XR Semiconductor Process Training With Virtual Equipment Feedback
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Solution Overview
Problem
Traditional training methods for semiconductor manufacturing processes are limited by their reliance on theory-based lectures and lack of practical experience, making it difficult to understand the complexity of the processes and adapt to changes, while using actual equipment is costly and risky.
Innovation Solution
An XR-based training device that recreates a virtual semiconductor manufacturing environment, using sensors and processors to simulate processes, provide interactive feedback, and utilize supervised learning to enhance user proficiency.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If traditional theory-based training methods are used, then training costs are low and equipment risk is avoided, but training effectiveness and practical understanding are insufficient
Solution Approach 1:
The patent creates a virtual copy of the semiconductor manufacturing environment using XR technology. The system reproduces equipment interfaces, process parameters, and operational procedures in a virtual space that mirrors the real manufacturing floor, allowing trainees to practice without physical equipment while maintaining high training effectiveness
Solution Approach 2:
The XR-based training system acts as an intermediary between theoretical knowledge and actual equipment operation. It provides a middle ground where trainees can develop practical skills through virtual simulations before transitioning to real equipment, reducing both training costs and equipment risk
2Ease of operation
If actual process equipment is used for training, then practical skill development is improved, but training costs increase and equipment risk increases
Solution Approach 1:
The system creates accurate virtual replicas of semiconductor manufacturing equipment and processes. Trainees interact with virtual equipment that replicates real equipment interfaces, controls, and operational workflows, enabling practical skill development without incurring equipment wear, maintenance costs, or operational risks
Solution Approach 2:
The virtual training environment replaces expensive physical equipment with cost-effective digital simulations. The system can be reset and reconfigured easily, eliminating the high costs associated with physical equipment usage, maintenance, and potential damage during training activities
3Adaptability or versatility
If traditional training methods are used, then training program stability is maintained, but adaptability to process changes is poor
Solution Approach 1:
The XR training system is designed to be dynamically updateable. When manufacturing processes or equipment are modified in the real facility, the virtual environment can be quickly adjusted to reflect these changes, ensuring training content remains current without requiring complete program redesign
Solution Approach 2:
The virtual training platform serves multiple functions: it can simulate different equipment configurations, process parameters, and operational scenarios within a single system. This multi-functionality allows the training program to adapt to various process changes without requiring separate physical equipment for each scenario
Data Source
AI summary
An XR-based semiconductor manufacturing process training device according to an embodiment of the present invention is configured to determine set values for parameters based on user input data, identify the spec data to which the set values belong among at least one spec data corresponding to the parameters defined in each manufacturing process, assign weights corresponding to the spec data to the set values, and calculate and display final data based on the first motion information and the weighted set values.