Analysis method and device for sealing effect of grouting materials

Abstract

The present invention relates to the field of geotechnical engineering technology, and in particular to a method and device for analyzing the plugging effect of grouting materials, wherein the method comprises: collecting images of the entire grouting process of cement-based materials in micron-scale cracks or pipes; eliminating errors and binarizing the images; extracting edge features from the processed images to segment multiple particles that are adhered but not agglomerated, and determining the particles; determining particles whose areas are larger than a preset agglomerated particle threshold, determining the agglomerated particles and marking them to generate image quantification indicators of the plugging process; generating analysis results of the plugging effect of the grouting material based on the evolution curve corresponding to the image quantification indicator of the plugging process. Thus, the problem that the related technologies are mostly based on macroscopic model tests or analysis of final slurry consolidation bodies, which makes it difficult to record the microscopic change process of particles in real time, and cannot fully reveal the spatial distribution and change laws of particles, leading to problems such as affecting the prediction of the plugging effect of grouting materials and construction reliability.

Description

Technical Field

[0001] The present invention relates to the technical field of geotechnical engineering, and in particular to a method and device for analyzing the sealing effect of a grouting material. Background Art

[0002] As underground engineering construction continues to expand, deep projects such as tunnels and mines face increasingly complex geological environments. Groundwater leakage is seriously impacting the stability of engineering structures and construction safety. Grouting technology, a common method for leakage control and reinforcement, is widely used in engineering practice. The sealing performance of grouting materials is typically evaluated through penetration tests, splitting tests, and in-situ grouting tests, aiming to verify their ability to form dense slurry consolidation within complex fracture structures.

[0003] However, most of the related technologies are based on macroscopic model tests or analysis of the final slurry consolidation body, and evaluate the macroscopic mechanical properties, permeability and other parameters of the material after injection. It is difficult to achieve dynamic observation and recording of the microscopic behaviors of grouting materials such as particle migration and deposition during the seepage process, and it is impossible to fully reveal the spatial distribution of particles in complex pore or crack structures and their evolution laws, which limits the in-depth understanding of the microscopic mechanism of grouting sealing and the accurate prediction of the sealing effect, thereby affecting the accuracy of grouting design and the reliability of construction effect, and these problems need to be solved urgently. Summary of the Invention

[0004] The present invention provides a method and device for analyzing the plugging effect of grouting materials to solve the technical problem in related technical fields that the analysis of the plugging performance of grouting materials mostly relies on macroscopic model tests or analysis of final slurry consolidation bodies, which makes it difficult to reflect the actual migration and plugging mechanism of grouting materials in complex fractures and groundwater dynamic environments, and it is difficult to accurately reveal the coupling response process between grouting materials and strata, resulting in large deviations in the prediction of the plugging effect, affecting the accuracy of grouting design and the reliability of construction.

[0005] The first aspect of the present invention provides an analysis method for the sealing effect of grouting materials, comprising the following steps: collecting images of the entire grouting process of cement-based materials in micron-scale cracks or pipes; eliminating errors and binarizing the images of the entire grouting process to obtain processed images of the entire grouting process; extracting edge features from the processed images of the entire grouting process to segment multiple particles that are adhered but not agglomerated, and determining the particles; calculating the area of ​​the particles, determining particles whose area is greater than a preset agglomerated particle threshold, determining the agglomerated particles and marking them, and obtaining changes in the area and number of the agglomerated particles over time to generate image quantification indicators of the sealing process; and generating analysis results of the sealing effect of the grouting material based on the evolution curve corresponding to the image quantification indicator of the sealing process.

[0006] Through the above technical means, the images of the entire initial grouting process of micron-level cracks are collected, and error elimination and binarization processing are performed, which can effectively improve the image quality, ensure the accuracy and clarity of the image information, provide a reliable basis for subsequent feature extraction, assist in accurately extracting the key morphological features of crack plugging, generate quantitative indicators, and realize scientific evaluation and quantitative analysis of the plugging effect of grouting materials.

[0007] Optionally, in one embodiment of the present invention, the segmentation of multiple particles that are adhered but not agglomerated to determine the particles includes: constructing a segmentation line of the multiple particles that are adhered but not agglomerated based on the extracted edge geometric topological features; and performing particle segmentation according to the segmentation line to determine the particles.

[0008] Through the above technical means, particle segmentation lines are constructed based on geometric topological features, and particle segmentation is performed to determine particles. This can effectively distinguish individual particles that are adhered or overlapped to each other in the image, and extract the boundaries, morphology and spatial distribution characteristics of single particles, thereby achieving accurate identification and quantitative characterization of the number, size distribution and agglomeration state of particles in the slurry, providing a reliable image basis and data support for the subsequent analysis of the migration, deposition and blockage behavior of particles in cracks.

[0009] Optionally, in one embodiment of the present invention, obtaining the area of ​​the agglomerated particles includes: determining the agglomerated particles and marking them; obtaining the area of ​​the agglomerated particles; setting a corresponding pseudo-color range according to the area of ​​the agglomerated particles to generate a linear color bar and scale values; and combining the linear color bar and scale values ​​to obtain a pseudo-color map of the area distribution of the agglomerated particles.

[0010] Through the above technical means, the area of ​​agglomerated particles is determined according to the linear color bar and scale value, which can realize the visual distinction and quantitative expression of the size of agglomerated particles in the image, so that agglomerated particles of different area ranges show intuitive color changes in the image, thereby facilitating the rapid identification of agglomerated particle distribution characteristics and area differences, effectively improving the efficiency and accuracy of agglomerated particle identification and classification, and providing intuitive and clear image support for the subsequent evaluation of agglomerated particle deposition trends, blockage patterns and the sealing performance of grouting materials.

[0011] Optionally, in one embodiment of the present invention, the image quantitative index of the blocking process is generated, including: based on the particles larger than the preset agglomerated particle threshold, determining the agglomerated particles and marking them, obtaining the number of agglomerated particles, and calculating the average area of ​​the agglomerated particles, as well as calculating the area ratio of the agglomerated particles; obtaining the image quantitative index based on the number of agglomerated particles, the average area of ​​the agglomerated particles and the area ratio of the agglomerated particles.

