Data detection method of reflective thermal insulation coating detection sample

Abstract

The invention belongs to the technical field of material detection, and provides a data detection method for a reflective thermal insulation coating detection sample, which can accurately control the spraying speed, the spraying distance and the spraying angle through an automatic coating spraying machine, and simulate possible weather conditions in an actual use environment through a maintenance box and a xenon lamp aging testing machine. The temperature of the back of the reference blackboard and the back of the detection sample can be accurately recorded in real time, the heat insulation effect of the coating can be comprehensively and objectively known by comparing the temperature difference between the two, the problems of low preparation efficiency and inaccurate data acquisition in manual operation are avoided, accurate control over the ratio, stirring speed and time parameters of the coating is guaranteed, and the production efficiency is improved. The fluctuation of sample performance is reduced, and better data acquisition is realized.

Description

TECHNICAL FIELD

[0001] The application belongs to the technical field of material detection, and particularly relates to a data detection method for a reflective thermal insulation coating detection sample. BACKGROUND

[0002] The reflective thermal insulation coating is a coating prepared from a synthetic resin as a base material, functional pigments and fillers, and additives, and has high solar reflectance, near-infrared reflectance, and hemispherical reflectivity, and can effectively reduce the temperature of the surface of a coated object, thereby achieving thermal insulation effect. According to the provisions of Article 6.4.3.1 of the "Thermal Reflective Thermal Insulation Coating for Building Outer Surface" JC / T 1040-2020, when preparing the reflective thermal insulation coating detection sample, the uniformly mixed coating is scraped or sprayed on the surface of an aluminum alloy plate, and at least two applications are performed with a time interval of no less than 6 hours, the total dry film thickness of the solvent-based product is controlled to be 0.10 m to 0.20 m, and the water-based product is controlled to be 0.15 mm to 0.30 mm. The test is performed after the sample is maintained for 7 days under standard test conditions. Currently, the coating is scraped or sprayed on the surface of the aluminum alloy plate by manual operation. The coating brushing time is relatively long, and the coating brushing quality varies from person to person. Currently, the preparation and detection of the reflective thermal insulation coating mostly rely on manual operation, and there are problems such as low preparation efficiency, poor consistency, and inaccurate data acquisition. In the manual preparation process, the parameters such as the ratio of the coating, the stirring speed, and the time are difficult to accurately control, resulting in large fluctuations in the performance of the sample. In addition, the traditional detection method often relies on manual operation and naked eye observation, and the data acquisition accuracy and efficiency are limited. To solve the above problems, the application provides a data detection method for a reflective thermal insulation coating detection sample. SUMMARY

[0003] In order to overcome the above-mentioned shortcomings of the prior art, the purpose of the application is to provide a data detection method for a reflective thermal insulation coating detection sample.

[0004] The technical scheme adopted by the application to solve the technical problems is:

[0005] A data detection method for a reflective thermal insulation coating detection sample, comprising the following steps:

[0006] S1, automatic coating spraying: placing an aluminum plate on a coating automatic spraying machine, and automatically spraying the coating on the surface of the aluminum plate by the coating automatic spraying machine to prepare a reflective thermal insulation coating detection sample to be detected;

[0007] S2, environmental simulation maintenance: after the coating brushing is completed, placing the detection sample in a maintenance box, and controlling the air temperature and humidity in the box during the maintenance;

[0008] S3. Xenon lamp aging test: After the curing of the reflective thermal insulation coating test sample is completed, the xenon lamp aging test machine is turned on to perform an aging test simulation, and the test parameters of the xenon lamp aging test machine are adjusted to simulate the aging of the reflective thermal insulation coating test sample;

[0009] S4. Record temperature data. When the set irradiance, temperature and humidity are reached, the timing starts. The automatic temperature measuring device simultaneously records the temperature of the reference blackboard and the back of the test sample, and uploads the recorded temperature values ​​to the computer in real time.

[0010] S5. Calculate the thermal insulation temperature difference. The temperature difference between the two plate surfaces is automatically calculated by a computer, which is the thermal insulation temperature difference of the reflective thermal insulation coating test sample. Perform multiple tests and obtain the average value to obtain the thermal insulation parameters of the reflective thermal insulation coating test sample.

