A method and system for controlling the underground injection process of cement slurry

Abstract

This application provides a control method and system for the underground injection of cement grout. The method involves: acquiring historical diffusion distance data; extracting grouting boundary violation records from the historical diffusion distance data, and then determining the boundary violation fluctuation index of the cement grout during injection based on these records; acquiring historical grouting flow rate data, further determining the flow rate safety range for each cement grout control node, and determining the flow rate adjustment weight for each cement grout control node in the boundary violation state based on each flow rate safety range and the boundary violation fluctuation index; further extracting diffusion deviation records from the ground grouting station, and then determining the maximum allowable deviation of the ground grouting station during cement grout injection; determining the grouting adjustment amount of the diffusion distance based on all flow rate adjustment weights and the maximum allowable deviation; constraining and adjusting the diffusion distance of each cement grout control node in the ground grouting station based on the grouting adjustment amount; and achieving adaptive adjustment of the diffusion distance.

Description

Technical Field

[0001] This application relates to the field of cement grout technology, and more specifically, to a control method and system for the underground injection process of cement grout. Background Technology

[0002] In the field of geotechnical grouting technology, effectively controlling the underground diffusion behavior of grout has long been a core challenge. The diffusion range of the grout directly determines the final quality, safety, reliability, and economic cost of the project. For example:

[0003] In foundation engineering construction, grouting after precast pipe piles is often performed at the pile tip or side to improve the bearing capacity. The grouting volume (directly related to the diffusion volume) is a key determinant of bearing capacity. Insufficient diffusion (too little grout) fails to form an effective solidified body, potentially causing the pile foundation's bearing capacity to fall short of design requirements and posing a serious safety hazard. Excessive diffusion (grouting volume far exceeding design specifications) provides negligible improvement in bearing capacity, but results in 100% waste of cement and other materials, directly eroding project profits. The control objective here is to achieve precise material input while meeting design safety thresholds.

[0004] In underground space development, during tunnel boring machine (TBM) construction, grouting is performed behind tunnel segments. After the TBM advances, gaps exist between the segments and the soil layer, requiring immediate grouting to stabilize the ground. Insufficient grout diffusion leads to incomplete filling, uneven stress on the tunnel segments, and a high risk of segment cracking, misalignment, and subsequent water leakage, threatening the long-term safety of the tunnel. Excessive grout diffusion, on the other hand, can cause the high-pressure grout to fracture the surrounding soil, disturbing nearby existing subway tunnels, pipelines, building foundations, and triggering unforeseen engineering risks. Therefore, the key to control here is ensuring the density and uniformity of the filling, and strictly controlling the impact area within a safe zone.

[0005] In the field of environmental remediation, the goal of in-situ barrier curtain construction at contaminated sites is to build a vertical underground continuous wall to prevent the migration of pollutants. Insufficient grout diffusion can lead to weak points or even gaps in the curtain, allowing pollutants to easily penetrate the barrier and rendering the costly barrier project completely ineffective, posing a significant environmental risk. Conversely, excessive grout diffusion, while potentially creating a thicker wall, drastically increases the amount of expensive grout (often using special cement or bentonite grout), resulting in unnecessary economic waste. Precise control here is crucial to ensure the continuity and integrity of the barrier while avoiding material waste.

[0006] In the application of large-scale underground drip irrigation systems in agricultural water-saving irrigation, after the drip irrigation tape is buried underground, grout needs to be injected around it to seal the gaps between the pipe wall and the soil. If the grout spreads excessively, it will needlessly fill a large amount of surrounding soil, resulting in a significant waste of expensive grout materials (even using low-cost materials, the total cost is extremely high on a scale of tens of thousands of acres of fertile land), significantly increasing project costs. Conversely, if the grout spreads insufficiently, the seal will be incomplete, and irrigation water will preferentially flow from the gaps in the outer wall of the pipe where resistance is lower, rather than seeping evenly from the designed drip holes. This will directly lead to uneven irrigation of crops, with some areas being overly wet and others dry, seriously affecting water-saving effects and crop yields. Therefore, the core purpose of precisely controlling this process is to optimize material costs to the extreme while ensuring the sealing function.

[0007] However, existing grouting control technologies often rely on experience-based judgment or simple constant parameter control, making it difficult to achieve precise management of the diffusion range. Current technology lacks an intelligent method that can predict and adaptively adjust the grouting diffusion range based on historical data and real-time parameters. This makes it difficult to achieve optimal control of material usage while ensuring project quality in batch, standardized operation scenarios. Summary of the Invention

[0008] This application provides a method and system for controlling the underground injection process of cement grout, which can adaptively adjust the diffusion distance of the grouting station when it exceeds the boundary.

