Digital Twin Integration
Description
VIRA™ Predict uses Digital Twin simulation to create a real-time procedural model of how high-risk electrical work is expected to unfold — before the first volt flows.
Our platform dynamically maps commissioning sequences, MOPs, and LOTO workflows to expected field execution. These simulated task paths form the baseline that our AI engine continuously compares to real-time telemetry, enabling predictive deviation detection and intelligent intervention.
Whether it’s verifying test sequences in Level 3–5 commissioning, simulating energization logic, or flagging LOTO bypass risk — our Digital Twin layer acts as the brain behind VIRA™ Predict’s real-time governance.
We generate a procedural blueprint of Method of Procedure (MOP), Lockout/Tagout steps, and switching logic directly from user workflows or imported sequences.
Our Digital Twin is not passive — it synchronizes with IoT data and user inputs to monitor deviations in real time.
By comparing actual execution to the simulated ideal, we can detect skipped steps, out-of-order execution, or unsanctioned energization.
The simulated path integrates directly with the AI engine, triggering governance decisions like escalation alerts, stop work actions, and RCA tagging.
Get Answers to Common Questions About VIRA™ Predict’s Digital Twin Integration
Explore key questions around how our Digital Twin technology simulates high-risk electrical workflows, supports commissioning integrity, and enables predictive safety oversight. If you have additional questions, feel free to reach out to our team directly for a tailored walkthrough.
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