Infrared thermal imager start shutter temperature correction, temperature measurement method and equipment

Abstract

The application provides a kind of infrared thermal imager start-up shutter temperature correction, temperature measurement method and equipment, it is related to long time operation infrared thermal imager temperature measurement technical field, the method is by obtaining start-up shutter temperature, real-time shutter temperature and infrared detector Y16 data matrix before correction, according to start-up shutter temperature and real-time shutter temperature, Y16 data matrix before correction of infrared detector is corrected, the cut tail mean of the temperature matrix of the whole infrared detector is calculated, the absolute value of the difference between start-up shutter temperature and cut tail mean is judged and the size of first preset temperature value, if the absolute value is greater than first preset temperature value, new start-up shutter temperature is obtained, and new start-up shutter temperature is returned as start-up shutter temperature to iterate;If the absolute value is less than or equal to the first preset temperature value, then output the cut tail mean as the corrected start-up shutter temperature.The above-mentioned method can improve the accuracy of infrared thermal imager temperature measurement.

Description

Technical Field

[0001] This invention relates to the field of infrared thermal imager temperature measurement technology for long-term operation, and particularly to an infrared thermal imager startup shutter temperature correction, temperature measurement method and equipment. Background Technology

[0002] To ensure the accuracy of temperature measurements within the first hour of operation, existing solutions correct the center temperature based on ambient temperature. Specifically, this involves keeping the device warm in its operating environment for a period, then using the startup shutter temperature instead of ambient temperature to correct the center temperature. However, with seasonal changes or after a power outage and restart, the startup shutter temperature can no longer accurately represent ambient temperature. In such cases, this correction method leads to inaccurate center temperature readings, consequently causing inaccurate infrared thermal imager measurements. Summary of the Invention

[0003] The purpose of this invention is to provide a method and device for correcting and measuring the shutter temperature during the startup of an infrared thermal imager. The aim is to ensure that the shutter temperature during startup is always equivalent to the ambient temperature, thereby guaranteeing the accuracy of center temperature correction under seasonal changes and after power failure and restart, and ultimately improving the accuracy of temperature measurement by the infrared thermal imager. The specific technical solution is as follows:

[0004] A method for correcting the shutter temperature at startup of an infrared thermal imager, the method comprising the following steps:

[0005] S100: Acquire the startup shutter temperature, real-time shutter temperature, and Y16 data matrix before infrared detector correction;

[0006] S200. Correct the Y16 data matrix of the infrared detector before correction based on the power-on shutter temperature and the real-time shutter temperature to obtain the corrected Y16 data matrix.

[0007] S300. Substitute each Y16 data point in the corrected Y16 data matrix into the temperature measurement curve to obtain the temperature matrix of the entire infrared detector image, and calculate the tail-cut mean of the temperature matrix of the entire infrared detector image.

[0008] S400: Determine the absolute value of the difference between the startup shutter temperature and the mean value of the cropped tail, and compare it with the first preset temperature value. If the absolute value is greater than the first preset temperature value, obtain the new startup shutter temperature and return to step S200 for iteration. If the absolute value is less than or equal to the first preset temperature value, output the mean value of the cropped tail as the corrected startup shutter temperature.

[0009] Furthermore, in step S200, the modified formula is as follows:

[0010] Y16 修正后 =Y16 修正前+K1*(realShutterT-startShutterT)

[0011] Among them, Y16 修正后 For the corrected Y16 data, Y16 修正前 The data is Y16 before correction. K1 is the shutter temperature drift correction factor, realShutterT is the real-time shutter temperature, and startShutterT is the start-up shutter temperature.

[0012] Further, in step S300, the method for calculating the tail-cutting mean is as follows: draw a statistical distribution map of the temperature matrix of the entire infrared detector; calculate the standard deviation sigma and mean Avg of the temperature matrix; take the sub-temperature matrix with temperature values ​​in the range of [Avg-1*sigma, Avg+1*sigma], and calculate the average of the sub-temperature matrix, which is the tail-cutting mean.

[0013] Further, in step S400, the specific steps of obtaining a new startup shutter temperature and returning to step S200 for iteration using the new startup shutter temperature are as follows: Determine the difference between the startup shutter temperature and the average value of the cropped tail. If the startup shutter temperature is less than the average value of the cropped tail, add a second preset temperature value to the startup shutter temperature to obtain a new startup shutter temperature, and return to step S200 for iteration using the new startup shutter temperature. If the startup shutter temperature is greater than the average value of the cropped tail, subtract a third preset temperature value from the startup shutter temperature to obtain a new startup shutter temperature, and return to step S200 for iteration using the new startup shutter temperature.

