Grouting effect evaluation method and system based on resistivity continuous detection

Abstract

The invention relates to a grouting effect evaluation method and system based on resistivity continuous detection, and the method comprises the steps: carrying out the traversal of a transmitting electrode and a receiving electrode, and generating a data unit; generating a grouting model diagram by using the data unit and determining an abnormal body in the grouting model diagram; dividing the abnormal body to obtain a plurality of abnormal monomers; analyzing a surface existing around the abnormal monomer by taking the position of the abnormal monomer as a reference, and dividing the surface into a credible surface and an uncredible surface; and regenerating the untrusted surface, determining the definition change of the untrusted surface, selecting to convert the untrusted surface into a trusted surface or retain the untrusted surface, and determining a diffusion range and an effective grouting range in the grouting model diagram according to the trusted surface. According to the grouting effect evaluation method and system based on resistivity continuous detection, the edge position is determined through the secondary modeling analysis mode of the grouting model diagram, and the more accurate diffusion range and effective grouting range are obtained.

Description

Technical Field

[0001] This invention relates to the field of automated detection and data processing technology, and in particular to a method and system for evaluating grouting effect based on continuous resistivity detection. Background Technology

[0002] Grouting effect evaluation refers to the process of comprehensively assessing the improvement effect of grouting on the strata or structure after grouting operations in fields such as geotechnical engineering, building engineering, and mining engineering, through a series of detection, testing, and analysis methods. Its core purpose is to verify whether the grouting project has achieved the predetermined design goals and requirements.

[0003] Evaluation of grouting effectiveness is a crucial step in ensuring grouting quality and construction safety. Current evaluation methods mainly include analytical methods, borehole inspection methods, and excavation sampling methods. Analytical methods indirectly reflect grouting effectiveness through the relationship between grouting volume, grouting pressure, and grouting time, but they rely on construction experience and have a degree of uncertainty. Borehole inspection methods can directly reflect the grout filling situation; however, they are cumbersome, and in practice, only a small number of points are usually sampled for verification, resulting in a limited perspective. Excavation sampling methods can only be conducted after excavation, essentially a post-event assessment, and have limited effectiveness in controlling grouting quality before excavation.

[0004] Continuous resistivity testing is a new method that enables continuous non-destructive testing. One advantage is that it allows for continuous process analysis of the grouting process and provides technical guidance for the grouting process. However, the reliability of the data is limited by distance, which restricts the evaluation of edge locations. Summary of the Invention

[0005] This invention provides a method and system for evaluating grouting effect based on continuous resistivity detection. By using a secondary modeling and analysis method on the grouting model diagram, the edge position is clarified, thereby obtaining a more accurate diffusion range and effective grouting range.

[0006] The above-mentioned objective of the present invention is achieved through the following technical solution:

[0007] In a first aspect, the present invention provides a method for evaluating grouting effect based on continuous resistivity detection, comprising:

[0008] The transmitting and receiving electrodes are traversed to generate data units. During the traversal, the transmitting electrode emits a detection signal, and the receiving electrode generates a feedback signal after receiving the detection signal.

[0009] Use data units to generate grouting model diagrams and identify anomalies in the grouting model diagrams;

[0010] The anomalous body is divided into multiple individual anomalous bodies;

[0011] Based on the location of the anomalous individual, the surfaces surrounding the anomalous individual are analyzed, and the surfaces are divided into credible surfaces and uncredible surfaces.

[0012] Regenerate the untrusted surface and determine the clarity change of the untrusted surface, then choose to convert the untrusted surface into a trustworthy surface or retain it;

[0013] The diffusion range and effective grouting range in the grouting model diagram are determined based on the reliable surface.

[0014] During the traversal, each time a transmitting electrode is replaced, all receiving electrodes are traversed.

[0015] Each data unit includes a feedback signal, a receiving signal transmitting electrode position associated with the feedback signal, and a receiving electrode position associated with the feedback signal.

[0016] In one possible implementation of the first aspect, when dividing the anomaly body, the division is based on the extension direction of the anomaly body, and a single anomaly body has only one extension direction.

[0017] In one possible implementation of the first aspect, analyzing the surface surrounding the anomalous entity based on its location includes:

[0018] Determine the extension line and outer surface of the abnormal monomer. There are multiple outer surfaces of the monomer. The perpendicular line passing through the outer surface of the monomer intersects the extension line of the abnormal monomer.

[0019] Calculate the sharpness of the outer surface of each individual unit;

[0020] The confidence level of an anomalous monomer is given based on the clarity of its outer surface. The confidence level of an anomalous monomer is the ratio of the clarity of the outer surface of a monomer that meets the requirements to the total clarity of all monomer outer surfaces.

