Building thermal insulation material product performance detection processing method

Abstract

The invention discloses a building thermal insulation material product performance detection processing method, which fully considers the influence of actual environmental factors on the material performance by collecting the temperature value and the humidity value in the material application environment and calculating the dynamic weight of the heat conductivity coefficient and the water absorption rate, and compared with the traditional standard environment detection, the detection processing method has the advantages that the detection efficiency is greatly improved; and the performance of the material in different environments can be reflected more truly, so that the detection result is more suitable for the actual use condition. When the temperature value and the humidity value simultaneously exceed the standard range, the weight of the water absorption is secondarily amplified, and the heat conductivity coefficient and the qualified threshold of the water absorption are adjusted according to the fact that the temperature and the humidity exceed the specific value, so that the adaptability of the material in the extreme environment can be more accurately evaluated, misjudgment caused by a fixed standard is avoided, and the material quality is improved. And more reliable data support is provided for building design and construction.

Description

Technical Field

[0001] This application relates to the technical field of performance testing of building thermal insulation materials, and particularly to a method for testing and processing the performance of building thermal insulation material products. Background Art

[0002] In the construction field, the performance of building thermal insulation materials is crucial for building energy conservation, comfort, and structural safety. With the development of the construction industry, the performance requirements for building thermal insulation materials are also increasing day by day.

[0003] Traditional methods for testing the performance of building thermal insulation material products are usually carried out in a standard environment. This testing method cannot truly reflect the performance of the material in the actual application environment. The temperature and humidity in the actual application environment are complex and variable, and different temperature and humidity conditions will have a significant impact on the thermal conductivity and water absorption rate of the thermal insulation material. For example, in a high-temperature and high-humidity environment, the thermal conductivity of the thermal insulation material may increase, resulting in a decrease in the thermal insulation performance; an increase in the water absorption rate may affect the durability and structural strength of the material.

[0004] However, the existing testing methods do not fully consider the dynamic changes of these environmental factors, resulting in a large deviation between the test results and the actual usage situation, and unable to provide accurate and effective data support for building design and construction.

[0005] In addition, when evaluating the performance of thermal insulation materials at present, there is a lack of a scientific and reasonable weight distribution mechanism to measure the influence degree of temperature and humidity on the thermal conductivity and water absorption rate. This leads to the inability to accurately reflect the actual role of each factor in the comprehensive evaluation of material performance, and it is difficult to make an accurate judgment on the adaptability of the material in different environments.

[0006] At the same time, in the existing performance evaluation system, the threshold setting is often fixed and does not consider the impact on the passing standard when the actual environmental parameters change. For example, in extreme environments such as high temperature or high humidity, the conventional passing threshold is still used for judgment. This may misjudge some materials that actually perform well in special environments as unqualified, or misjudge some materials with poor performance as qualified, affecting the quality and safety of building projects.

[0007] Moreover, when the test results are not ideal, the existing technology cannot automatically provide effective environmental parameter optimization suggestions for users, making it difficult for users to take targeted measures to improve the usage effect of the material. Therefore, it is urgent to develop a testing and processing method that can consider the actual application environmental factors, scientifically evaluate the performance of thermal insulation materials, and provide optimization suggestions based on the test results. Summary of the Invention

[0008] In an exemplary embodiment of the present application, a method for detecting and processing the performance of building thermal insulation material products is provided to improve the comprehensiveness of the detection performance of building thermal insulation material products.

[0009] The present application provides a method for detecting and processing the performance of building thermal insulation material products, which includes the following steps:

[0010] S1: Collect the temperature value and humidity value in the material application environment;

[0011] S2: Calculate the dynamic weights of the thermal conductivity and water absorption rate according to the temperature value and the humidity value. Among them, the weight distribution influence coefficient of the temperature value on the thermal conductivity is 1.2 - 1.8 times that of the humidity value on the thermal conductivity, and the weight distribution influence coefficient of the humidity value on the water absorption rate is 2 - 3 times that of the temperature value on the water absorption rate;

[0012] S3: Perform weighted operations on the dynamic weights and the corresponding thermal conductivity and water absorption rate respectively to obtain the corrected comprehensive performance evaluation value;

[0013] S4: Compare the comprehensive performance evaluation value with a preset threshold range and output the adaptability evaluation result of the material under the environmental parameters.

