CN117906767A - Large-area source blackbody temperature self-correction method - Google Patents
Large-area source blackbody temperature self-correction method Download PDFInfo
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Abstract
The invention discloses a large-area source black body temperature self-correcting method, which comprises the following steps: s1, obtaining a temperature measurement precision optimal point of an infrared thermometer; s2, measuring the temperature of the temperature measuring point at the temperature measuring precision optimal point of the infrared thermometer obtained in the step S1; s3, repeating the steps S1 and S2 to measure the temperature of each channel temperature measuring point of the large-area source black body; s4, dividing the blackbody of each channel into three types according to different numbers of temperature measuring points of each channel in contact with the outside environment temperature, giving different weight distribution values to different temperature measuring points, and obtaining corrected temperature values of the use surface of each channel of the large-area source blackbody through a temperature value weighting algorithm; s5, calculating the temperature difference between the front surface and the rear surface of each channel by adopting the corrected temperature value in the step S4, and calculating a temperature compensation value. The self-correcting method for the large-surface-source blackbody temperature has high temperature measurement precision on each temperature measurement point, and the temperature compensation value obtained through the temperature value weighting algorithm is beneficial to improving the temperature uniformity of the large-surface-source blackbody.
Description
Technical Field
The invention belongs to the technical field of surface source blackbody calibration, and particularly relates to a large surface source blackbody temperature self-correction method.
Background
The blackbody is an ideal radiator and plays an important role in the field of infrared temperature measurement. It is capable of absorbing radiant energy of all wavelengths without reflection and transmission of energy, and therefore its surface emissivity is 1. This makes black bodies ideal standard radiation sources for calibrating and measuring infrared thermometers, such as infrared thermometers and infrared cameras. In practical application, the surface source blackbody is mainly used for calibrating radiation thermometers such as a radiation thermometer and a thermal imager, and also used as core equipment of an infrared imaging calibration device, and is matched with an infrared collimation optical system and an infrared target to finish key technical index testing and performance evaluation of the infrared imaging system.
The large-area source black body is a special light source and is characterized in that uniform radiation can be generated in all directions. Because of the radiation characteristics of this light source, it has wide application in the fields of spectral measurement, photometric measurement, thermal measurement, etc.
The blackbody radiation source of the surface source commonly used at home and abroad adopts the shapes of a flat plate shape, a micro-thread groove, a parallel V-shaped groove, a thin-wall honeycomb shape, a concentric V-shaped groove and the like as the blackbody radiation surface
The large-area source black body is used as a standard temperature source of infrared measurement equipment, and the accuracy of the temperature directly influences the calibration and measurement results. Large area source black bodies require temperature uniformity across the radiating surface. In the case of long-term operation or environmental temperature changes, the temperature of the black body may fluctuate. The temperature self-correction of the large-area source black body is a key link for ensuring the accuracy of the large-area source black body serving as a standard temperature source, and is an important means for ensuring the calibration of infrared measurement equipment and the reliability of measurement results, and the temperature self-correction of the large-area source black body has great influence on the performance and stability of the large-area source black body.
In the prior art, for temperature correction of a large-area source blackbody, central temperatures of multi-channel temperature control forming a using surface of the large-area source blackbody are respectively measured by a handheld infrared thermometer, a temperature difference result is directly calculated by the central temperatures and the temperatures of the rear surface of the blackbody, and the temperature correction is directly carried out by utilizing the temperature difference. The correction method cannot realize automatic focusing of the infrared thermometer under a large-area source blackbody multichannel temperature control scene, cannot realize locking and moving of focusing distances, cannot obtain accurate temperature measurement of each temperature measuring point, cannot guarantee the position consistency of the temperature measuring points of multichannel temperature control, and has low manual correction temperature measurement efficiency and cannot be carried out under high-low temperature environments. Blackbody surfaces typically use a non-planar structure to enhance emissivity, making the usual method of confirming focus accuracy by detecting distance unsuitable for this scenario.
Disclosure of Invention
The invention aims to provide a large-area source black body temperature self-correction method aiming at the problems in the prior art.
