Abstract
The calibration accuracy of the infrared temperature measurement system near room temperature field is easily affected by the calibration environment. In this paper, an equivalent blackbody calibration method is proposed for this problem. In this method, the target radiation and ambient radiation superimposed in calibration data are separated by two calibration functions at different ambient temperatures, and an equivalent blackbody calibration function is constructed. The experimental verification of the proposed method is carried out, and the results show that the proposed method has a better calibration effect for the surface blackbody than the commonly used environmental compensation methods. This method can effectively improve the calibration accuracy of infrared temperature measurement system near room temperature field, and further improve the infrared temperature measurement theory.
Highlights
The spectral detection technology has the advantages of fast response, high sensitivity, and high resistance to electromagnetic noise [1], including TDLAS [2], CARS [3], QEPAS [4], QEPTS [5], THz [6], photoacoustic spectrum [7], infrared temperature measurement technology [8] and et al Among them, infrared temperature measurement technology is widely used for non-contact temperature measurement in military, industrial, agricultural, biological, and other fields
If the target temperature is close to the ambient temperature, or even lower than the ambient temperature, the calibration accuracy is affected by the ambient
Because the error caused by the ambient temperature is far greater than that caused by the nonlinearity and random noise of calibration data, the signs of errors obtained by the conventional calibration method show obvious regularity with the calibration ambient temperature as the dividing line
Summary
The spectral detection technology has the advantages of fast response, high sensitivity, and high resistance to electromagnetic noise [1], including TDLAS [2], CARS [3], QEPAS [4], QEPTS [5], THz [6], photoacoustic spectrum [7], infrared temperature measurement technology [8] and et al Among them, infrared temperature measurement technology is widely used for non-contact temperature measurement in military, industrial, agricultural, biological, and other fields. Calibration is very important for infrared temperature measurement technology. In 2004, NIST held calibration and intercomparison of infrared radiometers [12]. The ambient impact of some blackbodies used in the laboratory had been calibrated by the National Institute of Standards and Technology (NIST) Thermal-infrared Transfer Radiometer (TXR), and the blackbodies calibration results can be used for subsequent ambient compensation. In 2011, Barry T et al presents a self-calibration technique for the removal of measurement errors caused by thermal gradients in thermopile-based infrared thermometry [14, 15]. In 2012, Dai Y et al developed a surface blackbody for low-temperature infrared calibration, and calculated the ambient compensation value required when using this blackbody for calibration [16]. In 2020, Zhang Z Q et al explained the compensation method that takes into account the calibration error introduced by the blackbody emissivity and ambient temperature, and illustrated the difference of calibration curves before and after compensation with examples [17]
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