CN114235167A - Temperature compensation method, thermal imaging device and computer readable storage medium - Google Patents
Temperature compensation method, thermal imaging device and computer readable storage medium Download PDFInfo
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Abstract
The application discloses a temperature compensation method, a thermal imaging device and a computer readable storage medium, wherein the temperature compensation method comprises the following steps: acquiring original measurement data, wherein the original measurement data comprises distances between a plurality of black bodies to be measured and thermal imaging equipment and temperature estimation values of the black bodies to be measured corresponding to the distances; processing the original measurement data to obtain a current attenuation parameter; establishing a distance compensation model based on the current attenuation parameters; correcting the original measurement data by adopting a distance compensation model to obtain corrected data; judging whether the correction data meet a preset precision condition or not; and if the corrected data do not accord with the preset precision condition, returning to the step of obtaining the original measurement data until the corrected data accord with the preset precision condition. By means of the mode, temperature compensation can be carried out on the measurement data generated by the thermal imaging device, and the measurement accuracy of the thermal imaging device is improved.
Description
Technical Field
The present application relates to the field of measurement technology; and more particularly, to a temperature compensation method, a thermal imaging apparatus, and a computer-readable storage medium.
Background
At present, thermal imaging equipment is widely applied to the fields of industrial temperature measurement or substation temperature monitoring and the like, and the thermal imaging equipment mainly utilizes an infrared detector to convert thermal radiation on the surface of a measured target into an electric signal, and then converts the electric signal into a temperature value through an algorithm and displays the temperature value; however, as the temperature measurement distance between the thermal imaging device and the measured target increases, the thermal radiation measured by the infrared detector gradually attenuates, thereby affecting the accuracy of the measured temperature value, and at this time, in order to ensure the measurement accuracy, the thermal imaging device needs to compensate the attenuation of the thermal radiation distance when working; the existing temperature compensation method has the problems that the cost is high, the measurement precision after compensation still cannot meet the measurement precision requirement, the measurement precision cannot be effectively improved, the limitation is realized, and the method is only suitable for a single thermal imaging device.
Disclosure of Invention
The application provides a temperature compensation method, a thermal imaging device and a computer readable storage medium, which can perform temperature compensation on measurement data generated by the thermal imaging device and improve the measurement precision of the thermal imaging device.
In order to solve the technical problem, the technical scheme adopted by the application is as follows: there is provided a temperature compensation method including: acquiring original measurement data, wherein the original measurement data comprises distances between a plurality of black bodies to be measured and thermal imaging equipment and temperature estimation values of the black bodies to be measured corresponding to the distances; processing the original measurement data to obtain a current attenuation parameter; establishing a distance compensation model based on the current attenuation parameters; correcting the original measurement data by adopting a distance compensation model to obtain corrected data; judging whether the correction data meet a preset precision condition or not; and if the corrected data do not accord with the preset precision condition, returning to the step of obtaining the original measurement data until the corrected data accord with the preset precision condition.
In order to solve the above technical problem, another technical solution adopted by the present application is: there is provided a thermal imaging device comprising a memory and a processor connected to each other, wherein the memory is used for storing a computer program, and the computer program, when executed by the processor, is used for implementing the temperature compensation method in the above technical solution.
In order to solve the above technical problem, the present application adopts another technical solution: there is provided a computer readable storage medium for storing a computer program for implementing the temperature compensation method of the above technical solution when the computer program is executed by a processor.
Through the scheme, the beneficial effects of the application are that: firstly, acquiring original measurement data, wherein the original measurement data comprises distances between a plurality of blackbodies to be measured and thermal imaging equipment and temperature estimation values of the blackbodies to be measured corresponding to the distances; then processing the original measurement data to obtain a current attenuation parameter, and establishing a distance compensation model according to the current attenuation parameter; correcting the original measurement data by adopting a distance compensation model to obtain corrected data; verifying the precision of the distance compensation model by performing precision verification on the corrected data, returning to the step of acquiring original measurement data when the corrected data does not meet the preset precision condition, and recalculating by using the newly acquired original measurement data to obtain a new distance compensation model until the corrected data meets the precision requirement to obtain a final distance compensation model; the scheme that this application adopted can be based on the original measured data that obtains under different environment or the thermal imaging equipment, and the distance compensation model who is applicable to current environment and current equipment is established in a flexible way, and through the precision verification to correcting data, can obtain the distance compensation model that accords with the accuracy standard, can compensate because of the temperature decay that the distance produced in the temperature measurement process moreover, promotes the precision of temperature measurement result, and then promotes the imaging accuracy who utilizes thermal imaging equipment.
Drawings
In order to more clearly illustrate the technical solutions in the embodiments of the present application, the drawings needed to be used in the description of the embodiments are briefly introduced below, and it is obvious that the drawings in the following description are only some embodiments of the present application, and it is obvious for those skilled in the art to obtain other drawings based on these drawings without creative efforts. Wherein:
FIG. 1 is a schematic flow chart diagram illustrating an embodiment of a temperature compensation method provided herein;
FIG. 2 is a schematic flow chart diagram illustrating another embodiment of a temperature compensation method provided herein;
FIG. 3 is a schematic flow chart diagram illustrating one embodiment of obtaining raw measurement data provided herein;
FIG. 4 is a schematic block diagram of one embodiment of a thermal imaging apparatus provided herein;
FIG. 5 is a schematic structural diagram of an embodiment of a computer-readable storage medium provided in the present application.
Detailed Description
The present application will be described in further detail with reference to the following drawings and examples. It is to be noted that the following examples are only illustrative of the present application, and do not limit the scope of the present application. Likewise, the following examples are only some examples and not all examples of the present application, and all other examples obtained by a person of ordinary skill in the art without any inventive work are within the scope of the present application.
