Enclosed-Space Inspection Robot With Digital Mock-Up Navigation
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Solution Overview
Problem
Existing detection robots are not suitable for enclosed spaces like aircraft cargo holds due to limited space and insufficient illumination, leading to inaccurate detection results and reliance on manual inspections.
Innovation Solution
An automatic detection system with a movable platform equipped with an interactive device, environment perceiving device, defect detection device, memory, and processing unit that uses digital mock-up data and learning data to navigate and detect defects, improving accuracy and efficiency.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Extent of automation
If a detection robot is used to move around the aircraft to inspect the appearance of components, then the automation level is improved, but the detection accuracy deteriorates due to limited space and insufficient illumination in enclosed spaces
Solution Approach 1:
The patent introduces an illumination device as an intermediary element to compensate for insufficient lighting in enclosed spaces. The illumination device works in conjunction with the detection camera to enable accurate defect detection in dark environments, thus resolving the contradiction between automation and detection accuracy caused by poor illumination conditions.
Solution Approach 2:
The detection system is segmented into multiple functional modules including environment perceiving device, defect detection device, illumination device, and processing device. This segmentation allows each module to be optimized for its specific function, with the illumination device specifically addressing the lighting problem in enclosed spaces while the detection camera focuses on defect identification.
2Measurement precision
If manual detection is performed by staff members entering the internal space, then the detection accuracy is maintained through checklist-based inspection, but the productivity and efficiency deteriorate due to high workload and time consumption
Solution Approach 1:
The detection system performs self-service by automatically navigating through the enclosed space, capturing images, and processing defect detection without requiring continuous human intervention. The processing device automatically analyzes the captured images and generates detection reports, enabling the system to maintain high detection accuracy while significantly improving productivity compared to manual inspection methods.
Solution Approach 2:
The patent replaces the mechanical manual inspection process with an automated robotic detection system. The robotic platform with integrated sensors and processing capabilities substitutes human operators, eliminating the need for checklist-based manual inspection while maintaining or improving detection accuracy and dramatically increasing detection efficiency.
3Device complexity
If detection robots designed for open spaces are used in enclosed spaces, then the device complexity is reduced, but the adaptability deteriorates due to inability to handle limited space and poor lighting conditions
Solution Approach 1:
The detection robot is designed with multi-functionality to operate in both open and enclosed spaces. The platform integrates environment perceiving devices, defect detection devices, and illumination devices that can adapt to different lighting conditions and spatial constraints, making the robot universally applicable across various inspection scenarios without requiring completely different designs.
Solution Approach 2:
The robot incorporates dynamic adaptation capabilities through its environment perceiving device that can sense and respond to changing environmental conditions. The illumination device can be dynamically activated based on detected light levels, and the navigation system can adapt to spatial constraints, enabling the robot to maintain performance across varying operational environments.
Data Source
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AI summary
The present disclosure relates to an automatic detection system and an automatic detection method for an enclosed space. The automatic detection system includes: an interactive device; a movable platform; an environment perceiving device; a defect detection device; a memory; and a processing device. The processing device is configured to process the environmental data of the environment perceiving device to control the movable platform and the defect detection device, and process the detection data generated by the defect detection device to generate a detection report. The interactive device, the environment perceiving device, the defect detection device, the memory and the processing device are installed on the movable platform, and the interactive device can be operated to identify the enclosed space and enable the automatic detection system to automatically perform detection in an automatic detection mode based on the digital mock-up data of the enclosed space.