Temperature Processing Apparatus for 3D Coordinate Alignment
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Solution Overview
Problem
Existing temperature monitoring systems face challenges in detecting abnormalities outside the measurement range, particularly with partial fluid leakage, and require subjective interpretation of temperature-distribution images, which reduces accuracy due to variations in image-capturing positions.
Innovation Solution
A temperature processing apparatus and method that aligns three-dimensional model coordinates with image-capturing device coordinates, associating temperature data with surface coordinates of a real object, enabling objective determination of temperature abnormalities and displaying relevant images for analysis.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Area of stationary object
If temperature-distribution images are captured from different positions, then the monitoring coverage is improved, but the association accuracy between temperature data and real object coordinates deteriorates
Solution Approach 1:
The patent transitions from two-dimensional image coordinates to three-dimensional real object coordinates by introducing depth information through camera position and orientation parameters. This dimensional transformation enables accurate association of temperature data with specific locations on the real object regardless of the capturing position, resolving the contradiction between expanded monitoring coverage and maintained association accuracy.
2Extent of automation
If pattern matching is used to associate temperature data with coordinates, then the automation level is improved, but the accuracy deteriorates when image-capturing position varies
Solution Approach 1:
The patent introduces camera parameters (position and orientation) as an intermediary that mediates between the captured image coordinates and the real object coordinates. This intermediary enables automatic and accurate coordinate transformation through mathematical relationships, maintaining high association accuracy while achieving full automation even when capturing positions vary.
3Measurement precision
If subjective determination by experienced personnel is used, then the detection accuracy is improved, but the operational complexity and time consumption increase
Solution Approach 1:
The patent replaces the mechanical system of human expert judgment with an automated computational system. By using objective temperature thresholds and automatic coordinate association algorithms, the system achieves detection accuracy comparable to or exceeding human experts while eliminating operational complexity and time consumption associated with manual analysis.
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
This approach allows for accurate detection and display of temperature abnormalities across different image-capturing positions, enhancing the objective determination and visualization of temperature data, thereby improving monitoring efficiency and reducing subjectivity in interpreting temperature-distribution images.
Implementation Method 1
a temperature-distribution image capturing device 402a that captures a temperature-distribution image 406c
Data Source
AI summary
A temperature processing apparatus according to the present embodiment includes a storage device, and a processor. The processor includes an alignment module, an acquisition module, a processing module, a determination module, and a display processing module. The determination module configured to determine whether the temperature data fits in a first state. The display processing module is configured to display a temperature-distribution image of the temperature data fitting the first state on a display module by mapping the temperature-distribution image of the temperature data fitting the first state on at least either the real-space image or an image of the three-dimensional model, when the determination module determines that the temperature data fits the first state.


