A method and system for detecting the waterproof performance of an energy-saving and environment-friendly curtain wall material

Abstract

The present application relates to the technical field of curtain wall waterproof detection, and more particularly to a kind of energy-saving and environment-friendly curtain wall material waterproof performance detection method and system, comprising: obtaining the initial structure parameter and initial surface parameter of the target to be measured, based on initial simulation environment parameter, the environment simulation test is carried out to the target to be measured, based on environmental influence characterization value, temperature gradient processing is carried out to the target to be measured, to determine temperature anomaly area;Temperature anomaly area is divided into several abnormal subareas, and the waterproof layer of each abnormal subarea is separately processed;Based on the preset spraying mode, the separated abnormal subareas are sprayed several times;Based on the waterproof state parameters and the separation thickness of each abnormal subarea, it is determined whether the waterproof performance of the target to be measured meets the preset standard, and the initial simulation environment parameters are adjusted based on the determination result.The present application can improve the accuracy and efficiency of waterproof performance detection.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of curtain wall waterproof detection, and particularly relates to a waterproof performance detection method and system for energy-saving and environment-friendly curtain wall materials. BACKGROUND

[0002] The building curtain wall is the outer wall enclosure of a building, which is composed of a panel and a supporting structure system, has a certain displacement capacity relative to the main body or a certain deformation capacity, does not bear the action of the main structure, and is a building outer enclosure wall or a decorative structure with a light weight wall body with a decorative effect commonly used in modern large and high-rise buildings. Waterproofness is one of the important properties of the curtain wall, and therefore the waterproofness of the building curtain wall material needs to be carefully detected before use.

[0003] The energy-saving and environment-friendly curtain wall material usually has good heat insulation performance, and there may be hidden gaps inside due to temperature differences. These gaps are difficult to be found in conventional water tightness detection, but they will intensify leakage due to thermal expansion and contraction in actual use. The existing detection method does not correlate the thermal performance with the waterproof performance, cannot comprehensively evaluate the comprehensive waterproof capacity of the material, is difficult to ensure the detection accuracy, and has a long detection process and low efficiency. SUMMARY

[0004] Therefore, the present application provides a waterproof performance detection method and system for energy-saving and environment-friendly curtain wall materials to overcome the problems in the prior art that the thermal performance is not correlated with the waterproof performance, the comprehensive waterproof capacity 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-mentioned purpose, in one aspect, the present application provides a waterproof performance detection method for energy-saving and environment-friendly curtain wall materials, comprising:

[0006] Step S1, obtaining initial structure parameters and initial surface parameters of a target to be detected to determine initial simulation environment parameters;

[0007] Step S2, performing environmental simulation testing on the target to be detected based on the initial simulation environment parameters to obtain an environmental influence characterization value of the target to be detected;

[0008] Step S3, performing temperature gradient processing on the target to be detected based on the environmental influence characterization value to determine a temperature abnormal area;

[0009] Step S4, dividing the temperature abnormal area into a plurality of abnormal sub-areas, and separately performing separation processing on the waterproof layers of the abnormal sub-areas, wherein the separation thicknesses of the waterproof layers of the abnormal sub-areas are different;

[0010] Step S5, based on the preset spraying mode, the abnormal sub-regions after the separation processing are sprayed for several times to obtain the waterproof state parameters corresponding to each abnormal sub-region;

[0011] Step S6, based on the waterproof state parameters corresponding to each abnormal sub-region and the separation thickness, it is determined whether the waterproof performance of the target to be tested meets the preset standard, and the initial simulation environment parameters are adjusted based on the determination result.

[0012] Further, in the step S1, the initial simulation environment parameters are determined, including:

[0013] Step S11, based on the initial structure parameters and the initial surface parameters, a key comprehensive characteristic value is determined;

[0014] Step S12, based on the key comprehensive characteristic value and the standard simulation environment parameters, the initial simulation environment parameters are determined.

[0015] Further, in the step S2, the environmental influence characteristic value is determined, including:

[0016] Step S21, the simulation structure parameters and the simulation surface parameters of the target to be tested after the environmental simulation test are obtained;

[0017] Step S22, based on the comparison result of the simulation structure parameters and the initial structure parameters, a simulation structure characteristic value is determined;

[0018] Step S23, based on the comparison result of the simulation surface parameters and the initial surface parameters, a simulation surface characteristic value is determined;

[0019] Step S24, based on the simulation structure characteristic value and the simulation surface characteristic value, the environmental influence characteristic value is determined.

