整合 GIS、BIM、PMI 和 EAM 的统一 AI 驱动框架.pdf

1、Breaking Down SilosHOW AI AGENTS UNIFY GIS,BIM,PMIS&EAM TO AUTOMATE WORKFLOWS,SURFACE INSIGHTS&TRANSFORM DECISION-MAKINGWhat Well CoverThe Problem Why silos oninfrastructure projectscost billions by slowingdecision making What the varioussystems do and wherethey failThe Solution How Intelligent agen

2、tsbridge the gap acrosssiloed systems How it deliveredmeasurable outcomesin real world scenariosNext Steps Where to start,whatto avoid,and whatcomes nextThe Infrastructure Data CrisisDisconnected systems are silently draining project value,delaying decisions,and multiplying risk90%of major infrastru

3、ctureprojects experiencecost over runs1$1.8Twasted globally eachyear due toinaccurate,incomplete oruntimely information273%of infrastructureorganizationsmaintain 3+systemswith no automatedintegration335%daily average time engineers spend manually reconciling data across systems21.McKinsey Global Ins

4、titute Report2.Autodesk and FMI Report,20213.Gartner,2024The Fragmented RealityA capital project mobilizes and damages an unmapped utilitybecause the EAM failure log wasnt cross-referenced with the GISA maintenance team is dispatched to an asset that a PMIS projecthas already scheduled for replaceme

5、nt next monthA readiness report shows green on schedule while GIS and PMISdata reveal risks have not been fully mitigatedEAM team updates asset location;GIS still shows old coordinatesMaintenance team cant find the right drawing version in BIMThe Downstream ImpactDelayed Decisions:Leaders lack real-

6、time integrated insightReworks Costs:Errors propagate across systems undetectedCompliance Risk:Audit trails fragmented across systemsInherent Inefficiency:Skilled staff spend 35%+time on datamanagementMissed Deadlines:Coordination gaps cascade into scheduleslippageThe Systems of RecordGISGeographic