Method and system for detecting waterproof performance of energy-saving and environment-friendly curtain wall material

Abstract

The invention relates to the technical field of curtain wall waterproof detection, in particular to a waterproof performance detection method and system for an energy-saving and environment-friendly curtain wall material, and the method comprises the steps: obtaining an initial structure parameter and an initial surface parameter of a to-be-detected target, and carrying out the environment simulation test of the to-be-detected target based on the initial simulation environment parameter, performing temperature gradient processing on the to-be-measured target based on the environmental influence characterization value to determine a temperature anomaly region; dividing the temperature abnormal region into a plurality of abnormal sub-regions, and performing separation treatment on the waterproof layer of each abnormal sub-region; on the basis of a preset spraying mode, spraying tests are carried out on all the separated abnormal sub-areas for multiple times; and based on the waterproof state parameter and the separation thickness corresponding to each abnormal sub-region, determining whether the waterproof performance of the to-be-detected target meets a preset standard, and based on a determination result, adjusting the initial simulation environment parameter. According to the invention, the accuracy and efficiency of waterproof performance detection can be improved.

Description

Technical Field

[0001] The present invention relates to the technical field of curtain wall waterproof detection, and in particular to a method and system for detecting the waterproof performance of energy-saving and environment-friendly curtain wall materials. Background Art

[0002] Curtain walls are the exterior enclosures of buildings, composed of panels and a supporting structure. They are capable of displacement relative to the main structure or deformation, independent of the main structure. They are lightweight, decorative walls commonly used in modern large and high-rise buildings. Waterproofing is a key performance characteristic of curtain walls, so careful testing of curtain wall materials is essential before use.

[0003] Energy-saving and environmentally friendly curtain wall materials typically offer excellent thermal insulation properties, but they may contain hidden gaps caused by temperature differences. These gaps are difficult to detect during conventional watertightness testing, but can exacerbate leakage during actual use due to thermal expansion and contraction. Existing testing methods fail to correlate thermal and waterproof properties, making it impossible to fully assess the material's comprehensive waterproofing capabilities. This makes it difficult to ensure accurate testing, and the testing process is time-consuming and inefficient. Summary of the Invention

[0004] To this end, the present invention provides a method and system for detecting the waterproof performance of energy-saving and environmentally friendly curtain wall materials, which is used to overcome the problems in the prior art that thermal performance and waterproof performance are not correlated and analyzed, the comprehensive waterproof ability of the material cannot be comprehensively evaluated, the detection accuracy is difficult to ensure, and the detection process is time-consuming and inefficient.

[0005] To achieve the above objectives, the present invention provides, on the one hand, a method for detecting the waterproof performance of energy-saving and environmentally friendly curtain wall materials, comprising:

[0006] Step S1, obtaining initial structural parameters and initial surface parameters of the target to be measured to determine initial simulation environment parameters;

[0007] Step S2, performing an environmental simulation test on the target to be measured based on the initial simulated environmental parameters to obtain an environmental impact characterization value of the target to be measured;

[0008] Step S3, performing temperature gradient processing on the target to be measured based on the environmental impact characterization value to determine a temperature abnormality area;

[0009] Step S4, dividing the temperature abnormal area into a plurality of abnormal sub-areas, and performing separation processing on the waterproof layer of each abnormal sub-area, wherein the separation thickness of the waterproof layer of each abnormal sub-area is different;

[0010] Step S5: performing a plurality of spray tests on each abnormal sub-area after separation based on a preset spray method to obtain a waterproof status parameter corresponding to each abnormal sub-area;

[0011] Step S6: determining whether the waterproof performance of the target to be measured meets a preset standard based on the waterproof state parameters and separation thickness corresponding to each abnormal sub-region, and adjusting the initial simulation environment parameters based on the determination result.

[0012] Furthermore, in step S1, determining the initial simulation environment parameters includes:

[0013] Step S11, determining a key comprehensive characterization value based on the initial structural parameters and the initial surface parameters;

[0014] Step S12: determining the initial simulation environment parameters based on the key comprehensive characterization value and standard simulation environment parameters.

[0015] Furthermore, in step S2, determining the environmental impact characterization value includes:

[0016] Step S21, obtaining simulated structural parameters and simulated surface parameters of the target to be tested after the environmental simulation test;

[0017] Step S22, determining a simulated structure characteristic value based on a comparison result between the simulated structure parameter and the initial structure parameter;

[0018] Step S23, determining simulated surface characteristic values ​​based on a comparison result between the simulated surface parameters and the initial surface parameters;

[0019] Step S24: determining the environmental impact characterization value based on the simulated structural characteristic value and the simulated surface characteristic value.

[0020] Furthermore, in step S3, the temperature gradient treatment process includes:

[0021] Step S31, determining initial temperature parameters based on the environmental impact characterization value and standard temperature parameters, wherein the temperature parameters include a temperature change amount and a change time interval;

[0022] Step S32 : fixing the target to be measured on the bottom of the test box, adjusting the temperature between the surface of the target to be measured and the top of the test box based on the initial temperature parameter, and detecting the surface temperature of the target to be measured in real time.