For this purpose, the above object of the present invention is achieved by the following technical solutions:
a large-area source blackbody temperature self-correcting method comprises the following steps:
S1, obtaining the optimal point of the temperature measurement precision of the infrared thermometer, continuously obtaining the pattern of focusing cross laser of the infrared thermometer on the surface of a blackbody by matching with unidirectional movement of a camera by a Z-axis motor, determining the movement direction of the motor by the number change of red pixel points in the image of the cross focusing laser, wherein the point with the least number of the red pixel points is the point with the highest temperature measurement precision of the infrared thermometer;
s2, measuring the temperature of the temperature measuring point at the temperature measuring precision optimal point of the infrared thermometer obtained in the step S1;
s3, repeating the step S2 to measure the temperature of each channel temperature measuring point of the large-area source black body;
s4, dividing the blackbody of each channel into three types according to different numbers of temperature measuring points of each channel in contact with the external environment temperature, and giving different weight distribution values to different temperature measuring points of the three types of blackbody to obtain corrected temperature values of the use surface of each channel of the large-surface source blackbody;
s5, calculating the temperature difference between the front surface and the rear surface of each channel by adopting the corrected temperature value in the step S4, so as to calculate a temperature compensation value.
The invention can also adopt or combine the following technical proposal when adopting the technical proposal:
As a preferable technical scheme of the invention: step S1 comprises the steps of: confirming the focusing position of the motor by controlling a Z-axis motor in which the temperature measuring module is positioned, and controlling the focusing distance of an infrared thermometer in the temperature measuring module;
And searching the optimal focusing point of the camera, and judging the focusing accuracy of the infrared thermometer by counting the number of red pixel points in the cross laser focusing light spots, wherein the point with the minimum number of the red pixel points is judged to be the optimal focusing point of the infrared thermometer.
As a preferable technical scheme of the invention: in step S4, five temperature measuring points of each channel areThe first category is a temperature control channel with three temperature measuring points all in contact with the external environment, 15% weight is assigned to the three environment contact points, 50% weight is assigned to the center point, and 5% weight is assigned to the rest points, namely the non-point source correction temperature; The second category is that two temperature measuring points are in contact with the external environment, 15% of weight is assigned to the two environment contact points, 50% of weight is assigned to the center, and 10% of weight is assigned to the other two points, namely the temperature/>, of the non-point source correction; Five temperature measurement points in the third category are not contacted with the external environment, 5% weight is allocated to each of the four points, and 80% weight is allocated to the center, namely the temperature is corrected by a non-point source。
As a preferable technical scheme of the invention: in step S5, the corrected temperature value of the use surface of each channel of the large-area source blackbody in step S4 is adopted and compared with the blackbody temperature value obtained by the blackbody rear surface temperature measuring sensor to obtain the front and rear surface temperature difference, and then the temperature difference is multiplied by a material and heat transfer coefficient, so that a temperature compensation value is obtained, and after the temperature compensation value is transmitted to an upper computer, the temperature control is carried out again, so that the temperature of the use surface of the blackbody is closer to the set temperature.
Compared with the prior art, the invention has the following beneficial effects: according to the method for automatically correcting the temperature of the large-area source blackbody, the three-axis motor is adopted to drive the infrared thermometer to move, the Z-axis motor is matched with the camera to move unidirectionally to continuously acquire the pattern of focusing cross laser of the infrared thermometer on the surface of the blackbody, the movement direction of the motor is determined by the number change of red pixels in an image of the cross focusing laser, and the minimum number of the red pixels is the highest temperature measuring precision point of the infrared thermometer. After the optimal focusing point is found, the motor is locked, the X-Y axis motor is responsible for plane movement of the temperature measuring module, temperature measurement is carried out on each temperature measuring point, focusing distance locking and movement can be realized, temperature detection efficiency is improved, meanwhile, the position consistency of the temperature measuring points of multi-channel temperature control can be ensured, and the temperature measuring device is also suitable for high and low temperature environments. After the temperature detection of each temperature measuring point is realized, a certain weight is given to the temperature data acquired by each temperature measuring point according to the position of the large-area source black body temperature control channel, the corrected temperature of the using surface of the black body is obtained, then the corrected temperature is compared with the temperature value acquired by the temperature measuring sensor on the rear surface of the black body, a material and a heat transfer coefficient are multiplied, the final compensation temperature is acquired, and the compensation temperature is transmitted to an upper computer to carry out temperature control on the rear surface of the black body again.
