A heat insulation performance detection process for energy-saving and environmental protection curtain wall materials

Abstract

The present invention relates to the technical field of performance detection, and particularly to a heat insulation performance detection process for energy-saving and environmental protection curtain wall materials. It includes step S1, sample cutting; step S2, pretreatment; step S3, performance testing; and step S4, calculating the actual thermal conductivity of the sample to be detected according to the actual temperature difference and heat source conditions. By dividing the sample area into two categories and analyzing the temperature distribution, the present invention can effectively judge the accuracy of the thermal imaging image, and perform corresponding regulation according to the analysis results, thereby improving the reliability and accuracy of the test, ensuring that the sample is evenly heated during the test, avoiding local overheating or overcooling. Through the monitoring of the real-time displacement field and environmental parameters, it can identify 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 relevant standards, it can judge whether the heat insulation performance of the sample meets the requirements.

Description

Technical Field

[0001] The present invention relates to the technical field of performance detection, and particularly to a heat insulation performance detection process for energy-saving and environmental protection curtain wall materials. Background Art

[0002] With the increasingly severe global energy crisis and environmental problems, building energy conservation has become an important issue for sustainable development. As an important part of the building's exterior envelope structure, the heat insulation performance of the curtain wall directly affects building energy consumption and indoor environmental comfort. Establishing a scientific and accurate heat insulation performance detection process is of great significance for promoting building energy conservation and green development. Currently, the heat insulation performance detection of curtain wall materials mainly adopts the heat flow meter method, the hot box method, and the infrared thermal imaging method. Among them, the heat flow meter method calculates the thermal resistance and heat transfer coefficient by measuring the heat flux density passing through the specimen and the temperature difference on both sides; the hot box method installs the specimen in the hot box, simulates the actual use environment, measures the heat flux density and temperature difference, and calculates the heat transfer coefficient; the infrared thermal imaging method uses an infrared thermal imager to measure the surface temperature distribution of the specimen and qualitatively analyzes the heat insulation performance.

[0003] Chinese patent document with publication number CN117405728A discloses a heat preservation performance detection process for building curtain wall materials, which is realized through a heat preservation performance detection device for building curtain wall materials. The heat preservation performance detection device for building curtain wall materials includes a box body. Inside the box body, there is a motion component for providing power for this device, and there is also a detection component for detecting the heat preservation performance of the material. Inside the box body, there is a cleaning component for cleaning the surface of the material. By the movement of the lower clamping plate, the support block is driven to move, the second connecting block is driven to move, and the second connecting block drives the second long swing rod to swing through a pin shaft. By the swing of the swing leaf, the piston rod is driven to slide inside the piston cylinder, 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 to perform fixed-point detection on the surface of the material. It can be seen that the existing methods are difficult to simulate the actual complex high-temperature environment and are difficult to accurately reflect the heat insulation performance of the material in actual applications. Summary of the Invention

[0004] For this reason, the present invention provides a heat insulation performance detection process for energy-saving and environmental protection curtain wall materials to overcome the problem in the prior art that the detection results are inaccurate due to the lack of precise monitoring of the temperature difference fluctuation in the sample area.

[0005] To achieve the above object, the present invention provides a heat insulation performance detection process for energy-saving and environmental protection curtain wall materials, including,

[0006] Step S1, sample cutting: Take a sample of the energy-saving and environmental protection curtain wall material to be detected, and cut the sample of the energy-saving and environmental protection curtain wall material to a preset size to obtain a sample to be processed;

[0007] Step S2, preprocessing: Clean and remove impurities from the surface of the sample to be processed to obtain the sample to be tested, and preheat the sample to be tested under standard conditions to obtain the sample to be detected;

[0008] Step S3, performance testing: Use a thermal imaging camera to take images of the sample to be detected to obtain a first thermal imaging image and a second thermal imaging image, calculate the maximum temperature difference based on the first thermal imaging image and the second thermal imaging image, and determine whether the obtained thermal imaging image is accurate based on the maximum temperature difference. When it is determined that the obtained thermal imaging image is inaccurate, determine whether to adjust the first standard insulation temperature difference based on the real-time displacement field and environmental parameters;

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

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

[0011] Further, determining whether the obtained thermal imaging image is accurate based on the maximum temperature difference includes,