[0023] Furthermore, in step S3, determining the abnormal temperature area includes:

[0024] Step S33, determining the temperature change characteristic value at each position based on the surface temperature change of the target to be measured during the temperature gradient processing;

[0025] Step S34: determining an abnormal temperature area based on the temperature change characteristic values ​​at various locations on the surface of the target to be measured.

[0026] Furthermore, in the step S5, the preset spraying mode performs a spraying test with a preset spraying water pressure and a preset spraying time.

[0027] Furthermore, in step S6, it includes:

[0028] The waterproof evaluation value of the target to be measured is determined based on the waterproof state parameters and separation thickness corresponding to each of the abnormal sub-regions, and whether the waterproof performance of the target to be measured meets a preset standard is determined based on the waterproof evaluation value.

[0029] Furthermore, in step S6, it includes:

[0030] Step S61, determining a comparison state parameter corresponding to each abnormal sub-region based on the separation thickness corresponding to each abnormal sub-region;

[0031] Step S62 : determining the waterproof evaluation value of the target to be measured based on the comparison result of the comparison state parameter corresponding to each abnormal sub-region and the waterproof state parameter.

[0032] Furthermore, in step S6, adjusting the initial simulation environment parameters based on the determination result includes:

[0033] If the waterproof performance of the target to be measured meets the preset standard, determining a first parameter adjustment coefficient based on the waterproof evaluation value, and determining an increase in the initial simulated environment parameter based on the first parameter adjustment coefficient;

[0034] If the waterproof performance of the target to be measured does not meet the preset standard, a second parameter adjustment coefficient is determined based on the waterproof evaluation value, and a reduction amount of the initial simulation environment parameter is determined based on the second parameter adjustment coefficient.

[0035] On the other hand, the present invention also provides a waterproof performance detection system, comprising:

[0036] A parameter acquisition module is used to obtain the initial structural parameters and initial surface parameters of the target to be measured;

[0037] a parameter analysis module connected to the parameter acquisition module, for determining initial simulation environment parameters based on the initial structural parameters and the initial surface parameters;

[0038] An environmental simulation test module, connected to the parameter analysis module, for performing an environmental simulation test on the target to be tested based on the initial simulated environmental parameters to obtain an environmental impact characterization value of the target to be tested;

[0039] a temperature gradient processing module connected to the environmental simulation test module, configured to perform temperature gradient processing on the target to be tested based on the environmental impact characterization value to determine an abnormal temperature area;

[0040] a spray test module connected to the temperature gradient processing module, configured to divide the temperature abnormality region into a plurality of abnormal sub-regions, perform separation processing on the waterproof layer of each abnormal sub-region, and perform a plurality of spray tests on each abnormal sub-region after separation processing based on a preset spray mode to obtain waterproof status parameters corresponding to each abnormal sub-region; wherein the separation thickness of the waterproof layer of each abnormal sub-region is different;

[0041] A determination and adjustment module is connected to the spray test module and the parameter analysis module respectively, and is used to determine whether the waterproof performance of the target to be tested meets the preset standards based on the waterproof status parameters and separation thickness corresponding to each of the abnormal sub-areas, and adjust the initial simulation environment parameters based on the determination result.

[0042] Compared with the prior art, the present invention has the beneficial effect of determining the initial simulated environmental parameters based on the initial structural parameters and initial surface parameters of the target to be tested, enabling subsequent environmental simulation tests to more accurately reflect the test environment conditions suitable for the target to be tested, avoiding detection bias caused by blindly setting environmental parameters, and improving the reliability and relevance of test results. Through environmental simulation testing, the initial response of the target to be tested under the test environment conditions can be evaluated, providing a reference benchmark for subsequent temperature gradient processing, and helping to accurately capture the relationship between environmental factors and changes in material properties. By performing temperature gradient processing on the target to be tested based on the environmental impact characterization value to determine the temperature anomaly area, it is possible to focus on key areas where hidden cracks may occur in the material due to temperature changes, thereby improving detection efficiency and accuracy. The temperature anomaly area is divided into several abnormal sub-areas, further refining the problem area, and the waterproof layer of each abnormal sub-area is separated and processed separately, providing multi-dimensional data support for evaluating the waterproof ability of the material after the waterproof layer is damaged in actual use. By performing several spray tests based on a preset spray method, the waterproof performance of the material under different conditions can be dynamically reflected, reducing interference from accidental factors and improving detection accuracy. Combining the waterproof status parameters and separation thickness of each abnormal sub-area to determine whether the material's waterproof performance meets the preset standards, and adjusting the initial simulation environment parameters accordingly, can more comprehensively and accurately evaluate the overall waterproof performance of the target to be tested. Adjusting the initial simulation environment parameters according to the judgment results forms a feedback mechanism, continuously optimizes the test process and environmental parameter settings, and improves the adaptability and accuracy of detection.

