Capgemini-智能產(chǎn)業(yè)中的IT-OT-IIOT融合-物聯(lián)網(wǎng)、云和人工智能驅(qū)動的技術(shù)革命（英）-2024-18正式版

IT-OT-IIoTConvergenceinthe

IntelligentIndustry

ATechnologicalRevolutionDrivenbyIoT,Cloud,andAI

Contents

1.Introduction2

2.WhatisIT/OT/IIoTConvergence?2

3.Bene?tsandUseCasesofIT-OT-IIoTConvergence4

4.ChallengestoOvercomeinIT-OT-IIoTConvergence

6

5.SuccessfullyDeployingIT-OT-IIoTConvergence

intheIntelligentIndustry:AnAgileandIterative8

Methodology

6.TheNeedtoIntegrateandComplementIT-OT-IIoT

ConvergencewiththeCloudandAI/ML

9

107.EnhancingSustainabilitywithIT-OT-IIoTConvergence

8.Conclusion

11

2

Introduction

Intheeraofdigitalization,intelligentindustryis

experiencinganunprecedentedtransformation.

TheconvergenceofInformationTechnologies(IT),

OperationalTechnologies(OT),andtheIndustrial

InternetofThings(IIoT)isrede?ningthelandscapeof

theintelligentindustry.

thisrevolution,enablingcompaniestoanalyzelarge

volumesofdatainrealtimeandobtainvaluable

insightsthatcanleadtosigni?cantimprovementsin

productivityande?ciency.

Thisconvergenceisnotmerelythesumofitsparts,

butasynergythatisunlockingnewpossibilitiesand

opportunitiesforbusinesses.

TheintegrationofIT,OT,andIIoTallowscompanies

toacquireauni?edviewoftheiroperations,which

facilitatesdata-baseddecision-makingandimproves

operationale?ciency.

However,thistransformationdoesnotstophere.

Theadoptionofemergingtechnologiessuchascloud

andArti?cialIntelligence(AI)isfurtheraccelerating

ThisdocumentwillexploreindepththeIT-OT-IIoT

convergenceintheintelligentindustrysectorandthe

rolethatIoT,cloud,andAIplayinitsimplementation.

Throughthisjourney,wewilldiscoverhowthis

convergenceistransformingtheindustry,thebene?ts

itbringstobusinesses,andthechallengesthatmust

beovercomeforsuccessfulimplementation.Wewill

alsoexaminehowtheintegrationofcloudandAIcan

furtherenhancethebene?tsofIT-OT-IIoTconvergence

andhowitcancontributetosustainability.

3

WhatisIT/OT/IIoT

Convergence?

TheconvergenceofInformation

Technologies(IT),OperationalTechnologies

(OT),andtheIndustrialInternetof

Things(IIoT)isaconceptthatrefersto

theintegrationofthreedistinct(but

interrelated)technologicaldomainsthatare

transformingtheintelligentindustry.

?InformationTechnologies(IT)refers

totheinfrastructureandcomponents

usedtocreate,process,store,

transmit,andretrieveinformation.

Thisincludeshardwareand

softwaresystems,communication

networks,anddatabases.Inthe

industrialcontext,ITisusedto

managebusinessinformation,like

?nancialdata,humanresources,and

customerrelationships.

?OperationalTechnologies(OT)refer

tothesystemsanddevicesused

tocontrolandmonitorphysical

processesinindustry.Thisincludes

industrialcontrolsystems,like

SupervisoryControlandData

Acquisition(SCADA)systemsand

DistributedControlSystems(DCS),

aswellassensorsandactuators

thatdirectlymonitorandcontrol

physicalprocesses.

?TheIndustrialInternetofThings(IIoT)

isanextensionoftheInternetof

Things(IoT)concept,butspeci?cally

orientedtowardstheindustry.IIoT

referstothenetworkofphysical

devices,vehicles,buildings,andother

objectsembeddedwithsensors,

software,networks,andelectronics

thatallowthemtocollectandshare

data.Intheindustrialcontext,IIoTis

usedtoconnectmachinesanddevices

ontheproduction?oor,allowingreal-

timedatacollectionanddata-driven

decision-making.

