Moving Object Inspection Using Virtual Device Models
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Solution Overview
Problem
Conventional inspection systems for moving objects, such as vehicles, cannot accurately determine whether detected abnormalities are due to the object being inspected or the inspection device itself, leading to potential misidentification of the cause and inefficiencies in maintenance.
Innovation Solution
An inspection method involving multiple moving objects, where a moving object is instructed to achieve a predetermined target value, and subsequent inspections are conducted to determine if the difference between the target and measured values falls within specific ranges, allowing for differentiation between object and device abnormalities through unmanned driving and continuous inspection.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If conventional inspection devices are used to detect abnormalities in moving objects, then inspection can be performed, but it is impossible to determine whether the cause of abnormality is the moving object or the inspection device itself
Solution Approach 1:
The patent creates a virtual model (digital twin) of the inspection device that replicates its measurement characteristics. By comparing actual inspection results with simulated results from the virtual model, the system can identify whether abnormalities stem from the moving object or the inspection device, thereby preserving cause identification information while maintaining detection accuracy.
Solution Approach 2:
The patent introduces a virtual model as an intermediary between the inspection device and the moving object. This virtual model serves as a reference that mediates the comparison process, enabling the system to distinguish between object-related and device-related abnormalities without directly compromising the inspection measurement precision.
2Loss of information
If multiple moving objects are inspected to determine abnormality causes, then cause identification improves, but inspection time and productivity are reduced
Solution Approach 1:
The patent performs preliminary actions by creating and storing virtual models of inspection devices before actual inspections. These pre-established virtual models enable rapid comparison during inspections, allowing cause identification without requiring extensive additional inspection time on multiple moving objects.
Solution Approach 2:
By creating virtual copies of inspection devices and their expected performance characteristics, the system can rapidly compare actual measurements against simulated expectations. This copying approach enables efficient cause identification without requiring prolonged inspection of multiple physical objects, thus reducing inspection time loss.
3Productivity
If conventional inspection methods are used, then inspection can be completed quickly, but abnormalities may be misidentified leading to unnecessary repairs or missed issues
Solution Approach 1:
The patent uses virtual models as accurate copies of inspection device behavior to verify abnormality detections. This copying mechanism maintains high inspection efficiency while improving reliability by providing a reference framework that prevents both false positives and false negatives in abnormality identification.
Solution Approach 2:
The system implements feedback by continuously comparing actual inspection results with virtual model predictions. This feedback loop maintains high productivity by enabling rapid verification while improving reliability through iterative validation that reduces misidentification of abnormalities.
Data Source
AI summary
A method of inspecting a moving object includes: a first step instructing a moving object as an inspection target to drive the moving object so an output relating to moving the moving object becomes a predetermined target value; a second step measuring the output and acquiring a measured value using a moving object inspection device; a subsequent inspection step of performing the first and second steps on moving objects different from the moving object as the inspection target when a difference between the target and measured values is not within a predetermined first range; and a third step outputting information indicating abnormality in the moving object as the inspection target when the difference between the target and measured values is within a predetermined second range in the moving objects of a predetermined number equal to or greater than two among the moving objects from the subsequent inspection step.