Infrared temperature measurement method based on response rate correction

Abstract

The application provides an infrared temperature measurement method based on response rate correction, comprising the following steps: S1, calibrating the relationship between temperature and radiant energy at different thermostat temperatures in a laboratory through an offline calibration method; S2, obtaining the change of focal temperature caused by the change of ambient temperature based on the relationship between temperature and radiant energy calibrated in the laboratory, so as to cause the difference of response rate, the response value measured by the same temperature target radiation is also different, and the measured temperature is inaccurate; S3, calibrating the actual response rate characteristics of the infrared temperature measurement instrument at different focal temperatures, so as to obtain the discrete relationship between response rate and focal temperature; and S4, taking the response rate corresponding to a certain focal temperature as a reference, linearly correcting the response rate in the focal temperature change interval and mapping to the reference response rate, so that the infrared temperature measurement instrument maintains consistent detection stability and accuracy.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of infrared temperature measurement, in particular to an infrared temperature measurement method based on response rate correction. BACKGROUND

[0002] The existing infrared temperature measurement method is to deploy a constant temperature black body as a temperature calibration source on the temperature measurement site, use the same environmental radiation of the target to be measured and the constant temperature black body to the temperature measuring instrument, receive the difference between the radiation energy of the target to be measured and the constant temperature black body, and calculate the real-time temperature of the target to be measured through the temperature of the temperature calibration source and the response rate.

[0003] Some human body infrared temperature measuring instruments do not deploy a constant temperature black body as a temperature calibration source on the site, but calibrate the relationship between the black body target radiation energy and the temperature of multiple temperature points in advance in the laboratory, and obtain the theoretical relationship curve between the black body radiation energy and the temperature through related fitting as shown in Figure 1 When measuring the temperature of the actual target, the radiation energy value of the target to be measured is received and converted and calculated through the temperature curve to obtain the actual temperature of the target to be measured.

[0004] The above-mentioned temperature measurement methods can be applied in actual engineering, but after the temperature measuring instrument is cold started or restarted after power failure, the focal plane temperature of the temperature measuring detector inside the temperature measuring instrument does not reach thermal equilibrium for a period of time, that is, the temperature of the focal plane is not stable, and the above-mentioned temperature measurement methods cannot accurately measure the temperature of the target under the condition that the focal temperature is unstable, which affects the temperature measurement precision and accuracy in the whole temperature measurement process. A significant feature of the non-refrigeration long-wave infrared detector is that the response rate of the detector to the target detection changes with the focal temperature, especially the environmental factors such as environmental temperature, humidity, air flow, wind direction, etc. cause the fluctuation of the focal temperature, resulting in the change of the output response rate. Here, the change depends on the manufacturing process of the detector manufacturer, the detection material, the packaging type, whether it has a TEC cooler, etc. The change of the response rate leads to the change of the output response value after receiving the radiation energy, which directly affects the temperature measurement data.

[0005] Patent document CN112067138A (application number: 202010942723.9) discloses an infrared detector temperature measurement and calibration method and a temperature measurement and calibration device, which includes the following steps: detecting and marking the bad point position by the gray scale difference value between adjacent pixel points in the black body background image obtained by the infrared detector; the infrared detector obtains black body images of multiple different temperature black bodies, and eliminates abnormal calibration points in the black body images, and obtains a temperature calibration model; and obtains a temperature compensation model by the black body temperature value and the real black body temperature value collected by the infrared detector, and corrects the temperature according to the temperature compensation model. SUMMARY

[0006] Aiming at the defects in the prior art, the present application aims to provide an infrared temperature measurement method based on response rate correction.

[0007] According to the present application, an infrared temperature measurement method based on response rate correction is provided, comprising:

[0008] Step S1: through the method of offline calibration, the relationship between temperature and radiant energy is calibrated in the laboratory at different thermostat temperatures;

[0009] Step S2: based on the relationship between temperature and radiant energy calibrated in the laboratory, the change of environmental temperature causes the change of focal temperature, thereby causing the difference of response rate, the response value measured by the same temperature target radiation is also not the same, and the measured temperature is also inaccurate.

