Energy-saving and environment-friendly curtain wall material quality detection method based on heat conduction test

Abstract

The invention relates to the technical field of curtain wall material detection, in particular to an energy-saving and environment-friendly curtain wall material quality detection method based on a heat conduction test. Therefore, the characteristic parameter factors and the temperature influence factors can be accurately calculated, the abnormal risk tendency labels can be effectively divided according to the change of the temperature influence factors corresponding to the curtain wall material to be detected, and the operation state of the quality detection of the curtain wall material to be detected is monitored. The situation that the detection result is inaccurate due to the difference of the heat conduction speeds of curtain wall materials made of different materials is overcome, and the quality detection efficiency is improved; by determining whether the temperature compensation device is started or not, the situation that energy is wasted due to the fact that the temperature compensation device is started due to the fact that detection of curtain wall materials of different materials is affected by different environment temperatures is avoided, and the environment-friendly and energy-saving performance of quality detection is improved.

Description

Technical Field

[0001] The invention relates to the technical field of curtain wall material detection, and in particular to an energy-saving and environment-friendly curtain wall material quality detection method based on heat conduction test. Background Art

[0002] With the continuous improvement of energy-saving requirements for buildings, the quality inspection of energy-saving and environmentally friendly curtain wall materials has become particularly important. The thermal conductivity of curtain wall materials directly affects the energy-saving effect of buildings and the comfort of indoor environment. Moreover, the development and application of efficient thermal conductivity testing methods are of great significance to ensure the quality of curtain wall materials. Curtain wall materials of different materials are affected by the environment to different degrees and require different testing times to ensure the accuracy and efficiency of the test results. Therefore, by optimizing the testing time and intelligently controlling the influence of ambient temperature, the efficiency and accuracy of the quality inspection of curtain wall materials of various materials can be effectively improved.

[0003] Chinese patent publication number: CN 116698908 B, discloses a curtain wall glass thermal insulation performance test room detection device, including a bottom plate, a support shaft is fixed on the top surface of the bottom plate, a rotating drum is sleeved on the top of the support shaft, a detection main support assembly is fixed on the top of the rotating drum, the detection main support assembly is a cross-shaped structure, the detection main support assembly includes a main frame, a first detection plate and a second detection plate, the main frame is connected to the top of the rotating drum, both ends of the main frame are connected to a surface thermal insulation detection mechanism, the two groups of surface thermal insulation detection mechanisms are mirror-set, the side wall of the main frame is fixed with a first detection plate and a second detection plate, the first detection plate and the second detection plate are spaced and parallel to each other. The present invention drives the curtain wall glass to transfer between the two groups of surface thermal insulation detection mechanisms through a transfer mechanism, and the thermal insulation detection mechanism performs multi-point detection on the curtain wall glass during the transfer process, thereby improving the diversity of the thermal insulation detection position, thereby ensuring the accuracy of the thermal insulation performance detection of the curtain wall glass.

[0004] However, the prior art still has the following problems:

[0005] Failure to consider the differences in heat conduction rates of curtain wall materials of different materials leads to different heating rates of the heating plates used in the quality inspection of curtain wall materials of different materials, resulting in inaccurate test results and low efficiency of heat conduction test analysis for curtain wall material quality inspection;

[0006] Failure to consider that curtain wall materials of different materials are affected by ambient temperature in different ways results in the temperature compensation device being kept on all the time, causing energy waste and resulting in low environmental protection and energy saving. Summary of the invention

[0007] To this end, the present invention provides an energy-saving and environment-friendly curtain wall material quality detection method based on heat conduction test to overcome the problems not considered in the prior art.

[0008] To achieve the above object, the present invention provides an energy-saving and environment-friendly curtain wall material quality detection method based on heat conduction test, comprising:

[0009] Obtain thermal images of curtain wall materials of various materials heated by the heating plate to extract the temperature change time domain curves of the quality inspection of curtain wall materials of various materials;

[0010] Based on the temperature change time domain curve of each material curtain wall material, extract the characteristic parameter factor and temperature influencing factor of each material curtain wall material detection;

[0011] Obtain the temperature impact factor corresponding to the curtain wall material to be tested, and determine the risk highlighting characterization value based on the change of the temperature impact factor;

[0012] Based on the risk highlighting characterization value, abnormal risk tendency labels are divided to monitor the operating status of the curtain wall material quality inspection to be tested, including:

[0013] Determine whether there is equipment abnormality based on the change of the characteristic parameter factor of the curtain wall material to be tested, so as to determine the heating rate of the heating plate;

[0014] Or, determining whether to start the temperature compensation device based on the change of the risk highlighting characterization value;

[0015] The characteristic parameter factor is calculated based on the thermal conductivity and specific heat of the curtain wall material, and the temperature influence factor is calculated based on the temperature change peak value and the temperature change duration.