According to the self-correcting method for the temperature of the large-area source blackbody, the most accurate measurement of each temperature measuring point by the infrared thermometer is realized by obtaining the highest temperature measuring precision point of the infrared thermometer, different weight distribution values are given to different temperature measuring points of blackbody of three types of channels by classifying the channels, so that the corrected temperature value of the use surface of each channel of the large-area source blackbody is obtained, and compared with the prior art, the temperature compensation value obtained by a temperature value weighting algorithm is more beneficial to improving the temperature uniformity of the large-area source.
The large-area source blackbody temperature self-correction method is simple to operate, high in focusing precision, high in temperature measurement precision and high in working efficiency, can be widely applied to various occasions needing infrared temperature measurement, and has great application prospects in the fields of industrial production, scientific research experiments, medical health and the like.
Drawings
FIG. 1 is a flow chart of a motor focus position confirmation algorithm;
FIG. 2 is a flow chart of a camera best focus finding algorithm;
FIG. 3 is a schematic view of a focused cross laser spot;
the red pixel point statistical result of the algorithm of fig. 4;
FIG. 5 is a mask diagram for formula three structured to 3×3;
FIG. 6 is a schematic diagram of Gaussian filtered pixel migration;
FIG. 7 is a schematic diagram of Gaussian filtered boundary value processing;
FIG. 8 is a graph of temperature measurement points and paths of a large-area source black body temperature self-correction method according to the present invention.
Detailed Description
The invention will be described in further detail with reference to the drawings and specific embodiments.
The invention discloses a large-area source black body temperature self-correcting method, which comprises the following steps:
S1, obtaining the optimal point of the temperature measurement precision of the infrared thermometer, continuously obtaining the pattern of focusing cross laser of the infrared thermometer on the surface of a blackbody by matching with unidirectional movement of a camera by a Z-axis motor, determining the movement direction of the motor by the number change of red pixel points in the image of the cross focusing laser, wherein the point with the least number of the red pixel points is the point with the highest temperature measurement precision of the infrared thermometer;
S2, measuring the temperature of the temperature measuring point at the temperature measuring precision optimal point of the infrared thermometer obtained in the step S1,
S3, repeating the step S2 to measure the temperature of each channel temperature measuring point of the large-area source black body;
S4, obtaining a corrected temperature value of the use surface of the large-area source black body through a temperature value weighting algorithm, classifying the black bodies of all channels into three types through different positions of the channels, and giving different weight distribution values to different temperature measuring points of the three types of black bodies to obtain the corrected temperature value of the use surface of each channel of the large-area source black body;
S5, adopting the corrected temperature value in the step S4 to measure the front and rear surface temperature difference of the large-area source black body, and calculating a temperature compensation value.
In the step S1, the confirmation of the focusing position of the motor is realized by controlling a Z-axis motor in which the temperature measuring module is positioned, the focusing distance of the infrared thermometer in the temperature measuring module is controlled,
And searching the optimal focusing point of the camera, and judging the focusing accuracy of the infrared thermometer by counting the number of red pixel points in the cross laser focusing light spots, wherein the point with the minimum number of the red pixel points is judged to be the optimal focusing point of the infrared thermometer.
In step S1, a motor focusing position confirmation flow is shown in fig. 1, and the control of the focusing distance of the infrared temperature measuring point is realized by controlling the Z-axis motor where the temperature measuring module is located.
The temperature measuring module comprises an infrared thermometer and a camera.
Firstly, enabling a Z-axis motor to move A1 unidirectionally and randomly, continuously collecting patterns of a camera on a Z axis for focusing cross laser of an infrared thermometer, collecting pixels of the images by C1 through a flow shown in FIG. 2, and judging states of the number of the pixels by D1: if the pixel point is increased or unchanged, the motor is reversed to the pixel point and then is delayed for one second to return; if the pixel point is decreased, continuing to move according to the current motor movement state until the pixel point is increased, and then delaying for one second to back. And (5) finishing the flow, namely determining the optimal focusing position of the motor.
In step S1, the best focus searching process of the camera is shown in fig. 2, and the best focus searching algorithm of the camera part mainly uses the Z-axis motor to control the focusing distance through the focusing position confirming algorithm, and the camera continuously samples the cross laser focusing light spots under different distances, counts the number of red pixel points by counting the sampling pictures of the focusing cross laser, and judges the focusing accuracy through the number of the red pixel points. After the camera collects the image, the number of red pixels in the outline is counted by E2 after gray level conversion A2, gaussian filtering B2, binarization C2 and Sobel algorithm D2 are carried out, a curve of the number of the red pixels is drawn, and the point with the minimum number of the red pixels is the most clear focusing point, namely the most accurate temperature measuring position of the infrared thermometer.
