Colorimetric temperature measurement system and high-temperature flow field data processing method thereof

Abstract

The invention discloses a colorimetric temperature measurement system and a high-temperature flow field data processing method thereof. The colorimetric temperature measurement system and the data processing method thereof are designed based on grey body hypothesis. The method comprises the following steps: firstly, designing a colorimetric temperature measurement system and calibrating two channels so as to establish a monochromatic thermodetector; a nonlinear programming problem is constructed by using the temperature difference value of the monochromatic pyrometer and the colorimetric pyrometer, that is, the temperature and the emissivity are calculated by globally minimizing the difference between the colorimetric temperature measurement system and the monochromatic pyrometer; and finally, the temperature deviation of the monochromatic thermometer and the colorimetric temperature measurement system is provided, and the deviation of the monochromatic temperature can reflect the deviation of the emissivity. The method has the following advantages: errors caused by directly using grey body hypothesis in a conventional method can be avoided; the model suitable for the current state and the state of the high-temperature flow field (dispersed combustion clouds or strong combustion clouds) are speculated according to the measurement results.

Description

Technical Field

[0001] The present invention belongs to the technical field of temperature measurement, and in particular relates to a colorimetric temperature measurement system and a high-temperature flow field data processing method based on the colorimetric temperature measurement system to obtain the high-temperature flow field temperature. Background Art

[0002] High temperature flow field, also known as mixed flow field of metal vapor and arc with complex ion composition, high temperature and high speed, is caused by secondary arc generated by armature discharge during the launch of electromagnetic simulation device. Studies have shown that the mixed flow field of metal vapor and arc will change rapidly within a dynamic range of thousands of K (over 2000K) for tens of milliseconds. Since the mixed flow field of metal vapor and arc with complex ion composition, high temperature and high speed is difficult to simulate in the laboratory, it is difficult to obtain its emissivity model.

[0003] The reaction of fuel and oxygen produces a large amount of gas and smoke. When a thicker combustion cloud is formed, the emissivity model is more inclined to λ -n When there are more debris and more dispersed combustion clouds, the emissivity model is more inclined to the gray body hypothesis. This difference is difficult to judge directly. Therefore, the current data processing methods for high temperature flow fields and explosions are mainly divided into two categories: one is to directly use the gray body hypothesis, and the other is the emissivity model λ -n . Gray body assumption In order to simplify the calculation, it is usually assumed that the emissivity is independent of wavelength and temperature and remains constant. Therefore, for the colorimetric temperature measurement system, when the wavelength distance of the two channels is close, the emissivity ratio is usually assumed to be 1, that is, the emissivity ratio of 1 is directly substituted into the colorimetric temperature measurement principle to obtain the temperature. The advantage is that through this assumption, the complex radiation transfer equation can be reduced and the temperature calculation can be converted into a simpler form; however, its disadvantage is that the applicability of the gray body assumption is also limited, especially in some cases when the emissivity of the material changes greatly with temperature or wavelength, the gray body assumption may introduce certain errors. The advantage of the emissivity model is that it is of great significance to optimize temperature measurement, improve measurement accuracy, and adapt to a variety of application scenarios; however, its disadvantage is that the emissivity may change significantly under high temperature or strong radiation conditions. Therefore, for different materials, especially unknown materials, the accuracy of the model may be limited when there is a lack of accurate emissivity data.

[0004] In summary, based on the above assumptions or models, the high-temperature flow field data processing method still has the following two problems: (1) Due to the complexity of the high-temperature flow field, the emissivity model will be affected by factors such as temperature, wavelength, and type of material. Directly using the gray body assumption may lead to certain errors and cannot provide temperature deviations and analysis. (2) If the emissivity model assumption is used, only the temperature distribution and changes can be obtained, but the accurate temperature value cannot be obtained. Therefore, how to provide a high-temperature flow field data processing method to accurately obtain the high-temperature flow field temperature within a wide dynamic range is a technical problem that needs to be solved by technical personnel in this field. Summary of the invention

[0005] In view of the above-mentioned deficiencies in the prior art, the purpose of the present invention is to provide a colorimetric temperature measurement system and a high-temperature flow field data processing method based on the colorimetric temperature measurement system, so as to solve the problems that the prior art has low accuracy in obtaining high-temperature flow field temperature values ​​and limited scope of application.