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

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

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

[0015] Step S3004, when it is determined that the overall temperature distribution of the sample is not uniform, analyze the type of the corresponding sample area, and determine whether the obtained thermal imaging image is accurate according to the analysis result;

[0016] Among them, the maximum temperature difference includes the first maximum temperature difference and the second maximum temperature difference. The first maximum temperature difference corresponds to the first standard insulation temperature difference, and the second maximum temperature difference corresponds to the second standard insulation temperature difference. When the maximum temperature difference is less than or equal to the corresponding standard insulation temperature difference, it is determined that the overall temperature distribution of the sample is uniform. When the maximum temperature difference is greater than the corresponding standard insulation temperature difference, it is determined that the overall temperature distribution of the sample is not uniform.

[0017] Further, analyzing the type of the corresponding sample area includes,

[0018] Divide the sample to be detected into multiple regions and mark the type of each region, including type-I unit regions and type-II unit regions;

[0019] When it is determined that there is a corresponding sample region as a type-I unit region, obtain the first analysis result;

[0020] When it is determined that all corresponding sample regions are type-II unit regions, obtain the second analysis result;

[0021] Among them, the type-I unit region is a homogeneous material region, and the type-II unit region is a composite material region.

[0022] Further, determining whether the obtained thermal imaging image is accurate based on the analysis result includes,

[0023] When obtaining the first analysis result, determine that the obtained thermal imaging image is inaccurate;

[0024] When obtaining the second analysis result, determine that the obtained thermal imaging image is accurate.

[0025] Further, determining whether to adjust the first standard heat insulation temperature difference based on the real-time displacement field and 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, determine that the temperature difference on both sides of the sample to be detected 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, determine whether there is a heat flux disturbance based on the environmental parameters, and when there is a heat flux disturbance, adjust the first standard heat insulation temperature difference;

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

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

[0032] Obtain a continuous thermal imaging sequence;

[0033] Record each frame in the continuous thermal imaging sequence and convert it into a grayscale image;

[0034] Calculate the displacement field between 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 there is a jitter phenomenon.

[0037] Furthermore, determining whether there is heat flux disturbance based on environmental parameters includes,

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

[0039] When it is determined that the fluctuations of environmental temperature, environmental humidity, and airflow characteristics exceed the corresponding thresholds, it is determined that there is heat flux disturbance;

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

[0041] Among them, the airflow characteristics include the flow velocity and direction of the gas.

[0042] Furthermore, calculating the first maximum temperature difference of the sample to be detected according to the temperature differences of each of the said units includes,

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

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

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

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

[0047] Furthermore, calculating the second maximum temperature difference of the sample to be detected according to the temperature differences of each of the said second units includes,

[0048] Step S3212, obtaining the actual difference between the temperature on the heating side and the temperature on the cooling side corresponding to each detection point within a class of unit areas to obtain the second unit temperature difference;

[0049] Step S3222, adding the second unit temperature differences and then dividing by the number of detection points to obtain the second average temperature difference of this class of unit areas;

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

[0051] Step S3242: Take the absolute value of each second temperature fluctuation value, select the value with the largest absolute value, and obtain the corresponding second maximum temperature difference.

[0052] Furthermore, calculating the actual thermal conductivity of the sample to be detected according to the actual temperature difference and 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 in 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 effects of the present invention are as follows: By obtaining the thermal imaging images of the heating side and the cooling side through a thermal imaging camera and combining with calculating the maximum temperature difference, the uniformity of the temperature distribution of the sample can be accurately judged. By dividing the sample area and analyzing the temperature difference, the temperature fluctuations caused by uneven material composition or abnormal test environment can be effectively identified, thereby improving the accuracy of the detection results. That is, by dividing the sample area into two categories and analyzing the temperature distribution, the accuracy of the thermal imaging image can be effectively judged, and corresponding regulation can be carried out according to the analysis results, thereby improving the reliability and accuracy of the test, ensuring that the sample is uniformly heated during the test, avoiding local overheating or overcooling. By monitoring the real-time displacement field and environmental parameters, whether there is jitter or heat flow disturbance during the test can be identified, further ensuring the reliability of the test data; By comparing the calculated actual thermal conductivity with relevant standards, it can be judged whether the heat insulation performance of the sample meets the requirements.