[0012] Through the above technical means, using multiple parameters such as the number of agglomerated particles, the average area of ​​agglomerated particles, and the proportion of the area of ​​agglomerated particles as image quantification indicators, the agglomeration characteristics and sealing behavior of slurry particles in cracks can be fully reflected, revealing the frequency of occurrence, scale characteristics, and the degree of occupation of pore space of the agglomeration phenomenon, thereby deeply analyzing the particle movement mechanism and performance differences of different cement-based grouting materials in the crack sealing process.

[0013] Optionally, in one embodiment of the present invention, the comprehensive evaluation formula for the plugging performance of the analysis result of the plugging effect of the grouting material is:

[0014] ,

[0015] in, express t The plugging performance evaluation value at the time; t Indicates time; α, β, γ Represents the weighting coefficient, satisfying α+β+γ=1 ; N max 、A max They represent the maximum values ​​of the number and average area of ​​agglomerated particles in the experiment, respectively; N agg Indicates the number of agglomerated particles; A avg represents the average area of ​​agglomerated particles; R agg represents the area ratio of agglomerated particles; avg represents the average value; seal Indicates sealing effectiveness; agg Represents agglomerated particles (Aggregates).

[0016] Through the above technical means, the plugging performance is calculated with the help of parameters such as the number of agglomerated particles, the average area of ​​agglomerated particles, and the proportion of the area of ​​agglomerated particles. The plugging ability of the grouting material in the cracks can be quantified, which can comprehensively reflect the strength of the agglomeration and deposition behavior of the particles in the cracks, and effectively measure the plugging efficiency and stability of the material at different grouting stages, thereby achieving a scientific evaluation of the plugging performance of the grouting material.

[0017] The second aspect of the present invention provides an analysis device for the sealing effect of grouting materials, including: an acquisition module for collecting images of the entire grouting process of cement-based materials in micron-level cracks or pipes; an acquisition module for eliminating errors and binarizing the images of the entire grouting process to obtain processed images of the entire grouting process; a determination module for extracting edge features from the processed images of the entire grouting process to segment multiple particles that are adhered but not agglomerated, and determine the particles; a generation module for calculating the area of ​​the particles, determining particles whose area is greater than a preset agglomerated particle threshold, determining the agglomerated particles and marking them, and obtaining changes in the area and number of the agglomerated particles over time to generate image quantitative indicators of the sealing process; an analysis module for generating analysis results of the sealing effect of the grouting material according to the evolution curve corresponding to the image quantitative indicators of the sealing process.

[0018] Through the above technical means, the images of the entire initial grouting process of micron-level cracks are collected, and error elimination and binarization processing are performed, which can effectively improve the image quality, ensure the accuracy and clarity of the image information, provide a reliable basis for subsequent feature extraction, assist in accurately extracting the key morphological features of crack plugging, generate quantitative indicators, and realize scientific evaluation and quantitative analysis of the plugging effect of grouting materials.

[0019] Optionally, in one embodiment of the present invention, the determination module includes: a construction unit for constructing a dividing line of the multiple particles that are adhered but not agglomerated based on the extracted edge geometric topological features; and a determination unit for performing particle segmentation according to the dividing line to determine the particles.

[0020] Through the above technical means, particle segmentation lines are constructed based on geometric topological features, and particle segmentation is performed to determine particles. This can effectively distinguish individual particles that are adhered or overlapped to each other in the image, and extract the boundaries, morphology and spatial distribution characteristics of single particles, thereby achieving accurate identification and quantitative characterization of the number, size distribution and agglomeration state of particles in the slurry, providing a reliable image basis and data support for the subsequent analysis of the migration, deposition and blockage behavior of particles in cracks.

[0021] Optionally, in one embodiment of the present invention, the generation module includes: a marking unit for determining the agglomerated particles and marking them; a first acquisition unit for acquiring the area of ​​the agglomerated particles; a generation unit for setting a corresponding pseudo-color range according to the area of ​​the agglomerated particles to generate a linear color bar and scale values; and a second acquisition unit for combining the linear color bar and scale values ​​to obtain a pseudo-color map of the area distribution of the agglomerated particles.

[0022] Through the above technical means, the size of agglomerated particles in the image can be visually distinguished and quantitatively expressed according to the linear color bar and the area of ​​the scale value agglomerated particles, so that agglomerated particles of different area ranges show intuitive color changes in the image, thereby facilitating the rapid identification of agglomerated particle distribution characteristics and area differences, effectively improving the efficiency and accuracy of agglomerated particle identification and classification, and providing intuitive and clear image support for the subsequent evaluation of agglomerated particle deposition trends, blockage patterns, and the sealing performance of grouting materials.

[0023] Optionally, in one embodiment of the present invention, the generation module includes: a calculation unit, which is used to determine the agglomerated particles and mark them based on the agglomerated particles that are greater than a preset agglomerated particle threshold, and obtain the number of agglomerated particles, calculate the average area of ​​the agglomerated particles, and calculate the area ratio of the agglomerated particles; a third acquisition unit, which is used to obtain the image quantification index based on the number of agglomerated particles, the average area of ​​the agglomerated particles and the area ratio of the agglomerated particles.

[0024] Through the above technical means, using multiple parameters such as the number of agglomerated particles, the average area of ​​agglomerated particles, and the proportion of the area of ​​agglomerated particles as image quantification indicators, the agglomeration characteristics and sealing behavior of slurry particles in cracks can be fully reflected, revealing the frequency of occurrence, scale characteristics, and the degree of occupation of pore space of the agglomeration phenomenon, thereby deeply analyzing the particle movement mechanism and performance differences of different cement-based grouting materials in the crack sealing process.

[0025] Optionally, in one embodiment of the present invention, the comprehensive evaluation formula for the plugging performance of the analysis result of the plugging effect of the grouting material is:

[0026] ,

[0027] in, express t The plugging performance evaluation value at the time; t Indicates time; α, β, γ Represents the weighting coefficient, satisfying α+β+γ=1 ; N max 、A max They represent the maximum values ​​of the number and average area of ​​agglomerated particles in the experiment, respectively; N agg Indicates the number of agglomerated particles; A avg represents the average area of ​​agglomerated particles; R agg represents the area ratio of agglomerated particles; avg represents the average value; seal Indicates sealing effectiveness; aggRepresents agglomerated particles (Aggregates).