[0021] In one possible implementation of the first aspect, calculating the sharpness of the monomer's outer surface includes:

[0022] Establish a vertical line perpendicular to the outer surface of the monomer and use the resistivity values ​​on the vertical line to establish an analytical reference line;

[0023] Determine the slope abrupt change region and the width of the slope abrupt change region on the analysis reference line;

[0024] The sharpness of the outer surface of a single unit is determined based on the width of the slope abrupt change region and the distribution of the width of the slope abrupt change region.

[0025] In one possible implementation of the first aspect, the sharpness of the anomalous monomer is further included, wherein the sharpness of the anomalous monomer is the ratio of the height of the anomalous monomer on the corresponding extension line to the maximum area of ​​the anomalous monomer perpendicular to the corresponding extension line.

[0026] In one possible implementation of the first aspect, regenerating the untrusted surface includes:

[0027] Determine the first data unit involved in generating the untrusted surface and the second data unit associated with generating the untrusted surface;

[0028] Select a second data unit whose generation path is similar to that of the first data unit;

[0029] Contour lines are drawn to divide the generation path of the first data unit and the generation path of the second data unit.

[0030] Replace the corresponding generated path parameter of the first data unit with the generated path parameter of the second data unit that has been segmented.

[0031] During the replacement process, the generation path parameters of the second data unit after the segmentation process also need to be corrected according to the length ratio.

[0032] In one possible implementation of the first aspect, the replacement process requires determining the replacement range of the generation path of the first data unit. Determining the replacement range of the generation path of the first data unit includes:

[0033] Identify the trustworthy surfaces adjacent to the untrustworthy surfaces;

[0034] Determine the generation path of the first data cell located below the adjacent trusted surface;

[0035] The generation path of the first data unit located below the adjacent trusted surface is replaced using the generation path of the corresponding second data unit.

[0036] Secondly, the present invention provides a first aspect, namely, a grouting effect evaluation device based on continuous resistivity detection, comprising:

[0037] The first data processing unit is used to traverse the transmitting electrode and the receiving electrode and generate a data unit. During the traversal, the transmitting electrode emits a detection signal and the receiving electrode generates a feedback signal after receiving the detection signal.

[0038] The second data processing unit is used to generate a grouting model diagram using the data unit and to identify anomalies in the grouting model diagram;

[0039] The partitioning unit is used to divide the anomaly body into multiple individual anomalies;

[0040] The analysis processing unit is used to analyze the surfaces surrounding the anomalous entity based on the location of the anomalous entity, and divide the surfaces into reliable surfaces and unreliable surfaces.

[0041] The regeneration unit is used to regenerate untrusted surfaces and determine the sharpness changes of untrusted surfaces, choosing to convert untrusted surfaces into trusted surfaces or retain them;

[0042] The result output unit is used to determine the diffusion range and effective grouting range in the grouting model diagram based on the reliable surface.

[0043] During the traversal, each time a transmitting electrode is replaced, all receiving electrodes are traversed.

[0044] Each data unit includes a feedback signal, a receiving signal transmitting electrode position associated with the feedback signal, and a receiving electrode position associated with the feedback signal.

[0045] Thirdly, the present invention provides a grouting effect evaluation system based on continuous resistivity detection, the system comprising:

[0046] One or more memories for storing instructions; and

[0047] One or more processors are configured to call and execute the instructions from the memory to perform the methods described in the first aspect and any possible implementation thereof.

[0048] Fourthly, the present invention provides a computer-readable storage medium comprising:

[0049] The program, when run by a processor, is executed as described in the first aspect and any possible implementation thereof.

[0050] Fifthly, the present invention provides a computer program product, including program instructions that, when the program instructions are run by a computing device, execute the method described in the first aspect and any possible implementation thereof.

[0051] In a sixth aspect, the present invention provides a chip system including a processor for implementing the functions involved in the foregoing aspects, such as generating, receiving, transmitting, or processing data and / or information involved in the foregoing methods.

[0052] This chip system can consist of chips or include chips and other discrete components.

[0053] In one possible design, the chip system also includes a memory for storing necessary program instructions and data. The processor and the memory can be decoupled and located on different devices, connected via wired or wireless means, or the processor and the memory can be coupled to the same device. Attached Figure Description

[0054] Figure 1 This is a structural schematic diagram of a three-dimensional parallel electrical observation system provided by the present invention.

[0055] Figure 2 This is a flowchart illustrating the steps of a grouting effect evaluation method provided by the present invention.

[0056] Figure 3 This is a schematic diagram illustrating the principle of data acquisition provided by the present invention.