[0011] S6. Determine the sunlight reflectance and near-infrared reflectance of the reflective thermal insulation coating test sample:

[0012] s61. Prepare a spectrophotometer, integrating sphere, and standard white plate;

[0013] s62. Set the instrument parameters and calibrate using a standard white plate;

[0014] s63, testing the test sample in step S3, collecting samples from two or more different locations on the surface of the aluminum plate for testing;

[0015] s64, perform data calculation and obtain the result;

[0016] S7. Determine the infrared hemispherical emissivity of the reflective thermal insulation coating test sample:

[0017] s71. Prepare test equipment;

[0018] s72, prepare a test plate according to the method of step S3;

[0019] s72. In a standard laboratory environment, adjust the state so that the temperature of the high and low emissivity boards, heat sink and test board are consistent;

[0020] s73. Turn on the power of the test device and allow the instrument to warm up;

[0021] s74. Place the high and low emissivity standard plates on the heat sink, and the detector on the high and low emissivity standard plates respectively. Make fine adjustments to make the readings consistent with the marked values ​​on the standard plates, and repeat this step again.

[0022] s75. Place the test board on the heat sink, then place the detector on the test board until the reading is stable, which is the measurement result. The measurement results are averaged.

[0023] Preferably, in step S1, the reflective thermal insulation paint to be detected is poured into an automatic spraying machine, the outer surface of the aluminum plate is cleaned before spraying, and the outer surface is washed repeatedly 2-3 times by using clean water to remove impurities. The spraying pressure of the automatic paint spraying machine is 9.8 MPa, the spraying speed is 2 m / min, the parameters are set, the automatic paint spraying machine is started to spray, after spraying once, 6 h is waited, and spraying is performed again. The coating thickness is 0.1 mm-0.2 mm, and after drying and forming, the aluminum plate is taken out to prepare a sample to be detected.

[0024] Preferably, the sample curing process in step S2 is:

[0025] s21, place the detection sample in the curing box, close the curing box door, and seal the curing box;

[0026] s22, adjust the working parameters of the curing box, set the temperature and humidity values, and regularly check the working state of the curing box to check whether the working is stable;

[0027] s23, real-time monitoring of the curing state of the curing box;

[0028] s24, wait for the curing to be completed, take out the detection sample, clean and dry the outer surface of the detection sample again, and remove the moisture.

[0029] Preferably, the steps of the xenon lamp aging test in step S3 are:

[0030] s31, pre-check the xenon lamp aging tester to ensure normal work;

[0031] s32, place the detection sample in the tester;

[0032] s33, adjust the working parameters of the tester through the control panel;

[0033] s34, start the tester to perform the aging test of the detection sample, and record the temperature after the internal temperature reaches the set temperature and humidity.

[0034] Preferably, the timing time in step S4 is 2 h, the automatic temperature measuring device calculates the temperature value of the object based on the infrared radiation principle, the sensor is built-in in the automatic temperature measuring device, the temperature is measured through the sensor, the temperature of the reference blackboard and the back of the detection sample is recorded in real time, and uploaded to the computer.

[0035] Preferably, in step S5, the computer obtains the recorded values uploaded in step S4, substitutes them into the calculation formula, and calculates the temperature difference between the two plate surfaces;

[0036] The calculation formula is:

[0037] ΔT=T0-T s ;

[0038] Where ΔT is the insulation temperature difference with the reference blackboard, T0 is the average temperature on the back of the reference blackboard, T s In order to detect the average temperature of the back of the sample, multiple experiments were conducted to obtain the final average value, where the average value calculation formula is:

[0039]

[0040] Where K is the average value calculated after multiple tests, ΔT1 is the first set of insulation temperature difference data, ΔT2 is the second set of insulation temperature difference data, and ΔT n The nth group of thermal insulation temperature difference data, where n is the number of experiments, the final result is accurate to 0.1 ° C, and the thickness of the dry film of the test plate is reported.

