Heat insulation performance detection process for energy-saving and environment-friendly curtain wall material

Abstract

The invention relates to the technical field of performance detection, in particular to a heat insulation performance detection process for an energy-saving and environment-friendly curtain wall material. Comprising the following steps: S1, cutting a sample; step S2, performing pretreatment; s3, performance testing is carried out; s4, calculating the actual thermal conductivity of the to-be-detected sample according to the actual temperature difference and the heat source condition. According to the invention, the sample area is divided into two types and temperature distribution analysis is carried out to effectively judge the accuracy of the thermal imaging image, and corresponding regulation and control are carried out according to the analysis result, so that the reliability and accuracy of the test are improved, the sample is ensured to be uniformly heated in the test process, local overheating or supercooling is avoided, and the test efficiency is improved. By monitoring a real-time displacement field and environmental parameters, whether jitter or heat flow disturbance exists in the test process can be identified, and the reliability of test data is further ensured; and comparing the calculated actual heat conductivity with a related standard to judge whether the heat insulation performance of the sample meets the requirement or not.

Description

Technical Field

[0001] The present invention relates to the technical field of performance testing, and in particular to a thermal insulation performance testing process for energy-saving and environmentally friendly curtain wall materials. Background Art

[0002] As the global energy crisis and environmental problems become increasingly severe, building energy conservation has become an important issue for sustainable development. As an important part of the building's external envelope, the thermal insulation performance of the curtain wall directly affects the building's energy consumption and indoor environmental comfort. The establishment of a scientific and accurate thermal insulation performance testing process is of great significance for promoting building energy conservation and green development. At present, the thermal insulation performance testing of curtain wall materials mainly adopts the heat flux meter method, hot box method and infrared thermal imaging method. Among them, the heat flux meter method calculates the thermal resistance and heat transfer coefficient by measuring the heat flux density and the temperature difference on both sides of the test piece; the hot box method is to install the test piece in a hot box, simulate the actual use environment, measure the heat flux density and temperature difference, and calculate the heat transfer coefficient; the infrared thermal imaging method uses an infrared thermal imager to measure the surface temperature distribution of the test piece and qualitatively analyze the thermal insulation performance.

[0003] A Chinese patent document with publication number CN117405728A discloses a process for detecting the thermal insulation performance of building curtain wall materials, which is implemented by a device for detecting the thermal insulation performance of building curtain wall materials. The device for detecting the thermal insulation performance of building curtain wall materials includes a box body, a moving component for providing power to the device is arranged inside the box body, a detection component for detecting the thermal insulation performance of the material is also arranged inside the box body, and a cleaning component for cleaning the surface of the material is arranged inside the box body. The support block is driven to move by the movement of the lower clamping plate, and the second connecting block is driven to move. The second connecting block drives the second long swing rod to swing through the pin shaft, and the piston rod is driven to slide inside the piston cylinder through the swing of the swing leaf, and the hot air generated by the heating block is sprayed onto the surface of the material through the through hole inside the jet rod, and the surface of the material is detected at a fixed point. It can be seen that the existing method is difficult to simulate the actual complex high-temperature environment and it is difficult to accurately reflect the thermal insulation performance of the material in actual application. Summary of the invention

[0004] To this end, the present invention provides a thermal insulation performance testing process for energy-saving and environmentally friendly curtain wall materials, so as to overcome the problem in the prior art of inaccurate test results due to the lack of precise monitoring of temperature difference fluctuations in the sample area.

[0005] To achieve the above object, the present invention provides a thermal insulation performance testing process for energy-saving and environmentally friendly curtain wall materials, comprising:

[0006] Step S1, sample cutting, taking a sample of the energy-saving and environmentally friendly curtain wall material to be tested, cutting the sample of the energy-saving and environmentally friendly curtain wall material into a preset size to obtain a sample to be processed;

[0007] Step S2, pretreatment, cleaning and removing impurities from the surface of the sample to be treated to obtain a sample to be tested, and preheating the sample to be tested under a standard environment to obtain a sample to be tested;

[0008] Step S3, performance test, taking an image of the sample to be tested by a thermal imaging camera to obtain a first thermal imaging image and a second thermal imaging image, calculating a maximum temperature difference according to the first thermal imaging image and the second thermal imaging image, determining whether the acquired thermal imaging image is accurate based on the maximum temperature difference, and when it is determined that the acquired thermal imaging image is inaccurate, determining whether to adjust the first standard thermal insulation temperature difference based on the real-time displacement field and environmental parameters;

[0009] The first thermal imaging image is a thermal imaging image of the heating side, and the second thermal imaging image is a thermal imaging image of the cooling side;

[0010] Step S4, when it is determined that the acquired thermal imaging image is accurate and the temperature difference between the two sides of the sample to be detected is not obvious, the actual thermal conductivity of the sample to be detected is calculated according to the actual temperature difference and the heat source conditions.