[0057] Figure 4 This is a schematic diagram of the evolution process in the grouting process provided by the present invention.

[0058] Figure 5 This invention provides a grouting model diagram obtained using inversion imaging.

[0059] Figure 6 This is a schematic diagram of a region of sudden slope change on an analytical reference line provided by the present invention.

[0060] Figure 7 This is a schematic diagram illustrating the segmentation process of the generation path of the first data unit and the generation path of the second data unit provided by the present invention. Detailed Implementation

[0061] To better understand the technical solutions in this invention, the relevant content will be introduced first.

[0062] When implementing a continuous resistivity testing scheme in a certain area, it is necessary to first understand the relevant geological parameters, process parameters, and construction process. This data helps in the construction and generation of grouting model diagrams. In addition, it is also necessary to prepare basic parameters. The basic parameters are obtained by simulating different grouting conditions in the laboratory and studying the influence of multiple factors such as grout type (e.g., cement grout, chemical grout, clay grout, etc.), water-cement ratio, temperature, groundwater salinity, and pore structure of the grouting medium on resistivity evolution. The basic parameters obtained at this time, combined with the content mentioned above, can guide the construction of grouting model diagrams.

[0063] During the grouting process, a three-dimensional parallel electrical resistivity tomography (EPT) monitoring system is deployed, such as... Figure 1As shown, the system achieves minute-level continuous acquisition and three-dimensional inversion imaging of the resistivity distribution in the grouting area. The monitoring electrodes are distributed on the upper and lower surfaces of the mining face. The monitoring host (No. 1 and No. 2 are responsible for data acquisition) sends the data from the monitoring host to the underground optical transceiver and then to the ground server through the underground industrial ring network. The ground server is responsible for subsequent data processing, or it can send the data to a remote service platform for processing and then display it on the ground server. The power supply shown in the figure is responsible for power supply, which will not be described in detail here.

[0064] The specific principles of 3D inversion imaging are as follows:

[0065] Step 1: Given a current reference three-dimensional resistivity model, calculate the potential difference that should theoretically be measurable under this model.

[0066] The second step is to compare the theoretical value (Uc) calculated by forward modeling with the measured value (Um) in the field and define a data objective function, which is usually in the form of least squares, that is, the weighted sum of squares of all data residuals (Um - Uc).

[0067] The third step is inversion calculation. For example, the Jacobian matrix can be used (which shows how much the resistivity of a small underground block will affect which measurement value on the surface). This allows the reference three-dimensional resistivity model from the first step to approximate the actual three-dimensional resistivity model and iterates continuously until the residuals disappear or are reduced to an acceptable range.

[0068] The technical solutions of the present invention will be further described in detail below with reference to the accompanying drawings.

[0069] This invention discloses a method for evaluating grouting effect based on continuous resistivity detection. Please refer to [link / reference]. Figure 2 In some examples, this invention discloses a method for evaluating grouting effect based on continuous resistivity detection, comprising the following steps:

[0070] S101, the transmitting electrode and the receiving electrode are traversed to generate a data unit. During the traversal, the transmitting electrode emits a detection signal and the receiving electrode generates a feedback signal after receiving the detection signal.

[0071] S102, Use data units to generate grouting model diagrams and identify anomalous bodies in the grouting model diagrams;

[0072] S103, the anomalous body is divided into multiple anomalous individual bodies;

[0073] S104, using the location of the anomalous individual as a reference, analyzes the surface surrounding the anomalous individual and divides the surface into credible surfaces and uncredible surfaces;

[0074] S105, Regenerate the untrusted surface and determine the sharpness change of the untrusted surface, and choose to convert the untrusted surface into a trustworthy surface or retain it;

[0075] S106, Determine the diffusion range and effective grouting range in the grouting model diagram based on the reliable surface;

[0076] During the traversal, each time a transmitting electrode is replaced, all receiving electrodes are traversed.

[0077] Each data unit includes a feedback signal, a receiving signal transmitting electrode position associated with the feedback signal, and a receiving electrode position associated with the feedback signal.

[0078] In step S101, data acquisition is first performed using the transmitting and receiving electrodes. This is done by traversing the transmitting and receiving electrodes to generate data units. During the traversal, the transmitting electrode emits a detection signal, such as... Figure 3 As shown, after the receiving electrode receives the detection signal, it generates a feedback signal. At this time, it is necessary to traverse all the receiving electrodes every time a transmitting electrode is replaced during the traversal process.

[0079] For the generated data unit, each data unit is required to include a feedback signal, the position of the receiving signal transmitting electrode associated with the feedback signal, and the position of the receiving electrode associated with the feedback signal.

