nfoldROI

Creating Digital Twins since 1995

A Digital Twin is a comprehensive virtual model that accurately represents a physical object, system, or process, capable of operating in both static and dynamic modes to support analysis, simulation, and decision-making through the integration of spatial data, historical information, and real-time operational intelligence.

Static Digital Twin (GIS/SAP Integration)

GIS-Based Infrastructure Model with Enterprise Integration: A spatial digital twin containing detailed asset inventories, topographic data, and infrastructure specifications integrated with enterprise business systems for comprehensive asset lifecycle management.

• Comprehensive Mapping: Precise geospatial representation of poles, transformers, pipelines, roads, and buildings
• SAP Asset Management Integration: Links spatial features to SAP Plant Maintenance (PM) work orders, Material Management (MM) inventory, and Financial Accounting (FI) cost centers
• Enterprise Data Synchronization: Bi-directional data flow between GIS and SAP for asset specifications, maintenance histories, procurement records, and financial tracking
• Scenario Analysis: Models flood impacts, development proposals, or capacity planning while incorporating SAP-based cost analysis and resource availability
• Planning Tool: Supports design validation, route optimization, and regulatory compliance analysis with integrated financial modeling and procurement workflows

This static twin provides the foundational spatial framework, historical context, and enterprise business intelligence for comprehensive decision-making and live Digital Twins.

Dynamic Digital Twin (ADMS Example)

Advanced Distribution Management System: A real-time operational digital twin that continuously monitors and manages utility distribution networks.

• Live Data Integration: SCADA sensors, smart meters, and field devices provide continuous operational state updates
• Dynamic Modeling: Real-time load flow analysis, fault detection, and system optimization based on current conditions
• Predictive Operations: Forecasts demand, identifies potential failures, and automatically executes switching operations
• Immediate Response: Enables real-time decision making for outage management and system reconfiguration

Digital Twin Integration with V2X

Digital Twin + V2X creates a bidirectional data flow in which physical infrastructure and vehicles continuously update a virtual representation, while the Digital Twin provides real-time intelligence to connected vehicles and infrastructure.

Infrastructure Layer

• HD maps with sub-centimeter accuracy (our core strength)
• LIDAR-derived 3D models of roads, intersections, buildings
• Real-time sensor data (traffic lights, RSUs, weather stations)
• OpenDRIVE/Lanelet2 format compatibility for autonomous systems

V2X Communication Protocols

• C-V2X (Cellular): Direct vehicle-to-infrastructure (V2I) and vehicle-to-vehicle (V2V)
• DSRC/802.11p: Low-latency broadcast
• 5G network slicing for critical data

Digital Twin Processing

• Real-time asset tracking and state management
• Predictive modeling (traffic flow, congestion, incidents)
• Scenario simulation and validation
• ML-based anomaly detection (using your YOLO expertise)