A polymer cement waterproof coating performance testing system

Abstract

The present invention belongs to the technical field of building waterproof material detection, and specifically relates to a polymer cement waterproof coating performance detection system, which forms a coating layer by applying the polymer cement waterproof coating to be tested on the surface of a cement mortar substrate, seals the circumferential edge of the substrate after standard curing to define a detection area, increases the water pressure in the detection area in stages, synchronously collects surface strain data and substrate internal moisture content data, dynamically constructs a penetration path map inside the substrate during water pressure loading, calibrates the starting point of the penetration path and analyzes the penetration behavior parameters, statistically calculates the distribution ratio of the starting point of the penetration path in the center and the edge to judge the potential sealing interference risk, verifies the edge penetration abnormality in combination with the strain data when it exists, eliminates non-coating performance-related parameters, integrates and corrects the penetration behavior parameter set, outputs the evaluation result after matching according to the anti-seepage grade standard, and achieves comprehensive and accurate dynamic analysis of the penetration behavior on the basis of eliminating the influence of edge sealing interference.

Description

Technical Field

[0001] The invention belongs to the technical field of building waterproof material detection, and specifically relates to a polymer cement waterproof coating performance detection system. Background Art

[0002] Polymer cement waterproof coating is a two-component flexible waterproof material with high molecular polymer emulsion and cement as the main components. It has both flexibility and high strength and is widely used in building waterproofing projects. In the performance evaluation system of waterproof coatings, anti-seepage performance is the core indicator to measure its waterproof effect. It directly determines the material's ability to block water penetration in actual projects. Therefore, it is crucial to test the anti-seepage performance of waterproof coatings.

[0003] In the existing technology, there are also some related solutions related to the detection of the anti-seepage performance of waterproof coatings. For example, China Patent Publication No. CN119688552A is a polymer cement waterproof coating self-sealing tester and test method. It uses a lower water tank, an upper water tank and an automatic water supply device, a clamping component connected to the water outlet, and uses a probe to detect water seepage, accurately measuring the flow rate and the self-healing speed of structural cracks suitable for polymer cement waterproof coatings, thereby standardizing the anti-seepage performance of the coating.

[0004] Another Chinese patent, CN109709263A, covers the testing of waterproof material performance. Through a water-impermeability test, the paint is applied to the cloth surface a preset number of times. After it dries, a film of a certain thickness is formed into a box shape with a bottom. 1% alkaline water is then added to the box. If there is no leakage within 36 hours, the waterproofing is qualified. The test is accurate, low-cost and time-saving.

[0005] Although the above two schemes involve solutions related to the detection of the anti-seepage performance of waterproof coatings, the existing technology still has the following limitations, specifically: 1. The existing waterproof coating anti-seepage performance detection is based on the static water pressure final state water seepage and water seepage volume as the standard, which cannot capture the response law of the seepage behavior under dynamic loading, and it is difficult to analyze the dynamic evolution, diffusion pattern and complexity of the seepage path, and thus cannot fully and accurately reflect the anti-seepage performance of the material.

[0006] 2. The existing waterproof coating anti-seepage performance test requires the base material to be sealed, but lacks a mechanism to identify abnormal penetration at the edge sealing interface. If the seal fails during the test and causes water seepage at the edge, it can be easily misjudged as a coating performance defect, thereby reducing the credibility of the test results. Summary of the Invention

[0007] In order to overcome the shortcomings of the background technology, an embodiment of the present invention provides a polymer cement waterproof coating performance detection system, which can effectively solve the problems involved in the above background technology.

[0008] The purpose of the present invention can be achieved through the following technical solutions: A polymer cement waterproof coating performance detection system, including: a substrate sealing treatment module, a gradient water pressure loading module, a penetration behavior analysis module, an edge interference verification module and an anti-seepage performance evaluation module.

[0009] The substrate sealing processing module is connected to the gradient water pressure loading module, the gradient water pressure loading module is connected to the penetration behavior analysis module, the penetration behavior analysis module is connected to the edge interference verification module, and the edge interference verification module is connected to the anti-seepage performance evaluation module.

[0010] The substrate sealing treatment module applies the polymer cement waterproof coating to be tested to the surface of the cement mortar substrate according to a preset process to form a coating layer. After standard curing, the circumferential edge of the substrate is sealed to limit the detection area.

