DIGITAL FIELD SERVICES
Automated analysis of gas turbine borescope inspections using AI for defect detection.
Problem: Time-consuming, subjective manual inspections risk missing defects.
Solution: AI software analyzes images/videos, detects, classifies, reports defects.
Key Benefits:
Feasibility:
Using Autonomous Mobile Robots (AMRs) for automated inspection and data collection.
Problem: Repetitive tasks, hazardous environments, inconsistent data impact safety & efficiency.
Solution: Deploy AI-assisted AMRs (e.g., ANYmal) integrated with SAP FSM/PM.
Key Benefits:
Feasibility:
Unified, AI-powered access to fragmented enterprise knowledge across multiple systems.
Problem: Siloed data (LL, service, EHS, etc.) in Enablon, SRC, SAP FSM, Salesforce hinders efficient access & knowledge reuse.
Solution: Central AI hub with natural language interface for secure, role-aware retrieval from diverse sources.
Key Benefits (Internal):
Feasibility (In-House / Vendor Path):
In-House (SEnsAI):
Vendor Path (Rec.):
Initial pilots, technology validation, SAP integration PoC phase.
Est. Deployment: Pilot (9-18m), Scaled (3-5y)
Vendor evaluation/POC phase, focus on secure integration & RBAC.
Est. Deployment: POC (6-9m), Pilot (1-2y), Scaled (3-5y)
Pilot deployment, validation, system integration, initial rollout.
Est. Deployment: Pilot (6-12m), Scaled (2-3y)
The following initiatives present opportunities to create value-added services for Siemens Energy customers, shifting towards data-driven, technology-enabled partnerships.
Offer automated borescope analysis as a standalone service or bundled with LTSAs.
Potential Models:
Customer Value:
Deploy AMRs at customer sites for automated inspections and monitoring.
Potential Models:
Customer Value: