A quality inspection method for energy-saving and environmental protection curtain wall materials based on heat conduction testing

Abstract

The present invention relates to the technical field of curtain wall material detection, and particularly to an energy-saving and environment-friendly curtain wall material quality detection method based on heat conduction testing. Through the heating test of curtain wall materials, the present invention can obtain the time-domain curve of temperature change of curtain wall materials of various materials, so as to accurately calculate the characteristic parameter factor and the temperature influence factor. By the change of the temperature influence factor corresponding to the curtain wall material to be tested, the abnormal risk tendency label can be effectively divided. By monitoring the operation state of the quality detection of the curtain wall material to be tested, the situation that the detection result is inaccurate due to the difference in the heat conduction speed of curtain wall materials of different materials is overcome, and the efficiency of quality detection is improved; by determining whether to turn on the temperature compensation device, the situation that the temperature compensation device is turned on due to the different influence of the environmental temperature on the detection of curtain wall materials of different materials, resulting in energy waste, is overcome, and the environmental protection and energy saving of quality detection are improved.

Description

Technical Field

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

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

[0003] Chinese Patent Publication No.: CN 116698908 B, discloses a testing device for the heat insulation performance of curtain wall glass in a laboratory, including a bottom plate. A support shaft is fixed on the top surface of the bottom plate, a rotating cylinder is sleeved on the top of the support shaft, a main detection support assembly is fixed on the top of the rotating cylinder, the main detection support assembly is of a cross-shaped structure, the main detection 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 cylinder, and both ends of the main frame are connected with surface heat insulation detection mechanisms. The two surface heat insulation detection mechanisms are arranged in a mirror image. A first detection plate and a second detection plate are fixed on the side wall of the main frame. The first detection plate and the second detection plate are arranged at intervals and are parallel to each other. In the present invention, a transfer mechanism drives the curtain wall glass to be transferred between the two surface heat insulation detection mechanisms, and during the transfer process, the middle heat insulation detection mechanism performs multi-point detection on the curtain wall glass, improving the diversity of heat insulation detection positions, thereby ensuring the accuracy of the heat insulation performance detection of the curtain wall glass.

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

[0005] The difference in the heat conduction speed of curtain wall materials of different materials is not considered, resulting in different heating rates of the heating plates for the quality detection of curtain wall materials of various materials, leading to inaccurate detection results and low efficiency of heat conduction test analysis for curtain wall material quality detection;

[0006] The different influences of environmental temperature on the detection of curtain wall materials of different materials are not considered, resulting in the occurrence of energy waste during the continuous opening process of the temperature compensation device, leading to low environmental protection and energy-saving performance. Summary of the Invention

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

[0008] To achieve the above object, the present invention provides a method for detecting the quality of energy-saving and environmental protection type curtain wall materials based on heat conduction testing, including:

[0009] Obtain the thermal imaging diagrams of curtain wall materials of each material heated by a heating plate to extract the time-domain curves of temperature changes for quality detection of curtain wall materials of each material;

[0010] Based on the time-domain curves of temperature changes of curtain wall materials of each material, extract the characteristic parameter factors and temperature influence factors for the detection of curtain wall materials of each material;

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

[0012] Divide the abnormal risk tendency labels based on the risk highlighting characterization value, and monitor the operation status of the quality detection of the curtain wall material to be tested, including:

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

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

[0015] Wherein, 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] Further, the process of calculating the characteristic parameter factors for the detection of curtain wall materials of each material includes,

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

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

[0019] Determine the ratio of the specific heat to a predetermined specific heat threshold as the 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 this material;

[0021] Construct an association relationship between each material and the characteristic parameter factor and store it.

[0022] Further, the process of calculating the temperature influence factors for the detection of curtain wall materials of each material includes,

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

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

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

[0026] Determine the weighted sum of the first temperature influence factor and the second temperature influence factor as the temperature influence factor of this material;

[0027] Construct an association relationship between each material and the temperature influence factor and then store it.

[0028] Further, the process of determining the risk highlighting characterization value includes,

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

[0030] Determine the difference between the maximum temperature influence factor and the minimum temperature influence factor as the change mean value;

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

[0032] Further, the process of dividing the abnormal risk tendency label includes,

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

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

[0035] Further, the process of monitoring the operation status of the quality inspection of the curtain wall material to be tested includes,

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

[0037] If it is determined as the second abnormal risk tendency label, determine whether to turn on the temperature compensation device 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 amount of the risk highlighting characterization value of the curtain wall material of the material to be tested;

[0040] If the change amount of the risk highlighting characterization value is less than a predetermined change amount threshold, determine not to turn on the temperature compensation device.

[0041] Further, the process of determining whether there is equipment abnormality includes

[0042] Calculating 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 equipment abnormality.

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

[0045] Increasing the heating rate of the heating plate, and the increasing range is positively correlated with the difference.

[0046] Further, the process of obtaining the thermal imaging diagram of the curtain wall material of each material heated by the heating plate includes

[0047] Using the heating plate to heat a single-material curtain wall material;

[0048] Using an infrared thermal imager to photograph the heated curtain wall material to obtain a single-material thermal imaging diagram;

[0049] Sequentially obtaining the thermal imaging diagrams of the curtain wall materials of each material.

[0050] Compared with the prior art, the present invention can obtain the time-domain curve of the temperature change of the curtain wall material of each material through heating tests, so as to accurately extract the characteristic parameter factor and the temperature influence factor. Through the change of the temperature influence factor corresponding to the curtain wall material of the material to be tested, the abnormal risk tendency label can be effectively divided, and the operation state of the quality inspection of the curtain wall material to be tested can be monitored, so as to comprehensively evaluate the thermal conductivity of the material, overcoming the problem that the difference in the thermal conductivity speed of the curtain wall materials of different materials leads to different heating rates of the heating plates for the quality inspection of the curtain wall materials of each material, resulting in inaccurate test results and low efficiency of the thermal conductivity test analysis of the curtain wall material quality inspection, and improving the efficiency of quality inspection; by determining whether to turn on the temperature compensation device, it overcomes the situation of energy waste caused by the different influences of the ambient temperature on the detection of curtain wall materials of different materials and the continuous opening of the temperature compensation device, and improves the environmental protection and energy saving of quality inspection.

[0051] In particular, the present invention divides the abnormal risk tendency label through the risk highlighting characterization value, can timely detect the abnormal ambient temperature or equipment abnormality, and can accurately determine whether there is an abnormal ambient temperature tendency through the change of the risk highlighting characterization value, so as to determine whether to turn on the temperature compensation device. This method reduces unnecessary energy consumption by precisely controlling whether to turn on the temperature compensation, meets the requirements of energy conservation and environmental protection, and improves the environmental protection and energy saving of quality inspection.

[0052] In particular, through the change of the temperature influence factor, the present invention can quickly obtain the risk prominence characterization value. Through the risk prominence characterization value, the abnormal risk tendency label can be accurately divided, reducing the occurrence of human operation errors and improving the detection efficiency and reliability.

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

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

[0055] Figure 1 It is a flowchart of the steps of the method for detecting the quality of energy-saving and environment-friendly curtain wall materials based on thermal conduction test according to an embodiment of the present invention;

[0056] Figure 2 It is a flowchart of the steps of extracting the characteristic parameter factors for the detection of curtain wall materials of each material according to an embodiment of the present invention;

[0057] Figure 3 It is a flowchart of the steps of extracting the temperature influence factors for the curtain wall materials of each material according to an embodiment of the present invention;

[0058] Figure 4 It is a determination logic diagram for dividing the abnormal risk tendency label according to an embodiment of the present invention. DETAILED DESCRIPTION OF THE EMBODIMENTS

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

[0060] The preferred embodiments of the present invention will be described below with reference to the accompanying drawings. Those skilled in the art should understand that these embodiments are only used to explain the technical principle of the present invention and do not limit the protection scope of the present invention.

[0061] Please refer to Figure 1 As shown, it is a flowchart of the steps of the method for detecting the quality of energy-saving and environment-friendly curtain wall materials based on thermal conduction test according to an embodiment of the present invention. The present invention provides a method for detecting the quality of energy-saving and environment-friendly curtain wall materials based on thermal conduction test, including:

[0062] Step S1, obtain the thermal imaging diagrams of curtain wall materials of each material after being heated by a heating plate, so as to extract the time-domain curves of temperature changes for the quality inspection of curtain wall materials of each material;

[0063] Step S2, based on the time-domain curves of temperature changes of curtain wall materials of each material, extract the characteristic parameter factors and temperature influence factors for the inspection of curtain wall materials of each material;

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

[0065] Step S4, divide the abnormal risk tendency labels based on the risk highlight characterization value, and monitor the operation status of the quality inspection of the curtain wall material 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, determine whether to turn on the temperature compensation device based on the change of the risk highlight characterization value;

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

[0069] In implementation, for the process of calculating the thermal conductivity of the curtain wall material, it includes measuring the thickness and area of the curtain wall materials of each material; using a temperature sensor to measure the temperatures on both sides of the material after heating for a predetermined time, and calculating the temperature difference; measuring the power of the heating plate, 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 implementation, for the process of calculating the specific heat of the curtain wall material, according to the thermodynamic principle, the specific heat calculation formula is determined based on the absorbed heat, the mass of the material, and the temperature change amount. In implementation, the absorbed heat of the material is calculated through the power and heating time of the heating plate, and the mass of the material is accurately measured by an electronic balance for the curtain wall material sample. The temperature change amount within a certain time interval is read from the time-domain curve of temperature change. Finally, the absorbed heat, the mass of the material, and the temperature change amount measured are substituted into the specific heat calculation formula to calculate the specific heat of the curtain wall materials of each material. For each material sample, multiple measurements and calculations are performed, and the average value is taken as the measurement result of the specific heat of this material.

[0071] In implementation, the thermal imaging diagram is a dynamic thermal imaging diagram generated by a thermal imager. The corresponding image processing algorithm or model can be imported into the logic component to implement the corresponding function of the time-domain curve of temperature change. The image processing algorithm is not specifically limited. Of course, other methods can also be used, which will not be elaborated here.

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

[0073] It can be understood that there is no limitation on the materials of the curtain wall. In practice, the materials of the curtain wall 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 can also be used, which will not be elaborated here.

[0074] It can be understood 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, or other forms can also be used to control the heating rate of the heating plate, which will not be elaborated here.

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

[0076] Specifically, through the heating test of the curtain wall material, the present invention can obtain the time-domain curve of the temperature change of the curtain wall material of each material, so as to accurately extract the characteristic parameter factors and temperature influence factors. Through the change of the temperature influence factor corresponding to the curtain wall material to be tested, the abnormal risk tendency label can be effectively divided. By monitoring the operation status of the quality inspection of the curtain wall material to be tested, it overcomes the situation that the detection results are inaccurate due to the difference in the heat conduction speed of the curtain wall materials of different materials, and improves the efficiency of quality inspection; by determining whether to turn on the temperature compensation device, it overcomes the situation that the temperature compensation device is turned on due to the different environmental temperature influences on the detection of the curtain wall materials of different materials, resulting in energy waste, and improves the environmental protection and energy conservation of quality inspection.

[0077] Please refer to Figure 2 As shown, it is the flow chart of the steps for extracting the characteristic parameter factors of the detection of the curtain wall material of each material in the embodiment of the present invention. In step S2, the process of extracting the characteristic parameter factors of the detection of the curtain wall material of each material includes

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

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

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

[0081] Step S24, determine 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, store after constructing the association relationship between each material and the characteristic parameter factor.

[0083] In implementation, the predetermined thermal conductivity threshold is obtained by presetting. Among them, the predetermined thermal conductivity threshold of a single material curtain wall material is the product of the average thermal conductivity of the curtain wall material of this 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 obtained by presetting. Among them, the predetermined specific heat threshold of a single material curtain wall material is the product of the average specific heat of the curtain wall material of this material in the historical period and the specific heat offset coefficient, and the specific heat offset coefficient is between the interval [1.1, 1.2].

[0085] In the present invention, by comparing the thermal conductivity and specific heat of a single material curtain wall material with their corresponding predetermined thresholds, the characteristic differences of curtain wall materials of different materials are comprehensively considered. In actual situations, the characteristics of curtain wall materials of some materials are more obvious, and the characteristics of curtain wall materials of some materials are more similar to those of 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, provides data support for the selected detection method when analyzing the quality inspection subsequently, and then adaptively selects the analysis method for the quality inspection of the curtain wall material of the corresponding material, reduces the data processing volume on the premise of ensuring reliability, and improves the efficiency of quality inspection.

