Gypsum board moisture resistance detection method, system, equipment and medium

Abstract

The invention discloses a method, a system, equipment and a medium for detecting moisture resistance of a gypsum board, and relates to the technical field of machine vision identification, and the method comprises the following steps: selecting a plurality of gypsum board samples with the same specification, and controlling water drops with different volumes to be respectively dropped on the central surfaces of different gypsum board samples; continuously acquiring a plurality of first surface images of the gypsum board sample dripped with the water drops with the first preset volume at different moments; obtaining the final water absorption rate and water absorption rate of the gypsum board sample according to the first surface image; continuously acquiring a plurality of second surface images of the gypsum board sample dripped with the water drops with the second preset volume at different moments; according to the second surface image and the environmental parameters, obtaining a moisture volatilization capability index of the gypsum board sample; according to the final water absorption rate, the final water absorption rate and the final moisture volatilization capacity index, the moisture resistance index of the plasterboard sample is obtained, and the method has the advantage that the detection efficiency and precision of the moisture resistance of the plasterboard are improved at the same time.

Description

Technical Field

[0001] This application relates to the field of machine vision recognition technology, and in particular to a method, system, equipment and medium for testing the moisture resistance of gypsum board. Background Technology

[0002] As a commonly used building decoration material, the moisture resistance of gypsum board directly affects its performance and service life. Especially in damp environments such as kitchens, bathrooms, and basements, gypsum board with poor moisture resistance is prone to softening, deformation, and mold growth, seriously impacting the structural safety and aesthetics of buildings. Therefore, accurate and efficient testing of the moisture resistance of gypsum board is a crucial step in its production and application.

[0003] Currently, most existing methods for testing the moisture resistance of gypsum board use the immersion method, which involves completely immersing the gypsum board sample in water for a certain period of time and then calculating its water absorption rate by weighing to evaluate its moisture resistance. This method has significant drawbacks: First, the testing cycle is long, from sample drying and immersion to weighing, the entire process is time-consuming and cannot meet the needs of rapid quality inspection on the production line; second, the test index is singular, reflecting moisture resistance only through water absorption rate, and cannot comprehensively reflect key moisture resistance indicators such as the instantaneous water absorption characteristics and water evaporation capacity of gypsum board when in contact with a small amount of water; third, the test accuracy is low, manual measurement of the mass change before and after immersion is prone to errors, and it cannot capture the dynamic changes of water droplets on the surface of the gypsum board. While machine vision technology is increasingly widely used in the field of material performance testing, there is currently no solution that combines machine vision recognition technology with multi-index testing of gypsum board moisture resistance, making it impossible to achieve rapid, accurate, and multi-dimensional testing of gypsum board moisture resistance. Therefore, there is an urgent need for a method for testing the moisture resistance of gypsum board that can solve the above problems. Summary of the Invention

[0004] The main purpose of this application is to provide a method, system, equipment and medium for testing the moisture resistance of gypsum board, which aims to solve the technical problem that the existing methods for testing the moisture resistance of gypsum board have relatively low testing efficiency and accuracy.

[0005] To achieve the above objectives, this application provides a method for testing the moisture resistance of gypsum board, comprising the following steps: Select multiple gypsum board samples of the same specifications and drip water droplets of a first preset volume and a second preset volume onto the center surface of the different gypsum board samples respectively; wherein, the water droplets of the first preset volume cannot be completely immersed in the gypsum board sample, while the water droplets of the second preset volume can be completely immersed in the gypsum board sample, and the first preset volume is greater than the second preset volume. Multiple images of the first surface of a gypsum board sample with a water droplet of a first preset volume continuously acquired from a first moment to a second moment; wherein, the first moment is the moment when the water droplet just falls into the center surface of the gypsum board sample, and the second moment is the moment when the volume of the residual water droplet after part of the water droplet has been immersed in the gypsum board sample does not change significantly. Based on the first surface image, the final water absorption rate of the gypsum board sample is obtained; Based on the first surface image, the water absorption rate of the gypsum board sample is obtained; Multiple images of the second surface of a gypsum board sample with a second preset volume of water droplets continuously acquired from the third time to the fourth time; wherein, the third time is the moment when the water droplets are dropped into the gypsum board sample and completely diffused, and the fourth time is the moment when the water in the gypsum board sample completely evaporates. Based on the second surface image and environmental parameters, the moisture evaporation capacity index of the gypsum board sample was obtained; The moisture resistance index of the gypsum board sample was obtained based on the final water absorption rate, water absorption rate, and moisture evaporation capacity index.

[0006] Optionally, based on the first surface image, the final water absorption rate of the gypsum board sample is obtained, including: Based on the first surface image at the second moment, the residual water droplet volume V2 on the gypsum board sample is obtained; The final water absorption rate W of the gypsum board sample is obtained based on the residual water droplet volume V2; where W = (V1 - V2) / V1, and V1 is the first preset volume.

[0007] Optionally, based on the first surface image at the second time point, the residual water droplet volume V2 on the gypsum board sample is obtained, including: The water droplet contour radius r, the average water droplet thickness h, and the contact angle θ between the water droplet and the gypsum board sample surface are obtained from the first surface image at the second moment. The water droplet contour radius r, average water droplet thickness h, and contact angle θ are input into a preset water droplet volume calculation model to obtain the residual water droplet volume V2; the expression for the water droplet volume calculation model is: V2=πr 2 h(1+0.01θ)

[0008] Optionally, based on the first surface image, the water absorption rate of the gypsum board sample is obtained, including: Select the first surface image corresponding to each preset time interval t1 from the first moment from the multiple first surface images; Based on the water droplet volume calculation model, the residual water droplet volume V2 corresponding to the selected first surface image is obtained respectively, so as to obtain the sub-water absorption rate Q' corresponding to each preset time interval t; where Q'=(V1-V2) / t1; The average value of multiple sub-absorption rates Q' is output as the water absorption rate Q of the gypsum board sample.