[0020] Further, in the step S3, the process of the temperature gradient processing includes:

[0021] Step S31, based on the environmental influence characteristic value and the standard temperature parameters, an initial temperature parameter is determined, wherein the temperature parameter includes a temperature change amount and a change time interval;

[0022] Step S32, the target to be tested is fixed at the bottom of the test box, the temperature between the surface of the target to be tested and the top of the test box is adjusted based on the initial temperature parameter, and the surface temperature of the target to be tested is detected in real time.

[0023] Further, in the step S3, the temperature abnormal region is determined, including:

[0024] Step S33, determining temperature variation characteristic values of each position based on surface temperature variation of the target object during the temperature gradient processing;

[0025] Step S34, determining temperature abnormal area based on the temperature variation characteristic values of each position of the target object surface.

[0026] Further, in the step S5, the preset spraying mode sprays at a preset spraying water pressure and a preset spraying time.

[0027] Further, in the step S6, comprising:

[0028] Determine waterproof evaluation value of the target object based on the waterproof state parameters and the separation thickness of each abnormal sub-area, and determine whether the waterproof performance of the target object meets the preset standard based on the waterproof evaluation value.

[0029] Further, in the step S6, comprising:

[0030] Step S61, determining comparison state parameters of each abnormal sub-area based on the separation thickness of each abnormal sub-area;

[0031] Step S62, determining waterproof evaluation value of the target object based on the comparison results of the comparison state parameters and the waterproof state parameters of each abnormal sub-area.

[0032] Further, in the step S6, adjusting the initial simulation environment parameters based on the determination results, comprising:

[0033] If the waterproof performance of the target object meets the preset standard, determining a first parameter adjustment coefficient based on the waterproof evaluation value, and determining an increasing amount of the initial simulation environment parameters based on the first parameter adjustment coefficient;

[0034] If the waterproof performance of the target object does not meet the preset standard, determining a second parameter adjustment coefficient based on the waterproof evaluation value, and determining a decreasing amount of the initial simulation environment parameters based on the second parameter adjustment coefficient.

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

[0036] A parameter acquisition module is used to acquire initial structure parameters and initial surface parameters of a target object;

[0037] A parameter analysis module is connected with the parameter acquisition module, and is used to determine initial simulation environment parameters based on the initial structure parameters and the initial surface parameters;

[0038] an environmental simulation test module connected with the parameter analysis module, configured to perform environmental simulation test on the target based on the initial simulation environment parameters to obtain environmental influence characteristic values of the target;

[0039] a temperature gradient processing module connected with the environmental simulation test module, configured to perform temperature gradient processing on the target based on the environmental influence characteristic values to determine temperature abnormal regions;

[0040] a spraying test module connected with the temperature gradient processing module, configured to divide the temperature abnormal regions into a plurality of abnormal sub-regions, perform separation processing on the waterproof layers of the abnormal sub-regions respectively, and perform a plurality of spraying tests on the abnormal sub-regions after the separation processing based on a preset spraying mode to obtain waterproof state parameters corresponding to the abnormal sub-regions; wherein the separation thicknesses of the waterproof layers of the abnormal sub-regions are different;

[0041] a determination and adjustment module connected with the spraying test module and the parameter analysis module respectively, configured to determine whether the waterproof performance of the target meets a preset standard based on the waterproof state parameters corresponding to the abnormal sub-regions and the separation thicknesses, and adjust the initial simulation environment parameters based on a determination result.

[0042] Compared with the prior art, the beneficial effects of the present application are that the present application can make the subsequent environmental simulation test more accurately reflect the test environment conditions suitable for the target to be tested by determining the initial simulation environment parameters based on the initial structure parameters and the initial surface parameters of the target to be tested, avoid detection deviation caused by blind setting of environmental parameters, and improve the reliability and relevance of the 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 correlation between environmental factors and material performance changes. By performing temperature gradient processing on the target to be tested based on the environmental influence characterization value, the temperature abnormal region can be determined, which can focus on the key region where the material may produce hidden gaps due to temperature changes, and can improve the detection efficiency and accuracy. Dividing the temperature abnormal region into several abnormal sub-regions, further refining the problem area, and separately processing the waterproof layer of each abnormal sub-region, provides multi-dimensional data support for evaluating the waterproof ability of the material after the waterproof layer is damaged in actual use. Through several spraying tests based on the preset spraying method, the waterproof performance of the material under different conditions can be dynamically reflected, reducing accidental factor interference and improving detection accuracy. Combining the waterproof state parameters and separation thickness of each abnormal sub-region, it is determined whether the waterproof performance of the material meets the preset standard, and the initial simulation environment parameters are adjusted accordingly, which can more comprehensively and accurately evaluate the overall waterproof performance of the target to be tested. According to the determination result, the initial simulation environment parameters are adjusted to form a feedback mechanism, continuously optimizing the test process and environmental parameter setting, improving the adaptability and accuracy of detection.