In the invention, a motor focusing position confirmation algorithm is utilized, and the control of the focusing distance of the sensor is realized by controlling a Z-axis motor in which a temperature measuring module is positioned; the optimal focusing searching algorithm is mainly characterized in that a Z-axis motor controls focusing distance through a focusing position confirming algorithm, a camera continuously samples focusing light spots of cross laser under different distances, statistics is carried out on the number of red pixels by counting sampling pictures of focusing cross laser, focusing accuracy is judged by the number of the red pixels, and accurate control of focusing positions and automatic correction of temperature measuring accuracy are realized through the motor focusing position confirming algorithm and the optimal focusing searching algorithm, so that temperature measuring accuracy and working efficiency of an infrared thermometer are improved, and accurate control of focusing positions and automatic correction of temperature measuring accuracy can be realized.
In step S4, obtaining a corrected temperature value of the use surface of the large-area source black body through a temperature value weighting algorithm, classifying the black body into three types through different positions of all channels of the black body, and giving different weight distribution values to five temperature measuring points of the three types of black bodies to obtain the corrected temperature value of the use surface of all channels of the large-area source black body.
In the temperature value weighting algorithm, five temperature measuring points of each channel are recorded asAs shown in fig. 8. The first category is a temperature control channel with three temperature measuring points all in contact with the external environment, 15% of weight is assigned to the three environment contact points, 50% of weight is assigned to the central point, and 5% of weight is assigned to the rest points, namely the temperature is corrected by a surface source; The second category is that two temperature measuring points are in contact with the external environment, 15% of weight is assigned to the two environment contact points, 50% of weight is assigned to the center, and 10% of weight is assigned to the other two points, namely the temperature/>, of the non-point source correction; None of the five temperature measurement points of category three are in contact with the external environment. Each of the four points is assigned a weight of 5% and the center is assigned a weight of 80%, i.e. the temperature is corrected by the surface source。
The weight distribution value is determined by simulating the heat radiation characteristic of the black body through the arrangement mode of the heating device on the rear surface of the black body, obtaining a simulation temperature field through analysis, and obtaining a weight distribution value through the temperature distribution rule in the temperature field.
According to the invention, the arrangement mode of the heating wires of the large-area source black body is single-layer S-shaped, the heating wires are embedded into the temperature equalizing plate and then contact with the rear surface of the black body, and the temperature equalizing plate converts the linear heating mode of the heating wires into area heating, so that the temperature uniformity of the black body area source is improved.
S5, adopting the corrected temperature value of the use surface of each channel of the large-area source blackbody in the step S4, comparing the corrected temperature value with the blackbody temperature value obtained by the blackbody rear surface temperature measuring sensor, obtaining the front and rear surface temperature difference, and multiplying the temperature difference by a material and a heat transfer coefficient, thereby obtaining the temperature compensation value. After the temperature compensation value is transmitted to the upper computer, the temperature control is performed again, so that the temperature of the using surface of the black body is closer to the set temperature.
According to the temperature value weighting algorithm, the blackbody is divided into three types through the positions of the channels of the blackbody, different weights are given to different temperature points of the three types of blackbody, and then the temperature points are compared with the temperature value of the back surface of the blackbody obtained by the PT1000 sensor of the back surface of the blackbody, so that the temperature difference between the front surface and the back surface is obtained, and a temperature compensation value is obtained.
Example 1
As shown in fig. 1, the temperature self-correcting method for the large-area source blackbody of the invention comprises a motor focusing position confirming algorithm and an optimal focusing point searching algorithm, wherein a Z-axis motor is firstly enabled to move A1 unidirectionally and randomly, a camera on the Z axis continuously collects patterns of focusing cross laser of an infrared thermometer, and through the process shown in fig. 2, pixels of the image are collected C1, and the state of the number of the pixels is judged D1: if the pixel point is increased or unchanged, the motor is reversed to the pixel point and then is delayed for one second to return; if the pixel point is decreased, continuing to move according to the current motor movement state until the pixel point is increased, and then delaying for one second to back. And (5) finishing the flow, namely determining the optimal focusing position of the motor.