[0011] Further, determining whether the acquired thermal imaging image accurately includes based on the maximum temperature difference,

[0012] Step S3001, obtaining a first unit temperature difference and a second unit temperature difference corresponding to a unit area of ​​a sample to be detected;

[0013] Step S3002, calculating a first maximum temperature difference of the sample to be detected according to the temperature differences of each of the first units, and calculating a second maximum temperature difference of the sample to be detected according to the temperature differences of each of the second units;

[0014] Step S3003, comparing the maximum temperature difference with the corresponding standard insulation temperature difference, and determining whether the temperature distribution of the entire sample is uniform according to the comparison result;

[0015] Step S3004, when it is determined that the temperature distribution of the entire sample is uneven, the type of the corresponding sample area is analyzed, and whether the acquired thermal imaging image is accurate is determined according to the analysis result;

[0016] Among them, the maximum temperature difference includes a first maximum temperature difference and a second maximum temperature difference. The first maximum temperature difference corresponds to a first standard insulation temperature difference, and the second maximum temperature difference corresponds to a second standard insulation temperature difference. When the maximum temperature difference is less than or equal to the corresponding standard insulation temperature difference, it is judged that the temperature distribution of the entire sample is uniform. When the maximum temperature difference is greater than the corresponding standard insulation temperature difference, it is judged that the temperature distribution of the entire sample is uneven.

[0017] Further, the types of sample areas corresponding to the analysis include,

[0018] Divide the sample to be tested into multiple areas, and mark the type of each area, including type I unit area and type II unit area;

[0019] When it is determined that the corresponding sample region is a type of unit region, a first analysis result is obtained;

[0020] When it is determined that the corresponding sample areas are all second-type unit areas, a second analysis result is obtained;

[0021] Among them, the first type of unit area is a homogeneous material area, and the second type of unit area is a composite material area.

[0022] Further, it is determined based on the analysis results whether the acquired thermal imaging image accurately includes,

[0023] When the first analysis result is obtained, it is determined that the acquired thermal imaging image is inaccurate;

[0024] When the second analysis result is obtained, it is determined that the acquired thermal imaging image is accurate.

[0025] Further, determining whether to adjust the first standard insulation temperature difference based on the real-time displacement field and the environmental parameters includes:

[0026] Obtain the average temperature difference value on both sides corresponding to any detection point of the sample to be detected, and determine the average temperature difference value according to the standard temperature difference value.

[0027] If the average temperature difference value is less than the standard temperature difference value, it is determined that the temperature difference on both sides of the sample to be tested is not obvious;

[0028] If the average temperature difference value is greater than or equal to the standard temperature difference value, determine whether there is a jitter phenomenon based on the real-time displacement field;

[0029] When it is determined that there is a jitter phenomenon, determining whether there is a heat flow disturbance based on the environmental parameters, and when there is a heat flow disturbance, adjusting the first standard insulation temperature difference;

[0030] Among them, the first standard insulation temperature difference is adjusted to 1.5°C.

[0031] Further, determining whether there is a jitter phenomenon based on the real-time displacement field includes:

[0032] Acquire continuous thermal imaging sequences;

[0033] Each frame in the recorded continuous thermal imaging sequence is converted into a grayscale image;

[0034] Calculate the displacement field of the current frame and the previous frame as the real-time displacement field, and compare the difference between the real-time displacement field and the standard displacement field.

[0035] When the real-time displacement field is less than or equal to the standard displacement field difference, it is determined that there is no jitter phenomenon and on-site inspection and processing are carried out;

[0036] When the real-time displacement field is greater than the standard displacement field difference, it is determined that jitter exists.