[0043] Further, the present application can comprehensively evaluate the comprehensive performance of the material by integrating the initial structure parameters and the initial surface parameters. The determination of the key comprehensive characterization value provides a quantitative standard for subsequent environmental simulation testing and temperature gradient processing. The initial simulation environment parameters are determined based on the key comprehensive characterization value and the standard simulation environment parameters, the test conditions are accurately set, and the reliability of the test results is improved, thereby improving the accuracy of subsequent waterproof performance detection.

[0044] Further, the present application can quantify the changes in the structure of the material after environmental simulation testing by comparing the simulation structure parameters of the target to be tested after environmental simulation testing with the initial structure parameters to determine the simulation structure characteristic value. By comparing the simulation surface parameters of the target to be tested after environmental simulation testing with the initial surface parameters to determine the simulation surface characteristic value, the changes in the surface of the material after environmental simulation testing can be quantified. By integrating the simulation structure characteristic value and the simulation surface characteristic value, the influence of environmental simulation testing on the overall performance of the material can be comprehensively evaluated to ensure that the subsequent testing is more targeted and effective, further improving the detection accuracy.

[0045] Further, the present application can accurately determine the initial temperature parameter by combining the environmental influence characterization value and the standard temperature parameter: fixing the target to be tested at the bottom of the test box ensures the stability of the material during the test, avoiding test errors caused by movement or vibration. By adjusting the temperature between the surface of the target to be tested and the top of the test box, the temperature gradient can be accurately controlled. Through accurate control and real-time monitoring, the thermal performance problems of the material can be quickly identified, reducing unnecessary test time and resource waste, and improving the accuracy and efficiency of subsequent detection.

[0046] Further, the present application can accurately determine the initial temperature parameter by combining the environmental influence characterization value and the standard temperature parameter: fixing the target to be tested at the bottom of the test box ensures the stability of the material during the test, avoiding test errors caused by movement or vibration. By adjusting the temperature between the surface of the target to be tested and the top of the test box, the temperature gradient can be accurately controlled. Through accurate control and real-time monitoring, the thermal performance problems of the material can be quickly identified, reducing unnecessary test time and resource waste, and improving the accuracy and efficiency of subsequent detection.

[0047] Further, the present application can accurately determine the initial temperature parameter by combining the environmental influence characterization value and the standard temperature parameter: fixing the target to be tested at the bottom of the test box ensures the stability of the material during the test, avoiding test errors caused by movement or vibration. By adjusting the temperature between the surface of the target to be tested and the top of the test box, the temperature gradient can be accurately controlled. Through accurate control and real-time monitoring, the thermal performance problems of the material can be quickly identified, reducing unnecessary test time and resource waste, and improving the accuracy and efficiency of subsequent detection. BRIEF DESCRIPTION OF DRAWINGS

[0048] Figure 1 The flowchart of the energy-saving and environment-friendly curtain wall material waterproof performance detection method of the embodiment of the present application is shown in the figure.

[0049] Figure 2 The flowchart of determining the environmental influence characterization value of the embodiment of the present application is shown in the figure.

[0050] Figure 3 The logic decision diagram for determining whether the waterproof performance of the target to be tested meets the preset standard of the embodiment of the present application is shown in the figure.

[0051] Figure 4 The structure block diagram of the waterproof performance detection system of the embodiment of the present application is shown in the figure. DETAILED DESCRIPTION

[0052] In order to make the purpose and advantages of the present application more clear and explicit, the present application will be further described below with reference to the embodiments; it should be understood that the specific embodiments described herein are only used to explain the present application, and are not used to limit the protection scope of the present application.

[0053] The preferred embodiments of the present application 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 principles of the present application, and are not used to limit the protection scope of the present application.