[0041] Preferably, in step S64:

[0042] The formula for solar reflectance is:

[0043]

[0044] Where ρ is the solar reflectance of the test board, ρ0(λ) is the spectral reflectance of the standard white board, ρ(λ) is the spectral reflectance of the test board, S λ is the spectral distribution of solar radiation, Δλ is the wavelength interval;

[0045] The near-infrared reflectance formula is:

[0046]

[0047] where ρ NIR The near-infrared reflectance of the test plate, ρ0(λ) is the spectral reflectance of the standard white plate, ρ(λ) is the spectral reflectance of the test plate, S λ is the spectral distribution of solar radiation, and Δλ is the wavelength interval.

[0048] Preferably, in step S7 of s72: the aluminum plate is placed on an automatic paint sprayer, and the automatic paint sprayer automatically sprays the paint evenly onto the surface of the aluminum plate, and the paint is applied twice, with a spraying time interval greater than 7 hours, and a coating thickness of 0.1 mm, to prepare a test plate to be tested.

[0049] Preferably, the temperature in the curing box in step S2 is controlled at 21° C.-25° C., the relative humidity is controlled at 45%-55%, and the curing period is seven days.

[0050] Preferably, the test parameters of the xenon lamp aging tester in step S3 are set as follows: the irradiance is 0.51 W / m2 at 340 nm.

[0051] The air in the test cabin of the xenon lamp aging tester is controlled at a temperature range of 35-41 DEG C and a humidity range of 50-60 RH%, and the temperature of the reference blackboard ranges from 48 DEG C to 52 DEG C.

[0052] Compared with the prior art, the present application has the following advantages:

[0053] The data detection method for the reflective thermal insulation coating detection sample of the present application can accurately control the spraying speed, spraying distance and spraying angle through the automatic coating spraying machine, and can accurately record the temperatures of the reference blackboard and the back of the detection sample in real time by simulating the climate conditions that may be encountered in the actual use environment through the curing box and the xenon lamp aging tester, so that the thermal insulation effect of the coating can be comprehensively and objectively understood by comparing the temperature difference between the two, the problems of low preparation efficiency and inaccurate data acquisition in manual operation are avoided, the proportioning, stirring speed and time parameters of the coating are accurately controlled, the performance fluctuation of the sample is reduced, and better data acquisition is achieved. BRIEF DESCRIPTION OF DRAWINGS

[0054] In order to more clearly illustrate the technical solutions of the embodiments of the present application, the drawings needed in the embodiment description will be briefly introduced. Obviously, the drawings in the following description are some embodiments of the present application, and other drawings can be obtained by those skilled in the art without creative labor.

[0055] Figure 1 The present application is a step schematic diagram. DETAILED DESCRIPTION

[0056] In order to more clearly illustrate the technical solutions of the embodiments of the present application, the drawings needed in the embodiment description will be briefly introduced. Obviously, the drawings in the following description are some embodiments of the present application, and other drawings can be obtained by those skilled in the art without creative labor.

[0057] Unless otherwise defined, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this application belongs. The terminology used in the description herein is for describing particular embodiments only and is not intended to be limiting of the application.

[0058] A data detection method for detecting a reflective thermal insulation coating sample, see Figure 1 , comprising the following steps:

[0059] S1, automatic coating spraying: placing an aluminum plate on a coating automatic spraying machine, and the coating automatic spraying machine automatically sprays the coating on the surface of the aluminum plate to prepare a reflective thermal insulation coating detection sample to be detected;

[0060] S2, environmental simulation maintenance: after brushing, placing the detection sample in a maintenance box, and controlling the air temperature and humidity in the box during maintenance;

[0061] S3, xenon lamp aging test: after the reflective thermal insulation coating detection sample is maintained, starting a xenon lamp aging tester to simulate aging experiment, adjusting the test parameters of the xenon lamp aging tester, and simulating the aging of the reflective thermal insulation coating detection sample;

[0062] S4, recording temperature data: when the set irradiance and temperature and humidity are reached, timing starts, and the automatic temperature measuring device records the temperature of the reference blackboard and the back of the detection sample at the same time, and the recorded temperature value is uploaded to the computer in real time;

[0063] S5, calculating the thermal insulation temperature difference: the temperature difference between the surfaces of the two plates is automatically calculated by the computer, which is the thermal insulation temperature difference of the reflective thermal insulation coating detection sample, multiple tests are performed to obtain the average value, and the thermal insulation parameters of the reflective thermal insulation coating detection sample are obtained;