[0043] Furthermore, the present invention can comprehensively evaluate the comprehensive performance of the material by integrating the initial structural parameters and the initial surface parameters. The determination of the key comprehensive characterization values ​​provides a quantitative standard for subsequent environmental simulation tests and temperature gradient processing. The initial simulation environmental parameters are determined according to the key comprehensive characterization values ​​and the standard simulation environmental parameters, and the test conditions are accurately set, which can improve the reliability of the test results and thereby improve the accuracy of subsequent waterproof performance testing.

[0044] Furthermore, the present invention determines the simulated structural characteristic values ​​by comparing the simulated structural parameters of the target to be tested after the environmental simulation test with the initial structural parameters, thereby quantifying the structural changes of the material after the environmental simulation test. It determines the simulated surface characteristic values ​​by comparing the simulated surface parameters of the target to be tested after the environmental simulation test with the initial surface parameters, thereby quantifying the surface changes of the material after the environmental simulation test. By integrating the simulated structural characteristic values ​​and the simulated surface characteristic values, it is possible to comprehensively evaluate the impact of the environmental simulation test on the overall performance of the material, thereby ensuring that subsequent tests are more targeted and effective, and further improving the detection accuracy.

[0045] Furthermore, the present invention accurately determines initial temperature parameters by combining environmental impact characterization values ​​with standard temperature parameters. Fixing the target to be tested at the bottom of the test chamber ensures material stability during testing, avoiding test errors caused by movement or vibration. By adjusting the temperature between the target surface and the top of the test chamber, the temperature gradient can be precisely controlled. Through precise control and real-time monitoring, thermal performance issues can be quickly identified, reducing unnecessary testing time and resource waste, and improving subsequent test accuracy and efficiency.

[0046] Furthermore, by analyzing the temperature changes at various locations on the surface of the target to be measured during the temperature gradient processing, the present invention can quantify the temperature change characteristic values ​​at each location and accurately locate the temperature abnormality areas. The temperature abnormality areas are weak points in the waterproof performance. Subsequent spray tests can focus on these areas in a more targeted manner to improve detection efficiency and accuracy.

[0047] Furthermore, the present invention quantifies the influence of the separation thickness on the waterproof performance by combining the separation thickness of the waterproof layer of each abnormal sub-region, determines the waterproof evaluation value by comparing the comparison state parameters and the waterproof state parameters corresponding to each abnormal sub-region, and evaluates the waterproof performance under different thicknesses. This enables the waterproof evaluation value to accurately reflect the waterproof performance of the material, thereby improving detection accuracy and efficiency. BRIEF DESCRIPTION OF THE DRAWINGS

[0048] Figure 1 Schematic diagram of the process of testing the waterproof performance of energy-saving and environment-friendly curtain wall materials according to an embodiment of the present invention;

[0049] Figure 2 A schematic diagram of a process for determining an environmental impact characterization value according to an embodiment of the present invention;

[0050] Figure 3 A logic decision diagram for determining whether the waterproof performance of a target to be tested meets a preset standard according to an embodiment of the present invention;

[0051] Figure 4 This is a structural block diagram of a waterproof performance detection system according to an embodiment of the present invention. DETAILED DESCRIPTION

[0052] 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.

[0053] 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 scope of protection of the present invention.

[0054] It should be noted that, in the description of the present invention, terms such as "up", "down", "left", "right", "inside", and "outside" indicating directions or positional relationships are based on the directions or positional relationships shown in the accompanying drawings. This is only for the convenience of description and does not indicate or imply that the device or element must have a specific orientation, be constructed and operated in a specific orientation. Therefore, it cannot be understood as a limitation on the present invention.

[0055] Furthermore, it should be noted that, in the description of the present invention, unless otherwise expressly specified or limited, the terms "mounted," "connected," and "connected" should be understood in a broad sense. For example, they may refer to fixed connections, detachable connections, or integral connections; mechanical connections or electrical connections; direct connections or indirect connections through an intermediate medium; and internal communication between two components. Those skilled in the art will understand the specific meanings of the above terms in the present invention based on specific circumstances.

[0056] See also Figure 1 As shown, it is a flow chart of a method for detecting the waterproof performance of an energy-saving and environment-friendly curtain wall material according to an embodiment of the present invention. An embodiment of the present invention provides a method for detecting the waterproof performance of an energy-saving and environment-friendly curtain wall material, comprising:

[0057] Step S1, obtaining initial structural parameters and initial surface parameters of the target to be measured to determine initial simulation environment parameters;

[0058] In practice, structural parameters include waterproof layer thickness and porosity, while surface parameters include surface tension, contact angle, and surface roughness. The acquisition method is not limited and is based on prior art. It is understood that in actual applications, the acquired structural and surface parameters of the target to be measured are normalized to convert the data to a uniform scale and eliminate dimension.

[0059] Specifically, in step S1, determining the initial simulation environment parameters includes:

[0060] Step S11, determining a key comprehensive characterization value based on the initial structural parameters and the initial surface parameters;

[0061] Step S12: determining the initial simulation environment parameters based on the key comprehensive characterization value and standard simulation environment parameters.