[0009] Optionally, based on the second surface image and environmental parameters, the moisture evaporation capacity index of the gypsum board sample is obtained, including: Select the second surface image corresponding to each preset time interval t2 from the third time point from multiple second surface images; The change in the area of ​​water stain shadows on the surface of the gypsum board sample is obtained in the two adjacent second surface images at selected time intervals, ΔS. The ambient temperature T and ambient wind speed v are obtained at each preset time interval t2. Input the change in water stain shadow area ΔS, ambient temperature T, and ambient wind speed v at different times into the preset volatile capacity calculation model to obtain multiple sub-water volatile capacity indices R'; The average value of multiple sub-moisture evaporation capacity indices R' is output as the moisture evaporation capacity index R of the gypsum board sample.

[0010] Optionally, the expression for the volatile capacity calculation model is: R'=K·(T·v / d)·(ΔS / t2); In the formula, K is the correction coefficient and d is the thickness of the gypsum board sample.

[0011] Optionally, the moisture resistance index of the gypsum board sample is obtained based on the final water absorption rate, water absorption rate, and moisture evaporation capacity index, including: The final water absorption rate, water absorption rate and water evaporation capacity index were normalized to the range of [0, 1] to obtain the first normalized value Z1 corresponding to the final water absorption rate, the second normalized value Z2 corresponding to the water absorption rate and the third normalized value Z3 corresponding to the water evaporation capacity index. The moisture resistance index M of the gypsum board sample is obtained based on the first normalized value Z1, the second normalized value Z2, and the third normalized value Z3; where M = αZ1 + βZ2 + γZ3, α is the first weighting coefficient, β is the second weighting coefficient, γ is the third weighting coefficient, and α > β, α > γ.

[0012] To achieve the above objectives, this application also provides a gypsum board moisture resistance testing system, comprising: The drip control module is used to select multiple gypsum board samples of the same size and control the dripping of water droplets of a first preset volume and a second preset volume onto the center surface of different gypsum board samples respectively; wherein, the water droplets of the first preset volume cannot be completely immersed in the gypsum board sample, while the water droplets of the second preset volume can be completely immersed in the gypsum board sample, and the first preset volume is larger than the second preset volume. The first image acquisition module is used to continuously acquire multiple first surface images of a gypsum board sample with a first preset volume of water droplets dropped into it from a first moment to a second moment; wherein, the first moment is the moment when the water droplets just drop into the center surface of the gypsum board sample, and the second moment is the moment when the volume of the residual water droplets after some water droplets have been immersed in the gypsum board sample does not change significantly. The first parameter acquisition module is used to obtain the final water absorption rate of the gypsum board sample based on the first surface image. The second parameter acquisition module is used to obtain the water absorption rate of the gypsum board sample based on the first surface image. The second image acquisition module is used to continuously acquire multiple second surface images of a gypsum board sample with a second preset volume of water droplets dropped into it from the third time to the fourth time; wherein, the third time is the moment when the water droplets are dropped into the gypsum board sample and completely diffused, and the fourth time is the moment when the water in the gypsum board sample completely evaporates. The third parameter acquisition module is used to obtain the moisture evaporation capacity index of the gypsum board sample based on the second surface image and environmental parameters. The moisture resistance evaluation module is used to obtain the moisture resistance index of gypsum board samples based on the final water absorption rate, water absorption rate, and moisture evaporation capacity index.

[0013] To achieve the above objectives, this application also provides a computer device, which includes a memory and a processor, wherein the memory stores a computer program, and the processor executes the computer program to implement the above-described method.

[0014] To achieve the above objectives, this application also provides a computer-readable storage medium storing a computer program, on which a processor executes the computer program to implement the above-described method.

[0015] The beneficial effects that this application can achieve are as follows: This application selects multiple gypsum board samples of the same specifications and controls the dripping of water droplets of a first preset volume and a second preset volume onto the central surface of each sample. Using different volumes of water droplets to conduct gypsum board water absorption tests is intended to separately detect the water absorption and water evaporation of the gypsum board samples. The first preset volume of water droplets cannot be completely immersed in the gypsum board sample, meaning it exceeds the water absorption rate within a certain time. Therefore, by continuously acquiring first surface images of the gypsum board sample after the first preset volume of water droplets are dripped, the volume change of the water droplets on the surface of the gypsum board sample can be identified through these images. This allows for the quantification and calculation of the final water absorption rate and water absorption rate of the gypsum board sample. The final water absorption rate is the core influencing indicator, directly reflecting the maximum water absorption capacity of the gypsum board sample; higher water absorption indicates poorer moisture resistance. The water absorption rate reflects the water absorption of the gypsum board sample within a certain time when it comes into contact with water. The faster the water absorption rate, the worse the short-term moisture resistance. A second preset volume of water droplets can be completely immersed in the gypsum board sample, forming a water stain of a certain area on the sample surface. Multiple images of the second surface of the gypsum board sample with the second preset volume of water droplets can be continuously acquired from the third to the fourth moment. By analyzing the change in water stain area and combining it with environmental parameters, the water evaporation capacity index of the gypsum board sample can be quantitatively calculated. The water evaporation capacity index reflects the gypsum board's ability to evaporate water after absorption; the faster the evaporation, the better the moisture resistance. Finally, the final water absorption rate, water absorption speed, and water evaporation capacity index are combined to comprehensively calculate the moisture resistance index of the gypsum board sample. This allows for accurate assessment of the gypsum board's moisture resistance performance based on the quantified moisture resistance index. The detection process eliminates the need for gypsum board soaking time and, combined with machine vision recognition technology, reduces human intervention, improving both detection efficiency and accuracy—a win-win situation. Attached Figure Description

