluecreationopportunitiesinpotentialinvestmentsandmaintaindiscipline
onreturns.ODDprovidesastructuredapproach
toassessandidentifyareaswhereoperational
improvementscandrivegrowth,enhanceefficiency,andmitigaterisks.
TobuildandimproveODDcapabilities,investorscanfocusonafewkeyelements:
Prediligencepreparation.Beginbyidentifyingthe
operationalareastobeassessed,suchassupply
chain,manufacturing,orcorporatefunctions.This
stepinvolvesformingarobustfactbasethrough
datarequestsforfinancialoverviews,operational
metrics,marketinsights,andmore.Developa
financialandoperationalbaselinemodel,andcreatehypothesesaboutpotentialvaluecreationlevers.
Operationalassessment.Assesskeydrivers
suchasgrossmargin,supplychainefficiency,
andotheroperationalmetricstoidentifyareas
forimprovementinthetargetcompany.Conductinterviewswithfunctionalleaders,andrun
benchmarkanalysestocomparethetarget
company’sperformanceagainstindustrystandards.Thishelpsidentifygapsandareasforoptimization.Evaluateexternalfactorssuchasmarkettrends,
competitivedynamics,andregulatoryrisksthatcouldaffectthetargetcompany’soperationsandvaluecreationpotential.
Identifyingvaluecreationlevers.Exploremarketdevelo
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