[0062] In the implementation, the initial structural characteristic values ​​are determined based on the comparison results between the initial structural parameters and the standard structural parameters, and the initial surface characteristic values ​​are determined based on the comparison results between the initial surface parameters and the standard structural parameters. For example, the initial structural parameters CY1, CY2, ..., CY j ,…,CY m With the standard structural parameters CE1, CE2, ..., CEj ,…,CE m , then the initial structural characteristic value CJ=(∑ m j＝1 CY j ×CE j ) / (sqrt(∑ m j＝1 (CY j ) 2 )×sqrt(∑ m j＝1 (CE j ) 2 )); sqrt() is a preset square root determination function, j = 1, 2, ..., m; m is the number of structural parameters; initial surface parameters BY1, BY2, ..., BY i ,…,BY n Compared with the standard surface parameters BE1, BE2, ..., BE i ,…,BE n , then the initial surface characteristic value BJ=(∑ n i＝1 BY i ×BE i ) / (sqrt(∑ n i＝1 (BY i ) 2 )×sqrt(∑ n i＝1 (BE i ) 2 )); i = 1, 2, ..., n; n is the number of surface parameters.

[0063] It is understandable that actual implementers can set standard structural parameters based on the normalized mean values ​​of structural parameters that have passed qualification tests in historical data, and actual implementers can set standard surface parameters based on the normalized mean values ​​of surface parameters that have passed qualification tests in historical data.

[0064] It can be understood that the average of the initial structural characteristic value and the initial surface characteristic value is determined as the key comprehensive characterization value.

[0065] It can be understood that the simulated environmental parameters include temperature, humidity, pH, air pressure, wind speed, etc. The actual implementers can set the standard simulated environmental parameters based on actual conditions. Preferably, the temperature value range is set to 30℃~40℃, the humidity value range is set to 40%RH~60%RH, the pH value range is set to 4~7, the air pressure value range is set to 80kPa~100kPa, and the wind speed value range is set to 5m / s~15m / s.

[0066] It can be understood that the product of the key comprehensive characterization value and the standard simulation environment parameter is determined as the initial simulation environment parameter, for example, the product of the key comprehensive characterization value and the standard temperature is determined as the initial temperature.

[0067] By integrating initial structural parameters and initial surface parameters, the present invention can comprehensively evaluate the comprehensive performance of the material. The determination of key comprehensive characterization values ​​provides a quantitative standard for subsequent environmental simulation testing and temperature gradient processing. The initial simulation environmental parameters are determined according to the key comprehensive characterization values ​​and standard simulation environmental parameters, and the test conditions are accurately set, which can improve the reliability of the test results and thus improve the accuracy of subsequent waterproof performance testing.

[0068] Step S2, performing an environmental simulation test on the target to be measured based on the initial simulated environmental parameters to obtain an environmental impact characterization value of the target to be measured;

[0069] See also Figure 2 , which is a schematic diagram of a process for determining an environmental impact characterization value according to an embodiment of the present invention; specifically, in step S2, determining the environmental impact characterization value includes:

[0070] Step S21, obtaining simulated structural parameters and simulated surface parameters of the target to be tested after the environmental simulation test;

[0071] Step S22, determining a simulated structure characteristic value based on a comparison result between the simulated structure parameter and the initial structure parameter;

[0072] Step S23, determining simulated surface characteristic values ​​based on a comparison result between the simulated surface parameters and the initial surface parameters;

[0073] Step S24: determining the environmental impact characterization value based on the simulated structural characteristic value and the simulated surface characteristic value.

[0074] During implementation, environmental simulation tests can be performed through an environmental simulation chamber, which can accurately control the simulated environmental parameters.

[0075] It can be understood that the initial structural parameters CY1, CY2, ..., CY j ,…,CY m With the simulation structure parameters CS1, CS2, ..., CS j ,…,CS m , then the simulated structure characteristic value CJ=(∑ m j＝1 CY j ×CS j ) / (sqrt(∑ m j＝1 (CY j ) 2)×sqrt(∑ m j＝1 (CS j ) 2 )); Initial surface parameters BY1, BY2, ..., BY i ,…,BY n With the simulated surface parameters BS1, BS2, ..., BS i ,…,BS n , then the simulated surface characteristic value BJ=(∑ n i＝1 BY i ×BS i ) / (sqrt(∑ n i＝1 (BY i ) 2 )×sqrt(∑ n i＝1 (BS i ) 2 )).

[0076] It can be understood that the product of the simulated structural characteristic value and the simulated surface characteristic value is determined as the environmental impact characterization value.

[0077] The present invention determines the simulated structural characteristic values ​​by comparing the simulated structural parameters of the target to be tested after the environmental simulation test with the initial structural parameters, so as to quantify the structural changes of the material after the environmental simulation test. It determines the simulated surface characteristic values ​​by comparing the simulated surface parameters of the target to be tested after the environmental simulation test with the initial surface parameters, so as to quantify the surface changes of the material after the environmental simulation test. By integrating the simulated structural characteristic values ​​and the simulated surface characteristic values, it is possible to comprehensively evaluate the impact of the environmental simulation test on the overall performance of the material, ensure that subsequent tests are more targeted and effective, and further improve the detection accuracy.