[0056] Furthermore, by dividing the sample to be detected into several regions by meshing, it can be analyzed whether the sample is uniformly heated during the heating process. Since the non-uniformity of the materials inside the sample may cause changes in the heat conduction characteristics, by analyzing the types of regions with non-uniform heating, it can be determined whether the phenomenon of non-uniform temperature distribution of the sample is normal. That is, if it is determined that the temperature of any region fluctuates significantly and is not a region where the temperature distribution is necessarily uneven due to different material compositions, it means that the temperature fluctuation is abnormal, that is, the obtained thermal imaging image is inaccurate. Description of the Drawings

[0057] Figure 1 It is a schematic flow chart of the heat insulation performance detection process for the energy-saving and environmental protection curtain wall material in the embodiment of the present invention;

[0058] Figure 2 It is a schematic flow chart of determining whether the obtained thermal imaging image is accurate based on the maximum temperature difference in the embodiment of the present invention;

[0059] Figure 3Schematic flowchart of calculating the first maximum temperature difference of a sample to be detected according to the temperature differences of the respective units in an embodiment of the present invention;

[0060] Figure 4 Schematic flowchart of calculating the second maximum temperature difference of a sample to be detected according to the temperature differences of the respective second units in an embodiment of the present invention. Detailed implementation manners

[0061] In order to make the objectives and advantages of the present invention clearer and more understandable, the present invention will be 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 will be described below with reference to the accompanying drawings. Those skilled in the art should understand that these embodiments are only used to explain the technical principles of the present invention and do not limit the protection scope of the present invention.

[0063] It should be noted that in the description of the present invention, the terms indicating the direction or positional relationship such as "upper", "lower", "left", "right", "inner", "outer", etc. are based on the direction or positional relationship shown in the drawings. This is only 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, and therefore cannot be understood as a limitation of the present invention.

[0064] In addition, it should be noted that in the description of the present invention, unless otherwise clearly defined and limited, the terms "installation", "connection", and "connection" 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 directly connected or indirectly connected through an intermediate medium, and it can be the communication inside two elements. For those skilled in the art, the specific meanings of the above terms in the present invention can be understood according to specific situations.

[0065] Please refer to Figure 1 As shown, it is a schematic flowchart of the heat insulation performance detection process for energy-saving and environmental protection curtain wall materials in an embodiment of the present invention. The present invention provides a heat insulation performance detection process for energy-saving and environmental protection curtain wall materials, including

[0066] Step S1, sample cutting: Take a sample of the energy-saving and environmental protection curtain wall material to be detected, and cut the sample of the energy-saving and environmental protection curtain wall material to a preset size to obtain a sample to be processed;

[0067] Step S2, pretreatment: Clean and remove impurities from the surface of the sample to be processed to obtain a sample to be tested, and preheat the sample to be tested in a standard environment to obtain a sample to be detected;

[0068] Step S3: Performance test. Take images of the sample to be detected with a thermal imaging camera to obtain a first thermal imaging image and a second thermal imaging image. Calculate the maximum temperature difference based on the first thermal imaging image and the second thermal imaging image. Determine whether the obtained thermal imaging images are accurate based on the maximum temperature difference. When it is determined that the obtained thermal imaging images are inaccurate, determine whether to adjust the first standard heat insulation temperature difference based on the real-time displacement field and environmental parameters;

[0069] Among them, the first thermal imaging image is the thermal imaging image on the heating side, and the second thermal imaging image is the thermal imaging image on the cooling side;

[0070] Step S4: When it is determined that the obtained thermal imaging images are accurate and the temperature difference between both sides of the sample to be detected is not obvious, calculate the actual thermal conductivity of the sample to be detected according to the actual temperature difference and heat source conditions, including,

[0071]

[0072] Among them, γ is the actual thermal conductivity, Q is the heat applied by the heat source, d is the thickness of the sample in 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 °C, and the unit of Tcold is °C.

[0074] The standard environment in this embodiment includes a standard preheating temperature, a standard preheating humidity, and a standard preheating time. The standard preheating time is between 1 hour and 4 hours. Preferably, it is 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; use a preset device to preheat the sample. By placing the sample to be tested in the preheating device, ensure good contact between the sample and the device. Start the device and start the preheating process. During the preheating process, record the start time of preheating, continuously monitor the device status to ensure normal operation of the device. After the preheating time arrives, turn off the preheating device and carefully take out the sample from the device to avoid damaging the sample. Finally, check whether the sample reaches a stable state to ensure its suitability for subsequent heat insulation performance testing. The preheating device is a forced ventilation drying oven, and its model is Memmert UNB 400.