[0016] To more clearly illustrate the technical solutions in the specific embodiments of this application or the prior art, the drawings used in the description of the specific embodiments or the prior art will be briefly introduced below. In all the drawings, similar elements or parts are generally identified by similar reference numerals. In the drawings, the elements or parts are not necessarily drawn to scale.

[0017] Figure 1 This is a flowchart illustrating a method for testing the moisture resistance of gypsum board according to an embodiment of this application; Figure 2 This is a schematic diagram of the framework of a gypsum board moisture resistance testing system according to an embodiment of this application; Figure 3 This is a schematic diagram of the computer device structure of the hardware operating environment involved in the embodiments of this application.

[0018] The realization of the purpose, functional features and advantages of this application will be further explained in conjunction with the embodiments and with reference to the accompanying drawings. Detailed Implementation

[0019] The technical solutions of the embodiments of this application will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only a part of the embodiments of this application, and not all of the embodiments. Based on the embodiments of this application, all other embodiments obtained by those of ordinary skill in the art without creative effort are within the scope of protection of this application.

[0020] It should be noted that if the embodiments of this application involve descriptions such as "first" or "second," these descriptions are for descriptive purposes only and should not be construed as indicating or implying their relative importance or implicitly specifying the number of technical features indicated. Therefore, features defined with "first" or "second" may explicitly or implicitly include at least one of those features. Furthermore, the technical solutions of the various embodiments can be combined with each other, but this must be based on the ability of those skilled in the art to implement them. When the combination of technical solutions is contradictory or impossible to implement, it should be considered that such a combination of technical solutions does not exist and is not within the scope of protection claimed in this application.

[0021] Example 1 Reference Figure 1 This embodiment provides a method for testing the moisture resistance of gypsum board, including the following steps: Select multiple gypsum board samples of the same specifications and drip water droplets of a first preset volume and a second preset volume onto the center surface of the different gypsum board samples respectively; wherein, the water droplets of the first preset volume cannot be completely immersed in the gypsum board sample, while the water droplets of the second preset volume can be completely immersed in the gypsum board sample, and the first preset volume is greater than the second preset volume. Multiple images of the first surface of a gypsum board sample with a water droplet of a first preset volume continuously acquired from a first moment to a second moment; wherein, the first moment is the moment when the water droplet just falls into the center surface of the gypsum board sample, and the second moment is the moment when the volume of the residual water droplet after part of the water droplet has been immersed in the gypsum board sample does not change significantly. Based on the first surface image, the final water absorption rate of the gypsum board sample is obtained; Based on the first surface image, the water absorption rate of the gypsum board sample is obtained; Multiple images of the second surface of a gypsum board sample with a second preset volume of water droplets continuously acquired from the third time to the fourth time; wherein, the third time is the moment when the water droplets are dropped into the gypsum board sample and completely diffused, and the fourth time is the moment when the water in the gypsum board sample completely evaporates. Based on the second surface image and environmental parameters, the moisture evaporation capacity index of the gypsum board sample was obtained; The moisture resistance index of the gypsum board sample was obtained based on the final water absorption rate, water absorption rate, and moisture evaporation capacity index.

[0022] In this embodiment, multiple gypsum board samples of the same specifications are selected, and water droplets of a first preset volume and a second preset volume are dripped onto the central surface of different gypsum board samples, respectively. Different volumes of water droplets are used to conduct the gypsum board water absorption test to detect the water absorption and water evaporation of the gypsum board samples. The first preset volume of water droplets cannot be completely immersed in the gypsum board sample, meaning that the water absorption rate is exceeded within a certain time. Therefore, by continuously acquiring first surface images of the gypsum board sample after the first preset volume of water droplets are dripped, the volume change of the water droplets on the surface of the gypsum board sample can be identified through the first surface images. This allows for the quantification and calculation of the final water absorption rate and water absorption rate of the gypsum board sample. The final water absorption rate is the core influencing indicator, directly reflecting the maximum water absorption capacity of the gypsum board sample; the more water absorbed, the worse the moisture resistance. The water absorption rate reflects the water absorption rate of the gypsum board sample within a certain time after contact with water. The faster the water absorption rate, the worse the short-term moisture resistance. A second preset volume of water droplets can be completely immersed in the gypsum board sample, forming a water stain of a certain area on the sample surface. Multiple images of the second surface of the gypsum board sample with the second preset volume of water droplets can be continuously acquired from the third to the fourth moment. By analyzing the change in water stain area and combining it with environmental parameters, the water evaporation capacity index of the gypsum board sample can be quantitatively calculated. The water evaporation capacity index reflects the gypsum board's ability to evaporate water after absorption; the faster the evaporation, the better the moisture resistance. Finally, the final water absorption rate, water absorption speed, and water evaporation capacity index are combined to comprehensively calculate the moisture resistance index of the gypsum board sample. This allows for accurate assessment of the moisture resistance performance of the gypsum board based on the quantified moisture resistance index. The detection process eliminates the need for gypsum board soaking time and, combined with machine vision recognition technology, reduces human intervention, improving both detection efficiency and accuracy—a win-win situation.