[0064] S6, measuring the solar reflectance and near-infrared reflectance of the reflective thermal insulation coating detection sample:

[0065] s61, preparing a spectrophotometer, an integrating sphere, and a standard white board;

[0066] s62, setting the parameters of the instrument and calibrating using the standard white board;

[0067] s63, detecting the detection sample of step S3, collecting more than two different positions on the surface of the aluminum plate, and detecting;

[0068] s64, data calculation, and obtaining the result;

[0069] S7, measuring the infrared hemispherical emissivity of the reflective thermal insulation coating detection sample:

[0070] s71, preparing a test instrument;

[0071] s72, prepare a test plate according to the method of step S3;

[0072] s72. In a standard laboratory environment, adjust the state so that the temperature of the high and low emissivity boards, heat sink and test board are consistent;

[0073] s73. Turn on the power of the test device and allow the instrument to warm up;

[0074] s74. Place the high and low emissivity standard plates on the heat sink, and the detector on the high and low emissivity standard plates respectively. Make fine adjustments to make the readings consistent with the marked values ​​on the standard plates, and repeat this step again.

[0075] s75. Place the test board on the heat sink, then place the detector on the test board until the reading is stable, which is the measurement result. The measurement results are averaged.

[0076] The data detection method for the reflective thermal insulation coating test sample of this embodiment uses the mechanical spraying method of the automatic coating sprayer to accurately control the spraying speed, spraying distance and spraying angle to ensure that the coating to be tested is evenly covered on the sample plate, and the parameters in the curing box are adjusted to within the acceptable range of the sample plate to ensure that the coating on the sample plate is better attached to the sample plate, providing accurate data for subsequent testing, and simulating the real external environment through a xenon lamp aging tester to perform aging treatment on the samples to be tested, accelerate the aging of the sample plate, reduce waiting time, and improve detection efficiency.

[0077] At the same time, the data of the two comparison groups of solar reflectance, near-infrared reflectance and infrared hemispherical emissivity are compared and referenced to comprehensively evaluate the thermal insulation performance, which can be easily compared. The automatic paint sprayer can accurately control the spraying speed, spraying distance and spraying angle through the preset program, simulating the climatic conditions that may be encountered in the actual use environment, and recording the temperature of the reference blackboard and the back of the test sample in real time and accurately. By comparing the temperature difference between the two, the thermal insulation effect of the paint can be fully and objectively understood, avoiding the problems of low preparation efficiency and inaccurate data collection in manual operation, ensuring the precise control of the paint ratio, stirring speed and time parameters, reducing the fluctuation of sample performance, and achieving better data collection.

[0078] Specifically, in step S1, the reflective thermal insulation coating to be tested is poured into the automatic sprayer. Before spraying, the outer surface of the aluminum plate is cleaned and rinsed with clean water for 2-3 times to remove impurities on the outer surface. The spraying pressure of the automatic paint sprayer is 9.8MPa, and the spraying speed is 2m / min. After setting the parameters, the automatic paint sprayer is started for spraying. After spraying once, wait for 6 hours and then spray again. The coating thickness is 0.1mm-0.2mm. After drying and forming, the aluminum plate is taken out and prepared as a sample to be tested.

[0079] Specifically, the sample curing process in step S2 is:

[0080] s21. Place the test sample in the curing box, close the door of the curing box, and seal the curing box;

[0081] s22. Adjust the working parameters of the curing box, set the temperature and humidity values, and regularly check the working status of the curing box to see if it is working stably;

[0082] s23. Real-time monitoring of the maintenance status of the maintenance box;

[0083] s24. Wait for the curing to be completed, take out the test sample, clean and dry the outer surface of the test sample again to remove moisture.

[0084] In the above sample curing process, the curing box door of the curing box is sealed in s21, which can effectively isolate the influence of the external environment on the sample curing; at the same time, the working status of the curing box is regularly checked in s22, which can timely discover the hidden dangers in the curing box work, deal with them and solve them, and ensure the stability of sample curing.