[0028] Through the above technical means, the plugging performance is calculated with the help of parameters such as the number of agglomerated particles, the average area of ​​agglomerated particles, and the proportion of the area of ​​agglomerated particles. The plugging ability of the grouting material in the cracks can be quantified, which can comprehensively reflect the strength of the agglomeration and deposition behavior of the particles in the cracks, and effectively measure the plugging efficiency and stability of the material at different grouting stages, thereby achieving a scientific evaluation of the plugging performance of the grouting material.

[0029] A third aspect of the present invention provides an electronic device comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor executes the program to implement the method for analyzing the sealing effect of grouting materials as described in the above embodiment.

[0030] A fourth aspect of the present invention provides a computer-readable storage medium storing a computer program, which, when executed by a processor, implements the above-mentioned method for analyzing the sealing effect of grouting materials.

[0031] A fifth aspect of the present invention provides a computer program product, comprising a computer program, which, when executed, is used to implement the above-mentioned method for analyzing the sealing effect of the grouting material.

[0032] Additional aspects and advantages of the present invention will be set forth in part in the description which follows and, in part, will be obvious from the description which follows, or may be learned through practice of the present invention. BRIEF DESCRIPTION OF THE DRAWINGS

[0033] The above and / or additional aspects and advantages of the present invention will become apparent and readily understood from the following description of the embodiments in conjunction with the accompanying drawings, in which:

[0034] Figure 1 This is a flow chart of a method for analyzing the sealing effect of a grouting material provided according to an embodiment of the present invention;

[0035] Figure 2 A schematic diagram of a microscopic image acquisition system according to an embodiment of the present invention;

[0036] Figure 3 A schematic diagram of a grouting process according to an embodiment of the present invention;

[0037] Figure 4 is a schematic diagram of an image after brightness correction according to an embodiment of the present invention;

[0038] Figure 5 is a schematic diagram of a contrast-enhanced image according to an embodiment of the present invention;

[0039] Figure 6 Schematic diagram of a binarized image according to an embodiment of the present invention;

[0040] Figure 7 A schematic diagram of particle detection and segmented images according to an embodiment of the present invention;

[0041] Figure 8 A schematic diagram of an image after visual display according to an embodiment of the present invention;

[0042] Figure 9 A schematic diagram of a process for analyzing the sealing effect of a grouting material according to an embodiment of the present invention;

[0043] Figure 10 A schematic diagram of curves showing changes of three indicators over time according to an embodiment of the present invention;

[0044] Figure 11 A block diagram of a device for analyzing the plugging effect of a grouting material according to an embodiment of the present invention;

[0045] Figure 12 The figure is a schematic structural diagram of an electronic device provided according to an embodiment of the present invention.

[0046] Reference numerals:

[0047] 10-Analysis device for the sealing effect of grouting materials; 100-Acquisition module, 200-Acquisition module, 300-Determination module, 400-Generation module, 500-Analysis module; 1201-Memory, 1202-Processor, 1203-Communication interface. DETAILED DESCRIPTION

[0048] The following describes embodiments of the present invention in detail, examples of which are shown in the accompanying drawings, wherein the same or similar reference numerals throughout represent the same or similar elements or elements having the same or similar functions. The embodiments described below with reference to the accompanying drawings are exemplary and are intended to be used to explain the present invention, and are not to be construed as limiting the present invention.

[0049] The following describes the analysis method and device of the plugging effect of the grouting material of the embodiment of the present invention with reference to the accompanying drawings. The analysis of the plugging performance of the grouting material mentioned in the above background technology is mostly based on macroscopic model tests or analysis of the final slurry consolidation body, which is difficult to reflect the real propagation and plugging mechanism of the grouting material in the complex fracture and groundwater dynamic environment, and it is difficult to accurately reveal its coupling response process with the stratum, resulting in a large deviation in the prediction of the plugging effect, affecting the accuracy of the grouting design and the technical problem of construction reliability. The present invention provides a method for analyzing the plugging effect of the grouting material, in which, by collecting the image of the whole grouting process of the cement-based slurry in the micro-fracture chip, and combining image processing and particle recognition technology, the agglomeration, deposition and plugging behavior of the slurry particles in the fracture are analyzed, which can achieve accurate quantification of the performance of the grouting material, objectively reflect the differences in the fracture plugging effect and dynamic characteristics of different materials, improve the accuracy and reliability of the grouting effect analysis, and provide a scientific basis for the optimization design of the grouting material and the improvement of the construction process, which has important theoretical value and engineering practicality. This solves the problem that most related technologies are based on macroscopic model tests or analysis of final slurry consolidation bodies, making it difficult to record the microscopic changes of particles in real time and unable to fully reveal the spatial distribution and change patterns of particles, which leads to problems such as affecting the prediction of sealing effects and construction reliability.

[0050] Specifically, Figure 1 A schematic flow chart of a method for analyzing the sealing effect of a grouting material provided in an embodiment of the present invention.

[0051] like Figure 1 As shown, the analysis method of the plugging effect of the grouting material includes the following steps:

[0052] In step S101, images of the entire grouting process of cement-based materials in micron-sized cracks or pipes are collected.

[0053] It should be noted that the device for collecting cement-based materials may include but is not limited to a peristaltic pump, a beaker, a hose, a microcrack chip, an inverted microscope, a CCD (Charge-Coupled Device) high-speed camera and an image storage device. The microcrack chip may be made of a material with good light transmittance, such as polydimethylsiloxane (PDMS) or glass.

[0054] In an embodiment of the present invention, Figure 2As shown, the steps of collecting images of the entire grouting process may include: placing a pre-configured cement-based slurry in a beaker, placing one end of a hose in the beaker, and connecting the other end to the inlet of the micro-crack chip; using a high-precision peristaltic pump to set a constant grouting flow rate, and injecting the slurry into the micron-scale crack chip; during the grouting process, using an inverted microscope combined with an image acquisition device to collect images of the entire process of slurry particles in the microfluidic chip from the beginning to the completion of plugging at set time intervals.