[0023] It should be noted that the water absorption test can be conducted by simultaneously dripping water droplets of a first preset volume onto multiple gypsum board samples (the water droplets can be continuously dripped until the first preset volume is reached). The final water absorption rate and water absorption speed are calculated separately, and obviously abnormal data are removed. The average of the remaining test data is used as the final corresponding test data, thus ensuring detection accuracy. Similarly, the water evaporation test is conducted by simultaneously dripping water droplets of a second preset volume onto multiple gypsum board samples. Multiple water evaporation capacity indices are calculated, abnormal data are removed, and the average of the remaining data is output as the final water evaporation capacity index. Furthermore, the water absorption test and the water evaporation test can be conducted simultaneously, and the acquired images can also be processed synchronously. After acquiring the first and second surface images, preprocessing such as image noise removal and light deviation correction can be performed, including grayscale processing, binarization processing, and edge smoothing processing (all existing technologies), to enhance the contrast between the water droplet area and the gypsum board surface, laying the foundation for subsequent morphology recognition and parameter calculation. In terms of hardware configuration, a high-definition industrial camera (resolution ≥1080P, frame rate ≥30fps) can be used to capture the dynamic changes of water droplets on the surface of gypsum board samples in real time (including the immersion process and the evaporation process of water after immersion), and the shooting range covers the entire droplet area and the surrounding 5cm range.

[0024] As an optional implementation, the final water absorption rate of the gypsum board sample is obtained based on the first surface image, including: Based on the first surface image at the second moment, the residual water droplet volume V2 on the gypsum board sample is obtained; The final water absorption rate W of the gypsum board sample is obtained based on the residual water droplet volume V2; where W = (V1 - V2) / V1, and V1 is the first preset volume.

[0025] In this embodiment, if the volume of residual water droplets on the gypsum board sample does not change significantly within a certain period of time after a certain moment (which can be determined by image recognition), it can be characterized that the gypsum board sample has reached water absorption saturation. Thus, the second moment can be determined, and the first surface image at the second moment can be selected. Based on the morphological features, the volume of residual water droplets V2 on the gypsum board sample is identified and calculated. Substituting this into the formula W=(V1-V2) / V1, where the first preset volume V1 is a known quantity, the final water absorption rate W can be quantified and accurately calculated, providing accurate and reliable data support for subsequent moisture resistance evaluation.

[0026] As an optional implementation, obtaining the residual water droplet volume V2 on the gypsum board sample based on the first surface image at the second time step includes: The water droplet contour radius r, the average water droplet thickness h, and the contact angle θ between the water droplet and the gypsum board sample surface are obtained from the first surface image at the second moment. The water droplet contour radius r, average water droplet thickness h, and contact angle θ are input into a preset water droplet volume calculation model to obtain the residual water droplet volume V2; the expression for the water droplet volume calculation model is: V2=πr 2 h(1+0.01θ)

[0027] In this embodiment, when calculating the volume of the residual water droplet, since the water droplet is not completely absorbed on the gypsum board surface, it can be approximated as a disc shape (thin disk shape) due to surface tension and the adsorption effect of the gypsum board. Its characteristics are "a circular bottom and a uniform and relatively thin overall thickness". Therefore, the core logic of "bottom area × average thickness" can be used to calculate the volume, that is, V2=πr 2 h simplifies calculations while ensuring accuracy to meet detection requirements. The droplet radius r and average droplet thickness h can be accurately calculated using image recognition algorithms. For example, an improved Faster R-CNN algorithm combined with image depth analysis is used to perform depth scanning on the preprocessed first surface image, capturing the thickness change from the droplet edge to the center. The arithmetic mean of the edge and center thickness is then taken, i.e., h = (h1 + h2) / 2, where h1 is the droplet edge thickness and h2 is the droplet center thickness. Considering that the average droplet thickness h is also related to the contact angle θ between the droplet and the gypsum board sample surface (a larger contact angle results in a thicker center and thinner edges; a smaller contact angle results in a flatter, more uniform droplet thickness), the average thickness can be calibrated using contact angle data to further improve calculation accuracy. The final calibrated formula is V2 = πr. 2 h(1+0.01θ), with a calibration coefficient of 0.01 derived from extensive sample testing to ensure an error ≤0.001ml after calibration, improves the accuracy of calculating the residual water droplet volume V2. Through extensive sample testing (covering different droplet volumes and different types of gypsum board), the water droplet volume calculated by this water droplet volume calculation model formula was compared with the results obtained by the precise weighing method (weighing the residual water droplets after drying and converting the volume using the density of clean water). The error was controlled within ±0.001ml, verifying the rationality and practicality of the formula and providing accurate and reliable data support for subsequent moisture resistance evaluation.