Reference in the specification to "an embodiment" means that a particular feature, structure, or characteristic described in connection with the embodiment can be included in at least one embodiment of the specification. The appearances of the phrase in various places in the specification are not necessarily all referring to the same embodiment, nor are separate or alternative embodiments mutually exclusive of other embodiments. It is explicitly and implicitly understood by one skilled in the art that the embodiments described herein can be combined with other embodiments.
It should be noted that the terms "first", "second" and "third" in the present application are used for descriptive purposes only and are not to be construed as indicating or implying relative importance or implying any number of indicated technical features. Thus, a feature defined as "first," "second," or "third" may explicitly or implicitly include at least one of the feature. In the description of the present application, "plurality" means at least two, e.g., two, three, etc., unless explicitly specifically limited otherwise. Furthermore, the terms "include" and "have," as well as any variations thereof, are intended to cover non-exclusive inclusions. For example, a process, method, system, article, or apparatus that comprises a list of steps or elements is not limited to only those steps or elements listed, but may alternatively include other steps or elements not listed, or inherent to such process, method, article, or apparatus.
Referring to fig. 1, fig. 1 is a schematic flow chart of an embodiment of a temperature compensation method provided in the present application, the method including:
step 11: raw measurement data is acquired.
The raw measurement data may include distances between a plurality of black bodies (black bodies) to be measured and the thermal imaging device and temperature estimation values of the black bodies to be measured corresponding to the distances, and the thermal imaging device may be used to perform temperature tests on the black bodies to be measured at different preset temperature measurement points, respectively, so as to obtain the raw measurement data.
Furthermore, the temperature measurement distances between different preset temperature measurement points and the black body to be measured are different, the black body to be measured is an ideal object which can absorb all external electromagnetic wave radiation and does not generate reflection and transmission, and the black body to be measured is taken as a target to be measured, so that reference test data can be obtained; for example: the temperature measurement distances between the thermal imaging equipment and the black body to be measured can be set to 4 preset temperature measurement points of 1m, 2m, 3m and 4m respectively, the actual temperature values are set to 3 black bodies to be measured of 60 ℃, 80 ℃ and 100 ℃ respectively, then the thermal imaging equipment is utilized to measure the temperature of the 3 black bodies to be measured on the 4 preset temperature measurement points respectively, the temperature estimation values of the 3 black bodies to be measured under different temperature measurement distances are obtained, and the temperature estimation values are used as original measurement data. It can be understood that the number of the preset temperature measuring points, the distance between the preset temperature measuring points and the black body to be measured, the number of the black body to be measured, and the actual temperature value of the black body to be measured may be set according to actual conditions, and are not limited herein.
Step 12: and processing the original measurement data to obtain the current attenuation parameter.
The current attenuation parameter can be used for representing the attenuation degree of the black body to be measured, and the current attenuation parameter can be calculated by substituting the distances between the black body to be measured and the thermal imaging equipment contained in the original measurement data and the temperature estimation value of the black body to be measured corresponding to the distances into the corresponding attenuation model.
In a specific embodiment, the current attenuation parameter may include a temperature attenuation ratio and a distance attenuation ratio, the temperature attenuation ratio may be used to represent the attenuation of the temperature estimation value obtained by performing the temperature test on the black body to be tested, and the distance attenuation ratio may be used to represent the attenuation generated by performing the test on the black body to be tested at different temperature measurement distances.
Step 13: and establishing a distance compensation model based on the current attenuation parameters.
A distance compensation model can be established according to the calculated current attenuation parameters, so that the temperature estimation value contained in the original measurement data is compensated by using the distance compensation model, and the temperature attenuation generated by the temperature measurement distance is compensated.
In a specific embodiment, the thermal radiation attenuation generated by the thermal imaging device during measurement is not only affected by the temperature measurement distance, but also affected by the lens of the thermal imaging device, the common lens can only focus at the calibration distance of the thermal imaging device to obtain a clear image, and cannot focus the target to be measured at the non-calibration distance, which may generate an image virtual focus phenomenon, increasing the thermal radiation attenuation, the calibration distance is the distance between the thermal imaging device and the black body to be measured when the measurement accuracy is the highest, and the calibration distances of the thermal imaging devices of the same model may be the same, for example: if the calibration distance of the thermal imaging device a is 3m, it indicates that the temperature value measured by the thermal imaging device a when the distance is 3m from the target to be measured is closest to the actual temperature of the target to be measured.
Furthermore, the lens in the thermal imaging device can adopt an automatic focusing lens, and the automatic focusing lens can realize automatic focusing at different temperature measuring distances, so that the attenuation influence generated by lens virtual focus is reduced, the measurement precision of the distance attenuation is improved, and the compensation effect of a subsequently established distance compensation model is ensured.
Step 14: and correcting the original measurement data by adopting a distance compensation model to obtain corrected data.
The correction data comprises temperature correction values of all blackbodies to be measured, and after a distance compensation model is established, the distance compensation model can be adopted to correct the temperature estimation value in the original measurement data to obtain correction data; it can be understood that, the distance compensation model can be used to correct all temperature estimation values contained in the original measurement data, so as to obtain all temperature correction values of all blackbodies to be measured at different temperature measurement distances.
Step 15: and judging whether the correction data meet the preset precision condition.
In order to verify whether the established distance compensation model can achieve a certain standard compensation effect, the accuracy of the corrected data generated after the distance compensation model is adopted for correction is checked, and whether the corrected data meet a preset accuracy condition is judged; specifically, whether the preset precision condition is met can be judged by judging whether the difference value between the temperature correction value in the correction data and the corresponding actual temperature value is smaller than a preset threshold value.
Further, the correction data comprise temperature correction values of all black bodies to be detected, namely a plurality of temperature correction values, and when the difference value between all the temperature correction values and the actual temperature value is smaller than a preset threshold value, the correction data are determined to accord with a preset precision condition; in other embodiments, whether the correction data meets the preset precision condition may also be determined by determining the number of temperature correction values of which the difference between the temperature correction value and the actual temperature value is smaller than the preset threshold, that is, determining that the proportion of the temperature correction values meeting the preset precision condition is larger than the preset proportion value, which indicates that the correction data meets the preset precision condition, for example: the correction data comprises 20 temperature correction values, the preset proportion value is 0.9, and when the difference value between at least 18 temperature correction values and the corresponding actual temperature value is smaller than the preset threshold value, the correction data meets the preset precision condition.