[0037] Further, determining whether there is a heat flow disturbance based on the environmental parameters includes,

[0038] Real-time monitoring of ambient temperature, ambient humidity and airflow characteristics;

[0039] When it is determined that the fluctuations of the ambient temperature, ambient humidity and airflow characteristics exceed corresponding thresholds, it is determined that there is a thermal flow disturbance;

[0040] When it is determined that the fluctuations of the ambient temperature, ambient humidity, and airflow characteristics are all within the corresponding threshold ranges, it is determined that there is no thermal flow disturbance;

[0041] Among them, the air flow characteristics include the flow rate and direction of the gas.

[0042] Further, calculating the first maximum temperature difference of the sample to be detected according to the temperature difference of each unit includes:

[0043] Step S3112, obtaining an actual difference between the temperature on the heating side and the temperature on the cooling side of a type of unit area to obtain a first unit temperature difference;

[0044] Step S3122, adding the first unit temperature differences and dividing by the number of unit regions to obtain a first average temperature difference;

[0045] Step S3132, subtracting the first average temperature difference from the temperature difference of each first unit to obtain a plurality of first temperature fluctuation values;

[0046] Step S3142, taking the absolute value of each first temperature fluctuation value, selecting the value with the largest absolute value, and obtaining the first maximum temperature difference.

[0047] Further, calculating the second maximum temperature difference of the sample to be detected according to the temperature difference of each of the second units includes:

[0048] Step S3212, obtaining the actual difference between the temperature of the heating side and the temperature of the cooling side corresponding to each detection point in the second type unit area, and obtaining the second unit temperature difference;

[0049] Step S3222, adding the second unit temperature differences and dividing by the number of detection points to obtain a second average temperature difference of the second type of unit area;

[0050] Step S3232, subtracting the second average temperature difference from the temperature difference of each second unit to obtain a plurality of second temperature fluctuation values;

[0051] Step S3242, taking the absolute value of each second temperature fluctuation value, selecting the value with the largest absolute value, and obtaining the corresponding second maximum temperature difference.

[0052] Further, calculating the actual thermal conductivity of the sample to be tested according to the actual temperature difference and the heat source conditions includes:

[0053]

[0054] Where γ is the actual thermal conductivity, Q is the heat applied by the heat source, d is the thickness of the sample m, A is the cross-sectional area of ​​the sample, Thot is the average temperature on the heating side, and Tcold is the average temperature on the cooling side.

[0055] Compared with the prior art, the beneficial effect of the present invention lies in that the thermal imaging images of the heating side and the cooling side are obtained by a thermal imaging camera, and the maximum temperature difference is calculated to accurately judge the uniformity of the sample temperature distribution. By dividing the sample area and analyzing the temperature difference, the temperature fluctuation caused by uneven material composition or abnormal test environment can be effectively identified, thereby improving the accuracy of the test results, that is, by dividing the sample area into two categories and performing temperature distribution analysis to effectively judge the accuracy of the thermal imaging image, and making corresponding adjustments based on the analysis results, thereby improving the reliability and accuracy of the test, ensuring that the sample is evenly heated during the test process to avoid local overheating or overcooling, and by monitoring the real-time displacement field and environmental parameters, it can be identified whether there is jitter or heat flow disturbance during the test process, further ensuring the reliability of the test data; by comparing the calculated actual thermal conductivity with the relevant standards, it can be judged whether the thermal insulation performance of the sample meets the requirements.

[0056] Furthermore, the sample to be tested is divided into several areas by grid to analyze whether the sample is heated evenly during the heating process. Since the material heterogeneity inside the sample may cause changes in the heat conduction characteristics, the type of area heated unevenly is analyzed to determine whether the uneven temperature distribution of the sample is normal. That is, if it is determined that there is a significant fluctuation in the temperature of any area, and it is not an area where the temperature distribution is inevitably caused by different material compositions, it means that the temperature fluctuation is abnormal, that is, the acquired thermal imaging image is not accurate. BRIEF DESCRIPTION OF THE DRAWINGS

[0057] Figure 1 It is a schematic diagram of the process flow of the thermal insulation performance testing process for energy-saving and environmentally friendly curtain wall materials according to an embodiment of the present invention;

[0058] Figure 2 A schematic diagram of a process for determining whether an acquired thermal imaging image is accurately included based on a maximum temperature difference according to an embodiment of the present invention;

[0059] Figure 3It is a schematic diagram of a flow chart of calculating the first maximum temperature difference of a sample to be detected according to the temperature difference of each unit according to an embodiment of the present invention;

[0060] Figure 4 It is a schematic diagram of a flow chart of calculating the second maximum temperature difference of a sample to be detected according to the temperature difference of each of the second units according to an embodiment of the present invention. DETAILED DESCRIPTION

[0061] In order to make the objects and advantages of the present invention more clearly understood, the present invention is further described below in conjunction with embodiments; it should be understood that the specific embodiments described herein are only used to explain the present invention and are not used to limit the present invention.