[0028] It should be noted that when identifying the contact angle θ based on the image, the angle between the water droplet contour edge and the sample surface can be obtained by identifying the angle using the improved Faster RCNN algorithm. The specific technical means are as follows: Based on the Faster RCNN algorithm, ResNet101 is used as the backbone network to replace the original basic backbone network to improve the feature extraction accuracy. At the same time, a fusion structure of CBAM (channel attention mechanism) and FPN (feature pyramid network) is added to enhance the feature capture capability of the water droplet contour edge and solve the problem of inaccurate angle identification caused by the interference of gypsum board surface texture and the blurring of water droplet edge. The specific recognition process is as follows: First, the first surface image, after grayscale conversion, binarization, and edge smoothing, is input into the algorithm. The algorithm extracts multi-scale features of the image through the backbone network, focusing on enhancing the grayscale difference features between the water droplet and the gypsum board surface. Then, the algorithm's anchor frame size is optimized for the disc-shaped water droplet. Candidate regions for the water droplet are generated through RPN (Region Proposal Network), eliminating interference areas such as dust and texture, and accurately locating the water droplet's outline range. Next, the Canny edge detection algorithm is used to assist in extracting the water droplet's outline edge. The algorithm's built-in outline fitting function is used to fit the smooth curve of the water droplet's outline. Simultaneously, the reference plane of the gypsum board surface is extracted (calibrated using a blank control group image). The angle between the water droplet's outline edge and this reference plane is calculated, which is the contact angle θ. Finally, by introducing a sample training set containing water droplet images with different droplet volumes and different gypsum board types, along with corresponding real contact angles, the algorithm is fine-tuned to correct the angle error caused by light reflection and slight deformation of the water droplet, ensuring that the contact angle recognition accuracy is ≤ ±0.5°. This can also help calibrate the average thickness of the disc-shaped water droplet, meeting the requirements for high-precision calculation.

[0029] As an optional implementation, the water absorption rate of the gypsum board sample is obtained based on the first surface image, including: Select the first surface image corresponding to each preset time interval t1 from the first moment from the multiple first surface images; Based on the water droplet volume calculation model, the residual water droplet volume V2 corresponding to the selected first surface image is obtained respectively, so as to obtain the sub-water absorption rate Q' corresponding to each preset time interval t; where Q'=(V1-V2) / t1; The average value of multiple sub-absorption rates Q' is output as the water absorption rate Q of the gypsum board sample.

[0030] In this embodiment, since the water absorption rate differs between when a water droplet is first dropped onto the gypsum board surface and after a period of immersion, the absorption rate is faster initially and slower over time. Therefore, to accurately characterize the water absorption rate of the gypsum board sample, first surface images corresponding to preset time intervals t1 from the first moment are selected. Here, the last selected first surface image is taken at the midpoint between the first and second moments, i.e., the image corresponding to the first half of the water droplet immersion process is selected as a reference benchmark, which better characterizes the short-term water absorption of the gypsum board. Then, based on the above-mentioned water droplet volume calculation model, the residual water droplet volume V2 corresponding to the selected first surface image can be calculated. Substituting this into the water absorption rate formula Q'=(V1-V2) / t1, the data of multiple sub-water absorption rates Q' can be calculated. The average value of multiple sub-water absorption rates Q' is output as the water absorption rate Q of the gypsum board sample, making the calculation more accurate and reliable.

[0031] As an optional implementation, the moisture evaporation capacity index of the gypsum board sample is obtained based on the second surface image and environmental parameters, including: Select the second surface image corresponding to each preset time interval t2 from the third time point from multiple second surface images; The change in the area of ​​water stain shadows on the surface of the gypsum board sample is obtained in the two adjacent second surface images at selected time intervals, ΔS. The ambient temperature T and ambient wind speed v are obtained at each preset time interval t2. Input the change in water stain shadow area ΔS, ambient temperature T, and ambient wind speed v at different times into the preset volatile capacity calculation model to obtain multiple sub-water volatile capacity indices R'; The average value of multiple sub-moisture evaporation capacity indices R' is output as the moisture evaporation capacity index R of the gypsum board sample.

[0032] In this embodiment, when calculating the moisture evaporation capacity index, to accurately reflect the moisture volatility of gypsum board after it becomes damp in actual use scenarios, the gypsum board sample can be placed in a real use environment or a simulated environment similar to the real use environment. Due to the influence of the gypsum board's own characteristics and environmental factors (mainly ambient temperature and ambient wind speed), the gypsum board's moisture evaporation capacity also fluctuates. Therefore, based on second surface images at different times, the change in the water stain shadow area ΔS on the surface of the gypsum board sample in two adjacent second surface images can be calculated (i.e., the difference between the water stain shadow area at the previous time and the water stain shadow area at the next time). At the same time, combined with the ambient temperature T and ambient wind speed v at the corresponding time, the evaporation capacity calculation model can be input to quantitatively calculate the data of multiple sub-moisture evaporation capacity indices R'. The average value of these data is then output as the final moisture evaporation capacity index R of the gypsum board sample. The calculation is accurate and reliable, providing accurate and reliable data support for subsequent moisture resistance evaluation.

[0033] As an optional implementation method, the expression for the volatility calculation model is: R'=K·(T·v / d)·(ΔS / t2); In the formula, K is the correction coefficient and d is the thickness of the gypsum board sample.

[0034] In this embodiment, the correction coefficient K in the above formula ranges from 0.85 to 0.95, and is determined by calibration based on the gypsum board material (such as ordinary gypsum board or waterproof gypsum board). The higher the ambient temperature T (based on temperature sensor measurement) and ambient wind speed v (based on wind speed sensor measurement), the better the gypsum board's moisture volatility. Conversely, the greater the gypsum board thickness, the worse the gypsum board's moisture volatility. Therefore, the parameter (T·v / d) can characterize the degree of influence of environmental parameters and gypsum board parameters on the gypsum board's moisture volatility, while (ΔS / t2) characterizes the rate of change of water stain shadow area at different time stages. Thus, the moisture evaporation capacity of the gypsum board can be comprehensively assessed, and the calculation is accurate and efficient.