[0014] Furthermore, in step S400, the first preset temperature value is between 0.1℃ and 3℃, and the second preset temperature value and the third preset temperature value are between 0.1℃ and 2℃.

[0015] Furthermore, the first preset temperature value is 2℃, and the second and third preset temperature values ​​are both 1℃.

[0016] The present invention also provides a computer device, including a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor executes the program to implement the steps of the infrared thermal imager startup shutter temperature correction method as described above.

[0017] The present invention also provides a method for measuring temperature with an infrared thermal imager, the method comprising the following steps:

[0018] S1000. Based on the corrected startup shutter temperature and real-time shutter temperature obtained by the infrared thermal imager startup shutter temperature correction method described above, the Y16 data matrix of the infrared detector before correction is corrected to obtain the corrected Y16 data matrix.

[0019] S2000: Substitute each Y16 data point in the corrected Y16 data matrix into the temperature measurement curve to obtain the temperature matrix of the entire infrared detector.

[0020] Furthermore, in step S1000, the modified formula is as follows:

[0021] Y16 修正后 =Y16 修正前 +K1*(realShutterT-startShutterT)

[0022] Among them, Y16 修正后 For the corrected Y16 data, Y16 修正前 The data is Y16 before correction. K1 is the shutter temperature drift correction factor, realShutterT is the real-time shutter temperature, and startShutterT is the start-up shutter temperature.

[0023] The present invention also provides a computer device, including a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor executes the program to implement the steps of the infrared thermal imager temperature measurement method as described above.

[0024] The present invention provides a method and device for correcting and measuring the shutter temperature at startup of an infrared thermal imager, which has the following beneficial effects:

[0025] This invention provides a method and device for correcting and measuring the startup shutter temperature of an infrared thermal imager. The method involves acquiring the startup shutter temperature, the real-time shutter temperature, and the Y16 data matrix of the infrared detector before correction. The Y16 data matrix is ​​corrected based on the startup and real-time shutter temperatures. Each Y16 data point in the corrected Y16 data matrix is ​​substituted into a temperature measurement curve to obtain the temperature matrix of the entire infrared detector image. The tail-cut mean of the temperature matrix of the entire infrared detector image is calculated. The absolute value of the difference between the startup shutter temperature and the tail-cut mean is compared to a first preset temperature value. If the absolute value is greater than the first preset temperature value, a new startup shutter temperature is acquired and returned as the startup shutter temperature for iteration. If the absolute value is less than or equal to the first preset temperature value, the output is... The average value of the cropped tail is used as the corrected startup shutter temperature. In practical applications, the target object usually occupies only a small part of the image captured by an infrared thermal imager, with most of the image being the background. Each pixel on the infrared thermal imager can measure a temperature value, resulting in a temperature matrix for the entire image. Most temperature values ​​in this matrix are closer to the ambient temperature. Therefore, by iteratively calculating the startup shutter temperature relative to the average value of the cropped tail of the entire image temperature matrix through the above steps, a startup shutter temperature close to the ambient temperature can be obtained. This ensures that the startup shutter temperature remains equivalent to the ambient temperature regardless of whether the device has been running for a long time or has been restarted after a power outage. This guarantees the accuracy of center temperature correction for seasonal changes and power outages, thereby improving the accuracy of infrared thermal imager temperature measurement. Attached Figure Description

[0026] Figure 1 The curve showing the change in Y16 data before shutter correction;

[0027] Figure 2 This is the curve showing the change in Y16 data after shutter speed correction;

[0028] Figure 3 The measured temperature change curve is obtained by substituting the corrected Y16 data into the temperature calibration curve;

[0029] Figure 4 A flowchart illustrating a method for correcting the shutter temperature at startup of an infrared thermal imager, provided by the present invention.

[0030] Figure 5 This is a general flowchart of an embodiment of the present invention;

[0031] Figure 6 This is a histogram of the overall temperature distribution of the infrared detector.