[0085] Specifically, the steps of the xenon lamp aging test in step S3 are:

[0086] s31. Check the xenon lamp aging tester in advance to ensure normal operation;

[0087] s32. Place the test sample inside the testing machine and fix it;

[0088] s33. Adjust the working parameters of the testing machine through the control panel;

[0089] s34. Start the testing machine and conduct an aging test on the test sample. After the internal temperature reaches the set temperature and humidity, record the temperature.

[0090] In the above xenon lamp aging test, by checking the working status of the xenon lamp aging tester, it is possible to avoid malfunction of the tester during operation and problems in the test, thereby ensuring the efficiency of the test. By adjusting the working parameters of the tester to simulate different environmental conditions, the aging conditions of the samples in different environments can be simulated.

[0091] Specifically, the timing time in step S4 is 2 hours. The automatic temperature measuring device calculates the temperature value of the object based on the principle of infrared radiation. The automatic temperature measuring device is equipped with a built-in sensor to measure the temperature. The temperature of the reference blackboard and the back of the test sample is recorded in real time and uploaded to the computer.

[0092] In this embodiment, the built-in sensors of the automatic temperature measuring device are eight groups of temperature measuring probes with an accuracy of not less than 0.1°C. They fit tightly to the sample to be tested and the back of the reference blackboard, have the function of automatic data recording and exporting, and are electrically connected to the computer to facilitate uploading of data to the computer.

[0093] Specifically, in step S5, the computer obtains the recorded value uploaded in step S4 and substitutes it into the calculation formula to calculate the temperature difference between the two plate surfaces;

[0094] The calculation formula is:

[0095] ΔT=T0-T s ;

[0096] Where ΔT is the insulation temperature difference with the reference blackboard, T0 is the average temperature on the back of the reference blackboard, T s In order to detect the average temperature of the back of the sample, multiple experiments were conducted to obtain the final average value, where the average value calculation formula is:

[0097]

[0098] Where K is the average value calculated after multiple tests, ΔT1 is the first set of insulation temperature difference data, ΔT2 is the second set of insulation temperature difference data, and ΔT n The nth group of thermal insulation temperature difference data, where n is the number of experiments, the final result is accurate to 0.1 ° C, and the thickness of the dry film of the test plate is reported.

[0099] Specifically, in step S64:

[0100] The formula for solar reflectance is:

[0101]

[0102] Where ρ is the solar reflectance of the test board, ρ0(λ) is the spectral reflectance of the standard white board, ρ(λ) is the spectral reflectance of the test board, S λ is the spectral distribution of solar radiation, Δλ is the wavelength interval;

[0103] The near-infrared reflectance formula is:

[0104]

[0105] where ρ NIR The near-infrared reflectance of the test plate, ρ0(λ) is the spectral reflectance of the standard white plate, ρ(λ) is the spectral reflectance of the test plate, S λ is the spectral distribution of solar radiation, and Δλ is the wavelength interval.

[0106] Meanwhile, in step S6, there are six collection points, and the preparation requirements for the test samples are that the coating thickness is 0.2mm-0.5mm and the curing time is 14d.

[0107] The solar reflectance in step S6 is the ratio of the solar radiation flux reflected by the coating surface to the solar radiation flux incident on the coating surface. The solar reflectance is calculated by measuring the intensity of the reflected light of the coating within a specific wavelength range. During measurement, it is necessary to ensure that the test sample is under the illumination of a standard light source and adjust the measurement angle to meet the test standard.

[0108] Specifically, in step S7 of s72: place the aluminum plate on an automatic paint sprayer, and the automatic paint sprayer automatically sprays the paint evenly onto the surface of the aluminum plate, applying it twice, with a spraying time interval greater than 7 hours, and a coating thickness of 0.1 mm, to prepare a test plate to be tested.

[0109] The infrared hemispherical emissivity in step S7 is the ratio of the infrared radiation flux emitted by the coating in the hemispherical direction to the radiation flux emitted by a black body at the same temperature. An infrared hemispherical emissivity meter is used to measure the radiation intensity of the coating in the hemispherical direction and calculate the infrared hemispherical emissivity. During the measurement, the temperature of the test sample is ensured to eliminate interference from the external environment.