[0055] In step S102, the image of the entire grouting process is subjected to error elimination and binarization processing to obtain a processed image of the entire grouting process.

[0056] In some cases, the processing of digital images may include, but is not limited to, image cropping, image brightness correction, image noise reduction, image contrast enhancement, and binarization.

[0057] Specifically, the image cropping transformation can crop out the part including the crack channel, that is, the complete crack channel, which can be Figure 3 As shown; Image brightness correction can solve the brightness error generated during image acquisition, as shown in Figure 4 As shown in the figure, image denoising can eliminate the noise generated during the shooting process, which is beneficial to improving the accuracy of subsequent processing and calculation. Image contrast enhancement and binarization can evenly distribute the grayscale interval of the denoised image in the entire grayscale range (0-255). Among them, improving the overall contrast can be as follows. Figure 5 As shown; Binarization can transform the image with enhanced contrast into an image with only black and white colors, which can be Figure 6 shown.

[0058] The embodiments of the present invention can effectively improve image quality, enhance the clarity and contrast of target features, reduce noise interference, and ensure accurate identification of cracks and particle boundaries through processing such as digital image cropping, image brightness correction, image noise reduction, image contrast enhancement and binarization, thereby providing a reliable data basis for subsequent image analysis, feature extraction and quantitative evaluation, and improving the accuracy and stability of analysis results.

[0059] In step S103, edge features are extracted from the processed image of the entire grouting process to segment a plurality of particles that are adhered but not aggregated, thereby determining the particles.

[0060] Particles refer to the solid particles that remain incompletely dissolved in cement and its admixtures during the cement grouting process. They are crucial structural units of the slurry, participating in the flow, diffusion, sedimentation, hydration, and final consolidation processes. The properties of the particles directly impact the groutability, stability, sealing effectiveness, and strength of the grouting material. Agglomerated particles are formed during cement-based grouting by the aggregation of two or more particles through factors such as physical adsorption, liquid bridging forces, and cementation. These particles appear as connected or nearly connected particles in the image.

[0061] It is understandable that the embodiment of the present invention can detect particles sequentially. If multiple particles that are adhered but not agglomerated are identified as one particle, the particles are segmented and the detected particles are marked sequentially.

[0062] Optionally, in one embodiment of the present invention, multiple particles that are adhered but not aggregated are segmented to determine the particles, including: constructing a segmentation line for the multiple particles that are adhered but not aggregated based on the extracted edge geometric topological features; and segmenting the particles according to the segmentation line to determine the particles.

[0063] The following examples are given to schematically illustrate the particle segmentation method. The embodiments of the present invention may include the following steps:

[0064] (1) According to the particle morphology of cement-based slurry, agglomerated particles exhibit the characteristic of complete particles, while adhered but unagglomerated particles exhibit the characteristic of small geometric depressions or gaps at the edges between the particles. The embodiments of the present invention can distinguish agglomerated particles from adhered but unagglomerated particles based on this characteristic.

[0065] (2) In an embodiment of the present invention, a segmentation line is constructed for particles that are adhered but not agglomerated based on geometric topological features.

[0066] (3) If Figure 7 As shown, in the embodiment of the present invention, particles are segmented according to the segmentation lines, and the multiple particles segmented by the segmentation lines are treated as independent particles.

[0067] The embodiment of the present invention performs particle segmentation based on geometric topological features, and can use information such as the shape, connectivity, and spatial arrangement of particles to accurately identify and separate particles that are in contact or overlapping with each other, thereby improving the accuracy and robustness of segmentation.

[0068] In step S104, the area of ​​the particles is calculated, particles with an area greater than a preset agglomerated particle threshold are determined, the agglomerated particles are marked, and the changes in the area and number of the agglomerated particles over time are obtained to generate image quantitative indicators of the plugging process.

[0069] The preset agglomeration particle threshold refers to a control upper limit set for the size or proportion of particle clusters in the slurry to ensure the dispersion and stability of the slurry during the preparation and construction of grouting materials. Once the particle size or number of particle clusters in the slurry exceeds this threshold, it can be considered that there is an agglomeration problem and adjustments can be made. The agglomeration particle threshold can be set to xμm 2 ( x It can be a value such as 600 or 700, which can be set by those skilled in the art according to actual conditions and is not specifically limited here). Particles larger than this area value can be identified as agglomerated particles and counted, and the calculation results can be stored in a table.

[0070] As a possible implementation method, an embodiment of the present invention can calculate and mark the areas of particles in the image after particle segmentation in sequence, visualize particles of different areas, and count particles that exceed the agglomeration particle threshold and store the results in a table, thereby realizing the statistics of image quantitative indicators of the blocking process.

[0071] Optionally, in one embodiment of the present invention, obtaining the area of ​​agglomerated particles includes: determining the agglomerated particles and marking them; obtaining the area of ​​the agglomerated particles; setting a corresponding pseudo-color range according to the area of ​​the agglomerated particles to generate a linear color bar and scale values; and combining the linear color bar and scale values ​​to obtain a pseudo-color map of the area distribution of the agglomerated particles.

[0072] Specifically, if Figure 8 As shown, the visualization display can use pseudo-color coding technology to ensure that each particle has corresponding coding and area data. The area data of each particle can be mapped to the pseudo-color range (0-255), and a linear color bar and scale value can be generated to facilitate the interpretation of the area corresponding to particles of different colors, thereby obtaining the area of ​​the desired agglomerated particles.

[0073] Optionally, in one embodiment of the present invention, an image quantitative index of the plugging process is generated, including: based on agglomerated particles greater than a preset agglomerated particle threshold, obtaining the number of agglomerated particles, calculating the average area of ​​the agglomerated particles, and calculating the area ratio of the agglomerated particles; and obtaining the image quantitative index based on the number of agglomerated particles, the average area of ​​the agglomerated particles, and the area ratio of the agglomerated particles.