[0080] Next, in step S102, a data unit is used to generate a grouting model diagram and identify anomalies in the grouting model diagram. Here, anomalies refer to differences when comparing the ungrouted model diagram established before grouting with the grouting model diagram obtained in step S102. These differences arise from grouting and are collectively referred to as anomalies, such as... Figure 4 and Figure 5 As shown, Figure 4 The image shows grouting variations at a location, where the blue areas and the purple areas within the colored areas represent anomalous structures. Figure 5 It's a 3D display; you can... Figure 4 It is believed to be Figure 5 A slice.

[0081] In step S103, the abnormal body is divided into multiple abnormal individual bodies. Then, in step S104, the surface surrounding the abnormal individual body is analyzed based on the location of the abnormal individual body, and the surface is divided into a reliable surface and an unreliable surface.

[0082] The distinction between credible and uncredible surfaces is based on clarity. Clear data representing the generation of credible surfaces is based on collected data, while unclear data representing the generation of credible surfaces is mainly based on inference methods.

[0083] It should be noted that sensitivity drops sharply in deep regions far from the electrodes or at the far ends between two boreholes. The resistivity values ​​in these regions are more inferred from regularization assumptions (such as smoothness) than from actual "observations" in the data, which leads to significant uncertainty in the morphology and extent of anomalies in these areas.

[0084] In step S105, the untrusted surface is regenerated and the change in the sharpness of the untrusted surface is determined. The untrusted surface is then converted into a trustworthy surface or retained. In other words, the untrusted surface is processed by regeneration. If the sharpness meets the requirements, the untrusted surface is converted into a trustworthy surface; otherwise, the untrusted surface remains an untrusted surface.

[0085] Finally, in step S106, the diffusion range and effective grouting range in the grouting model diagram are determined based on the reliable surface. Here, the diffusion range refers to the influence range of the grouting process, and the effective grouting range refers to the range that meets the requirements after the grout solidifies.

[0086] These two data points can be used to evaluate the grouting effect, mainly examining whether the grout flows along the predetermined path and whether the reinforcement of the area after the grout solidifies meets the design requirements. Of course, these two dimensions are just examples, and the grouting effect can also be evaluated from other dimensions.

[0087] In some cases, the anomalous body is divided according to its extension direction, in which case each anomalous body needs to have only one extension direction.

[0088] It should be understood that grouting is the process of injecting grout into the fissures of the underground area using pressure. During the injection process, the grout diffuses from top to bottom and also spreads to the surrounding area. At the surface of the anomaly, a large number of anomalous individual particles will be formed. These anomalous individual particles are mostly conical in shape, exhibiting a shape that is narrow at the front and wide at the back.

[0089] In some cases, the analysis of the surfaces surrounding the anomalous individual is based on its location as follows:

[0090] S201, Determine the extension line and outer surface of the abnormal monomer. There are multiple outer surfaces of the monomer. The perpendicular line passing through the outer surface of the monomer intersects the extension line of the abnormal monomer.

[0091] S202, calculates the sharpness of the outer surface of each individual unit;

[0092] S203, based on the clarity of the outer surface of the monomer, the confidence level of the abnormal monomer is given. The confidence level of the abnormal monomer is the ratio of the outer surface of the monomer with the required clarity to the outer surface of all monomers.

[0093] In steps S201 to S203, the outer surface of the abnormal monomer is created based on the extension line of the abnormal monomer. There are multiple outer surfaces of the monomer. The perpendicular line through the outer surface of the monomer intersects with the extension line of the abnormal monomer. The outer surface of the monomer is the division of the outer surface of the abnormal monomer. The division method generally adopts the method of fixed projected area.

[0094] Please see Figure 6 The method for calculating the sharpness of the outer surface of a monomer is as follows:

[0095] Establish a vertical line perpendicular to the outer surface of the monomer and use the resistivity values ​​on the vertical line to establish an analytical reference line;

[0096] Determine the slope abrupt change region and the width of the slope abrupt change region on the analysis reference line;

[0097] The sharpness of the outer surface of a single unit is determined based on the width of the slope abrupt change region and the distribution of the width of the slope abrupt change region.

[0098] The analytical reference line is established with the horizontal axis representing the position of the resistivity value and the vertical axis representing the resistivity value. This analytical reference line reflects the change of the resistivity value in a direction that is close to or far from the outer surface of the monomer.

[0099] The slope changes in the abrupt change region on the analysis reference line have the following characteristics: the slope increases abruptly in the direction closer to the outer surface of the monomer, and decreases abruptly in the direction farther away from the outer surface of the monomer. The width of the abrupt change region refers to the distance between the starting and ending points of the slope change region.