[0011] The gradient water pressure loading module applies a phased increasing water pressure to the detection area, and synchronously collects the surface strain data of the detection area and the moisture content distribution data inside the substrate during the water pressure loading process.

[0012] The permeation behavior analysis module dynamically constructs a permeation path map inside the substrate during water pressure loading based on the moisture content distribution data, calibrates the starting position of each permeation path, and analyzes the permeation behavior parameters, which include instantaneous permeability, path diffusion degree, and path complexity.

[0013] The edge interference verification module calculates the distribution ratio of the starting point of the penetration path in the center area of the substrate and the edge sealing area to determine whether there is a potential sealing interference risk due to edge penetration. If so, the module verifies the abnormality of the penetration path in the edge sealing area based on the strain data of the corresponding edge sealing interface and eliminates the penetration behavior parameters related to non-coating performance.

[0014] The anti-seepage performance evaluation module integrates the modified permeation behavior parameter set, matches the anti-seepage performance grade classification standard, and generates and outputs the coating anti-seepage performance grade evaluation results.

[0015] Compared with the prior art, the embodiments of the present invention have at least the following advantages or beneficial effects: (1) The present invention adopts a stepped water pressure loading design, which not only avoids damage to the substrate structure caused by instantaneous high pressure, but also significantly shortens the detection cycle, helps to more realistically reflect the service performance of the material, and takes into account both detection efficiency and data reliability.

[0016] (2) The present invention constructs a permeation path map inside the substrate during water pressure loading to quantify the instantaneous permeability, path diffusion degree and path complexity, thus breaking through the limitations of the existing single water seepage detection and providing a precise and targeted basis for the quantitative analysis of the paint seepage phenomenon, thereby improving the scientific nature and guiding value of the test results.

[0017] (3) The present invention judges the potential sealing interference risk through edge penetration. Based on the strain response difference between the edge sealing interface and the central area of the substrate, it intelligently identifies abnormal edge penetration that is not related to the coating performance, eliminates interference data, avoids misjudgment caused by sealing failure, and ensures that the anti-permeability index only reflects the performance of the coating itself, thereby significantly improving the credibility of the test results.

[0018] (4) The present invention integrates the modified permeability behavior parameter set, maps the anti-permeability performance grade classification standard to generate the coating anti-permeability performance grade evaluation result, and comprehensively conducts multi-dimensional quantitative evaluation to support the classification and selection of coating anti-permeability performance, thereby meeting the differentiated needs of different engineering scenarios, thereby improving the decision-making reference value of the test report. BRIEF DESCRIPTION OF THE DRAWINGS

[0019] The present invention is further described with reference to the accompanying drawings. However, the embodiments in the accompanying drawings do not constitute any limitation to the present invention. A person skilled in the art can obtain other drawings based on the following drawings without creative effort.

[0020] Figure 1 Schematic diagram of module connection of the present invention.

[0021] Figure 2 Schematic diagram of the logic of the data collection process of the moisture content distribution inside the substrate of the present invention.

[0022] Figure 3 This is a schematic diagram of the detection area structure after the substrate is sealed.

[0023] Reference numerals: 1. Central area of substrate; 2. Edge sealing area. DETAILED DESCRIPTION

[0024] The following will clearly and completely describe the technical solutions in the embodiments of the present invention in conjunction with the accompanying drawings. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without making creative efforts are within the scope of protection of the present invention.

[0025] Reference Figure 1 As shown, the present invention provides a polymer cement waterproof coating performance detection system, including: a substrate sealing processing module, a gradient water pressure loading module, a penetration behavior analysis module, an edge interference verification module and an anti-seepage performance evaluation module.

[0026] The substrate sealing processing module is connected to the gradient water pressure loading module, the gradient water pressure loading module is connected to the penetration behavior analysis module, the penetration behavior analysis module is connected to the edge interference verification module, and the edge interference verification module is connected to the anti-seepage performance evaluation module.

[0027] The substrate sealing treatment module applies the polymer cement waterproof coating to be tested to the surface of the cement mortar substrate according to a preset process to form a coating layer. After standard curing, the circumferential edge of the substrate is sealed to limit the detection area.

