CN114397326B - Stability evaluation system of infrared coating - Google Patents
Stability evaluation system of infrared coating Download PDFInfo
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Abstract
The application relates to a stability evaluation system of an infrared coating, belongs to the technical field of coating damage judgment, and solves the problems that in the prior art, the accuracy and the efficiency of coating damage judgment are poor, and accurate stability evaluation is difficult to carry out. Comprising the following steps: the data acquisition device is used for acquiring a full-band radiation brightness map of the infrared coating, two radiation brightness maps of different bands and a blackbody radiation brightness map; the temperature distribution map acquisition module is used for acquiring a temperature distribution map according to the radiation brightness maps of the two different wave bands; the emissivity distribution diagram acquisition module is used for correcting the blackbody radiation brightness diagram according to the temperature distribution diagram to obtain a corrected blackbody radiation brightness diagram; obtaining an emissivity distribution diagram according to the full-band radiance map and the corrected blackbody radiance map; the damage judging module is used for judging damage of the infrared coating; the coating stability evaluation module is used for obtaining the stability state of the infrared coating according to the obtained damage type and the corresponding damage area of the infrared coating.
Description
Technical Field
The application relates to the technical field of coating damage judgment, in particular to a stability evaluation system of an infrared coating.
Background
The infrared coating refers to a functional coating which is applied to a specific field to realize design requirements, and can be mainly divided into a low-emissivity coating, a high-emissivity coating, a controllable emissivity coating and the like, wherein the functional coating generally has a thinner thickness and has larger radiation performance difference with a substrate material. In the use process of the coating, the coating is often damaged due to the intervention of operators or environmental change, and the performance of the coating is greatly reduced after the coating is damaged, so that the damage state of the coating needs to be identified and analyzed to ensure that the performance of the coating in the use process meets the requirements.
The damage types of the coating can be divided into shedding, bubbles, cracks and the like, the traditional damage judgment of the coating is mainly divided into two types, one type is physical inspection, the judgment of the damage is mostly dependent on the experience of maintenance personnel through visual inspection, knocking touch and the like of the maintenance personnel, the efficiency is low, misjudgment and missed judgment are easy to cause, and the coating is easy to cause secondary damage for contact maintenance; the other type is visible light image algorithm analysis, after the suspicious damaged part is photographed, a specific algorithm is adopted to analyze an image, so that the defects of coating falling, cracking and the like which are large-area vacancies on the image can be judged, but the defects of coating tiny bubbles, poor adhesion and the like are perfect in the image, namely, the damage of the coating which is difficult to be distinguished in the image is difficult to judge, and the method is more difficult to accurately evaluate the stability according to the judged damage. Moreover, the damage discrimination of the image algorithm has the technical defect of depending on a training model, and a prefabricated damage unit is required to be provided when the deep learning of the judging model is performed, but the restoration of the damage real state of the infrared coating to be detected is extremely difficult, and the use cost is greatly increased.
Therefore, the conventional coating damage judgment accuracy is poor, the efficiency is low, and the accurate stability evaluation is difficult.
Disclosure of Invention
In view of the above analysis, the embodiment of the application aims to provide a stability evaluation system for an infrared coating, which is used for solving the problems that the existing coating damage judgment accuracy is poor, the efficiency is low and the accurate stability evaluation is difficult to perform.
The embodiment of the application provides a stability evaluation system of an infrared coating, which comprises the following components:
the data acquisition device is used for acquiring a full-band radiation brightness map, two radiation brightness maps of different bands and a blackbody radiation brightness map of the infrared coating to be detected;
the temperature distribution map acquisition module is used for acquiring a temperature distribution map of the infrared coating to be detected according to the two radiation brightness maps with different wave bands;
the emissivity distribution diagram acquisition module is used for correcting the blackbody radiation brightness diagram according to the temperature distribution diagram to obtain a corrected blackbody radiation brightness diagram; obtaining an emissivity distribution diagram of the infrared coating to be detected according to the full-band radiance map and the corrected blackbody radiance map;
the damage judging module is used for judging the damage types of the infrared coating to be detected based on the temperature distribution diagram and the emissivity distribution diagram and obtaining damage areas corresponding to the damage types;
the coating stability evaluation module is used for obtaining the stability state of the infrared coating according to the obtained damage type of the infrared coating and the damage area corresponding to each damage type;
and the result output module is used for outputting the damage type and the stability state of the infrared coating to be detected.
Further, the data acquisition device comprises a heating table, an infrared thermal imager lens, an integrated carrier wheel and an infrared thermal imager which are sequentially arranged, and the center points of the heating table, the infrared thermal imager lens and the infrared thermal imager are on the same straight line;
the heating table is used for placing and heating the infrared coating to be measured;
the thermal infrared imager lens is used for converging the generated radiation of the infrared coating to be detected;
the integrated carrier wheel is used for receiving radiation generated by the infrared coating to be detected, filtering full-wave-band radiation and two different-wave-band radiation respectively, and emitting blackbody radiation;
the infrared thermal imager is used for receiving the radiation and the blackbody radiation after the infrared coating to be detected is filtered, and imaging the filtered radiation and the blackbody radiation to form a full-band radiation brightness map, two radiation brightness maps with different wave bands and a blackbody radiation brightness map.