[0100] Finally, the clarity of the outer surface of the monolith is determined based on the width and distribution of the slope abrupt change region. Specifically, the same process is performed on the surface of the anomalous body (not belonging to the anomalous monolith) to obtain some slope abrupt change region widths. Then, the average of these slope abrupt change region widths is calculated to obtain a reference value for the slope abrupt change region width. Finally, a range is determined based on the given calculation error (generally 2%-3%).

[0101] Next, using this range as a reference value, the width of the steep slope change region on the reference line should fall within this range or to the left of the range. The width distribution of the steep slope change region also needs to be considered here. If the data is reliable, the width distribution of the steep slope change region should conform to a Gaussian or discrete distribution. If the distribution is uniform, it indicates that the data is unreliable.

[0102] In some possible implementations, the sharpness of the anomalous monomer is also calculated, whereby the sharpness of the anomalous monomer is the ratio of its height on the corresponding extension line to its maximum area perpendicular to the corresponding extension line.

[0103] This ratio should also satisfy a Gaussian or discrete distribution. When the distribution is uniform, it means that the data is unreliable.

[0104] In some cases, the untrusted surface is regenerated in the following ways:

[0105] S301, determine the first data unit involved in generating the untrusted surface and the second data unit associated with generating the untrusted surface;

[0106] S302, select a second data unit that is similar to the generation path of the first data unit according to the generation path of the first data unit;

[0107] S303, Draw contour lines to divide the generation path of the first data unit and the generation path of the second data unit;

[0108] S304, replace the generation path parameter of the corresponding segmented first data unit with the generation path parameter of the segmented second data unit;

[0109] During the replacement process, the generation path parameters of the second data unit after the segmentation process also need to be corrected according to the length ratio.

[0110] In steps S301 to S304, the first data unit involved in generating the untrusted surface and the second data unit associated with generating the untrusted surface are first determined. The second data unit associated with generating the untrusted surface refers to the data unit that passes through the trusted surface adjacent to the untrusted surface.

[0111] Next, a second data unit that is close to the generation path of the first data unit is selected based on the generation path of the first data unit. This is because the closer the two are, the higher the probability that the data can be referenced. One selection method is to select based on the maximum distance and the maximum angle. The maximum distance and the maximum angle should be as small as possible within the selectable range.

[0112] Please see Figure 7 Next, contour lines are drawn to segment the generation paths of the first and second data units. Finally, the generation path parameters of the corresponding segmented first data unit are replaced with the generation path parameters of the segmented second data unit.

[0113] In this process, a traversal approach can be used to process the data, starting with replacing individual segments, then determining the replacement position based on the replacement result, and then increasing the number of segments at the replacement position until the clarity of the outer surface of the individual unit meets the requirements or the current optimal solution is obtained.

[0114] When replacing data, it is necessary to determine the replacement range of the generation path of the first data unit. The specific method for determining the replacement range of the generation path of the first data unit is as follows:

[0115] Identify the trustworthy surfaces adjacent to the untrustworthy surfaces;

[0116] Determine the generation path of the first data cell located below the adjacent trusted surface;

[0117] The generation path of the first data unit located below the adjacent trusted surface is replaced using the generation path of the corresponding second data unit.

[0118] The purpose of this approach is to make the most of the current first data unit, that is, to preserve the generation path of the first data unit located above the trusted surface, while replacing the generation path of the first data unit located below the trusted surface.

[0119] This approach has two advantages. First, it compresses the replacement range of the generation path of the first data unit, effectively reducing the amount of data processing and computational burden. Second, it can make full use of existing effective data, thereby improving the credibility of the final result.

[0120] The present invention also provides a grouting effect evaluation device based on continuous resistivity detection, comprising:

[0121] The first data processing unit is used to traverse the transmitting electrode and the receiving electrode and generate a data unit. During the traversal, the transmitting electrode emits a detection signal and the receiving electrode generates a feedback signal after receiving the detection signal.

[0122] The second data processing unit is used to generate a grouting model diagram using the data unit and to identify anomalies in the grouting model diagram;

[0123] The partitioning unit is used to divide the anomaly body into multiple individual anomalies;

[0124] The analysis processing unit is used to analyze the surfaces surrounding the anomalous entity based on the location of the anomalous entity, and divide the surfaces into reliable surfaces and unreliable surfaces.

[0125] The regeneration unit is used to regenerate untrusted surfaces and determine the sharpness changes of untrusted surfaces, choosing to convert untrusted surfaces into trusted surfaces or retain them;

[0126] The result output unit is used to determine the diffusion range and effective grouting range in the grouting model diagram based on the reliable surface.