TheconvergenceofIT,OT,andIIoTinvolves

integratingthesethreedomainsintoa

uni?edsystemthatallowscompaniesto

monitorandcontroltheiroperationsmore

e?cientlyande?ectively.Thisconvergence

isdrivenbydigitalizationandtheneedfor

businessestobemoreagile,?exible,and

e?cientinanincreasinglycompetitiveworld.

4

5

Bene?tsandUse

CasesofIT-OT-IIoT

Convergence

TheconvergenceofIT,OT,andIIoTo?ersa

seriesofsigni?cantbene?tstobusinessesinthe

intelligentindustry.Herearesomeexamples,

alongwithrelevantusecases:

360°VisibilityImprovedOperational

E?ciency

TheIT-OT-IIoTconvergence

providesacompleteandreal-Processoptimization,driven

timeviewofalloperations,frombyreal-timedatacollection

thesupplychaintoproductionandanalysis,allowsforthe

anddistribution.Thisintegratedidenti?cationandelimination

visibilityresultsinadeepofbottlenecks.Automationof

understandingofbusinessrepetitivetasksandimproved

processes,enablinginformede?ciencyinresourceallocation

decision-makingandtheabilitytocontributedirectlytooverall

respondwithagilitytochangingoperationale?ciency.

marketdynamics.

Usecase:ProductionOptimization

Usecase:Real-TimeControlTower

Theimplementationofarealtime

‘ControlTower’allowscomplete

visualizationofalloperations.This

facilitatesactivesupervision,early

detectionofproblems,andtheability

tomakeinformeddecisionsquickly

ande?ectively.

Forexample,inproduction

optimization,IIoTsensorscan

continuouslymonitormachinesand

productionprocesses,sendingthe

datatothecloudforanalysis.This

enablescompaniestooptimizetheir

productionoperationsinreal-time,

improvinge?ciencyandreducing

costs.

IncreasedProductivity

Productivitycanbeenhanced

thankstoimprovedoperational

e?ciencyandreduceddowntime.

Predictivemaintenance,for

example,candecreasedowntime

bypredictingfailuresbeforethey

occur.

UseCase:PredictiveMaintenance

IIoTsensorscontinuouslymonitor

machineryandsendthedatatothe

cloudforanalysis.AIcanthenidentify

patternsandpredictfailuresbefore

theyoccur,allowingcompaniesto

performpreventativemaintenance,

avoidcostlydowntime,andextend

thelifespanofequipment.

6

ImprovedProductQualityEnhancedSustainabilityImprovedOperatorExperience

Productqualitybene?tsdirectly

fromconvergence,asreal-time

visibilityallowsearlydetectionof

deviationsinproductionprocesses.

DatacollectedbyIIoTsensors

andadvancedanalyticsenable

continuousmonitoringandquality

control,ensuringconsistentend

productsthatmeetthehighest

standards,therebyensuring

customersatisfactionandbrand

reputation.

UseCase:QualityControl

IIoTsensorscancontinuouslymonitor

productionprocesses,detecting

anyanomaliesinreal-time.This

allowscompaniestotakecorrective

measuresimmediately,ensuring

productqualityandreducingwaste.

TheIT-OT-IIoTconvergence

signi?cantlysupportssustainability.

Monitoringandoptimizingenergy

use,wastemanagement,and

supplychainoptimizationare

justafewexamples.Byreducing

environmentalimpact,companies

notonlymeetsocialresponsibility

expectations,butalsosavecostsin

thelongterm.

UseCase:EnergyE?ciency

IIoTsensorscanmonitortheenergy

consumptionofmachinesand

productionprocesses,allowing

companiestooptimizetheirenergy

use,identifyareasofwaste,and

reducetheircarbonfootprint.

TheIT-OT-IIoTconvergence

enhancestheoperatorexperience

byprovidingadvancedtoolsfor

processmonitoringandcontrol.

Operatorshaveaccesstoreal-time

information,intuitiveinterfaces,

andsystemsthatfacilitate

decision-making.Moreover,with

theaidofAIandmachinelearning,

operatorscanfocusonhigher-value

taskswhileroutinetaskscanbe

automated.Thisnotonlyincreases

operationale?ciency,butalso

improvesemployeesatisfaction

andengagement.