[0014] Further, S2 further includes: performing normalized deviation calculation on the temperature value and the humidity value with the standard environmental parameters to obtain a temperature deviation coefficient and a humidity deviation coefficient;

[0015] Select a corresponding environmental impact factor matrix according to the material type. The environmental impact factor matrix includes the temperature impact factor and humidity impact factor of the thermal conductivity, and the temperature impact factor and humidity impact factor of the water absorption rate.

[0016] Further, it also includes: in the environmental impact factor matrix, the temperature impact factor of the thermal conductivity is set to 0.6 - 0.8, and the humidity impact factor of the water absorption rate is set to 0.7 - 0.9.

[0017] Further, the weighted operation in S3 adopts a step-by-step correction strategy. When the temperature value and the humidity value both exceed the standard range, the weight of the water absorption rate is amplified twice, and the amplification coefficient is 1.2 - 1.5 times.

[0018] Further, the threshold range setting in S4 includes a dynamic compensation mechanism. When the temperature value exceeds 40°C, the qualified threshold of the thermal conductivity is lowered by 5% - 8%.

[0019] Further, the threshold interval setting of S4 includes a dynamic compensation mechanism. When the humidity value exceeds 80% RH, the qualified threshold of the water absorption rate is lowered by 30%-40%.

[0020] Further, when the corrected comprehensive performance evaluation value is lower than 80% of the preset threshold, an environmental parameter optimization suggestion is automatically generated.

[0021] The embodiments of the present application have the following beneficial effects: The method for detecting and processing the performance of the building insulation material product of the present invention collects the temperature value and humidity value in the material application environment, and calculates the dynamic weights of the thermal conductivity and water absorption rate, fully considering the influence of actual environmental factors on the material performance. Compared with the traditional standard environment detection, it can more truly reflect the performance of the material in different environments, making the detection results more in line with the actual use situation. The application of the hierarchical correction strategy and the dynamic compensation mechanism further optimizes the scientific nature of the performance evaluation. When the temperature value and humidity value both exceed the standard range, the weight of the water absorption rate is amplified twice, and the qualified thresholds of the thermal conductivity and water absorption rate are adjusted according to the temperature and humidity exceeding specific values, which can more accurately evaluate the adaptability of the material in extreme environments and avoid misjudgment caused by fixed standards, providing more reliable data support for building design and construction. When the corrected comprehensive performance evaluation value is lower than 80% of the preset threshold, an environmental parameter optimization suggestion is automatically generated, providing an improvement direction for users, helping users take targeted measures to improve the material performance, thereby improving the use efficiency of the building insulation material and ensuring the energy-saving effect, comfort and safety of the building. Description of the Drawings

[0022] In order to more clearly illustrate the technical solutions in the embodiments of the present application, the following will briefly introduce the drawings required for the description of the embodiments. Obviously, the drawings in the following description are only some embodiments of the present application. For those of ordinary skill in the art, without creative efforts, other drawings can also be obtained based on these drawings.

[0023] Figure 1 Exemplarily shows a schematic flow chart of a method for detecting and processing the performance of a building insulation material product provided by the embodiments of the present application. Detailed Embodiments

[0024] To make the objectives, technical solutions, and advantages of the embodiments of the present application clearer, the technical solutions in the embodiments of the present application will be clearly and completely described below in conjunction with the drawings in the embodiments of the present application.

[0025] To further illustrate the technical solutions provided by the embodiments of the present application, the following will provide a detailed description in conjunction with the accompanying drawings and specific implementation manners. Although the embodiments of the present application provide method operation steps as shown in the following embodiments or drawings, more or fewer operation steps may be included in the method based on routine or non-creative labor. In steps where there is no necessary causal relationship logically, the execution order of these steps is not limited to the execution order provided by the embodiments of the present application.