[0010] Step S3: calibrate the actual response rate characteristics of the infrared temperature measurement instrument at different focal temperatures, thereby obtaining the discrete relationship between response rate and focal temperature;

[0011] Step S4: taking the response rate corresponding to a certain focal temperature as a reference, linearly correcting the response rate in the focal temperature change interval and mapping it to the reference response rate, so that the infrared temperature measurement instrument maintains consistent detection stability and accuracy.

[0012] Preferably, the step S1 adopts: in the calibration process, the temperature measurement instrument is placed in the thermostat, the thermostat is set to a preset temperature, a black body is placed in front of the temperature measurement instrument within a preset range to radiate, and the black body temperature is set to a preset value; after the thermostat is stable at each temperature, the AD value of the human infrared temperature measurement instrument radiation energy conversion and the black body temperature value at that time are recorded, and a plurality of groups of relationships between the target radiation energy AD value and the temperature are obtained.

[0013] Preferably, the response rate includes: the response rate of the non-cooled infrared long-wave detector focal plane array unit is defined as the ratio of the output voltage of each array unit to the corresponding incident radiation flux value.

[0014] Preferably, the step S3 adopts: the numerical relationship between the actual response rate and the focal temperature is obtained through experiments, and the relationship between the response rate and the focal temperature is obtained through the least square fitting method.

[0015] Preferably, the step S3 adopts: setting the constant temperature in the thermostat to a preset value, placing two blackbodies in parallel in the preset range of the field of view in front of the infrared temperature measuring instrument, the distance of placement being consistent with the distance from the target in the actual temperature measuring process, setting the temperatures of the two blackbodies to T1 and T2 respectively, and ensuring that T1 and T2 have a certain temperature difference, obtaining the radiation gray values of the corresponding regions of the two blackbodies after the infrared temperature measuring instrument receives the incident radiation, and taking the average of the regions to obtain AD1 value and AD2 value respectively; so as to obtain the response rate at the focus temperature; collecting the focus temperature of the detector chip in real time, starting the response rate collection program when the focus temperature changes by a preset temperature, obtaining the discrete relationship between the response rate and the focus temperature by calculating the response rate, and thus obtaining the response rate corresponding to the continuous focus temperature.

[0016] Preferably, the response rate at the focus temperature adopts:

[0017] R=(AD2-AD1) / (T2-T1)

[0018] Preferably, the discrete relationship between the response rate and the focus temperature adopts:

[0019] Y=K*T+B

[0020] Wherein, Y represents the response rate; T represents the focus temperature; K represents the coefficient; and B represents the constant.

[0021] Preferably, the step S3 adopts: the focus temperature calibration is set to a temperature range of 0-60 degrees, and the interval is 0.5 degrees; if the focus temperature range is set smaller, the interval is smaller, the change range of the response rate is smaller, and the accuracy of the correction coefficient is higher.

[0022] Preferably, the step S4 adopts: the response rate in the focus temperature change interval is linearly corrected and mapped to the reference response rate by using the correction coefficient Rb / Rt; wherein Rb represents the reference response rate; and Rt represents the response rate corresponding to each calibration focus temperature in the focus temperature change interval.

[0023] Preferably, the step S4 adopts: the correction of the output response rate in the focus temperature change process is to correct the output response value of the detector under the condition of the same incident radiation flux value, so that the infrared human body temperature measuring instrument always maintains a stable response rate characteristic in the focus temperature change process or even after stabilization, and the output response value AD of the radiation of the measured target is corrected, so that the infrared temperature measuring instrument maintains consistent detection stability and accuracy.