[0062] The preferred embodiments of the present invention are described below with reference to the accompanying drawings. It should be understood by those skilled in the art that these embodiments are only used to explain the technical principles of the present invention and are not intended to limit the protection scope of the present invention.

[0063] It should be noted that, in the description of the present invention, terms such as "up", "down", "left", "right", "inside" and "outside" indicating directions or positional relationships are based on the directions or positional relationships shown in the drawings. This is merely for the convenience of description and does not indicate or imply that the device or element must have a specific orientation, be constructed and operated in a specific orientation. Therefore, it cannot be understood as a limitation on the present invention.

[0064] In addition, it should be noted that in the description of the present invention, unless otherwise clearly specified and limited, the terms "installed", "connected", and "connected" should be understood in a broad sense, for example, it can be a fixed connection, a detachable connection, or an integral connection; it can be a mechanical connection or an electrical connection; it can be a direct connection, or it can be indirectly connected through an intermediate medium, or it can be the internal communication of two components. For those skilled in the art, the specific meanings of the above terms in the present invention can be understood according to specific circumstances.

[0065] See also Figure 1 As shown, it is a schematic diagram of a process for detecting the thermal insulation performance of energy-saving and environmentally friendly curtain wall materials according to an embodiment of the present invention. The present invention provides a process for detecting the thermal insulation performance of energy-saving and environmentally friendly curtain wall materials, comprising:

[0066] Step S1, sample cutting, taking a sample of the energy-saving and environmentally friendly curtain wall material to be tested, cutting the sample of the energy-saving and environmentally friendly curtain wall material into a preset size to obtain a sample to be processed;

[0067] Step S2, pretreatment, cleaning and removing impurities from the surface of the sample to be treated to obtain a sample to be tested, and preheating the sample to be tested under a standard environment to obtain a sample to be tested;

[0068] Step S3, performance test, taking an image of the sample to be tested by a thermal imaging camera to obtain a first thermal imaging image and a second thermal imaging image, calculating a maximum temperature difference according to the first thermal imaging image and the second thermal imaging image, determining whether the acquired thermal imaging image is accurate based on the maximum temperature difference, and when it is determined that the acquired thermal imaging image is inaccurate, determining whether to adjust the first standard thermal insulation temperature difference based on the real-time displacement field and environmental parameters;

[0069] The first thermal imaging image is a thermal imaging image of the heating side, and the second thermal imaging image is a thermal imaging image of the cooling side;

[0070] Step S4, when it is determined that the acquired thermal imaging image is accurate and the temperature difference between the two sides of the sample to be detected is not obvious, the actual thermal conductivity of the sample to be detected is calculated according to the actual temperature difference and the heat source conditions, including:

[0071]

[0072] Where γ is the actual thermal conductivity, Q is the heat applied by the heat source, d is the thickness of the sample m, A is the cross-sectional area of ​​the sample, Thot is the average temperature on the heating side, and Tcold is the average temperature on the cooling side.

[0073] Among them, the unit of Q is W, the unit of d is m, and the unit of A is m 2 , the unit of Thot is ℃, and the unit of Tcold is ℃.

[0074] The standard environment in this embodiment includes standard preheating temperature, standard preheating humidity and standard preheating time. The standard preheating time is between 1 hour and 4 hours, preferably 2 hours. The standard preheating time is proportional to the thickness and heat capacity of the material. The standard preheating temperature is 20°C to 25°C, and the standard preheating humidity is 40% to 60%; the standard size is 100mm×100mm; the sample is preheated using a preset device, and the sample to be tested is placed in the preheating device to ensure good contact between the sample and the device. The device is started to start the preheating process. During the preheating process, the time when the preheating starts is recorded, and the device status is continuously monitored to ensure the normal operation of the device. After the preheating time is reached, the preheating device is turned off, and the sample is carefully removed from the device to avoid damage to the sample. Finally, check whether the sample has reached a stable state to ensure that it is suitable for subsequent thermal insulation performance tests. The preheating device is a forced ventilation drying oven, and its model is Memmert UNB 400.