[0009] In a first aspect, this application provides a method for controlling the underground injection process of cement grout, comprising the following steps:

[0010] During cement grout injection, the diffusion distance record of each cement grout control node in the ground grouting station is obtained, thereby obtaining historical diffusion distance data;

[0011] By extracting grouting boundary violation records of cement grout during grouting from the historical diffusion distance data using a preset grouting boundary violation threshold, the boundary violation fluctuation index of cement grout during grouting is determined based on the grouting boundary violation records.

[0012] The grouting flow rate record of the ground grouting station during cement grout injection is obtained to obtain historical grouting flow rate data. The flow rate safety range of each cement grout control node during cement grout injection is determined by the historical grouting flow rate data. Then, the flow rate adjustment weight of each cement grout control node in the out-of-bounds state is determined according to each flow rate safety range and the out-of-bounds fluctuation index.

[0013] Extract diffusion deviation records of ground grouting stations from the historical diffusion distance data, and then determine the maximum allowable deviation of ground grouting stations during cement grout injection based on the diffusion deviation records. Determine the grouting adjustment amount of diffusion distance by using all flow rate adjustment weights and the maximum allowable deviation.

[0014] During cement grouting, the diffusion distance of each cement grout control node in the ground grouting station is constrained and adjusted based on the grouting adjustment amount.

[0015] In some embodiments, determining the boundary fluctuation index of cement grout during grouting based on the grout boundary violation record specifically includes:

[0016] The boundary-crossing fluctuation sequence of cement grout during grouting at the ground grouting station is determined based on the grouting boundary crossing record.

[0017] Initialize the boundary state model;

[0018] Based on the boundary state model, the boundary fluctuation index of cement grout during grouting is extracted from the boundary fluctuation sequence.

[0019] In some embodiments, determining the safe flow range of each cement grout control node during grouting using the historical grouting flow data specifically includes:

[0020] Extract the grouting flow difference sequence of the ground grouting station from the historical grouting flow data;

[0021] The grout flow distribution at each cement grout control node is determined based on the historical grout flow data.

[0022] Select a grouting flow rate distribution;

[0023] The upper bound of the flow distribution of the cement slurry control node corresponding to the grout flow distribution is determined based on the grout flow distribution and the grout flow difference sequence.

[0024] The lower bound of the flow distribution of the cement slurry control node corresponding to the grout flow distribution is determined by the grout flow distribution and the grout flow difference sequence.

[0025] Therefore, the interval formed by the upper boundary of the flow distribution and the lower boundary of the flow distribution is taken as the safe flow range of the cement slurry control node corresponding to the grouting flow distribution.

[0026] Repeat the above steps to obtain the safe flow range of the cement slurry control node corresponding to the remaining grouting flow distribution.

[0027] In some embodiments, determining the flow adjustment weight of each cement grout control node in the out-of-bounds state during cement grouting based on each flow safety interval and the out-of-bounds fluctuation index specifically includes:

[0028] Determine the dynamic adjustment amount of the cement slurry control node corresponding to each flow safety interval;

[0029] The flow adjustment weight of each cement grout control node in the out-of-bounds state is determined based on the out-of-bounds fluctuation index and all flow dynamic adjustment amounts.

[0030] In some embodiments, determining the maximum permissible deviation of the ground grouting station during cement grouting based on the diffusion deviation record specifically includes:

[0031] Linear fitting is performed on each diffusion deviation value sequence in the diffusion deviation record to obtain multiple diffusion deviation value fitting curves;

[0032] Determine the range of the diffusion derivative of the fitted curve for each diffusion deviation value;

[0033] The maximum permissible deviation of the ground grouting station during cement grouting is determined based on the range of all diffusion derivatives.

[0034] In some embodiments, determining the grouting adjustment amount for the diffusion distance by using all flow rate adjustment weights and the maximum permissible deviation specifically includes:

[0035] The out-of-bounds correction range for the ground grouting station is determined based on all flow regulation weights;

[0036] The grouting adjustment amount for the diffusion distance is determined by the out-of-bounds correction range and the maximum permissible deviation.

[0037] In some embodiments, constraining and adjusting the diffusion distance of each cement slurry control node in the ground grouting station based on the grouting adjustment amount specifically includes:

[0038] The constraint coefficients of each cement slurry control node in the ground grouting station are determined based on the pre-trained constraint model and the grouting adjustment amount.

[0039] The diffusion distance of each cement slurry control node in the ground grouting station is adjusted using all constraint coefficients.