[0016] Furthermore, the process of calculating the characteristic parameter factors of each material curtain wall material detection includes:

[0017] Calculate the thermal conductivity and specific heat of a single curtain wall material;

[0018] determining a ratio of the thermal conductivity to a predetermined thermal conductivity threshold as a first characteristic parameter factor;

[0019] determining a ratio of the specific heat to a predetermined specific heat threshold as a second characteristic parameter factor;

[0020] Determine the sum of the first characteristic parameter factor and the second characteristic parameter factor as the characteristic parameter factor of the material;

[0021] The materials are associated with the characteristic parameter factors and stored.

[0022] Furthermore, the process of calculating the temperature influence factor of each curtain wall material includes:

[0023] Extract the temperature change peak value and temperature change duration of a single curtain wall material;

[0024] Calculating a ratio of the temperature change peak value to a predetermined temperature threshold as a first temperature influencing factor;

[0025] Calculating a ratio of the temperature change duration to a predetermined duration threshold as a second temperature influencing factor;

[0026] Determine the temperature influence factor of the material by taking a weighted sum of the first temperature influence factor and the second temperature influence factor;

[0027] The association between each material and the temperature influencing factor is established and stored.

[0028] Furthermore, the process of determining the risk salience characterization value includes:

[0029] Conduct several tests on the material to be tested and determine the temperature influence factor corresponding to each test;

[0030] The difference between the maximum temperature influence factor and the minimum temperature influence factor is determined as the variation mean;

[0031] The ratio of the change mean of the temperature influence factor to a predetermined temperature change threshold is determined as the risk highlighting characterization value.

[0032] Furthermore, the process of classifying abnormal risk tendency labels includes:

[0033] If the risk prominence characterization value is less than a predetermined risk prominence characterization value threshold, it is determined to be a first abnormal risk tendency label;

[0034] If the risk prominence characterization value is greater than or equal to a predetermined risk prominence characterization value threshold, it is determined to be a second abnormal risk tendency label.

[0035] Furthermore, the process of monitoring the operating status of the curtain wall material quality test includes:

[0036] If it is determined to be the first abnormal risk tendency label, whether there is equipment abnormality is determined based on the change of the characteristic parameter factor of the curtain wall material to be tested, so as to determine the heating rate of the heating plate;

[0037] If it is determined to be the second abnormal risk tendency label, whether to turn on the temperature compensation device is determined based on the change of the risk highlighting characterization value.

[0038] Further, the process of determining whether to turn on the temperature compensation device includes:

[0039] Calculate the change in the risk highlighting characterization value of the curtain wall material to be tested;

[0040] If the change in the risk highlighting characterization value is less than a predetermined change threshold, it is determined not to start the temperature compensation device.

[0041] Further, the process of determining whether there is a device abnormality includes:

[0042] Calculate the difference between the characteristic parameter factor of the curtain wall material of the material to be tested and the characteristic parameter factor associated with the material to be tested;

[0043] If the difference is greater than or equal to a predetermined characteristic parameter change threshold, it is determined that there is an equipment abnormality.

[0044] Further, the process of determining the heating rate of the heating plate includes,

[0045] The heating rate of the heating plate is increased, and the increase is positively correlated with the difference.

[0046] Furthermore, the process of obtaining thermal images of curtain wall materials of various materials heated by the heating plate includes:

[0047] Use heating panels to heat single-material curtain wall materials;

[0048] Use an infrared thermal imager to photograph the heated curtain wall material to obtain a thermal image of a single material;

[0049] The thermal images of the curtain wall materials of each material are obtained in turn.