[0006] To achieve the above purpose, the present invention adopts the following technical solutions:

[0007] A colorimetric temperature measurement system, characterized in that it includes a quartz lens, a spectroscope prism, two sets of monochromatic temperature measuring instruments CH1 and CH2, and a computer processing system; the monochromatic temperature measuring instrument CH1 includes a first narrowband filter (695±5nm), a first 50% attenuation plate and a high-speed camera A; the CH2 monochromatic temperature measuring instrument includes a second narrowband filter (800±5nm), a second 50% attenuation plate and a high-speed camera B; the high-speed cameras are equipped with lenses (Nikkor, f=200mm, aperture: f / 5.6), and work at 10,000 frames per second; the exposure time of the colorimetric temperature measurement system is 1 / 216000s, 1 / 397000s and 1 / 1000000s;

[0008] The computer processing system collects images from two high-speed cameras, and the sensitivity coefficient can be obtained through the gray value and exposure time, thereby obtaining the monochromatic temperature T CH1 , T CH2 and color temperature T CH12 ; Then through data processing, that is, iterative solution method, the corresponding single-color temperature and two-color temperature difference and mean absolute percentage error measurement results can be obtained: ΔT CH1-CH12 ,ΔT CH2-CH12 .

[0009] Furthermore, the calibration method of the colorimetric temperature measurement system is as follows: based on the exposure time, a blackbody furnace (7 / PyroG XIAN / YORK) with an opening diameter of 15 mm and a range of 1500 K to 3300 K is used to calibrate the colorimetric thermometer: the colorimetric thermometer is fixed at a position 2.5 m away from the blackbody furnace and on the same optical axis, and when the exposure time of the colorimetric thermometer is set to 1 / 216000 s, 1 / 397000 s and 1 / 1000000 s respectively, the blackbody furnace is adjusted between 2150 K and 3300 K with a step size of 25 K until the camera is close to saturation.

[0010] Furthermore, the spectroscope prism is selected from narrow-band filters (Ruiyan Optics, BPH695-10nm and BPH800-10nm) of HCBS1 (Hengyang Optics).

[0011] The present invention also provides a high temperature flow field data processing method based on a colorimetric temperature measurement system, wherein the colorimetric temperature measurement system is used to collect the thermal radiation generated by the high temperature flow field, and then the corresponding sensitivity is obtained by a switch and a computer processing system, and the monochromatic temperature T of the monochromatic temperature meter is obtained by calculation. CH1 , T CH2 And the two-color temperature T of the two-color thermometer CH12 , the corresponding single-color temperature and two-color temperature difference and mean absolute percentage error measurement results can be obtained.

[0012] Furthermore, after the high-speed camera completes the shooting, the emissivity ε(λ1), ε(λ2) and temperature T can be obtained by computer iterative calculation using the following formula: CH1 , T CH2 and T CH12 , and the corresponding difference and mean absolute percentage error between the monochromatic and bichromatic temperatures;

[0013]

[0014] Among them, ε(λ1),ε(λ2),T CH1 , T CH2 and T CH12 is an unknown number; based on 0<ε(λ1),ε(λ2)≤1, the values ​​of ε(λ1) and ε(λ2) can be obtained through two iterations, and the minimum ΔT corresponds to ε(λ1) and ε(λ2);

[0015] The pseudo code for the iteration is:

[0016]

[0017] By substituting ε(λ1) and ε(λ2) into formula (4) and formula (5), we can get the temperature T CH1 , TCH2 and T CH12 .

[0018] Furthermore, according to the principle of a monochromatic thermometer, which is to directly convert radiation intensity into grayscale values, combined with the formula Wien's displacement law and the high-speed camera imaging formula, the temperature can be expressed as the formula:

[0019]

[0020] The temperature of the colorimetric thermometer is calculated by the ratio of the radiation intensity received at the same temperature in two different wavelength channels (λ1=695nm, λ2=800nm); therefore, combining the formula Wien's displacement law and the high-speed camera imaging formula, the temperature can be expressed as the formula:

[0021]

[0022] Compared with the prior art, the present invention has the following beneficial effects:

[0023] 1. The present invention creatively designs a colorimetric temperature measurement system. First, the two channels of the designed colorimetric temperature measurement system are calibrated to establish a monochromatic thermometer. Then, a nonlinear programming problem is constructed using the temperature difference between the monochromatic pyrometer and the colorimetric pyrometer, that is, the temperature and emissivity are calculated by globally minimizing the difference between the colorimetric temperature measurement system and the monochromatic thermometer. The temperature deviation of the monochromatic thermometer and the colorimetric temperature measurement system is also provided, and the deviation of the monochromatic temperature can reflect the deviation of the emissivity.