[0028] The gradient water pressure loading module applies a phased increasing water pressure to the detection area, and synchronously collects surface strain data of the detection area and moisture content distribution data inside the substrate during the water pressure loading process.

[0029] In a preferred embodiment of the present invention, the stepwise increasing water pressure loading method is as follows: the loading duration and increase of the water pressure in each stage are fixed, and the upper limit of the loading pressure is lower than the preset damage pressure threshold of the substrate structure.

[0030] It should be noted that the data source of the preset damage pressure threshold of the above-mentioned substrate structure can be set according to industry experience, or through a pre-experimental calibration method. For example, before gradient water pressure loading, a step water pressure preloading test is performed on the substrate sample, and the pressure value corresponding to the initiation of cracks on the substrate surface is monitored, which is calibrated as the damage pressure threshold of the substrate structure.

[0031] The embodiment of the present invention adopts a stepped water pressure loading design, which not only avoids damage to the substrate structure caused by instantaneous high pressure, but also significantly shortens the detection cycle, helps to more realistically reflect the service performance of the material, and takes into account both detection efficiency and data reliability.

[0032] Reference Figure 2 As shown, in a preferred embodiment of the present invention, the process of collecting data on the moisture content distribution inside the substrate includes: dividing the interior of the cement mortar substrate into a three-dimensional uniform voxel grid, and pre-calibrating the imager detection wavelength corresponding to each grid depth layer inside the substrate, controlling the imager to operate in a multi-detection wavelength synchronous acquisition mode, wherein each detection wavelength acquires a reflection spectrum image of the detection area at an acquisition rate of a preset number of frames per unit time, and generating a multi-detection wavelength reflection spectrum image set in real time.

[0033] It should be noted that the pre-calibration process of the imager detection wavelength corresponding to each grid depth layer inside the above-mentioned substrate is: prepare a cement mortar standard substrate sample with a known moisture content gradient, clarify the moisture content of each depth layer in the standard substrate sample, and determine the moisture content monitoring value of each depth layer corresponding to different near-infrared wavelengths in the substrate by layer-by-layer grinding or synchronous X-ray CT. For each target depth layer, calculate the deviation between the moisture content monitoring value of each wavelength and the true value, and select the wavelength with the smallest deviation as the preferred detection wavelength for the depth layer, so as to determine the imager detection wavelength corresponding to each grid depth layer inside the substrate.

[0034] The reflectance spectrum image set at the same time point and detection wavelength is optimized to generate a reference image representing the absorbance of two-dimensional pixels at each grid depth layer. The absorbance is then converted into moisture content to obtain the two-dimensional moisture content distribution field at each grid depth layer.

[0035] It should be noted that the above-mentioned optimization processing flow for the reflectance spectrum image set is specifically as follows: based on the principle of scale-invariant feature transformation, the feature descriptors of each key point of the reflectance spectrum image are identified, the feature descriptors of the same key points in each reflectance spectrum image are matched, and the corresponding spatial transformations such as rotation, translation, and scaling are performed to carry out geometric correction, and the reflectance spectrum image set after spatial registration is output.

[0036] The spatially registered reflectance spectrum image set is subjected to time-domain arithmetic averaging to suppress random noise interference, thereby obtaining a reflectance spectrum superposition image.

[0037] The reflection intensity data of the standard reflector is synchronously collected as a reference benchmark, and the reflection intensity of each pixel point in the reflection spectrum superposition image is normalized. The normalized processing result is further multiplied by the calibrated reflectivity of the standard reflector to obtain the reflectivity of each pixel point in the reflection spectrum superposition image.

[0038] The preset absorption conversion formula is used to calculate the absorbance mapped by the reflectance of each pixel in the reflectance spectrum superposition image to achieve optimization processing.

[0039] The preset absorption conversion formula is based on the Kubelka-Munk equation, and its core logic is to map the reflectivity to the absorbance parameter by analyzing the absorption and scattering effects of light in the medium. The specific calculation logic is exemplified as follows: take the square of the difference between the reflectivity and 1, and use the square of the difference as a quantitative indicator of the absorption effect.

[0040] The product of reflectivity and 2 is used as a quantitative indicator of the scattering effect.