[0040] Secondly, this application provides a control system for an underground cement slurry injection process, comprising:

[0041] The acquisition module is used to acquire the diffusion distance record of each cement grout control node in the ground grouting station during cement grout injection, and then obtain historical diffusion distance data.

[0042] The processing module is used to extract grouting boundary violation records when grouting cement slurry is injected from the historical diffusion distance data through a preset grouting boundary violation threshold, and to determine the boundary violation fluctuation index of cement slurry during grouting based on the grouting boundary violation records.

[0043] The processing module is also used to acquire the grouting flow record of the ground grouting station when injecting cement grout, obtain historical grouting flow data, determine the flow safety range of each cement grout control node when injecting cement grout through the historical grouting flow data, and then determine the flow adjustment weight of each cement grout control node in the out-of-bounds state when injecting cement grout based on each flow safety range and the out-of-bounds fluctuation index.

[0044] The processing module is also used to extract diffusion deviation records of the ground grouting station from the historical diffusion distance data, and then determine the maximum allowable deviation of the ground grouting station when injecting cement slurry based on the diffusion deviation records, and determine the grouting adjustment amount of diffusion distance through all flow adjustment weights and the maximum allowable deviation;

[0045] The execution module is used to constrain and adjust the diffusion distance of each cement slurry control node in the ground grouting station based on the grouting adjustment amount during cement slurry injection.

[0046] Thirdly, this application provides a computer device including a memory and a processor, the memory storing code, and the processor being configured to acquire the code and execute the control method for the underground injection process of cement slurry described above.

[0047] Fourthly, this application provides a computer-readable storage medium storing a computer program that, when executed by a processor, implements the control method for the underground injection process of cement slurry described above.

[0048] The technical solutions provided by the embodiments disclosed in this application have the following beneficial effects:

[0049] The control method and system for underground cement grout injection provided in this application acquires the diffusion distance record of each cement grout control node in the ground grouting station during cement grout injection, thereby obtaining historical diffusion distance data; extracts grouting boundary violation records during cement grout injection from the historical diffusion distance data using a preset grouting boundary violation threshold, and determines the boundary violation fluctuation index of cement grout during grouting based on the grouting boundary violation records; acquires the grouting flow rate record of the ground grouting station during cement grout injection, obtaining historical grouting flow rate data, and determines the cement grout control node for each cement grout during cement grout injection based on the historical grouting flow rate data. The flow safety range of the point is determined, and then the flow adjustment weight of each cement grout control node in the out-of-bounds state is determined according to each flow safety range and the out-of-bounds fluctuation index. The diffusion deviation record of the ground grouting station is extracted from the historical diffusion distance data, and then the maximum allowable deviation of the ground grouting station during cement grouting is determined according to the diffusion deviation record. The grouting adjustment amount of the diffusion distance is determined by all the flow adjustment weights and the maximum allowable deviation. During cement grouting, the diffusion distance of each cement grout control node in the ground grouting station is constrained and adjusted based on the grouting adjustment amount.

[0050] Therefore, in this application, the grouting adjustment amount for determining the diffusion distance can be determined by all flow adjustment weights and the maximum permissible deviation. During cement grouting, the diffusion distance of each cement grout control node in the ground grouting station is constrained and adjusted based on the grouting adjustment amount. Specifically, firstly, the flow adjustment weights used to measure the stability of the cement grout flow distribution under the boundary condition are extracted from each flow safety interval using the boundary fluctuation index, which measures the uncertainty of the boundary condition during cement grouting. Secondly, the diffusion deviation of the ground grouting station during cement grouting is quantified according to the diffusion deviation record to obtain the maximum permissible deviation describing the maximum allowable deviation range between the actual diffusion distance and the target diffusion distance. Finally, the diffusion distance of each cement grout control node in the ground grouting station is constrained and adjusted based on the grouting adjustment amount. In summary, the solution of this application can achieve adaptive adjustment of the diffusion distance of the grouting station under the boundary condition, thereby improving the stability of the grouting boundary of the grouting station. Attached Figure Description

[0051] Figure 1 This is an exemplary flowchart of a control method for an underground cement slurry injection process according to some embodiments of this application;

[0052] Figure 2 This is a flowchart illustrating the process of determining the out-of-bounds fluctuation index in some embodiments of this application;

[0053] Figure 3 This is a flowchart illustrating the process of determining the maximum permissible deviation in some embodiments of this application;

[0054] Figure 4 This is a structural block diagram of the control system for the underground injection process of cement slurry in some embodiments of this application;