[0075] The thermal imaging images of the heating side and the cooling side are obtained by a thermal imaging camera, and the maximum temperature difference is calculated to accurately determine the uniformity of the sample temperature distribution. By dividing the sample area and analyzing the temperature difference, the temperature fluctuation caused by uneven material composition or abnormal test environment can be effectively identified, thereby improving the accuracy of the test results. That is, by dividing the sample area into two categories and performing temperature distribution analysis, the accuracy of the thermal imaging image can be effectively determined, and corresponding adjustments can be made according to the analysis results, thereby improving the reliability and accuracy of the test, ensuring that the sample is evenly heated during the test and avoiding local overheating or overcooling. By monitoring the real-time displacement field and environmental parameters, it can be identified whether there is jitter or heat flow disturbance during the test, further ensuring the reliability of the test data; by comparing the calculated actual thermal conductivity with the relevant standards, it can be determined whether the thermal insulation performance of the sample meets the requirements.

[0076] See also Figure 2 As shown, it is a schematic diagram of a process of determining whether the acquired thermal imaging image is accurately included based on the maximum temperature difference according to an embodiment of the present invention;

[0077] Specifically, determining whether the acquired thermal imaging image is accurate based on the maximum temperature difference includes:

[0078] Step S3001, obtaining a first unit temperature difference and a second unit temperature difference corresponding to a unit area of ​​a sample to be detected;

[0079] Step S3002, calculating a first maximum temperature difference of the sample to be detected according to the temperature differences of each of the first units, and calculating a second maximum temperature difference of the sample to be detected according to the temperature differences of each of the second units;

[0080] Step S3003, comparing the maximum temperature difference with the corresponding standard insulation temperature difference, and determining whether the temperature distribution of the entire sample is uniform according to the comparison result;

[0081] Step S3004, when it is determined that the temperature distribution of the entire sample is uneven, the type of the corresponding sample area is analyzed, and whether the acquired thermal imaging image is accurate is determined according to the analysis result;

[0082] Among them, the maximum temperature difference includes a first maximum temperature difference and a second maximum temperature difference. The first maximum temperature difference corresponds to a first standard insulation temperature difference, and the second maximum temperature difference corresponds to a second standard insulation temperature difference. When the maximum temperature difference is less than or equal to the corresponding standard insulation temperature difference, it is judged that the temperature distribution of the entire sample is uniform. When the maximum temperature difference is greater than the corresponding standard insulation temperature difference, it is judged that the temperature distribution of the entire sample is uneven.

[0083] The first standard insulation temperature difference set in this embodiment is used to determine whether the temperature distribution in the homogeneous material area is uniform, and the first standard insulation temperature difference is set to 2°C. The second standard insulation temperature difference is set to determine the unevenness of the temperature distribution caused by different material compositions, and the second standard insulation temperature difference is set to 5°C.

[0084] The sample to be tested is divided into several areas to analyze whether the sample is heated evenly during the heating process. Since the material heterogeneity inside the sample may cause changes in the heat conduction characteristics, the type of area that is heated unevenly is analyzed to determine whether the uneven temperature distribution of the sample is normal. That is, if the temperature of any area has obvious fluctuations and it is not an area where the temperature distribution is inevitably caused by different material compositions, it means that the temperature fluctuation is abnormal, that is, the acquired thermal imaging image is not accurate.

[0085] Specifically, the types of sample areas analyzed include:

[0086] Divide the sample to be tested into multiple areas, and mark the type of each area, including type I unit area and type II unit area;

[0087] When it is determined that the corresponding sample region is a type of unit region, a first analysis result is obtained;

[0088] When it is determined that the corresponding sample areas are all second-type unit areas, a second analysis result is obtained;

[0089] Among them, the first type of unit area is a homogeneous material area, and the second type of unit area is a composite material area.

[0090] The uneven composition or density of the sample leads to differences in thermal conductivity in different areas, resulting in uneven thermal insulation performance. Therefore, the areas of the sample to be tested are divided into types, that is, the normality of the temperature distribution is judged by dividing the sample areas into two categories, which effectively judges the accuracy of the thermal imaging image.

[0091] Specifically, the accuracy of the acquired thermal imaging images is determined based on the analysis results, including:

[0092] When the first analysis result is obtained, it is determined that the acquired thermal imaging image is inaccurate;

[0093] When the second analysis result is obtained, it is determined that the acquired thermal imaging image is accurate.