UseCase:SupplyChainOptimization

TheIT-OT-IIoTconvergenceoptimizes

thesupplychainbyproviding

completevisibilityfromproduction

todelivery.Theabilitytoanticipate

demand,adjustproduction

accordingly,andcoordinatelogistics

e?cientlycontributestoanagileand

cost-e?ectivesupplychain.Thisnot

onlyimprovese?ciency,butalso

allowsoperatorstofocusonmore

strategictasks.

7

Challengesto

Overcomein

IT-OT-IIoTConvergence

TheIT-OT-IIoTconvergenceisnotwithoutsigni?cant

challenges.Twokeyobstaclesthatcompaniesmust

comprehensivelyaddressareend-to-endsecurityand

changemanagementinitscultural,technological,

andprocessdimensions.Overcomingthesechallenges

isessentialtoensureasuccessfulandsustainable

implementationofIT-OT-IIoTconvergence.

End-to-EndSecurity:AnUnbreakableImperative

SecurityinIT-OT-IIoTconvergencemustbeaddressed

asanabsolutepriority.Byconnectingdevices,ITandOT

systems,andbusinessprocessesinanintegratedecosystem,

thepotentialattacksurfaceexpandsexponentially.

Comprehensiveprotection,fromthelowestlevelofIIoT

sensorstothemostadvancedITsystems,iscrucialtoprevent

vulnerabilitiesandcyberthreats.

End-to-EndSecurityinvolvestheimplementationof

preventiveandcorrectivemeasuresatallpointsinthe

convergentnetwork.Thisincludesrobustencryption,

multi-factorauthentication,continuousmonitoring,

andtheapplicationofsecuritypatchesinreal-time.The

incorporationofsecurityplatformsspeci?ctotheintelligent

industry,designedtoaddresstheuniquerisksofIT-OT-IIoT

convergence,becomesvital.

Furthermore,awarenessandtraininginsecuritymustbean

integralpartofcorporateculture.Ongoingeducationabout

currentthreatsandbestsecuritypracticesensuresthat

employeesareequippedtoidentifyandmitigaterisks.

8

ChangeManagement:NavigatingtheWatersofTransformation

TheIT-OT-IIoTconvergenceinvolvesaprofound

transformationinthewaycompaniesoperateand

makedecisions.However,thistransformationisnot

onlyabouttechnology;italsoinvolvesculturaland

processchanges.Therefore,changemanagementis

criticaltosuccess.

1.CulturalChange:Theexistingcorporateculture

canrepresentasigni?cantobstacle.Resistance

tochange,fearofadoptingnewtechnologies,

andalackofunderstandingofpotentialbene?ts

canslowdowntheacceptanceofconvergence.

Thus,creatingaculturethatvaluesinnovation,

adaptability,andcollaborationisessential;

andtransparentcommunicationandactive

participationbybusinessleaderstopromotea

positiveculturalchangeareimperative.

2.TechnologicalChange:Theadoptionofnew

technologiesandtheintegrationofsystemscan

generateresistanceamongteamsthatareused

tooperatingindependently.Adequatetraining

andademonstrationofthetangiblebene?tsof

convergencewillhelpovercometechnological

resistance.Therefore,creatingmultidisciplinary

teamsthatfostercollaborationbetweenITand

OTdepartmentsisessential.

3.ProcessChange:Theconvergenceproject

impactsexistingbusinessprocesses,fromthe

supplychaintoassetmanagement.Rede?ning

andoptimizingtheseprocessestofullyleverage

theconvergenceisacriticalchallenge.Identifying

keyprocessesforconvergence,detailedplanning,

andgradualimplementationwillfacilitatethe

transition.Changemanagementmustbea

continuousprocess,adaptingastheconvergence

unfoldsandevolves.Involvingemployeesinthe

decision-makingprocess,providingongoing

training,andcelebratingsuccessesalongtheway

aree?ectivestrategiestomitigateresistanceand

fostertheacceptanceofthistransformation.

9

SuccessfullyDeploying

IT-OT-IIoTConvergenceinthe

IntelligentIndustry:

AnAgileandIterative

Methodology

ToensurethesuccessfuldeploymentofIT-OT-IIoTconvergence,itisimperativetoadopt

anagileanditerativedeploymentmethodologycenteredontangibleresults,knownas

‘Assess,Build,Scale,andRun’(ABSR).