[0075] Thermal imaging images of the heating side and the cooling side are obtained through a thermal imaging camera, and the maximum temperature difference is calculated and combined to accurately judge the uniformity of the temperature distribution of the sample. By dividing the sample area and analyzing the temperature difference, temperature fluctuations caused by uneven material composition or abnormal test environment can be effectively identified, thereby improving the accuracy of the detection results. That is, by classifying the sample area into two categories and analyzing the temperature distribution, the accuracy of the thermal imaging image can be effectively judged, and corresponding regulation can be carried out according to the analysis results, thereby improving the reliability and accuracy of the test, ensuring that the sample is uniformly heated during the test, and avoiding local overheating or overcooling. Through the monitoring of the real-time displacement field and environmental parameters, it is possible to identify 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 relevant standards, it is possible to judge whether the heat insulation performance of the sample meets the requirements.

[0076] See Figure 2 As shown, it is a schematic flow chart of the method for determining whether the thermal imaging image obtained based on the maximum temperature difference is accurate in the embodiment of the present invention;

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

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

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

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

[0081] Step S3004, when it is determined that the overall temperature distribution of the sample is non-uniform, analyzing the type of the corresponding sample area, and determining whether the obtained thermal imaging image is accurate according to the analysis result;

[0082] Among them, the maximum temperature difference includes the first maximum temperature difference and the second maximum temperature difference. The first maximum temperature difference corresponds to the first standard heat insulation temperature difference, and the second maximum temperature difference corresponds to the second standard heat insulation temperature difference. When the maximum temperature difference is less than or equal to the corresponding standard heat insulation temperature difference, it is determined that the overall temperature distribution of the sample is uniform. When the maximum temperature difference is greater than the corresponding standard heat insulation temperature difference, it is determined that the overall temperature distribution of the sample is non-uniform.

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

[0084] By dividing the sample to be detected into several regions by meshing, it is possible to analyze whether the sample is uniformly heated during the heating process. Since the non-uniformity of the materials inside the sample may cause changes in the heat conduction characteristics, the type of the non-uniformly heated region is analyzed to determine whether the phenomenon of non-uniform temperature distribution in the sample is normal. That is, when it is determined that the temperature in any region fluctuates significantly and is not a region where the non-uniform temperature distribution is necessarily caused by different material compositions, it indicates that the temperature fluctuation is abnormal, that is, the obtained thermal imaging image is inaccurate.

[0085] Specifically, the types of the corresponding sample regions to be analyzed include

[0086] The sample to be detected is divided into multiple regions, and the type of each region is marked, including a first type of unit region and a second type of unit region;

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

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

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

[0090] The composition or density of the sample is non-uniform, resulting in differences in thermal conductivity in different regions and causing non-uniform heat insulation performance. Therefore, by classifying the types of each region of the sample to be detected, that is, by dividing the sample regions into two types to judge the normality of the temperature distribution, the accuracy of the thermal imaging image can be effectively judged.

[0091] Specifically, determining whether the obtained thermal imaging image is accurate according to the analysis result includes

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

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

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

[0095] Obtain the average temperature difference value between the two sides corresponding to any detection point of the sample to be detected, and judge 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 detected is not obvious;

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

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

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

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

[0101] Obtain a continuous thermal imaging sequence;

[0102] Record each frame in the continuous thermal imaging sequence and convert it into a grayscale image;

[0103] Calculate the displacement field between 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 difference value of the standard displacement field, 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 difference value of the standard displacement field, it is determined that there is a jitter phenomenon.

[0106] In this embodiment, the difference value of the standard displacement field is set to 0.5 pixels. By analyzing the fluctuation of the displacement field, a preliminary check is made to see if there is a "fluttering" phenomenon. That is, when it is determined that the real-time displacement field is greater than the difference value of the standard displacement field and the environmental parameters fluctuate, it indicates that there is a "fluttering" phenomenon. This is because when the environmental temperature is too high, the thermal radiation in the visible light band generated by the sample is brighter than the white compensation light source, resulting in "de-correlation" of the image feature points, making it impossible to perform matching and calculation, leading to image distortion. Then, the set temperature threshold is adaptively adjusted to improve the sensitivity of the system to temperature changes.