[0032] Figure 7 This is a schematic diagram of the sub-temperature matrix on the full-view temperature distribution histogram of the infrared detector;

[0033] Figure 8 This is a structural block diagram of a computer device according to an embodiment of the present invention;

[0034] Figure 9 A schematic flowchart of an infrared thermal imager temperature measurement method provided by the present invention;

[0035] Figure 10 The curve showing the temperature change measured by the infrared thermal imager when the shutter temperature is not corrected.

[0036] Figure 11 To correct the temperature change curve measured by the infrared thermal imager when the shutter temperature is at startup. Detailed Implementation

[0037] The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. The advantages and features of the present invention will become clearer from the following description. It should be noted that the drawings are all in a very simplified form and use non-precise proportions, and are only used to facilitate and clearly illustrate the purpose of the embodiments of the present invention.

[0038] Within the first hour of operation, the Y16 data of the infrared thermal imager will increase as the shutter temperature rises due to the machine's heat generation, until the device reaches a thermally stable state. The Y16 change curve is shown below. Figure 1 As shown.

[0039] The current solution is to keep the device warm in the operating environment for one hour, then turn it on and record the shutter temperature startShutterT at startup, and simultaneously record the real-time shutter temperature realShutterT. This is used to correct the Y16 data within one hour of startup. The calculation formula is as follows:

[0040] Y16 修正后 =Y16 修正前 +K1*(realShutterT-startShutterT)

[0041] Among them, Y16 修正后 For the corrected Y16 data, Y16 修正前 The data is Y16 before correction, and K1 is the shutter temperature drift correction factor.

[0042] The corrected Y16 data change curve is as follows Figure 2 As shown. Finally, substituting the corrected Y16 data into the temperature calibration curve yields a stable temperature value for the target. The temperature change curve of the target after shutter correction is shown in the figure. Figure 3 As shown.

[0043] The above-mentioned prior art correction is based on the start-up shutter temperature. Its premise is that the start-up shutter temperature can replace the ambient temperature, that is, the start-up shutter temperature ≈ the ambient temperature. However, there are two situations that will cause the start-up shutter temperature and the ambient temperature to be inequivalent: (1) After the equipment has been running for a period of time, the real-time shutter temperature is equal to the internal temperature of the equipment, which will be more than ten degrees higher than the actual ambient temperature. If the power is cut off and the equipment is restarted at this time, the start-up shutter temperature of the equipment will be equal to the real-time shutter temperature after restarting. Then the start-up shutter temperature cannot be equal to the ambient temperature, which will lead to inaccurate temperature measurement; (2) If the equipment is turned on in summer, the start-up shutter temperature is approximately equal to the summer temperature. When the equipment continues to run into winter, the ambient temperature is low, but the start-up shutter temperature is not updated. Similarly, the start-up shutter temperature cannot be equal to the ambient temperature at this time, which will lead to inaccurate temperature measurement.

[0044] To address the technical problems of the existing solutions, this invention adds a method for periodically correcting the shutter temperature of an infrared thermal imager upon startup, ensuring that the shutter temperature remains equivalent to the ambient temperature regardless of whether the device has been running for a long time or has been restarted after a power outage. This ensures the accuracy of temperature measurements during seasonal changes and after a power outage and restart.

[0045] Example 1

[0046] This embodiment provides a method for correcting the shutter temperature at startup of an infrared thermal imager. (See reference...) Figure 4 , 5 As shown, the method includes the following steps:

[0047] S100: Acquire the startup shutter temperature, real-time shutter temperature, and Y16 data matrix before infrared detector correction.

[0048] In infrared thermal imagers, a temperature sensor is attached to the shutter to collect the shutter temperature and transmit it to the processing unit. The processing unit can then obtain the shutter temperature at startup and the real-time shutter temperature.

[0049] The data output by the infrared detector, after sampling, is called X16 data (also known as the detector's raw data). The X16 data, after NUC correction (including two-point correction and single-point correction), is called Y16 data. The Y16 data values ​​of each pixel output by the infrared detector form a Y16 data matrix, which is the uncorrected Y16 data matrix before correction.

[0050] S200: Correct the Y16 data matrix of the infrared detector before correction based on the startup shutter temperature and the real-time shutter temperature to obtain the corrected Y16 data matrix.