[0110] Specifically, in step S2, the temperature within the curing chamber is controlled between 21°C and 25°C, the relative humidity is controlled between 45% and 55%, and the curing period lasts for seven days. These temperature, humidity, and curing period limits within the curing chamber simulate actual environmental conditions, promote stable curing of samples, and control humidity to prevent drying and cracking due to low humidity, providing a stable and suitable curing environment for the samples.

[0111] Specifically, the test parameters of the xenon lamp aging tester in step S3 are set as follows: when the irradiance is 340nm, the band is 0.51W / ㎡; the above test parameter settings of the xenon lamp aging tester simulate the actual lighting environment to accelerate the aging process of the material, allowing the test personnel to observe the changes in material properties in a short time, speed up the test process of the test personnel, and improve efficiency.

[0112] The air temperature in the test chamber of the xenon lamp aging tester is controlled within a range of 35°C to 41°C, the humidity is controlled within a range of 50RH% to 60RH%, and the thermometer range of the reference blackboard is controlled within a range of 48°C to 52°C.

[0113] The above description is merely a preferred embodiment of the present invention and does not constitute any form of limitation to the present invention. Therefore, any modifications, equivalent changes, and modifications made to the above embodiments based on the technical essence of the present invention without departing from the content of the technical solution of the present invention shall still fall within the scope of the technical solution of the present invention.

Claims

1. A data detection method for a reflective thermal insulation coating test sample, characterized in that: The following steps are involved: S1. Automatic coating spraying: Place the aluminum plate on an automatic coating sprayer, which automatically and evenly sprays the coating onto the surface of the aluminum plate to prepare a reflective thermal insulation coating test sample to be tested; S2. Environmental simulation curing: After the painting is completed, the test sample is placed in the curing box. During the curing period, the air temperature and humidity in the box are controlled; S3. Xenon lamp aging test: After the curing of the reflective thermal insulation coating test sample is completed, the xenon lamp aging test machine is turned on to perform an aging test simulation, and the test parameters of the xenon lamp aging test machine are adjusted to simulate the aging of the reflective thermal insulation coating test sample; S4. Record temperature data. When the set irradiance, temperature and humidity are reached, the timing starts. The automatic temperature measuring device simultaneously records the temperature of the reference blackboard and the back of the test sample, and uploads the recorded temperature values ​​to the computer in real time. S5. Calculate the thermal insulation temperature difference. The temperature difference between the two plate surfaces is automatically calculated by a computer, which is the thermal insulation temperature difference of the reflective thermal insulation coating test sample. Perform multiple tests and obtain the average value to obtain the thermal insulation parameters of the reflective thermal insulation coating test sample. S6. Determine the sunlight reflectance and near-infrared reflectance of the reflective thermal insulation coating test sample: s61. Prepare a spectrophotometer, integrating sphere, and standard white plate; s62. Set the instrument parameters and calibrate using a standard white plate; s63, testing the test sample in step S3, collecting samples from two or more different locations on the surface of the aluminum plate for testing; s64, perform data calculation and obtain the result; S7. Determine the infrared hemispherical emissivity of the reflective thermal insulation coating test sample: s71. Prepare test equipment; s72, prepare a test plate according to the method of step S3; s72. In a standard laboratory environment, adjust the state so that the temperature of the high and low emissivity boards, heat sink and test board are consistent; s73. Turn on the power of the test device and allow the instrument to warm up; s74. Place the high and low emissivity standard plates on the heat sink, and the detector on the high and low emissivity standard plates respectively. Make fine adjustments to make the readings consistent with the marked values ​​on the standard plates, and repeat this step again. s75. Place the test board on the heat sink, then place the detector on the test board until the reading is stable, which is the measurement result. The measurement results are averaged.

2. The data detection method for detecting a reflective thermal insulation coating sample according to claim 1, characterized in that: In step S1, the reflective thermal insulation coating to be tested is poured into the automatic sprayer. Before spraying, the outer surface of the aluminum plate is cleaned and rinsed with clean water for 2-3 times to remove impurities on the outer surface. The spraying pressure of the automatic paint sprayer is 9.8MPa and the spraying speed is 2m / min. After setting the parameters, the automatic paint sprayer is started for spraying. After spraying once, wait for 6 hours and then spray again. The coating thickness is 0.1mm-0.2mm. After drying and forming, the aluminum plate is taken out and prepared as a sample to be tested.