[0026] Referring Figure 1 As shown, the present application provides a method for detecting and processing the performance of a building thermal insulation material product, which includes the following steps:

[0027] S1: Collect the temperature value and humidity value in the material application environment.

[0028] Taking into account the influence of temperature and humidity on the thermal conductivity and water absorption rate, quantifying and integrating each factor to obtain a comprehensive performance evaluation value that can reflect the material's performance in the actual environment. Provide a quantitative comprehensive index to facilitate an intuitive judgment of the material's performance and provide a clear data basis for subsequent adaptability evaluation.

[0029] S2: Calculate the dynamic weights of the thermal conductivity and water absorption rate according to the temperature value and humidity value. Among them, the weight distribution influence coefficient of the temperature value on the thermal conductivity is 1.2 - 1.8 times that of the humidity value on the thermal conductivity, and the weight distribution influence coefficient of the humidity value on the water absorption rate is 2 - 3 times that of the temperature value on the water absorption rate.

[0030] S2 also includes: performing a normalized deviation calculation on the temperature value and humidity value with the standard environmental parameters to obtain a temperature deviation coefficient and a humidity deviation coefficient.

[0031] When the temperature value and humidity value exceed the standard range at the same time, the performance change of the material is more complex. The weight of the water absorption rate is amplified twice to strengthen the evaluation of the influence of the water absorption rate on the comprehensive performance in this case. More accurately evaluate the comprehensive performance of the material in extreme environments and avoid misjudgment of performance caused by extreme changes in environmental factors.

[0032] Select the corresponding environmental impact factor matrix according to the material type. The environmental impact factor matrix includes the temperature impact factor and humidity impact factor of the thermal conductivity, and the temperature impact factor and humidity impact factor of the water absorption rate.

[0033] In the environmental impact factor matrix, the temperature impact factor of the thermal conductivity is set to 0.6 - 0.8, and the humidity impact factor of the water absorption rate is set to 0.7 - 0.9.

[0034] The setting purpose is to compare the collected temperature and humidity values with the standard environmental parameters to obtain the temperature deviation coefficient and the humidity deviation coefficient, so as to measure the difference degree between the actual environment and the standard environment. The technical effect is to provide data support for subsequent accurate weight adjustment and enhance the scientific nature of weight calculation.

[0035] Different materials have different sensitivities to temperature and humidity. By selecting the corresponding matrix according to the material type, the influence of environmental factors on the material performance can be evaluated specifically. The technical effect is to improve the pertinence and accuracy of the evaluation and meet the detection requirements of different types of thermal insulation materials.

[0036] The method for calculating the dynamic weights of the thermal conductivity coefficient and the water absorption rate in S2 aims to more accurately evaluate the performance of building thermal insulation materials under different environments. Different temperature and humidity conditions have different influence degrees on the thermal conductivity coefficient and the water absorption rate of the materials. By setting different weight distribution influence coefficients, the difference in the effects of environmental factors on the material performance indicators can be quantified. By performing normalized deviation calculations on the temperature value and the humidity value with the standard environmental parameters, the temperature deviation coefficient and the humidity deviation coefficient are obtained, which can reflect the deviation degree between the actual environment and the standard environment and make the subsequent calculations more in line with the actual situation.

[0037] Selecting the corresponding environmental impact factor matrix can specifically consider the specific effects of temperature and humidity on the thermal conductivity coefficient and the water absorption rate according to different material types and their own characteristics, so as to provide a more scientific basis for correcting the comprehensive performance evaluation value, improve the accuracy and reliability of the detection results, and help users more accurately judge the applicability of the material in a specific environment.

[0038] Suppose there is a building thermal insulation material. In a certain application environment, the collected temperature value is 30 °C and the humidity value is 70% RH. The standard environmental temperature is 25 °C and the standard environmental humidity is 60% RH.

[0039] First, calculate the temperature deviation coefficient and the humidity deviation coefficient. Temperature deviation coefficient = (30 - 25) ÷ (standard temperature upper limit - standard temperature lower limit) (assuming the standard temperature range is appropriate). The humidity deviation coefficient is calculated similarly.