[0041] The absorbance is obtained by taking the square of the difference representing the absorption effect as the numerator and the double reflectance representing the scattering effect as the denominator and calculating the ratio of the two.

[0042] The above-mentioned conversion of absorbance to moisture content is specifically based on a preset standard mapping table of absorbance-moisture content stored in a cloud database. This table is mainly set based on experimental experience. After the imager detection wavelength corresponding to each grid depth layer within the substrate is pre-calibrated, a series of cement substrate samples with a known moisture content gradient are prepared. The corresponding detection wavelength is selected for simulation experiments, and the absorbance data of each cement substrate sample at the calibrated detection wavelength is obtained. The linear equation is fitted by the least squares method to determine the mapping relationship between absorbance and moisture content, thereby constructing a preset standard mapping table of absorbance-moisture content.

[0043] The two-dimensional moisture content distribution field of each grid depth layer is integrated by spatial interpolation to obtain the real-time moisture content of each voxel grid inside the substrate during the water pressure loading process, and this is used as the moisture content distribution data inside the substrate.

[0044] It should also be added that the surface strain data of the above-mentioned detection area is mainly collected in real time by embedded optical fiber sensors distributed at various positions on the coating surface, which is used to monitor the deformation amount caused by water pressure on various positions on the surface of the detection area.

[0045] The permeation behavior analysis module dynamically constructs a permeation path map inside the substrate during water pressure loading based on the moisture content distribution data, calibrates the starting position of each permeation path and analyzes the permeation behavior parameters, which include instantaneous permeability, path diffusion degree and path complexity.

[0046] In a preferred embodiment of the present invention, the dynamic construction process of the permeation path map inside the substrate during the water pressure loading process includes: if the moisture content of the voxel grid inside the substrate is greater than or equal to the preset moisture content threshold, the voxel grid is marked as a permeation grid, and its three-dimensional coordinates and timestamp are recorded.

[0047] It should be noted that the basis for setting the above-mentioned preset moisture content threshold includes at least one of the following: i. Reference material property benchmark, based on the porosity, water absorption and hydrophobicity indicators of polymer cement waterproof coating, and laboratory calibration of the critical penetration moisture content.

[0048] ii. Refer to industry specifications and convert the anti-seepage pressure test standard recorded in the industry's cement-based penetrating crystalline waterproofing material guide into an equivalent moisture content threshold.

[0049] For the newly added permeable grid, the permeable grids with adjacent spaces are selected from the permeable grid set at the previous moment.

[0050] A spatial connection network is generated based on the adjacent infiltration grids, and edges that meet the path continuity and infiltration consistency conditions are selected from the associated edges between the current newly added infiltration grid and the spatial connection network as valid connection edges. Topological fusion is performed with the existing infiltration path segments, and a dynamic infiltration path map is constructed according to the spatiotemporal correlation relationship, in which the path extension direction and the infiltration trend are updated synchronously.

[0051] It should be noted that the above-mentioned spatial connection network specifically refers to a triangular network, which is mainly obtained by performing a Delaunay triangulation operation on the adjacent permeable grids.

[0052] The above-mentioned path continuity and permeability consistency conditions include: the angle between the extension direction of the effective connecting edge and the main path direction of the existing permeability path segment is less than the preset critical permeability diffusion angle of the material, and the moisture content gradient difference of the grids at both ends of the effective connecting edge is less than the preset permeability gradient difference. If there are multiple qualified edges, the edge with the smallest moisture content gradient change is preferentially selected as the effective connecting edge.

[0053] It should also be noted that when performing topological fusion with existing infiltration path segments, redundancy elimination operations need to be performed, including eliminating isolated path segments whose length is less than the edge length of a preset number of voxel grids, and merging spatially overlapping or adjacent scattered path segments.

[0054] In a preferred embodiment of the present invention, the instantaneous permeability analysis process includes: identifying the extension area boundary of the permeation path at adjacent time points based on the permeation path map of the continuous time series.

[0055] The advancement rate at each unit time point on the infiltration path is determined by the ratio of the spatial displacement of the extended boundary to the corresponding time interval.

[0056] The advancement rate is related to the hydraulic stage to generate a pressure-normalized infiltration rate.