[0055] Figure 5 This is a schematic diagram of the structure of a computer device for implementing a control method for the underground injection process of cement slurry according to some embodiments of this application. Detailed Implementation

[0056] The core of this application is to acquire the diffusion distance records of each cement grout control node in the ground grouting station during cement grout injection, thereby obtaining historical diffusion distance data; extract grouting boundary violation records during cement grout injection from the historical diffusion distance data using a preset grouting boundary violation threshold, and determine the boundary violation fluctuation index of cement grout during grouting based on the grouting boundary violation records; acquire the grouting flow rate records of the ground grouting station during cement grout injection, obtain historical grouting flow rate data, and determine the flow rate safety range of each cement grout control node during cement grout injection based on the historical grouting flow rate data. The flow adjustment weight of each cement grout control node in the out-of-bounds state during cement grouting is determined based on each flow safety range and the out-of-bounds fluctuation index. Diffusion deviation records of the ground grouting station are extracted from the historical diffusion distance data, and the maximum allowable deviation of the ground grouting station during cement grouting is determined based on these records. The grouting adjustment amount for the diffusion distance is determined using all flow adjustment weights and the maximum allowable deviation. During cement grouting, the diffusion distance of each cement grout control node in the ground grouting station is constrained and adjusted based on the grouting adjustment amount. The solution of this application can adaptively adjust the diffusion distance of the grouting station in the out-of-bounds state, thereby improving the stability of the grouting boundary of the grouting station.

[0057] To better understand the above technical solutions, a detailed description of the solutions will be provided below in conjunction with the accompanying drawings and specific implementation methods. (Reference) Figure 1 The figure is an exemplary flowchart of a method for controlling an underground cement slurry injection process according to some embodiments of this application. The method 100 for controlling an underground cement slurry injection process mainly includes the following steps:

[0058] In step 101, the diffusion distance record of each cement grout control node in the ground grouting station is obtained during cement grout injection, thereby obtaining historical diffusion distance data.

[0059] It should be noted that the "cement grout injection process" in this application refers to the operation method of pumping grout into the soil and rock mass under pressure to fill cracks, reinforce the strata, and seal leaks. The grouting station has multiple cement grout control nodes, which are key components that can control parameters such as cement grout flow rate, grouting pressure, and grouting time during the grouting process. The ground grouting station monitors and records the diffusion distance of each cement grout control node. In practice, this can be designed according to different scenarios (such as grouting after precast pipe piles, grouting behind shield tunnel segments, etc.). For example, for any cement grout control node, the diffusion volume of the grout is directly quantitatively related to the cumulative grouting volume. Based on the grouting purpose... The design shape of the target body (such as a spherical shape at the pile end, a ring shape behind the pipe segment, a columnar shape for a curtain, or a ring shape for a drip irrigation tape) can establish a geometric model of its diffusion volume and characteristic diffusion distance (such as radius, thickness, or other parameters). The ground grouting station monitors and records the cumulative grouting volume of each node in real time. During the grouting process, based on the above geometric model, the theoretical diffusion distance corresponding to the current cumulative grouting volume is calculated in real time using the corresponding inverse function. Given the application scenarios described in the background art, the shape and spatial range of the grouting target body are usually known or designable. Therefore, the "diffusion distance" mentioned in this application can be a key process control parameter calculated by inversion from the real-time grouting volume based on a theoretical diffusion model.

[0060] In some embodiments, the diffusion distance may also be a key parameter that can characterize the diffusion range of the grout and is available in a particular grouting application.

[0061] The "diffusion distance" mentioned in this application is a technical feature characterizing the spatial distribution range of slurry, and its specific meaning and acquisition method vary depending on the application scenario:

[0062] For example, in the scenario of grouting after precast pipe piles, the diffusion distance can also be related to the theoretical calculation value. Specifically, based on the classic spherical or columnar diffusion theory model, using the real-time collected grouting pressure and cumulative grouting volume as the core input parameters, combined with the formation permeability coefficient and grout viscosity obtained from the geological survey report, the theoretical diffusion radius of the grout can be calculated in real time. This calculated value can be used as the diffusion distance in this scenario to determine whether the grout body has reached the reinforcement range required by the design.

[0063] In the scenario of grouting behind tunnel shield segments, the diffusion distance can be correlated with a comprehensive judgment of grouting pressure and grouting volume. Since the volume of the void behind the segment is calculable, the primary goal of grouting is to accurately fill the void. Therefore, the percentage of the cumulative grouting volume relative to the theoretical void volume can serve as a key equivalent diffusion indicator. Simultaneously, changes in grouting pressure directly reflect whether the grout has filled the void densely or whether it has begun to fracture into distant strata. In this scenario, the grouting volume corresponding to the characteristic points (such as pressure inflection points) of the grouting pressure-grouting volume curve can be converted into an equivalent diffusion distance characterizing the fullness of the filling.