[0054] It should be noted that in the description of the present application, the terms "upper", "lower", "left", "right", "inner", "outer" and the like indicate the direction or positional relationship of the terms based on the direction or positional relationship shown in the drawings, which is only for the convenience of description, and does not indicate or imply that the device or element must have a particular orientation, be constructed and operated in a particular orientation, and therefore cannot be understood as a limitation on the present application.

[0055] In addition, it should be noted that in the description of the present application, unless otherwise explicitly specified and limited, the terms "mounting", "connecting", "connecting" should be understood broadly, for example, it can be fixedly connected, or it can be detachably connected, or integrally connected; it can be mechanically connected, or it can be electrically connected; it can be directly connected, or it can be indirectly connected through an intermediate medium, or it can be connected inside two elements. For those skilled in the art, the specific meaning of the above terms in the present application can be understood according to the specific circumstances.

[0056] Please refer to Figure 1 The present application provides a kind of waterproof performance detection method of energy-saving and environment-friendly curtain wall material of the embodiment of the present application, as shown in the flow chart, including:

[0057] Step S1, the initial structure parameter of the target to be measured and the initial surface parameter are acquired to determine the initial simulation environment parameter;

[0058] In implementation, the structure parameter includes waterproof layer thickness, porosity, etc., and the surface parameter includes surface tension, contact angle, surface roughness, etc., and the acquisition mode is not limited, which is prior art.It can be understood that in actual application process, the structure parameter and the surface parameter of the target to be measured obtained are normalized respectively, to convert data to a unified scale and eliminate dimension.

[0059] Specifically, in the step S1, the initial simulation environment parameter is determined, including:

[0060] Step S11, the key comprehensive characteristic value is determined based on the initial structure parameter and the initial surface parameter;

[0061] Step S12, the initial simulation environment parameter is determined based on the key comprehensive characteristic value and the standard simulation environment parameter.

[0062] In implementation, the initial structure characteristic value is determined based on the comparison result of initial structure parameter and standard structure parameter, and the initial surface characteristic value is determined based on the comparison result of initial surface parameter and standard structure parameter, for example, initial structure parameter CY1, CY2, …, CY j , …, CY m And standard structure parameter CE1, CE2, …, CEj , …, CE m , then the initial structure 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 structure parameters; the initial surface parameters BY1, BY2, …, BY i , …, BY n , and 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 can be understood that the actual implementer can set the standard structure parameters based on the mean values of the normalized structure parameters that pass the eligibility test in the historical data, and the actual implementer can set the standard surface parameters based on the mean values of the normalized surface parameters that pass the eligibility test in the historical data.

[0064] It can be understood that the mean values of the initial structure characteristic values and the initial surface characteristic values are determined as the key comprehensive characteristic values.

[0065] It can be understood that the simulation environment parameters include temperature, humidity, pH, air pressure, wind speed, etc., and the actual implementer can set the standard simulation environment parameters based on the actual situation, and 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 characteristic value and the standard simulation environment parameter is determined as the initial simulation environment parameter, for example, the product of the key comprehensive characteristic value and the standard temperature is determined as the initial temperature.

[0067] The present application can comprehensively evaluate the comprehensive performance of the material by integrating the initial structure parameter and the initial surface parameter, the determination of the key comprehensive characteristic value provides a quantitative standard for subsequent environmental simulation test and temperature gradient processing, the initial simulation environment parameter is determined according to the key comprehensive characteristic value and the standard simulation environment parameter, the test conditions are accurately set, the reliability of the test result can be improved, and thus the accuracy of the subsequent waterproof performance detection can be improved.

[0068] Step S2, performing environmental simulation test on the to-be-tested target based on the initial simulation environment parameter to obtain an environmental influence characteristic value of the to-be-tested target;

[0069] Please refer to Figure 2 As shown in the figure, it is a flowchart of determining the environmental influence characteristic value according to the embodiment of the present application; specifically, in the step S2, the environmental influence characteristic value is determined, which comprises:

[0070] Step S21, obtaining the simulation structure parameter and the simulation surface parameter of the to-be-tested target after the environmental simulation test;

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

[0072] Step S23, determining a simulation surface characteristic value based on the comparison result of the simulation surface parameter and the initial surface parameter;

[0073] Step S24, determining the environmental influence characteristic value based on the simulation structure characteristic value and the simulation surface characteristic value.

[0074] In the implementation, the environmental simulation test can be performed by an environmental simulation box, and the simulation environment parameter can be accurately controlled.