[0094] Specifically, determining whether to adjust the first standard insulation temperature difference based on the real-time displacement field and the environmental parameters includes:

[0095] Obtain the average temperature difference value on both sides corresponding to any detection point of the sample to be detected, and determine the average temperature difference value according to the standard temperature difference value.

[0096] If the average temperature difference value is less than the standard temperature difference value, it is determined that the temperature difference on both sides of the sample to be tested is not obvious;

[0097] If the average temperature difference value is greater than or equal to the standard temperature difference value, determine whether there is a jitter phenomenon based on the real-time displacement field;

[0098] When it is determined that there is a jitter phenomenon, determining whether there is a heat flow disturbance based on the environmental parameters, and when there is a heat flow disturbance, adjusting the first standard insulation temperature difference;

[0099] Among them, the first standard insulation temperature difference is adjusted to 1.5°C.

[0100] Specifically, judging whether there is a jitter phenomenon based on the real-time displacement field includes:

[0101] Acquire continuous thermal imaging sequences;

[0102] Each frame in the recorded continuous thermal imaging sequence is converted into a grayscale image;

[0103] Calculate the displacement field of the current frame and the previous frame as the real-time displacement field, and compare the difference between the real-time displacement field and the standard displacement field.

[0104] When the real-time displacement field is less than or equal to the standard displacement field difference, it is determined that there is no jitter phenomenon and on-site inspection and processing are carried out;

[0105] When the real-time displacement field is greater than the standard displacement field difference, it is determined that jitter exists.

[0106] In this embodiment, the standard displacement field difference is set to 0.5 pixels. By analyzing the fluctuation of the displacement field, a preliminary check is performed to check whether there is a "drifting" phenomenon. That is, when it is determined that the real-time displacement field is greater than the standard displacement field difference and the environmental parameters fluctuate, it indicates that there is a "drifting" phenomenon. This is because the ambient temperature is too high, and the thermal radiation in the visible light band generated by the sample is brighter than the white compensation light source, causing the image feature points to be "decorrelated", making it impossible to match and calculate, resulting in image distortion. In this case, the set temperature threshold is adaptively adjusted to increase the system's sensitivity to temperature changes.

[0107] Specifically, determining whether there is a heat flow disturbance based on environmental parameters includes:

[0108] Real-time monitoring of ambient temperature, ambient humidity and airflow characteristics;

[0109] When it is determined that the fluctuations of the ambient temperature, ambient humidity and airflow characteristics exceed corresponding thresholds, it is determined that there is a thermal flow disturbance;

[0110] When it is determined that the fluctuations of the ambient temperature, ambient humidity, and airflow characteristics are all within the corresponding threshold ranges, it is determined that there is no thermal flow disturbance;

[0111] Among them, the air flow characteristics include the flow rate and direction of the gas.

[0112] See also Figure 3 As shown, it is a schematic diagram of a flow chart of calculating the first maximum temperature difference of the sample to be detected according to the temperature difference of each unit according to an embodiment of the present invention;

[0113] Specifically, calculating the first maximum temperature difference of the sample to be detected according to the temperature difference of each unit includes:

[0114] Step S3112, obtaining an actual difference between the temperature on the heating side and the temperature on the cooling side of a type of unit area to obtain a first unit temperature difference;

[0115] Step S3122, adding the first unit temperature differences and dividing by the number of unit regions to obtain a first average temperature difference;

[0116] Step S3132, subtracting the first average temperature difference from the temperature difference of each first unit to obtain a plurality of first temperature fluctuation values;

[0117] Step S3142, taking the absolute value of each first temperature fluctuation value, selecting the value with the largest absolute value, and obtaining the first maximum temperature difference.

[0118] See also Figure 4 As shown, it is a schematic diagram of a flow chart of calculating the second maximum temperature difference of the sample to be detected according to the temperature difference of each of the second units according to an embodiment of the present invention;

[0119] Specifically, calculating the second maximum temperature difference of the sample to be detected according to the temperature difference of each of the second units includes:

[0120] Step S3212, obtaining the actual difference between the temperature of the heating side and the temperature of the cooling side corresponding to each detection point in the second type unit area, and obtaining the second unit temperature difference;

[0121] Step S3222, adding the second unit temperature differences and dividing by the number of detection points to obtain a second average temperature difference of the second type of unit area;

[0122] Step S3232, subtracting the second average temperature difference from the temperature difference of each second unit to obtain a plurality of second temperature fluctuation values;

[0123] Step S3242, taking the absolute value of each second temperature fluctuation value, selecting the value with the largest absolute value, and obtaining the corresponding second maximum temperature difference.