[0078] Step S3, performing temperature gradient processing on the target to be measured based on the environmental impact characterization value to determine a temperature abnormality area;

[0079] Specifically, in step S3, the temperature gradient treatment process includes:

[0080] Step S31, determining initial temperature parameters based on the environmental impact characterization value and standard temperature parameters, wherein the temperature parameters include a temperature change amount and a change time interval;

[0081] Step S32 : fixing the target to be measured on the bottom of the test box, adjusting the temperature between the surface of the target to be measured and the top of the test box based on the initial temperature parameter, and detecting the surface temperature of the target to be measured in real time.

[0082] In implementation, the product of the environmental impact characterization value and the standard temperature parameter is determined as the initial temperature parameter. For example, the product of the environmental impact characterization value and the standard temperature change is determined as the initial temperature change, and the product of the environmental impact characterization value and the standard change time interval is determined as the initial change time interval. The starting temperature of the temperature gradient processing is the initial temperature corresponding to the environmental simulation test, and the ending temperature of the temperature gradient processing is 2 / 3 to 3 / 4 of the temperature threshold that the target to be tested can withstand.

[0083] In a specific embodiment, the starting temperature is 30°C, the ending temperature is 50°C, the initial temperature change is 5°C, and the initial change time interval is 5s. Then, the temperature gradient treatment starts at 30°C, and the temperature inside the test chamber increases by 5°C every 5s until the temperature of the test chamber reaches 50°C.

[0084] It is understandable that the surface temperature of the target to be measured can be detected by a thermal imager or an infrared thermometer. The specific measuring equipment and method are existing technologies and will not be described in detail.

[0085] By combining environmental impact characterization values ​​with standard temperature parameters, this method accurately determines initial temperature parameters. Fixing the target to be tested at the bottom of the test chamber ensures material stability during testing, avoiding test errors caused by movement or vibration. By adjusting the temperature between the target surface and the top of the test chamber, the temperature gradient can be precisely controlled. Through precise control and real-time monitoring, thermal performance issues can be quickly identified, reducing unnecessary testing time and resource waste, and improving subsequent test accuracy and efficiency.

[0086] Specifically, in step S3, determining the temperature abnormality area includes:

[0087] Step S33, determining the temperature change characteristic value at each position based on the surface temperature change of the target to be measured during the temperature gradient processing;

[0088] Step S34: determining an abnormal temperature area based on the temperature change characteristic values ​​at various locations on the surface of the target to be measured.

[0089] During implementation, for any location, a surface temperature change curve is constructed based on the surface temperature changes during the temperature gradient process. The ratio of the duration of time that the slope of this curve is greater than the preset slope to the preset duration is determined as the temperature change characteristic value corresponding to that location. The actual implementation personnel can set the preset duration and preset slope based on actual conditions. Preferably, the preset duration is set to a value range of 4s to 8s, and the preset slope is set to a value range of 0.8 to 1.5.

[0090] It is understood that the temperature change characteristic value corresponding to each location is compared with the preset change characteristic value. If the temperature change characteristic value of any location is greater than the preset change characteristic value, the location is determined to be an abnormal location, and the minimum enclosing area corresponding to each abnormal location is determined to be the temperature abnormal area. In actual implementation, the preset change characteristic value can be set based on the average of the temperature change characteristic values ​​that have passed the qualification test in historical data.

[0091] By analyzing the temperature changes at various locations on the surface of the target to be measured during the temperature gradient processing, the present invention can quantify the temperature change characteristic values ​​at each location and accurately locate the temperature abnormality areas. The temperature abnormality areas are the weak points of the waterproof performance. Subsequent spray tests can focus on these areas in a more targeted manner, thereby improving detection efficiency and accuracy.

[0092] Step S4, dividing the temperature abnormal area into a plurality of abnormal sub-areas, and performing separation processing on the waterproof layer of each abnormal sub-area, wherein the separation thickness of the waterproof layer of each abnormal sub-area is different;

[0093] In practice, the temperature anomaly region is evenly divided into several abnormal subregions. The number of abnormal subregions is positively correlated with the number of abnormal locations. Each abnormal subregion is consecutively numbered, and the separation thickness increases with each number. The increase in separation thickness is constant. In actual application, the increase in separation thickness can be determined based on the thickness of the waterproof layer and the number of abnormal subregions.

[0094] Step S5: performing a plurality of spray tests on each abnormal sub-area after separation based on a preset spray method to obtain a waterproof status parameter corresponding to each abnormal sub-area;

[0095] Specifically, in step S5, the preset spraying method performs a spray test with a preset spraying water pressure and a preset spraying time.

[0096] In implementation, the number of spray tests may be determined based on the number of abnormal sub-regions. Preferably, the number of spray tests is 1 to 2 times the number of abnormal sub-regions.

[0097] It can be understood that the waterproof status parameters include leakage depth, leakage point density, etc.

[0098] Step S6: determining whether the waterproof performance of the target to be measured meets a preset standard based on the waterproof state parameters and separation thickness corresponding to each abnormal sub-region, and adjusting the initial simulation environment parameters based on the determination result.