The optimal focusing point searching algorithm of the camera part mainly comprises the steps that a Z-axis motor controls focusing distance through a focusing position confirming algorithm, the camera continuously samples focusing light spots of cross laser under different distances, and the focusing accuracy is judged by counting the number of red pixel points through counting sampling pictures of focusing cross laser. After the camera collects the image, gray level conversion A2, gaussian filtering B2, binarization C2 and Sobel algorithm are carried out (after D2, statistics E2 is carried out on the number of red pixel points in the outline, a curve of the number of the red pixel points is drawn, and the point with the minimum number of the red pixel points is the most clear focusing point, namely the most accurate temperature measurement position of the infrared thermometer.
The gain control module amplifies RGB data of the image respectively, and the formula is as follows:
(equation I)
Where a is a factor, which can be modified by embedded software.
The gray level conversion module converts the RGB image into a gray level image, and the conversion formula is as follows:
gray=r 0.229+g 0.587+b 0.114 (formula two)
The edge detection module is responsible for finishing edge detection based on the SOBEL algorithm, binarizing the result, and finally obtaining 1 pixel and 1 bit result data, and sending the data to the storage control module.
And the storage control module is used for storing the image data after edge detection into the two internal RAMs. Each RAM may hold a 320 x 200 image. The working mode of the storage control module is as follows:
1. the image data is stored in the RAM0 at the beginning, and the LCD reads the image data from the RAM1 for display;
2. if the entire image data is written to the RAM0, the VGA waits for the data of the RAM1 to be read out. During the waiting period, the new image data will be discarded;
3. When the LCD reads out the data of RAM1, if one image data of RAM0 has been written out, the display of the data of RAM0 will be started. At the same time the module is ready to write new image data into the RAM1, it being noted that the new image data must be written starting from the first data of an image;
4. RAM1 and RAM0 are switched to each other according to the above principle. That is to say: when one image is written and one image is read, switching is started;
the filtering module is responsible for noise filtering of the image data and filtering Gaussian noise. The formula is as follows:
(equation three)
Wherein f (x, y) is the gray value of the (x, y) pixel point in the original image, g (x, y) is the value after Gaussian filtering, and the division of 16 in the formula is convenient for realizing on hardware.
The above formula can be structured as a 3 x 3 mask as shown in fig. 5:
As shown in fig. 6, the left is the original image, and the right is the gaussian filtered output image. If the gaussian filtering is performed on the 56 th row 1 column (black dot in the left diagram of fig. 6), the filtered output points are located in the 57 th row 2 column (black dot in the right diagram of fig. 6), that is, the output image is moved downward by one row and moved rightward by one column after gaussian filtering.
As shown in fig. 7, the value of row 0 and column 0 of the original image is 32, i.e. the black circle in the figure, if gaussian filtering is performed on the point, it is found that there is no value on the left boundary and the upper boundary.
The large-area source black body consists of multi-channel temperature control so as to improve the temperature uniformity of the area source. As shown in FIG. 8, the large area source blackbody of the present invention, 2200x2200mm blackbody surface source, consists of 64 temperature control channels. The 2200x2200mm black body size is divided into 64 zones, 8x8 total, each zone being controlled by a temperature control system to control the temperature of the zone. Each temperature control system is referred to as a blackbody temperature control channel. The entire black square in fig. 8 represents a large area blackbody radiation source, the red number represents the center of each temperature control channel, and the white number represents the four temperature measurement locations of the upper left, upper right, lower left, and lower right of each channel. They are classified into three types according to the locations of the channels, as shown in fig. 8. The first category is surrounded by a yellow box in the figure, the frame having three temperature measurement points in contact with the external environment. Three environmental contact points are assigned a weight of 15%, a center point is assigned a weight of 50%, and the remaining points are assigned a weight of 5%. The weighted temperature values are then transmitted to a host computer for recalibration; the second category is surrounded by a purple square frame in the figure, which has two temperature measurement points in contact with the external environment. Two environmental contact points are assigned a weight of 15%, a center is assigned a weight of 50%, and the other two points are assigned a weight of 10%. The weighted temperature values are transmitted to a host computer for temperature compensation control; the third class is surrounded by a green box in the figure, and all five temperature measurement points in the class are not in contact with the external environment. Each of the four points is assigned a weight of 5% and the center is assigned a weight of 80%. The weighted temperature values are transmitted to a host computer for temperature compensation control. According to the large-area source blackbody temperature self-correcting method, the accurate control of the focusing position and the automatic correction of the temperature measurement precision are realized through the motor focusing position confirming algorithm, the optimal focusing point searching algorithm and the temperature value weighting algorithm, so that the temperature measurement precision and the working efficiency of the infrared thermometer are improved. The algorithm is simple to operate, high in focusing precision, high in temperature measurement precision and high in working efficiency, and can be widely applied to various occasions needing infrared temperature measurement.
