Thermal imaging movement temperature calibration method and device, computer equipment and storage medium

Abstract

The invention discloses a thermal imaging machine core temperature calibration method and device, computer equipment and a storage medium. The method comprises the following steps: performing temperature measurement on a plurality of black bodies with different temperature values by using a thermal imaging machine core loaded with reference calibration data, and recording a measurement result; establishing a temperature correction function according to a relation between an actual measurement temperature value measured by the black body and a standard temperature value of the black body; and correcting the newly measured temperature value by using the temperature correction function. By means of the design, all the imaging machine cores can multiplex one set of calibration data, repeated labor and resource waste caused by inaccurate temperature collection due to tedious calibration procedures are reduced, temperature collection and calibration work of a single thermal imaging machine core can be completed within two minutes, the production efficiency of the thermal imaging machine cores is greatly improved, and the production cost is reduced. And the production cost is saved.

Description

Technical Field

[0001] The present invention relates to the technical field of cameras, and more specifically to a thermal imaging core temperature calibration method, device, computer equipment and storage medium. Background Art

[0002] When the original thermal imaging movement is produced and the temperature data is collected for temperature calibration, each movement needs to be placed in a high and low temperature chamber, and the black body is outside the high and low temperature chamber. Different high and low temperature chamber parameters and black body parameters need to be set, which is cumbersome and has a very low fault tolerance. At the same time, due to the limitations of the high and low temperature chamber capacity and tooling, only a few thermal imaging movements can be placed at a time. Both the black body and the temperature chamber need a long time to stabilize. The entire temperature collection process takes several hours, and the temperature collection and calibration of only 9 movements can be completed in about 6 hours. The efficiency is low and wastes equipment resources such as high and low temperature chambers. Summary of the invention

[0003] The purpose of the present invention is to overcome the deficiencies of the prior art and to provide a thermal imaging core temperature calibration method, device, computer equipment and storage medium.

[0004] To achieve the above object, the present invention adopts the following technical solutions:

[0005] In a first aspect, the present invention provides a thermal imaging core temperature calibration method, comprising:

[0006] Use a thermal imaging core loaded with reference calibration data to measure the temperature of a plurality of black bodies with different temperature values ​​and record the measurement results;

[0007] A temperature correction function is established based on the relationship between the actual temperature value measured on the black body and the standard temperature value of the black body;

[0008] The newly measured temperature value is corrected using the temperature correction function.

[0009] Furthermore, the standard temperature value of the selected black body is within the range that can be measured by the thermal imaging core.

[0010] Furthermore, there are four black bodies with different temperature values, namely a first black body, a second black body, a third black body and a fourth black body; the standard temperature value of the first black body is close to the minimum value of the range that can be measured by the thermal imaging core, the standard temperature value of the fourth black body is close to the maximum value of the range that can be measured by the thermal imaging core, the standard temperature value of the second black body and the standard temperature value of the third black body are between the standard temperature value of the first black body and the standard temperature value of the fourth black body, and the standard temperature value of the second black body is less than the standard temperature value of the third black body.

[0011] Furthermore, the temperature correction function is established according to the relationship between the actual measured temperature value of the black body and the standard temperature value of the black body, including:

[0012] Analyze the difference between the actual temperature value measured by the black body and the standard temperature value of the black body;

[0013] Select the corresponding fitting equation according to the analysis results;

[0014] The parameters of the selected fitting equation are adjusted to obtain the final temperature correction function.

[0015] In a second aspect, the present invention further provides a thermal imaging core temperature calibration device, comprising:

[0016] A measurement and recording unit, used to measure the temperature of a plurality of black bodies with different temperature values ​​using a thermal imaging core loaded with reference calibration data and record the measurement results;

[0017] A function establishment unit, used for establishing a temperature correction function according to the relationship between the actual measured temperature value of the black body and the standard temperature value of the black body;

[0018] The correction unit is used to correct the newly measured temperature value using a temperature correction function.

[0019] Furthermore, the standard temperature value of the selected black body is within the range that can be measured by the thermal imaging core.