[0057] The mean value of the full-cycle pressure-normalized permeability parameter in the continuous time series corresponding to the permeation path is calculated to obtain the instantaneous permeability of the permeation path.

[0058] In a preferred embodiment of the present invention, the path diffusion degree analysis process includes: determining the spatial distribution range of the penetration path inside the substrate at the time point when the water pressure loading is terminated and identifying its distribution form, which includes radial, dendritic or layered distribution forms.

[0059] Calculate the ratio of the volume of the area covered by the penetration path to the total volume of the substrate detection area.

[0060] Based on the preset diffusion weight factors corresponding to the distribution forms of the infiltration paths stored in the cloud database, the preset diffusion weight factors corresponding to the distribution forms of the infiltration paths at the termination time of the water pressure loading are obtained, and the product of the preset diffusion weight factors and the volume ratio is used as the path diffusion degree of the infiltration path.

[0061] It should be noted that the reason for considering the distribution morphology of the penetration path in the analysis of path diffusion is that different penetration path morphologies have significant effects on the structural properties of the substrate. This not only reveals the mechanical mechanism of penetration but also indirectly indicates the destructive potential. Specifically, a radial pattern appears as a single central point extending outward, a dendritic pattern exhibits multiple and irregular branches, and a laminar pattern extends parallel to a specific direction.

[0062] Dendritic pathways, due to their complex branching, actually penetrate a larger area for the same volume, potentially causing far greater damage to the substrate than laminar or radial pathways. While radial pathways diffuse more concentratedly, their direction is controllable, resulting in lower risk. Laminar pathways typically extend along predetermined interfaces, resulting in controlled localized damage and the lowest diffusion risk. Therefore, the default diffusion weighting factors are typically arranged in the order of dendritic > radial > laminar.

[0063] In a preferred embodiment of the present invention, the path complexity analysis process includes: counting the topological connection characteristics of the infiltration path at the termination time point of the water pressure loading, including the number of path branches, the number of interweaving nodes and the boundary fractal dimension, performing a ratio operation on the topological connection characteristics and the number of path branches, the number of interweaving nodes and the path boundary fractal dimension calibrated in the infiltration path reference topological connection characteristics stored in the cloud database, and accumulating the ratio operation results to obtain the path complexity of the infiltration path.

[0064] It should be noted that the above-mentioned boundary fractal dimension is an indicator used to quantify the geometric complexity of the infiltration path boundary, reflecting the irregularity and self-similarity of the path boundary. It is based on fractal theory and is obtained by calculating the changes in the geometric characteristics of the boundary curve at different observation scales. The specific acquisition process is: based on the three-dimensional uniform voxel grid divided inside the cement mortar matrix, the side length of the three-dimensional uniform voxel grid is changed in sequence according to the unit side length. When traversing grids of different scales, the number of grids that completely contain the boundary contour of the infiltration path is counted, and the boundary fractal dimension is obtained by logarithmic linear fitting.

[0065] The embodiments of the present invention construct a permeation path map inside the substrate during water pressure loading to quantify the instantaneous permeability, path diffusion degree and path complexity, breaking through the limitations of existing single water seepage detection and providing a targeted basis for accurate quantification of paint seepage phenomena, thereby improving the scientific nature and guiding value of the detection results.

[0066] Reference Figure 3As shown, the edge interference verification module counts the distribution ratios of the starting points of the penetration path in the central area of the substrate and the edge sealing area to determine whether there is a potential sealing interference risk due to edge penetration. If so, the abnormality of the penetration path in the edge sealing area is verified in combination with the strain data of the corresponding edge sealing interface, and the penetration behavior parameters related to non-coating performance are eliminated.

[0067] In a preferred embodiment of the present invention, the conditions for determining whether edge penetration presents a potential risk of sealing interference include any of the following situations: (a) the distribution ratio of the starting point of the penetration path in the edge sealing area is greater than or equal to a preset multiple of the distribution ratio in the central area of the substrate.

[0068] (b) The starting points of the penetration paths are all distributed within the edge sealing area.