[0099] See also Figure 3 As shown in FIG. , it is a logic determination diagram for determining whether the waterproof performance of the target to be tested meets the preset standard according to an embodiment of the present invention; specifically, in the step S6, it includes:

[0100] The waterproof evaluation value of the target to be measured is determined based on the waterproof state parameters and separation thickness corresponding to each of the abnormal sub-regions, and whether the waterproof performance of the target to be measured meets a preset standard is determined based on the waterproof evaluation value.

[0101] In implementation, the waterproof performance of the target under test is determined to meet the preset standard based on the comparison result of the waterproof evaluation value and the preset evaluation value. If the waterproof evaluation value is greater than the preset evaluation value, the waterproof performance of the target under test is determined to meet the preset standard. If the waterproof evaluation value is less than or equal to the preset evaluation value, the waterproof performance of the target under test is determined to not meet the preset standard. The actual implementation personnel can set the preset evaluation value based on the actual situation or the average of the waterproof evaluation values ​​that have passed the qualification test in historical data.

[0102] Specifically, step S6 includes:

[0103] Step S61, determining a comparison state parameter corresponding to each abnormal sub-region based on the separation thickness corresponding to each abnormal sub-region;

[0104] Step S62 : determining the waterproof evaluation value of the target to be measured based on the comparison result of the comparison state parameter corresponding to each abnormal sub-region and the waterproof state parameter.

[0105] In implementation, a training sample can be constructed based on the state parameters and separation thickness of the target to be tested that have passed the qualification test after the spray test in the historical data, and the initial neural network model is trained according to the training sample to obtain a state parameter analysis model, and the separation thickness corresponding to each abnormal sub-region is input into the state parameter analysis model respectively to obtain the comparison state parameters corresponding to each abnormal sub-region output by the state parameter analysis model.

[0106] It can be understood that in actual application, the comparison state parameters and the waterproof state parameters are normalized respectively, and the comparison state parameters A1, A2, ..., A corresponding to any abnormal sub-region are g ,…,A h , waterproof state parameters B1, B2, ..., B g ,…,B h , the waterproof characteristic value MP corresponding to the abnormal sub-region is sqrt(∑ h g＝1 (A g -B g ) 2 ), where g = 1, 2, ..., h, and h is the number of state parameters.

[0107] It can be understood that the waterproof coefficient corresponding to any abnormal sub-region is determined according to the ratio of the separation thickness corresponding to the abnormal sub-region to the waterproof layer thickness, and a weighted sum is performed based on the waterproof characteristic values ​​corresponding to each abnormal sub-region and the waterproof coefficient to determine the waterproof evaluation value of the target to be measured. For example, the waterproof characteristic values ​​R1, R2, ..., R corresponding to each abnormal sub-region are p ,…,R q , the waterproof coefficients r1, r2, ..., r corresponding to each abnormal sub-region p ,…,r q , then the waterproof evaluation value FP of the target to be tested is ∑ q p＝1 (r p ×R p ), where p = 1, 2, ..., q, where q is the number of abnormal sub-regions.

[0108] The present invention quantifies the influence of the separation thickness on the waterproof performance by combining the separation thickness of the waterproof layer in each abnormal sub-region, determines the waterproof evaluation value by comparing the comparison state parameters corresponding to each abnormal sub-region with the waterproof state parameters, and evaluates the waterproof performance under different thicknesses. This enables the waterproof evaluation value to accurately reflect the waterproof performance of the material, thereby improving the detection accuracy and efficiency.

[0109] Specifically, in step S6, adjusting the initial simulation environment parameters based on the determination result includes:

[0110] If the waterproof performance of the target to be measured meets the preset standard, determining a first parameter adjustment coefficient based on the waterproof evaluation value, and determining an increase in the initial simulated environment parameter based on the first parameter adjustment coefficient;

[0111] In implementation, the difference between the waterproof evaluation value and the preset evaluation value is determined as the first difference, and the ratio of the first difference to the preset evaluation value is determined as the first parameter adjustment coefficient, and the product of the first parameter adjustment coefficient and the initial simulation environment parameter is determined as the increase in the initial simulation environment parameter.

[0112] It is understandable that in actual application, the initial simulation environment parameters can be adjusted according to the increase in the initial simulation environment parameters, and environmental simulation tests can be performed based on the adjusted initial simulation environment parameters to perform waterproof performance tests multiple times to ensure the accuracy of waterproof performance tests.

[0113] If the waterproof performance of the target to be measured does not meet the preset standard, a second parameter adjustment coefficient is determined based on the waterproof evaluation value, and a reduction amount of the initial simulation environment parameter is determined based on the second parameter adjustment coefficient.

[0114] In implementation, the difference between the preset evaluation value and the waterproof evaluation value is determined as the second difference, and the ratio of the second difference to the preset evaluation value is determined as the second parameter adjustment coefficient, and the product of the second parameter adjustment coefficient and the initial simulated environment parameter is determined as the reduction amount of the initial simulated environment parameter.

[0115] It is understandable that in actual application, the initial simulation environment parameters can be adjusted according to the reduction amount of the initial simulation environment parameters, and the environmental simulation test can be performed based on the adjusted initial simulation environment parameters to perform waterproof performance tests multiple times to avoid misjudgment.

