Key Challenges & Solutions
1.Replicating complex industrial machinery and energy isolation points in a virtual environment.
Solution: Leveraged the power of Unreal Engine to build high-fidelity, interactive 3D models of industrial machines. The team used Twinmotion for quick iterations, ensuring realistic environments and smooth user interactions.
2.Providing error-based learning where mistakes are safely allowed to reinforce training.
Solution: Developed a dynamic feedback system within the simulation that allows trainees to make errors (such as failing to isolate energy properly) and receive instant corrective feedback. This approach ensures deeper learning and helps users avoid similar mistakes in real-world scenarios.
3.Ensuring the training is engaging and intuitive without needing a physical trainer.
Solution: Designed an easy-to-navigate, self-paced simulation interface. Detailed instructions and real-time feedback were incorporated to guide users through the LOTO steps without requiring external supervision.