[0035] As an optional implementation method, the moisture resistance index of the gypsum board sample is obtained based on the final water absorption rate, water absorption rate, and moisture evaporation capacity index, including: The final water absorption rate, water absorption rate and water evaporation capacity index were normalized to the range of [0, 1] to obtain the first normalized value Z1 corresponding to the final water absorption rate, the second normalized value Z2 corresponding to the water absorption rate and the third normalized value Z3 corresponding to the water evaporation capacity index. The moisture resistance index M of the gypsum board sample is obtained based on the first normalized value Z1, the second normalized value Z2, and the third normalized value Z3; where M = αZ1 + βZ2 + γZ3, α is the first weighting coefficient, β is the second weighting coefficient, γ is the third weighting coefficient, and α > β, α > γ.

[0036] In this embodiment, since the three test parameters—final water absorption rate, water absorption rate, and moisture evaporation capacity index—have different dimensions and numerical ranges, each indicator needs to be standardized first. All indicators are normalized to the [0, 1] interval to eliminate the influence of dimensions, thus facilitating the comprehensive superposition of different weight values ​​to obtain the moisture resistance index M. Since the final water absorption rate is the core parameter, its corresponding first weight coefficient α is the largest, improving the reliability of the calculation. Here, the weight coefficients can be flexibly adjusted according to the specific use of the gypsum board (e.g., for general construction or damp environments). After adjustment, the sum of the weights of the four indicators should be 1. The above standardization process uses the extreme value method. Based on gypsum board industry standards and a large amount of experimental data, the reasonable value range (standard interval) for each indicator is determined. The specific processing formula is as follows: For negative indicators (the higher the value, the worse the moisture resistance), the following standardized formula is used for the final water absorption rate and water absorption percentage: X = (Xmax - X') / (Xmax - Xmin); In the above formula, X is the normalized value of the corresponding negative index (i.e., final water absorption rate and water absorption speed) after standardization, X' is the measured value of the corresponding negative index, and Xmax and Xmin are the maximum reasonable value (i.e. the upper limit allowed by industry standards) and the minimum reasonable value (i.e. the lower limit allowed by industry standards) of the corresponding negative index. For the positive indicator (the higher the value, the better the moisture resistance), the moisture evaporation capacity index is processed using the following standardized formula: X = (X' - Xmin) / (Xmax - Xmin); In this formula, X corresponds to the normalized value of the positive index (i.e., the moisture evaporation capacity index) after standardization, X' is the measured value of the corresponding positive index, and Xmax and Xmin correspond to the maximum and minimum reasonable values ​​of the positive index.

[0037] After calculating the moisture resistance index M, different threshold ranges can be set. Based on the calculated moisture resistance index M falling within different threshold ranges, such as setting four threshold ranges, it can be evaluated as excellent moisture resistance, good moisture resistance, qualified moisture resistance, and unqualified moisture resistance. This can be directly used to grade and determine the moisture resistance performance of gypsum board, replacing the one-sided evaluation of a single indicator.

[0038] In summary, the gypsum board moisture resistance testing method of this embodiment has the following significant advantages: (1) High detection efficiency: There is no need to soak and dry the sample for a long time and weigh it. The single sample can be detected in real time by dripping and machine vision. It can realize the simultaneous detection of multiple samples and multiple water volumes, which greatly shortens the detection cycle, adapts to the rapid quality inspection needs of the production line, and avoids the loss of batch non-conforming products.

[0039] (2) High detection accuracy: It adopts machine vision recognition technology and can be combined with the improved Faster RCNN algorithm to accurately identify parameters such as water droplet outline, area, and contact angle. It can also use exclusive algorithm formulas to calculate parameters such as water absorption rate, water absorption speed and water evaporation capacity index, avoiding human operation errors. At the same time, it can control the detection environment parameters, reduce environmental interference, and the detection accuracy is not less than 95%, which meets the requirements of GB / T9775-2025 standard.

[0040] (3) High degree of automation: From sample placement, droplet experiment, image acquisition, to parameter calculation, performance judgment and result output, the whole process is completed automatically without human intervention, reducing labor costs, reducing errors caused by human operation, and realizing the standardization and normalization of the detection process.

[0041] (4) Wide applicability: It can be adapted to different types (water-resistant, moisture-resistant, ordinary) and different specifications of gypsum board testing. The drip volume can be flexibly adjusted, which can meet the batch testing needs of production quality inspection as well as the sampling inspection needs of construction site.

[0042] (5) Cost controllable: Low-cost USB high-definition cameras can be used in conjunction with machine vision algorithms to replace expensive imaging equipment. The overall system cost is low and easy to promote and apply. The detection process does not require the consumption of a large amount of water and reagents, which is energy-saving and environmentally friendly.