[0020] Furthermore, there are four black bodies with different temperature values, namely a first black body, a second black body, a third black body and a fourth black body; the standard temperature value of the first black body is close to the minimum value of the range that can be measured by the thermal imaging core, the standard temperature value of the fourth black body is close to the maximum value of the range that can be measured by the thermal imaging core, the standard temperature value of the second black body and the standard temperature value of the third black body are between the standard temperature value of the first black body and the standard temperature value of the fourth black body, and the standard temperature value of the second black body is less than the standard temperature value of the third black body.

[0021] Furthermore, the function establishment unit includes:

[0022] An analysis module, used for analyzing the difference between the actual measured temperature value measured by the black body and the standard temperature value of the black body;

[0023] A selection module is used to select a corresponding fitting equation according to the analysis results;

[0024] The parameter adjustment module is used to adjust the parameters of the selected fitting equation to obtain the final temperature correction function.

[0025] In a third aspect, the present invention further provides a computer device, comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor implements the thermal imaging core temperature calibration method as described above when executing the computer program.

[0026] In a fourth aspect, the present invention further provides a computer-readable storage medium, wherein the storage medium stores a computer program, wherein the computer program includes program instructions, and when the program instructions are executed by a processor, the processor executes the thermal imaging core temperature calibration method as described above.

[0027] Compared with the prior art, the present invention has the following beneficial effects: a thermal imaging core temperature calibration method, comprising: using a thermal imaging core loaded with reference calibration data to measure the temperature of a plurality of black bodies with different temperature values ​​and record the measurement results; establishing a temperature correction function according to the relationship between the actual measured temperature value of the black body and the standard temperature value of the black body; and using the temperature correction function to correct the newly measured temperature value. With such a design, all imaging cores can reuse a set of calibration data, reducing the repetitive labor and resource waste caused by the inaccurate temperature collection of the cumbersome calibration process, so that the temperature collection and calibration work of a single thermal imaging core can be completed within two minutes, greatly improving the production efficiency of the thermal imaging core and saving production costs.

[0028] The above description is only an overview of the technical solution of the present invention. In order to more clearly understand the technical means of the present invention, it can be implemented in accordance with the contents of the specification. In order to make the above and other purposes, features and advantages of the present invention more obvious and easy to understand, the following preferred embodiments are specifically cited and described in detail as follows. BRIEF DESCRIPTION OF THE DRAWINGS

[0029] In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the accompanying drawings required for use in the description of the embodiments will be briefly introduced below. Obviously, the accompanying drawings described below are some embodiments of the present invention. For ordinary technicians in this field, other accompanying drawings can be obtained based on these accompanying drawings without paying any creative work.

[0030] Figure 1 A flow chart of a thermal imaging core temperature calibration method provided by a specific embodiment of the present invention;

[0031] Figure 2 A schematic block diagram of a thermal imaging core temperature calibration device provided by a specific embodiment of the present invention;

[0032] Figure 3 A schematic block diagram of a computer device provided for a specific embodiment of the present invention;

[0033] Figure 4A corrected comparison table provided for a specific embodiment of the present invention;

[0034] Figure 5 A table of calibration between the new and old methods provided for a specific embodiment of the present invention. DETAILED DESCRIPTION

[0035] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0036] It should be understood that when used in this specification and the appended claims, the terms "include" and "comprises" indicate the presence of described features, integers, steps, operations, elements and / or components, but do not exclude the presence or addition of one or more other features, integers, steps, operations, elements, components and / or combinations thereof.

[0037] It should also be understood that the terms used in the present specification are only for the purpose of describing specific embodiments and are not intended to limit the present invention. As used in the present specification and the appended claims, unless the context clearly indicates otherwise, the singular forms "a", "an" and "the" are intended to include plural forms.

[0038] It should be further understood that the term "and / or" used in the present description and the appended claims refers to and includes any and all possible combinations of one or more of the associated listed items.

[0039] The embodiment of the present invention provides a thermal imaging core temperature calibration method, which includes the following steps: S10-S30.

