Thermal insulation test data processing and analysis method and system for integrated materials

Abstract

The present invention relates to the technical field of integrated wood testing, and specifically discloses a method and system for processing and analyzing thermal insulation test data for integrated wood, the method comprising: obtaining sample specification data, thermal performance data, and test environment data of each integrated wood sample; processing the sample specification data to obtain a standard evaluation index of each integrated wood sample, processing the thermal performance data to obtain a thermal insulation efficiency evaluation index of each integrated wood sample, and comprehensively analyzing to obtain a thermal insulation performance evaluation value of each integrated wood sample; and obtaining an integrated wood thermal insulation performance index according to the thermal insulation performance evaluation value of each integrated wood sample. The present invention can clarify the advantages and disadvantages of different materials in terms of thermal insulation by providing a method and system for processing and analyzing thermal insulation test data for integrated wood, helping designers and users to select the most suitable materials according to specific needs, helping to reduce engineering quality problems and safety hazards caused by material quality problems, and further improving market competitiveness.

Description

Technical Field

[0001] The present invention relates to the technical field of integrated wood testing, and in particular to a method and system for processing and analyzing thermal insulation test data of integrated wood. Background Art

[0002] At present, the processing and analysis of thermal insulation test data for integrated materials is a very important part of the field of integrated material testing technology. With the advancement of technology and the growth of demand, it has become the norm to provide more refined methods for processing and analyzing thermal insulation test data for integrated materials. An efficient and accurate thermal insulation test data processing and analysis system for integrated materials is of great significance for optimizing product design and improving energy efficiency.

[0003] For example, the invention patent with announcement number CN115876838B is a device for testing the thermal insulation performance and aging characteristics of aerogel materials on track, including a base and a test system installed on the base. The test system includes: a cold end component, a hot end component, a test component, a sample thermal insulation component and a sample fixing component; the cold end component serves as a channel for heat dissipation to the space and is thermally insulated from the base body; the test component is respectively solidified in the glue pool structure of the cold and hot end components and the outer surface of the hot end component; the sample thermal insulation component is coated on the outer surface of the hot end component, and together with the cold end component and the hot end component, forms a space for filling and installing the sample component; the sample fixing component fixes the various parts of the test system as a whole.

[0004] For example, the invention patent with announcement number CN118980711A is an intelligent detection method and system for thermal insulation performance of low-carbon building materials, which involves the field of intelligent detection technology. During operation, the system collects initial characteristic data of bio-based foam from various sensors and equipment, uses high-precision sensors and instruments to measure foam samples, collects thermal conductivity data, insulation data and environmental humidity data, obtains the first data group, the second data group and the third data group, calculates the thermal insulation performance index Bgxn, thermal conductivity coefficient Rdlx, insulation performance coefficient Rrxs and environmental humidity stability coefficient Sdwd after preprocessing operations, conducts performance tests and accelerated aging tests under environmental humidity conditions, compares the thermal insulation performance index Bgxn with the preset qualified threshold M and the preset qualified threshold N, obtains an intelligent evaluation plan, generates a performance report, and displays data and analysis results through charts, heat maps and visualization tools. The report includes performance evaluation results, suggestions and improvement measures.

[0005] However, in the process of implementing the technical solution of the invention in the embodiments of the present application, it was found that the above technology has at least the following technical problems: the current insulation test data processing and analysis methods for integrated materials pay more attention to test precision and accuracy, but integrated materials have complex structures and properties, and it is difficult to guarantee a comprehensive reflection of the air insulation performance. Summary of the invention

[0006] In view of the deficiencies in the prior art, the present invention provides a method and system for processing and analyzing thermal insulation test data for integrated materials, which can effectively solve the problems involved in the above-mentioned background technology.

[0007] To achieve the above objectives, the present invention is implemented through the following technical solutions: The first aspect of the present invention provides a method for processing and analyzing thermal insulation test data for integrated materials, including: obtaining thermal insulation test data of each integrated material sample, the thermal insulation test data including sample specification data, thermal performance data and test environment data.

[0008] The sample specification data is processed to obtain the standard evaluation index of each integrated wood sample, the thermal performance data is processed to obtain the thermal insulation efficiency evaluation index of each integrated wood sample, the test environment data is processed to obtain the environmental stability evaluation index of each integrated wood sample, and a comprehensive analysis is performed to obtain the thermal insulation performance evaluation value of each integrated wood sample.

[0009] The thermal insulation performance index of the integrated wood is obtained according to the thermal insulation performance evaluation value of each integrated wood sample, and the integrated wood is evaluated to obtain the evaluation results and provide feedback.

[0010] As a further method, the sample specification data is processed to obtain a standard evaluation index for each integrated wood sample. The specific processing process is as follows: the sample specification data includes sample thickness, sample weight, sample width and sample moisture content.

[0011] The reference standard sample thickness, allowable deviation sample thickness, reference standard sample weight, allowable deviation sample weight, reference standard sample width, allowable deviation sample width, reference standard sample moisture content and allowable deviation sample moisture content are extracted from the integrated wood database, and the standard evaluation index of each integrated wood sample is obtained by comprehensive analysis. The corrected value of the thermal insulation performance index of the integrated wood is obtained according to the standard evaluation index of each integrated wood sample.

[0012] As a further method, the thermal performance data is processed to obtain the thermal insulation efficiency evaluation index of each integrated material sample. The specific processing process is: the thermal performance data includes heat flow, thermal resistance and equivalent thermal conductivity.

[0013] The critical heat flux, critical thermal resistance and critical equivalent thermal conductivity were extracted from the integrated wood database, and the thermal insulation efficiency evaluation index of each integrated wood sample was obtained through comprehensive analysis.

[0014] As a further method, the test environment data is processed to obtain the environmental stability evaluation index of each integrated material sample. The specific processing process is: the test environment data includes indoor temperature, indoor humidity, indoor air pressure and indoor wind speed at each time monitoring point.

[0015] The environmental stability evaluation index of each integrated wood sample is obtained through comprehensive analysis, and whether further testing is needed is determined based on the environmental stability evaluation index of each integrated wood sample.