[0050] Compared with the prior art, the present invention can obtain the temperature change time domain curve of each material curtain wall material through heating test, so as to accurately extract the characteristic parameter factor and the temperature influencing factor, and can effectively divide the abnormal risk tendency label through the change of the temperature influencing factor corresponding to the curtain wall material to be tested, monitor the running state of the quality detection of the curtain wall material to be tested, so as to comprehensively evaluate the thermal conductivity performance of the material, and overcome the problem that the difference in thermal conduction speed of curtain wall materials of different materials leads to different heating rates of heating plates for quality detection of curtain wall materials of different materials, resulting in inaccurate detection results, and resulting in low efficiency of thermal conduction test analysis for curtain wall material quality detection, thereby improving the efficiency of quality detection; by determining whether to turn on the temperature compensation device, the different environmental temperature influences on the detection of curtain wall materials of different materials are overcome, resulting in energy waste caused by the temperature compensation device being turned on all the time, thereby improving the environmental protection and energy saving of quality detection.

[0051] In particular, the present invention divides abnormal risk tendency labels by risk highlighting characterization values, can timely discover abnormal ambient temperature or abnormal detection equipment, and can accurately determine whether there is an abnormal ambient temperature tendency through the change of risk highlighting characterization values, thereby determining whether to turn on the temperature compensation device. This method reduces unnecessary energy consumption by accurately controlling whether to turn on temperature compensation, meets the requirements of energy conservation and environmental protection, and improves the environmental protection and energy saving of quality detection.

[0052] In particular, the present invention can quickly obtain risk-prominent characterization values ​​through changes in temperature influencing factors, and can accurately classify abnormal risk tendency labels through risk-prominent characterization values, thereby reducing the occurrence of human operation errors and improving detection efficiency and reliability.

[0053] In particular, the present invention can effectively determine whether there is an abnormal tendency of the detection equipment through the changes in the characteristic parameter factors of the curtain wall material including the changes in the thermal conductivity and thickness, thereby reducing the occurrence of misjudgments caused by abnormal detection equipment and improving the efficiency of quality detection of curtain wall materials.

[0054] In particular, the present invention overcomes the problem of inaccurate detection results due to differences in heat conduction rates of curtain wall materials of different materials, resulting in different heating rates of heating plates for quality detection of curtain wall materials of different materials, and low efficiency of heat conduction test analysis for curtain wall material quality detection, by determining the heating rate of the heating plate. BRIEF DESCRIPTION OF THE DRAWINGS

[0055] Figure 1 This is a flow chart of the steps of the energy-saving and environment-friendly curtain wall material quality detection method based on heat conduction test according to an embodiment of the present invention;

[0056] Figure 2 A flowchart of the steps of extracting characteristic parameter factors of curtain wall materials of various materials according to an embodiment of the present invention;

[0057] Figure 3 A flowchart of the steps of extracting the temperature influence factors of curtain wall materials of various materials according to an embodiment of the present invention;

[0058] Figure 4 This is a decision logic diagram for classifying abnormal risk tendency labels according to an embodiment of the present invention. DETAILED DESCRIPTION

[0059] In order to make the objects and advantages of the present invention more clearly understood, the present invention is further described below in conjunction with embodiments; it should be understood that the specific embodiments described herein are only used to explain the present invention and are not used to limit the present invention.

[0060] The preferred embodiments of the present invention are described below with reference to the accompanying drawings. It should be understood by those skilled in the art that these embodiments are only used to explain the technical principles of the present invention and are not intended to limit the protection scope of the present invention.

[0061] See also Figure 1 As shown, it is a flow chart of the steps of an energy-saving and environmentally friendly curtain wall material quality detection method based on thermal conductivity test according to an embodiment of the present invention. The present invention provides an energy-saving and environmentally friendly curtain wall material quality detection method based on thermal conductivity test, comprising:

[0062] Step S1, obtaining a thermal image of each material of the curtain wall material heated by a heating plate to extract a time domain curve of temperature change for quality detection of each material of the curtain wall material;

[0063] Step S2, based on the temperature change time domain curve of each material curtain wall material, extracting the characteristic parameter factor and temperature influence factor of each material curtain wall material detection;

[0064] Step S3, obtaining the temperature influence factor corresponding to the curtain wall material to be tested, and determining the risk highlighting characterization value based on the change of the temperature influence factor;

[0065] Step S4, dividing abnormal risk tendency labels based on the risk highlighting characterization value, and monitoring the running status of the curtain wall material quality detection to be tested, including:

[0066] Determine whether there is equipment abnormality based on the change of the characteristic parameter factor of the curtain wall material to be tested, so as to determine the heating rate of the heating plate;

[0067] Or, determining whether to start the temperature compensation device based on the change of the risk highlighting characterization value;

[0068] The characteristic parameter factor is calculated based on the thermal conductivity and specific heat of the curtain wall material; and the temperature influence factor is calculated based on the temperature change peak value and the temperature change duration.