Further, an empty window unit, a first band filter unit, a second band filter unit and a surface source blackbody unit are sequentially arranged on the integral carrier wheel around the center; wherein, a thermocouple is arranged in the surface source blackbody unit;
the data acquisition device further comprises a high-precision stepping motor, wherein the high-precision stepping motor is connected with the rotation center of the integrated carrier wheel and used for controlling the integrated carrier wheel to rotate so as to realize switching of all units on the integrated carrier wheel.
Further, the centers of the units arranged on the integral carrier wheel are set at intervals relative to the center point of the integral carrier wheel, wherein the angles are matched with the step angle of the high-precision stepping motor, the condition that the high-precision stepping motor controls the switching of the units on the integral carrier wheel in the shortest time is met, and the centers of the switched units are aligned with the lens center of the thermal infrared imager.
Further, the hollow window unit, the first optical filter unit, the second optical filter unit and the surface source black body on the integrated carrier wheel are all of circular structures, and the radius is 55cm; the number of thermocouples is 1, and the thermocouples are arranged in the center of the surface source blackbody unit.
Further, the first band filter unit and the second band filter unit are determined by the following method:
determining a long wave band or a short wave band according to the infrared coating to be detected; and selecting two wave band wavelengths with the difference value smaller than a set difference threshold value from the determined long wave band or short wave band as the center wavelengths of the first wave band filter unit and the second wave band filter unit respectively.
Further, the infrared coating detection device also comprises a texture feature block determination module which is used for determining texture feature blocks of the infrared coating to be detected; the texture feature block comprises a block structure and/or a slit shape;
the damage determination module determines the damage to the infrared coating to be tested by performing the following operations:
taking the corresponding region of each texture feature block of the infrared coating to be detected in the temperature distribution map and the emissivity distribution map as a reference region, and expanding each reference region to obtain a corresponding surrounding region;
and determining the damage type of each reference area according to the temperature relation between each reference area and the corresponding surrounding area in the temperature distribution diagram and the emissivity relation between each reference area and the corresponding surrounding area in the emissivity distribution diagram.
Further, the damage determination module determines the damage type for each reference region by performing the following operations:
if the lowest temperature of the reference area in the temperature distribution diagram is higher than the highest temperature of the corresponding surrounding area, and the lowest emissivity of the reference area in the emissivity distribution diagram is higher than the highest emissivity of the corresponding surrounding area, judging that the infrared coating to be detected is damaged; at this time, if the texture feature block is of a block structure, the texture feature block is a falling type damage; if the texture feature block is in a crack shape, the texture feature block is a crack type damage;
if the highest temperature of the reference region in the temperature distribution diagram is lower than the lowest temperature of the corresponding surrounding region, and the highest emissivity of the reference region in the emissivity distribution diagram is lower than the lowest emissivity of the corresponding surrounding region, and the texture feature block is in a block structure, the texture feature block is a bubble damage.
Further, the damage determination module obtains the damage area corresponding to each damage type by executing the following operations:
and obtaining the damage area of each damage based on the pixels contained in the reference area corresponding to the infrared coating by the determined coating damage, and obtaining the damage area corresponding to each damage type in the infrared coating based on the damage type.
Further, the coating stability assessment module obtains the stability status of the infrared coating by:
and obtaining the damage degree D of the coating according to the damage type of the infrared coating and the corresponding region of the infrared coating, wherein the damage degree D is expressed as:
wherein Q represents the area of the infrared coating, alpha m Scale factor, q, representing the mth injury type m Representing the damage area of the mth damage type in the infrared coating area, and M represents the number of the damage types;
according to the obtained damage degree of the coating and the preset stability threshold value,
if the damage degree of the coating is greater than the stability threshold, the infrared coating is unstable, and the greater the damage degree of the coating is, the poorer the stability of the infrared coating is;
if the damage degree of the coating is smaller than the stability threshold, the infrared coating is stable, and the smaller the damage degree of the coating is, the better the stability of the infrared coating is;
if the degree of damage to the coating is equal to the stability threshold, the infrared coating is critically stable.
Compared with the prior art, the application has the following beneficial effects:
according to the stability evaluation system for the infrared coating, provided by the application, the damage of the infrared coating to be detected is judged by acquiring the temperature distribution diagram and the emissivity distribution diagram of the infrared coating to be detected, so that the damage of the coating falling off, bubbles and cracks can be judged under the non-contact condition, secondary damage to the coating is avoided, and the judgment accuracy and efficiency are improved; the accuracy of the acquired data can be improved by synchronously acquiring the temperature and the emissivity, and the accuracy of damage judgment is further improved; and the stability state of the coating is obtained according to the damage type of the coating, so that the coating can be analyzed, processed and judged later.
In the application, the technical schemes can be mutually combined to realize more preferable combination schemes. Additional features and advantages of the application will be set forth in the description which follows, and in part will be obvious from the description, or may be learned by practice of the application. The objectives and other advantages of the application may be realized and attained by the structure particularly pointed out in the written description and drawings.