[0074] Specifically, in an embodiment of the present invention, an image quantification index system with the number of agglomerated particles, the average area of ​​agglomerated particles and the area ratio of agglomerated particles as the core corresponds to the agglomeration performance, anti-erosion performance and sealing performance of the slurry, respectively. The number of agglomerated particles can be used to reflect the aggregation ability of the slurry in the initial stage of formation, and the trend of the increase in the number can be used to evaluate the response speed of the plugging; the average area of ​​agglomerated particles can be used to measure the merging and adhesion ability of agglomerated particles. The faster the area growth rate, the easier it is for the slurry to form a stable and erosion-resistant sealing structure; the area ratio of agglomerated particles can directly characterize the sealing degree and covering efficiency of the slurry in the crack space, and is a key indicator for evaluating the final sealing effect and sealing time. The three together constitute an image evaluation index of material performance, which can be used to compare the sealing ability and performance advantages and disadvantages of different grouting materials throughout the grouting process.

[0075] The following describes the image quantization index of the present invention in detail using a specific example. The embodiments of the present invention may include:

[0076] (1) The number of agglomerated particles can be used to reflect the agglomeration ability and plugging start-up speed of the slurry during the grouting process. Its value is the total number of individuals identified as agglomerated particles in each frame of the image.

[0077] (2) The average area of ​​agglomerated particles can be used to measure the stability of particles attached to the wall and their ability to resist erosion. Rapid growth is conducive to the formation of a more stable plugging structure. The calculation formula can be expressed as:

[0078] ,

[0079] in, A i Indicates the i The actual area of ​​agglomerated particles; i represents the index of agglomerated particles; n t Indicates the number of agglomerated particles in the current frame image.

[0080] It should be noted that A i The number of foreground pixels occupied by the particle in the image P i With single pixel area A pixel Multiply and calculate, that is A i =P i ×A pixel .

[0081] (3) The area ratio of agglomerated particles can be used to characterize the spatial coverage of the plugging structure formed by the slurry in the crack space. Its value is the ratio of the total area of ​​agglomerated particles to the total area of ​​the crack region in the image. The calculation formula can be expressed as:

[0082] ,

[0083] in, ∑A i is the sum of the areas of all agglomerated particles, S total is the total effective area of ​​the crack channel region in the image.

[0084] In an embodiment of the present invention, by continuously extracting and trending the above-mentioned indicators along the image time series, quantitative evaluation of key properties such as grouting material agglomeration behavior, plugging speed and stability can be achieved.

[0085] Furthermore, based on the normalized three core indicators (number of agglomerated particles, average area, and area ratio), the embodiment of the present invention can construct a comprehensive evaluation formula for plugging performance.

[0086] Optionally, in one embodiment of the present invention, the comprehensive evaluation formula for the plugging performance of the analysis results of the plugging effect of the grouting material can be expressed as:

[0087] ,

[0088] in, express t The plugging performance evaluation value at the time; t Indicates time; α, β, γ Represents the weighting coefficient, satisfying α+β+γ=1 ; N max 、A max They represent the maximum values ​​of the number and average area of ​​agglomerated particles in the experiment, respectively; N agg Indicates the number of agglomerated particles; A avg represents the average area of ​​agglomerated particles; R agg represents the area ratio of agglomerated particles; avg represents the average value; seal Indicates sealing effectiveness; agg Represents agglomerated particles (Aggregates).

[0089] In the embodiments of the present invention, the above index system can be used for comparative analysis and evaluation of the performance of cement-based grouting materials with different dosages or proportions, and has good comparability and engineering applicability.

[0090] In step S105, an analysis result of the plugging effect of the grouting material is generated according to the evolution curve corresponding to the image quantification index of the plugging process.

[0091] It can be understood that the embodiment of the present invention can analyze the quantitative index evolution curve of the entire grouting process in the entire image sequence, compare the differences in the sealing performance of different cement-based grouting materials, and systematically evaluate the performance advantages and disadvantages of various cement-based grouting materials, which can provide a reliable basis for material selection and parameter optimization.

[0092] The effectiveness of the method for analyzing the plugging effect of grouting materials according to an embodiment of the present invention is schematically illustrated below using a specific example.

[0093] In the embodiment of the present invention, a grouting test is performed on a micro-crack chip with a width of 500 μm, wherein the grouting flow rate is 50 μL / min, 1000 mesh ultrafine cement is used as the grouting material, and an image acquisition system is used to observe and collect the grouting process. Three quantitative indicators are obtained through image quantification technology to evaluate the sealing effect of the cement-based material.

[0094] like Figure 9 As shown, the specific steps of the embodiment of the present invention can be as follows:

[0095] (1) Image of the entire grouting process.

[0096] The embodiment of the present invention can use an image acquisition device such as a peristaltic pump to acquire images of the entire grouting process of cement-based materials in micron-sized cracks or pipes, including images of the entire process from the start to the end of grouting.

[0097] (2) Image preprocessing.

[0098] Specifically, the embodiment of the present invention can use digital image processing technology to eliminate errors and perform preprocessing such as binarization on the image, where the preprocessing content may include but is not limited to image cropping transformation, image brightness correction, image noise reduction, image contrast improvement and binarization.

[0099] (3) Image edge extraction.

[0100] Furthermore, the embodiment of the present invention can perform an edge extraction operation on the binarized image to further improve the particle contour precision and ensure the accuracy of the particle quantification result.

[0101] (4) Particle monitoring and segmentation.

[0102] In this embodiment of the present invention, particles can be inspected sequentially. If multiple particles that are adhered but not aggregated are identified as a single particle, these particles are segmented and the inspected particles are visualized. The main steps of particle monitoring and segmentation may include, but are not limited to, morphological processing, identification of aggregated particles, segmentation of non-agglomerated particles, and visualization.

[0103] (5) Quantitative indicator statistics.

[0104] In actual implementation, embodiments of the present invention can calculate the area of ​​particles in the segmented image, count particles exceeding the agglomerated particle threshold, and store the results in a table, thereby achieving image quantitative metrics for the occlusion process. These metrics may include, but are not limited to, the number of agglomerated particles, the average area of ​​agglomerated particles, and the percentage of agglomerated particle area.

[0105] As a possible way to achieve this, Figure 10 As shown, the agglomerated particle threshold can be set to 600 μm 2 , the agglomerated particles larger than this area value are counted, the calculation results can be stored in a table, and according to the image quantification of the whole process, the number of agglomerated particles, the average area of ​​agglomerated particles, and the area ratio of agglomerated particles are made into a time relationship curve for analysis.