And if the corrected data do not accord with the preset precision condition, returning to the step of obtaining the original measurement data until the corrected data accord with the preset precision condition. Specifically, if the corrected data does not meet the preset precision condition, it means that the accuracy of the established distance compensation model is not enough, the original measured data cannot be corrected accurately, then the step of acquiring the original measurement data is returned to, a new set of original measurement data is acquired again, then processing the new original measurement data to obtain new current attenuation parameters, establishing a new distance compensation model according to the new current attenuation parameters, correcting the new original measurement data by using the new distance compensation model to generate new correction data, determining the new distance compensation model as a final distance compensation model if the new correction data meets the preset precision condition, and if the new correction data still do not accord with the preset precision condition, acquiring new original measurement data again until the obtained correction data accord with the preset precision condition.
The method comprises the steps of constructing a distance compensation model according to original measurement data obtained by actual measurement, correcting the original measurement data by adopting the distance compensation model to obtain correction data, determining whether the correction data meet a preset precise condition, and re-acquiring the original measurement data to acquire a new distance compensation model when the correction data do not meet the preset precise condition until the correction data calculated by using the new distance compensation model meet the precision requirement; according to the scheme, the distance compensation model suitable for the current environment and the current equipment is established by adjusting the conditions of the measurement environment/the thermal imaging equipment/the preset temperature measuring point/the black body to be measured and the like for obtaining original measurement data, the method for establishing the distance compensation model has high flexibility and adaptability, meanwhile, the distance compensation model meeting the precision standard can be obtained by verifying the precision of the corrected data, the distance attenuation generated in the temperature measurement process is compensated, the precision of the temperature measurement result is improved, and the imaging precision of the thermal imaging equipment is further improved.
Referring to fig. 2, fig. 2 is a schematic flow chart of another embodiment of a temperature compensation method provided in the present application, the method including:
step 21: raw measurement data is acquired.
Different thermal imaging devices of the same model may have a certain degree of individual difference when measuring temperature, so in order to obtain a distance attenuation model universally adapted to all the thermal imaging devices of the same model, a plurality of groups of measurement data obtained by measuring a plurality of thermal imaging devices of the same model can be used as original measurement data to construct the distance attenuation model, and the thermal imaging devices of the same model include but are not limited to lenses, infrared detectors, device structures, core programs and the like used by the thermal imaging devices are consistent; specifically, as shown in fig. 3, the steps 211 to 213 may be utilized to acquire multiple sets of measurement data to generate raw measurement data, which specifically includes:
step 211: and measuring the temperature of the black body to be measured at a plurality of preset temperature measuring points by utilizing a plurality of thermal imaging devices with the same model to obtain a plurality of groups of measurement data.
Because the attenuation of temperature values brought by different temperature measuring distances is different, a plurality of thermal imaging devices with the same type can be used for respectively measuring the temperature of a plurality of black bodies to be measured with different temperatures at a plurality of preset temperature measuring points so as to obtain a plurality of groups of measuring data; it can be understood that a plurality of thermal imaging devices of the same model can be tested under the same preset temperature measuring point and the setting condition of the black body to be tested, so that the measurement data of the plurality of thermal imaging devices under the same condition can be obtained, and the number of the thermal imaging devices can be selected according to the actual situation.
In a specific embodiment, the distance between the thermal imaging device and the black body to be measured falls within a preset distance, that is, a plurality of preset temperature measuring points are arranged within a preset distance range, the preset distance can be a working distance range of the thermal imaging device, that is, the thermal imaging device can measure a distance range to the temperature of the target to be measured, the working distance range can at least comprise a minimum temperature measuring distance, a calibration distance and a maximum temperature measuring distance, the maximum temperature measuring distance is a maximum distance at which the thermal imaging device can measure the temperature of the target to be measured, the minimum temperature measuring distance is a minimum distance at which the thermal imaging device can measure the temperature of the target to be measured, the calibration distance is smaller than the maximum temperature measuring distance, and the calibration distance of the thermal imaging device is Ds(in m) for example, the working distance range of the thermal imaging device may be generally [1, 5D ]s]That is, the maximum temperature measurement distance of the thermal imaging apparatus is generally 5 times the calibration distance, and then the range of the working distance [1, 5D ] can be sets]A plurality of preset temperature measuring points are arranged in the temperature measuring device; specifically, a plurality of preset temperature measuring points can be arranged within the working distance range according to the preset spacing distance so as to presetFor example, the distance interval is D m, which can be respectively 1m, (1+ D) m, …, Ds m、…、5DsThe preset temperature measuring points are arranged at the positions m, so that the size of the preset distance interval can be set according to actual conditions, and the preset temperature measuring points are guaranteed to be uniformly distributed in the working distance range.
Further, the more the number of the preset temperature measurement points, the higher the measurement cost is, and in order to save the measurement cost and ensure the accuracy of the measurement data, the number of the preset temperature measurement points may be selected within a range of 5 to 8, for example: the calibration distance of the thermal imaging equipment is 1m, the working distance range is [1m, 5m ], 5 preset temperature measuring points are selected to be set, the preset spacing distance can be set to be 1m at the moment, and the 5 preset temperature measuring points are respectively set at the positions of 1m, 2m, 3m, 4m and 5 m.