[0064] In the scenario of in-situ barrier curtain construction at contaminated sites, the diffusion distance can be correlated with an inferred value based on sequential grouting. This scenario typically involves drilling and grouting sequentially. The grouting pressure and volume data of the current sequential grouting hole can be used to infer the vertical diffusion radius of the grout, thereby optimizing the hole spacing and row spacing of adjacent subsequent grouting holes to ensure the continuity of the curtain overlap. Here, the diffusion distance is an optimized control value inferred from historical grouting data to guide subsequent construction.

[0065] In the scenario of grouting for sealing underground drip irrigation tapes in agriculture, the diffusion distance can be correlated with a model estimate based on fluid-structure interaction. The objective of this scenario is clear: to seal the annular void between the drip irrigation tape and the soil. A simplified grouting volume-diffusion model can be established based on the theoretical volume of the annular void and the soil porosity. By monitoring the grouting volume in real time, the equivalent diffusion distance of the grout in the annular void and surrounding soil can be estimated, thereby determining whether the sealing is complete and whether excessive waste has occurred.

[0066] The average diffusion distance of the cement slurry control node within 30 seconds during the operation of the ground grouting station can be used as the diffusion distance value at the midpoint of the corresponding 30-second interval. The set of all diffusion distance values ​​obtained after three days of operation of the grouting station can be used as the diffusion distance record of the cement slurry control node. The diffusion distance record of each cement slurry control node can be obtained through the above method, and then the set of all diffusion distance records can be used as historical diffusion distance data.

[0067] In step 102, grouting boundary violation records are extracted from the historical diffusion distance data using a preset grouting boundary violation threshold, and the boundary violation fluctuation index of the cement grout during grouting is determined based on the grouting boundary violation records.

[0068] It should be noted that the grouting boundary threshold mentioned in this application represents the tolerance limit for cement grout exceeding a predetermined range during the grouting process, and is used to determine whether the cement grouting has exceeded the allowable range. When the diffusion distance of the cement grout control node of the grouting station exceeds the preset grouting boundary threshold, it is called grouting boundary violation. In specific implementation, the grouting boundary threshold can be preset according to the specific construction conditions, which can ensure that the cement grout is only grouted within the predetermined area under the current construction conditions, thus avoiding the situation where the cement grouting exceeds the predetermined range.

[0069] In some embodiments, extracting grouting boundary violation records when injecting grout into the historical diffusion distance data using a preset grouting boundary violation threshold can be achieved through the following steps:

[0070] Obtain all diffusion distance values ​​for each diffusion distance record from the historical diffusion distance data;

[0071] All diffusion distance values ​​exceeding the preset grouting boundary threshold are considered as grouting boundary values;

[0072] The grouting boundary violation record is determined based on all grouting boundary violation values ​​when injecting cement grout.

[0073] In practice, the grouting boundary record for determining the grouting cement grout during grouting can be achieved by the following method based on all grouting boundary values: Select a grouting boundary value, combine the grouting boundary value and the recording time of the grouting boundary value in the diffusion distance record into a data group, and use the obtained data group as the grouting boundary data group for that grouting boundary value. Repeat the above steps to obtain the grouting boundary data groups for the remaining grouting boundary values, and use the set of all grouting boundary data groups as the grouting boundary record for grouting cement grout.

[0074] In some embodiments, reference Figure 2 As shown in the figure, this is a flowchart illustrating the process of determining the boundary fluctuation index in some embodiments of this application. In this embodiment, the determination of the boundary fluctuation index of the cement grout during grouting based on the grout boundary violation record can be achieved using the following steps:

[0075] First, in step 1021, the boundary-crossing fluctuation sequence of cement grout during grouting at the ground grouting station is determined based on the grouting boundary crossing record;

[0076] Secondly, in step 1022, the boundary state model is initialized;

[0077] Then, in step 1023, the boundary fluctuation index of the cement grout during grouting is extracted from the boundary fluctuation sequence based on the boundary state model.