Drawings
The drawings are only for purposes of illustrating particular embodiments and are not to be construed as limiting the application, like reference numerals being used to refer to like parts throughout the several views.
FIG. 1 is a schematic diagram of a system for evaluating the stability of an infrared coating according to an embodiment of the present application;
fig. 2 is a schematic structural diagram of a data acquisition device according to an embodiment of the present application;
fig. 3 is a schematic structural diagram of an integrated carrier wheel in embodiment 2 of the present application.
Reference numerals:
1-a heater; 2-a thermal infrared imager lens; 3-an integrated carrier wheel; 4-a high-precision stepper motor; 5-thermal infrared imager; 6-an upper computer; 31-a window unit; 32-a first filter unit; 33-a second filter unit; 34-a surface source blackbody unit; 35-thermocouple.
Detailed Description
The following detailed description of preferred embodiments of the application is made in connection with the accompanying drawings, which form a part hereof, and together with the description of the embodiments of the application, are used to explain the principles of the application and are not intended to limit the scope of the application.
The existing infrared coating damage judgment method is that the existing infrared coating damage judgment method relies on the expertise of operators through physical inspection, has low efficiency and is easy to cause secondary damage; one is visible light image analysis, which does not allow for the determination of defects that are not apparent in the image, and relies on training models. Both existing decisions do not contain temperature factors, but the damage to the coating changes with temperature, and the damage shows different characteristics at different temperatures, making accurate stability assessment difficult. Therefore, the application provides the stability evaluation system for the infrared coating, and the surface temperature and emissivity data of the infrared coating to be measured are collected, and the damage position and the damage type of the infrared coating to be measured are analyzed through the surface temperature and the emissivity data of the infrared coating to be measured, so that the accuracy and the efficiency of damage judgment are improved, and further, accurate stability evaluation is performed.
In one embodiment of the present application, a system for evaluating the stability of an infrared coating is disclosed, as shown in FIG. 1, comprising:
the data acquisition device is used for acquiring a full-band radiation brightness map, two radiation brightness maps of different bands and a blackbody radiation brightness map of the infrared coating to be detected;
the temperature distribution map acquisition module is used for acquiring a temperature distribution map of the infrared coating to be detected according to the two radiation brightness maps with different wave bands;
the emissivity distribution diagram acquisition module is used for correcting the blackbody radiation brightness diagram according to the temperature distribution diagram to obtain a corrected blackbody radiation brightness diagram; obtaining an emissivity distribution diagram of the infrared coating to be detected according to the full-band radiance map and the corrected blackbody radiance map;
the damage judging module is used for judging the damage of the infrared coating to be detected based on the temperature distribution diagram and the emissivity distribution diagram and obtaining the damage area corresponding to each damage type;
the coating stability evaluation module is used for obtaining the stability state of the infrared coating according to the obtained damage type of the infrared coating and the damage area corresponding to each damage type;
and the result output module is used for outputting the damage type and the stability state of the infrared coating to be detected.
In implementation, as shown in fig. 2, the data acquisition device comprises a heating table 1, a thermal infrared imager lens 2, an integrated carrier wheel 3 and a thermal infrared imager 5 which are sequentially arranged, wherein center points of the heating table 1, the thermal infrared imager lens 2 and the thermal infrared imager 5 are on the same straight line;
the heating table 1 is used for placing and heating the infrared coating to be measured;
the thermal infrared imager lens 2 is used for converging the generated radiation of the infrared coating to be detected;
the integrated carrier wheel is used for receiving radiation generated by the infrared coating to be detected, filtering full-wave-band radiation and two different-wave-band radiation respectively, and emitting blackbody radiation;
the infrared thermal imager is used for receiving the radiation and the blackbody radiation after the infrared coating to be detected is filtered, and imaging the filtered radiation and the blackbody radiation to form a full-band radiation brightness map, two radiation brightness maps with different wave bands and a blackbody radiation brightness map.
It can be understood that when the infrared coating data to be detected is acquired, the infrared coating to be detected is heated to any temperature within the temperature range of the infrared coating to be detected in the working process, so that the infrared coating to be detected can show the working state, the characteristics of the infrared coating to be detected are better, and the acquired data can be more accurately used for detecting the damage of the infrared coating to be detected.
Specifically, the coating radiation brightness map, the radiation brightness map with different wave bands and the blackbody radiation brightness map have the same size and correspond to the pixel points one by one.
In specific implementation, as shown in fig. 3, the integral carrier wheel 3 is sequentially provided with a hollow window unit 31, a first band filter unit 32, a second band filter unit 33 and a surface source blackbody unit 34 around the center; wherein, thermocouple 35 is arranged in the surface source blackbody unit. More specifically, the window unit 31 is configured to filter radiant energy of the infrared coating to be measured, so that radiant energy of a full wave band can be transmitted, the first wave band filter unit 32 and the second wave band filter unit 33 are configured to filter radiant energy of the infrared layer to be measured, so that radiant energy of two different wave bands can be transmitted, and radiant energy of other wave bands can be filtered; the surface source blackbody unit 34 is used for emitting blackbody radiation energy; the thermocouple 35 is used to collect the temperature of the surface source blackbody unit.