In a specific embodiment, the set temperatures of the black bodies to be measured fall within a preset temperature range, where the preset temperature range is a temperature range of the target to be measured that can be measured by the thermal imaging device, the preset temperature range includes a minimum measurement temperature and a maximum measurement temperature, and the preset temperature range of the thermal imaging device can be divided into a common temperature range and a high temperature range, where the preset temperature range is [ T [ ]min，Tmax]For example, a common temperature range may be [ T ]min，Tcom]The high temperature range may be (T)com，Tmax]，TminMinimum measured temperature, T, for a predetermined temperature rangemaxIs the maximum measured temperature of the preset temperature range. In particular, it can be in the usual temperature range [ Tmin，Tcom]Selecting a plurality of black bodies to be tested at a high temperature range (T)com，Tmax]Interior selection few black bodies that await measuring can compromise temperature range and high temperature range commonly used under the circumstances of practicing thrift the measurement cost, guarantee the measurement accuracy of thermal imaging equipment in temperature range commonly used, can compromise the measurement accuracy of the high temperature range not commonly used again.
Further, the more the number of the black bodies to be measured, the higher the measurement cost is, the number of the black bodies to be measured is limited by the size of the lens of the thermal imaging device, the thermal imaging device can only measure the temperature of the limited number of the black bodies to be measured at one time, and therefore the number of the black bodies to be measured can be controlled to be 5-6 in order to save the measurement cost and ensure the accuracy of measurement data. For example: the common temperature range of the thermal imaging device is [40 ℃, 150 ℃), the high temperature range can be [ 150 ℃, 550 ℃), and the temperatures of 6 black bodies to be measured can be respectively selected to be 40 ℃, 60 ℃, 100 ℃, 150 ℃, 300 ℃ and 550 ℃ if 6 black bodies to be measured with different temperatures are to be set.
In this embodiment, the following thermal imaging devices, preset temperature measuring points, and measurement results obtained by performing actual tests with the settings of the black body to be measured are taken as examples, 3 thermal imaging devices a to C with the same model and the same calibration distance of 1m are set, the working distance range is [1m, 5m ], the working temperature range is [40 ℃ and 450 ℃), the common temperature range is [40 ℃ and 150 ℃, the high temperature range is (150 ℃ and 550 ℃), 5 preset temperature measuring points with the temperature measuring distances of 1m, 2m, 3m, 4m, and 5m are set, and setting 6 black bodies to be measured with actual temperature values of 40 ℃, 60 ℃, 100 ℃, 150 ℃, 300 ℃ and 550 ℃, respectively, and measuring the temperature of the 6 black bodies to be measured at 5 preset temperature points by utilizing thermal imaging equipment A-C through actual test to obtain 3 groups of measurement data shown in the following tables 1-3.
TABLE 1 measurement data of thermal imaging device A
TABLE 2 measurement data of thermal imaging device B
TABLE 3 measurement data of thermal imaging device C
Step 212: and judging whether the multiple groups of measurement data accord with consistency check conditions or not.
Generally, the deviation between the measured data measured by the thermal imaging devices of the same model is very small, the measured data are approximately the same, that is, the measured data are consistent, but the situation that the measured data are inconsistent with the measured data measured by the thermal imaging devices of the other same model due to the fact that an overlarge error exists in the measured result caused by the damage of a certain internal part of a certain thermal imaging device and the like is not eliminated, so that the problem that a plurality of thermal imaging devices of the same model are selected for testing is avoided in order to ensure the accuracy of a plurality of groups of measured data, and after the plurality of groups of measured data are obtained by testing the thermal imaging devices of the same model, whether the plurality of groups of measured data meet the consistency check condition is judged.
In a specific embodiment, the step of determining whether the plurality of sets of measurement data satisfy the consistency check condition may include: obtaining temperature estimated values obtained by measuring the same black body to be measured at the same preset temperature measuring point by a plurality of thermal imaging devices of the same type, subtracting the maximum value of the temperature estimated values from the minimum value of the temperature estimated values to obtain a temperature difference value, and judging whether the ratio of the temperature difference value to the actual temperature value of the black body to be measured is smaller than a preset threshold value or not; if the ratio of the temperature difference value to the actual temperature value of the black body to be detected is smaller than a preset threshold value, determining that a consistency check condition is met; the preset threshold is related to the accuracy of the thermal imaging device, and the specific value may be set according to an actual situation, for example, if the accuracy of the thermal imaging device is 2%, the preset threshold may be set to 0.01.
Specifically, please continue to refer to 3 sets of measurement data shown in tables 1 to 3, and obtain a temperature difference table shown in table 4 below by obtaining temperature estimation values obtained by measuring the same black body to be measured at the same preset temperature point by the 3 sets of measurement data, and then correspondingly subtracting the maximum value of the temperature estimation values from the minimum value of the temperature estimation values:
table 4 temperature difference table corresponding to the thermal imaging device A, B, C
The preset threshold may be set to 0.01, and then the ratio of all the temperature differences in the temperature difference table to the corresponding actual temperature values of the black body to be measured is calculated, and the values are compared with the preset threshold 0.01 one by one, for example: obtaining temperature estimated values obtained by measuring a black body to be measured with the actual temperature of 40 ℃ by preset temperature points of thermal imaging equipment A-C at the temperature measuring distance of 1m, wherein the temperature estimated values are 39.7 ℃, 39.8 ℃ and 39.9 ℃, the maximum value of the temperature estimated values is 39.9 ℃, the minimum value of the temperature estimated values is 39.7 ℃, subtracting the maximum value of the temperature estimated values from the minimum value of the temperature estimated values to obtain a temperature difference value of 0.2 ℃, then calculating the ratio of the temperature difference value of 0.2 ℃ to the actual temperature of 40 ℃ to be 0.005, and knowing that the calculated ratio of 0.005 is less than a preset threshold value of 0.01, so that the temperature estimated values obtained by measuring the black body to be measured with the actual temperature of 40 ℃ by the preset temperature points of the thermal imaging equipment A-C at the temperature measuring distance of 1m are consistent with consistency check conditions; similarly, consistency check can be performed on the remaining corresponding temperature estimated values in the thermal imaging devices a to C by the above calculation method, and if the ratio of all the temperature difference values to the corresponding actual temperature values of the black body to be measured is smaller than the preset threshold value of 0.01, it indicates that all the 3 sets of measurement data meet the consistency check condition, and the 3 sets of measurement data measured by the thermal imaging devices a to C have consistency, and it can be known through calculation that the ratio of all the temperature difference values in the following table 4 to the corresponding actual temperature values of the black body to be measured is smaller than the preset threshold value of 0.01, that is, the 3 sets of measurement data measured by the thermal imaging devices a to C have consistency.