[0116] The present invention determines the initial simulation environment parameters based on the initial structural parameters and initial surface parameters of the target to be tested, so that subsequent environmental simulation tests can more accurately reflect the test environment conditions suitable for the target to be tested, avoid detection deviations caused by blind setting of environmental parameters, and improve the reliability and relevance of test results. Through environmental simulation testing, the initial response of the target to be tested under the test environment conditions can be evaluated, providing a reference benchmark for subsequent temperature gradient processing, which helps to accurately capture the relationship between environmental factors and material performance changes. By performing temperature gradient processing on the target to be tested based on the environmental impact characterization value to determine the temperature anomaly area, it is possible to focus on the key areas where hidden cracks may occur in the material due to temperature changes, which can improve detection efficiency and detection accuracy. The temperature anomaly area is divided into several abnormal sub-areas, the problem area is further refined, and the waterproof layer of each abnormal sub-area is separated and processed respectively, providing multi-dimensional data support for evaluating the waterproof ability of the material after the waterproof layer is damaged in actual use. By performing several spray tests based on a preset spray method, the waterproof performance of the material under different conditions can be dynamically reflected, reducing interference from accidental factors and improving detection accuracy. Combining the waterproof status parameters and separation thickness of each abnormal sub-area to determine whether the material's waterproof performance meets the preset standards, and adjusting the initial simulation environment parameters accordingly, can more comprehensively and accurately evaluate the overall waterproof performance of the target to be tested. Adjusting the initial simulation environment parameters according to the judgment results forms a feedback mechanism, continuously optimizes the test process and environmental parameter settings, and improves the adaptability and accuracy of detection.

[0117] See also Figure 4 As shown in FIG, which is a structural block diagram of a waterproof performance detection system according to an embodiment of the present invention, an embodiment of the present invention further provides a waterproof performance detection system, including:

[0118] A parameter acquisition module is used to obtain the initial structural parameters and initial surface parameters of the target to be measured;

[0119] a parameter analysis module connected to the parameter acquisition module, for determining initial simulation environment parameters based on the initial structural parameters and the initial surface parameters;

[0120] An environmental simulation test module, connected to the parameter analysis module, for performing an environmental simulation test on the target to be tested based on the initial simulated environmental parameters to obtain an environmental impact characterization value of the target to be tested;

[0121] a temperature gradient processing module connected to the environmental simulation test module, configured to perform temperature gradient processing on the target to be tested based on the environmental impact characterization value to determine an abnormal temperature area;

[0122] a spray test module connected to the temperature gradient processing module, configured to divide the temperature abnormality region into a plurality of abnormal sub-regions, perform separation processing on the waterproof layer of each abnormal sub-region, and perform a plurality of spray tests on each abnormal sub-region after separation processing based on a preset spray mode to obtain waterproof status parameters corresponding to each abnormal sub-region; wherein the separation thickness of the waterproof layer of each abnormal sub-region is different;

[0123] A determination and adjustment module is connected to the spray test module and the parameter analysis module respectively, and is used to determine whether the waterproof performance of the target to be tested meets the preset standards based on the waterproof status parameters and separation thickness corresponding to each of the abnormal sub-areas, and adjust the initial simulation environment parameters based on the determination result.

[0124] Specifically, the waterproof performance detection system provided by the embodiment of the present invention can adopt the waterproof performance detection method of the above-mentioned energy-saving and environmentally friendly curtain wall material to achieve the same technical effect, which will not be repeated here.

[0125] Thus far, the technical solutions of the present invention have been described in conjunction with the preferred embodiments shown in the accompanying drawings. However, it will be readily understood by those skilled in the art that the scope of protection of the present invention is obviously not limited to these specific embodiments. Without departing from the principles of the present invention, those skilled in the art may make equivalent changes or substitutions to the relevant technical features, and the technical solutions after such changes or substitutions will fall within the scope of protection of the present invention.

Claims

1. A method for detecting the waterproof performance of energy-saving and environmentally friendly curtain wall materials, characterized in that: include: Step S1, obtaining initial structural parameters and initial surface parameters of the target to be measured to determine initial simulation environment parameters; Step S2, performing an environmental simulation test on the target to be measured based on the initial simulated environmental parameters to obtain an environmental impact characterization value of the target to be measured; Step S3, performing temperature gradient processing on the target to be measured based on the environmental impact characterization value to determine a temperature abnormality area; Step S4, dividing the temperature abnormal area into a plurality of abnormal sub-areas, and performing separation processing on the waterproof layer of each abnormal sub-area, wherein the separation thickness of the waterproof layer of each abnormal sub-area is different; Step S5: performing a plurality of spray tests on each abnormal sub-area after separation based on a preset spray method to obtain a waterproof status parameter corresponding to each abnormal sub-area; Step S6: determining whether the waterproof performance of the target to be measured meets a preset standard based on the waterproof state parameters and separation thickness corresponding to each abnormal sub-region, and adjusting the initial simulation environment parameters based on the determination result.