[0040] S10, using a thermal imaging core loaded with reference calibration data to measure the temperature of a plurality of black bodies with different temperature values ​​and record the measurement results.

[0041] There will be certain individual differences in the production process of thermal imaging movements, and different movements may have deviations in the temperature measurement in the initial state. The benchmark calibration data provides a unified, accurately calculated and verified temperature reference standard for all movements. With this standard, no matter which movement performs temperature measurement, there is a common benchmark for comparison and calibration, ensuring the consistency and comparability of temperature measurement between different movements. If there is no benchmark calibration data, simply comparing the blackbody temperature value measured by the movement with the standard blackbody temperature value to determine the difference requires complex calculations and adjustments each time, and different movements may require different calibration methods, which is inefficient and prone to errors.

[0042] In order to more clearly understand the role of the benchmark calibration data in this solution, the following explanation is given: the thermal imaging movement may have certain differences in different environments and production batches. The benchmark calibration data will first determine a unified temperature measurement starting point and scale standard. For example, it is stipulated that under certain physical conditions, the temperature value that the thermal imaging movement should output is a fixed value, and this value becomes the basis for all subsequent measurements. It is like we calibrate the zero scale of the ruler so that the subsequent length measurement can have an accurate starting point. It will clarify quantitative indicators such as the thermal imaging signal intensity or digital output value corresponding to different temperature values. For example, when measuring a standard 50℃ black body, the benchmark calibration data stipulates that the digital signal value that the thermal imaging movement should output is 1000 (a hypothetical number), then all thermal imaging movements should use a value close to 1000 as the standard when measuring 50℃, so as to unify the measurement output of different movements for the same temperature.

[0043] By using a dedicated burning device and following the standard burning process, the pre-generated reference calibration data can be burned into the memory chip inside the thermal imaging movement. During the burning process, it is necessary to ensure that the communication between the burning device and the movement is stable and the data transmission is accurate.

[0044] It should be noted that different application scenarios may have different temperature measurement requirements for thermal imaging cores, and the benchmark calibration data can be customized and adjusted according to different application requirements. During the production process, the benchmark calibration data suitable for a specific application scenario is downloaded to the core. After measuring the standard blackbody temperature value, the core can better adapt to the temperature measurement requirements in the corresponding scenario based on these data and algorithms, and provide more accurate and reliable temperature data.

[0045] A standard black body is an object that can stably emit a specific temperature, and its temperature is known and accurate. After downloading the benchmark calibration data to the thermal imaging movement, the movement is asked to measure the temperature values ​​of several standard black bodies in order to further calibrate and verify the temperature measurement function of the movement. Because the temperature of the standard black body is fixed, the data obtained after the movement measures it can be compared and analyzed with the benchmark calibration data and the actual temperature of the standard black body.

[0046] The number of black bodies can be determined according to actual needs. In this solution, four black bodies are selected, marked as the first black body, the second black body, the third black body and the fourth black body. The temperature setting of each black body should be representative, covering the measurement range of the thermal imaging core, and the standard temperature value of the selected black body should be within the range that the thermal imaging core can measure. The standard temperature value of the first black body is close to the minimum value of the range that the thermal imaging core can measure, the standard temperature value of the fourth black body is close to the maximum value of the range that the thermal imaging core can measure, the standard temperature value of the second black body and the standard temperature value of the third black body are between the standard temperature value of the first black body and the standard temperature value of the fourth black body, and the standard temperature value of the second black body is less than the standard temperature value of the third black body.

[0047] For example, if the temperature range that the thermal imaging core can measure is -20℃ to 100℃, then the temperature of the first black body is set to a value close to the lower limit, such as -18℃; the temperature of the fourth black body is set to a value close to the upper limit, such as 98℃; the temperature values ​​of the second and third black bodies are in the middle, and the temperature of the second black body is set to 20℃ and the temperature of the third black body is set to 60℃. The temperature stability of the black body should be controlled within a very small range, such as ±0.1℃, to ensure the accuracy of the measurement results.