[0051] Specifically, the correction method is as described above, and the formula is as follows:

[0052] Y16 修正后=Y16 修正前 +K1*(realShutterT-startShutterT)

[0053] Among them, Y16 修正后 For the corrected Y16 data, Y16 修正前 The data is Y16 before correction. K1 is the shutter temperature drift correction factor, realShutterT is the real-time shutter temperature, and startShutterT is the start-up shutter temperature.

[0054] S300. Substitute each Y16 data point in the corrected Y16 data matrix into the temperature measurement curve to obtain the temperature matrix of the entire infrared detector image, and calculate the tail-cut mean of the temperature matrix of the entire infrared detector image.

[0055] Obtaining the temperature of the target object from Y16 data through a temperature measurement curve is existing technology and will not be elaborated here.

[0056] Specifically, the calculation method for the tail-cutting mean is as follows: Plot the statistical distribution of the temperature matrix T of the entire infrared detector image, as shown below. Figure 6 As shown; calculate the standard deviation sigma and mean Avg of the temperature matrix T; take a sub-temperature matrix T1 with temperature values ​​in the range [Avg-1*sigma, Avg+1*sigma], as shown. Figure 7 As shown, the mean of the sub-temperature matrix T1 is calculated, which is the tailed mean Tavg. The calculation of the standard deviation and mean of the statistical distribution plot is a standard statistical technique that can be directly calculated using software, and will not be elaborated upon here.

[0057] S400: Determine the absolute value of the difference between the startup shutter temperature and the mean value of the cropped tail, and compare it with the first preset temperature value. If the absolute value is greater than the first preset temperature value, obtain the new startup shutter temperature and return to step S200 for iteration. If the absolute value is less than or equal to the first preset temperature value, output the mean value of the cropped tail as the corrected startup shutter temperature.

[0058] In one embodiment, the step of obtaining a new startup shutter temperature and returning to step S200 for iteration using the new startup shutter temperature is as follows: The startup shutter temperature is compared with the average value of the cropped tail. If the startup shutter temperature is less than the average value of the cropped tail, a second preset temperature value is added to the startup shutter temperature to obtain a new startup shutter temperature, and this new startup shutter temperature is returned to step S200 for iteration. If the startup shutter temperature is greater than the average value of the cropped tail, a third preset temperature value is subtracted from the startup shutter temperature to obtain a new startup shutter temperature, and this new startup shutter temperature is returned to step S200 for iteration.

[0059] The first preset temperature value is the criterion for exiting the iteration. If it is too large, it will lead to a large temperature measurement error; if it is too small, it will lead to an excessively long solution time, and may also prevent the iteration from exiting. The second and third preset temperature values ​​are the iteration step sizes. If they are too large, they may lead to a large temperature measurement error, and may also prevent the iteration from exiting; if they are too small, they will lead to an excessively long iteration time.

[0060] In one embodiment, the first preset temperature value is between 0.1℃ and 3℃, and the second preset temperature value and the third preset temperature value are between 0.1℃ and 2℃.

[0061] In a preferred embodiment, the first preset temperature value is 2°C, and the second and third preset temperature values ​​are both 1°C.

[0062] The present invention provides a method for correcting the startup shutter temperature of an infrared thermal imager. This method acquires the startup shutter temperature, the real-time shutter temperature, and the Y16 data matrix of the infrared detector before correction. It corrects the Y16 data matrix based on the startup and real-time shutter temperatures, substitutes each Y16 data point from the corrected Y16 data matrix into the temperature measurement curve to obtain the temperature matrix of the entire infrared detector image, calculates the tail-cut mean of the temperature matrix, and compares the absolute value of the difference between the startup shutter temperature and the tail-cut mean with a first preset temperature value. If the absolute value is greater than the first preset temperature value, a new startup shutter temperature is acquired and returned as the startup shutter temperature for iteration; if the absolute value is less than or equal to the first preset temperature value, the tail-cut mean is output. The value is used as the corrected startup shutter temperature. In practical applications, the target object usually occupies only a small part of the image captured by an infrared thermal imager, with most of the image being the background. Each pixel on the infrared thermal imager can measure a temperature value, resulting in a temperature matrix for the entire image. Most temperature values ​​in the temperature matrix are closer to the ambient temperature. Therefore, by iteratively calculating the tail-cut mean of the startup shutter temperature relative to the temperature matrix of the entire image through the above steps, a startup shutter temperature close to the ambient temperature can be obtained. This ensures that the startup shutter temperature remains equivalent to the ambient temperature regardless of whether the device has been running for a long time or has been restarted after a power outage. This ensures the accuracy of center temperature correction for seasonal changes and power outages, thereby improving the accuracy of infrared thermal imager temperature measurement.