[0086] Please refer to Figure 3 As shown, it is the step flow chart of extracting the temperature influence factor of each material curtain wall material in the 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, extract the temperature change peak value and temperature change duration of a single material curtain wall material;

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

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

[0090] Step S34: Determine the temperature influencing factor of the material by weighted summation of the first temperature influencing factor and the second temperature influencing factor;

[0091] Step S35: After constructing the association relationship between each material and the temperature influencing factor, store it.

[0092] Specifically, the predetermined temperature threshold and the predetermined duration threshold are obtained by presetting. Among them, the predetermined temperature threshold is the average value of the maximum temperatures in the temperature change time domain curve within the historical period. Similarly, the predetermined duration threshold is the average value of the minimum durations corresponding to the maximum temperatures in the temperature change time domain curve within the historical period.

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

[0094] Specifically, the process of determining the risk highlighting characterization value in the present invention includes,

[0095] Perform several detections on the material to be tested, and determine the temperature influencing factor corresponding to each detection;

[0096] Determine the difference between the maximum temperature influencing factor and the minimum temperature influencing factor as the change mean value;

[0097] Determine the ratio of the change mean value of the temperature influencing factor to a predetermined temperature change threshold 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 changes in the temperature influencing factors of the curtain wall materials within the historical period.

[0099] Please continue to refer to Figure 4 As shown, it is the determination logic diagram for dividing the abnormal risk tendency label in the embodiment of the present invention. The process of dividing the abnormal risk tendency label includes,

[0100] If the risk highlighting characterization value is less than the predetermined risk highlighting characterization value threshold, it is determined as the first abnormal risk tendency label;

[0101] If the risk highlighting characterization value is greater than or equal to the predetermined risk highlighting characterization value threshold, it is determined as the 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 values of the curtain wall material within the historical period.

[0103] Specifically, the process of monitoring the operation status of the quality inspection of the curtain wall materials to be tested includes

[0104] If it is determined as the first abnormal risk tendency label, it is determined 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;

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

[0106] In implementation, the first abnormal risk tendency label is the situation with a high probability of detecting equipment abnormality during the historical cycle quality inspection, and the second abnormal risk tendency label is the situation with a high probability of environmental temperature abnormality during the historical cycle quality inspection. Other label forms can also be monitored according to the historical cycle 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 of the material to be tested and the 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 turn on the temperature compensation device;

[0110] If the difference of the risk highlighting characterization value is greater than or equal to the predetermined change amount threshold, it is determined to turn on the temperature compensation device.

[0111] In implementation, the predetermined change amount threshold is obtained by presetting. First, obtain the risk highlighting characterization value of the curtain wall material of the material to be tested, determine the average value of the difference between the risk highlighting characterization value and the predetermined risk highlighting characterization value threshold, and determine the ratio of the average value of the difference to the precision coefficient as the change amount threshold. The precision coefficient is selected in the interval [0.85, 0.95].

[0112] Specifically, the process of determining whether there is equipment 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 the predetermined characteristic parameter change threshold, it is determined that there is no equipment abnormality;

[0115] If the difference is greater than or equal to the predetermined characteristic parameter change threshold, it is determined that there is 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 historical period characteristic curtain wall material 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] Increasing the heating rate of the heating plate, and the increasing amplitude is positively correlated with the difference.

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

[0120] Specifically, the process of obtaining the thermal imaging diagram of each material curtain wall material heated by the heating plate includes,

[0121] Using the heating plate to heat a single material curtain wall material;

[0122] Using an infrared thermal imager to photograph the heated curtain wall material to obtain a thermal imaging diagram of a single material;

[0123] Sequentially obtaining the thermal imaging diagrams of each material curtain wall material.

[0124] It can be understood that the model of the infrared thermal imager is not limited, as long as it can meet the requirement of obtaining the thermal imaging diagram for the quality inspection of the sold materials, and this will not be elaborated here.

[0125] So far, the technical solution of the present invention has been described in combination with the preferred embodiments shown in the 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 all 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 5 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.

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