In another specific embodiment, the difference upper limit table corresponding to the thermal imaging apparatus A, B, C shown in table 5 below may be obtained by multiplying the respective actual temperature values by a preset threshold value of 0.01, and then whether the temperature difference in table 4 is smaller than the corresponding difference upper limit in table 5 is compared to determine whether the temperature difference meets the consistency check condition:
table 5 upper limit table of difference values corresponding to the thermal imaging apparatus A, B, C
And if the multiple groups of measurement data do not accord with the consistency check condition, returning to the step of obtaining the original measurement data. Specifically, when multiple sets of measurement data do not meet the consistency check condition, that is, a certain thermal imaging device has a problem, a thermal imaging device with a temperature estimation value having a large difference from other sets of measurement data can be found based on the multiple sets of measurement data, the problem thermal imaging device is replaced with a new thermal imaging device, then the step of obtaining original measurement data is returned, that is, the new thermal imaging device is used for carrying out measurement again to obtain new measurement data, and then the consistency check is carried out on the new multiple sets of measurement data until the new multiple sets of measurement data meet the consistency check condition.
Step 213: and if the multiple groups of measurement data accord with the consistency check condition, calculating the average value of the multiple groups of measurement data to generate original measurement data.
As can be seen from the above analysis, the 3 sets of measurement data shown in tables 1 to 3 conform to the consistency check condition, and at this time, the average value of the 3 sets of measurement data may be calculated, and the average values of the corresponding temperature estimation values in the 3 sets of measurement data are respectively calculated, so as to obtain the original measurement data shown in table 6 below:
TABLE 6 raw measurement data
After the original measurement data are obtained, the original measurement data are processed to obtain a current attenuation parameter, so that a distance compensation model is established based on the current attenuation parameter, the input of the distance compensation model can be the current attenuation parameter, the output of the distance compensation model is a distance compensation coefficient, the current attenuation parameter comprises a distance attenuation proportion and a temperature attenuation proportion, and the distance compensation coefficient can be obtained by calculating the distance attenuation proportion and the temperature attenuation proportion to complete the establishment of the distance compensation model, specifically, as shown in the following steps 22 to 25.
Step 22: reference data is obtained from the raw measurement data.
The reference data is the temperature estimation value in the raw measurement data, the reference data comprises a first reference data and a second reference data, the first reference data is a temperature estimation value obtained by measuring a black body to be measured with an actual temperature value being a minimum measurement temperature by thermal imaging equipment at a calibration distance, the second reference data is a temperature estimation value obtained by measuring the black body to be measured with the actual temperature value being a maximum measurement temperature by the thermal imaging equipment at the calibration distance, the third reference data is a temperature estimation value obtained by measuring the black body to be measured with the actual temperature value being the minimum measurement temperature by the thermal imaging equipment at a maximum temperature measurement distance, and the fourth reference data is a temperature estimation value obtained by measuring the black body to be measured with the actual temperature value being the maximum measurement temperature by the thermal imaging equipment at the maximum temperature measurement distance.
Taking the original measurement data shown in table 6 obtained by the thermal imaging devices a to C in the above embodiment as an example, the preset distance between the thermal imaging device and the black body to be measured is 1m to 5m, the calibration distance of the thermal imaging device is 1m, the maximum temperature measurement distance is 5m, the minimum measurement temperature is 40 ℃, the maximum measurement temperature is 550 ℃, correspondingly, the first reference data in the original measurement data is 39.8 ℃ of temperature estimation value obtained by measuring the black body to be measured at 40 ℃ at the temperature measurement distance of 1m, the second reference data is 550.3 ℃ of temperature estimation value obtained by measuring the black body to be measured at 550 ℃ at the temperature measurement distance of 1m, the third reference data is 38.8 ℃ of temperature estimation value obtained by measuring the black body to be measured at 40 ℃ at the temperature measurement distance of 5m, and the fourth reference data is 527.9 ℃ of temperature estimation value obtained by measuring the black body to be measured at 550 ℃ at the temperature measurement distance of 5 m.
Step 23: and calculating the reference data to obtain the temperature attenuation proportion.
After the first reference data, the second reference data, the third reference data and the fourth reference data are obtained, the second reference data and the first reference data are subtracted to obtain a first difference value; subtracting the third reference data from the fourth reference data to obtain a second difference value; and then dividing the second difference value by the first difference value to obtain the temperature attenuation ratio, namely calculating by adopting the following calculation formula to obtain the temperature attenuation ratio:
kT＝(S4-S3)/(S2-S1) (1)
wherein kT represents a temperature decay ratio, S1Denotes first reference data, S2Representing second reference data, S3Denotes third reference data, S4Fourth reference data is indicated.
For example, the temperature decay ratio is calculated to be 0.9580 by subtracting the first reference data 39.8 ℃ from the second reference data 550.3 ℃ to obtain a first difference value of 510.5 ℃, then subtracting the third reference data 38.8 ℃ from the fourth reference data 527.9 ℃ to obtain a second difference value of 489.1 ℃, and then dividing the second difference value 489.1 ℃ by the first difference value of 510.5 ℃.
Step 24: and calculating the distance attenuation proportion based on the preset temperature measurement distance, the calibration distance of the thermal imaging equipment and the maximum temperature measurement distance of the thermal imaging equipment.