[0040] Let the weight distribution influence coefficient of the humidity value on the thermal conductivity coefficient be 0.5. According to the conditions, the weight distribution influence coefficient of the temperature value on the thermal conductivity coefficient is 0.5 × 1.5 (taking the middle value) = 0.75. In the environmental impact factor matrix, assume that the temperature influence factor of the thermal conductivity coefficient is 0.7 and the humidity influence factor is 0.6. Then, to calculate the dynamic weight of the thermal conductivity coefficient, it is necessary to comprehensively calculate in combination with the deviation coefficient, the weight distribution influence coefficient, and the influence factor.

[0041] For the water absorption rate, assume that the influence coefficient of the temperature value on the weight distribution of the water absorption rate is 0.3, and the influence coefficient of the humidity value on the weight distribution of the water absorption rate is 0.3×2.5 (taking the intermediate value) = 0.75. Assume that the temperature influence factor of the water absorption rate is 0.4 and the humidity influence factor is 0.8. Calculate the dynamic weights of the water absorption rate. Subsequently, through weighted operations, these dynamic weights are combined with the corresponding thermal conductivity and water absorption rate to obtain a more environmentally compliant corrected comprehensive performance evaluation value for evaluating the material properties.

[0042] S3: Perform weighted operations on the dynamic weights with the corresponding thermal conductivity and water absorption rate respectively to obtain the corrected comprehensive performance evaluation value.

[0043] The weighted operation in S3 adopts a hierarchical correction strategy. When both the temperature value and the humidity value exceed the standard range, the weight of the water absorption rate is amplified twice, and the amplification factor is 1.2 - 1.5 times.

[0044] The hierarchical correction strategy is adopted for the weighted operation in S3 to more accurately reflect the comprehensive performance of building insulation materials in complex environments. When both the temperature value and the humidity value exceed the standard range, the weight of the water absorption rate is amplified twice because in such extreme environments, the water absorption performance of the material has a more critical impact on its overall performance. After the building insulation material absorbs water, its thermal insulation performance will drop significantly, seriously affecting the use effect.

[0045] By amplifying the weight of the water absorption rate twice, the importance of this performance index in harsh environments can be highlighted, and the corrected comprehensive performance evaluation value can more truly reflect the performance of the material in actual complex environments. This can avoid ignoring the impact of harsh environments on the water absorption performance of materials during the detection process, provide more valuable detection results for users, help them accurately judge whether the material is suitable in different environments, and then make more reasonable choices.

[0046] Assume that for a certain building insulation material, in the standard environment, the standard value of the thermal conductivity is 0.05 W / (m·K), and the standard value of the water absorption rate is 5%. In an actual detection, the collected temperature value is 35°C (exceeding the standard temperature), and the humidity value is 85% RH (exceeding the standard humidity).

[0047] According to the previous calculations, the dynamic weight of the thermal conductivity is 0.6, and the dynamic weight of the water absorption rate is 0.4 (without considering the double amplification). Under normal circumstances, the preliminary comprehensive performance evaluation value obtained from the weighted operation is: 0.05×0.6 + 5%×0.4 = 0.03 + 0.02 = 0.05.

[0048] However, since both the temperature and humidity exceed the standard, according to the hierarchical correction strategy, the weight of water absorption rate is amplified twice, and the amplification factor is taken as 1.3. The amplified weight of water absorption rate becomes 0.4 × 1.3 = 0.52, and the weight of thermal conductivity is adjusted accordingly to 1 - 0.52 = 0.48.

[0049] Perform the weighted operation again. The corrected comprehensive performance evaluation value is: 0.05 × 0.48 + 5% × 0.52 = 0.024 + 0.026 = 0.05. It can be seen from this example that after adjusting the weights by the hierarchical correction strategy, the comprehensive performance evaluation value has changed, which can better reflect the influence of the water absorption performance of the material on the overall performance in such a harsh environment, thus providing a more accurate basis for evaluating the actual application effect of the material.

[0050] S4: Compare the comprehensive performance evaluation value with the preset threshold range and output the adaptability evaluation result of the material under the environmental parameters.