[0124] So far, the technical solutions of the present invention have been described in conjunction with the preferred embodiments shown in the accompanying drawings. However, it is easy for those skilled in the art to understand that the protection scope of the present invention is obviously not limited to these specific embodiments. Without departing from the principle of the present invention, those skilled in the art can make equivalent changes or substitutions to the relevant technical features, and the technical solutions after these changes or substitutions will fall within the protection scope of the present invention.

[0125] The above description is only a preferred embodiment of the present invention and is not intended to limit the present invention. For those skilled in the art, the present invention may have various modifications and variations. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present invention shall be included in the protection scope of the present invention.

Claims

1. A thermal insulation performance testing process for energy-saving and environmentally friendly curtain wall materials, characterized in that: include, Step S1, sample cutting, taking a sample of the energy-saving and environmentally friendly curtain wall material to be tested, cutting the sample of the energy-saving and environmentally friendly curtain wall material into a preset size to obtain a sample to be processed; Step S2, pretreatment, cleaning and removing impurities from the surface of the sample to be treated to obtain a sample to be tested, and preheating the sample to be tested under a standard environment to obtain a sample to be tested; Step S3, performance test, taking an image of the sample to be tested by a thermal imaging camera to obtain a first thermal imaging image and a second thermal imaging image, calculating a maximum temperature difference according to the first thermal imaging image and the second thermal imaging image, determining whether the acquired thermal imaging image is accurate based on the maximum temperature difference, and when it is determined that the acquired thermal imaging image is inaccurate, determining whether to adjust the first standard thermal insulation temperature difference based on the real-time displacement field and environmental parameters; The first thermal imaging image is a thermal imaging image of the heating side, and the second thermal imaging image is a thermal imaging image of the cooling side; Step S4, when it is determined that the acquired thermal imaging image is accurate and the temperature difference between the two sides of the sample to be detected is not obvious, the actual thermal conductivity of the sample to be detected is calculated according to the actual temperature difference and the heat source conditions.

2. The thermal insulation performance testing process for energy-saving and environmentally friendly curtain wall materials according to claim 1 is characterized in that: Determine whether the acquired thermal imaging image is accurate based on the maximum temperature difference, Step S3001, obtaining a first unit temperature difference and a second unit temperature difference corresponding to a unit area of ​​a sample to be detected; Step S3002, calculating a first maximum temperature difference of the sample to be detected according to the temperature differences of each of the first units, and calculating a second maximum temperature difference of the sample to be detected according to the temperature differences of each of the second units; Step S3003, comparing the maximum temperature difference with the corresponding standard insulation temperature difference, and determining whether the temperature distribution of the entire sample is uniform according to the comparison result; Step S3004, when it is determined that the temperature distribution of the entire sample is uneven, the type of the corresponding sample area is analyzed, and whether the acquired thermal imaging image is accurate is determined according to the analysis result; Among them, the maximum temperature difference includes a first maximum temperature difference and a second maximum temperature difference. The first maximum temperature difference corresponds to a first standard insulation temperature difference, and the second maximum temperature difference corresponds to a second standard insulation temperature difference. When the maximum temperature difference is less than or equal to the corresponding standard insulation temperature difference, it is judged that the temperature distribution of the entire sample is uniform. When the maximum temperature difference is greater than the corresponding standard insulation temperature difference, it is judged that the temperature distribution of the entire sample is uneven.

3. The thermal insulation performance testing process for energy-saving and environmentally friendly curtain wall materials according to claim 2 is characterized in that: The types of sample areas analyzed include: Divide the sample to be tested into multiple areas, and mark the type of each area, including type I unit area and type II unit area; When it is determined that the corresponding sample region is a type of unit region, a first analysis result is obtained; When it is determined that the corresponding sample areas are all second-type unit areas, a second analysis result is obtained; Among them, the first type of unit area is a homogeneous material area, and the second type of unit area is a composite material area.

4. The thermal insulation performance testing process for energy-saving and environmentally friendly curtain wall materials according to claim 2 is characterized in that: Determine whether the acquired thermal imaging image is accurate based on the analysis results, including: When the first analysis result is obtained, it is determined that the acquired thermal imaging image is inaccurate; When the second analysis result is obtained, it is determined that the acquired thermal imaging image is accurate.