The data acquisition device further comprises a high-precision stepping motor 4, wherein the high-precision stepping motor 4 is connected with the rotation center of the integrated carrier wheel 3 and used for controlling the integrated carrier wheel 3 to rotate so as to realize switching of each unit on the integrated carrier wheel 3.
More specifically, the centers of the units on the integral carrier wheel 3 are set at intervals relative to the center point of the integral carrier wheel 3, wherein the angle is matched with the step angle of the high-precision stepping motor 4, so that the high-precision stepping motor 4 can control the switching of the units on the integral carrier wheel 3 in the shortest time, and the centers of the switched units are aligned with the center of the thermal infrared imager lens 2.
By way of example, the high-precision stepper motor 4 selects two phases, 200 steps are integrated, the basic step angle is 1.8 degrees, each step rotates by 1.8 degrees, and then the fixed angle of each unit on the integrated carrier wheel 3 is set to be 51 degrees, so that the switching of each unit can be completed in the shortest time, and the center of a target unit and the center of the thermal infrared imager lens 4 can be aligned.
In the specific implementation, the hollow window unit 31, the first band filter unit 32, the second band filter unit 33 and the surface source blackbody unit 34 on the integrated carrier wheel are all in a circular structure, and the radius is 55cm; the number of thermocouples 35 is 1, and the thermocouples are arranged in the center of the surface source blackbody unit.
In specific implementation, the first band filter unit 32 and the second band filter unit 33 are determined by the following ways:
determining a long wave band or a short wave band according to the infrared coating to be detected; two band wavelengths whose difference is smaller than a set difference threshold are selected from the determined long band or short band as center wavelengths of the first band filter unit 32 and the second band filter unit 33, respectively. It can be appreciated that the infrared coating materials are different, the radiation signals are different, and the filter capable of reflecting the wave band wavelength of the radiation signals of the infrared coating is selected.
Specifically, the short-band wavelength is generally 1-3 um, the long-band wavelength is generally 7.5-14 um, the difference threshold corresponding to the short-band is set to 1um, and the difference threshold corresponding to the long-band is set to 2.5um. For example, if the wavelength band is determined to be a long wavelength band according to the infrared coating to be measured, the wavelength band of the two selected filter units is 10um and 8um.
During implementation, the data acquisition device is connected with the upper computer 6, and the upper computer 6 is used for controlling the rotation of the high-precision stepping motor 4, and then controlling the rotation of the integrated carrier wheel 3, and the upper computer 6 also receives data acquired by the stored data acquisition device. And the upper computer 6 is also integrated with a temperature distribution diagram acquisition module, an emissivity distribution diagram acquisition module, a damage judgment module, a coating stability evaluation module and a result output module, and the operations of the modules are executed to finish the damage judgment and the stability evaluation of the infrared coating to be tested.
In implementation, the temperature distribution diagram obtaining module obtains the temperature T (i, j) of the ith row and jth column of pixel points in the infrared coating temperature distribution diagram to be detected through the following formula:
wherein L is a (i,j)、L b (i, j) respectively represent the pixel values of the pixel points of the ith row and the jth column in the two different wave band radiation brightness maps, wherein L b (i, j) the corresponding band wavelength is greater than L a (i, j) corresponding band wavelengths; A. b respectively represents temperature parameters corresponding to the radiation brightness graphs of two different wave bands, wherein the temperature parameters are obtained by fitting the non-destructive coating of the same material as the infrared coating to be detected under different temperatures of the radiation brightness graphs of two different wave bands.
It will be appreciated that the lower surface of the coating is heated as it is heated, such that the temperatures of the upper and lower surfaces of the coating will vary, and therefore, even if the coating is heated at a certain temperature, the temperature of the coating will not be uniform.
In particular, the temperature parameters a and B are determined according to the following manner:
collecting a first band radiation brightness map and a second band radiation brightness map of the lossless coating at different temperatures within a set temperature range; the nondestructive coating is made of the same material as the infrared coating to be detected;
and carrying out nonlinear fitting according to the following formula to obtain temperature parameters A and B:
wherein T' k Represents the kth temperature, L 'of the non-destructive coating' a A first band radiance map, L ', representing the temperature of the non-destructive coating at k-th' b Indicating that the coating is on the non-destructive coatingA second band radiance plot for the kth temperature.
More specifically, the heating table 1 is further provided with a nondestructive coating layer made of the same material as the infrared coating layer to be measured for heating, the high-precision stepper motor 4 controls the integrated carrier wheel 3 to rotate to the first band filter unit 32 and the second filter unit 33 respectively and stay, and two radiation brightness maps of different bands at different temperatures within a set temperature range are acquired respectively.
When the infrared coating to be detected is determined, the temperature parameters A and B are obtained according to the corresponding nondestructive coating of the infrared coating to be detected, and then the temperature distribution diagram of the infrared coating to be detected is obtained according to the two different wave band radiation brightness diagrams of the infrared coating to be detected.