[0016] As a further method, the environmental stability assessment index of each integrated wood sample is used to determine whether to continue testing. The specific judgment process is: extracting the environmental stability assessment threshold from the integrated wood database, comparing the environmental stability assessment index of each integrated wood sample with the environmental stability assessment threshold; if the environmental stability assessment index of a certain integrated wood sample is greater than or equal to the environmental stability assessment threshold, then continue to perform insulation testing on the integrated wood sample; if the environmental stability assessment index of a certain integrated wood sample is less than the environmental stability assessment threshold, then stop performing insulation testing on the integrated wood sample and make adjustments until the environmental stability assessment index is greater than or equal to the environmental stability assessment threshold.

[0017] As a further method, the comprehensive analysis obtains the thermal insulation performance evaluation value of each integrated wood sample. The specific analysis process is: according to the standard evaluation index, thermal insulation efficiency evaluation index and environmental stability evaluation index of each integrated wood sample, the thermal insulation performance evaluation value of each integrated wood sample is obtained by comprehensive analysis. The thermal insulation performance evaluation value of each integrated wood sample is used to quantify the thermal insulation performance of each integrated wood sample.

[0018] As a further method, the standard evaluation index of each integrated wood sample is processed to obtain a correction value of the integrated wood thermal insulation performance index. The specific processing process is: taking the average value of the standard evaluation index of each integrated wood sample to obtain an average standard evaluation index, and at the same time extracting a preset reference standard evaluation index from the integrated wood database, subtracting the average standard evaluation index from the reference standard evaluation index to obtain a deviation standard evaluation index, and inputting the deviation standard evaluation index into the integrated wood database to match and obtain the corresponding integrated wood thermal insulation performance threshold correction value.

[0019] As a further method, the thermal insulation performance index of the integrated wood is obtained according to the thermal insulation performance evaluation value of each integrated wood sample, and the integrated wood is evaluated. The specific evaluation process is: taking the average value of the thermal insulation performance evaluation value of each integrated wood sample to obtain the thermal insulation performance index of the integrated wood, and adding the initial integrated wood thermal insulation performance threshold preset in the integrated wood database and the integrated wood thermal insulation performance threshold correction value to obtain the integrated wood thermal insulation performance index threshold.

[0020] The thermal insulation performance index of the integrated timber is compared with the thermal insulation performance index threshold of the integrated timber. If the thermal insulation performance index of the integrated timber is greater than or equal to the thermal insulation performance index threshold of the integrated timber, the integrated timber is evaluated as qualified; if the thermal insulation performance index of the integrated timber is less than the thermal insulation performance index threshold of the integrated timber, the integrated timber is evaluated as unqualified.

[0021] As a further method, the thermal insulation performance evaluation value of each integrated material sample is specifically expressed as:

[0022] TP i =sinh(θ1*Tc i +θ2*Ie i +θ3*En i );

[0023] Among them, TP i represents the thermal insulation performance evaluation value of the i-th glued wood sample, Tc i represents the standard evaluation index of the i-th glued wood sample, Ie i represents the thermal insulation efficiency evaluation index of the i-th glued wood sample, En i represents the environmental stability assessment index of the i-th glued wood sample, θ1 represents the impact factor of the glued wood thermal insulation performance assessment corresponding to the set glued wood standard assessment index, θ2 represents the impact factor of the glued wood thermal insulation performance assessment corresponding to the set glued wood thermal insulation efficiency assessment index, and θ3 represents the impact factor of the glued wood thermal insulation performance assessment corresponding to the set environmental stability assessment index.

[0024] The second aspect of the present invention provides a thermal insulation test data processing and analysis system for integrated materials, including: a data acquisition module for acquiring thermal insulation test data of each integrated material sample, wherein the thermal insulation test data includes sample specification data, thermal performance data and test environment data.

[0025] The thermal insulation performance analysis module is used to process the sample specification data to obtain the standard evaluation index of each integrated wood sample, process the thermal performance data to obtain the thermal insulation efficiency evaluation index of each integrated wood sample, process the test environment data to obtain the environmental stability evaluation index of each integrated wood sample, and perform comprehensive analysis to obtain the thermal insulation performance evaluation value of each integrated wood sample.

[0026] The integrated wood evaluation module is used to obtain the integrated wood thermal insulation performance index according to the thermal insulation performance evaluation value of each integrated wood sample, and evaluate the integrated wood to obtain the evaluation result and provide feedback.

[0027] Compared with the prior art, the embodiments of the present invention have at least the following advantages or beneficial effects:

[0028] (1) The present invention provides a method and system for processing and analyzing thermal insulation test data for integrated materials, which can clarify the advantages and disadvantages of different materials in terms of thermal insulation, thereby helping designers and users to select the most suitable materials according to specific needs, helping to reduce engineering quality problems and safety hazards caused by material quality problems, and further improving market competitiveness.

[0029] (2) The present invention can timely discover and deal with potential quality defects by evaluating the standard evaluation index of each integrated material sample, and can provide a basis for adjusting parameters in the production process to optimize production efficiency and product quality, thereby improving production efficiency.

[0030] (3) The present invention helps to determine the most suitable environmental conditions for thermal insulation testing by evaluating the environmental stability evaluation index of each integrated material sample, thereby ensuring the reliability and consistency of the test results, while reducing the test errors caused by environmental factors. Furthermore, integrated materials with better environmental adaptability and thermal insulation performance can be selected, thereby improving their effects in practical applications. BRIEF DESCRIPTION OF THE DRAWINGS

[0031] The present invention is further described using the accompanying drawings, but the embodiments in the accompanying drawings do not constitute any limitation to the present invention. A person skilled in the art can obtain other drawings based on the following drawings without creative work.

[0032] Figure 1 It is a schematic diagram of the method flow of the present invention.

[0033] Figure 2 It is a schematic diagram of system module connection of the present invention.

[0034] Figure 3 It is a schematic diagram of the functional relationship between the thermal insulation performance evaluation value of each integrated wood sample of the present invention and the thermal insulation efficiency evaluation index of each integrated wood sample. DETAILED DESCRIPTION

[0035] The technical solutions in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, rather than all the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without making creative work are within the scope of protection of the present invention.

[0036] Reference Figure 1 As shown, the first aspect of the present invention provides a method for processing and analyzing thermal insulation test data for integrated materials, including: obtaining thermal insulation test data of each integrated material sample, wherein the thermal insulation test data includes sample specification data, thermal performance data and test environment data.