[0024] Compared with the prior art, the present application has the following beneficial effects:

[0025] 1. The application solves the efficiency problem that the temperature measuring process can be started only after the focal temperature is stable after the first start or cold start, and does not need to adjust the gain, bias, integration time and other working parameters of the detector which may affect the consistency of the output dynamic range and working state of the detector, and may cause changes in the overall brightness, contrast of the output imaging or image flicker. The operation method of temperature calibration is simplified, and the temperature measuring efficiency of the infrared temperature measuring instrument is improved;

[0026] 2. The temperature measuring method based on response rate correction corrects and compensates for the inconsistency of response rate during the focal temperature change process. After correction and compensation, the error of the output response value caused by the temperature drift of the focal temperature is reduced, the accuracy and precision of temperature measurement are improved, and the non-uniformity of the image caused by the inconsistency of the response rate is reduced, making the image imaging effect better;

[0027] 3. The correction parameters of the response rate can be reused for the same batch, same type and same characteristic detector, without the need for recalibration and repeated calculation, and can be applied in batch in the equipment production process. The batch production and production efficiency of the human body infrared temperature measuring instrument is improved. BRIEF DESCRIPTION OF DRAWINGS

[0028] Other features, objects and advantages of the application will become more apparent after reading the detailed description of non-limiting embodiments with reference to the following drawings:

[0029] Figure 1 is a theoretical curve of the relationship between radiant energy and target temperature.

[0030] Figure 2 is a curve of the relationship between radiant energy and temperature at different focal temperatures.

[0031] Figure 3 is a response rate calibration diagram.

[0032] Figure 4 is a curve of the relationship between the response rate of the detector and the focal temperature.

[0033] Figure 5 is a curve of the relationship between the response rate and the focal temperature before and after correction.

[0034] Figure 6 is a curve of the relationship between radiant energy and temperature after response rate correction. DETAILED DESCRIPTION

[0035] The application will be described in detail below with specific examples. The following examples will help those skilled in the art to further understand the application, but do not limit the application in any form. It should be noted that those skilled in the art can make several changes and improvements without departing from the concept of the application. These are within the scope of the present application.

[0036] Example 1

[0037] With the large-scale popularization and application of infrared thermal imager products, infrared temperature measuring instruments are also used more and more in monitoring, fire fighting, industrial detection, medical treatment and other fields. However, during the cold start process of the temperature measuring instrument or a period of time after power failure and restart, the focal temperature is changing. In general, in an indoor normal temperature space environment, the focal temperature gradually rises and tends to be stable after a period of time after starting. In this process, with the change of the focal temperature, the response rate also gradually tends to be stable, and the error of the response output due to temperature drift also gradually decreases to zero.

[0038] Therefore, after the first start or cold start, a period of time needs to be waited for the focal temperature to be stable before starting the temperature measuring process. The waiting time depends on external factors such as the temperature, humidity, air flow, wind direction and the like of the environment. If the temperature measuring instrument needs to be accurate during the cold start change process after power on, the working parameters of the detector need to be adjusted, such as gain, bias, integration time and the like, to ensure the consistency of the response rate output during the rising process of the focal temperature. The working parameters of the infrared detector need to be adjusted in sections to ensure the consistency of the response output of the detector under the same configuration temperature of the blackbody radiation, since the gain, bias, integration time and the like are for all array units of the infrared detector, it is difficult to ensure the completely consistent response rate characteristics of all array units of the detector during the rising process of the focal temperature, and this method is complicated to operate, affects the consistency of the dynamic range and working state of the detector output after adjusting the working parameters of the detector, and causes the change of the overall brightness and contrast of the output imaging or causes the image flicker.

[0039] In the temperature measuring process of the human body infrared temperature measuring instrument of the present application, there is no constant temperature blackbody as a temperature calibration source. The relationship between the temperature and the radiant energy is calibrated in the laboratory by an offline calibration method.