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

[0076] It can be understood that the product of the simulation structure characteristic value and the simulation surface characteristic value is determined as the environmental influence characteristic value.

[0077] The simulation structure characteristic value is determined by comparing the simulation structure parameters of the target to be tested after the environmental simulation test with the initial structure parameters, which can quantify the changes in the material in the structure aspect after the environmental simulation test. The simulation surface characteristic value is determined by comparing the simulation surface parameters of the target to be tested after the environmental simulation test with the initial surface parameters, which can quantify the changes in the material in the surface aspect after the environmental simulation test. By integrating the simulation structure characteristic value and the simulation surface characteristic value, the influence of the environmental simulation test on the overall performance of the material can be comprehensively evaluated, ensuring that the subsequent test is more targeted and effective, and further improving the detection accuracy.

[0078] Step S3, performing temperature gradient processing on the target to be tested based on the environmental influence characteristic value to determine a temperature abnormal area;

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

[0080] Step S31, determining an initial temperature parameter based on the environmental influence characteristic value and a standard temperature parameter, wherein the temperature parameter includes a temperature change amount and a change time interval;

[0081] Step S32, fixing the target to be tested at the bottom of a test box body, adjusting the temperature between the surface of the target to be tested and the top of the test box body based on the initial temperature parameter, and detecting the surface temperature of the target to be tested 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 amount is determined as the initial temperature change amount, 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 / 3-3 / 4 of the temperature threshold that can be tolerated by the target to be tested.

[0083] In a specific embodiment, the starting temperature is 30 DEG C, the ending temperature is 50 DEG C, the initial temperature change amount is 5 DEG C, and the initial change time interval is 5 s, so that the temperature gradient processing starts from 30 DEG C, the temperature in the test box is increased by 5 DEG C every 5 s, and the temperature in the test box reaches 50 DEG C.

[0084] It can be understood that the surface temperature of the target to be tested can be detected by a thermal imager or an infrared thermometer, and specific measurement equipment and methods are prior art and are not described herein.

[0085] The present application can accurately determine the initial temperature parameter by combining the environmental impact characterization value and the standard temperature parameter: fixing the target to be tested at the bottom of the test box ensures the stability of the material during the test, and avoids test errors caused by movement or vibration. By adjusting the temperature between the surface of the target to be tested and the top of the test box, the temperature gradient can be accurately controlled. Through accurate control and real-time monitoring, the thermal performance problem of the material can be quickly identified, unnecessary test time and resource waste are reduced, and subsequent detection accuracy and detection efficiency are improved.

[0086] Specifically, in the step S3, the temperature abnormal area is determined, including:

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

[0088] Step S34, determining the temperature abnormal area based on the temperature change characteristic value of each position of the surface of the target to be tested.

[0089] In implementation, for any position, a surface temperature change curve is constructed according to the surface temperature change during the temperature gradient processing, and the ratio of the duration of the slope on the curve being greater than a preset slope to a preset duration is determined as the temperature change characteristic value corresponding to the position. The actual implementer can set the preset duration and the preset slope based on the actual situation, and preferably, the preset duration is set to 4 s-8 s, and the preset slope is set to 0.8-1.5.

[0090] It can be understood that the temperature change characteristic value of each position is compared with the preset change characteristic value, if the temperature change characteristic value of any position is greater than the preset change characteristic value, the position is determined as an abnormal position, and the minimum surrounding area corresponding to each abnormal position is determined as a temperature abnormal area. The actual implementer can set the preset change characteristic value based on the mean value of the temperature change characteristic value that passes the qualification test in the historical data.

[0091] The application can quantify the temperature change characteristic value of each position by analyzing the temperature change of each position of the target surface in the temperature gradient processing process, accurately locate the temperature abnormal area, and the temperature abnormal area is the weak point of the waterproof performance. The subsequent spray test can more specifically detect these areas, thereby improving the detection efficiency and accuracy.

[0092] Step S4, dividing the temperature abnormal area into a plurality of abnormal sub-areas, and separately processing 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 implementation, the temperature abnormal area is evenly divided into a plurality of abnormal sub-areas, and the number of abnormal sub-areas is positively correlated with the number of abnormal positions. Each abnormal sub-area is given a continuous serial number, and the separation thickness increases with the increase of the serial number, and the separation thickness increases by the same amount. In actual application, the separation thickness increase amount can be determined according to the waterproof layer thickness and the number of abnormal sub-areas.