[0037] The sample specification data is processed to obtain the standard evaluation index of each integrated wood sample, the thermal performance data is processed to obtain the thermal insulation efficiency evaluation index of each integrated wood sample, the test environment data is processed to obtain the environmental stability evaluation index of each integrated wood sample, and a comprehensive analysis is performed to obtain the thermal insulation performance evaluation value of each integrated wood sample.

[0038] The thermal insulation performance index of the integrated wood is obtained according to the thermal insulation performance evaluation value of each integrated wood sample, and the integrated wood is evaluated to obtain the evaluation results and provide feedback.

[0039] Specifically, the sample specification data is processed to obtain the standard evaluation index of each integrated wood sample, and the specific processing process is: the sample specification data includes sample thickness, sample weight, sample width and sample moisture content.

[0040] The reference standard sample thickness, allowable deviation sample thickness, reference standard sample weight, allowable deviation sample weight, reference standard sample width, allowable deviation sample width, reference standard sample moisture content and allowable deviation sample moisture content are extracted from the integrated wood database, and the standard evaluation index of each integrated wood sample is obtained by comprehensive analysis. The corrected value of the thermal insulation performance index of the integrated wood is obtained according to the standard evaluation index of each integrated wood sample.

[0041] In a specific embodiment, integrated materials of different thicknesses have different physical and mechanical properties. By selecting the appropriate thickness, the tensile, compressive, and bending properties of the integrated materials can be optimized to meet the needs of specific application scenarios. By reasonably determining the width of the integrated materials, material utilization can be optimized and material waste can be reduced. The sample thickness and sample width can be measured using a vernier caliper. By measuring the sample weight, the difference in density between different batches or types of integrated materials can be understood, thereby selecting the material that best suits the specific application needs. The sample weight can be obtained using an electronic scale. Controlling the moisture content can ensure that the integrated materials have appropriate hardness and toughness, reduce quality problems caused by moisture changes, and the sample moisture content can be directly obtained using a moisture content meter.

[0042] Furthermore, the standard evaluation index of each glued wood sample has the following specific numerical expression:

[0043]

[0044] Among them, Tc i represents the standard evaluation index of the i-th glued wood sample, Y i represents the thickness of the i-th glulam sample, Y0 represents the reference standard sample thickness, ΔY represents the allowable deviation sample thickness, G i represents the weight of the i-th glued material sample, G0 represents the weight of the reference standard sample, ΔG represents the allowable deviation sample weight, k i represents the width of the i-th glued material sample, k0 represents the reference standard sample width, Δk represents the allowable deviation sample width, S irepresents the moisture content of the i-th glued wood sample, S0 represents the moisture content of the reference standard sample, ΔS represents the moisture content of the allowable deviation sample, ω1 represents the glued wood standard assessment impact factor corresponding to the set sample thickness, ω2 represents the glued wood standard assessment impact factor corresponding to the set sample weight, ω3 represents the glued wood standard assessment impact factor corresponding to the set sample width, ω4 represents the glued wood standard assessment impact factor corresponding to the set sample moisture content, i represents the sample number of each glued wood, i=1,2,3,...,m, and m represents the total number of glued wood samples.

[0045] The algorithm of this embodiment combines sample thickness, sample weight, sample width and sample moisture content, and comprehensively analyzes to obtain the standard evaluation index of each integrated wood sample. The sample thickness of the integrated wood usually affects its weight. When the material and density are the same, the thicker the sample, the heavier its weight is usually, because the increase in thickness means the increase in material volume, which leads to an increase in weight; similarly, the sample width will also affect its weight. When the thickness and material are the same, the wider the sample, the heavier its weight is, because the increase in width will also lead to an increase in material volume, thereby increasing the weight; the moisture content is an important indicator of the moisture content in the integrated wood sample, which directly affects the weight of the sample. When the moisture content increases, the moisture content in the sample increases, which leads to an increase in weight. Comprehensive analysis can obtain a more comprehensive standard evaluation index.

[0046] It should be explained that in this embodiment, four key factors, namely, sample thickness, sample weight, sample width and sample moisture content, are considered, which can achieve accurate control of the quality of the integrated wood product, reduce the generation of internal defects of the integrated wood, improve the overall quality of the product, and optimize the production process, reduce unnecessary waste and duplication of labor. For example, adjusting the drying process according to the change of moisture content can shorten the drying time, improve production efficiency, help reduce rework and scrap caused by quality problems, thereby reducing production costs, and ensure product stability and consistency, and improve customer satisfaction. By standardizing the sample thickness, sample weight, sample width and sample moisture content, ensuring that they are compared at the same level, the fairness and comparability of the evaluation are improved. At the same time, the setting of Y0, G0, k0 and S0 helps to avoid the quality problems of the integrated wood caused by unreasonable thickness, weight, width and moisture content. By weighting the influence of sample thickness, sample weight, sample width and sample moisture content, it reflects their relative importance in the evaluation index. The weights of different factors can be adjusted according to different needs, making the formula very adaptable. It is not difficult to see that the smaller the deviation of sample thickness, sample weight, sample width or sample moisture content, the greater the standard evaluation index of each integrated wood sample. By evaluating the standard evaluation index of each integrated wood sample, potential quality defects such as cracks, debonding, deformation, etc. can be discovered and handled in a timely manner, thereby reducing the production of defective products and improving the qualified rate of products. It can provide a basis for adjusting parameters in the production process, such as adjusting cutting processes, drying conditions, etc., to optimize production efficiency and product quality, and help to discover production bottlenecks and problems in a timely manner, take corresponding measures to improve, and thus improve production efficiency.

[0047] In a specific embodiment, the value range of the integrated wood standard evaluation influencing factor corresponding to the sample thickness, sample weight, sample width and sample moisture content is between 0 and 1, which represents the numerical value of the influence degree of the sample thickness, sample weight, sample width and sample moisture content on the integrated wood standard evaluation index. Each integrated wood standard evaluation influencing factor can be obtained from the integrated wood database. By adjusting the value of the influencing factor, the influence degree of different factors on the final integrated wood standard evaluation index can be flexibly adjusted. The corresponding relationship can be a pre-set mapping relationship. For example, the sample thickness, sample weight, sample width and sample moisture content form a mapping set with the weight factors corresponding to the sample thickness, sample weight, sample width and sample moisture content preset in the integrated wood database. The real-time sample thickness, sample weight, sample width and sample moisture content are brought into the mapping set to obtain the weight factors corresponding to the sample thickness, sample weight, sample width and sample moisture content. The mapping relationship can be a one-to-one correspondence or a many-to-one relationship.