[0069] In a preferred embodiment of the present invention, the abnormality verification process of the edge sealing area penetration path includes: based on the surface strain data of the detection area during the water pressure loading process, respectively extracting the time series strain data of each position point of the edge sealing interface and each position point of the central surface of the substrate, using the standard deviation of the time series strain data as the strain fluctuation intensity, comparing the strain fluctuation intensity difference between each position point of the edge sealing interface and each position point of the central surface of the substrate during the water pressure loading process, and obtaining the relative difference ratio of the strain fluctuation intensity between the edge sealing interface and the central surface of the substrate through double mean calculation. If the calculated ratio is greater than the preset ratio, the first-order abnormality flag is triggered.

[0070] The time-series strain data of each position point on the edge sealing interface is converted into a frequency domain characteristic signal. Taking the water pressure loading signal as a reference, the phase delay and phase offset angle of the strain signal at each position point on the edge sealing interface relative to the water pressure loading signal are analyzed. The average phase delay and average phase offset angle of the strain signal on the edge sealing interface relative to the water pressure loading signal are obtained. If the average phase delay is greater than the preset allowable phase delay threshold or the average phase offset angle is greater than the preset allowable phase offset angle threshold, a second-order abnormality flag is triggered.

[0071] When the first-order and second-order abnormality flags are triggered at the same time, it is verified that there is abnormality in the penetration path of the edge sealing area, otherwise it is judged as normal penetration behavior.

[0072] It should be added that the above-mentioned dual verification mechanism of first-order and second-order abnormal signs is used to determine whether there is abnormality in the penetration path of the edge sealing area. Its core is to comprehensively evaluate the mechanical response characteristics of the edge sealing interface from the two dimensions of time domain and frequency domain. The specific basis is: the first-order sign reveals the potential damage of the edge sealing interface from the difference in macroscopic time-domain strain fluctuations. Under normal circumstances, the edge sealing interface is dense or the bonding is complete, and the strain fluctuations are weakly transmitted by the direct water pressure loading. The fluctuation intensity should be lower than the center surface of the substrate or have no significant difference from the center surface of the substrate. If the fluctuation intensity is significantly higher than the center surface of the substrate, it indicates that there is a hidden defect of insufficient sealing in the edge sealing interface.

[0073] The second-order signature captures the detuning phenomenon of the interface dynamic response from the microscopic phase characteristics. Under normal circumstances, the edge seal interface strain signal should strictly follow the periodic changes of the water pressure loading signal, with a short phase delay and a small offset angle to reflect the integrity of the interface structure. If the interface phase delay or phase offset angle increases abnormally, it indicates that the interface dynamic response has deviated from the ideal state.

[0074] The embodiment of the present invention judges the potential sealing interference risk of edge penetration. Based on the strain response difference between the edge sealing interface and the central area of the substrate, it intelligently identifies abnormal edge penetration that is not related to the coating performance, eliminates interfering data, avoids misjudgment caused by sealing failure, and ensures that the anti-permeability index only reflects the performance of the coating itself, thereby significantly improving the credibility of the test results.

[0075] The anti-seepage performance evaluation module integrates the corrected permeation behavior parameter set, matches the anti-seepage performance grade classification standard, and generates and outputs the coating anti-seepage performance grade evaluation result.

[0076] In a preferred embodiment of the present invention, the process of generating the coating anti-permeability performance grade evaluation result includes: matching the anti-permeability performance grades involved in the corrected penetration behavior parameter set according to the coating anti-permeability performance grade classification standards stored in the cloud database, and screening the lowest anti-permeability performance grade as the coating anti-permeability performance grade evaluation result.

[0077] It should be noted that the above-mentioned classification standards for the anti-seepage performance levels of the coatings correspond to the numerical ranges of instantaneous permeability, path diffusion degree, and path complexity.

[0078] The matching process of the anti-seepage performance level involved in the revised infiltration behavior parameter set is as follows: extract the infiltration behavior parameters of a certain infiltration path, determine the anti-seepage performance level corresponding to the numerical intervals of the instantaneous permeability, path diffusion degree, and path complexity of the infiltration path, and select the lowest anti-seepage performance level among the three as the infiltration behavior parameter matching result of the infiltration path.

[0079] The embodiment of the present invention integrates the corrected permeability behavior parameter set, maps the anti-permeability performance grade classification standard to generate the coating anti-permeability performance grade evaluation result, and comprehensively conducts multi-dimensional quantitative evaluation to support the grading and selection of coating anti-permeability performance, meet the differentiated needs of different engineering scenarios, and thus enhance the decision-making reference value of the test report.