[0051] The threshold range setting of S4 includes a dynamic compensation mechanism. When the temperature value exceeds 40°C, the qualified threshold of thermal conductivity is lowered by 5% - 8%.

[0052] The threshold range setting of S4 includes a dynamic compensation mechanism. When the humidity value exceeds 80%RH, the qualified threshold of water absorption rate is lowered by 30% - 40%.

[0053] When the temperature value exceeds 40°C, lower the qualified threshold of thermal conductivity. Considering that the high-temperature environment will cause the thermal conductivity to rise naturally, adjust the standard reasonably to avoid misjudgment caused by the high-temperature environment and make the evaluation more in line with the actual use situation.

[0054] When the humidity value exceeds 80%RH, lower the qualified threshold of water absorption rate because it is normal for the water absorption rate of the material to increase in a high-humidity environment, and evaluate the material performance in a high-humidity environment more objectively to ensure the rationality of the evaluation result.

[0055] When the corrected comprehensive performance evaluation value is lower than 80% of the preset threshold, automatically generate suggestions for optimizing environmental parameters.

[0056] When the comprehensive performance evaluation value is low, provide an improvement direction for the user to help improve the performance of the material in the actual environment.

[0057] Save the time and cost for the user to find improvement methods, improve the use efficiency of building insulation materials, and promote building energy conservation and quality improvement.

[0058] S4 compares the comprehensive performance evaluation value with the preset threshold range and outputs the adaptability evaluation result. At the same time, a dynamic compensation mechanism is set up and optimization suggestions are generated, aiming to comprehensively, flexibly and accurately evaluate the applicability of building thermal insulation materials in different environments and provide practical information for users. The preset threshold range, as the benchmark for judging whether the material performance meets the standard, can intuitively reflect whether the material meets the usage requirements under the current environmental parameters.

[0059] The dynamic compensation mechanism adjusts the qualified threshold according to the temperature and humidity changes. Considering the special impact of extreme environments on the material performance, it makes the evaluation result more in line with the actual situation. For example, when the temperature is high, the qualified threshold of the thermal conductivity is lowered, and when the humidity is high, the qualified threshold of the water absorption rate is lowered, avoiding overly strict requirements for the material performance in harsh environments and ensuring the rationality of the evaluation. When the comprehensive performance evaluation value is too low, environmental parameter optimization suggestions are automatically generated to provide a direction for improving the material performance, which helps to improve the usage efficiency and lifespan of the material and also provides operation guidance for users in practical applications.

[0060] Suppose a building thermal insulation material, whose qualified threshold of thermal conductivity in the standard environment is 0.06 W / (m·K), and the qualified threshold of water absorption rate is 8%. In a certain actual test, the collected environmental temperature is 45°C and the humidity is 75% RH. Among the comprehensive performance evaluation values calculated in the previous steps, the thermal conductivity is 0.07 W / (m·K) and the water absorption rate is 7%.

[0061] Since the temperature exceeds 40°C, according to the dynamic compensation mechanism, the qualified threshold of the thermal conductivity is lowered by 6% (taking the median value), and after adjustment, it is 0.06×(1 - 6%) = 0.0564 W / (m·K). At this time, the thermal conductivity of the material, 0.07 W / (m·K), is greater than the adjusted qualified threshold, indicating that in the current high-temperature environment, the thermal performance of the material does not meet the standard. While the water absorption rate of 7% is less than the standard threshold of 8% and is within the qualified range. Overall judgment, the material is not fully applicable in the current environment.

[0062] If the calculated comprehensive performance evaluation value is lower than 80% of the preset threshold, for example, the comprehensive performance evaluation value shows that the thermal conductivity is 0.09 W / (m·K) after conversion, which is far lower than the standard, the system will automatically generate environmental parameter optimization suggestions, such as suggesting to lower the environmental temperature or take moisture-proof measures to improve the thermal insulation performance of the material and help users improve the usage effect of the material.

[0063] Those skilled in the art should understand that the embodiments of the present application can be provided as a method, a system, or a computer program product. Therefore, the present application can take the form of a complete hardware embodiment, a complete software embodiment, or an embodiment combining software and hardware aspects. Moreover, the present application can take the form of a computer program product implemented on one or more computer-usable storage media (including but not limited to disk storage, CD-ROM, optical storage, etc.) that contain computer-usable program code.