[0048] Specifically, the thermal performance data are processed to obtain the thermal insulation efficiency evaluation index of each integrated material sample, and the specific processing process is: the thermal performance data includes heat flow, thermal resistance and equivalent thermal conductivity.

[0049] The critical heat flux, critical thermal resistance and critical equivalent thermal conductivity were extracted from the integrated wood database, and the thermal insulation efficiency evaluation index of each integrated wood sample was obtained through comprehensive analysis.

[0050] In a specific embodiment, heat flux is the amount of heat passing through a certain area per unit time. A heat source and a cooling device are provided to generate a stable temperature gradient on the sample, and a heat flux meter is applied to the surface of the tested integrated wood sample to obtain the heat flux; thermal resistance = temperature difference / heat flux, wherein the temperature difference refers to the temperature difference on both sides of the material, and the heat flux is the heat transfer rate through the material. In experimental measurements, a thermometer and a heat flux meter can be used to measure the temperature difference and the heat flux, respectively, and then substitute them into the formula to calculate the thermal resistance; the equivalent thermal conductivity can be obtained by a thermal conductivity tester.

[0051] Furthermore, the thermal insulation efficiency evaluation index of each integrated wood sample is expressed as follows:

[0052]

[0053] Among them, Ie i represents the thermal insulation efficiency evaluation index of the i-th glued wood sample, e represents the natural constant, L i represents the heat flux of the i-th glued wood sample, L0 represents the critical heat flux, z i represents the thermal resistance of the i-th integrated material sample, z0 represents the critical thermal resistance, X i represents the equivalent thermal conductivity of the i-th integrated wood sample, X0 represents the critical equivalent thermal conductivity, ρ1 represents the impact factor of the integrated wood thermal insulation efficiency evaluation corresponding to the set heat flow, ρ2 represents the impact factor of the integrated wood thermal insulation efficiency evaluation corresponding to the set thermal resistance, ρ3 represents the impact factor of the integrated wood thermal insulation efficiency evaluation corresponding to the set equivalent thermal conductivity, i represents the sample number of each integrated wood, i=1,2,3,...,m, m represents the total number of integrated wood samples.

[0054] The algorithm of this embodiment combines heat flow, thermal resistance and equivalent thermal conductivity, and comprehensively analyzes to obtain the thermal insulation efficiency evaluation index of each integrated material sample. When the temperature gradient and material area are constant, the heat flow is proportional to the equivalent thermal conductivity, that is, the larger the equivalent thermal conductivity, the larger the heat flow; when the temperature difference and material area are constant, the thermal resistance is proportional to the inverse of the equivalent thermal conductivity, that is, the larger the equivalent thermal conductivity, the smaller the thermal resistance. Comprehensive analysis can obtain a more comprehensive thermal insulation efficiency evaluation index.

[0055] Table 1 Examples of thermal insulation efficiency evaluation index data for each laminated wood sample

[0056]

[0057] As shown in Table 1, the thermal insulation efficiency evaluation index of each integrated material sample is jointly determined by the heat flow, thermal resistance and equivalent thermal conductivity. In a specific embodiment, the critical heat flow is 80W, the critical thermal resistance is 20°C / W, the critical equivalent thermal conductivity is 5W / (m·K), the thermal insulation efficiency evaluation impact factor of the integrated material corresponding to the set heat flow is 0.3, the thermal insulation efficiency evaluation impact factor of the integrated material corresponding to the set thermal resistance is 0.3, and the thermal insulation efficiency evaluation impact factor of the integrated material corresponding to the set equivalent thermal conductivity is 0.4. The formula takes into account three key factors, namely the heat flux, thermal resistance and equivalent thermal conductivity of each integrated wood sample, which helps to evaluate the thermal insulation, thermal conductivity and other properties of the material, provide a basis for the selection and application of materials, optimize the heat transfer path, reduce energy loss, improve the efficiency of engineering applications, help reduce energy consumption, improve the stability and reliability of equipment, and optimize thermal design. For example, in situations where heat dissipation is required, integrated wood with high thermal conductivity and low thermal resistance can be selected to accelerate heat transfer; in situations where thermal insulation is required, integrated wood with low thermal conductivity and high thermal resistance can be selected to reduce heat transfer, and further understand the thermal conduction mechanism of the material. By standardizing the heat flux, thermal resistance and equivalent thermal conductivity of each integrated wood sample, ensuring that they are compared at the same order of magnitude, the fairness and comparability of the evaluation are improved. At the same time, the settings of L0, z0 and X0 help avoid abnormal thermal insulation performance of integrated wood caused by excessive heat flux, low thermal resistance and excessive thermal conductivity. By weighting the influence of heat flux, thermal resistance and equivalent thermal conductivity of each integrated wood sample, their relative importance in the evaluation index is reflected. The weights of different factors can be adjusted according to different needs, making the model highly adaptable. It is not difficult to see that the smaller the heat flux, the larger the thermal resistance or the smaller the equivalent thermal conductivity, the greater the thermal insulation efficiency evaluation index. By evaluating the thermal insulation efficiency evaluation index of each integrated wood sample, integrated wood with excellent thermal insulation performance can be accurately selected to meet the requirements of thermal insulation performance for specific application scenarios, which is helpful to improve and optimize the materials and enhance their thermal insulation performance. Suitable materials can be quickly determined to avoid repeated experiments and modifications during the design process, thereby improving design efficiency. The structural layout can also be optimized according to the needs of specific application scenarios. For example, by adding insulation layers, adjusting material thickness, etc., the overall thermal insulation effect can be further improved. In addition, the use of integrated wood with excellent thermal insulation performance can effectively reduce heat transfer inside the building, thereby reducing the energy consumption of air conditioning, heating and other equipment, and achieving the goal of energy conservation and emission reduction.