[0040] The human body infrared temperature measuring instrument uses the site mainly indoor constant temperature box environment, the temperature measuring target is mainly the body surface temperature of human body, the temperature measuring range is 20 degrees to 50 degrees. Therefore, in the calibration process, let the temperature measuring instrument be in the constant temperature box, the constant temperature box temperature is set to 20 degrees, 25 degrees, 30 degrees respectively, and the black body is placed in front of the temperature measuring instrument and is set to 28, 30, 32, 34, 36, 38, 40, 42, 44, 46, 48, 50 degrees respectively. After the constant temperature box is set to each temperature and is stable, the human body infrared temperature measuring instrument is started, and the radiation of the black body at different temperatures is adjusted in turn, after the black body temperature and focal temperature are stable, the AD value of the radiation energy conversion of the human body infrared temperature measuring instrument and the black body temperature value at that time are recorded, and three groups of relationships between the target radiation energy AD value and the temperature are obtained, wherein the curves in the attached Figure 2 correspond to the black body calibration collected at the constant temperature box temperature set to 20 degrees, 25 degrees and 30 degrees respectively, wherein the horizontal coordinate is the black body temperature, and the vertical coordinate light sensing value is actually the output response AD value, and the relationship curve is obtained by curve fitting Figure 2 . It can be seen from the figure that the three curves do not coincide, even if the same temperature black body radiation is set, the response values obtained on the three curves are not the same, and it can be known that the response rates on the three curves are different. When the target temperature is measured, if the radiation AD value of the target to be measured is 4500, three target temperatures are obtained on the temperature curve. The occurrence of this situation is caused by the inconsistent response rates of the infrared detector under the same configuration and target radiation. The focal temperature of the infrared detector changes with the change of the environment temperature, and when the constant temperature box is set to three different temperatures, the focal temperature of the infrared temperature measuring instrument is stable after working for a period of time, and is also stable at three different focal temperatures. The response rates corresponding to different focal temperatures are actually different and not completely consistent. Because of the change of the environment temperature, the focal temperature changes, thereby causing the difference of the response rate, and the response values measured for the same temperature target radiation are also not the same, so the measured temperature is also inaccurate.

[0041] Generally, the responsivity of a non-cooled long-wave infrared detector focal plane array unit is defined as the ratio of the output voltage of each array unit to the corresponding incident radiation flux value. In the specific experimental process, the radiation flux received by the infrared thermometer detector array unit and the output voltage of a single pixel are difficult to measure, and it is even more difficult to obtain accurate values of both quantities simultaneously, so it is difficult to directly use the ratio of the incident radiation flux and the output voltage to determine the responsivity of the detector pixel. Since the incident radiation flux received by the focal plane is approximately linearly related to the temperature of the target, the gray value (referred to as AD value) of the output image of the infrared thermometer also linearly reflects the output voltage of the thermal sensitive pixel, and the temperature of the target is relatively easy to control. The pixel gray value can be obtained by sampling the output response and AD conversion. Therefore, a blackbody target at different temperatures dlt_T can be used for radiation, and the response output conversion of the received different incident radiation can be used to obtain the gray difference dlt_AD. The responsivity R of the focal plane detector pixel can be approximately represented as R = dlt_AD / dlt_T.