In implementation, the emissivity distribution diagram obtaining module obtains the blackbody radiation brightness L of the ith row and jth column pixel points of the infrared coating to be tested in the corrected blackbody radiation brightness diagram through the following formula bby (i, j) is expressed as:
wherein L is bb0 The blackbody radiation brightness of the surface source blackbody of the infrared coating to be tested at any pixel point is represented by L b0 Is expressed in a standard plane source blackbody radiation brightness curve in a curve of L bb0 Standard blackbody radiation brightness corresponding to the temperature of the surface source blackbody at the corresponding pixel point, L by (i, j) represents the standard blackbody radiation luminance corresponding to the pixel point in the ith row and jth column of the temperature distribution map in the standard plane source blackbody radiation luminance curve at the temperature of the pixel point.
It can be understood that due to the change of the surrounding environment of the coating to be detected, the black body radiation brightness map collected each time has a difference, so that the radiation brightness of the standard black body surface source is taken as a reference, and the black body radiation brightness corresponding to each pixel point of the infrared coating to be detected is corrected according to the temperature distribution of the infrared coating to be detected.
In specific implementation, the standard blackbody radiation brightness curve is obtained according to the following modes:
collecting standard blackbody radiation brightness diagrams of standard surface source blackbody at different temperatures at fixed temperature intervals within a set temperature range; specifically, the temperature interval may be set to 15 °, 20 °, or the like.
Obtaining a radiation brightness curve corresponding to each pixel point of the standard surface source black body in a temperature range according to polynomial fitting; wherein each pixel point of the standard surface source black body corresponds to each pixel point in the temperature distribution map one by one. Preferably, a polynomial fitting is selected to obtain a radiation brightness curve corresponding to each pixel point in a temperature range.
More specifically, a standard surface source black body can be placed on the heating table 1 for heating, the integrated carrier wheel 3 is rotated to the empty window unit 31 by the high-precision stepping motor 4, and standard black body radiation brightness diagrams of different temperatures of the standard surface source black body at fixed temperature intervals in a set range are collected.
It should be noted that, the standard blackbody radiation brightness curve is used for correcting the blackbody radiation brightness of the surface source blackbody of the infrared coating to be measured, and after the setting, the blackbody radiation brightness is not changed due to the difference of the infrared coating to be measured.
It should be noted that the temperature range set when the standard blackbody radiation brightness curve is obtained, the temperature ranges set when the temperature parameters a and B are obtained are identical to the operating temperature range of the infrared image layer to be measured, or the temperature range set when the standard blackbody radiation brightness curve is obtained is greater than the operating temperature range of the infrared image layer to be measured. Illustratively, each temperature range is 25-1000 ℃.
In implementation, the emissivity distribution diagram obtaining module obtains the emissivity E (i, j) of the ith row and the jth column of pixel points in the emissivity distribution diagram of the infrared coating to be detected through the following formula:
wherein L is y (i, j) represents the full-band radiance map in the ith rowCoating radiation brightness of j rows of pixel points.
When in implementation, the damage judging system further comprises a texture feature block determining module, which is used for determining texture feature blocks of the infrared coating to be detected; the texture feature block comprises a block structure and/or a slit shape;
specifically, when determining the texture feature blocks of the infrared coating to be detected, the texture feature block determining module can select an albedo image, a visible light image with different angles, a gray level image and the like to identify the texture feature blocks, so that the texture feature blocks which are abnormal in the infrared coating to be detected can be identified and determined.
In specific implementation, the damage determination module determines the damage to the infrared coating to be tested by performing the following operations:
and taking the corresponding region of each texture feature block of the infrared coating to be detected in the temperature distribution diagram and the emissivity distribution diagram as a reference region, and expanding each reference region to obtain a corresponding surrounding region.
More specifically, when the reference region is expanded, the number of expanded pixels is set according to the requirement, each edge point of the reference region is expanded outwards by the number of pixels to obtain an expanded region, and the reference region in the expanded region is deleted to obtain a surrounding region corresponding to the reference region. The number of the pixel points which are set to be expanded can be determined according to the determined texture feature blocks, so that the expanded area is prevented from overlapping with other texture feature blocks.
And determining the damage type of each reference area according to the temperature relation between each reference area and the corresponding surrounding area in the temperature distribution diagram and the emissivity relation between each reference area and the corresponding surrounding area in the emissivity distribution diagram.
More specifically, the damage types of the infrared coating to be detected include falling damage, cracking damage and bubble damage. Wherein the shedding damage comprises coating shedding and coating stripping; crack-like damage includes coating cracking and coating scoring.
In specific implementation, the damage determination module determines, for each reference area, a damage type by performing the following operations:
if the lowest temperature of the reference area in the temperature distribution diagram is higher than the highest temperature of the corresponding surrounding area, and the lowest emissivity of the reference area in the emissivity distribution diagram is higher than the highest emissivity of the corresponding surrounding area, judging that the infrared coating to be detected is damaged; at this time, if the texture feature block is of a block structure, the texture feature block is a falling type damage; if the texture feature block is in a crack shape, the texture feature block is a crack type damage;
if the highest temperature of the reference region in the temperature distribution diagram is lower than the lowest temperature of the corresponding surrounding region, and the highest emissivity of the reference region in the emissivity distribution diagram is lower than the lowest emissivity of the corresponding surrounding region, and the texture feature block is in a block structure, the texture feature block is a bubble damage.