[0094] Step S5, based on a preset spray mode, a plurality of spray tests are performed on each abnormal sub-area after separation processing to obtain a waterproof state parameter corresponding to each abnormal sub-area;

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

[0096] In implementation, the number of spray tests can be determined based on the number of abnormal sub-areas, and preferably, the number of spray tests is 1-2 times the number of abnormal sub-areas.

[0097] It can be understood that the waterproof state parameter includes the leakage depth, the leakage point density, etc.

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

[0099] Please refer to Figure 3 The figure is a logic determination diagram for determining whether the waterproof performance of the target meets the preset standard according to the embodiment of the application. Specifically, in the step S6, it includes:

[0100] determining the waterproof performance of the target object based on the waterproof evaluation value.

[0101] In implementation, the waterproof performance of the target object is determined to meet the preset standard according to 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, it is determined that the waterproof performance of the target object meets the preset standard. If the waterproof evaluation value is less than or equal to the preset evaluation value, it is determined that the waterproof performance of the target object does not meet the preset standard. The preset evaluation value can be set based on actual situation or average waterproof evaluation value of the target object that passes the qualification test in historical data.

[0102] Specifically, in the step S6, the following steps are included:

[0103] Step S61, determining the 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 object based on the comparison result of the comparison state parameter and the waterproof state parameter corresponding to each abnormal sub-region.

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

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

[0107] It can be understood that the waterproof coefficient corresponding to each abnormal sub-region is determined according to the ratio of the separation thickness corresponding to the abnormal sub-region to the thickness of the waterproof layer, and the waterproof evaluation value of the target to be measured is determined by weighted summation of the waterproof characteristic values corresponding to each abnormal sub-region and the waterproof coefficient. For example, the waterproof characteristic values R1, R2, …, R p , …, R q , the waterproof coefficient r1, r2, …, r p , …, r q corresponding to each abnormal sub-region, then the waterproof evaluation value FP of the target to be measured is ∑ q p＝1 (r p ×R p ), wherein p = 1, 2, …, q, and q is the number of abnormal sub-regions.

[0108] The present application 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, evaluates the waterproof performance under different thicknesses, and can accurately reflect the waterproof performance of the material, improve the detection accuracy and efficiency.

[0109] Specifically, in the step S6, the initial simulation environment parameter is adjusted based on the determination result, including:

[0110] If the waterproof performance of the target to be measured meets the preset standard, a first parameter adjustment coefficient is determined based on the waterproof evaluation value, and an increase amount of the initial simulation environment parameter is determined 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 a first difference, the ratio of the first difference to the preset evaluation value is determined as a first parameter adjustment coefficient, and the product of the first parameter adjustment coefficient and the initial simulation environment parameter is determined as the increase amount of the initial simulation environment parameter.

[0112] It can be understood that in actual application process, the initial simulation environment parameter can be adjusted according to the increase amount of the initial simulation environment parameter, and the environmental simulation test is carried out according to the adjusted initial simulation environment parameter, so as to detect the waterproof performance for multiple times, and ensure the accuracy of the waterproof performance detection.

[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 decrease amount of the initial simulation environment parameter is determined based on the second parameter adjustment coefficient.

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

[0115] It can be understood that in actual application, the initial simulation environment parameter can be adjusted according to the reduction amount of the initial simulation environment parameter, and the environmental simulation test is performed according to the adjusted initial simulation environment parameter, so that the waterproof performance detection is performed multiple times to avoid misjudgment.

[0116] The initial simulation environment parameter is determined based on the initial structure parameter and the initial surface parameter of the target to be tested, so that the subsequent environmental simulation test can more accurately reflect the test environment condition suitable for the target to be tested, the detection deviation caused by blind setting of the environmental parameter is avoided, and the reliability and correlation of the test result are improved. Through the environmental simulation test, the initial response of the target to be tested under the test environment condition can be evaluated, a reference benchmark is provided for subsequent temperature gradient processing, and the correlation between the environmental factors and the material performance change can be accurately captured. The temperature gradient processing is performed on the target to be tested based on the environmental influence characterization value, so as to determine the temperature abnormal region, focus on the key region where the implicit gap of the material may be generated due to temperature change, and improve the detection efficiency and detection accuracy. The temperature abnormal region is divided into a plurality of abnormal sub-regions, the problem region is further refined, the waterproof layer of each abnormal sub-region is separately processed, multi-dimensional data support is provided for evaluating the waterproof ability of the material after the waterproof layer is damaged in actual use, a plurality of spraying tests are performed based on the preset spraying mode, the waterproof performance of the material under different conditions can be dynamically reflected, accidental factor interference is reduced, and the detection accuracy is improved. Whether the waterproof performance of the material meets the preset standard is determined in combination with the waterproof state parameter and the separation thickness of each abnormal sub-region, and the initial simulation environment parameter is adjusted accordingly, so that the overall waterproof performance of the target to be tested can be more comprehensively and accurately evaluated, the initial simulation environment parameter is adjusted according to the determination result, a feedback mechanism is formed, the test process and the environmental parameter setting are continuously optimized, and the adaptability and accuracy of the detection are improved.