[0069] In practice, the process of calculating the thermal conductivity of curtain wall materials includes measuring the thickness and area of ​​each material of the curtain wall; using a temperature sensor to measure the temperature on both sides of the material after heating for a predetermined period of time, and calculating the temperature difference; measuring the power of the heating plate, and recording the heating time, calculating the total heat, and finally substituting the above measured parameters into the heat conduction formula to calculate the thermal conductivity.

[0070] In practice, the process of calculating the specific heat of curtain wall materials includes: according to the principles of thermodynamics, the specific heat calculation formula is determined based on the absorbed heat, material mass, and temperature change. In practice, the heat absorbed by the material is calculated by the power and heating time of the heating plate, and the material mass is the mass of the curtain wall material sample accurately measured by the electronic balance. The temperature change within a certain time interval is read from the temperature change time domain curve. Finally, the measured absorbed heat, material mass and temperature change are substituted into the specific heat calculation formula to calculate the specific heat of each material curtain wall material. For each material sample, multiple measurements and calculations are performed, and the average value is taken as the specific heat measurement result of the material.

[0071] In implementation, the thermal image is a dynamic thermal image generated by a thermal imager. The corresponding image processing algorithm or model can be imported into the logic component to realize the corresponding temperature change time domain curve function. There is no specific limitation on the image processing algorithm. Of course, other methods can also be used, which will not be repeated here.

[0072] It is understandable that there is no limitation on the temperature compensation device. In the laboratory test of the thermal performance of the building curtain wall, the temperature compensation device is used to control the temperature stability of the test environment. It can be arranged around the heating plate to control the ambient temperature around the heating plate. For example, when testing the heat transfer coefficient of the curtain wall, the control temperature in the heat chamber is set to a temperature value within the range of 24.5℃ to 28.5℃, and the average air temperature in the heat metering box is set to a temperature value within the range of 24.5℃ to 25.5℃, and the temperature fluctuation amplitude should not be greater than 0.5K. In practice, this temperature control device can be regarded as a temperature compensation mechanism, and other forms of temperature compensation devices can also be used, which will not be elaborated here.

[0073] It is understandable that there is no limitation on the materials of curtain wall materials. In practice, the materials of curtain wall materials include but are not limited to glass materials, metal composite board materials, plastic composite board materials and ceramic thin plate materials. Other material classification methods may also be used, which will not be repeated here.

[0074] It is understandable that there is no limitation on the test heating plate. In practice, the test heating plate can control the heating rate by adjusting the current. Other forms of controlling the heating rate of the heating plate can also be used, which will not be described in detail.

[0075] In implementation, during the heating process of the curtain wall material, the temperature will gradually increase and tend to stabilize. The peak value of the temperature change is the maximum temperature in the stable stage. The temperature change duration is the duration from the heating moment to the temperature stabilization stage in the temperature change time domain curve. The slope corresponding to the temperature stabilization stage must be less than 0.15.

[0076] Specifically, the present invention can obtain the temperature change time domain curve of each material of curtain wall material through heating test, so as to accurately extract characteristic parameter factors and temperature influence factors, and effectively divide abnormal risk tendency labels through changes in temperature influence factors corresponding to the curtain wall materials to be tested, and overcome the situation of inaccurate detection results caused by differences in thermal conduction speeds of curtain wall materials of different materials, thereby improving the efficiency of quality detection; by determining whether to turn on the temperature compensation device, overcome the situation that the detection of curtain wall materials of different materials is affected by different ambient temperatures, resulting in energy waste when the temperature compensation device is turned on, thereby improving the environmental protection and energy saving of quality detection.

[0077] See also Figure 2 As shown, it is a flowchart of the steps of extracting characteristic parameter factors of curtain wall materials of various materials according to an embodiment of the present invention. In step S2, the process of extracting characteristic parameter factors of curtain wall materials of various materials includes:

[0078] Step S21, calculating the thermal conductivity and specific heat of a single curtain wall material;

[0079] Step S22, determining a ratio of the thermal conductivity to a predetermined thermal conductivity threshold as a first characteristic parameter factor;

[0080] Step S23, determining the ratio of the specific heat to a predetermined specific heat threshold as a second characteristic parameter factor;

[0081] Step S24, determining the sum of the first characteristic parameter factor and the second characteristic parameter factor as the characteristic parameter factor of the material;

[0082] Step S25, building an association relationship between each material and the characteristic parameter factor and storing the association relationship.