[0042] Calibration of the responsivity of the infrared thermometer calibrates the actual responsivity characteristics of the infrared thermometer at different focal temperatures. Most non-cooled long-wave infrared detector chips are vacuum-sealed in airtight containers such as ceramics and metals to isolate heat exchange with the outside world and improve detection efficiency. However, the detector chip is also heated in the working state, so after the infrared thermometer is powered on, the focal temperature of the detector chip gradually rises and stabilizes under the influence of the ambient temperature and its own heating, and after stabilization, it is usually higher than the ambient temperature. In order to be compatible with the influence of the wide range of focal temperature changes on the responsivity, the change characteristics of the infrared detector responsivity need to be measured when the focal temperature rises from 0 degrees to 60 degrees. For example Figure 3The calibration schematic diagram is shown, in the thermostat, the thermostat temperature is set to 25 degrees, 2 black bodies are arranged in the front field of view of the infrared temperature measuring instrument in the left and right directions, the distance of the arrangement is consistent with the distance of the target in the actual temperature measurement process, and the temperatures of the two black bodies are set to T1=20 degrees and T2=40 degrees, there is a certain temperature difference, after the infrared temperature measuring instrument receives incident radiation, the radiation gray values of the left and right two regions are obtained, the average of the regions is taken to obtain AD1 value and AD2 value. At this time, the response rate R=(AD2-AD1) / (T2-T1) under the focal temperature. And the focal temperature of the detector chip can be collected in real time, by obtaining the focal temperature, according to the change of the focal temperature, in the present application, when the focal temperature changes every 0.5 degrees, the response rate collection program is started, the response rate R=(AD2-AD1) / (T2-T1) is obtained by calculation, the discrete relationship between the response rate and the focal temperature is obtained, if the thermostat temperature is set to 25 degrees, the focal temperature cannot reach 60 degrees after stabilization, the thermostat temperature can be set to 30 degrees or higher temperature for calibration, so that the response rate change curve with the focal temperature can cover the focal temperature change interval of 0 degrees to 60 degrees, so that the actual response rate and the focal temperature are obtained. The numerical relationship is obtained, and the least square fitting method is used to obtain the relationship curve between the response rate and the focal temperature as shown in the figure. Figure 4 As can be seen from the figure, the response rate gradually decreases with the increase of the focal temperature, and an inflection point appears at about 23 degrees, and then the response rate changes more greatly under the condition of unit change of the focal temperature. Overall, the change trend of the response rate is a piecewise linear relationship, so the approximate linear relationship function Y=K*T+B is used to obtain the response rate corresponding to the continuous focal temperature.

[0043] The correction of the response rate of the infrared thermometer is carried out, the change trend of the response rate is piecewise linear relationship, and gradually decreases with the increase of the focal temperature, a response rate corresponding to a focal temperature can be taken as a reference, the response rate in the focal temperature change interval is linearly corrected and mapped to the reference response rate, a group of correction coefficients Rb / Rt are used, and the correction coefficients Rt are related to the focal temperature, the focal temperature is changed in the interval, and the response rate corresponding to each calibration focal temperature is Rb, and the reference response rate is Rb. In the application, the actual use environment and conditions of the thermometer are combined, the human body temperature measuring instrument is installed in the thermostat, the temperature of the thermostat is set to 25 degrees, and the normal temperature environment temperature is basically consistent, so the experimental verification of multiple, multiple instrument equipment is carried out, the infrared temperature measuring instrument is started from cold to the focal temperature, and the stable focal temperature does not exceed 60 degrees, so the response rate corresponding to the focal temperature of 60 degrees is taken as the reference response rate in the process of response rate correction, the response rate and the focal temperature are inquired from the numerical table of the focal temperature from 0 degrees to 60 degrees, every 0.5 degrees has a response rate corresponding to the numerical table of the focal temperature, a total of 121 correction coefficients are calculated, in order to reduce the correction error, when the focal temperature is in the range of 0-60 and is an integer multiple of 0.5, the calibrated correction coefficient is directly called. In other cases, if the focal temperature is in the focal temperature interval corresponding to the 121 correction coefficients, because the change trend of the response rate with the focal temperature is piecewise linear relationship, the two correction coefficients in the 121 correction coefficients can be used to obtain the response rate corresponding to the focal temperature of the decimal multiple of 0.5 through a linear function relationship, and then the reference response rate is divided to obtain other correction coefficients.

[0044] In the examples of the application, the focal temperature calibration is set to 0-60 degrees, and the interval is 0.5 degrees. If the focal temperature range is smaller, the interval is smaller, the response rate change range is smaller, and the correction coefficient accuracy is higher. Of course, the calibration data content and storage space will also increase, and the temperature calibration range and interval can be adjusted according to the actual situation.

