Real-Time Digital Twin Synchronization & Operational Intelligence
Project TwinWeaveOps
Client:
NDA-protected enterprise
Duration:
8 months
Team:
3 software engineers, 1 data engineer, 1 systems architect
The Problem
The organization needed a unified method to synchronize live telemetry, simulation outputs, and operational dashboards to support decision-making.
What We Did
Developed a real-time ingestion system, synchronized physical and simulated asset states, integrated prediction pipelines, and exposed APIs for internal tools.
Outcome
Sub-second state synchronization, improved cross-team visibility, and the ability to evaluate scenarios before impacting real operations.
Operational Impact
Unified operational views. Real-time state tracking. Predictive scenario evaluation.
Key Challenges
1
Multi-Source Data Fusion
Aligning heterogeneous telemetry streams into a single synchronized state.
2
Predictive Loop Stability
Ensuring predictions could run continuously without drift.
What Made This Work
Real-Time Synchronization Engine
Sub-second state updates across physical and simulated assets.
Modular Orchestration Layer
Flexible integration with simulation modules and analytics tools.
Multi-Source Data Fusion
Heterogeneous telemetry stream alignment and normalization.