[0117] Please refer to Figure 4 The embodiment of the present application also provides a waterproof performance detection system, which comprises:

[0118] The parameter acquisition module is used to acquire the initial structure parameter and the initial surface parameter of the target to be tested.

[0119] The parameter analysis module is connected with the parameter acquisition module, and is used to determine the initial simulation environment parameter based on the initial structure parameter and the initial surface parameter.

[0120] An environmental simulation test module is connected with the parameter analysis module, and is configured to perform environmental simulation test on the target based on the initial simulation environment parameters, so as to obtain environmental influence characteristic values of the target.

[0121] A temperature gradient processing module is connected with the environmental simulation test module, and is configured to perform temperature gradient processing on the target based on the environmental influence characteristic values, so as to determine a temperature abnormal region.

[0122] A spraying test module is connected with the temperature gradient processing module, and is configured to divide the temperature abnormal region into a plurality of abnormal sub-regions, to perform separation processing on a waterproof layer of each abnormal sub-region, and to perform a plurality of spraying tests on each abnormal sub-region based on a preset spraying mode, so as to obtain waterproof state 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 with the spraying test module and the parameter analysis module, and is configured to determine whether the waterproof performance of the target meets a preset standard based on the waterproof state parameters corresponding to each abnormal sub-region and the separation thickness, and to adjust the initial simulation environment parameters based on a determination result.

[0124] Specifically, the waterproof performance detection system provided by the embodiments of the present application can adopt the waterproof performance detection method of the energy-saving and environment-friendly curtain wall material, and achieve the same technical effects, which will not be described here.

[0125] So far, the technical solutions of the present application have been described in combination with the preferred embodiments shown in the drawings, but those skilled in the art can easily understand that the protection scope of the present application is obviously not limited to these specific embodiments. Those skilled in the art can make equivalent changes or replacements to the related technical features without departing from the principles of the present application, and the technical solutions after the changes or replacements will fall within the protection scope of the present application.