[0048] Place the thermal imaging core and four black bodies in a stable and interference-free measurement environment. For example, choose a laboratory environment with a constant temperature and no strong electromagnetic interference. In order to ensure that the thermal imaging core can accurately measure the temperature of the black body, the relative position and distance between the thermal imaging core and the black body must be adjusted. The lens of the thermal imaging core should face the radiation surface of the black body at a moderate distance, which can ensure that the core can receive sufficiently strong infrared radiation and ensure the accuracy of the measurement.

[0049] Measurement process: Start the thermal imaging movement and make it enter normal working state. According to the set order, measure the temperature of four black bodies in turn. First, aim the thermal imaging movement at the first black body, wait for the movement measurement to stabilize, read and record the temperature value displayed by the movement at this time, and record it as T1. The criterion for judging the stability of measurement can be that the temperature value fluctuates within a very small range for multiple consecutive measurements, such as ±0.2℃. For example, after 3 measurements, the temperature values ​​are -17.8℃, -17.9℃, and -17.8℃ respectively, then record T1=-17.8℃. Then, according to the same method, measure the second black body, the third black body, and the fourth black body in turn, and record the measurement results as T2, T3, and T4 respectively.

[0050] Data recording and storage: The four measured temperature values ​​T1, T2, T3 and T4 are stored in the storage unit inside the thermal imaging core.

[0051] By using multiple black bodies with different temperature values, and the temperature values ​​of these black bodies cover the measurement range of the thermal imaging movement, the measurement performance of the movement at different temperature points can be fully tested. At the same time, using the movement loaded with benchmark calibration data for measurement, the measurement results have a unified reference standard, reducing the measurement error caused by individual differences in the movement and improving the accuracy of temperature measurement.

[0052] S20. Establish a temperature correction function according to the relationship between the actual temperature value measured for the black body and the standard temperature value of the black body.

[0053] In one embodiment, step S20 specifically includes the following steps: S201 - S203 .

[0054] S201. Analyze the difference between the actual temperature value measured by the black body and the standard temperature value of the black body.

[0055] Extract the actual measured temperature value from the data storage location after the thermal imaging core completes the measurement of multiple black bodies with different temperatures. For example, obtain the actual measured temperature values ​​T1, T2, T3, and T4 obtained by measuring four black bodies with different temperatures. At the same time, clarify the standard temperature value corresponding to each black body. These standard temperature values ​​are set and recorded when preparing the black body. For example, the standard temperature value of the first black body is -10°C, the second black body is 30°C, the third black body is 70°C, and the fourth black body is 100°C.

[0056] The actual measured temperature values ​​are matched with the corresponding standard temperature values ​​one by one to form data pairs. They can be recorded in a table.

[0057] S202. Select a corresponding fitting equation according to the analysis results.

[0058] Using simple mathematical operations, the deviation between the actual measured temperature value and the standard temperature value is calculated for each data pair. Taking the first data pair (T1, -10°C) as an example, the deviation value ΔT1 = T1-(-10°C) is calculated. Through such calculations, four deviation values ​​ΔT1, ΔT2, ΔT3, and ΔT4 are obtained. These deviation values ​​intuitively reflect the degree of deviation of the thermal imaging core from the standard value when measuring at different temperature points. For example, if T1 = -8°C, then ΔT1 = -8°C-(-10°C) = 2°C, indicating that when measuring the first black body temperature, the measured value of the thermal imaging core is 2°C higher than the standard value.

[0059] By observing the changing trends of these deviation values, we can preliminarily judge the measurement characteristics of the thermal imaging core in different temperature ranges. For example, if the deviation value gradually increases with the increase of the black body standard temperature value, it may mean that the measurement deviation of the thermal imaging core in the high temperature area is large.

[0060] By obtaining the trend of the deviation value. If the deviation value shows a roughly uniform change with the change of the standard temperature value, that is, the relationship between the deviation value and the standard temperature value is approximately a linear relationship, then a linear fitting equation can be used. For example, by drawing a scatter plot with the standard temperature value as the horizontal axis and the deviation value as the vertical axis (using the chart function of Excel), it is found that these scattered points are roughly distributed near a straight line, indicating that the linear fit is appropriate.