[0127] During the traversal, each time a transmitting electrode is replaced, all receiving electrodes are traversed.

[0128] Each data unit includes a feedback signal, a receiving signal transmitting electrode position associated with the feedback signal, and a receiving electrode position associated with the feedback signal.

[0129] Furthermore, when dividing anomalies, the division is based on the direction of extension of the anomaly, with each individual anomaly having only one direction of extension.

[0130] Furthermore, the analysis of the surface surrounding the anomalous individual, based on its location, includes:

[0131] Determine the extension line and outer surface of the abnormal monomer. There are multiple outer surfaces of the monomer. The perpendicular line passing through the outer surface of the monomer intersects the extension line of the abnormal monomer.

[0132] Calculate the sharpness of the outer surface of each individual unit;

[0133] The confidence level of an anomalous monomer is given based on the clarity of its outer surface. The confidence level of an anomalous monomer is the ratio of the clarity of the outer surface of a monomer that meets the requirements to the total clarity of all monomer outer surfaces.

[0134] Furthermore, calculating the sharpness of the monomer's outer surface includes:

[0135] Establish a vertical line perpendicular to the outer surface of the monomer and use the resistivity values ​​on the vertical line to establish an analytical reference line;

[0136] Determine the slope abrupt change region and the width of the slope abrupt change region on the analysis reference line;

[0137] The sharpness of the outer surface of a single unit is determined based on the width of the slope abrupt change region and the distribution of the width of the slope abrupt change region.

[0138] Furthermore, it also includes calculating the sharpness of the abnormal monomer, which is the ratio of the height of the abnormal monomer on the corresponding extension line to the maximum area of ​​the abnormal monomer perpendicular to the corresponding extension line.

[0139] Furthermore, regenerating untrusted surfaces includes:

[0140] Determine the first data unit involved in generating the untrusted surface and the second data unit associated with generating the untrusted surface;

[0141] Select a second data unit whose generation path is similar to that of the first data unit;

[0142] Contour lines are drawn to divide the generation path of the first data unit and the generation path of the second data unit.

[0143] Replace the corresponding generated path parameter of the first data unit with the generated path parameter of the second data unit that has been segmented.

[0144] During the replacement process, the generation path parameters of the second data unit after the segmentation process also need to be corrected according to the length ratio.

[0145] Furthermore, during the replacement process, it is necessary to determine the replacement range of the generation path of the first data unit. Determining the replacement range of the generation path of the first data unit includes:

[0146] Identify the trustworthy surfaces adjacent to the untrustworthy surfaces;

[0147] Determine the generation path of the first data cell located below the adjacent trusted surface;

[0148] The generation path of the first data unit located below the adjacent trusted surface is replaced using the generation path of the corresponding second data unit.

[0149] In one example, the unit in any of the above devices may be one or more integrated circuits configured to implement the above methods, such as one or more application-specific integrated circuits (ASICs), or one or more digital signal processors (DSPs), or one or more field-programmable gate arrays (FPGAs), or a combination of at least two of these integrated circuit forms.

[0150] For example, when the units in the device can be implemented through a processing element scheduler, the processing element can be a general-purpose processor, such as a central processing unit (CPU) or other processor capable of calling programs. Alternatively, these units can be integrated together to form a system-on-a-chip (SOC).

[0151] In this invention, various objects such as messages / information / devices / network elements / systems / devices / actions / operations / processes / concepts may be named. It is understood that these specific names do not constitute a limitation on the relevant objects. The names may be changed depending on the scenario, context, or usage habits. The understanding of the technical meaning of the technical terms in this invention should be mainly determined from their functions and technical effects embodied / performed in the technical solution.

[0152] Those skilled in the art will understand that, for the sake of convenience and brevity, the specific working processes of the systems, devices, and units described above can be referred to the corresponding processes in the foregoing method embodiments, and will not be repeated here.

[0153] In the embodiments provided by this invention, it should be understood that the disclosed systems, apparatuses, and methods can be implemented in other ways. For example, the apparatus embodiments described above are merely illustrative; for instance, the division of units is only a logical functional division, and in actual implementation, there may be other division methods. For example, multiple units or components may be combined or integrated into another system, or some features may be ignored or not executed. Furthermore, the coupling or direct coupling or communication connection shown or discussed may be through some interfaces; the indirect coupling or communication connection between devices or units may be electrical, mechanical, or other forms.

[0154] The units described as separate components may or may not be physically separate. The components shown as units may or may not be physical units; that is, they may be located in one place or distributed across multiple network units. Some or all of the units can be selected to achieve the purpose of this embodiment according to actual needs.