[0064] The present application is described with reference to the flowcharts and / or block diagrams of methods, devices (systems), and computer program products according to the present application. It should be understood that each flow and / or block in the flowchart and / or block diagram, and the combination of flows and / or blocks in the flowchart and / or block diagram, can be implemented by computer program instructions. These computer program instructions can be provided to the processor of a general-purpose computer, a special-purpose computer, an embedded processor, or other programmable data processing devices to generate a machine, such that the instructions executed by the processor of the computer or other programmable data processing devices generate means for implementing the functions specified in Figure 1 one or more of the flows Figure 1 or blocks or combinations of blocks.

[0065] These computer program instructions can also be stored in a computer-readable memory that can direct a computer or other programmable data processing device to work in a specific manner, such that the instructions stored in the computer-readable memory generate a manufactured article including instruction means that implement the functions specified in Figure 1 one or more of the flows Figure 1 or blocks or combinations of blocks.

[0066] These computer program instructions can also be loaded onto a computer or other programmable data processing device, such that a series of operation steps are executed on the computer or other programmable device to generate a computer-implemented process, and thus the instructions executed on the computer or other programmable device provide steps for implementing the functions specified in Figure 1 one or more of the flows Figure 1 or blocks or combinations of blocks.

[0067] Obviously, those skilled in the art can make various changes and modifications to the present application without departing from the scope of the present application. Thus, if these modifications and variations of the present application fall within the scope of the claims of the present application and their equivalent technologies, the present application is also intended to include these changes and modifications.

Claims

1. A method for detecting and processing the performance of a building thermal insulation material product, characterized in that, It includes the following steps: S1: Collect the temperature value and humidity value in the material application environment; S2: Calculate the dynamic weights of the thermal conductivity and water absorption rate according to the temperature value and the humidity value. Among them, the weight distribution influence coefficient of the temperature value on the thermal conductivity is 1.2 - 1.8 times that of the humidity value on the thermal conductivity, and the weight distribution influence coefficient of the humidity value on the water absorption rate is 2 - 3 times that of the temperature value on the water absorption rate; S3: Perform weighted operations on the dynamic weights and the corresponding thermal conductivity and water absorption rate respectively to obtain the corrected comprehensive performance evaluation value; S4: Compare the comprehensive performance evaluation value with a preset threshold range and output the adaptability evaluation result of the material under the environmental parameters.

2. The method according to claim 1, wherein The S2 further includes: Perform normalized deviation calculations on the temperature value and the humidity value with the standard environmental parameters to obtain a temperature deviation coefficient and a humidity deviation coefficient; Select the corresponding environmental impact factor matrix according to the material type. The environmental impact factor matrix includes the temperature impact factor and humidity impact factor of the thermal conductivity, and the temperature impact factor and humidity impact factor of the water absorption rate.

3. The method according to claim 2, wherein It also includes: In the environmental impact factor matrix, the temperature impact factor of the thermal conductivity is set to 0.6 - 0.8, and the humidity impact factor of the water absorption rate is set to 0.7 - 0.

9.

4. The method according to claim 3, wherein The weighted operation in S3 adopts a step-by-step correction strategy. When the temperature value and the humidity value both exceed the standard range, the weight of the water absorption rate is amplified twice, and the amplification coefficient is 1.2 - 1.5 times.

5. The method according to claim 4, wherein The threshold range setting in S4 includes a dynamic compensation mechanism. When the temperature value exceeds 40°C, the qualified threshold of the thermal conductivity is lowered by 5% - 8%.

6. The method according to claim 5, wherein The threshold range setting in S4 includes a dynamic compensation mechanism. When the humidity value exceeds 80%RH, the qualified threshold of the water absorption rate is lowered by 30% - 40%.

7. The method according to claim 1, wherein When the corrected comprehensive performance evaluation value is lower than 80% of the preset threshold, an environmental parameter optimization suggestion is automatically generated.

Images