The preset temperature measurement distance is the distance between the preset temperature measurement point and the black body to be measured of the thermal imaging equipment, and the preset temperature measurement distance and the calibration distance can be subtracted to obtain a third difference value; then subtracting the calibration distance from the maximum temperature measurement distance to obtain a fourth difference value; and then dividing the third difference value by the fourth difference value to obtain the distance attenuation ratio, namely calculating to obtain the distance attenuation ratio by adopting the following calculation formula:
kD＝(dis-Ds)/(Dmax-Ds) (2)
wherein the distance is expressed in kDFrom attenuation ratio, dis represents the preset temperature measurement distance, DsIndicating the nominal distance, DmaxThe maximum thermometric distance is indicated.
For example, the distance attenuation ratio kD of (dis-1)/4 can be obtained by substituting the calibration distance 1m and the maximum temperature measurement distance 5m into the above expression.
Step 25: and calculating the temperature attenuation proportion and the distance attenuation proportion to obtain a distance compensation coefficient.
Performing power operation on the temperature attenuation ratio by taking the distance attenuation ratio as an exponent to obtain a power operation result, and then solving the reciprocal of the power operation result to obtain a distance compensation coefficient; specifically, the distance compensation coefficient may be calculated by substituting the temperature attenuation ratio and the distance attenuation ratio into the following formula:
dCoff＝1/kTkD (3)
wherein dCoff is a distance compensation factor.
The distance compensation coefficient dCoff can be obtained by combining the temperature decay rate 0.9580 calculated by the above equations (1) and (2) and the distance decay rate kD of (dis-1)/4 and substituting the two into the above equation (3) to obtain the distance compensation coefficient dCoff of 1/0.9580(dis -1)/4。
Step 26: and multiplying the distance compensation coefficient by the temperature estimation value in the original measurement data to obtain correction data.
After the distance compensation coefficient is obtained through calculation, compensation processing can be carried out on the original measurement data through the distance compensation coefficient, the distance compensation coefficient is multiplied by the temperature estimation value in the original measurement data, and the temperature estimation value is compensated to obtain correction data; specifically, the distance compensation coefficient and the temperature estimation value in the original measurement data can be substituted into the following formula to obtain correction data including the temperature correction values of all black bodies to be measured:
Tcorrect＝dCoff*Traw (4)
wherein, TcorrectIndicating the temperature correction value, TrawIs an estimate of the temperature.
Understandably, can be openCorrecting temperature estimated values in multiple groups of measurement data generated by measuring multiple thermal imaging devices of the same type by using the over-distance compensation coefficient; namely: the distance compensation coefficient dCoff obtained by the above calculation is 1/0.9580(dis-1)/4The temperature estimated values in tables 1 to 3 were multiplied to obtain correction data shown in tables 7 to 9 below:
TABLE 7 thermal imaging apparatus A corresponding corrective data
TABLE 8 corrective data for thermal imaging device B
TABLE 9 corrective data for thermal imaging device C
Step 27: and judging whether the correction data meet the preset precision condition.
Verifying whether the distance attenuation model meets the precision standard or not by judging whether the correction data meets the preset precision condition or not, calculating the difference value between the temperature correction value of the black body to be detected and the corresponding actual temperature value to obtain a fifth difference value, and then judging whether the correction data meets the preset precision condition or not based on the fifth difference value.
In a specific embodiment, the black bodies to be detected in different temperature ranges may adopt different precision verification methods, when the actual temperature value of the black body to be detected is smaller than the preset temperature value, it is determined whether the absolute value of the fifth difference value is smaller than the first precision reference value, and if the absolute value of the fifth difference value is smaller than the first precision reference value, it is determined that the preset precision condition is satisfied.
Specifically, the preset temperature value may be set to 100 ℃, and the first accuracy reference value may be set according to the measurement accuracy of the thermal imaging apparatus, for example: if the measurement accuracy of the thermal imaging device is 2%, the first accuracy reference value may be set to be 2 at this time, that is, if the difference between the temperature correction value and the corresponding actual temperature value is less than 2 under the condition that the actual temperature value of the black body to be measured is less than 100 ℃, it is determined that the temperature correction value meets the preset accuracy condition, and when all the temperature correction values in the correction data meet the preset accuracy condition, it is determined that the correction data meets the preset accuracy condition. It is understood that the preset temperature value can also be 110 ℃ or 90 ℃, and can be set according to actual situations.
And when the actual temperature value of the black body to be detected is greater than or equal to the preset temperature value, judging whether the ratio of the absolute value of the fifth difference value to the actual temperature value is smaller than the second precision reference value, and if the ratio of the absolute value of the fifth difference value to the actual temperature value is smaller than the second precision reference value, determining that the preset precision condition is met.
Further, the second accuracy reference value may also be set according to the measurement accuracy of the thermal imaging device, and the second accuracy reference value is smaller than the first accuracy reference value, which may be one hundredth of the first accuracy reference value, for example: the measurement precision of the thermal imaging equipment is 2%, the first precision reference value is set to be 2, the first precision reference value can be set to be 0.02 at the moment, when the actual temperature value of the black body to be measured is greater than or equal to 100 ℃, if the ratio of the absolute value of the fifth difference value to the actual temperature value is less than 0.02, the temperature correction value meets the preset precision condition, and when all the temperature correction values in the correction data meet the preset precision condition, the correction data is determined to meet the preset precision condition.
The accuracy verification method can be used to verify the correction data of the thermal imaging apparatuses a to C shown in tables 7 to 9 above, calculate the difference between the temperature correction value corresponding to the black body to be measured with the actual temperature value of 40 ℃ and 60 ℃ and the respective actual temperature value, and then compare the difference with the first accuracy reference value 2, for example: the temperature of the black body to be measured at 40 ℃ is measured by utilizing a preset temperature measuring point of a thermal imaging device C at a preset temperature measuring distance of 1m, then the temperature correction value obtained after correction is 39.9 ℃, and then the temperature correction value is calculated and subtracted from the corresponding actual temperature value at 40 ℃ to obtain a 5 th difference value of-0.1 ℃, and if the absolute value 0.1 of the 5 th difference value is smaller than the preset measuring precision 2, the temperature correction value meets the preset precision condition.