[0024] 2. The data processing system of the present invention directly processes the original data of the colorimetric temperature measurement system multiple times, calculates the emissivity through multiple iterations, and then obtains two monochromatic temperatures and one bichromatic temperature. Among them, the difference in monochromatic temperature can also reflect the change in emissivity. And it has the following advantages: (1) It can avoid the error caused by directly using the gray body assumption in the conventional method. (2) It provides a reference error (deviation of monochromatic temperature and bichromatic temperature). (3) According to the measurement results, it is possible to infer the model suitable for the current state and the state of the high-temperature flow field (dispersed combustion cloud or dense combustion cloud).

[0025] 3. The present invention also has the following advantages: First, it can directly provide specific emissivity values ​​and emissivity change conditions. Second, it can test which emissivity model is suitable for the high-temperature flow field under the current conditions, thereby avoiding simply observing its temperature distribution and temperature change conditions. Third, it provides a reference deviation for the two-color temperature, that is, the deviation between the monochromatic temperature and the two-color temperature; and obtains an accurate emissivity model for the current conditions, thereby avoiding simply using the gray body hypothesis, so that the measurement results have the characteristics of high accuracy and wide application range. BRIEF DESCRIPTION OF THE DRAWINGS

[0026] Figure 1 This is a photo of the experimental system of the colorimetric thermometer of the present invention;

[0027] Figure 2 The composition and principle diagram of the colorimetric thermometer of the present invention;

[0028] Figure 3 This is a flow chart of a high temperature flow field data processing method based on a colorimetric temperature measurement system of the present invention;

[0029] Figure 4 The measurement results of the single-color temperature and the two-color temperature corresponding to Sub-rang1, Sub-rang2, and Sub-range3 in Example 1 are shown in FIG.

[0030] Figure 5 It is the difference and mean absolute percentage error between the monochromatic temperature and the bichromatic temperature corresponding to Sub-rang1, Sub-rang2, and Sub-range3 in Example 1. DETAILED DESCRIPTION

[0031] The present invention is described in detail below in conjunction with embodiments and drawings.

[0032] Example

[0033] See also Figure 1 , which is a real photo of the present invention. The present invention designs a colorimetric temperature measurement system and a data processing method based on the gray body hypothesis. First, a colorimetric temperature measurement system is designed and the two channels are calibrated to establish a monochrome thermometer; then, a nonlinear programming problem is constructed using the temperature difference between the monochrome pyrometer and the colorimetric pyrometer, that is, the temperature and emissivity are calculated by globally minimizing the difference between the colorimetric temperature measurement system and the monochrome thermometer; finally, the temperature deviation of the monochrome thermometer and the colorimetric temperature measurement system is provided, and the deviation of the monochrome temperature can reflect the deviation of the emissivity. It is possible to avoid the error caused by directly using the gray body hypothesis in conventional methods. According to the measurement results, the model suitable for the current state and the state of the high-temperature flow field (dispersed combustion cloud or intense combustion cloud) are inferred.

[0034] like Figure 2As shown, the present invention provides a colorimetric temperature measurement system, including a spectroscope prism, two sets of monochromatic thermometers CH1 and CH2, and a computer processing system; the monochromatic thermometer CH1 includes a narrowband filter (695±5nm), a 50% attenuation plate and a high-speed camera A; the CH2 monochromatic thermometer includes a narrowband filter (800±5nm), a 50% attenuation plate and a high-speed camera B; the high-speed cameras are equipped with lenses (Nikkor, f=200mm, aperture: f / 5.6), and all work at 10,000 frames per second; the exposure time of the colorimetric system is 1 / 216000s, 1 / 397000s and 1 / 1000000s; the colorimetric thermometer can simultaneously obtain the monochromatic temperature T of the monochromatic thermometer CH1 , T CH2 And the two-color temperature T of the two-color thermometer CH12 .

[0035] The computer processing system collects images from two high-speed cameras, and the sensitivity coefficient can be obtained through the gray value and exposure time, thereby obtaining the monochromatic temperature T CH1 , T CH2 and color temperature T CH12 ; Then through data processing, that is, iterative solution method, the corresponding single-color temperature and two-color temperature difference and mean absolute percentage error measurement results can be obtained: ΔT CH1-CH12 ,ΔT CH2-CH12 .

