Dual-Field Radiation Thermometry for Background Interference Removal
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Solution Overview
Problem
Existing radiation thermometers struggle to accurately measure the temperature of a target region when non-target objects are present in the measurement visual field, either overlapping or emitting infrared rays that interfere with the measurement, leading to errors due to temporal changes in temperature or positional gradients.
Innovation Solution
The use of two infrared detectors with different measurement visual fields and configurations, such as varying viewing angles, distances, or detectable wavelength bands, to detect and calculate the temperature of the target region by canceling out the effects of non-target objects, ensuring accurate temperature measurement.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Device complexity
If a single infrared detector is used to measure temperature, then the device is simple, but measurement accuracy deteriorates when non-target objects are present in the measurement visual field
Solution Approach 1:
The measurement task is segmented into multiple detection channels by using two infrared detectors with different measurement visual fields. One detector captures infrared rays from both the target and non-target objects, while the other captures primarily from the target region. This segmentation allows the system to separate and independently analyze signals from different sources, enabling accurate temperature measurement of the target region even when non-target objects are present.
2Measurement precision
If the measurement visual field is narrowed to include only the target region, then measurement accuracy improves, but the method cannot meet demands when the target region is very small or at the bottom of a deep hole
Solution Approach 1:
The system applies local quality by giving each infrared detector a specific functional characteristic: one detector is configured with a measurement visual field that includes both target and non-target regions, while the other is configured to measure primarily the target region. This differentiation in local measurement capabilities allows the system to maintain accuracy for small or distant targets while still being able to handle various measurement scenarios through differential calculation.
3Adaptability or versatility
If measurement is performed when non-target objects are present in the background, then the device can operate in various conditions, but measurement accuracy deteriorates due to infrared rays from non-target objects
Solution Approach 1:
The system converts the harmful effect of non-target objects emitting infrared rays into a beneficial measurement capability. By using two detectors with different visual fields, the system captures the interference signals from non-target objects and uses differential calculation to eliminate their effect. This approach transforms the presence of non-target objects from a source of error into an opportunity for enhanced measurement robustness, allowing accurate temperature measurement even when non-target objects are present in the background.
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
The proposed solution allows for precise temperature measurement of the target region by eliminating the influence of non-target objects, regardless of their temperature changes or positional gradients, thereby enhancing measurement accuracy.
Implementation Method 1
a radiation thermometer according to the present invention measures a temperature of a measurement target region in an object by infrared rays emitted from the measurement target region
Data Source
AI summary
A radiation thermometer includes two infrared detectors and a temperature calculator. The infrared detectors each have a predetermined measurement visual field and detect the amount of infrared rays incident from the measurement visual field. The temperature calculator calculates the temperature of a measurement target region based on the amounts of infrared rays detected by the respective infrared detectors. The measurement target region is included in the measurement visual fields of the respective infrared detectors, and the sizes of the respective measurement visual fields are set to be different from each other with respect to the measurement target region.