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

[0108] Real-time monitor the environmental temperature, environmental humidity, and air flow characteristics;

[0109] When it is determined that the fluctuations of the environmental temperature, environmental humidity, and air flow characteristics exceed the corresponding thresholds, it is determined that there is a heat flux 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 heat flux disturbance;

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

[0112] Refer to Figure 3 As shown, it is a schematic flowchart of calculating the first maximum temperature difference of the sample to be detected according to the temperature differences of each of the said units in an embodiment of the present invention;

[0113] Specifically, calculating the first maximum temperature difference of the sample to be detected according to the temperature differences of each of the said units includes,

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

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

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

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

[0118] Refer to Figure 4 As shown, it is a schematic flowchart of calculating the second maximum temperature difference of the sample to be detected according to the temperature differences of each of the second unit in an embodiment of the present invention;

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

[0120] Step S3212, obtaining the actual difference between the temperature on the heating side and the temperature on the cooling side corresponding to each detection point within a class of unit regions to obtain the second unit temperature difference;

[0121] Step S3222, adding the second unit temperature differences and then dividing by the number of detection points to obtain the second average temperature difference of this class of unit regions;

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

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

[0124] So far, the technical solution of the present invention has been described in conjunction with the preferred embodiments shown in the accompanying drawings. However, it is easily understood by those skilled in the art 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 are only the preferred embodiments of the present invention and are not used to limit the present invention. For those skilled in the art, the present invention can have various changes and modifications. Any modification, equivalent substitution, 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 heat insulation performance detection process for energy-saving and environmental protection curtain wall materials, characterized in that, Including, Step S1, sample cutting: Take a sample of the energy-saving and environmental-friendly curtain wall material to be tested, and cut the sample of the energy-saving and environmental-friendly curtain wall material according to a preset size to obtain a sample to be processed; Step S2, pretreatment: Clean and remove impurities from the surface of the sample to be processed to obtain a sample to be tested, and preheat the sample to be tested under standard environmental conditions to obtain a sample to be detected; Step S3, performance testing: Take pictures of the sample to be detected through a thermal imaging camera to obtain a first thermal imaging image and a second thermal imaging image, calculate the maximum temperature difference according to the first thermal imaging image and the second thermal imaging image, and determine whether the obtained thermal imaging image is accurate based on the maximum temperature difference. When it is determined that the obtained thermal imaging image is inaccurate, determine whether to adjust the first standard heat insulation temperature difference based on the real-time displacement field and environmental parameters; Among them, the first thermal imaging image is the thermal imaging image of the heating side, and the second thermal imaging image is the thermal imaging image of the cooling side; Determining whether the obtained thermal imaging image is accurate based on the maximum temperature difference includes Step S3001: Obtain the first unit temperature difference and the second unit temperature difference corresponding to the unit area of the sample to be detected; Step S3002: Calculate the first maximum temperature difference of the sample to be detected according to each of the first unit temperature differences, and calculate the second maximum temperature difference of the sample to be detected according to each of the second unit temperature differences; Step S3003: Compare the maximum temperature difference with the corresponding standard heat insulation temperature difference, and determine whether the temperature distribution of the whole sample is uniform according to the comparison result; Step S3004: When it is determined that the temperature distribution of the whole sample is not uniform, analyze the type of the corresponding sample area, and determine whether the obtained thermal imaging image is accurate according to the analysis result; Analyzing the type of the corresponding sample area includes Dividing the sample to be detected into multiple areas, and marking the type of each area, including a first-class unit area and a second-class unit area; When it is determined that there is a corresponding sample area as a first-class unit area, obtain a first analysis result; When it is determined that the corresponding sample areas are all second-class unit areas, obtain a second analysis result; Among them, the first-class unit area is a homogeneous material area, and the second-class unit area is a composite material area; Step S4: When it is determined that the obtained thermal imaging image is accurate and the temperature difference between both sides of the sample to be detected is not obvious, calculate the actual thermal conductivity of the sample to be detected according to the actual temperature difference and the heat source condition; Calculating the actual thermal conductivity of the sample to be detected according to the actual temperature difference and the heat source condition includes ， Among them, γ is the actual thermal conductivity, Q is the heat applied by the heat source, d is the thickness of the sample in m, A is the cross-sectional area of the sample, Thot is the average temperature of the heating side, and Tcold is the average temperature of the cooling side.