The temperature profile and the emissivity profile of the infrared coating to be measured are represented by the following matrix, where t m,n Representing the temperature value of the nth column of the mth row of the infrared coating to be measured; e, e m,n The emissivity values at the mth row and nth column of the infrared coating to be measured are shown.
The dotted line part in the matrix is a determined texture feature block, and the part is taken as a reference area in the temperature distribution diagram; the region outside the reference region is taken as the surrounding region of the reference region in the temperature distribution map, and the reference region is expanded to the maximum in the temperature distribution map; the region other than the reference region in the emissivity profile is the surrounding region of the reference region, and the reference region is expanded to the maximum in the emissivity profile.
If the minimum value in the pixel points of the reference area in the temperature distribution diagram is larger than the maximum value of the surrounding area, the minimum value in the pixel points of the reference area in the emissivity distribution diagram is larger than the maximum value of the surrounding area, the minimum temperature of the reference area is higher than the highest temperature of the corresponding surrounding area, the minimum emissivity of the reference area is higher than the highest emissivity of the corresponding surrounding area, and the infrared coating to be detected is damaged; and the texture feature block is of a rectangular or block-shaped structure, and the position of the texture feature block of the infrared coating to be detected is obtained as falling damage.
If the maximum value in the pixel points of the reference area in the temperature distribution diagram is smaller than the minimum value of the surrounding area, the maximum value in the pixel points of the reference area in the emissivity distribution diagram is smaller than the minimum value of the surrounding area, the highest temperature of the reference area is lower than the lowest temperature of the corresponding surrounding area, the highest emissivity of the reference area is lower than the lowest emissivity of the corresponding surrounding area, and the infrared coating to be detected is damaged; and the texture feature block is of a rectangular or block-shaped structure, and the position of the texture feature block of the infrared coating to be detected is obtained as bubble damage.
The temperature profile and the emissivity profile of the infrared coating to be measured are represented by the following matrix, where t m,n Representing the temperature value of the nth column of the mth row of the infrared coating to be measured; e, e m,n The emissivity values at the mth row and nth column of the infrared coating to be measured are shown.
The dotted line part in the matrix is a determined texture feature block, and the part is taken as a reference area in the temperature distribution diagram; the region outside the reference region is taken as the surrounding region of the reference region in the temperature distribution map, and the reference region is expanded to the maximum in the temperature distribution map; the region other than the reference region in the emissivity profile is the surrounding region of the reference region, and the reference region is expanded to the maximum in the emissivity profile.
If the minimum value in the pixel points of the reference area in the temperature distribution diagram is larger than the maximum value of the surrounding area, the minimum value in the pixel points of the reference area in the emissivity distribution diagram is larger than the maximum value of the surrounding area, the minimum temperature of the reference area is higher than the highest temperature of the corresponding surrounding area, the minimum emissivity of the reference area is higher than the highest emissivity of the corresponding surrounding area, and the infrared coating to be detected is damaged; and the texture feature block is in a crack shape, and the position of the texture feature block of the infrared coating to be detected is obtained as crack damage.
The temperature profile and the emissivity profile of the infrared coating to be measured are represented by the following matrix, where t m,n Representing the temperature value of the nth column of the mth row of the infrared coating to be measured; e, e m,n The emissivity values at the mth row and nth column of the infrared coating to be measured are shown.
And determining no texture characteristic block structure in the matrix, which indicates that the coating to be tested is not damaged.
In specific implementation, the damage determination module obtains the damage area corresponding to each damage type by executing the following operations:
and obtaining the damage area of each damage based on the pixels contained in the reference area corresponding to the infrared coating by the determined coating damage, and obtaining the damage area corresponding to each damage type in the infrared coating based on the damage type. It will be appreciated that each type of lesion includes one or more locations in the infrared coating area, and that the area of each type of lesion in the infrared coating area is the total area of all reference areas to which that type of lesion corresponds.
In practice, the coating stability assessment module obtains the stability status of the infrared coating by:
s1, obtaining a coating damage degree D according to the damage type of the infrared coating and the corresponding region of the infrared coating, wherein the damage degree D is expressed as:
wherein Q represents the area of the infrared coating, alpha m Scale factor, q, representing the mth injury type m Represents the damage area of the mth damage type in the infrared coating region, and M represents the number of damage types.
More specifically, the damage types include a shedding damage, a bubble damage and a crack damage, wherein the scaling factor of the shedding damage is larger than that of the bubble damage and the crack damage, and the specific setting can be set according to the requirement.