[0106] Furthermore, the embodiment of the present invention analyzes the inflection points of the curve at each key moment and the indicator evolution trend, which can be specifically as follows:

[0107] At the initial stage of grouting (0–94 s), the number and average area of ​​agglomerated particles were low, the particles were dispersed, and no effective agglomeration structure had yet been formed. The area ratio of agglomerated particles was close to zero, and plugging had not yet begun. At 94 s, the number of agglomerated particles increased rapidly, indicating that the slurry had good initial agglomeration ability. Particles aggregated in some areas, the average area increased synchronously, and the area ratio of agglomerated particles began to increase, initially entering the plugging stage. At 163 s, the particles intensified their aggregation on the crack wall, the number of agglomerated particles remained high, the average area further increased, the agglomerated structure gradually stabilized, the area ratio increased significantly, and the plugging range expanded. At 325 s, the average area remained stable. The particles continued to expand and develop toward the middle of the channel. Their number decreased slightly, but the aggregation trend was still obvious. The area ratio of agglomerated particles increased rapidly, indicating that the agglomerated particles in the slurry had a significant blocking effect on the flow and the plugging process was accelerated. During 337–356 s, the number of particles gradually decreased, the average area increased significantly, the particles merged into larger agglomerated particles, the area ratio of agglomerated particles increased rapidly, the crack space was quickly filled, and the plugging structure tended to be complete. Finally, at 391 s, the average area reached its maximum value, the number of particles tended to stabilize, the area ratio of agglomerated particles approached the saturation value, a continuous and stable plugging structure was formed on both sides of the crack, the slurry flow was basically blocked, and the plugging effect was achieved.

[0108] By analyzing the changing inflection points and indicator evolution trends of the curve at each key moment, the embodiment of the present invention can effectively identify the start-up, acceleration and stabilization stages of the slurry plugging behavior, and provide a scientific basis and evaluation reference for the dosage control and ratio optimization of cement-based grouting materials.

[0109] (6) Comparative analysis.

[0110] The embodiment of the present invention can analyze the quantitative index evolution curve of the entire grouting process in the entire image sequence, compare the differences in the sealing performance of different cement-based grouting materials, and systematically evaluate the performance advantages and disadvantages of various cement-based grouting materials, providing a reliable basis for material selection and parameter optimization.

[0111] In an embodiment of the present invention, by relying on key indicators such as the number of agglomerated particles, average area and area ratio extracted through image processing, the full process characterization of slurry agglomeration behavior and plugging efficiency can be achieved. Through the evolution trend of the image sequence, the agglomeration rate and plugging performance of different material systems can be accurately reflected, providing a new dynamic and quantitative path for grouting performance evaluation.

[0112] According to the analysis method of the sealing effect of grouting materials proposed in an embodiment of the present invention, grouting experiments are carried out in micron-scale crack chips, and image acquisition is carried out at set time intervals. The system records the particle behavior of cement-based slurry during the entire grouting process, and the image is standardized and the particles are identified to obtain parameters such as the number, area and distribution of particles. Without relying on static instruments such as scanning electron microscopes and X-ray diffraction, it is possible to quantitatively analyze the agglomeration, deposition and sealing behavior of slurry particles in cracks, and systematically evaluate the performance of various cement-based grouting materials at the microscale, thereby providing a scientific basis for performance evaluation, dosage optimization and material selection of cement-based grouting materials, and can improve the adaptability of grouting materials and engineering application effects.

[0113] Next, a device for analyzing the plugging effect of grouting materials according to an embodiment of the present invention will be described with reference to the accompanying drawings.

[0114] Figure 11 It is a block diagram of a device for analyzing the plugging effect of grouting materials according to an embodiment of the present invention.

[0115] like Figure 11 As shown, the device 10 for analyzing the plugging effect of grouting materials includes: a collection module 100 , an acquisition module 200 , a determination module 300 , a generation module 400 , and an analysis module 500 .

[0116] The acquisition module 100 is used to acquire images of the entire grouting process of cement-based materials in micron-scale cracks or pipes;

[0117] The acquisition module 200 is used to eliminate errors and perform binarization processing on the image of the entire grouting process to obtain a processed image of the entire grouting process.

[0118] The determination module 300 is used to extract edge features from the processed image of the entire grouting process, so as to segment multiple particles that are adhered but not aggregated, and determine the particles.

[0119] Generation module 400 is used to calculate the area of ​​agglomerated particles, identify particles with an area greater than a preset agglomerated particle threshold, mark the agglomerated particles, and obtain the changes in the area and number of agglomerated particles over time to generate image quantitative indicators of the plugging process;

[0120] The analysis module 500 is used to generate an analysis result of the plugging effect of the grouting material according to the evolution curve corresponding to the image quantitative index of the plugging process.

[0121] Optionally, in one embodiment of the present invention, the determination module 300 includes: a construction unit and a determination unit.

[0122] Wherein: a construction unit is used to construct a segmentation line of multiple particles that are adhered but not agglomerated based on the extracted edge geometric topological features;

[0123] The determination unit is used to perform particle segmentation according to the segmentation line to determine the particles.

[0124] Optionally, in one embodiment of the present invention, the generating module 400 includes: a marking unit, a first acquiring unit, a generating unit and a second acquiring unit.

[0125] The marking unit is used to identify and mark agglomerated particles.

[0126] The first acquiring unit is used to acquire the area of ​​the agglomerated particles.

[0127] The generating unit is used to set the corresponding pseudo color range according to the area of ​​the agglomerated particles to generate a linear color bar and scale value.

[0128] The second acquisition unit is used to combine the linear color bar and the scale value to obtain a pseudo-color map of the area distribution of the agglomerated particles.

[0129] Optionally, in one embodiment of the present invention, the generating module 400 includes: a calculating unit and a third acquiring unit.

[0130] The calculation unit is used to determine the agglomerated particles and mark them based on particles larger than a preset agglomerated particle threshold, obtain the number of agglomerated particles, calculate the average area of ​​the agglomerated particles, and calculate the area ratio of the agglomerated particles.

[0131] The third acquisition unit is used to obtain image quantitative indicators according to the number of agglomerated particles, the average area of ​​agglomerated particles, and the area ratio of agglomerated particles.

