Online network temperature-measuring thermal imager calibration method

Abstract

The invention relates to an online network temperature-measuring thermal imager calibration method, in particular to a calibration method for temperature measurement of a thermal imager in engineering application. The online network temperature-measuring thermal imager calibration method is characterized by comprising the following steps: fusing major factors influencing the temperature measuring accuracy of a temperature-measuring thermal imager into a calibration process flow; decomposing the influence factors into independent parameters which can be determined respectively through an engineering measuring method in a laboratory; establishing a calibrated mathematical model according to a temperature measuring theory; determining a specific calibration implementation method by using the mathematical model. According to the online network temperature-measuring thermal imager calibration method, the major factors influencing the temperature measuring accuracy of the temperature-measuring thermal imager are fused into the calibration process flow, the influence factors are decomposed into independent parameters which can be determined respectively through the engineering measuring method in the laboratory, the calibrated mathematical model is established according to the temperature measuring theory, and considered compensation factors are close to a practical application environment during calibration, so that the accuracy of a temperature measuring result is high.

Description

technical field [0001] The invention relates to the technical field of non-contact temperature measurement and measurement, in particular to a calibration method for temperature measurement of a thermal imager for engineering applications. Background technique [0002] The temperature measurement of the thermal imager is a non-contact temperature measurement, which has a wide temperature measurement range, fast response, high sensitivity, high spatial resolution, does not need to achieve thermal equilibrium with the target object, does not affect the temperature distribution of the target, and can detect some things that cannot Features such as objects to be touched or forbidden to touch. Widely used in power industry, microelectronics industry, forest fire warning, fault diagnosis and other industries. [0003] According to Planck's distribution law, objects with a temperature above absolute zero produce infrared radiation. The temperature measurement of the thermal image...

AI Technical Summary

Problems solved by technology

[0006] What the present invention aims to solve is the problem that the temperature-measuring thermal imager is greatly affected by the actual environment and the accuracy of temperature measurement is low. Combining with the theo

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