[0061] The general form of the linear fitting equation is y=kx+b, where x is the actual measured temperature value, y is the corrected temperature value (i.e., the standard temperature value), k is the slope, and b is the intercept. In this case, this equation is selected to describe the relationship between the actual measured temperature value and the standard temperature value, and the values ​​of k and b are subsequently determined by calculation.

[0062] If the variation trend of the deviation value shows obvious nonlinear characteristics, such as the deviation value changes at different speeds in different temperature ranges, or the relationship between the deviation value and the standard temperature value presents a curve shape. For example, when a scatter plot is drawn, it is found that the scattered points form a curved curve, and there may be inflection points, etc., which indicates that it is necessary to consider using a nonlinear fitting equation.

[0063] Common nonlinear fitting equations include polynomial fitting equations (such as y = a 0 +a 1 x+a 2 x 2 +…+a m x n, n is the polynomial degree), exponential fitting equation (such as y = a*e^(bx)), etc. Select the appropriate equation according to the specific shape of the deviation curve. For example, if the deviation curve has different trends in the lower and higher temperature areas and presents a quadratic function curve shape, the quadratic polynomial fitting equation (y = a 0 +a 1 x+a 2 x 2 ) is more appropriate; if the deviation curve shows an exponential growth or decay trend, the exponential fitting equation is more appropriate.

[0064] S203, adjusting parameters of the selected fitting equation to obtain a final temperature correction function.

[0065] Use mathematical methods such as the least squares method to determine the parameters k and b in the linear fitting equation y=kx+b. The principle of the least squares method is to adjust the values ​​of k and b so that the sum of the squares of the distances from all data points (actual measured temperature values ​​and corresponding standard temperature values) to the fitting line is minimized. You can use professional mathematical calculation software (such as Matlab) or write a program to implement the least squares method calculation.

[0066] For nonlinear fitting equations, the least squares method and other optimization algorithms are also used to adjust the parameters in the equation. 0 +a 1 x+a 2 x 2 For example, adjust a by the least squares method 0 、a 1 、a 2 The value of makes the sum of the squares of the distances from all data points to the fitted curve as small as possible.

[0067] By deeply analyzing the difference between the actual measured temperature value and the standard temperature value, selecting the appropriate fitting equation and accurately adjusting the parameters, the established temperature correction function can perform effective correction according to the actual measurement situation of the thermal imaging movement.

[0068] S30: Correct the newly measured temperature value using a temperature correction function.

[0069] The temperature correction function established in the previous step, whether it is a linear fitting function (such as y = kx + b) or a nonlinear fitting function (such as y = a 0 +a 1 x+a 2 x 2 ), are stored in the control system of the thermal imaging device. The control system can be a microcontroller (such as the STM32 series) or a digital signal processor (DSP). For example, using an STM32 microcontroller, the parameters of the temperature correction function (k, b or a0 、a 1 、a 2 When temperature correction is required, the microcontroller reads these parameters from the flash memory.

[0070] If the temperature correction function is a linear fitting function y=kx+b, substitute the newly measured temperature value T_new into the function. For example, if k=0.98, b=1.2, T_new=50°C, then the corrected temperature value T_corrected=0.98×50+1.2=49+1.2=50.2°C. For another example, if the temperature correction function is a quadratic polynomial fitting function y=a 0 +a 1 x+a 2 x 2 , assuming a 0 =0.01, a 1 =0.5, a 2 =-2, T_new=60℃. Then T_corrected=0.01×60 2 +0.5×60-2=0.01×3600+30-2=36+30-2=64℃.

[0071] The corrected temperature value T_corrected is output to the display device. The display device can be the display screen of the thermal imaging device itself, or it can be connected to an external display through a communication interface (such as HDMI, RS485, etc.). For example, in a security monitoring system, the thermal imaging device displays the corrected temperature value on the monitoring screen through the HDMI interface for the operator to view.