[0078] In specific implementation, the determination of the boundary fluctuation sequence of cement grout during grouting at the ground grouting station based on the grouting boundary violation record can be achieved in the following way: First, select the largest and smallest grouting boundary violation values ​​from all grouting boundary violation data groups in the grouting boundary violation record, and take the average of the two as the fluctuation boundary equilibrium value. Then, subtract the fluctuation boundary equilibrium value from the grouting boundary violation value of all grouting boundary violation data groups, and take the value obtained after subtraction as the boundary fluctuation value. Finally, sort all the boundary fluctuation values ​​in ascending order, and take the sorted sequence as the boundary fluctuation sequence of cement grout during grouting at the ground grouting station. Other methods can also be used in other embodiments, which are not limited here.

[0079] It should be noted that the boundary state model can be initialized using a Hidden Markov Model in this application. The model is initialized, including the initialization of the state set, observation set, initial probability matrix and state transition matrix. The model is trained using the expectation-maximization algorithm. During the training process, the model parameters are updated by maximizing the likelihood function of the observation set. The model after training is used as the boundary state model.

[0080] In specific implementation, the extraction of the boundary fluctuation index of cement grout during grouting from the boundary fluctuation sequence based on the boundary state model can be achieved in the following way: First, the boundary state model is used to perform state inference on the boundary fluctuation sequence, and the probability distribution of each boundary state at each moment is calculated. These probability distributions reflect the possibility of boundary crossing at each moment. Then, the probability distribution of each boundary state is calculated using the information entropy formula, and the calculated value is used as the boundary fluctuation index of cement grout during grouting. Other methods can also be used in other embodiments, which will not be elaborated here.

[0081] It should be noted that the boundary fluctuation index mentioned in this application represents a measure of the uncertainty of the distribution of the boundary state of the cement grout diffusion distance during the grouting process. The boundary fluctuation index is used to evaluate the stability of the cement grout grouting process. When the boundary fluctuation index is low, it indicates that the change of the boundary state is relatively stable and the grouting process is more reliable. However, when the boundary fluctuation index is high, it may mean that there is a large uncertainty in the grouting process, which requires further optimization or adjustment.

[0082] In step 103, the grouting flow rate record of the ground grouting station during cement grout injection is obtained to obtain historical grouting flow rate data. The flow rate safety range of each cement grout control node during cement grout injection is determined by the historical grouting flow rate data. Then, the flow rate adjustment weight of each cement grout control node in the out-of-bounds state is determined according to each flow rate safety range and the out-of-bounds fluctuation index.

[0083] In practice, the average grouting flow rate of the cement grout control node within 30 seconds during the operation of the ground grouting station can be used as the grouting flow rate value at the midpoint of the corresponding 30 seconds. Then, the set of all grouting flow rate values ​​obtained by the ground grouting station over three days can be used as the grouting flow rate record of the cement grout control node. In this way, the grouting flow rate record of each cement grout control node can be obtained, and then the set of all grouting flow rate records can be used as historical grouting flow rate data.

[0084] In some embodiments, determining the safe flow range of each cement grout control node during grouting using the historical grouting flow data can be achieved through the following steps:

[0085] Extract the grouting flow difference sequence of the ground grouting station from the historical grouting flow data;

[0086] The grout flow distribution at each cement grout control node is determined based on the historical grout flow data.

[0087] Select a grouting flow rate distribution;

[0088] The upper bound of the flow distribution of the cement slurry control node corresponding to the grout flow distribution is determined based on the grout flow distribution and the grout flow difference sequence.

[0089] The lower bound of the flow distribution of the cement slurry control node corresponding to the grout flow distribution is determined by the grout flow distribution and the grout flow difference sequence.

[0090] Therefore, the interval formed by the upper boundary of the flow distribution and the lower boundary of the flow distribution is taken as the safe flow range of the cement slurry control node corresponding to the grouting flow distribution.

[0091] Repeat the above steps to obtain the safe flow range of the cement slurry control node corresponding to the remaining grouting flow distribution.

[0092] In specific implementation, the extraction of the grouting flow difference sequence of the ground grouting station from the historical grouting flow data can be achieved in the following way: sort all the grouting flow values ​​in the historical grouting flow data in ascending order, then perform a difference operation on the sorted sequence, and use the sequence obtained after the difference operation as the grouting flow difference sequence of the ground grouting station, and use each value in the grouting flow difference sequence as the grouting flow difference value. Other methods can also be used in other embodiments, which are not limited here.

[0093] In specific implementation, the grouting flow distribution of each cement grout control node can be determined based on the historical grouting flow data in the following manner: First, select a grouting flow record from the historical grouting flow data and use this grouting flow record to fit a normal distribution model. By continuously adjusting the goodness-of-fit index (e.g., goodness-of-fit, root mean square error, etc.), determine the degree of fit of the normal distribution model to the grouting flow record. Second, extract the mean and standard deviation from the fitted normal distribution model. Divide the obtained mean by the standard deviation and use the value as the grouting flow distribution of the cement grout control node corresponding to the grouting flow record. Finally, repeat the above steps to obtain the grouting flow distribution of the remaining grouting flow records corresponding to the cement grout control nodes. Other methods can also be used in other embodiments, which will not be elaborated here.