5. The thermal insulation performance testing process for energy-saving and environmentally friendly curtain wall materials according to claim 1 is characterized in that: Determining whether to adjust the first standard insulation temperature difference based on the real-time displacement field and the environmental parameters includes: Obtain the average temperature difference value on both sides corresponding to any detection point of the sample to be detected, and determine the average temperature difference value according to the standard temperature difference value. If the average temperature difference value is less than the standard temperature difference value, it is determined that the temperature difference on both sides of the sample to be tested is not obvious; If the average temperature difference value is greater than or equal to the standard temperature difference value, determine whether there is a jitter phenomenon based on the real-time displacement field; When it is determined that there is a jitter phenomenon, determining whether there is a heat flow disturbance based on the environmental parameters, and when there is a heat flow disturbance, adjusting the first standard insulation temperature difference; Among them, the first standard insulation temperature difference is adjusted to 1.5°C.

6. The thermal insulation performance testing process for energy-saving and environmentally friendly curtain wall materials according to claim 5 is characterized in that: Judging whether there is jitter based on the real-time displacement field includes: Acquire continuous thermal imaging sequences; Each frame in the recorded continuous thermal imaging sequence is converted into a grayscale image; Calculate the displacement field of the current frame and the previous frame as the real-time displacement field, and compare the difference between the real-time displacement field and the standard displacement field. When the real-time displacement field is less than or equal to the standard displacement field difference, it is determined that there is no jitter phenomenon and on-site inspection and processing are carried out; When the real-time displacement field is greater than the standard displacement field difference, it is determined that jitter exists.

7. The thermal insulation performance testing process for energy-saving and environmentally friendly curtain wall materials according to claim 6 is characterized in that: Determining whether there is a heat flow disturbance based on environmental parameters includes, Real-time monitoring of ambient temperature, ambient humidity and airflow characteristics; When it is determined that the fluctuations of the ambient temperature, ambient humidity and airflow characteristics exceed corresponding thresholds, it is determined that there is a thermal flow disturbance; When it is determined that the fluctuations of the ambient temperature, ambient humidity, and airflow characteristics are all within the corresponding threshold ranges, it is determined that there is no thermal flow disturbance; Among them, the air flow characteristics include the flow rate and direction of the gas.

8. The thermal insulation performance testing process for energy-saving and environmentally friendly curtain wall materials according to claim 2 is characterized in that: Calculating the first maximum temperature difference of the sample to be detected according to the temperature difference of each unit includes: Step S3112, obtaining an actual difference between the temperature on the heating side and the temperature on the cooling side of a type of unit area to obtain a first unit temperature difference; Step S3122, adding the first unit temperature differences and dividing by the number of unit regions to obtain a first average temperature difference; Step S3132, subtracting the first average temperature difference from the temperature difference of each first unit to obtain a plurality of first temperature fluctuation values; Step S3142, taking the absolute value of each first temperature fluctuation value, selecting the value with the largest absolute value, and obtaining the first maximum temperature difference.

9. The thermal insulation performance testing process for energy-saving and environmentally friendly curtain wall materials according to claim 2 is characterized in that: Calculating the second maximum temperature difference of the sample to be detected according to the temperature differences of each of the second units comprises: Step S3212, obtaining the actual difference between the temperature of the heating side and the temperature of the cooling side corresponding to each detection point in the second type unit area, and obtaining the second unit temperature difference; Step S3222, adding the second unit temperature differences and dividing by the number of detection points to obtain a second average temperature difference of the second type of unit area; Step S3232, subtracting the second average temperature difference from the temperature difference of each second unit to obtain a plurality of second temperature fluctuation values; Step S3242, taking the absolute value of each second temperature fluctuation value, selecting the value with the largest absolute value, and obtaining the corresponding second maximum temperature difference.

10. The thermal insulation performance testing process for energy-saving and environmentally friendly curtain wall materials according to claim 1, characterized in that: Calculate the actual thermal conductivity of the sample to be tested based on the actual temperature difference and heat source conditions, including: Where γ is the actual thermal conductivity, Q is the heat applied by the heat source, d is the thickness of the sample m, A is the cross-sectional area of ​​the sample, Thot is the average temperature on the heating side, and Tcold is the average temperature on the cooling side.

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