Assess:Build:Scale:

TheinitialAssessphaseofthe

ABSRmethodologyinvolves

athoroughassessment

ofthecurrentneedsand

capabilitiesoftheenterprise.

Thisstageincludesan

auditofexistingITand

OTsystems,identifying

areasforimprovementand

potentialIIoTintegrations.

Tofullyunderstandbusiness

goalsandimprovement

opportunities,active

stakeholderparticipation-

frombusinessleaderstoIT

andOTteams-iscrucial.

TheBuildphaseinvolvesthe

implementationofprioritized

usecases,basedontheir

impactandpotentialbene?t

inaproductionenvironment.

Thisshouldbedoneiteratively,

startingwithaproofofvalue

(PoV)orproofofconcept

(PoC),apilotdeploymentona

smallscale,andthengradual

expansionasresultsare

validated.

Duringthisphase,close

collaborationbetweenIT

andOTteamsisessential.

Systeminteroperability,

IIoTdevicecon?guration,

andtheintegrationof

cloudandAIplatformsare

carriedoutiteratively.The

agilemethodologycanbe

particularlyusefulinthisphase,

asitallowscompaniesto

quicklyadapttochangesand

continuouslyimprovethrough

fastfeedbackcycles.

TheScalephase

involvesextendingthe

implementationtoalarger

scale.Thismayinvolve

integratingmoreIIoT

devices,expandingtomore

areasofthecompany,or

implementingmoreuse

cases.Duringthisphase,it

isimportanttoensurethat

theITandOTinfrastructure

cansupporttheincreased

scaleandmaintainsecurity

andperformancelevels.

Theagilemethodology

continuestobeakey

componentinthisphase,as

teamscanquicklyadaptto

changesandre?nements

basedoncontinuous

feedback.The?exibilityto

adjustthescalingstrategy

accordingtoemerging

needsensuresthatthe

convergenceevolvesin

alignmentwithconstantly

changingbusiness

objectives.

10

Run:

TheRunphaseofoperation,support,andmaintenancemarks

thetransitionfromdeploymenttoacontinuousoperational

state.Here,theIT-OT-IIoTconvergenceisfullyintegratedinto

thedailyoperationsofthecompany.The‘Run’phaseaddresses

thefollowing:

AdoptingtheABSR

methodologywithanagile

anditerativeperspective

Operation:

?Continuousmonitoringofsystemsandprocesses.

?Ensuringavailabilityandoptimalperformanceof

theplatform.

SupportandMaintenance:

?Quickresolutionofproblemsanderrors.

?Regularupdatingandpatchingofsystems.

?EnsuringongoingcompatibilitybetweenITand

OTsystems.

FinOps(FinancialOperations):

notonlyensuresasuccessful

deploymentofIT-OT-IIoT

convergence,butalsolaysthe

foundationforsustainable

operationandcontinuous

innovation.

Theinherent?exibilityof

thismethodologyallows

?E?cientmanagementofcostsassociated

withconvergence.

?Continuousoptimizationofcloudand

hardwareresources.

companiestofacechanging

challengeswithagility,fully

leveragingthetransformative

bene?tsofIT-OT-IIoTContinuousInnovation:

?Identi?cationandprioritizationofnewuse

caseopportunities.

?Iterativeimplementationofnewfunctionalitiesand

emergingtechnologies.

convergence.

11

TheNeedtoIntegrate

andComplementIT-OT-

IIoTConvergencewith

theCloudandAI/ML

TheintegrationandcomplementarityofIT-OT-IIoTconvergencewiththe

cloudandArti?cialIntelligence/MachineLearning(AI/ML)aren’toptional

-theyareanecessityforcompaniesseekingtoremaincompetitiveinthe

digitalage.Thiscombinationo?ersaseriesofbene?tsthatgobeyond

whateachtechnologycanprovideonitsown.

12

IncreasedScalability

Integratingwithcloudcomputing

increasesacompany’sabilityto

managethelargevolumesofdata

generatedbyIIoT,whichwouldnot

bepossibleatalocallevel.Cloud

computing,byprovidingscalable

resourcesandmanagedservices,

eliminatescapacitylimitationsand

allowscompaniestoadapttothe

increasingcomplexityandscaleof

operations.The?exibilitytoscale

resourcesaccordingtodemandand

thereductionofrelianceonlocal

infrastructurefacilitateane?cient

andcost-e?ectiveimplementation.