[0094] It should be noted that the grouting flow distribution mentioned in this application refers to a parameter that measures the concentration of the flow distribution in the grouting area of ​​the cement grout control node of the ground grouting station during the cement grouting process.

[0095] In specific implementation, determining the upper bound of the flow distribution of the cement grout control node corresponding to the grout flow distribution based on the grout flow distribution and the grout flow difference sequence can be achieved in the following way: First, calculate the mean of all grout flow values ​​in the grout flow records of the cement grout control node corresponding to the grout flow distribution, and use the obtained mean as the grout flow equilibrium value. Second, calculate the standard deviation of the grout flow difference sequence, and use the obtained standard deviation as the flow difference standard deviation. Then, add the grout flow equilibrium value to the grout flow distribution and the flow difference standard deviation. The product of the grouting flow distribution and the sum of the values ​​is taken as the upper bound of the flow distribution of the cement grout control node corresponding to the grouting flow distribution. The lower bound of the flow distribution of the cement grout control node corresponding to the grouting flow distribution can be determined by subtracting the product of the grouting flow distribution and the standard deviation of the flow difference from the grouting flow equilibrium value, and taking the result as the lower bound of the flow distribution of the cement grout control node corresponding to the grouting flow distribution. Other methods can also be used in other embodiments, which are not limited here.

[0096] It should be noted that the upper limit of the flow distribution mentioned in this application represents the upper limit of the restricted range of cement slurry flow during the grouting process at the ground grouting station. Cement slurry flow exceeding this upper limit is considered an abnormal flow value. The lower limit of the flow distribution represents the lower limit of the restricted range of cement slurry flow during the grouting process at the ground grouting station. Cement slurry flow below this lower limit is considered an abnormal flow value.

[0097] In some embodiments, determining the flow adjustment weight of each cement grout control node in the out-of-bounds state during cement grouting based on each flow safety interval and the out-of-bounds fluctuation index can be achieved by the following steps:

[0098] Determine the dynamic adjustment amount of the cement slurry control node corresponding to each flow safety interval;

[0099] The flow adjustment weight of each cement grout control node in the out-of-bounds state is determined based on the out-of-bounds fluctuation index and all flow dynamic adjustment amounts.

[0100] In specific implementation, the dynamic adjustment amount of the flow rate of the cement grout control node corresponding to each flow safety interval can be determined in the following way: Select a flow safety interval, select the minimum grout flow rate value from all grout flow rate values ​​exceeding the upper boundary of the flow distribution of the flow safety interval, and select the maximum grout flow rate value from all grout flow rate values ​​below the lower boundary of the flow distribution of the flow safety interval. Subtract the minimum grout flow rate value from the maximum grout flow rate value, and use the subtraction result as the dynamic adjustment amount of the flow rate of the cement grout control node corresponding to the flow safety interval. Repeat the above steps to obtain the dynamic adjustment amount of the flow rate of the cement grout control node corresponding to the remaining flow safety intervals. Other methods can also be used in other embodiments, which are not limited here.

[0101] It should be noted that the dynamic flow adjustment amount mentioned in this application refers to the amount of adjustment or correction of the cement grout flow rate during the cement grouting process. The dynamic flow adjustment amount can be used to adjust the flow control equipment in the cement grouting system to ensure the stability and consistency of the flow rate during the cement grouting process.

[0102] In specific implementation, the flow adjustment weight of each cement slurry control node in the out-of-bounds state during cement slurry grouting can be determined by the following method based on the out-of-bounds fluctuation index and all flow dynamic adjustment amounts: divide each flow dynamic adjustment amount by the out-of-bounds fluctuation index, and use the value obtained by division as the flow adjustment weight of each cement slurry control node in the out-of-bounds state during cement slurry grouting. Other methods can also be used in other embodiments, which are not limited here.

[0103] It should be noted that the parameter value of the flow regulation weight in this application is the stability of the cement slurry flow distribution under the out-of-bounds state. The larger the flow regulation weight, the lower the stability of the cement slurry flow distribution under the out-of-bounds state.

[0104] In step 104, the diffusion deviation record of the ground grouting station is extracted from the historical diffusion distance data, and then the maximum allowable deviation of the ground grouting station during cement grouting is determined based on the diffusion deviation record. The grouting adjustment amount of the diffusion distance is determined by all flow adjustment weights and the maximum allowable deviation.