[0043] Example 2 Reference Figure 2 Based on the same inventive concept as the foregoing embodiments, this embodiment also provides a gypsum board moisture resistance testing system, comprising: The drip control module is used to select multiple gypsum board samples of the same size and control the dripping of water droplets of a first preset volume and a second preset volume onto the center surface of different gypsum board samples respectively; wherein, the water droplets of the first preset volume cannot be completely immersed in the gypsum board sample, while the water droplets of the second preset volume can be completely immersed in the gypsum board sample, and the first preset volume is larger than the second preset volume. The first image acquisition module is used to continuously acquire multiple first surface images of a gypsum board sample with a first preset volume of water droplets dropped into it from a first moment to a second moment; wherein, the first moment is the moment when the water droplets just drop into the center surface of the gypsum board sample, and the second moment is the moment when the volume of the residual water droplets after some water droplets have been immersed in the gypsum board sample does not change significantly. The first parameter acquisition module is used to obtain the final water absorption rate of the gypsum board sample based on the first surface image. The second parameter acquisition module is used to obtain the water absorption rate of the gypsum board sample based on the first surface image. The second image acquisition module is used to continuously acquire multiple second surface images of a gypsum board sample with a second preset volume of water droplets dropped into it from the third time to the fourth time; wherein, the third time is the moment when the water droplets are dropped into the gypsum board sample and completely diffused, and the fourth time is the moment when the water in the gypsum board sample completely evaporates. The third parameter acquisition module is used to obtain the moisture evaporation capacity index of the gypsum board sample based on the second surface image and environmental parameters. The moisture resistance evaluation module is used to obtain the moisture resistance index of gypsum board samples based on the final water absorption rate, water absorption rate, and moisture evaporation capacity index.

[0044] The explanations and examples of the modules in this embodiment can be found in the methods of the foregoing embodiments, and will not be repeated here.

[0045] Example 3 Based on the same inventive concept as the foregoing embodiments, this embodiment provides a computer device, which includes a memory and a processor. The memory stores a computer program, and the processor executes the computer program to implement the above-described method.

[0046] As an optional implementation method, refer to Figure 3 , Figure 3 This is a schematic diagram of the computer device structure of the hardware operating environment involved in this embodiment. The computer device may include: a processor 1001, such as a central processing unit (CPU), a communication bus 1002, a user interface 1003, a network interface 1004, and a memory 1005. The communication bus 1002 is used to realize communication between these components. The user interface 1003 may include a display screen and an input unit such as a keyboard. The user interface 1003 may also include standard wired interfaces and wireless interfaces. The network interface 1004 may optionally include standard wired interfaces and wireless interfaces (such as a Wi-Fi interface). The memory 1005 may be a high-speed random access memory (RAM) or a stable non-volatile memory (NVM), such as a disk storage device. The memory 1005 may also optionally be a storage device independent of the aforementioned processor 1001.

[0047] Those skilled in the art will understand that Figure 3 The structure shown does not constitute a limitation on the computer device and may include more or fewer components than shown, or combine certain components, or have different component arrangements.

[0048] like Figure 3 As shown, the memory 1005, which serves as a storage medium, may include an operating system, a data storage module, a network communication module, a user interface module, and electronic programs.

[0049] exist Figure 3 In the computer device shown, the network interface 1004 is mainly used for data communication with the network server; the user interface 1003 is mainly used for data interaction with the user; the processor 1001 and the memory 1005 in the computer device of this embodiment can be set in the computer device. The computer device calls the gypsum board moisture resistance testing system stored in the memory 1005 through the processor 1001 and executes the gypsum board moisture resistance testing method provided in the above embodiment.

[0050] Example 4 Based on the same inventive concept as the foregoing embodiments, this embodiment provides a computer-readable storage medium storing a computer program, and a processor executes the computer program to implement the above-described method.

[0051] In some embodiments, the computer-readable storage medium may be a memory such as FRAM, ROM, PROM, EPROM, EEPROM, flash memory, magnetic surface memory, optical disk, or CD-ROM; or it may be a variety of devices including one or any combination of the above-mentioned memories.

[0052] The above are merely preferred embodiments of this application and do not limit the patent scope of this application. Any equivalent structural or procedural transformations made using the content of this application's specification and drawings, or direct or indirect applications in other related technical fields, are similarly included within the patent protection scope of this application.

Claims

1. A method for testing the moisture resistance of gypsum board, characterized in that, Includes the following steps: Select multiple gypsum board samples of the same specifications and drip water droplets of a first preset volume and a second preset volume onto the center surface of the different gypsum board samples respectively; wherein, the water droplets of the first preset volume cannot be completely immersed in the gypsum board sample, while the water droplets of the second preset volume can be completely immersed in the gypsum board sample, and the first preset volume is greater than the second preset volume. Multiple images of the first surface of a gypsum board sample with a water droplet of a first preset volume continuously acquired from a first moment to a second moment; wherein, the first moment is the moment when the water droplet just falls into the center surface of the gypsum board sample, and the second moment is the moment when the volume of the residual water droplet after part of the water droplet has been immersed in the gypsum board sample does not change significantly. Based on the first surface image, the final water absorption rate of the gypsum board sample is obtained; Based on the first surface image, the water absorption rate of the gypsum board sample is obtained; Multiple images of the second surface of a gypsum board sample with a second preset volume of water droplets continuously acquired from the third time to the fourth time; wherein, the third time is the moment when the water droplets are dropped into the gypsum board sample and completely diffused, and the fourth time is the moment when the water in the gypsum board sample completely evaporates. Based on the second surface image and environmental parameters, the moisture evaporation capacity index of the gypsum board sample was obtained; The moisture resistance index of the gypsum board sample was obtained based on the final water absorption rate, water absorption rate, and moisture evaporation capacity index.