[0080] It should be noted that the system of the present invention uses a cloud database during the execution process, which is used to store the classification standards of various anti-seepage performance levels of coatings, store the number of path branches, the number of interwoven nodes and the fractal dimension of the path boundary calibrated in the topological connection characteristics of the penetration path, store the preset diffusion weight factors corresponding to each distribution form of the penetration path, and store the preset standard mapping table of absorbance-moisture content. All storage parameters are implanted into the cloud database before the system is developed and can be directly extracted and used.

[0081] The above content is merely an example and explanation of the structure of the present invention. Those skilled in the art may make various modifications or additions to the described specific embodiments or replace them in a similar manner. As long as they do not deviate from the structure of the invention or exceed the scope defined by the present invention, they should all fall within the scope of protection of the present invention.

Claims

1. A polymer cement waterproof coating performance detection system, characterized in that: include: The substrate sealing treatment module applies the polymer cement waterproof coating to be tested to the surface of the cement mortar substrate according to a preset process to form a coating layer. After standard curing, the circumferential edge of the substrate is sealed to limit the test area; A gradient water pressure loading module applies a phased increasing water pressure to the detection area and synchronously collects surface strain data of the detection area and moisture content distribution data inside the substrate during the water pressure loading process; A permeation behavior analysis module dynamically constructs a permeation path map within the substrate during hydraulic loading based on the moisture content distribution data, calibrates the starting point of each permeation path, and analyzes permeation behavior parameters, including instantaneous permeability, path diffusion degree, and path complexity; The edge interference verification module calculates the distribution ratio of the starting point of the penetration path in the center area of the substrate and the edge sealing area to determine whether there is a potential seal interference risk due to edge penetration. If so, the module verifies the abnormality of the penetration path in the edge sealing area based on the strain data of the corresponding edge sealing interface and eliminates the penetration behavior parameters related to non-coating performance. The anti-permeability performance evaluation module integrates the modified permeability behavior parameter set, matches the anti-permeability performance grade classification standard, and generates and outputs the coating anti-permeability performance grade evaluation results; The abnormality verification process of the edge sealing area penetration path includes: extracting time-series strain data of each position point on the edge sealing interface and each position point on the central surface of the substrate based on the surface strain data of the detection area during the water pressure loading process, taking the standard deviation of the time-series strain data as the strain fluctuation intensity, comparing the strain fluctuation intensity difference between each position point on the edge sealing interface and each position point on the central surface of the substrate during the water pressure loading process, and obtaining the relative difference ratio of the strain fluctuation intensity between the edge sealing interface and the central surface of the substrate through double mean calculation. If the ratio is greater than a preset ratio, a first-order abnormality flag is triggered; The time-series strain data of each position point on the edge sealing interface is converted into a frequency domain characteristic signal. With the water pressure loading signal as a reference, the phase delay and phase offset angle of the strain signal at each position point on the edge sealing interface relative to the water pressure loading signal are analyzed to obtain the average phase delay and average phase offset angle of the strain signal on the edge sealing interface relative to the water pressure loading signal. If the average phase delay is greater than a preset allowable phase delay threshold or the average phase offset angle is greater than a preset allowable phase offset angle threshold, a second-order abnormality flag is triggered. When the first-order and second-order abnormality flags are triggered at the same time, it is verified that there is abnormality in the penetration path of the edge sealing area, otherwise it is judged as normal penetration behavior.

2. A polymer cement waterproof coating performance detection system according to claim 1, characterized in that: The loading method of increasing the water pressure in stages is as follows: the loading duration and increase of the water pressure in each stage are fixed, and the upper limit of the loading pressure is lower than the preset damage pressure threshold of the substrate structure.

