Augmented Reality Repair System for Composite Structures
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Solution Overview
Problem
Current methods for evaluating damage and developing repair scenarios in production environments rely on two-dimensional documentation, which is inadequate for composite structures, leading to difficulties in identifying repair locations and accessing maintenance and repair history effectively.
Innovation Solution
A data processing system comprising a processor unit, sensor system, and user interface that captures and aligns physical and digital data to generate a multi-dimensional representation, enabling augmented reality for accurate repair processes.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If two-dimensional documentation and generalized procedures are used for damage evaluation, then the system is simple and easy to operate, but the ability to accurately identify repair locations and access maintenance history is insufficient
Solution Approach 1:
The patent transitions from two-dimensional documentation to three-dimensional augmented reality visualization. The system overlays digital maintenance history and repair information directly onto the physical composite structure, allowing users to view repair locations and historical data in the context of the actual object rather than on separate 2D documents.
Solution Approach 2:
The patent introduces a portable computing device as an intermediary between the physical composite structure and the user. This device captures images of the structure, processes them through image recognition algorithms, and presents augmented reality information, serving as a mediator that bridges the gap between physical inspection and digital information.
2Productivity
If comprehensive digital data and image recognition are integrated, then repair accuracy and efficiency are enhanced, but the device complexity and processing requirements increase
Solution Approach 1:
The system performs preliminary actions by capturing and storing comprehensive digital data about the composite structure before repair is needed. Image recognition algorithms pre-process and analyze the structural data, creating a digital twin that can be quickly queried during inspection without requiring complex real-time processing during the actual repair task.
Solution Approach 2:
The portable computing device performs self-service by automatically capturing images, running image recognition algorithms, and generating augmented reality overlays without requiring external processing equipment. The device independently handles the entire workflow from data capture to information presentation, reducing the need for complex centralized processing systems.
Data Source
AI summary
The different advantageous embodiments provide a system comprising a processor unit, a sensor system, and a user interface. The processor unit is configured to execute a data manipulation process. The sensor system is configured to retrieve physical data about a number of physical objects. The user interface has data manipulation controls for the data manipulation process.