[0036] Further, the application of the colorimetric temperature measurement system is that when an armature is launched by a guide rail, the armature reaches the muzzle and the armature discharges to form a high-temperature flow field (secondary arc) of metal vapor and arc, and the high-temperature flow field has the characteristics of complex ion composition, high temperature and high speed. The colorimetric temperature measurement system is used to collect the thermal radiation generated by the high-temperature flow field. The radiation light is first converted into a parallel light beam through a quartz lens; then, the parallel light beam is half reflected and half projected through a beam splitter prism to form two identical light beams; secondly, the two light beams are respectively marked as CH1 and CH2 through two channels, that is, they are calibrated as a monochromatic temperature meter CH1 and a monochromatic temperature meter CH2; then they pass through a narrow-band filter (695±5nm), an attenuation plate (T=50%) and a narrow-band filter (800±5nm), an attenuation plate (T=50%); finally, images are formed on a high-speed camera A (FASTCAM SA5) and a high-speed camera B.

[0037] According to the measurement requirements, the maximum exposure time selected in this work is 1 / 216000s. At this time, according to the FASTCAM SA5 hardware manual and literature, the exposure time range of the instrument is 1 / 216000s, 1 / 397000s and 1 / 1000000s. After determining the exposure time, the two-color pyrometer is calibrated using a blackbody furnace (7 / PyroGXIAN / YORK) with an opening diameter of 15mm and a range of 1500k to 3300k. The two-color pyrometer is fixed at a distance of 2.5m from the blackbody furnace and on the same optical axis. When the exposure time of the two-color pyrometer is set to 1 / 216000s, 1 / 397000s and 1 / 1000000s respectively, the blackbody furnace is adjusted between 2150K and 3300K with a step size of 25K.

[0038] Furthermore, the present invention also provides a high temperature flow field data processing method based on a colorimetric temperature measurement system, wherein the thermal radiation generated by the high temperature flow field is collected by the colorimetric temperature measurement system, and then the computer processing system performs calculation processing on the acquired high temperature flow field data to obtain the corresponding sensitivity, and obtains the monochromatic temperature T of the monochromatic thermometer by calculation. CH1 , T CH2 And the two-color temperature T of the two-color thermometer CH12 , thereby obtaining the corresponding single-color temperature and two-color temperature difference and mean absolute percentage error measurement results.

[0039] After the high-speed camera completes the shooting, the emissivity ε(λ1), ε(λ2) and temperature T can be obtained by computer iterative calculation using the following formula: CH1 , T CH2 and T CH12 , and the corresponding difference and mean absolute percentage error between the monochromatic and bichromatic temperatures;

[0040]

[0041] Among them, ε(λ1),ε(λ2),T CH1 , T CH2 and T CH12 is an unknown number; based on 0<ε(λ1),ε(λ2)≤1, the values ​​of ε(λ1) and ε(λ2) can be obtained through two iterations, and the minimum ΔT corresponds to ε(λ1) and ε(λ2);

[0042] The pseudo code for the iteration is:

[0043]

[0044]

[0045] By substituting ε(λ1) and ε(λ2) into formula (4) and formula (5), we can get the temperature T CH1 , T CH2 and T CH12 .

[0046] See also Figure 4 , which are the measurement results of the monochromatic temperature and bichromatic temperature corresponding to Sub-rang1, Sub-rang2, and Sub-range3. It can be seen from the figure that the temperature distribution measured in the three sub-ranges and the corresponding emissivity.

[0047] Figure 5 The difference and average absolute percentage error measurement results of the monochromatic temperature and the two-color temperature corresponding to Sub-rang1, Sub-rang2, and Sub-range3. It can be seen from the figure that when the high-temperature flow field is measured by the present invention, the temperature deviation range of the monochromatic temperature and the two-color temperature is: 84.3K-170.5K, that is, 3.7%-6.4%, and the deviation of the two-color temperature is 25K-138.5K, that is, 1.1%-3.8%. This provides a reference error for the measurement results of the colorimeter. For similar measurements such as high-temperature flow fields, the colorimetric thermometer directly uses the emissivity ratio of 1 for measurement, and only observes its approximate temperature distribution, and does not discuss the temperature measurement deviation. It can be seen that the accuracy and reliability of the measurement results are significantly improved.

[0048] Furthermore, the data processing operation method of the present invention also includes:

[0049] 1. Obviously, the purpose of calibration is to determine the relationship between the output gray value and temperature, that is, to determine the sensitivity coefficient of the pyrometer. The sensitivity coefficient K of the colorimetric thermometer λ1,λ2 can be expressed as

[0050]

[0051] Then, according to the actual calibration data, the fitting formula of the colorimetric temperature measurement system is shown in formula (6).