[0083] In implementation, the predetermined thermal conductivity threshold is pre-set, wherein the predetermined thermal conductivity threshold of a single material curtain wall material is the product of the mean thermal conductivity of the curtain wall material of the material in the historical period and the precision coefficient, and the precision coefficient is selected within the interval [0.88, 0.98].

[0084] In implementation, the predetermined specific heat threshold is pre-set, wherein the predetermined specific heat threshold of a single curtain wall material is the product of the specific heat average of the curtain wall material of the material in a historical period and the specific heat deviation coefficient, and the specific heat deviation coefficient is between the interval [1.1, 1.2].

[0085] The present invention compares the thermal conductivity and specific heat of a single curtain wall material with its corresponding predetermined threshold value, and comprehensively considers the characteristic differences of curtain wall materials of different materials. In actual situations, curtain wall materials of some materials have more obvious characteristics, and the characteristics of curtain wall materials of some materials are more similar to other corresponding materials. Therefore, the characteristic parameter factors of each material are different. Therefore, the present invention considers determining the characteristic parameter factors of each material to provide data support for the detection method selected in the subsequent quality detection analysis, and then adaptively selects the analysis method of the quality detection of the curtain wall material of the corresponding material, reduces the data processing amount and improves the efficiency of quality detection while ensuring reliability.

[0086] See also Figure 3 As shown, it is a flowchart of the steps of extracting the temperature influence factor of each material curtain wall material according to an embodiment of the present invention. In step S2, the process of extracting the temperature influence factor of each material curtain wall material includes:

[0087] Step S31, extracting the temperature change peak value and temperature change duration of a single material curtain wall material;

[0088] Step S32, calculating the ratio of the temperature change peak value to a predetermined temperature threshold as a first temperature influencing factor;

[0089] Step S33, calculating the ratio of the temperature change duration to a predetermined duration threshold as a second temperature influencing factor;

[0090] Step S34: performing a weighted summation of the first temperature influencing factor and the second temperature influencing factor to determine the temperature influencing factor of the material;

[0091] Step S35: Establish an association relationship between each material and the temperature influencing factor and store it.

[0092] Specifically, the predetermined temperature threshold and the predetermined time threshold are pre-set, wherein the predetermined temperature threshold is the average value of the maximum temperature in the temperature change time domain curve within the historical period, and similarly, the predetermined time threshold is the average value of the minimum time corresponding to the maximum temperature in the temperature change time domain curve within the historical period.

[0093] The present invention provides an important characteristic dimension for the quality detection of curtain wall materials of various materials by obtaining the temperature influence factor of a single material.

[0094] Specifically, the process of determining the risk salience characterization value of the present invention includes:

[0095] Conduct several tests on the material to be tested and determine the temperature influence factor corresponding to each test;

[0096] The difference between the maximum temperature influence factor and the minimum temperature influence factor is determined as the variation mean;

[0097] The ratio of the change mean of the temperature influence factor to a predetermined temperature change threshold is determined as the risk highlighting characterization value.

[0098] In implementation, the predetermined temperature change threshold is 1.11 to 1.25 times the average value of the change in the temperature influence factor of the curtain wall material in the historical period.

[0099] Please continue reading Figure 4 As shown, it is a decision logic diagram for dividing abnormal risk tendency labels in an embodiment of the present invention. The process of dividing abnormal risk tendency labels includes:

[0100] If the risk prominence characterization value is less than a predetermined risk prominence characterization value threshold, it is determined to be a first abnormal risk tendency label;

[0101] If the risk prominence characterization value is greater than or equal to a predetermined risk prominence characterization value threshold, it is determined to be a second abnormal risk tendency label.

[0102] In implementation, the predetermined risk highlighting characterization value threshold is 1.08 to 1.15 times the average value of the risk highlighting characterization value of the curtain wall material in the historical period.