3. The data detection method for detecting a reflective thermal insulation coating sample according to claim 1, characterized in that: The sample curing process in step S2 is: s21. Place the test sample in the curing box, close the door of the curing box, and seal the curing box; s22. Adjust the working parameters of the curing box, set the temperature and humidity values, and regularly check the working status of the curing box to see if it is working stably; s23. Real-time monitoring of the maintenance status of the maintenance box; s24. Wait for the curing to be completed, take out the test sample, clean and dry the outer surface of the test sample again to remove moisture.

4. The data detection method for detecting a reflective thermal insulation coating sample according to claim 1, characterized in that: The steps of the xenon lamp aging test in step S3 are: s31. Check the xenon lamp aging tester in advance to ensure normal operation; s32. Place the test sample inside the testing machine and fix it; s33. Adjust the working parameters of the testing machine through the control panel; s34. Start the testing machine and conduct an aging test on the test sample. After the internal temperature reaches the set temperature and humidity, record the temperature.

5. The data detection method for detecting a reflective thermal insulation coating sample according to claim 1, characterized in that: The timing time in step S4 is 2 hours. The automatic temperature measuring device calculates the temperature value of the object based on the principle of infrared radiation. The automatic temperature measuring device is equipped with a built-in sensor to measure the temperature. The temperature of the reference blackboard and the back of the test sample is recorded in real time and uploaded to the computer.

6. The data detection method for detecting a reflective thermal insulation coating sample according to claim 1, characterized in that: In step S5, the computer obtains the recorded value uploaded in step S4 and substitutes it into the calculation formula to calculate the temperature difference between the two plate surfaces; The calculation formula is: ΔT=T0-T s ; Where ΔT is the insulation temperature difference with the reference blackboard, T0 is the average temperature on the back of the reference blackboard, T s In order to detect the average temperature of the back of the sample, multiple experiments were conducted to obtain the final average value, where the average value calculation formula is: Where K is the average value calculated after multiple tests, ΔT1 is the first set of insulation temperature difference data, ΔT2 is the second set of insulation temperature difference data, and ΔT n The nth group of thermal insulation temperature difference data, where n is the number of experiments, the final result is accurate to 0.1 ° C, and the thickness of the dry film of the test plate is reported.

7. The data detection method for detecting a reflective thermal insulation coating sample according to claim 1, characterized in that: In step S64: The formula for solar reflectance is: Where ρ is the solar reflectance of the test board, ρ0(λ) is the spectral reflectance of the standard white board, ρ(λ) is the spectral reflectance of the test board, S λ is the spectral distribution of solar radiation, Δλ is the wavelength interval; The formula for near-infrared reflectance is: where ρ NIR The near-infrared reflectance of the test plate, ρ0(λ) is the spectral reflectance of the standard white plate, ρ(λ) is the spectral reflectance of the test plate, S λ is the spectral distribution of solar radiation, and Δλ is the wavelength interval.

8. The data detection method for detecting a reflective thermal insulation coating sample according to claim 1, characterized in that: In step S7 of s72: place the aluminum plate on an automatic paint sprayer, and the automatic paint sprayer automatically sprays the paint evenly onto the surface of the aluminum plate, applying it twice, with a spraying time interval greater than 7 hours, and a coating thickness of 0.1 mm, to prepare a test plate to be tested.

9. The data detection method for detecting a reflective thermal insulation coating sample according to claim 1, characterized in that: In step S2, the temperature in the curing box is controlled at 21° C.-25° C., the relative humidity is controlled at 45%-55%, and the curing period is seven days.

10. The data detection method for detecting a reflective thermal insulation coating sample according to claim 1, characterized in that: The test parameters of the xenon lamp aging tester in step S3 are set as follows: irradiance at 340nm, wavelength 0.51W / ㎡; The air temperature in the test chamber of the xenon lamp aging tester is controlled within a range of 35°C to 41°C, the humidity is controlled within a range of 50RH% to 60RH%, and the thermometer range of the reference blackboard is controlled within a range of 48°C to 52°C.

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