Calculating the difference value between the temperature correction value corresponding to the black body to be measured with the actual temperature values of 100 ℃, 150 ℃, 300 ℃ and 550 ℃ and the respective actual temperature values, then calculating the ratio of the difference value to the actual temperature values, and comparing the ratio with the second precision reference value of 0.02, for example: the method comprises the steps of measuring the temperature of a black body to be measured at 300 ℃ by utilizing a preset temperature measuring point at a preset temperature measuring distance of 1m of a thermal imaging device C, correcting to obtain a temperature correction value of 300.2 ℃, calculating the temperature correction value and subtracting from a corresponding actual temperature value at 300 ℃ to obtain a fifth difference value of 0.2 ℃, calculating the ratio of the absolute value of the fifth difference value to the actual temperature value to be 0.0006, wherein the ratio of 0.0006 to 0.02 of a second precision reference value indicates that the temperature correction value meets a preset precision condition.
And if the corrected data do not accord with the preset precision condition, returning to the step of obtaining the original measurement data until the corrected data accord with the preset precision condition. Specifically, if the correction data does not meet the preset precision condition, it means that the distance compensation coefficient obtained by the calculation does not meet the precision requirement, the temperature estimation value in the measurement data cannot be compensated to the correction data with the precision meeting the standard, then the process returns to the step of acquiring raw measurement data, re-acquiring a new set of raw measurement data, then, new distance compensation coefficients are obtained by using new original measurement data, temperature estimation values in the measurement data are compensated by using the new distance compensation coefficients to obtain new correction data, if the new correction data meet preset precision conditions, the distance compensation model obtained this time (i.e. the new distance compensation coefficient) is determined as the final distance compensation model, and if the new correction data still do not accord with the preset precision condition, returning to the step of obtaining the original measurement data until the correction data accord with the preset precision condition.
Further, the distance compensation factor failing to meet the accuracy requirement may be caused by experimental error generated when measuring data, and the step of returning to acquiring the raw measurement data may include, but is not limited to: keeping the originally selected/set preset temperature measuring point unchanged with the black body to be measured, and re-measuring by using the same thermal imaging equipment under the same test condition to reduce the measurement error and ensure the precision of the distance compensation model; it can be understood that when the re-measured measurement data still has an error, the preset temperature measuring point/blackbody to be measured/thermal imaging device can be replaced according to actual conditions, and then the measurement operation is executed.
According to the embodiment, by formulating the proper number of preset temperature measuring points and the black body to be measured, the measurement cost is saved under the condition that the measurement precision is not reduced, and meanwhile, the temperature of the black body to be measured is set within the working temperature range, so that a subsequently established distance compensation model can be suitable for all temperature measurement requirements of thermal imaging equipment; moreover, a distance compensation model is constructed by utilizing multiple groups of measurement data obtained by measuring a plurality of thermal imaging devices with the same model, so that the distance compensation model suitable for all the thermal imaging devices with the model can be obtained, and the universality of the distance compensation model is improved; in addition, consistency of the measured data can be ensured by checking consistency of multiple groups of measured data, and the influence of error problems of individual thermal imaging equipment on accuracy of the measured data is avoided; in addition, the precision of the distance compensation coefficient obtained through calculation is verified, so that the precision of the distance compensation model can be further improved, the distance attenuation is accurately compensated, and the measurement precision of the thermal imaging equipment is improved.
Referring to fig. 4, fig. 4 is a schematic structural diagram of an embodiment of a thermal imaging apparatus provided in the present application, the thermal imaging apparatus 40 includes a memory 41 and a processor 42 connected to each other, the memory 41 is used for storing a computer program, and the computer program is used for implementing the temperature compensation method in the foregoing embodiment when being executed by the processor 42.
Referring to fig. 5, fig. 5 is a schematic structural diagram of an embodiment of a computer-readable storage medium 50 provided in the present application, where the computer-readable storage medium 50 is used for storing a computer program 51, and the computer program 51 is used for implementing the temperature compensation method in the foregoing embodiment when being executed by a processor.
The computer readable storage medium 50 may be a server, a usb disk, a removable hard disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), a magnetic disk or an optical disk, and various media capable of storing program codes.
In the several embodiments provided in the present application, it should be understood that the disclosed method and apparatus may be implemented in other manners. For example, the above-described apparatus embodiments are merely illustrative, and for example, a division of modules or units is merely a logical division, and an actual implementation may have another division, for example, a plurality of units or components may be combined or integrated into another system, or some features may be omitted, or not executed.
Units described as separate parts may or may not be physically separate, and parts displayed as units may or may not be physical units, may be located in one place, or may be distributed on a plurality of network units. Some or all of the units can be selected according to actual needs to achieve the purpose of the embodiment.
In addition, functional units in the embodiments of the present application may be integrated into one processing unit, or each unit may exist alone physically, or two or more units may be integrated into one unit. The integrated unit can be realized in a form of hardware, and can also be realized in a form of a software functional unit.
The above description is only an example of the present application and is not intended to limit the scope of the present application, and all modifications of equivalent structures and equivalent processes, which are made by the contents of the specification and the drawings, or which are directly or indirectly applied to other related technical fields, are intended to be included within the scope of the present application.
Claims (13)
1. A method of temperature compensation, comprising:
acquiring original measurement data, wherein the original measurement data comprises distances between a plurality of blackbodies to be measured and thermal imaging equipment and temperature estimation values of the blackbodies to be measured corresponding to the distances;
processing the original measurement data to obtain a current attenuation parameter;
establishing a distance compensation model based on the current attenuation parameters;
correcting the original measurement data by adopting the distance compensation model to obtain corrected data;
judging whether the correction data meet a preset precision condition or not;
if not, returning to the step of obtaining the original measurement data until the correction data meets the preset precision condition.