3. A polymer cement waterproof coating performance detection system according to claim 1, characterized in that: The process of collecting data on the moisture content distribution inside the substrate includes: The interior of the cement mortar substrate is divided into a three-dimensional uniform voxel grid, and the imager detection wavelength corresponding to each grid depth layer within the substrate is pre-calibrated. The imager is controlled to operate in a multi-detection wavelength synchronous acquisition mode, where each detection wavelength acquires a reflectance spectrum image of the detection area at an acquisition rate of a preset number of frames per unit time, and a multi-detection wavelength reflectance spectrum image set is generated in real time; The reflectance spectrum image set at the same time point and detection wavelength is optimized to generate a reference image representing the absorbance of the two-dimensional pixels at each grid depth layer. The absorbance is then converted into moisture content to obtain the two-dimensional moisture content distribution field at each grid depth layer. The two-dimensional moisture content distribution field of each grid depth layer is integrated by spatial interpolation to obtain the real-time moisture content of each voxel grid inside the substrate during the water pressure loading process, and this is used as the moisture content distribution data inside the substrate.

4. A polymer cement waterproof coating performance detection system according to claim 3, characterized in that: The dynamic construction process of the permeation path map inside the substrate during the water pressure loading process includes: if the water content of the voxel grid inside the substrate is greater than or equal to a preset water content threshold, marking the voxel grid as a permeation grid and recording its three-dimensional coordinates and timestamp; For the newly added permeable grid, the permeable grids with adjacent spaces are selected from the permeable grid set at the previous moment. A spatial connection network is generated based on the adjacent infiltration grids, and edges that meet the path continuity and infiltration consistency conditions are selected from the associated edges between the current newly added infiltration grid and the spatial connection network as valid connection edges. Topological fusion is performed with the existing infiltration path segments, and a dynamic infiltration path map is constructed according to the spatiotemporal correlation relationship, in which the path extension direction and the infiltration trend are updated synchronously.

5. The polymer cement waterproof coating performance detection system according to claim 1, characterized in that: The instantaneous permeability analysis process includes: identifying the extension area boundary of the permeation path at adjacent time points based on the permeation path map of the continuous time series; The advancement rate of each unit time point on the infiltration path is determined by the ratio of the spatial displacement of the extended boundary to the corresponding time interval; Correlating the propulsion rate with the water pressure stage to generate a pressure-normalized infiltration rate; The mean value of the full-cycle pressure-normalized permeability parameter in the continuous time series corresponding to the permeation path is calculated to obtain the instantaneous permeability of the permeation path.

6. A polymer cement waterproof coating performance detection system according to claim 1, characterized in that: The path diffusion degree analysis process includes: determining the spatial distribution range of the penetration path inside the substrate at the time point when the water pressure loading ends and identifying its distribution form, wherein the distribution form includes radial, dendritic or layered; Calculate the ratio of the volume of the area covered by the penetration path to the total volume of the substrate detection area; Based on the preset diffusion weight factors corresponding to the distribution forms of the infiltration paths stored in the cloud database, the preset diffusion weight factors corresponding to the distribution forms of the infiltration paths at the termination time of the water pressure loading are obtained, and the product of the preset diffusion weight factors and the volume ratio is used as the path diffusion degree of the infiltration path.

7. The polymer cement waterproof coating performance detection system according to claim 1, characterized in that: The path complexity analysis process includes: counting the topological connection characteristics of the infiltration path at the termination time point of the hydraulic loading, including the number of path branches, the number of interweaving nodes and the boundary fractal dimension, performing a ratio operation on the topological connection characteristics with the number of path branches, the number of interweaving nodes and the path boundary fractal dimension calibrated in the infiltration path reference topological connection characteristics stored in the cloud database, and accumulating the ratio operation results to obtain the path complexity of the infiltration path.

8. The polymer cement waterproof coating performance detection system according to claim 1, characterized in that: The conditions for determining that edge penetration has a potential seal interference risk include any of the following situations: (a) the distribution ratio of the starting point of the penetration path in the edge sealing area is greater than or equal to a preset multiple of the distribution ratio in the central area of the substrate; (b) The starting points of the penetration paths are all distributed within the edge sealing area.

9. The polymer cement waterproof coating performance detection system according to claim 1, characterized in that: The process of generating the coating anti-permeability performance grade evaluation result includes: matching the anti-permeability performance grades involved in the corrected penetration behavior parameter set according to the coating anti-permeability performance grade classification standards stored in the cloud database, and selecting the lowest anti-permeability performance grade as the coating anti-permeability performance grade evaluation result.

Images