2. The thermal insulation performance detection process for energy-saving and environmental-friendly curtain wall materials according to claim 1, characterized in that 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 thermal insulation temperature difference, and the second maximum temperature difference corresponds to a second standard thermal insulation temperature difference. When the maximum temperature difference is less than or equal to the corresponding standard thermal insulation temperature difference, it is determined that the temperature distribution of the whole sample is uniform. When the maximum temperature difference is greater than the corresponding standard thermal insulation temperature difference, it is determined that the temperature distribution of the whole sample is non-uniform.

3. The heat insulation performance detection process for energy-saving and environmental protection curtain wall materials according to claim 2, characterized in that, Determining whether the acquired thermal imaging image is accurate based on the analysis result includes when obtaining the first analysis result, determining that the acquired thermal imaging image is inaccurate; when obtaining the second analysis result, determining that the acquired thermal imaging image is accurate.

4. The heat insulation performance detection process for energy-saving and environmental protection curtain wall materials according to claim 1, characterized in that Determining whether to adjust the first standard thermal insulation temperature difference based on the real-time displacement field and environmental parameters includes obtaining the average temperature difference value on both sides corresponding to any detection point of the sample to be detected, and determining 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 detected is not obvious; if the average temperature difference value is greater than or equal to the standard temperature difference value, determining whether there is a jitter phenomenon based on the real-time displacement field; when determining 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 thermal insulation temperature difference; wherein, the first standard thermal insulation temperature difference is adjusted to 1.5 °C.

5. The heat insulation performance detection process for energy-saving and environmental protection curtain wall materials according to claim 4, characterized in that, Determining whether there is a jitter phenomenon based on the real-time displacement field includes obtaining a continuous thermal imaging sequence; recording each frame in the continuous thermal imaging sequence and converting it into a grayscale image; calculating the displacement field between the current frame and the previous frame as the real-time displacement field, and comparing 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 difference value of the standard displacement field, determining that there is no jitter phenomenon and performing on-site inspection processing; when the real-time displacement field is greater than the difference value of the standard displacement field, determining that there is a jitter phenomenon.

6. The heat insulation performance detection process for the energy-saving and environmental protection curtain wall material according to claim 5, characterized in that, Determining whether there is a heat flow disturbance based on the environmental parameters includes real-time monitoring of the environmental temperature, environmental humidity and air flow characteristics; when determining that the fluctuations of the environmental temperature, environmental humidity and air flow characteristics exceed the corresponding thresholds, determining that there is a heat flow disturbance; when determining that the fluctuations of the environmental temperature, environmental humidity and air flow characteristics are all within the corresponding threshold ranges, determining that there is no heat flow disturbance; wherein, the air flow characteristics include the flow velocity and direction of the gas.

7. The heat insulation performance detection process for energy-saving and environmental protection curtain wall materials according to claim 2, characterized in that, Calculating the first maximum temperature difference of the sample to be detected according to the temperature differences of each of the said units includes Step S3112, obtaining the actual difference between the temperature on the heating side and the temperature on the cooling side of a type of unit area to obtain the first unit temperature difference; Step S3122, adding up the first unit temperature differences and then dividing by the number of unit areas to obtain the first average temperature difference; Step S3132, subtracting the first average temperature difference from each of the first unit temperature differences to obtain a number of first temperature fluctuation values; Step S3142, taking the absolute value of each first temperature fluctuation value and selecting the value with the largest absolute value to obtain the first maximum temperature difference.

8. The heat insulation performance detection process for energy-saving and environmental protection curtain wall materials according to claim 2, characterized in that Calculating the second maximum temperature difference of the sample to be detected according to the temperature differences of each of the said second units includes Step S3212: Obtain the actual difference between the temperature on the heating side and the temperature on the cooling side corresponding to each detection point within the second type of unit area, so as to obtain the second unit temperature difference; Step S3222: Add up the second unit temperature differences and then divide by the number of detection points to obtain the second average temperature difference of this second type of unit area; Step S3232: Subtract the second average temperature difference from each second unit temperature difference to obtain a number of second temperature fluctuation values; Step S3242: Take the absolute value of each second temperature fluctuation value, and select the value with the largest absolute value to obtain the corresponding second maximum temperature difference.

Images