[0052]

[0053] The sensitivity coefficient of the monochromatic temperature meter for CH1 and CH2 is:

[0054] S(λ i )=a(G(λ i )) 3 +b(G(λ i )) 2 +c(G(λ i ))+d (3)

[0055] 2. According to the principle of the monochrome thermometer, the radiation intensity is directly converted into grayscale value. Combining the formula of Wien's displacement law and the high-speed camera imaging formula, the temperature can be expressed as formula (4)

[0056]

[0057] The temperature of the colorimetric thermometer is calculated by the ratio of the radiation intensity received at the same temperature in two different wavelength channels (λ1=695nm, λ2=800nm). Therefore, combining the formula Wien's displacement law and the high-speed camera imaging formula, the temperature can be expressed as the formula:

[0058]

[0059] 3. Data processing method

[0060] It is obvious that the monochrome pyrometer and the colorimetric temperature measurement system measure the same field of view and the temperature is equal. The channel of the colorimetric thermometer is usually calibrated as a monochrome thermometer as an auxiliary device to refer to the shape and approximate distribution of the temperature. Based on the gray body hypothesis, the present invention further uses the data of the monochrome thermometer to estimate the temperature and emissivity. Specifically, a nonlinear programming problem is constructed by the difference in temperature between the monochrome thermometer and the colorimetric thermometer. As shown in formula (6).

[0061] min|ΔT CH1-CH12 ,ΔT CH2-CH12 ,ΔT CH1-CH2 |(6)

[0062] st0<ε(λ1),ε(λ2)≤1

[0063] Where, ΔT CH1-CH12 T CH1 and T CH12 The difference between CH2-CH12 T CH2 and T CH12 The difference between CH1-CH2 is the difference in monochromatic temperatures.

[0064] By iteratively solving this problem, we can obtain the emissivity ε(λ1), ε(λ2) and temperature T CH1 , T CH2 and T CH12 In addition, according to formula (4), the monochromatic temperature ΔT CH1-CH2 The difference is expressed as:

[0065]

[0066] Right now

[0067]

[0068] Consider that only temperature and emissivity are variables in Equation 7. Substituting the temperature into Equation (8) yields ε λ1 -ε λ2 Therefore, the temperature difference obtained by formula (7) can also represent the relative difference in emissivity obtained using this method under the gray body assumption. At this time, if ΔT CH1-CH2 When the value of is small and the ratio of the emissivity is close to 1, it is considered to conform to the gray body hypothesis. CH1-CH2 When it is large, other emissivity models λ -n ,-2≤n≤2 is substituted into formula (4), and then compared with the difference between it and the measured emissivity. When the values ​​are close, it is considered to be consistent with the current emissivity model.

[0069] 4. The solution process of data processing method is in the process Figure 3 The details are as follows:

[0070] After the shooting is completed, the grayscale value and exposure time can be obtained, and the grayscale value can be substituted into formula (2) and formula (3) to obtain the corresponding sensitivity. Then, these values ​​are substituted into formula (4) and formula (5) to obtain the temperature T CH1 , T CH2 and T CH12 At this time, substituting it into formula (6) can obtain the expression of formula (6):

[0071]

[0072] In this formula, there are five unknowns: ε(λ1), ε(λ2), T CH1 , T CH2 and T CH12 At the same time, because 0<ε(λ1),ε(λ2)≤1, this means that the values ​​of ε(λ1),ε(λ2) can be obtained through two iterations. The pseudo code of the iteration is:

[0073]

[0074] The processing standard is: ε(λ1), ε(λ2) corresponding to the smallest ΔT.

[0075] Then, by substituting ε(λ1) and ε(λ2) into formula (4) and formula (5), the temperature T can be obtained. CH1 , T CH2 andT CH12 ..

[0076] In summary, the present invention directly utilizes the original data of the colorimetric temperature measurement system for multiple processing, calculates the emissivity through multiple iterations, and then obtains two monochromatic temperatures and one bicolor temperature. Among them, the difference in monochromatic temperatures can also reflect the change in emissivity. First, it can directly provide specific emissivity values ​​and emissivity changes. Second, it tests which emissivity model is suitable for the high-temperature flow field under the current conditions, thereby avoiding simply observing its temperature distribution and temperature changes. Third, it provides a reference deviation for the bicolor temperature, that is, the deviation between the monochromatic temperature and the bicolor temperature; and obtains an accurate emissivity model for the current conditions, thereby avoiding simply using the gray body hypothesis, making the measurement results more convincing. The data processing method of the present invention has the characteristics of high precision and a wide range of applications.

