3D Displacement Image Analysis for Bearing Soundness
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Solution Overview
Problem
Existing methods for determining the soundness of supporting members in structures, such as bearings, often require physical proximity and the use of aerial work vehicles, leading to safety and cost concerns, while existing image-based solutions struggle to directly assess the soundness of supporting members.
Innovation Solution
An information processing device and system that calculates three-dimensional displacements from time-series images to estimate the motion of supporting members, allowing for the determination of their soundness without the need for physical proximity or contact sensors.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If contact sensors are mounted on the bearing to determine soundness, then measurement precision is improved, but device complexity and cost increase due to requiring aerial work vehicles and sensor installation
Solution Approach 1:
The patent uses image capture devices to create visual copies of the bearing and surrounding structure, then analyzes these images to determine bearing soundness. Instead of mounting physical sensors on the bearing, the system captures images from accessible locations and processes them to extract bearing condition information, eliminating the need for complex sensor installation while maintaining measurement capability
Solution Approach 2:
The patent replaces the mechanical contact sensor system with an optical imaging system. By using image capture devices to photograph the bearing and structure, then analyzing displacement and motion from these images, the system substitutes mechanical measurement with optical measurement, reducing the need for physical sensor mounting on the bearing itself
2Measurement precision
If aerial work vehicles are used to access the bearing for inspection, then measurement precision is improved, but safety and operational cost worsen
Solution Approach 1:
The system captures images of the bearing and surrounding structure using image capture devices positioned at accessible locations. These visual copies are then analyzed through image processing to determine bearing soundness, eliminating the need for workers to physically access dangerous locations while maintaining the ability to assess bearing condition
Solution Approach 2:
The patent introduces image capture devices and image processing algorithms as intermediaries between the inspector and the bearing. Instead of direct visual inspection requiring worker proximity to the bearing, the system uses images as an intermediary medium to transmit bearing condition information to analysts working from safe, accessible locations
3Device complexity
If time-series images are used to calculate displacement, then device complexity is reduced, but the ability to directly capture supporting member motion is limited
Solution Approach 1:
The patent segments the image analysis process into distinct functional components: displacement calculation unit that processes time-series images to extract displacement information, and motion estimation unit that specifically estimates supporting member motion from this displacement data. This segmentation allows the system to recover supporting member motion information through systematic processing of general displacement data
Solution Approach 2:
The patent transitions from direct one-dimensional measurement of bearing motion to multi-dimensional image data analysis. By capturing two-dimensional or three-dimensional images of the bearing and surrounding structure across multiple time points, then processing this spatial-temporal data, the system recovers motion information in the dimension of interest through mathematical relationships between different spatial dimensions
Data Source
AI summary
An information processing device includes a displacement calculation means and a motion estimation means. The displacement calculation means acquires time-series images obtained by capturing images of a measurement target region of a structure supported by a supporting member. The displacement calculation means calculates a three-dimensional displacement of the measurement target region from the acquired time-series images. The motion estimation means estimates a motion of the supporting member in the structure based on the three-dimensional displacement of the measurement target region.