[0132] Optionally, in one embodiment of the present invention, the comprehensive evaluation formula for the plugging performance of the analysis result of the plugging effect of the grouting material is:

[0133] ,

[0134] in, express t The plugging performance evaluation value at the time; t Indicates time; α, β, γ Represents the weighting coefficient, satisfying α+β+γ=1 ; N max 、A max They represent the maximum values ​​of the number and average area of ​​agglomerated particles in the experiment, respectively; N agg Indicates the number of agglomerated particles; A avg represents the average area of ​​agglomerated particles; R agg represents the area ratio of agglomerated particles; avg represents the average value; seal Indicates sealing effectiveness; agg Represents agglomerated particles (Aggregates).

[0135] It should be noted that the explanation of the embodiment of the analysis method of the plugging effect of the grouting material mentioned above is also applicable to the analysis device of the plugging effect of the grouting material of this embodiment, and will not be repeated here.

[0136] According to the analysis device for the plugging effect of grouting materials proposed in an embodiment of the present invention, images of the entire grouting process of cement-based slurry are collected in a micro-crack chip, and combined with image processing and particle recognition technology, the agglomeration, deposition and plugging behavior of slurry particles in the cracks are quantitatively analyzed. This can systematically evaluate the performance of various cement-based grouting materials at the microscale, accurately reveal the key stages such as the start-up, acceleration and stabilization of the plugging behavior under different material ratios, capture the dynamic characteristics of particle movement and aggregation, and realize visualization, quantification and comparable analysis of the grouting process, thereby providing a scientific basis for performance evaluation, dosage optimization and material selection of cement-based grouting materials, and improving the adaptability of grouting materials and engineering application effects.

[0137] Figure 12 This is a schematic diagram of the structure of an electronic device provided by an embodiment of the present invention. The electronic device may include:

[0138] A memory 1201 , a processor 1202 , and a computer program stored in the memory 1201 and executable on the processor 1202 .

[0139] When the processor 1202 executes the program, the analysis method of the grouting material blocking effect provided in the above embodiment is implemented.

[0140] Furthermore, the electronic device further includes:

[0141] The communication interface 1203 is used for communication between the memory 1201 and the processor 1202 .

[0142] The memory 1201 is used to store computer programs that can be run on the processor 1202 .

[0143] The memory 1201 may include a high-speed RAM memory, and may also include a non-volatile memory (non-volatile memory), such as at least one disk memory.

[0144] If the memory 1201, processor 1202, and communication interface 1203 are implemented independently, the communication interface 1203, memory 1201, and processor 1202 can be interconnected via a bus and communicate with each other. The bus can be an Industry Standard Architecture (ISA) bus, a Peripheral Component Interconnect (PCI) bus, or an Extended Industry Standard Architecture (EISA) bus. Buses can be divided into address buses, data buses, control buses, etc. For ease of representation, Figure 12 Only one thick line is used in the diagram, but this does not mean that there is only one bus or one type of bus.

[0145] Optionally, in a specific implementation, if the memory 1201, the processor 1202 and the communication interface 1203 are integrated on a chip, the memory 1201, the processor 1202 and the communication interface 1203 can communicate with each other through an internal interface.

[0146] The processor 1202 may be a central processing unit (CPU), an application specific integrated circuit (ASIC), or one or more integrated circuits configured to implement the embodiments of the present invention.

[0147] This embodiment also provides a computer-readable storage medium having a computer program stored thereon. When the program is executed by a processor, the above-mentioned method for analyzing the sealing effect of the grouting material is implemented.

[0148] An embodiment of the present invention further provides a computer program product, including a computer program, which can run computer instructions. When the computer instructions are executed by a processor, the analysis method of the grouting material sealing effect provided by the embodiment of the present invention is implemented.

[0149] In the description of this specification, the description with reference to the terms "one embodiment", "some embodiments", "example", "specific example", or "some examples" means that the specific features, structures, materials or characteristics described in conjunction with the embodiment or example are included in at least one embodiment or example of the present invention. In this specification, the schematic expressions of the above terms do not necessarily refer to the same embodiment or example. Moreover, the specific features, structures, materials or characteristics described can be combined in any one or N embodiments or examples in a suitable manner. In addition, those skilled in the art can combine and combine different embodiments or examples described in this specification and the features of different embodiments or examples without contradiction.

[0150] Furthermore, the terms "first" and "second" are used for descriptive purposes only and should not be understood to indicate or imply relative importance or implicitly specify the number of technical features indicated. Thus, a feature specified as "first" or "second" may explicitly or implicitly include at least one such feature. In the description of the present invention, "N" means at least two, such as two, three, etc., unless otherwise specifically defined.

[0151] Any process or method description in a flowchart or otherwise described herein may be understood to represent a module, segment or portion of code comprising one or N executable instructions for implementing a custom logical function or step of a process, and the scope of the preferred embodiments of the present invention includes alternative implementations in which functions may be performed out of the order shown or discussed, including performing functions in a substantially simultaneous manner or in the reverse order depending on the functions involved, which should be understood by those skilled in the art to which the embodiments of the present invention pertain.

[0152] The logic and / or steps represented in a flowchart or otherwise described herein, for example, can be considered a sequenced list of executable instructions for implementing the logical functions, and can be embodied in any computer-readable medium for use by, or in conjunction with, an instruction execution system, apparatus, or device (e.g., a computer-based system, a system including a processor, or other system that can fetch and execute instructions from an instruction execution system, apparatus, or device). For purposes of this specification, a "computer-readable medium" is any device that can contain, store, communicate, propagate, or transport a program for use by, or in conjunction with, an instruction execution system, apparatus, or device. More specific examples (not exhaustive) of computer-readable media include: an electrical connection with one or more wires (electronic devices), a portable computer disk cartridge (magnetic device), random access memory (RAM), read-only memory (ROM), erasable and programmable read-only memory (EPROM or flash memory), fiber optic devices, and a portable compact disc read-only memory (CDROM). In addition, the computer-readable medium may even be paper or other suitable medium on which the program is printed, since the program can be obtained electronically by optically scanning the paper or other medium and then editing, interpreting or processing it in other suitable ways as necessary, and then storing it in a computer memory.