Claims

1. A method for detecting the waterproof performance of an energy-saving and environment-friendly curtain wall material, characterized in that, The method comprises the following steps: Step S1, obtaining initial structure parameters and initial surface parameters of a target to be tested to determine initial simulation environment parameters; Step S2, performing environmental simulation testing on the target to be tested based on the initial simulation environment parameters to obtain environmental influence characteristic values of the target to be tested; Step S3, performing temperature gradient processing on the target to be tested based on the environmental influence characteristic values to determine a temperature abnormal region; Step S4, dividing the temperature abnormal region into a plurality of abnormal sub-regions, and separately performing separation processing on the waterproof layers of the abnormal sub-regions, wherein the separation thicknesses of the waterproof layers of the abnormal sub-regions are different; Step S5, performing a plurality of times of spray testing on the abnormal sub-regions after the separation processing based on a preset spray mode to obtain waterproof state parameters corresponding to the abnormal sub-regions; Step S6, determining whether the waterproof performance of the target to be tested meets a preset standard based on the waterproof state parameters corresponding to the abnormal sub-regions and the separation thicknesses, and adjusting the initial simulation environment parameters based on a determination result. 2.The method for detecting waterproof performance of energy-saving and environment-friendly curtain wall material according to claim 1, characterized in that, In the step S1, the initial simulation environment parameters are determined, comprising: Step S11, determining a key comprehensive characteristic value based on the initial structure parameters and the initial surface parameters; Step S12, determining the initial simulation environment parameters based on the key comprehensive characteristic value and standard simulation environment parameters. 3.The method for detecting waterproof performance of energy-saving and environment-friendly curtain wall material according to claim 2, characterized in that, In the step S2, the environmental influence characteristic values are determined, comprising: Step S21, obtaining simulation structure parameters and simulation surface parameters of the target to be tested after environmental simulation testing; Step S22, determining a simulation structure feature value based on a comparison result of the simulation structure parameters and the initial structure parameters; Step S23, determining a simulation surface feature value based on a comparison result of the simulation surface parameters and the initial surface parameters; Step S24, determining the environmental influence characteristic values based on the simulation structure feature value and the simulation surface feature value. 4.The method for detecting waterproof performance of energy-saving and environment-friendly curtain wall material according to claim 1, characterized in that, In the step S3, the process of the temperature gradient processing comprises: Step S31, determining an initial temperature parameter based on the environmental influence characteristic values and standard temperature parameters, wherein the temperature parameters comprise a temperature change amount and a change time interval; Step S32, fixing the target to be tested at the bottom of a test box body, adjusting the temperature between the surface of the target to be tested and the top of the test box body based on the initial temperature parameter, and detecting the surface temperature of the target to be tested in real time. 5.The method for detecting waterproof performance of energy-saving and environment-friendly curtain wall material according to claim 4, characterized in that, In the step S3, the temperature abnormal region is determined, comprising: Step S33, determining a temperature change feature value of each position based on the surface temperature change of the target to be tested in the temperature gradient processing process; Step S34, determining the temperature abnormal region based on the temperature change feature values of each position of the surface of the target to be tested. 6.The method for detecting waterproof performance of energy-saving and environment-friendly curtain wall material according to claim 5, characterized in that, In the step S5, the preset spray mode sprays for testing with a preset spray water pressure and a preset spray time. 7.The method for detecting waterproof performance of energy-saving and environment-friendly curtain wall material according to claim 1, characterized in that, In the step S6, comprising: Determining a waterproof evaluation value of the target to be tested based on the waterproof state parameters corresponding to the abnormal sub-regions and the separation thicknesses, and determining whether the waterproof performance of the target to be tested meets a preset standard based on the waterproof evaluation value. 8.The method for detecting waterproof performance of energy-saving and environment-friendly curtain wall material according to claim 7, characterized in that, In the step S6, comprising: 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 a waterproof evaluation value of the target to be tested based on a comparison result of the comparison state parameter corresponding to each abnormal sub-region and the waterproof state parameter. 9.The method for detecting waterproof performance of energy-saving and environment-friendly curtain wall material according to claim 8, characterized in that, In the step S6, the initial simulation environment parameter is adjusted based on the determination result, including: If the waterproof performance of the target to be tested meets the preset standard, a first parameter adjustment coefficient is determined based on the waterproof evaluation value, and an increase amount of the initial simulation environment parameter is determined based on the first parameter adjustment coefficient; If the waterproof performance of the target to be tested does not meet the preset standard, a second parameter adjustment coefficient is determined based on the waterproof evaluation value, and a decrease amount of the initial simulation environment parameter is determined based on the second parameter adjustment coefficient.

10. A waterproof performance detection system using the waterproof performance detection method of the energy-saving and environment-friendly curtain wall material according to any one of claims 1-9, characterized in that, Including: A parameter acquisition module is used to acquire an initial structure parameter and an initial surface parameter of a target to be tested; A parameter analysis module is connected with the parameter acquisition module and is used to determine an initial simulation environment parameter based on the initial structure parameter and the initial surface parameter; An environment simulation test module is connected with the parameter analysis module and is used to perform environment simulation test on the target to be tested based on the initial simulation environment parameter to acquire an environment influence representation value of the target to be tested; A temperature gradient processing module is connected with the environment simulation test module and is used to perform temperature gradient processing on the target to be tested based on the environment influence representation value to determine a temperature abnormal region; A spraying test module is connected with the temperature gradient processing module and is used to divide the temperature abnormal region into a plurality of abnormal sub-regions, to perform separation processing on a waterproof layer of each abnormal sub-region respectively, and to perform a plurality of spraying tests on each abnormal sub-region after the separation processing based on a preset spraying mode to acquire a waterproof state parameter 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 with the spraying test module and the parameter analysis module respectively and is used to determine whether the waterproof performance of the target to be tested meets a preset standard based on the waterproof state parameter corresponding to each abnormal sub-region and the separation thickness, and to adjust the initial simulation environment parameter based on the determination result.

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