[0045] Meanwhile, the response rate describes the inherent characteristics of the infrared detector, and the 121 correction coefficients herein can be repeatedly used for the detectors with the same characteristics in the same batch and the same model, without re-calibration and calculation, and can be applied in the device production process in batches. In actual use, the corrected response rate = pixel self-response rate Rt * correction coefficient = Rb, such as Figure 5The response rate before and after correction is shown as a function of focus temperature. Here, the response rate before and after correction is represented as the average response rate of a certain area in the image or the entire image. In fact, an image is composed of n pixels, and the response rate of each pixel is not exactly the same as the average response rate. For example, through the above calibration, it is found that the response rate of the first pixel is R1, the response rate of the second pixel is R2, and the response rate of the nth pixel is Rn. The above correction process can also be represented as follows: first, the response rate of each pixel is corrected to the average response rate R_avg (the sum of the response rates of all pixels is divided by n) at the focus temperature, i.e., multiplied by a correction coefficient R_avg / Rn*Rn=R_avg, so that the response rates of all pixels are basically the same. Second, the average response rate at the focus temperature is corrected to the reference response rate, i.e., multiplied by a correction coefficient Rb / R_avg*R_avg=Rb. After the correction of the response rates of all pixels, the response rates are kept at the reference response rate. Therefore, this correction method also reduces the non-uniformity of the image caused by the non-uniformity of the response rates of the pixels, so that the image is more uniform and the imaging effect is better.

[0046] Application of response rate of infrared thermometer. The output response rate of the detector is originally defined as the ratio of the output voltage of each array unit to the corresponding incident radiation flux value. In the embodiment of the present application, it is assumed that the incident radiation flux value of the target to be measured is I, and the output voltages of the array units of the detector are O1 and O2 at different focus temperatures. Therefore, the ratio of the response rates R1 / R2=O1 / O2, and the output voltage of the array unit of the detector can be linearly represented by an AD value. Therefore, the correction of the output response rate during the change of the focus temperature is actually a correction of the output response value (AD value) of the detector under the same incident radiation flux value, so that the infrared human body temperature measuring instrument always maintains a stable response rate characteristic during the change of the focus temperature and even after stabilization. The output response value AD value of the radiation of the target to be measured is corrected, so that the infrared thermometer maintains consistent detection stability and accuracy. If R1 corresponds to the response rate during the change of the focus temperature, R2 corresponds to the reference response rate after stabilization, AD1 is the output response value corresponding to the response rate R1, and AD1' is the output response value corresponding to the reference response rate R2. AD1 is actually inaccurate, and AD1' is accurate after correction. Therefore, the correction of R1 to R2 is the correction of AD1 to AD1', so AD1'=AD1*response rate correction coefficient=AD1*R2 / R1. From the above, it can be seen that the correction of the response rate of the infrared thermometer is actually a correction of the output response value of the detector under the same incident radiation flux value. Figure 4It can be known that the lower the focus temperature is, the higher the response rate is, so after cold start, the received radiation energy response value AD1 is larger under the same temperature blackbody radiation, and after the focus temperature is stable, the received radiation energy response value is smaller under the same temperature blackbody radiation, so the corrected AD1' is smaller than the AD1 value, and the reduced part corresponds to the response rate. Figure 2 It can be known that the three temperature curves do not coincide due to the inconsistency of the response rate, and after the response rate correction, that is, the correction of the detector output response value (AD value), the three temperature curves can be ensured to coincide as one temperature curve as shown in Figure 6 With the change of the focus temperature, the response rate of the detector output remains basically consistent. When the target is detected, whether cold start or hot start or the fluctuation of the focus temperature, in the detection temperature range or the detection dynamic range of the detector, the temperature of the detected target obtained by converting the AD value corresponding to the target radiation energy is accurate.

[0047] In the description of the present application, it should be understood that the terms "upper", "lower", "front", "back", "left", "right", "vertical", "horizontal", "top", "bottom", "inner", "outer" and the like indicate the orientation or positional relationship based on the orientation or positional relationship shown in the drawings, and are only for the convenience of describing the present application and simplifying the description, and do not indicate or imply that the device or element referred to must have a particular orientation, be constructed and operated in a particular orientation, and therefore cannot be understood as a limitation on the present application.

[0048] The specific embodiments of the present application are described above. It should be understood that the present application is not limited to the above specific embodiments, and those skilled in the art can make various changes or modifications within the scope of the claims, which does not affect the essential content of the present application. In the case of no conflict, the embodiments of the present application and the features in the embodiments can be combined with each other arbitrarily.