[0103] Specifically, the process of monitoring the operating status of the curtain wall material quality test includes:

[0104] If it is determined to be the first abnormal risk tendency label, whether there is equipment abnormality is determined based on the change of the characteristic parameter factor of the curtain wall material to be tested, so as to determine the heating rate of the heating plate;

[0105] If it is determined to be the second abnormal risk tendency label, whether to turn on the temperature compensation device is determined based on the change of the risk highlighting characterization value.

[0106] In implementation, the first abnormal risk tendency label is the situation in which the probability of equipment abnormality is high during the historical period quality inspection process, and the second abnormal risk tendency label is the situation in which the probability of ambient temperature abnormality is high during the historical period quality inspection process. Other label forms can also be monitored based on historical period quality inspection, which will not be elaborated here.

[0107] Specifically, the process of determining whether to turn on the temperature compensation device includes:

[0108] Calculate the difference between the risk highlighting characterization value of the curtain wall material to be tested and a predetermined risk highlighting characterization value threshold;

[0109] If the difference of the risk highlighting characterization value is less than the predetermined change amount threshold, it is determined not to start the temperature compensation device;

[0110] If the difference of the risk highlighting characterization values ​​is greater than or equal to a predetermined change threshold, it is determined to start the temperature compensation device.

[0111] In implementation, the predetermined change threshold is pre-set, the risk highlighting characterization value of the curtain wall material to be tested is obtained in advance, the average value of the difference between the risk highlighting characterization value and the predetermined risk highlighting characterization value threshold is determined, and the ratio of the average value of the difference to the precision coefficient is determined as the change threshold, and the precision coefficient is selected between the interval [0.85, 0.95].

[0112] Specifically, the process of determining whether there is a device abnormality includes:

[0113] Calculate the difference between the characteristic parameter factor of the curtain wall material of the material to be tested and the characteristic parameter factor associated with the material to be tested;

[0114] If the difference is less than a predetermined characteristic parameter change threshold, it is determined that there is no equipment abnormality;

[0115] If the difference is greater than or equal to a predetermined characteristic parameter change threshold, it is determined that there is an equipment abnormality.

[0116] In implementation, the predetermined characteristic parameter change threshold is 1.05 to 1.15 times the average value of the difference between the characteristic parameter factor of the characteristic curtain wall material of the historical period and the characteristic parameter factor associated with the material to be tested.

[0117] Specifically, the process of determining the heating rate of the heating plate includes:

[0118] The heating rate of the heating plate is increased, and the increase is positively correlated with the difference.

[0119] In implementation, the increase in the heating rate of the heating plate is positively correlated with the mean change in the characteristic parameter factor of the curtain wall material to be tested.

[0120] Specifically, the process of obtaining thermal images of curtain wall materials of various materials after being heated by the heating plate includes:

[0121] Use heating panels to heat single-material curtain wall materials;

[0122] Use an infrared thermal imager to photograph the heated curtain wall material to obtain a thermal image of a single material;

[0123] The thermal images of the curtain wall materials of each material are obtained in turn.

[0124] It is understandable that there is no limitation on the model of infrared thermal imager, as long as it can meet the requirements of material quality inspection and obtain thermal imaging images, which will not be elaborated here.

[0125] So far, the technical solutions of the present invention have been described in conjunction with the preferred embodiments shown in the accompanying drawings. However, it is easy for those skilled in the art to understand that the protection scope of the present invention is obviously not limited to these specific embodiments. Without departing from the principle of the present invention, those skilled in the art can make equivalent changes or substitutions to the relevant technical features, and the technical solutions after these changes or substitutions will fall within the protection scope of the present invention.

Claims

1. A method for detecting the quality of energy-saving and environmentally friendly curtain wall materials based on thermal conductivity testing, characterized in that: include: Obtain thermal images of curtain wall materials of various materials heated by the heating plate to extract the time domain curve of temperature change of curtain wall materials of various materials; Based on the temperature change time domain curve of each material curtain wall material, calculate the characteristic parameter factor and temperature influence factor of each material curtain wall material detection; Obtain the temperature impact factor corresponding to the curtain wall material to be tested, and determine the risk highlighting characterization value based on the change of the temperature impact factor; Based on the risk highlighting characterization value, abnormal risk tendency labels are divided to monitor the running status of the quality detection of the curtain wall material to be tested, including: Determine whether there is equipment abnormality based on the change of the characteristic parameter factor of the curtain wall material to be tested, so as to determine the heating rate of the heating plate; Or, determining whether to start the temperature compensation device based on the change of the risk highlighting characterization value; The characteristic parameter factor is calculated based on the thermal conductivity and specific heat of the curtain wall material, and the temperature influence factor is calculated based on the temperature change peak value and the temperature change duration.