[0058] In a specific embodiment, the value range of the integrated material thermal insulation efficiency evaluation influencing factors corresponding to heat flow, thermal resistance and equivalent thermal conductivity is between 0 and 1, which represents the numerical value of the influence of heat flow, thermal resistance and equivalent thermal conductivity on the integrated material thermal insulation efficiency evaluation index. Each integrated material thermal insulation efficiency evaluation influencing factor can be obtained from the integrated material database. By adjusting the value of the influencing factor, the influence of different factors on the final integrated material thermal insulation efficiency evaluation index can be flexibly adjusted. The corresponding relationship can be a pre-set mapping relationship. For example, heat flow, thermal resistance and equivalent thermal conductivity form a mapping set with the weight factors corresponding to the heat flow, thermal resistance and equivalent thermal conductivity preset in the integrated material database. The real-time heat flow, thermal resistance and equivalent thermal conductivity are brought into the mapping set to obtain the weight factors corresponding to the heat flow, thermal resistance and equivalent thermal conductivity. The mapping relationship can be a one-to-one correspondence or a many-to-one relationship.

[0059] Specifically, the test environment data are processed to obtain the environmental stability evaluation index of each integrated wood sample, and the specific processing process is: the test environment data includes indoor temperature, indoor humidity, indoor air pressure and indoor wind speed at each time monitoring point.

[0060] The environmental stability evaluation index of each integrated wood sample is obtained through comprehensive analysis, and whether further testing is needed is determined based on the environmental stability evaluation index of each integrated wood sample.

[0061] In a specific embodiment, by monitoring the changes in indoor temperature, the thermal insulation performance of the integrated material can be intuitively evaluated. Under the same external conditions, the smaller the indoor temperature fluctuation, the better the thermal insulation performance of the material. The indoor temperature can be obtained through a thermometer; by monitoring the indoor humidity, humidity abnormalities can be discovered in time, and corresponding measures can be taken to adjust them to maintain the stability of the indoor humidity. The indoor humidity can be obtained through a hygrometer; by monitoring the indoor air pressure, airtightness problems can be discovered in time, and corresponding measures can be taken to repair them. The indoor air pressure can be obtained through a barometer; wind speed is one of the key factors affecting indoor ventilation effects. By monitoring the indoor wind speed, the effectiveness of the ventilation system can be evaluated and adjusted according to actual conditions. The indoor wind speed can be obtained through an anemometer.

[0062] Furthermore, the environmental stability evaluation index of each integrated wood sample is expressed as follows:

[0063]

[0064] Among them, En i represents the environmental stability evaluation index of the i-th glued wood sample, T ij represents the indoor temperature of the i-th glued wood sample at the j-th time monitoring point, H ij represents the indoor humidity of the i-th glued wood sample at the j-th time monitoring point, yij represents the indoor air pressure at the jth time monitoring point of the i-th glued wood sample, F ij represents the indoor wind speed at the jth time monitoring point of the ith integrated wood sample, β1 represents the environmental stability assessment influencing factor corresponding to the set indoor temperature, β2 represents the environmental stability assessment influencing factor corresponding to the set indoor humidity, β3 represents the environmental stability assessment influencing factor corresponding to the set indoor air pressure, β4 represents the environmental stability assessment influencing factor corresponding to the set indoor wind speed, i represents the number of each integrated wood sample, i=1,2,3,...,m, m represents the total number of integrated wood samples, j represents the number of each time monitoring point, j=1,2,3,...,n, n represents the total number of time monitoring points.

[0065] The algorithm of this embodiment combines the indoor temperature, indoor humidity, indoor air pressure and indoor wind speed at each time monitoring point, and comprehensively analyzes to obtain the environmental stability evaluation index of each integrated wood sample. Indoor temperature and humidity are two parameters that influence each other. Usually, when the temperature rises, the water vapor capacity in the air will also increase, resulting in a decrease in humidity; at the same time, as the temperature rises, the thermal motion of air molecules intensifies, resulting in a slight increase in air pressure; humidity itself does not directly affect air pressure, but changes in humidity may affect air density and temperature, thereby indirectly affecting air pressure, and changes in air pressure may affect the water vapor content and relative humidity in the air. For example, when the air pressure decreases, water vapor in the air may more easily condense into water droplets, resulting in a decrease in humidity; an increase in wind speed can promote air flow and accelerate the exchange of heat and humidity. A more comprehensive environmental stability evaluation index can be obtained through comprehensive analysis.

[0066] It should be explained that four key factors are considered in this embodiment, namely, indoor temperature, indoor humidity, indoor air pressure and indoor wind speed at each time monitoring point. If it is found that a certain environmental factor has a significant impact on the test results, the test parameters can be adjusted according to the monitoring results to optimize the test conditions. At the same time, different environmental factors may have different effects on thermal insulation performance. Comprehensive consideration of these factors can result in more accurate test results. By understanding the thermal insulation performance of the integrated material under different environmental conditions, guidance can be provided for the selection of materials, and the monitoring results can also provide improvement suggestions for the design of the integrated material. For example, if it is found that air pressure has a significant impact on thermal insulation performance, it can be considered to add an air pressure regulation mechanism to the material design to improve its thermal insulation performance. By standardizing the indoor temperature, indoor humidity, indoor air pressure and indoor wind speed, it is ensured that they are compared at the same magnitude, which improves the fairness and comparability of the evaluation. By weighting the impact of indoor temperature, indoor humidity, indoor air pressure and indoor wind speed, it reflects their relative importance in the evaluation index. The weights of different factors can be adjusted according to different needs, making the formula very adaptable. It is not difficult to see that the smaller the deviation of indoor temperature, indoor humidity, indoor air pressure or indoor wind speed, the greater the environmental stability evaluation index. By evaluating the environmental stability evaluation index of each integrated wood sample, it is helpful to determine the most suitable environmental conditions for thermal insulation testing, which can ensure the reliability and consistency of the test results, while reducing the test errors caused by environmental factors, and can more comprehensively evaluate the thermal insulation performance of integrated wood under different environmental conditions, thereby improving the accuracy and reliability of the test, and further selecting integrated wood with better environmental adaptability and thermal insulation performance, thereby improving its effect in practical applications.