[0063] Example 2

[0064] This embodiment provides a computer device, which includes: a memory, a processor, and a computer program stored in the memory and executable on the processor. When the processor executes the program, it implements the steps of the infrared thermal imager startup shutter temperature correction method described above.

[0065] like Figure 8 As shown, the computer device may include: at least one processor 71, such as a CPU (Central Processing Unit), at least one communication interface 73, memory 74, and at least one communication bus 72. The communication bus 72 is used to enable communication between these components. The communication interface 73 may include a display screen and a keyboard; optionally, the communication interface 73 may also include a standard wired interface or a wireless interface. The memory 74 may be high-speed RAM (Random Access Memory) or non-volatile memory, such as at least one disk storage device. Optionally, the memory 74 may also be at least one storage device located remotely from the aforementioned processor 71. The memory 74 stores application programs, and the processor 71 calls the program code stored in the memory 74 to execute any of the above-described method steps.

[0066] The communication bus 72 can be a peripheral component interconnect (PCI) bus or an extended industry standard architecture (EISA) bus, etc. The communication bus 72 can be divided into an address bus, a data bus, a control bus, etc. For ease of representation, Figure 8 The bus is represented by a single thick line, but this does not mean that there is only one bus or one type of bus.

[0067] The memory 74 may include volatile memory, such as random-access memory (RAM); the memory may also include non-volatile memory, such as flash memory, hard disk drive (HDD) or solid-state drive (SSD); the memory 74 may also include a combination of the above types of memory.

[0068] The processor 71 can be a central processing unit (CPU), a network processor (NP), or a combination of CPU and NP.

[0069] The processor 71 may further include a hardware chip. This hardware chip may be an application-specific integrated circuit (ASIC), a programmable logic device (PLD), or a combination thereof. The PLD may be a complex programmable logic device (CPLD), a field-programmable gate array (FPGA), a generic array logic (GAL), or any combination thereof.

[0070] Optionally, the memory 74 is also used to store program instructions. The processor 71 can call the program instructions to implement the infrared thermal imager startup shutter temperature correction method of the present invention.

[0071] Example 3

[0072] This embodiment provides a method for temperature measurement using an infrared thermal imager. (See reference...) Figure 9 As shown, the method includes the following steps:

[0073] S1000. Based on the corrected startup shutter temperature and real-time shutter temperature obtained by the infrared thermal imager startup shutter temperature correction method in the aforementioned embodiment 1, the Y16 data matrix of the infrared detector before correction is corrected to obtain the corrected Y16 data matrix.

[0074] Specifically, the correction method is as described above, and the formula is as follows:

[0075] Y16 修正后 =Y16 修正前 +K1*(realShutterT-startShutterT)

[0076] Among them, Y16 修正后 For the corrected Y16 data, Y16 修正前 The data is Y16 before correction. K1 is the shutter temperature drift correction factor, realShutterT is the real-time shutter temperature, and startShutterT is the start-up shutter temperature.

[0077] S2000: Substitute each Y16 data point in the corrected Y16 data matrix into the temperature measurement curve to obtain the temperature matrix of the entire infrared detector.

[0078] Obtaining the temperature of the target object from Y16 data through a temperature measurement curve is existing technology and will not be elaborated here.

[0079] The infrared thermal imager temperature measurement method provided by this invention corrects the Y16 data matrix of the infrared detector before correction by using the corrected startup shutter temperature and real-time shutter temperature. Each Y16 data in the corrected Y16 data matrix is ​​substituted into the temperature measurement curve to obtain the temperature matrix of the entire infrared detector image. This ensures that the startup shutter temperature is always equivalent to the ambient temperature, thereby ensuring the accuracy of center temperature correction after seasonal changes and power outages and restarts, and improving the accuracy of infrared thermal imager temperature measurement.

[0080] Example 4

[0081] This embodiment provides a computer device, which includes: a memory, a processor, and a computer program stored in the memory and executable on the processor. When the processor executes the program, it implements the steps of the infrared thermal imager temperature measurement method described above.

