Virtual Training Content Collision Mapping for 3DCG Parts
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Solution Overview
Problem
Existing training content for maintenance work of industrial products fails to accurately represent collisions between 3DCG objects without allowing deformation, leading to discrepancies between virtual and real-world scenarios, which impairs training significance.
Innovation Solution
A training content creation system that includes a storer, content creator, scenario analyzer, and collision detector to manage colliding 3DCG objects by storing part operation and arrangement information, analyzing scenarios, and registering collision parts in the part arrangement file.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If collision deformation is applied to 3DCG objects in training content, then collision realism is improved, but object integrity is worsened
Solution Approach 1:
The system segments the collision detection and response process into distinct phases: detection of collision occurrence, identification of collision parts, and registration of collision relationships. This segmentation allows collision effects to be applied only to specific colliding parts rather than deforming entire 3DCG objects, maintaining object integrity while achieving collision realism.
Solution Approach 2:
The patent applies collision effects locally to specific colliding parts identified through scenario analysis, rather than applying global deformation to entire 3DCG objects. The collision detector identifies specific parts that collide, and only those parts receive collision handling, preserving the integrity of non-colliding objects while maintaining realism at collision points.
2Measurement precision
If manual collision configuration is performed in training content creation, then collision accuracy is improved, but content creation complexity is worsened
Solution Approach 1:
The system enables automatic collision detection and configuration through scenario analysis. The collision detector automatically analyzes the training content scenario, identifies colliding parts, and configures collision relationships without requiring manual intervention. This self-service approach maintains collision accuracy while dramatically reducing content creation complexity.
Solution Approach 2:
The patent performs collision detection and part identification in advance during the content creation phase, before the training content is executed. The scenario analyzer pre-processes the training scenario to identify all potential collision relationships, storing this information for efficient runtime collision handling. This preliminary action ensures collision accuracy while simplifying the content creation process.
3Speed
If collision detection is performed without scenario analysis, then detection speed is improved, but collision accuracy is worsened
Solution Approach 1:
The system performs scenario analysis in advance to pre-identify collision relationships and store this information in a structured format. During runtime, the collision detector simply retrieves pre-computed collision data rather than performing complex real-time analysis, achieving both high detection speed and accurate collision identification.
Solution Approach 2:
The patent segments the collision detection process into an offline scenario analysis phase and an online detection phase. The scenario analyzer performs comprehensive analysis offline to identify all collision relationships, while the collision detector executes simple lookups during runtime. This segmentation enables accurate collision detection without compromising speed.
Data Source
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AI summary
A training content creation system (1) displays, on a display, an object of a device arranged in a virtual space to create a training content for training work for the device. A collision detection program (163) identifies, based on an analysis result of a scenario, a second part that collides with a first part among a plurality of parts. A content creation program (161) registers, in a part arrangement file of the first part, the second part identified to collide with the first part.