[0072] By using a precisely established temperature correction function to correct the newly measured temperature value, the measurement error of the thermal imaging movement itself and the influence of environmental factors can be effectively eliminated. In practical applications, the temperature measurement error after correction can be controlled within a very small range, such as within ±0.5°C, which greatly improves the accuracy of temperature measurement. This enables thermal imaging equipment to provide reliable temperature data and ensure product quality and production safety in scenarios with extremely high temperature accuracy requirements, such as medical equipment testing and temperature monitoring in the electronic chip manufacturing process.

[0073] In the present invention, all imaging movements can reuse a set of calibration data, reducing the duplication of labor and waste of resources caused by inaccurate temperature collection in cumbersome calibration procedures, so that the temperature collection and calibration of a single thermal imaging movement can be completed within two minutes, greatly improving the production efficiency of thermal imaging movements and saving production costs.

[0074] like Figure 4As shown in the figure, by measuring other temperature values ​​through fitting equations, it is calculated that the temperature errors after correction are all within the range of ±3°C, which is in line with expectations. Figure 5 As shown, by comparing the temperature measurement results of the whole machine using the new method (the solution proposed by the applicant) with those using the old method (the existing solution), the temperature measurement of the equipment using the new method is within the allowable error range, which is in line with expectations.

[0075] It should be understood that the order of execution of the steps in the above embodiment does not necessarily mean the order of execution. The execution order of each process should be determined by its function and internal logic, and should not constitute any limitation on the implementation process of the embodiment of the present invention.

[0076] The embodiment of the present invention also provides a thermal imaging core temperature calibration device, which is used to perform the steps in any embodiment of the thermal imaging core temperature calibration method described above. Figure 2 , Figure 2 FIG. 1 is a schematic block diagram of a thermal imaging core temperature calibration device 100 provided in an embodiment of the present application. The thermal imaging core temperature calibration device 100 specifically includes:

[0077] The measurement and recording unit 110 is used to measure the temperature of a plurality of black bodies with different temperature values ​​using a thermal imaging core loaded with reference calibration data and record the measurement results; the function establishment unit 120 is used to establish a temperature correction function according to the relationship between the actual measured temperature value of the black body and the standard temperature value of the black body; the correction unit 130 is used to correct the newly measured temperature value using the temperature correction function.

[0078] In one embodiment, the function establishment unit 120 includes:

[0079] The analysis module is used to analyze the difference between the actual measured temperature value of the black body and the standard temperature value of the black body; the selection module is used to select the corresponding fitting equation according to the analysis result; the parameter adjustment module is used to adjust the parameters of the selected fitting equation to obtain the final temperature correction function.

[0080] It should be noted that those skilled in the art can clearly understand that the specific implementation process of the above-mentioned thermal imaging core temperature calibration device 100 and each unit can refer to the corresponding description in the aforementioned method embodiment, and for the convenience and brevity of description, it will not be repeated here.

[0081] The above-mentioned thermal imaging core temperature calibration device can be implemented in the form of a computer program, which can be used in Figure 3 Runs on the computer device shown.

[0082] See also Figure 3 , Figure 3700 is a schematic block diagram of a computer device provided in an embodiment of the present application. The computer device 700 may be a server, wherein the server may be an independent server or a server cluster composed of multiple servers.

[0083] like Figure 3 As shown, the computer device includes a memory, a processor, and a computer program stored in the memory and executable on the processor. When the processor executes the computer program, the steps of the thermal imaging core temperature calibration method as described above are implemented.

[0084] The computer device 700 includes a processor 720 , a memory, and a network interface 750 connected via a system bus 710 , wherein the memory may include a non-volatile storage medium 730 and an internal memory 740 .

[0085] The non-volatile storage medium 730 can store an operating system 731 and a computer program 732. When the computer program 732 is executed, the processor 720 can execute a thermal imaging core temperature calibration method.

[0086] The processor 720 is used to provide computing and control capabilities and support the operation of the entire computer device 700.