2. The method for detecting the waterproof performance of energy-saving and environment-friendly curtain wall materials according to claim 1, characterized in that: In step S1, determining the initial simulation environment parameters includes: Step S11, determining a key comprehensive characterization value based on the initial structural parameters and the initial surface parameters; Step S12: determining the initial simulation environment parameters based on the key comprehensive characterization value and standard simulation environment parameters.

3. The method for detecting the waterproof performance of energy-saving and environment-friendly curtain wall materials according to claim 2, characterized in that: In step S2, determining the environmental impact characterization value includes: Step S21, obtaining simulated structural parameters and simulated surface parameters of the target to be tested after the environmental simulation test; Step S22, determining a simulated structure characteristic value based on a comparison result between the simulated structure parameter and the initial structure parameter; Step S23, determining simulated surface characteristic values ​​based on a comparison result between the simulated surface parameters and the initial surface parameters; Step S24: determining the environmental impact characterization value based on the simulated structural characteristic value and the simulated surface characteristic value.

4. The method for detecting the waterproof performance of energy-saving and environment-friendly curtain wall materials according to claim 1, characterized in that: In step S3, the temperature gradient treatment process includes: Step S31, determining initial temperature parameters based on the environmental impact characterization value and standard temperature parameters, wherein the temperature parameters include a temperature change amount and a change time interval; Step S32 : fixing the target to be measured on the bottom of the test box, adjusting the temperature between the surface of the target to be measured and the top of the test box based on the initial temperature parameter, and detecting the surface temperature of the target to be measured in real time.

5. The method for detecting the waterproof performance of energy-saving and environment-friendly curtain wall materials according to claim 4, characterized in that: In step S3, determining the abnormal temperature area includes: Step S33, determining the temperature change characteristic value at each position based on the surface temperature change of the target to be measured during the temperature gradient processing; Step S34: determining an abnormal temperature area based on the temperature change characteristic values ​​at various locations on the surface of the target to be measured.

6. The method for detecting the waterproof performance of energy-saving and environment-friendly curtain wall materials according to claim 5, characterized in that: In the step S5, the preset spraying mode performs a spraying test with a preset spraying water pressure and a preset spraying time.

7. The method for detecting the waterproof performance of energy-saving and environment-friendly curtain wall materials according to claim 1, characterized in that: In the step S6, it includes: The waterproof evaluation value of the target to be measured is determined based on the waterproof state parameters and separation thickness corresponding to each of the abnormal sub-regions, and whether the waterproof performance of the target to be measured meets a preset standard is determined based on the waterproof evaluation value.

8. The method for detecting the waterproof performance of energy-saving and environment-friendly curtain wall materials according to claim 7, characterized in that: In the step S6, it includes: Step S61, determining a comparison state parameter corresponding to each abnormal sub-region based on the separation thickness corresponding to each abnormal sub-region; Step S62 : determining the waterproof evaluation value of the target to be measured based on the comparison result of the comparison state parameter corresponding to each abnormal sub-region and the waterproof state parameter.

9. The method for detecting the waterproof performance of energy-saving and environment-friendly curtain wall materials according to claim 8, characterized in that: In step S6, adjusting the initial simulation environment parameters based on the determination result includes: If the waterproof performance of the target to be measured meets the preset standard, determining a first parameter adjustment coefficient based on the waterproof evaluation value, and determining an increase in the initial simulated environment parameter based on the first parameter adjustment coefficient; If the waterproof performance of the target to be measured does not meet the preset standard, a second parameter adjustment coefficient is determined based on the waterproof evaluation value, and a reduction amount of the initial simulation environment parameter is determined based on the second parameter adjustment coefficient.

10. A waterproof performance detection system, which adopts the waterproof performance detection method of energy-saving and environmentally friendly curtain wall materials according to any one of claims 1 to 9, characterized in that: include: A parameter acquisition module is used to obtain the initial structural parameters and initial surface parameters of the target to be measured; a parameter analysis module connected to the parameter acquisition module, for determining initial simulation environment parameters based on the initial structural parameters and the initial surface parameters; An environmental simulation test module, connected to the parameter analysis module, for performing an environmental simulation test on the target to be tested based on the initial simulated environmental parameters to obtain an environmental impact characterization value of the target to be tested; a temperature gradient processing module connected to the environmental simulation test module, configured to perform temperature gradient processing on the target to be tested based on the environmental impact characterization value to determine an abnormal temperature area; a spray test module connected to the temperature gradient processing module, configured to divide the temperature abnormality region into a plurality of abnormal sub-regions, perform separation processing on the waterproof layer of each abnormal sub-region, and perform a plurality of spray tests on each abnormal sub-region after separation processing based on a preset spray mode to obtain waterproof status parameters corresponding to each abnormal sub-region; wherein the separation thickness of the waterproof layer of each abnormal sub-region is different; A determination and adjustment module is connected to the spray test module and the parameter analysis module respectively, and is used to determine whether the waterproof performance of the target to be tested meets the preset standards based on the waterproof status parameters and separation thickness corresponding to each of the abnormal sub-areas, and adjust the initial simulation environment parameters based on the determination result.

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