Immersive Hazard Training Scenarios Using Digital Twin Simulation
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Solution Overview
Problem
Existing training mechanisms for hazardous events in industrial environments lack the ability to evaluate trainees' understanding of risks and do not provide immersive, real-life scenarios without exposing them to actual hazards, particularly affecting new and experienced workers.
Innovation Solution
A system and method for automatically generating immersive training scenarios in a computer simulated environment using digital twins and a distributed ledger to simulate hazardous events, track worker responses through sensors, and provide rewards or penalties based on actions taken during simulations.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of manufacture
If traditional training mechanisms (presentations, mock drills) are used to train workers on safety hazards, then workers can be made aware of potential risks, but the ability to evaluate trainee understanding and behavior is lost
Solution Approach 1:
The patent creates virtual copies (digital twins) of physical industrial assets and hazards in a simulated environment. These digital replicas allow trainees to interact with hazardous scenarios without real-world risks, while the system captures and evaluates their responses, behaviors, and decision-making processes through sensors and tracking mechanisms.
Solution Approach 2:
The simulated environment acts as an intermediary between traditional training methods and direct hazard exposure. It mediates by providing a controlled virtual space where hazards can be safely replicated and trainee responses can be objectively measured and evaluated without the dangers of real-world exposure.
2Reliability
If live training exercises (mock drills, firefighting training) are conducted to provide real-life experience, then workers gain practical understanding, but they are exposed to actual hazards
Solution Approach 1:
The patent creates virtual copies (digital twins) of physical industrial assets and hazards in a simulated environment. These digital replicas allow trainees to interact with hazardous scenarios without real-world risks, while the system captures and evaluates their responses, behaviors, and decision-making processes through sensors and tracking mechanisms.
Solution Approach 2:
The patent converts the harmful aspect of real hazard exposure into a beneficial virtual experience. By digitally replicating hazardous conditions without the actual danger, the system allows trainees to gain the benefits of real-life experience while eliminating the risks of actual harm, effectively turning a harmful situation into a beneficial training opportunity.
3Manufacturing precision
If custom training scenarios are designed for each specific hazard and machinery, then training accuracy improves, but the complexity and resource requirements increase
Solution Approach 1:
The patent creates a universal simulated training environment that can accommodate multiple different hazards, assets, and scenarios through digital twins. This single multi-functional system can be configured to train on various types of industrial hazards (chemical spills, equipment failures, fires) without requiring separate physical training facilities for each scenario, thereby reducing overall system complexity while maintaining high training accuracy.
Data Source
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AI summary
Disclosed is system (100) and method (400) for automatically generating immersive training scenarios for workers (118-1 to 118-N) in industrial environment for hazardous events in a computer simulated environment (102). The method comprises acquiring, by processing unit (302), information pertaining to operation of assets and related anomalies and hazards in industrial environment for which training scenarios are to be simulated, loading simulation sequence of industrial environment comprising assets (106-1 to 106-N) operating at ideal behavior, wherein simulation sequence executes a first set of tasks on virtual assets (106-1 to 106-N) within ideal behavior, defining one or morse sequence of events that lead to hazardous event in industrial environment based on acquired information, determining second set of tasks to be executed in loaded simulation sequence, simulating second set of tasks in loaded simulation sequence, and generating immersive training scenario in computer simulated environment based on execution of the first set of tasks and the second set of tasks in loaded simulation sequence.