[0087] The internal memory 740 provides an environment for the operation of the computer program 732 in the non-volatile storage medium 730. When the computer program 732 is executed by the processor 720, the processor 720 can execute the thermal imaging core temperature calibration method.

[0088] The network interface 750 is used for network communication, such as sending assigned tasks, etc. Those skilled in the art will appreciate that Figure 3 The structure shown in the figure is only a block diagram of a part of the structure related to the present application scheme, and does not constitute a limitation on the computer device 700 to which the present application scheme is applied. The specific computer device 700 may include more or fewer components than those shown in the figure, or combine certain components, or have a different arrangement of components. The processor 720 is used to run the program code stored in the memory to implement the thermal imaging core temperature calibration method.

[0089] Those skilled in the art will understand that Figure 3 The embodiments of the computer device shown in the figure do not constitute a limitation on the specific composition of the computer device. In other embodiments, the computer device may include more or fewer components than shown in the figure, or combine certain components, or arrange the components differently. For example, in some embodiments, the computer device may only include a memory and a processor. In such embodiments, the structure and function of the memory and the processor are the same as those of the embodiment of the present invention. Figure 3 The embodiments shown are consistent and will not be described again here.

[0090] It should be understood that in the embodiment of the present application, the processor 720 may be a central processing unit (CPU), and the processor 720 may also be other general-purpose processors, digital signal processors (DSP), application-specific integrated circuits (ASIC), field-programmable gate arrays (FPGA) or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, etc. Among them, the general-purpose processor may be a microprocessor or the processor may also be any conventional processor, etc.

[0091] In another embodiment of the present invention, a computer-readable storage medium is provided. The computer-readable storage medium may be a non-volatile computer-readable storage medium. The computer-readable storage medium stores a computer program, wherein when the computer program is executed by a processor, the thermal imaging core temperature calibration method disclosed in the embodiment of the present invention is implemented.

[0092] Those skilled in the art can clearly understand that, for the convenience and simplicity of description, the specific working process of the above-described equipment, devices and units can refer to the corresponding process in the aforementioned method embodiment, and will not be repeated here. Those of ordinary skill in the art can appreciate that the units and algorithm steps of each example described in conjunction with the embodiments disclosed herein can be implemented with electronic hardware, computer software or a combination of the two. In order to clearly illustrate the interchangeability of hardware and software, the composition and steps of each example have been generally described in the above description according to the function. Whether these functions are executed in hardware or software depends on the specific application and design constraints of the technical solution. Professional and technical personnel can use different methods to implement the described functions for each specific application, but such implementation should not be considered to exceed the scope of the present invention.

[0093] In the several embodiments provided by the present invention, it should be understood that the disclosed equipment, devices and methods can be implemented in other ways. For example, the device embodiments described above are only schematic. For example, the division of the units is only a logical function division. There may be other division methods in actual implementation. Units with the same function may also be combined into one unit. For example, multiple units or components may be combined or integrated into another device, or some features may be ignored or not executed. In addition, the mutual coupling or direct coupling or communication connection shown or discussed may be an indirect coupling or communication connection through some interfaces, devices or units, or may be electrical, mechanical or other forms of connection.

[0094] The units described as separate components may or may not be physically separated, and the components shown as units may or may not be physical units, that is, they may be located in one place or distributed on multiple network units. Some or all of the units may be selected according to actual needs to achieve the purpose of the embodiments of the present invention.

[0095] In addition, each functional unit in each embodiment of the present invention may be integrated into one processing unit, or each unit may exist physically separately, or two or more units may be integrated into one unit. The above-mentioned integrated unit may be implemented in the form of hardware or in the form of software functional units.

[0096] If the integrated unit is implemented in the form of a software functional unit and sold or used as an independent product, it can be stored in a storage medium. Based on this understanding, the technical solution of the present invention is essentially or the part that contributes to the prior art, or all or part of the technical solution can be embodied in the form of a software product. The computer software product is stored in a storage medium, including several instructions for a computer device (which can be a personal computer, server, or network device, etc.) to perform all or part of the steps of the method described in each embodiment of the present invention. The aforementioned storage medium includes: U disk, mobile hard disk, read-only memory (ROM, Read-Only Memory), disk or optical disk and other media that can store program codes.