Preferably, when the damage degree is calculated, the damage degree of the infrared coating can be better represented by further refining according to the position of the damage, and the damage degree is specifically represented as follows:
in the method, in the process of the application,the scaling factor of the coating damage at the nth place representing the mth damage type, nm being the total number of areas of the mth damage type in the infrared coating, +.>The nth coating damage representing the mth damage type is at the area of the infrared coating; the proportion coefficient is set according to the type of each damage and the importance degree of the position of the damage.
S2, comparing the obtained damage degree of the coating with a preset stability threshold value,
if the damage degree of the coating is greater than the stability threshold, the infrared coating is unstable, and the greater the damage degree of the coating is, the poorer the stability of the infrared coating is;
if the damage degree of the coating is smaller than the stability threshold, the infrared coating is stable, and the smaller the damage degree of the coating is, the better the stability of the infrared coating is;
if the degree of damage to the coating is equal to the stability threshold, the infrared coating is critically stable.
Specifically, the stability threshold may be set according to actual testing requirements.
It can be appreciated that the application field, environment and effective time of the current infrared coating can be analyzed according to the stable state of the infrared coating, so that the infrared coating in the corresponding environment can be maintained and replaced in time.
Compared with the prior art, the stability evaluation system for the infrared coating provided by the embodiment acquires the temperature distribution diagram and the emissivity distribution diagram of the infrared coating to be detected through data acquisition to judge the damage of the infrared coating to be detected, can judge the falling-off, bubble and crack damage of the coating under the non-contact condition, does not cause secondary damage to the coating, and improves the judgment accuracy and efficiency; the accuracy of the acquired data can be improved by synchronously acquiring the temperature and the emissivity, and the accuracy of damage judgment is further improved; and the stability state of the coating is obtained according to the damage type of the coating, so that the subsequent analysis processing and judgment of the coating are facilitated.
Those skilled in the art will appreciate that all or part of the flow of the methods of the embodiments described above may be accomplished by way of a computer program to instruct associated hardware, where the program may be stored on a computer readable storage medium. Wherein the computer readable storage medium is a magnetic disk, an optical disk, a read-only memory or a random access memory, etc.
The present application is not limited to the above-mentioned embodiments, and any changes or substitutions that can be easily understood by those skilled in the art within the technical scope of the present application are intended to be included in the scope of the present application.
Claims (7)
1. A system for evaluating the stability of an infrared coating, comprising:
the data acquisition device is used for acquiring a full-band radiation brightness map, two radiation brightness maps of different bands and a blackbody radiation brightness map of the infrared coating to be detected;
the temperature distribution map acquisition module is used for acquiring a temperature distribution map of the infrared coating to be detected according to the two radiation brightness maps with different wave bands; the temperature distribution diagram acquisition module obtains the temperature T (i, j) of the ith row and jth column pixel points in the temperature distribution diagram of the infrared coating to be detected through the following formula:
wherein L is a (i,j)、L b (i, j) respectively represent the pixel values of the pixel points of the ith row and the jth column in the two different wave band radiation brightness maps, wherein L b (i, j) the corresponding band wavelength is greater than L a (i, j) corresponding band wavelengths; A. b respectively represents temperature parameters corresponding to the radiation brightness graphs of two different wave bands, wherein the temperature parameters are obtained by fitting the non-destructive coatings of the same material as the infrared coating to be detected under different temperatures of the radiation brightness graphs of the two different wave bands;
the emissivity distribution diagram acquisition module is used for correcting the blackbody radiation brightness diagram according to the temperature distribution diagram to obtain a corrected blackbody radiation brightness diagram; obtaining an emissivity distribution diagram of the infrared coating to be detected according to the full-band radiance map and the corrected blackbody radiance map; the emissivity distribution diagram obtaining module obtains the blackbody radiation brightness L of the ith row and the jth column of pixel points of the infrared coating to be detected in the corrected blackbody radiation brightness diagram through the following formula bby (i,j)：
Wherein L is bb0 The blackbody radiation brightness of the surface source blackbody of the infrared coating to be tested at any pixel point is represented by L b0 Is expressed in a standard plane source blackbody radiation brightness curve in a curve of L bb0 Standard blackbody radiation brightness corresponding to the temperature of the surface source blackbody at the corresponding pixel point, L by (i, j) represents the standard blackbody radiation brightness corresponding to the ith row and jth column of pixel points in the temperature distribution diagram in the standard plane source blackbody radiation brightness curve at the temperature of the pixel points;
the emissivity distribution diagram acquisition module obtains the emissivity E (i, j) of the ith row and jth column pixel points in the infrared coating emissivity distribution diagram to be detected through the following formula:
wherein L is y (i, j) represents the coating radiation brightness of the pixel point in the ith row and the jth column in the full-band radiation brightness graph;
the damage judging module is used for judging the damage types of the infrared coating to be detected based on the temperature distribution diagram and the emissivity distribution diagram and obtaining damage areas corresponding to the damage types;
the coating stability evaluation module is used for obtaining the stability state of the infrared coating according to the obtained damage type of the infrared coating and the damage area corresponding to each damage type; the coating stability evaluation module obtains the stability state of the infrared coating by the following method:
