Infrared Thermal Camera Temperature Calibration via Regression Analysis
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Infrared thermal image cameras face inaccuracies in temperature measurement due to filter configurations, which affect the accuracy of non-contact infrared temperature sensing systems.
Innovation Solution
A temperature calibration method using regression analysis to obtain a calibration function, involving the use of black bodies with preset temperatures and multiple radiation black bodies to calibrate the system, and applying this function to uncalibrated temperatures measured by an array of infrared temperature sensors.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Object-affected harmful factors
If a filter is used to block visible light in the infrared temperature sensing system, then visible light interference is prevented, but the filter configuration affects the accuracy of temperature measurement
Solution Approach 1:
The patent applies parameter changes by introducing a calibration function with multiple parameters (a0, a1, a2, a3) that adjust the temperature measurement based on the relationship between object temperature and ambient temperature. This calibration process modifies the measurement parameters to compensate for the filter's effect, thereby resolving the contradiction between blocking visible light interference and maintaining temperature measurement accuracy
2Object-affected harmful factors
If a filter is configured in the infrared temperature sensing system, then the system can operate without visible light interference, but additional calibration steps are required to achieve accurate measurements
Solution Approach 1:
The patent applies preliminary action by performing calibration measurements at different temperatures before actual use. The system pre-determines the calibration parameters (a0, a1, a2, a3) through regression analysis of measurements taken at various temperature points, storing these parameters for later use. This preliminary calibration process simplifies the actual measurement process, resolving the contradiction between filtering requirements and operational simplicity
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 method significantly increases the accuracy of temperature measurements by calibrating uncalibrated temperatures to calibrated values, improving the overall performance of the infrared thermal image camera and temperature sensing system.
Implementation Method 1
non-contact infrared temperature sensing system
Implementation Method 2
providing a black body with a preset temperature
Data Source
AI summary
A temperature calibration method of an infrared thermal image camera and a calibration method of a temperature sensing system of an infrared thermal image camera are provided. The temperature calibration method of the infrared thermal image camera includes: providing a temperature sensing system to measure an object under test, so as to obtain an uncalibrated temperature; and calibrating the uncalibrated temperature to obtain a calibrated temperature, according to the uncalibrated temperature and a temperature calibration function. The temperature calibration function is obtained through a regression analysis.