2. The method of claim 1, wherein the input of the distance compensation model is the current attenuation parameter, the output of the distance compensation model is a distance compensation coefficient, the current attenuation parameter comprises a distance attenuation ratio and a temperature attenuation ratio, the method further comprises:
acquiring reference data from the original measurement data, wherein the reference data is a temperature estimation value in the original measurement data;
calculating the reference data to obtain the temperature attenuation proportion;
calculating the distance attenuation proportion based on a preset temperature measurement distance, the calibration distance of the thermal imaging equipment and the maximum temperature measurement distance of the thermal imaging equipment; wherein the calibration distance is smaller than the maximum temperature measurement distance;
and calculating the temperature attenuation proportion and the distance attenuation proportion to obtain the distance compensation coefficient.
3. The temperature compensation method according to claim 2, wherein a distance between the thermal imaging device and the black body to be measured falls within a preset distance, the preset distance includes a calibration distance and a maximum temperature measurement distance, the temperature of the black body to be measured falls within a preset temperature range, the preset temperature range includes a minimum measurement temperature and a maximum measurement temperature, the reference data includes first reference data, second reference data, third reference data and fourth reference data, the first reference data is a temperature estimation value obtained by measuring the black body to be measured having an actual temperature value of the minimum measurement temperature by the thermal imaging device at the calibration distance, the second reference data is a temperature estimation value obtained by measuring the black body to be measured having an actual temperature value of the maximum measurement temperature by the thermal imaging device at the calibration distance, the third reference data is a temperature estimation value obtained by measuring the black body to be measured with the actual temperature value being the minimum measurement temperature by using the thermal imaging equipment at the maximum temperature measurement distance, and the fourth reference data is a temperature estimation value obtained by measuring the black body to be measured with the actual temperature value being the maximum measurement temperature by using the thermal imaging equipment at the maximum temperature measurement distance; the step of calculating the reference data to obtain the temperature attenuation ratio includes:
subtracting the first reference data from the second reference data to obtain a first difference value;
subtracting the third reference data from the fourth reference data to obtain a second difference value;
and dividing the second difference value by the first difference value to obtain the temperature attenuation ratio.
4. The method of claim 2, wherein the step of calculating the temperature attenuation ratio and the distance attenuation ratio to obtain the distance compensation coefficient comprises:
performing power operation on the temperature attenuation proportion by taking the distance attenuation proportion as an exponent to obtain a power operation result;
and calculating the reciprocal of the power operation result to obtain the distance compensation coefficient.
5. The temperature compensation method of claim 2, wherein the step of calculating the distance attenuation ratio based on a preset temperature measurement distance, a calibration distance of the thermal imaging device, and a maximum temperature measurement distance of the thermal imaging device comprises:
subtracting the preset temperature measuring distance from the calibration distance to obtain a third difference value;
subtracting the calibration distance from the maximum temperature measurement distance to obtain a fourth difference value;
and dividing the third difference value and the fourth difference value to obtain the distance attenuation ratio.
6. The method of claim 2, wherein the step of using the distance compensation model to correct the raw measurement data to obtain corrected data comprises:
and multiplying the distance compensation coefficient by the temperature estimation value in the original measurement data to obtain the correction data.
7. The temperature compensation method according to claim 1, wherein the correction data includes temperature correction values of all the black bodies to be measured, and the step of determining whether the correction data meets a preset accuracy condition includes:
calculating a difference value between the temperature correction value of the black body to be detected and the corresponding actual temperature value to obtain a fifth difference value;
judging whether the preset precision condition is met or not based on the fifth difference value;
and if so, determining that the preset precision condition is met.
8. The method of temperature compensation according to claim 7, further comprising:
when the actual temperature value of the black body to be detected is smaller than a preset temperature value, judging whether the absolute value of the fifth difference value is smaller than a first precision reference value or not;
when the actual temperature value of the black body to be detected is greater than or equal to the preset temperature value, judging whether the ratio of the absolute value of the fifth difference value to the actual temperature value is smaller than a second precision reference value, wherein the second precision reference value is smaller than the first precision reference value;
and if the actual temperature value of the black body to be detected is smaller than the preset temperature value and the absolute value of the fifth difference value is smaller than the first precision reference value, or the actual temperature value of the black body to be detected is larger than or equal to the preset temperature value and the ratio of the absolute value of the fifth difference value to the actual temperature value is smaller than the second precision reference value, determining that the preset precision condition is met.
9. The method of temperature compensation according to claim 1, further comprising:
measuring the temperature of the black body to be measured at a plurality of preset temperature points by utilizing a plurality of thermal imaging devices with the same model respectively to obtain a plurality of groups of measurement data;
judging whether the multiple groups of measurement data accord with consistency check conditions or not;
if not, returning to the step of obtaining the original measurement data.
10. The method of claim 9, wherein the step of determining whether the plurality of sets of measurement data satisfy the consistency check condition comprises:
obtaining temperature estimated values obtained by measuring the same black body to be measured at the same preset temperature measuring point by the plurality of thermal imaging devices with the same model;
subtracting the maximum value of the temperature estimation value from the minimum value of the temperature estimation value to obtain a temperature difference value;
judging whether the ratio of the temperature difference value to the actual temperature value of the black body to be detected is smaller than a preset threshold value or not;
and if so, determining that the consistency check condition is met.
11. The method of temperature compensation according to claim 9, further comprising:
and when the multiple groups of measurement data accord with the consistency check condition, calculating the average value of the multiple groups of measurement data to generate the original measurement data.
12. A thermal imaging apparatus comprising a memory and a processor connected to each other, wherein the memory is configured to store a computer program which, when executed by the processor, is configured to implement the temperature compensation method of any one of claims 1-11.
13. A computer-readable storage medium for storing a computer program, wherein the computer program, when executed by a processor, is adapted to carry out the temperature compensation method of any one of claims 1-11.
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