[0082] Verification Implementation Examples

[0083] Without incorporating shutter temperature correction, when the shutter temperature is abnormal during startup, the recorded temperature value of a 20°C blackbody over one hour is as follows: Figure 10 As shown, the measurement error of the target temperature is relatively large at this time. After correcting for the shutter temperature at startup, the temperature value of a 20°C blackbody recorded for one hour is as follows. Figure 11 As shown, the measured temperature value is close to the true value.

[0084] Those skilled in the art should understand that the present invention can be implemented in many other specific forms without departing from the spirit and scope of the invention. Any changes or modifications made by those skilled in the art based on the embodiments of the present invention and the above disclosure shall fall within the protection scope of the claims.

Claims

1. A method for correcting the shutter temperature at startup of an infrared thermal imager, characterized in that, The method includes the following steps: S100: Acquire the startup shutter temperature, real-time shutter temperature, and Y16 data matrix before infrared detector correction; S200. Correct the Y16 data matrix of the infrared detector before correction based on the power-on shutter temperature and the real-time shutter temperature to obtain the corrected Y16 data matrix. S300. Substitute each Y16 data point in the corrected Y16 data matrix into the temperature measurement curve to obtain the temperature matrix of the entire infrared detector image, and calculate the tail-cut mean of the temperature matrix of the entire infrared detector image. S400: Determine the absolute value of the difference between the startup shutter temperature and the average cut-off value and the first preset temperature value. If the absolute value is greater than the first preset temperature value, obtain a new startup shutter temperature and return to step S200 for iteration. If the absolute value is less than or equal to the first preset temperature value, output the average cut-off value as the corrected startup shutter temperature. The specific steps for obtaining a new startup shutter temperature and returning to step S200 for iteration are as follows: Determine the difference between the startup shutter temperature and the average cut-off value. If the startup shutter temperature is less than the average cut-off value, add the second preset temperature value to the startup shutter temperature to obtain a new startup shutter temperature and return to step S200 for iteration. If the startup shutter temperature is greater than the average cut-off value, subtract the third preset temperature value from the startup shutter temperature to obtain a new startup shutter temperature and return to step S200 for iteration.

2. The infrared thermal imager start-up shutter temperature correction method according to claim 1, characterized in that, In step S200, the corrected formula is as follows: ； in, The corrected Y16 data. The data is the Y16 data before correction. This is the shutter temperature drift correction factor. For real-time shutter temperature, This refers to the shutter temperature at startup.

3. The infrared thermal imager start-up shutter temperature correction method according to claim 1, characterized in that, In step S300, the method for calculating the tail-cutting mean is as follows: draw a statistical distribution map of the temperature matrix of the entire infrared detector; calculate the standard deviation sigma and mean Avg of the temperature matrix; take the sub-temperature matrix with temperature values ​​in the range of [Avg-1*sigma, Avg+1*sigma], and calculate the average of the sub-temperature matrix, which is the tail-cutting mean.

4. The infrared thermal imager start-up shutter temperature correction method according to claim 1, characterized in that, In step S400, the first preset temperature value is 0.1℃~3℃, and the second preset temperature value and the third preset temperature value are 0.1℃~2℃.

5. The infrared thermal imager start-up shutter temperature correction method according to claim 4, characterized in that, The first preset temperature value is 2℃, and the second and third preset temperature values ​​are both 1℃.

6. A computer device, comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, characterized in that, When the processor executes the program, it implements the steps of the infrared thermal imager startup shutter temperature correction method as described in any one of claims 1-5.

7. A method for measuring temperature using an infrared thermal imager, characterized in that, The method includes the following steps: S1000: The Y16 data matrix of the infrared detector before correction is corrected according to the corrected start-up shutter temperature and real-time shutter temperature obtained by the infrared thermal imager start-up shutter temperature correction method as described in any one of claims 1-5, so as to obtain the corrected Y16 data matrix. S2000: Substitute each Y16 data point in the corrected Y16 data matrix into the temperature measurement curve to obtain the temperature matrix of the entire infrared detector.

8. The infrared thermal imager temperature measurement method according to claim 7, characterized in that, In step S1000, the corrected formula is as follows: ； in, The corrected Y16 data. The data is the Y16 data before correction. This is the shutter temperature drift correction factor. For real-time shutter temperature, This refers to the shutter temperature at startup.

9. A computer device, comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, characterized in that, When the processor executes the program, it implements the steps of the infrared thermal imager temperature measurement method as described in any one of claims 7-8.

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