[0067] In a specific embodiment, the value range of the environmental stability assessment influencing factor corresponding to the indoor temperature, indoor humidity, indoor air pressure and indoor wind speed is between 0 and 1, which represents the numerical value of the influence degree of the indoor temperature, indoor humidity, indoor air pressure and indoor wind speed on the environmental stability assessment index. Each environmental stability assessment influencing factor can be obtained from the integrated material database. By adjusting the value of the influencing factor, the influence degree of different factors on the final integrated material environmental stability assessment index can be flexibly adjusted. The corresponding relationship can be a pre-set mapping relationship. For example, the indoor temperature, indoor humidity, indoor air pressure and indoor wind speed form a mapping set with the weight factors corresponding to the indoor temperature, indoor humidity, indoor air pressure and indoor wind speed preset in the integrated material database. The real-time indoor temperature, indoor humidity, indoor air pressure and indoor wind speed are brought into the mapping set to obtain the weight factors corresponding to the indoor temperature, indoor humidity, indoor air pressure and indoor wind speed. The mapping relationship can be a one-to-one correspondence or a many-to-one relationship.

[0068] Furthermore, whether to continue testing is determined based on the environmental stability assessment index of each integrated wood sample. The specific judgment process is: extract the environmental stability assessment threshold from the integrated wood database, compare the environmental stability assessment index of each integrated wood sample with the environmental stability assessment threshold, if the environmental stability assessment index of a certain integrated wood sample is greater than or equal to the environmental stability assessment threshold, continue to perform insulation testing on the integrated wood sample, if the environmental stability assessment index of a certain integrated wood sample is less than the environmental stability assessment threshold, stop performing insulation testing on the integrated wood sample and adjust the indoor temperature, indoor humidity, indoor air pressure and indoor wind speed until the environmental stability assessment index is greater than or equal to the environmental stability assessment threshold.

[0069] In a specific embodiment, the indoor temperature, indoor humidity, indoor air pressure and indoor wind speed are compared with the reference standard temperature, reference standard humidity, reference standard air pressure and reference standard wind speed respectively and the difference is made. If the difference is positive, it is adjusted down; if the difference is negative, it is adjusted up; if the difference is zero, no additional operation is performed.

[0070] Specifically, a comprehensive analysis is performed to obtain a thermal insulation performance evaluation value of each integrated wood sample. The specific analysis process is: based on the standard evaluation index, thermal insulation efficiency evaluation index and environmental stability evaluation index of each integrated wood sample, a comprehensive analysis is performed to obtain a thermal insulation performance evaluation value of each integrated wood sample. The thermal insulation performance evaluation value of each integrated wood sample is used to quantify the thermal insulation performance of each integrated wood sample.

[0071] Furthermore, the thermal insulation performance evaluation value of each integrated wood sample is expressed as follows:

[0072] TP i =sinh(θ1*Tc i +θ2*Ie i +θ3*En i );

[0073] Among them, TP i represents the thermal insulation performance evaluation value of the i-th glued wood sample, Tc i represents the standard evaluation index of the i-th glued wood sample, Ie i represents the thermal insulation efficiency evaluation index of the i-th glued wood sample, En i represents the environmental stability assessment index of the i-th glued wood sample, θ1 represents the impact factor of the glued wood thermal insulation performance assessment corresponding to the set glued wood standard assessment index, θ2 represents the impact factor of the glued wood thermal insulation performance assessment corresponding to the set glued wood thermal insulation efficiency assessment index, and θ3 represents the impact factor of the glued wood thermal insulation performance assessment corresponding to the set environmental stability assessment index.

[0074] like Figure 3As shown, in a specific embodiment, θ1 = 0.4, θ2 = 0.3, θ3 = 0.4, Tc i =0.5. When En i =0.1, the functional relationship between the thermal insulation performance evaluation value of each integrated wood sample and the thermal insulation efficiency evaluation index of each integrated wood sample is shown in curve a; when En i =0.5, the functional relationship between the thermal insulation performance evaluation value of each integrated wood sample and the thermal insulation efficiency evaluation index of each integrated wood sample is shown in curve b; when En i =1, the functional relationship between the thermal insulation performance evaluation value of each integrated wood sample and the thermal insulation efficiency evaluation index of each integrated wood sample is shown in curve c.

[0075] The algorithm of this embodiment combines the standard evaluation index, thermal insulation efficiency evaluation index and environmental stability evaluation index of each integrated wood sample, and comprehensively analyzes to obtain the thermal insulation performance evaluation value of each integrated wood sample. The standard evaluation index is the basis of the thermal insulation efficiency evaluation index and the environmental stability evaluation index. Only integrated wood that meets the basic quality requirements can have guaranteed thermal insulation performance and environmental stability. The thermal insulation efficiency of the integrated wood is restricted by the environmental stability evaluation index. For example, under extreme environmental conditions, the thermal insulation performance of the material may change, thereby affecting the thermal insulation efficiency evaluation index. Comprehensive analysis can obtain more comprehensive, accurate and in-depth thermal insulation performance evaluation values.

[0076] It should be explained that three key factors are considered in this embodiment, namely the standard evaluation index, thermal insulation efficiency evaluation index and environmental stability evaluation index of each integrated material sample, which can provide a more comprehensive understanding of the various performance characteristics of the integrated material, so as to more accurately select materials that meet specific application scenarios and needs, which is helpful to achieve the optimization of performance and cost. The overall performance level of the integrated material can be improved by improving the production process, improving material performance and other measures, and the quality of the product and user experience can be improved. High-quality integrated materials not only have excellent physical and chemical properties, but also can maintain stable performance under different environmental conditions, further improving user satisfaction and loyalty. By weighting the influence of the standard evaluation index, thermal insulation efficiency evaluation index and environmental stability evaluation index of each integrated material sample, it reflects their relative importance in the evaluation index. The weights of different factors can be adjusted according to different needs, so that the formula has good adaptability. It is not difficult to see that the larger the standard evaluation index, thermal insulation efficiency evaluation index or environmental stability evaluation index, the larger the thermal insulation performance evaluation value. By evaluating the thermal insulation performance evaluation values ​​of each integrated material sample, the advantages and disadvantages of different materials in terms of thermal insulation can be clarified, thereby helping designers and users to choose the most suitable materials according to specific needs. This can not only meet the thermal insulation needs of buildings or equipment, but also reduce energy consumption and improve energy efficiency. It can also ensure that the selected materials meet the engineering design and construction requirements, thereby ensuring the quality of the project, helping to reduce engineering quality problems and safety hazards caused by material quality problems, and further improving market competitiveness.