[0155] Those skilled in the art will recognize that the units and algorithm steps of the various examples described in conjunction with the embodiments disclosed herein can be implemented in electronic hardware, or a combination of computer software and electronic hardware. Whether these functions are implemented in hardware or software depends on the specific application and design constraints of the technical solution. Those skilled in the art can use different methods to implement the described functions for each specific application, but such implementations should not be considered beyond the scope of this invention.

[0156] It should also be understood that in the various embodiments of the present invention, "first," "second," etc., are merely used to indicate that multiple objects are different. For example, a first time window and a second time window are only used to indicate different time windows, and should not have any effect on the time window itself. The aforementioned "first," "second," etc., should not impose any limitations on the embodiments of the present invention.

[0157] It should also be understood that, in the various embodiments of the present invention, unless otherwise specified or in case of logical conflict, the terminology and / or descriptions between different embodiments are consistent and can be referenced by each other, and the technical features in different embodiments can be combined to form new embodiments according to their inherent logical relationships.

[0158] If the aforementioned functions are implemented as software functional units and sold or used as independent products, they can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the present invention, or the part that contributes to the prior art, or a portion of the technical solution, can be embodied in the form of a software product. This computer software product is stored in a computer-readable storage medium and includes several instructions to cause a computer device (which may be a personal computer, server, or network device, etc.) to execute all or part of the steps of the methods described in the various embodiments of the present invention. The aforementioned computer-readable storage medium includes various media capable of storing program code, such as USB flash drives, portable hard drives, read-only memory (ROM), random access memory (RAM), magnetic disks, or optical disks.

[0159] The present invention also provides a grouting effect evaluation system based on continuous resistivity detection, the system comprising:

[0160] One or more memories for storing instructions; and

[0161] One or more processors are configured to retrieve and execute the instructions from the memory, performing the methods described above.

[0162] The present invention also provides a computer program product including instructions that, when executed, cause the terminal device and the network device to perform operations corresponding to the methods described above.

[0163] The present invention also provides a chip system including a processor for implementing the functions involved in the above description, such as generating, receiving, transmitting, or processing the data and / or information involved in the above methods.

[0164] This chip system can consist of chips or include chips and other discrete components.

[0165] The processor mentioned above can be a CPU, a microprocessor, an ASIC, or one or more integrated circuits that execute a program to control the method of transmitting the feedback information described above.

[0166] In one possible design, the chip system also includes a memory for storing necessary program instructions and data. The processor and the memory can be decoupled and located on different devices, connected via wired or wireless means to support the chip system in implementing the various functions described in the above embodiments. Alternatively, the processor and the memory can also be coupled to the same device.

[0167] Optionally, the computer instructions are stored in memory.

[0168] Optionally, the memory can be a storage unit within the chip, such as a register or cache. Alternatively, the memory can be a storage unit located outside the chip within the terminal, such as a ROM or other types of static storage devices that can store static information and instructions, such as RAM.

[0169] It is understood that the memory in this invention can be volatile memory or non-volatile memory, or may include both volatile and non-volatile memory.

[0170] Non-volatile memory can be ROM, programmable read-only memory (PROM), erasable programmable read-only memory (EPROM), electrically erasable programmable read-only memory (EEPROM), or flash memory.

[0171] Volatile memory can be RAM, which is used as an external cache. There are many different types of RAM, such as static random access memory (SRAM), dynamic random access memory (DRAM), synchronous dynamic random access memory (SDRAM), double data rate synchronous dynamic random access memory (DDR SDRAM), enhanced synchronous dynamic random access memory (ESDRAM), synchronous link dynamic random access memory (SLDRAM), and direct memory bus random access memory.

[0172] The embodiments described herein are preferred embodiments of the present invention and are not intended to limit the scope of protection of the present invention. Therefore, all equivalent changes made in accordance with the structure, shape, and principle of the present invention should be covered within the scope of protection of the present invention.

Claims

1. A method for evaluating grouting effect based on continuous resistivity detection, characterized in that, include: The transmitting and receiving electrodes are traversed to generate data units. During the traversal, the transmitting electrode emits a detection signal, and the receiving electrode generates a feedback signal after receiving the detection signal. Use data units to generate grouting model diagrams and identify anomalies in the grouting model diagrams; The anomalous body is divided into multiple individual anomalous bodies; Based on the location of the anomalous individual, the surfaces surrounding the anomalous individual are analyzed, and the surfaces are divided into credible surfaces and uncredible surfaces. Regenerate the untrusted surface and determine the clarity change of the untrusted surface, then choose to convert the untrusted surface into a trustworthy surface or retain it; The diffusion range and effective grouting range in the grouting model diagram are determined based on the reliable surface. During the traversal, each time a transmitting electrode is replaced, all receiving electrodes are traversed. Each data unit includes a feedback signal, a receiving signal transmitting electrode position associated with the feedback signal, and a receiving electrode position associated with the feedback signal.