InnovationandDevelopment

ofNewServices

ThecombinationofIT-OT-IIoT,

cloud,andAI/MLcanfacilitate

innovationandthedevelopment

ofnewservices.Forexample,

companiescanusedatafrom

IIoTandAItodevelopnewdata-

basedservices,suchaspredictive

maintenanceservicesorothers

thatenhanceenergye?ciency.

ImprovedAnalytical

Capabilities

Integrationwiththecloudand

AI/MLsigni?cantlyenhancesthe

abilitytoanalyzedatacollected

byIIoTdevices.Usingadvanced

algorithms,AIidenti?espatterns,

trends,andcorrelationsinthe

data,givingcompaniesadeeper

andmoreproactiveunderstanding

oftheiroperations.Machine

learningcomplementsthis

approachbyallowingsystemsto

evolveandcontinuouslyimprove

astheyareexposedtomoredata

andexperiences.Thisnotonly

optimizesoperationale?ciency,

butalsodrivesinnovationand

theabilitytoadapttochanging

scenarios.

ImprovedSecurity

IntegrationwiththecloudandAI/

MLcanalsoimprovethesecurity

ofIT-OT-IIoTconvergence.The

cloudcanproviderobustsecurity

measures,suchasdataencryption

anduseranddeviceauthentication.

Additionally,AI/MLcanhelpdetect

andpreventsecuritythreats,by

analyzingbehavioralpatternsand

detectinganomalies.

AutomationandProcess

Optimization

AI/MLcanautomateandoptimize

manyprocessesthatpreviously

requiredhumanintervention.For

example,AIcanusedatafromIIoT

topredictmachineryfailuresand

schedulepreventivemaintenance,

thusimprovinge?ciencyand

reducingcosts.Additionally,AI

canhelptooptimizethesupply

chainbypredictingdemandand

automaticallyadjustinginventory

levels.

InSummary

TheintegrationofIT-OT-IIoT

convergencewiththecloudandAI/

MLareessentialtomaximizethe

bene?tsofthesetechnologies.This

combinationallowscompaniesto

improvetheiranalyticalcapabilities,

automateandoptimizeprocesses,

fosterinnovation,andenhance

security,whichultimatelycan

leadtogreatere?ciencyand

competitiveness.

13

14

Enhancing

Sustainabilitywith

IT-OT-IIoTConvergence

TheconvergenceofIT,OT,andIIoT,complementedbycloudandAI/ML,helps

companiesforgeapathtowardsincreasedsustainability,aswellasmore

environmentallyandeconomicallyresponsibleoperations.Thisisdueto

severalreasons:

EnergyE?ciency

IIoTsensorscancollectreal-time

dataontheenergyconsumption

ofmachinesandproduction

processes.Thisdatacanbe

analyzedinthecloudusingAI/

MLtoidentifypatternsand

opportunitiestoimproveenergy

e?ciency.Forexample,AIcan

predictwhenamachineisabout

tofailandschedulepreventive

maintenance,thusavoidingenergy

waste.

CircularEconomy

TheIT-OT-IIoTconvergencecan

facilitatethetransitiontoacircular

economy,whereresourcesare

keptinuseforaslongaspossible,

maximumvalueisextracted

fromthemwhileinuse,and

thenproductsandmaterialsare

recoveredandregeneratedatthe

endoftheirlifecycle.Forinstance,

IIoTsensorscanbeusedtomonitor

thelifespanofproductsandplan

theirrecoveryandrecycling.

EnvironmentalandSocial

Responsibility

Transparencyinoperations,

drivenbythereal-timevisibilityof

processes,allowscompaniesto

accountfortheirenvironmental

impact.Additionally,

improvementsinworking

conditions,safety,andsupply

chainoptimizationcontribute

tomoreethicalandsocially

responsiblemanagement.

InSummary

WasteReduction

TransparencyandTraceability

IIoTsensorscanmonitor

productionprocessesinreal-time

anddetectanyanomaliesthat

mayresultindefectiveproducts.

Thesedefectiveproductscan

beidenti?edandcorrected

beforetheyreachtheendofthe

productionline,thusreducingthe

wasteofmaterialsandenergy.

IT-OT-IIoTconv