[0153] It should be understood that various components of the present invention may be implemented using hardware, software, firmware, or a combination thereof. In the aforementioned embodiment, the N steps or methods may be implemented using software or firmware stored in a memory and executed by a suitable instruction execution system. If implemented using hardware, as in another embodiment, it may be implemented using any one or a combination of the following technologies known in the art: discrete logic circuits having logic gates for implementing logic functions on data signals, application-specific integrated circuits having suitable combinational logic gates, programmable gate arrays (PGAs), field-programmable gate arrays (FPGAs), etc.

[0154] Those skilled in the art will understand that all or part of the steps in the method of the above embodiment can be completed by instructing related hardware through a program, and the program can be stored in a computer-readable storage medium. When the program is executed, it includes one or a combination of the steps of the method embodiment.

[0155] In addition, the functional units in the various embodiments of the present invention may be integrated into a single processing module, or each unit may exist physically separately, or two or more units may be integrated into a single module. The aforementioned integrated modules may be implemented in the form of hardware or in the form of software functional modules. If the integrated modules are implemented in the form of software functional modules and sold or used as independent products, they may also be stored in a computer-readable storage medium.

[0156] The storage medium mentioned above may be a read-only memory, a magnetic disk, or an optical disk, etc. Although the embodiments of the present invention have been shown and described above, it should be understood that the above embodiments are exemplary and should not be construed as limiting the present invention. Persons skilled in the art may make changes, modifications, substitutions, and variations to the above embodiments within the scope of the present invention.

Claims

1. A method for analyzing the plugging effect of grouting materials, characterized in that: The following steps are involved: Capture images of the entire grouting process of cement-based materials in micron-scale cracks or pipes; Eliminating errors and performing binarization processing on the image of the entire grouting process to obtain a processed image of the entire grouting process; Extracting edge features from the processed image of the entire grouting process to segment multiple particles that are adhered but not aggregated, and determining the particles; Calculating the area of ​​the particles, determining particles whose area is greater than a preset agglomerated particle threshold, marking the agglomerated particles, and obtaining the changes in the area and number of the agglomerated particles over time to generate image quantitative indicators of the plugging process; generating an analysis result of the plugging effect of the grouting material according to the evolution curve corresponding to the image quantification index of the plugging process; Among them, the image quantitative index of the plugging process is generated, including: based on the particles larger than the preset agglomerated particle threshold, determining the agglomerated particles and marking them, and obtaining the number of agglomerated particles, calculating the average area of ​​the agglomerated particles, and calculating the area ratio of the agglomerated particles; and obtaining the image quantitative index according to the number of agglomerated particles, the average area of ​​the agglomerated particles and the area ratio of the agglomerated particles.

2. The method for analyzing the sealing effect of grouting materials according to claim 1, characterized in that: The step of segmenting the plurality of particles that are adhered but not aggregated and determining the particles comprises: Based on the extracted edge geometric topological features, a segmentation line is constructed for the plurality of particles that are adhered but not agglomerated; Particle segmentation is performed according to the segmentation lines to determine particles.

3. The method for analyzing the sealing effect of grouting materials according to claim 1, characterized in that: The obtaining of the area of ​​the agglomerated particles comprises: Identify agglomerated particles and mark them; obtaining the area of ​​the agglomerated particles; Setting a corresponding pseudo-color range according to the area of ​​the agglomerated particles to generate a linear color bar and scale value; Combining the linear color bar with the scale value yields a pseudo-color map of the area distribution of agglomerated particles.

4. The method for analyzing the sealing effect of grouting materials according to claim 1, characterized in that: The comprehensive evaluation formula for the plugging performance of the analysis results of the plugging effect of the grouting material is: ， in, express t The plugging performance evaluation value at the time; t Indicates time; α, β, γ represents the weighting coefficient; N max 、 A max They represent the maximum values ​​of the number and average area of ​​agglomerated particles in the experiment, respectively; N agg Indicates the number of agglomerated particles; A avg represents the average area of ​​agglomerated particles; R agg represents the area ratio of agglomerated particles; avg represents the average value; seal Indicates the blocking effect; a gg represents agglomerated particles.

5. An analysis device for the plugging effect of grouting materials, characterized in that: include: An acquisition module is used to capture images of the entire grouting process of cement-based materials in micron-scale cracks or pipes; An acquisition module is used to eliminate errors and perform binarization processing on the image of the entire grouting process to obtain a processed image of the entire grouting process; a determination module, configured to extract edge features from the processed image of the entire grouting process, so as to segment a plurality of particles that are adhered but not aggregated, and determine the particles; a generation module, configured to calculate the area of ​​the particles, identify particles whose area is greater than a preset agglomerated particle threshold, mark the agglomerated particles, and obtain the changes in the area and number of the agglomerated particles over time to generate image quantification indicators of the plugging process; An analysis module, configured to generate an analysis result of the plugging effect of the grouting material according to an evolution curve corresponding to the image quantification index of the plugging process; Among them, the generation module includes: a calculation unit, which is used to determine the agglomerated particles and mark them based on the agglomerated particles that are greater than the preset agglomerated particle threshold, and obtain the number of agglomerated particles, calculate the average area of ​​the agglomerated particles, and calculate the area ratio of the agglomerated particles; a third acquisition unit, which is used to obtain the image quantification index based on the number of agglomerated particles, the average area of ​​the agglomerated particles and the area ratio of the agglomerated particles.

6. The device for analyzing the sealing effect of grouting materials according to claim 5, characterized in that: The determining module includes: A construction unit, configured to construct a segmentation line for the plurality of particles that are adhered but not agglomerated based on the extracted edge geometric topological features; The determining unit is configured to perform particle segmentation according to the segmentation line to determine the particles.

7. An electronic device, characterized in that: include: A memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor executes the program to implement the method for analyzing the plugging effect of the grouting material according to any one of claims 1 to 4.

8. A computer-readable storage medium having a computer program stored thereon, characterized in that: The program is executed by a processor to implement the analysis method of the sealing effect of the grouting material as described in any one of claims 1 to 4.

9. A computer program product comprising a computer program, characterized in that The computer program is executed to implement the method for analyzing the plugging effect of the grouting material according to any one of claims 1 to 4.

Images