[0077] In a specific embodiment, the value range of the composite material thermal insulation performance evaluation influencing factors corresponding to the composite material standard evaluation index, the composite material thermal insulation efficiency evaluation index and the composite material environmental stability evaluation index is between 0 and 1, which represents the numerical value of the influence of the composite material standard evaluation index, the composite material thermal insulation efficiency evaluation index and the composite material environmental stability evaluation index on the composite material thermal insulation performance evaluation value. Each composite material thermal insulation performance evaluation influencing factor can be obtained from the composite material database. By adjusting the value of the influencing factor, the influence of different factors on the final composite material thermal insulation performance evaluation value can be flexibly adjusted. The corresponding relationship can be preset. For example, the standard evaluation index of integrated materials, the thermal insulation efficiency evaluation index of integrated materials and the environmental stability evaluation index of integrated materials are mapped with the weight factors corresponding to the standard evaluation index of integrated materials, the thermal insulation efficiency evaluation index of integrated materials and the environmental stability evaluation index of integrated materials preset in the integrated materials database to form a mapping set, and the real-time standard evaluation index of integrated materials, the thermal insulation efficiency evaluation index of integrated materials and the environmental stability evaluation index of integrated materials are brought into the mapping set to obtain the weight factors corresponding to the standard evaluation index of integrated materials, the thermal insulation efficiency evaluation index of integrated materials and the environmental stability evaluation index of integrated materials, wherein the mapping relationship can be a one-to-one correspondence or a many-to-one relationship.

[0078] In a specific embodiment, a correction value of the thermal insulation performance index of the integrated wood is obtained according to the standard evaluation index of each integrated wood sample. The specific processing process is: taking the average value of the standard evaluation index of each integrated wood sample to obtain an average standard evaluation index, and at the same time extracting a preset reference standard evaluation index from the integrated wood database, subtracting the average standard evaluation index from the reference standard evaluation index to obtain a deviation standard evaluation index, and inputting the deviation standard evaluation index into the integrated wood database to match and obtain the corresponding correction value of the thermal insulation performance threshold of the integrated wood.

[0079] It needs to be explained that the deviation standard evaluation index and the integrated wood thermal insulation performance threshold correction value preset in the integrated wood database form a mapping set, and the real-time deviation standard evaluation index is brought into the mapping set to obtain the integrated wood thermal insulation performance threshold correction value corresponding to the deviation standard evaluation index.

[0080] Specifically, the thermal insulation performance index of the integrated wood is obtained according to the thermal insulation performance evaluation value of each integrated wood sample, and the integrated wood is evaluated. The specific evaluation process is: the thermal insulation performance index of the integrated wood is obtained by taking the average value of the thermal insulation performance evaluation value of each integrated wood sample, and the thermal insulation performance threshold of the integrated wood is obtained by adding the initial integrated wood thermal insulation performance threshold preset in the integrated wood database and the integrated wood thermal insulation performance threshold correction value.

[0081] The thermal insulation performance index of the integrated timber is compared with the thermal insulation performance index threshold of the integrated timber. If the thermal insulation performance index of the integrated timber is greater than or equal to the thermal insulation performance index threshold of the integrated timber, the integrated timber is evaluated as qualified; if the thermal insulation performance index of the integrated timber is less than the thermal insulation performance index threshold of the integrated timber, the integrated timber is evaluated as unqualified.

[0082] Reference Figure 2 As shown, the second aspect of the present invention provides a thermal insulation test data processing and analysis system for integrated materials, including: a data acquisition module for acquiring thermal insulation test data of each integrated material sample, the thermal insulation test data including sample specification data, thermal performance data and test environment data.

[0083] The thermal insulation performance analysis module is used to process the sample specification data to obtain the standard evaluation index of each integrated wood sample, process the thermal performance data to obtain the thermal insulation efficiency evaluation index of each integrated wood sample, process the test environment data to obtain the environmental stability evaluation index of each integrated wood sample, and perform comprehensive analysis to obtain the thermal insulation performance evaluation value of each integrated wood sample.

[0084] The integrated wood evaluation module is used to obtain the integrated wood thermal insulation performance index according to the thermal insulation performance evaluation value of each integrated wood sample, and evaluate the integrated wood to obtain the evaluation result and provide feedback.

[0085] The integrated material database is used to store integrated material related data, including: reference standard sample thickness, allowable deviation sample thickness, reference standard sample weight, allowable deviation sample weight, reference standard sample width, allowable deviation sample width, reference standard sample moisture content, allowable deviation sample moisture content, critical heat flux, critical thermal resistance, critical equivalent thermal conductivity, environmental stability assessment influencing factor corresponding to the set indoor temperature, environmental stability assessment influencing factor corresponding to the set indoor humidity, environmental stability assessment influencing factor corresponding to the set indoor air pressure, environmental stability assessment influencing factor corresponding to the set indoor wind speed, integrated material thermal insulation performance assessment influencing factor corresponding to the set integrated material standard assessment index, integrated material thermal insulation performance assessment influencing factor corresponding to the set integrated material thermal insulation efficiency assessment index, integrated material thermal insulation performance assessment influencing factor corresponding to the set environmental stability assessment index, environmental stability assessment threshold and integrated material thermal insulation performance index correction value and other indicators.

[0086] The above contents are merely examples and explanations of the structure of the present invention. The technicians in this technical field may make various modifications or additions to the specific embodiments described or replace them in a similar manner. As long as they do not deviate from the structure of the invention or exceed the scope defined by the present invention, they should all fall within the protection scope of the present invention.

Claims

1. A method for processing and analyzing thermal insulation test data for integrated materials, characterized in that: include: Acquire thermal insulation test data of each integrated wood sample, wherein the thermal insulation test data includes sample specification data, thermal performance data and test environment data; The sample specification data is processed to obtain the standard evaluation index of each integrated wood sample, the thermal performance data is processed to obtain the thermal insulation efficiency evaluation index of each integrated wood sample, the test environment data is processed to obtain the environmental stability evaluation index of each integrated wood sample, and the thermal insulation performance evaluation value of each integrated wood sample is obtained through comprehensive analysis; The thermal insulation performance index of the integrated wood is obtained according to the thermal insulation performance evaluation value of each integrated wood sample, and the integrated wood is evaluated to obtain the evaluation results and provide feedback.