[0097] The above is only a specific embodiment of the present invention, but the protection scope of the present invention is not limited thereto. Any technician familiar with the technical field can easily think of various equivalent modifications or replacements within the technical scope disclosed by the present invention, and these modifications or replacements should be included in the protection scope of the present invention. Therefore, the protection scope of the present invention shall be based on the protection scope of the claims.

Claims

1. A thermal imaging core temperature calibration method, characterized in that: include: Use a thermal imaging core loaded with reference calibration data to measure the temperature of a plurality of black bodies with different temperature values ​​and record the measurement results; A temperature correction function is established based on the relationship between the actual temperature value measured on the black body and the standard temperature value of the black body; The newly measured temperature value is corrected using the temperature correction function.

2. The thermal imaging core temperature calibration method according to claim 1, characterized in that: The standard temperature value of the selected black body is within the range that can be measured by the thermal imaging core.

3. The thermal imaging core temperature calibration method according to claim 1, characterized in that: There are four black bodies with different temperature values, namely a first black body, a second black body, a third black body and a fourth black body; the standard temperature value of the first black body is close to the minimum value of the range that can be measured by the thermal imaging core, the standard temperature value of the fourth black body is close to the maximum value of the range that can be measured by the thermal imaging core, the standard temperature value of the second black body and the standard temperature value of the third black body are between the standard temperature value of the first black body and the standard temperature value of the fourth black body, and the standard temperature value of the second black body is less than the standard temperature value of the third black body.

4. The thermal imaging core temperature calibration method according to claim 1, characterized in that: The temperature correction function is established according to the relationship between the actual temperature value measured on the black body and the standard temperature value of the black body, including: Analyze the difference between the actual temperature value measured by the black body and the standard temperature value of the black body; Select the corresponding fitting equation according to the analysis results; The parameters of the selected fitting equation are adjusted to obtain the final temperature correction function.

5. The thermal imaging core temperature calibration device is characterized by: include: A measurement and recording unit, used to measure the temperature of a plurality of black bodies with different temperature values ​​using a thermal imaging core loaded with reference calibration data and record the measurement results; A function establishment unit, used for establishing a temperature correction function according to the relationship between the actual measured temperature value of the black body and the standard temperature value of the black body; The correction unit is used to correct the newly measured temperature value using a temperature correction function.

6. The thermal imaging core temperature calibration device according to claim 5, characterized in that: The standard temperature value of the selected black body is within the range that can be measured by the thermal imaging core.

7. The thermal imaging core temperature calibration device according to claim 5, characterized in that: There are four black bodies with different temperature values, namely a first black body, a second black body, a third black body and a fourth black body; the standard temperature value of the first black body is close to the minimum value of the range that can be measured by the thermal imaging core, the standard temperature value of the fourth black body is close to the maximum value of the range that can be measured by the thermal imaging core, the standard temperature value of the second black body and the standard temperature value of the third black body are between the standard temperature value of the first black body and the standard temperature value of the fourth black body, and the standard temperature value of the second black body is less than the standard temperature value of the third black body.

8. The thermal imaging core temperature calibration device according to claim 5, characterized in that: The function establishment unit comprises: An analysis module, used for analyzing the difference between the actual measured temperature value measured by the black body and the standard temperature value of the black body; A selection module is used to select a corresponding fitting equation according to the analysis results; The parameter adjustment module is used to adjust the parameters of the selected fitting equation to obtain the final temperature correction function.

9. A computer device, characterized in that: The method comprises a memory, a processor and a computer program stored in the memory and executable on the processor, wherein the processor implements the thermal imaging core temperature calibration method as claimed in any one of claims 1 to 4 when executing the computer program.

10. A computer-readable storage medium, characterized in that: The storage medium stores a computer program, and the computer program includes program instructions. When the program instructions are executed by a processor, the processor executes the thermal imaging core temperature calibration method according to any one of claims 1 to 4.

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