2. The grouting effect evaluation method based on continuous resistivity detection according to claim 1, characterized in that, When dividing anomalies, the division is based on the direction of extension of the anomaly, and a single anomaly has only one direction of extension.

3. The grouting effect evaluation method based on continuous resistivity detection according to claim 1 or 2, characterized in that, The analysis of the surfaces surrounding the anomalous individual, based on its location, includes: Determine the extension line and outer surface of the abnormal monomer. There are multiple outer surfaces of the monomer. The perpendicular line passing through the outer surface of the monomer intersects the extension line of the abnormal monomer. Calculate the sharpness of the outer surface of each individual unit; The confidence level of an anomalous monomer is given based on the clarity of its outer surface. The confidence level of an anomalous monomer is the ratio of the clarity of the outer surface of a monomer that meets the requirements to the total clarity of all monomer outer surfaces.

4. The grouting effect evaluation method based on continuous resistivity detection according to claim 3, characterized in that, The calculation of the sharpness of the monomer's outer surface includes: Establish a vertical line perpendicular to the outer surface of the monomer and use the resistivity values ​​on the vertical line to establish an analytical reference line; Determine the slope abrupt change region and the width of the slope abrupt change region on the analysis reference line; The sharpness of the outer surface of a single unit is determined based on the width of the slope abrupt change region and the distribution of the width of the slope abrupt change region.

5. The grouting effect evaluation method based on continuous resistivity detection according to claim 3, characterized in that, It also includes calculating the sharpness of the abnormal monomer, which is the ratio of the height of the abnormal monomer on the corresponding extension line to the maximum area of ​​the abnormal monomer perpendicular to the corresponding extension line.

6. The grouting effect evaluation method based on continuous resistivity detection according to claim 1, characterized in that, Regenerating untrusted surfaces includes: Determine the first data unit involved in generating the untrusted surface and the second data unit associated with generating the untrusted surface; Select a second data unit whose generation path is similar to that of the first data unit; Contour lines are drawn to divide the generation path of the first data unit and the generation path of the second data unit. Replace the corresponding generated path parameter of the first data unit with the generated path parameter of the second data unit that has been segmented. During the replacement process, the generation path parameters of the second data unit after the segmentation process also need to be corrected according to the length ratio.

7. The grouting effect evaluation method based on continuous resistivity detection according to claim 6, characterized in that, During replacement, it is necessary to determine the replacement range of the generation path of the first data unit. Determining the replacement range of the generation path of the first data unit includes: Identify the trustworthy surfaces adjacent to the untrustworthy surfaces; Determine the generation path of the first data cell located below the adjacent trusted surface; The generation path of the first data unit located below the adjacent trusted surface is replaced using the generation path of the corresponding second data unit.

8. A grouting effect evaluation device based on continuous resistivity detection, characterized in that, include: The first data processing unit is used to traverse the transmitting electrode and the receiving electrode and generate a data unit. During the traversal, the transmitting electrode emits a detection signal and the receiving electrode generates a feedback signal after receiving the detection signal. The second data processing unit is used to generate a grouting model diagram using the data unit and to identify anomalies in the grouting model diagram; The partitioning unit is used to divide the anomaly body into multiple individual anomalies; The analysis processing unit is used to analyze the surfaces surrounding the anomalous entity based on the location of the anomalous entity, and divide the surfaces into reliable surfaces and unreliable surfaces. The regeneration unit is used to regenerate untrusted surfaces and determine the sharpness changes of untrusted surfaces, choosing to convert untrusted surfaces into trusted surfaces or retain them; The result output unit is used to determine the diffusion range and effective grouting range in the grouting model diagram based on the reliable surface. During the traversal, each time a transmitting electrode is replaced, all receiving electrodes are traversed. Each data unit includes a feedback signal, a receiving signal transmitting electrode position associated with the feedback signal, and a receiving electrode position associated with the feedback signal.

9. A grouting effect evaluation system based on continuous resistivity detection, characterized in that, The system includes: One or more memories for storing instructions; and One or more processors are configured to retrieve and execute the instructions from the memory to perform the method as described in any one of claims 1 to 7.

10. A computer-readable storage medium, characterized in that, The computer-readable storage medium includes: The program, when run by the processor, executes the method as described in any one of claims 1 to 7.

Images