and obtaining the damage degree D of the coating according to the damage type of the infrared coating and the corresponding region of the infrared coating, wherein the damage degree D is expressed as:
wherein Q represents the area of the infrared coating, alpha m Scale factor, q, representing the mth injury type m Representing the damage area of the mth damage type in the infrared coating area, and M represents the number of the damage types;
according to the obtained damage degree of the coating and the preset stability threshold value,
if the damage degree of the coating is greater than the stability threshold, the infrared coating is unstable, and the greater the damage degree of the coating is, the poorer the stability of the infrared coating is;
if the damage degree of the coating is smaller than the stability threshold, the infrared coating is stable, and the smaller the damage degree of the coating is, the better the stability of the infrared coating is;
if the damage degree of the coating is equal to the stability threshold, the infrared coating is critically stable;
the result output module is used for outputting the damage type and the stability state of the infrared coating to be detected;
the infrared coating detection device further comprises a texture feature block determination module which is used for determining texture feature blocks of the infrared coating to be detected; the texture feature block comprises a block structure and/or a slit shape;
the damage determination module determines the damage to the infrared coating to be tested by performing the following operations:
taking the corresponding region of each texture feature block of the infrared coating to be detected in the temperature distribution map and the emissivity distribution map as a reference region, and expanding each reference region to obtain a corresponding surrounding region;
determining the damage type of each reference area according to the temperature relation between each reference area and the corresponding surrounding area in the temperature distribution diagram and the emissivity relation between each reference area and the corresponding surrounding area in the emissivity distribution diagram; wherein,
the damage determination module determines the damage type for each reference region by performing the following operations:
if the lowest temperature of the reference area in the temperature distribution diagram is higher than the highest temperature of the corresponding surrounding area, and the lowest emissivity of the reference area in the emissivity distribution diagram is higher than the highest emissivity of the corresponding surrounding area, judging that the infrared coating to be detected is damaged; at this time, if the texture feature block is of a block structure, the texture feature block is a falling type damage; if the texture feature block is in a crack shape, the texture feature block is a crack type damage;
if the highest temperature of the reference region in the temperature distribution diagram is lower than the lowest temperature of the corresponding surrounding region, and the highest emissivity of the reference region in the emissivity distribution diagram is lower than the lowest emissivity of the corresponding surrounding region, and the texture feature block is in a block structure, the texture feature block is a bubble damage.
2. The infrared coating stability assessment system of claim 1, wherein the data acquisition device comprises a heating table, a thermal infrared imager lens, an integrated carrier wheel and a thermal infrared imager which are sequentially arranged, and the center points of the heating table, the thermal infrared imager lens and the thermal infrared imager are on the same straight line;
the heating table is used for placing and heating the infrared coating to be measured;
the thermal infrared imager lens is used for converging the generated radiation of the infrared coating to be detected;
the integrated carrier wheel is used for receiving radiation generated by the infrared coating to be detected, filtering full-wave-band radiation and two different-wave-band radiation respectively, and emitting blackbody radiation;
the infrared thermal imager is used for receiving the radiation and the blackbody radiation after the infrared coating to be detected is filtered, and imaging the filtered radiation and the blackbody radiation to form a full-band radiation brightness map, two radiation brightness maps with different wave bands and a blackbody radiation brightness map.
3. The infrared coating stability assessment system of claim 2, wherein,
the integrated carrier wheel is sequentially provided with a hollow window unit, a first band filter unit, a second band filter unit and a surface source blackbody unit around the center; wherein, a thermocouple is arranged in the surface source blackbody unit;
the data acquisition device further comprises a high-precision stepping motor, wherein the high-precision stepping motor is connected with the rotation center of the integrated carrier wheel and used for controlling the integrated carrier wheel to rotate so as to realize switching of all units on the integrated carrier wheel.
4. The infrared coating stability assessment system of claim 3, wherein the center of each unit disposed on the integral carrier wheel is spaced by a set angle relative to the center point of the integral carrier wheel, wherein the angle matches the step angle of the high precision stepper motor, so that the high precision stepper motor controls switching of each unit on the integral carrier wheel in a minimum time and the center of the switched unit is aligned with the center of the lens of the thermal infrared imager.
5. The system for evaluating the stability of an infrared coating according to claim 3, wherein the hollow window unit, the first optical filter unit, the second optical filter unit and the surface source black body on the integrated carrier wheel are all of circular structures, and have a radius of 55cm; the number of thermocouples is 1, and the thermocouples are arranged in the center of the surface source blackbody unit.
6. The infrared coating stability assessment system of claim 5, wherein the first band filter unit, the second band filter unit are determined by:
determining a long wave band or a short wave band according to the infrared coating to be detected; and selecting two wave band wavelengths with the difference value smaller than a set difference threshold value from the determined long wave band or short wave band as the center wavelengths of the first wave band filter unit and the second wave band filter unit respectively.
7. The system of claim 1, wherein the damage determination module obtains the damage area corresponding to each damage type by:
and obtaining the damage area of each damage based on the pixels contained in the reference area corresponding to the infrared coating by the determined coating damage, and obtaining the damage area corresponding to each damage type in the infrared coating based on the damage type.
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