2. The energy-saving and environment-friendly curtain wall material quality detection method based on heat conduction test according to claim 1 is characterized in that: The process of calculating the characteristic parameter factors of each material curtain wall material detection includes: Calculate the thermal conductivity and specific heat of a single curtain wall material; determining a ratio of the thermal conductivity to a predetermined thermal conductivity threshold as a first characteristic parameter factor; determining a ratio of the specific heat to a predetermined specific heat threshold as a second characteristic parameter factor; Determine the sum of the first characteristic parameter factor and the second characteristic parameter factor as the characteristic parameter factor of the material; The materials are associated with the characteristic parameter factors and stored.

3. The energy-saving and environment-friendly curtain wall material quality detection method based on heat conduction test according to claim 2 is characterized in that: The process of calculating the temperature influence factor of each curtain wall material includes: Extract the temperature change peak value and temperature change duration of a single curtain wall material; Calculating a ratio of the temperature change peak value to a predetermined temperature threshold as a first temperature influencing factor; Calculating a ratio of the temperature change duration to a predetermined duration threshold as a second temperature influencing factor; Determine the temperature influence factor of the material by taking a weighted sum of the first temperature influence factor and the second temperature influence factor; The association between each material and the temperature influencing factor is established and stored.

4. The energy-saving and environment-friendly curtain wall material quality detection method based on heat conduction test according to claim 1 is characterized in that: The process of determining the risk salience value includes: Conduct several tests on the material to be tested and determine the temperature influence factor corresponding to each test; The difference between the maximum temperature influence factor and the minimum temperature influence factor is determined as the variation mean; The ratio of the change mean of the temperature influence factor to a predetermined temperature change threshold is determined as the risk highlighting characterization value.

5. The energy-saving and environment-friendly curtain wall material quality detection method based on heat conduction test according to claim 1 is characterized in that: The process of classifying abnormal risk tendency labels includes: If the risk prominence characterization value is less than a predetermined risk prominence characterization value threshold, it is determined to be a first abnormal risk tendency label; If the risk prominence characterization value is greater than or equal to a predetermined risk prominence characterization value threshold, it is determined to be a second abnormal risk tendency label.

6. The energy-saving and environment-friendly curtain wall material quality detection method based on heat conduction test according to claim 1 is characterized in that: The process of monitoring the operating status of the curtain wall material quality test includes: If it is determined to be the first abnormal risk tendency label, whether there is equipment abnormality is determined based on the change of the characteristic parameter factor of the curtain wall material to be tested, so as to determine the heating rate of the heating plate; If it is determined to be the second abnormal risk tendency label, whether to turn on the temperature compensation device is determined based on the change of the risk highlighting characterization value.

7. The energy-saving and environment-friendly curtain wall material quality detection method based on heat conduction test according to claim 1 is characterized in that: The process of determining whether to turn on the temperature compensation device includes: Calculate the difference between the risk highlighting characterization value of the curtain wall material to be tested and a predetermined risk highlighting characterization value threshold; If the difference of the risk highlighting characterization value is less than the predetermined change threshold, it is determined not to start the temperature compensation device.

8. The energy-saving and environment-friendly curtain wall material quality detection method based on heat conduction test according to claim 2 is characterized in that: The process of determining whether there is a device abnormality includes: Calculate the difference between the characteristic parameter factor of the curtain wall material of the material to be tested and the characteristic parameter factor associated with the material to be tested; If the difference is greater than or equal to a predetermined characteristic parameter change threshold, it is determined that there is an equipment abnormality.

9. The energy-saving and environment-friendly curtain wall material quality detection method based on heat conduction test according to claim 8 is characterized in that: The process of determining the heating rate of the heating plate includes, The heating rate of the heating plate is increased, and the increase is positively correlated with the difference.

10. The energy-saving and environment-friendly curtain wall material quality detection method based on heat conduction test according to claim 9 is characterized in that: The process of obtaining thermal images of curtain wall materials of various materials heated by the heating plate includes: Use heating panels to heat single-material curtain wall materials; Use an infrared thermal imager to photograph the heated curtain wall material to obtain a thermal image of a single material; The thermal images of the curtain wall materials of each material are obtained in turn.

Images