According to the large-area source blackbody temperature self-correction method, the accurate control of the focusing position and the automatic correction of the temperature measurement precision are realized through the motor focusing position confirmation algorithm and the optimal focusing point searching algorithm, so that the temperature measurement precision and the working efficiency of the infrared thermometer are improved. The algorithm is simple to operate, high in focusing precision, high in temperature measurement precision and high in working efficiency, and can be widely applied to various occasions needing infrared temperature measurement.
The above detailed description is intended to illustrate the present invention by way of example only and not to limit the invention to the particular embodiments disclosed, but to limit the invention to the precise embodiments disclosed, and any modifications, equivalents, improvements, etc. that fall within the spirit and scope of the invention as defined by the appended claims.
Claims (4)
1. A large-area source blackbody temperature self-correcting method comprises the following steps:
S1, obtaining the optimal point of the temperature measurement precision of the infrared thermometer, continuously obtaining the pattern of focusing cross laser of the infrared thermometer on the surface of a blackbody by matching with unidirectional movement of a camera by a Z-axis motor, determining the movement direction of the motor by the number change of red pixel points in the image of the cross focusing laser, wherein the point with the least number of the red pixel points is the point with the highest temperature measurement precision of the infrared thermometer;
s2, measuring the temperature of the temperature measuring point at the temperature measuring precision optimal point of the infrared thermometer obtained in the step S1;
s3, repeating the step S2 to measure the temperature of each channel temperature measuring point of the large-area source black body;
S4, dividing the blackbody of each channel into three types according to different numbers of temperature measuring points of each channel in contact with the outside environment temperature, giving different weight distribution values to different temperature measuring points of the three types of blackbody, and obtaining corrected temperature values of the use surface of each channel of the large-surface source blackbody through a temperature value weighting algorithm;
s5, calculating the temperature difference between the front surface and the rear surface of each channel by adopting the corrected temperature value in the step S4, so as to calculate a temperature compensation value.
2. The method for self-correcting the temperature of a large-area source black body according to claim 1, which is characterized in that: step S1 comprises the steps of: confirming the focusing position of the motor by controlling a Z-axis motor in which the temperature measuring module is positioned, and controlling the focusing distance of an infrared thermometer in the temperature measuring module;
And searching the optimal focusing point of the camera, and judging the focusing accuracy of the infrared thermometer by counting the number of red pixel points in the cross laser focusing light spots, wherein the point with the minimum number of the red pixel points is judged to be the optimal focusing point of the infrared thermometer.
3. The method for self-correcting the temperature of a large-area source black body according to claim 1, which is characterized in that: in step S4, five temperature measuring points of each channel areThe first category is a temperature control channel with three temperature measuring points all in contact with the external environment, 15% of weight is assigned to the three environment contact points, 50% of weight is assigned to the central point, and 5% of weight is assigned to the rest points, namely the non-point source correction temperature/>; The second category is that two temperature measuring points are in contact with the external environment, 15% of weight is assigned to the two environment contact points, 50% of weight is assigned to the center, and 10% of weight is assigned to the other two points, namely the temperature/>, of the non-point source correction; Five temperature measurement points in the third category are not contacted with the external environment, 5% weight is allocated to each of the four points, and 80% weight is allocated to the center, namely the non-point source correction temperature/>。
4. The method for self-correcting the temperature of a large-area source black body according to claim 1, which is characterized in that: in step S5, the corrected temperature value of the use surface of each channel of the large-area source blackbody in step S4 is adopted and compared with the blackbody temperature value obtained by the blackbody rear surface temperature measuring sensor to obtain the front and rear surface temperature difference, and then the temperature difference is multiplied by a material and heat transfer coefficient, so that a temperature compensation value is obtained, and after the temperature compensation value is transmitted to an upper computer, the temperature control is carried out again, so that the temperature of the use surface of the blackbody is closer to the set temperature.
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