Claims

1. An infrared thermometry method based on response rate correction, characterized in that, include: Step S1: Using an offline calibration method, calibrate the relationship between temperature and radiant energy in the laboratory at different constant temperature chamber temperatures; Step S2: Based on the relationship between temperature and radiation energy calibrated in the laboratory, it is concluded that changes in ambient temperature lead to changes in focal temperature, which in turn causes differences in response rate. The response values ​​measured for radiation from the same target at the same temperature are also different, and the measured temperature is also inaccurate. Step S3: Calibrate the actual response rate characteristics of the infrared thermometer at different focal temperatures to obtain the discrete relationship between the response rate and the focal temperature; Step S4: Using the responsivity corresponding to a certain focal temperature as a benchmark, the responsivity within the focal temperature variation range is linearly corrected and mapped onto the benchmark responsivity, thereby ensuring that the infrared thermometer maintains consistent detection stability and accuracy. Step S3 involves: experimentally obtaining the numerical relationship between the actual response rate and the focal temperature, and then using the least squares fitting method to obtain the relationship between the response rate and the focal temperature. Step S3 involves: setting the constant temperature to a preset value in a constant temperature chamber; placing two blackbodies parallel to each other within a preset field of view in front of the infrared thermometer, with the placement distance matching the actual distance to the target during temperature measurement; setting the temperatures of the two blackbodies to T1 and T2 respectively, ensuring a certain temperature difference between T1 and T2; and averaging the radiation grayscale values ​​of the corresponding regions of the two blackbodies obtained after the infrared thermometer receives the incident radiation to obtain the AD1 and AD2 values; thereby obtaining the response rate at the focal temperature. The focal temperature of the detector chip is acquired in real time. When the focal temperature changes by a preset temperature, the response rate acquisition program is started. The discrete relationship between the response rate and the focal temperature is obtained by calculating the response rate, thereby obtaining the response rate corresponding to the continuous focal temperature. The response rate at the specified focal temperature is: R = (AD2 - AD1) / (T2 - T1) The discrete relationship between the response rate and the focal temperature is described using: Y = K * T + B Where Y represents the response rate; T represents the focal temperature; K represents the coefficient; and B represents a constant. The step S3 adopts the following: the focal temperature calibration is set to a temperature range of 0 to 60 degrees, with an interval of 0.5 degrees. If the focal temperature range is set to be smaller and the interval is smaller, the response rate variation range will be smaller and the accuracy of the correction coefficient will be higher. Step S4 involves: linearly correcting the response rate within the focal temperature variation range using a correction coefficient Rb / Rt and mapping it to the reference response rate; where Rb represents the reference response rate; and Rt represents the response rate corresponding to each calibrated focal temperature within the focal temperature variation range. Step S4 involves correcting the output response rate during the focal temperature change process. This means that, under the same incident radiation flux value, the detector output response value is corrected so that the infrared human body temperature measuring instrument maintains a stable response rate characteristic during the focal temperature change process and even after it stabilizes. The output response value AD of the radiation from the target to be measured is corrected so that the infrared temperature measuring instrument maintains consistent detection stability and accuracy.

2. The infrared thermometry method based on response rate correction according to claim 1, characterized in that, Step S1 involves the following steps: During the calibration process, the temperature measuring instrument is placed in a constant temperature chamber, and the constant temperature chamber is set to a preset temperature. At the same time, a blackbody is placed in front of the temperature measuring instrument within a preset range for radiation, and the blackbody temperature is set to a preset value. After each temperature setting in the constant temperature chamber stabilizes, the AD value of the radiation energy conversion of the human body infrared thermometer and the blackbody temperature value at that time are recorded to obtain multiple sets of relationships between the AD value of the target radiation energy and the temperature.

3. The infrared thermometry method based on response rate correction according to claim 1, characterized in that, The responsivity includes: the responsivity of the focal plane array unit of the uncooled infrared long-wave detector is defined as the ratio of the output voltage of each array unit to the corresponding incident radiation flux value.

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