[0077] Finally, it should be noted that the above embodiments are only used to illustrate the technical solution of the present invention rather than to limit the technical solution. Those skilled in the art should understand that those modifications or equivalent substitutions of the technical solution of the present invention that do not depart from the purpose and scope of the technical solution should be included in the scope of the claims of the present invention.

Claims

1. A colorimetric temperature measurement system, characterized in that: It includes a quartz lens, a spectroscope prism, two sets of monochromatic thermometers CH1 and CH2, and a computer processing system; the monochromatic thermometer CH1 includes a first narrow-band filter, a first 50% attenuation plate, and a high-speed camera A; the CH2 monochromatic thermometer includes a second narrow-band filter, a second 50% attenuation plate, and a high-speed camera B; the high-speed cameras are equipped with lenses and work at 10,000 frames per second; the exposure time of the colorimetric temperature measurement system is 1 / 216000s, 1 / 397000s, and 1 / 1000000s; The computer processing system collects images from two high-speed cameras, and the sensitivity coefficient can be obtained through the gray value and exposure time, thereby obtaining the monochromatic temperature T CH1 , T CH2 and color temperature T CH12 ; Then through data processing, that is, iterative solution method, the corresponding single-color temperature and two-color temperature difference and mean absolute percentage error measurement results can be obtained: ΔT CH1-CH12 ,ΔT CH2-CH12 .

2. The colorimetric temperature measurement system according to claim 1, characterized in that: The calibration method of the colorimetric temperature measurement system is as follows: based on the exposure time, a blackbody furnace with an opening diameter of 15 mm and a temperature range of 1500 K to 3300 K is used to calibrate the colorimetric thermometer: the colorimetric thermometer is fixed at a distance of 2.5 m from the blackbody furnace and on the same optical axis, and when the exposure time of the colorimetric thermometer is set to 1 / 216000 s, 1 / 397000 s and 1 / 1000000 s respectively, the blackbody furnace is adjusted between 2150 K and 3300 K with a step size of 25 K until the camera is close to saturation.

3. The colorimetric temperature measurement system according to claim 1, characterized in that: The beam splitter prism is a narrowband filter of HCBS1.

4. A high temperature flow field data processing method based on a colorimetric temperature measurement system, characterized in that: The colorimetric temperature measurement system of claim 1, 2 or 3 is used to collect the thermal radiation generated by the high-temperature flow field, and then the corresponding sensitivity is obtained by the switch and the computer processing system, and the monochromatic temperature T of the monochromatic thermometer is obtained by calculation. CH1 , T CH2 And the two-color temperature T of the two-color thermometer CH12 , the corresponding single-color temperature and two-color temperature difference and mean absolute percentage error measurement results can be obtained.

5. The high temperature flow field data processing method based on the colorimetric temperature measurement system according to claim 4 is characterized in that: After the high-speed camera completes the shooting, the emissivity ε(λ1), ε(λ2) and temperature T can be obtained by computer iterative calculation using the following formula: CH1 , T CH2 and T CH12 , and the corresponding difference and mean absolute percentage error between the monochromatic and bichromatic temperatures; Among them, ε(λ1), ε(λ2), T CH1 , T CH2 and T CH12 is an unknown number; based on 0<ε(λ1),ε(λ2)≤1, the values ​​of ε(λ1) and ε(λ2) can be obtained through two iterations, and the minimum ΔT corresponds to ε(λ1) and ε(λ2); The pseudo code for the iteration is: By substituting ε(λ1) and ε(λ2) into formula (4) and formula (5), we can get the temperature T CH1 , T CH2 and T CH12 .

6. The high temperature flow field data processing method based on the colorimetric temperature measurement system according to claim 4 is characterized in that: According to the principle of monochrome thermometer, the radiation intensity is directly converted into grayscale value. Combining the formula of Wien's displacement law and the high-speed camera imaging formula, the temperature can be expressed as the formula: The temperature of the colorimetric thermometer is calculated by the ratio of the radiation intensity received at the same temperature in two different wavelength channels (λ1=695nm, λ2=800nm); therefore, combining the formula Wien's displacement law and the high-speed camera imaging formula, the temperature can be expressed as the formula:

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