2. The method for testing the moisture resistance of gypsum board as described in claim 1, characterized in that, Based on the first surface image, the final water absorption rate of the gypsum board sample is obtained, including: Based on the first surface image at the second moment, the residual water droplet volume V2 on the gypsum board sample is obtained; The final water absorption rate W of the gypsum board sample is obtained based on the residual water droplet volume V2; where W = (V1 - V2) / V1, and V1 is the first preset volume.

3. The method for testing the moisture resistance of gypsum board as described in claim 2, characterized in that, Based on the first surface image at the second moment, the residual water droplet volume V2 on the gypsum board sample is obtained, including: The water droplet contour radius r, the average water droplet thickness h, and the contact angle θ between the water droplet and the gypsum board sample surface are obtained from the first surface image at the second time. The water droplet contour radius r, average water droplet thickness h, and contact angle θ are input into a preset water droplet volume calculation model to obtain the residual water droplet volume V2; the expression for the water droplet volume calculation model is: V2=πr 2 h(1+0.01θ)。 4. The method for testing the moisture resistance of gypsum board as described in claim 3, characterized in that, Based on the first surface image, the water absorption rate of the gypsum board sample is obtained, including: Select the first surface image corresponding to each preset time interval t1 from the first moment from the multiple first surface images; Based on the water droplet volume calculation model, the residual water droplet volume V2 corresponding to the selected first surface image is obtained respectively, so as to obtain the sub-water absorption rate Q' corresponding to each preset time interval t; where Q'=(V1-V2) / t1; The average value of multiple sub-absorption rates Q' is output as the water absorption rate Q of the gypsum board sample.

5. The method for testing the moisture resistance of gypsum board as described in claim 1, characterized in that, Based on the second surface image and environmental parameters, the moisture evaporation capacity index of the gypsum board sample was obtained, including: Select the second surface image corresponding to each preset time interval t2 from the third time point from multiple second surface images; The change in the area of ​​water stain shadows on the surface of the gypsum board sample is obtained in the two adjacent second surface images at selected time intervals, ΔS. The ambient temperature T and ambient wind speed v are obtained at each preset time interval t2. Input the change in water stain shadow area ΔS, ambient temperature T, and ambient wind speed v at different times into the preset volatile capacity calculation model to obtain multiple sub-water volatile capacity indices R'; The average value of multiple sub-moisture evaporation capacity indices R' is output as the moisture evaporation capacity index R of the gypsum board sample.

6. The method for testing the moisture resistance of gypsum board as described in claim 5, characterized in that, The expression for the volatile capacity calculation model is as follows: R'=K·(T·v / d)·(ΔS / t2); In the formula, K is the correction coefficient and d is the thickness of the gypsum board sample.

7. A method for testing the moisture resistance of gypsum board as described in any one of claims 1-6, characterized in that, The moisture resistance index of the gypsum board sample was obtained based on the final water absorption rate, water absorption rate, and moisture evaporation capacity index, including: The final water absorption rate, water absorption rate and water evaporation capacity index were normalized to the range of [0, 1] to obtain the first normalized value Z1 corresponding to the final water absorption rate, the second normalized value Z2 corresponding to the water absorption rate and the third normalized value Z3 corresponding to the water evaporation capacity index. The moisture resistance index M of the gypsum board sample is obtained based on the first normalized value Z1, the second normalized value Z2, and the third normalized value Z3; where M = αZ1 + βZ2 + γZ3, α is the first weighting coefficient, β is the second weighting coefficient, γ is the third weighting coefficient, and α > β, α > γ.

8. A moisture resistance testing system for gypsum board, characterized in that, include: The drip control module is used to select multiple gypsum board samples of the same size and control the dripping of water droplets of a first preset volume and a second preset volume onto the center surface of different gypsum board samples respectively; wherein, the water droplets of the first preset volume cannot be completely immersed in the gypsum board sample, while the water droplets of the second preset volume can be completely immersed in the gypsum board sample, and the first preset volume is larger than the second preset volume. The first image acquisition module is used to continuously acquire multiple first surface images of a gypsum board sample with a first preset volume of water droplets dropped into it from a first moment to a second moment; wherein, the first moment is the moment when the water droplets just drop into the center surface of the gypsum board sample, and the second moment is the moment when the volume of the residual water droplets after some water droplets have been immersed in the gypsum board sample does not change significantly. The first parameter acquisition module is used to obtain the final water absorption rate of the gypsum board sample based on the first surface image. The second parameter acquisition module is used to obtain the water absorption rate of the gypsum board sample based on the first surface image. The second image acquisition module is used to continuously acquire multiple second surface images of a gypsum board sample with a second preset volume of water droplets dropped into it from the third time to the fourth time; wherein, the third time is the moment when the water droplets are dropped into the gypsum board sample and completely diffused, and the fourth time is the moment when the water in the gypsum board sample completely evaporates. The third parameter acquisition module is used to obtain the moisture evaporation capacity index of the gypsum board sample based on the second surface image and environmental parameters. The moisture resistance evaluation module is used to obtain the moisture resistance index of gypsum board samples based on the final water absorption rate, water absorption rate, and moisture evaporation capacity index.

9. A computer device, characterized in that, The computer device includes a memory and a processor, wherein the memory stores a computer program and the processor executes the computer program to implement the method as described in any one of claims 1-7.

10. A computer-readable storage medium, characterized in that, The computer-readable storage medium stores a computer program, and the processor executes the computer program to implement the method as described in any one of claims 1-7.

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