2. The thermal insulation test data processing and analysis method for integrated materials according to claim 1, characterized in that: The sample specification data is processed to obtain the standard evaluation index of each integrated wood sample, and the specific processing process is as follows: The sample specification data includes sample thickness, sample weight, sample width and sample moisture content; The reference standard sample thickness, allowable deviation sample thickness, reference standard sample weight, allowable deviation sample weight, reference standard sample width, allowable deviation sample width, reference standard sample moisture content and allowable deviation sample moisture content are extracted from the integrated wood database, and the standard evaluation index of each integrated wood sample is obtained by comprehensive analysis. The corrected value of the thermal insulation performance index of the integrated wood is obtained according to the standard evaluation index of each integrated wood sample.

3. The thermal insulation test data processing and analysis method for integrated materials according to claim 1, characterized in that: The thermal performance data is processed to obtain the thermal insulation efficiency evaluation index of each integrated wood sample, and the specific processing process is as follows: The thermal performance data include heat flow, thermal resistance and equivalent thermal conductivity; The critical heat flux, critical thermal resistance and critical equivalent thermal conductivity were extracted from the integrated wood database, and the thermal insulation efficiency evaluation index of each integrated wood sample was obtained through comprehensive analysis.

4. The thermal insulation test data processing and analysis method for integrated materials according to claim 1, characterized in that: The test environment data is processed to obtain the environmental stability evaluation index of each integrated wood sample, and the specific processing process is as follows: The test environment data includes indoor temperature, indoor humidity, indoor air pressure and indoor wind speed at each time monitoring point; The environmental stability evaluation index of each integrated wood sample is obtained through comprehensive analysis, and whether further testing is needed is determined based on the environmental stability evaluation index of each integrated wood sample.

5. The thermal insulation test data processing and analysis method for integrated materials according to claim 4, characterized in that: The environmental stability evaluation index of each integrated wood sample is used to determine whether further testing is required. The specific determination process is as follows: The environmental stability assessment threshold is extracted from the integrated wood database, and the environmental stability assessment index of each integrated wood sample is compared with the environmental stability assessment threshold. If the environmental stability assessment index of a certain integrated wood sample is greater than or equal to the environmental stability assessment threshold, the thermal insulation test of the integrated wood sample will continue. If the environmental stability assessment index of a certain integrated wood sample is less than the environmental stability assessment threshold, the thermal insulation test of the integrated wood sample will be stopped and adjustments will be made until the environmental stability assessment index is greater than or equal to the environmental stability assessment threshold.

6. The thermal insulation test data processing and analysis method for integrated materials according to claim 2, characterized in that: The comprehensive analysis obtains the thermal insulation performance evaluation value of each integrated wood sample, and the specific analysis process is as follows: According to the standard evaluation index, thermal insulation efficiency evaluation index and environmental stability evaluation index of each integrated wood sample, a comprehensive analysis is performed to obtain the thermal insulation performance evaluation value of each integrated wood sample, and the thermal insulation performance evaluation value of each integrated wood sample is used to quantify the thermal insulation performance of each integrated wood sample.

7. The thermal insulation test data processing and analysis method for integrated materials according to claim 2, characterized in that: The thermal insulation performance index correction value of the laminated wood is obtained by processing the standard evaluation index of each laminated wood sample. The specific processing process is: The standard evaluation index of each integrated wood sample is averaged to obtain the average standard evaluation index. At the same time, the preset reference standard evaluation index is extracted from the integrated wood database. The average standard evaluation index is subtracted from the reference standard evaluation index to obtain the deviation standard evaluation index. The deviation standard evaluation index is input into the integrated wood database to match and obtain the corresponding integrated wood thermal insulation performance threshold correction value.

8. The thermal insulation test data processing and analysis method for integrated materials according to claim 7, characterized in that: The thermal insulation performance index of the integrated wood is obtained according to the thermal insulation performance evaluation value of each integrated wood sample, and the integrated wood is evaluated. The specific evaluation process is as follows: The thermal insulation performance evaluation values ​​of each integrated wood sample are averaged to obtain the integrated wood thermal insulation performance index, and the initial integrated wood thermal insulation performance threshold value preset in the integrated wood database is added to the integrated wood thermal insulation performance threshold correction value to obtain the integrated wood thermal insulation performance index threshold value; The thermal insulation performance index of the integrated timber is compared with the thermal insulation performance index threshold of the integrated timber. If the thermal insulation performance index of the integrated timber is greater than or equal to the thermal insulation performance index threshold of the integrated timber, the integrated timber is evaluated as qualified; if the thermal insulation performance index of the integrated timber is less than the thermal insulation performance index threshold of the integrated timber, the integrated timber is evaluated as unqualified.

9. The thermal insulation test data processing and analysis method for integrated materials according to claim 6, characterized in that: The specific numerical expression of the thermal insulation performance evaluation value of each integrated material sample is: TP i =sinh(θ1*Tc i +θ2*Ie i +θ3*En i ); Among them, TP i represents the thermal insulation performance evaluation value of the i-th glued wood sample, Tc i represents the standard evaluation index of the i-th glued wood sample, Ie i represents the thermal insulation efficiency evaluation index of the i-th glued wood sample, En i represents the environmental stability assessment index of the i-th glued wood sample, θ1 represents the impact factor of the glued wood thermal insulation performance assessment corresponding to the set glued wood standard assessment index, θ2 represents the impact factor of the glued wood thermal insulation performance assessment corresponding to the set glued wood thermal insulation efficiency assessment index, and θ3 represents the impact factor of the glued wood thermal insulation performance assessment corresponding to the set environmental stability assessment index.

10. A thermal insulation test data processing and analysis system for integrated materials, characterized in that: include: A data acquisition module, used to obtain thermal insulation test data of each integrated wood sample, wherein the thermal insulation test data includes sample specification data, thermal performance data and test environment data; The thermal insulation performance analysis module is used to process the sample specification data to obtain the standard evaluation index of each integrated wood sample, process the thermal performance data to obtain the thermal insulation efficiency evaluation index of each integrated wood sample, process the test environment data to obtain the environmental stability evaluation index of each integrated wood sample, and comprehensively analyze to obtain the thermal insulation performance evaluation value of each integrated wood sample; The integrated wood evaluation module is used to obtain the integrated wood thermal insulation performance index according to the thermal insulation performance evaluation value of each integrated wood sample, and evaluate the integrated wood to obtain the evaluation result and provide feedback.

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