[0105] It should be noted that the diffusion deviation described in this application represents the difference between diffusion distances between consecutive time intervals. In specific implementation, for each diffusion distance record in the historical diffusion distance data, firstly, a diffusion distance record is selected, and the difference between the first and second diffusion distance values ​​in that record is taken as the diffusion deviation value of the first diffusion distance value in that record. Then, the difference between the second and third diffusion distance values ​​in that record is taken as the diffusion deviation value of the second diffusion distance value in that record, and so on, until the last diffusion distance value. The diffusion deviation value of the last diffusion distance value is then set to 0. Secondly, all diffusion deviation values ​​are sorted in ascending order, and the resulting sequence is taken as the diffusion deviation value sequence of the cement slurry control node corresponding to that diffusion distance record. Then, the above steps are repeated to obtain the diffusion deviation value sequence of the cement slurry control node corresponding to the remaining diffusion distance records. Finally, the record composed of all diffusion deviation value sequences is taken as the diffusion deviation record of the ground grouting station.

[0106] In some embodiments, reference Figure 3 As shown in the figure, this is a flowchart illustrating the process of determining the maximum permissible deviation in some embodiments of this application. In this embodiment, determining the maximum permissible deviation of the ground grouting station during cement grouting based on the diffusion deviation record can be achieved through the following steps:

[0107] First, in step 1041, a linear fit is performed on each diffusion deviation value sequence in the diffusion deviation record to obtain multiple diffusion deviation value fitting curves;

[0108] Secondly, in step 1042, the diffusion derivative range of the fitting curve for each diffusion deviation value is determined;

[0109] Then, in step 1043, the maximum permissible deviation of the ground grouting station during cement grouting is determined based on all the diffusion derivative range values.

[0110] In specific implementation, linear fitting is performed on each diffusion deviation value sequence in the diffusion deviation record to obtain multiple diffusion deviation value fitting curves. This can be achieved in the following way: the same linear fitting algorithm is used to fit each diffusion deviation value sequence in the diffusion deviation record, such as least squares method, polynomial fitting, least squares support vector machine, etc., and all the fitted curves are used as diffusion deviation value fitting curves. Other methods can also be used in other embodiments, which are not limited here.

[0111] In practice, the diffusion derivative range of the fitting curve for each diffusion deviation value can be determined in the following way: take the derivative at each position on the fitting curve for each diffusion deviation value, subtract the largest and smallest derivatives on the fitting curve for each diffusion deviation value, and take the value obtained by subtraction as the diffusion derivative range of the corresponding fitting curve for the diffusion deviation value.

[0112] It should be noted that the diffusion derivative range value mentioned in this application reflects the rate of change of diffusion deviation during cement grout injection. The larger the diffusion derivative range value, the faster the diffusion deviation changes, and the slower the diffusion deviation changes.

[0113] In specific implementation, the maximum allowable deviation of the ground grouting station during cement grouting can be determined based on all diffusion derivative range values ​​in the following way: select the largest and smallest diffusion derivative range values ​​from all diffusion derivative range values, subtract the largest and smallest diffusion derivative range values, and use the difference as the maximum allowable deviation of the ground grouting station during cement grouting. Other methods can also be used in other embodiments, which will not be elaborated here.

[0114] It should be noted that the maximum permissible deviation mentioned in this application refers to the maximum range of deviation between the actual diffusion distance and the target diffusion distance that is allowed to exist. The maximum permissible deviation can ensure that the actual diffusion distance can fluctuate within a certain range during the cement grouting process, so as not to cause quality problems or grouting interruption.

[0115] In some embodiments, determining the grouting adjustment amount for the diffusion distance using all flow rate adjustment weights and the maximum permissible deviation can be achieved through the following steps:

[0116] The out-of-bounds correction range for the ground grouting station is determined based on all flow regulation weights;

[0117] The grouting adjustment amount for the diffusion distance is determined by the out-of-bounds correction range and the maximum permissible deviation.

[0118] In practice, the boundary correction range of the ground grouting station can be determined based on all flow regulation weights in the following way: First, normalize all flow regulation weights and use each normalized value as the standard value of the boundary state distribution. Second, select the largest and smallest boundary state distribution standard values ​​from all the boundary state distribution standard values, take the difference between the largest and smallest boundary state distribution standard values, take the base of the natural logarithm of the difference, and use the base of the natural logarithm as the boundary correction range of the ground grouting station.

[0119] It should be noted that the aforementioned boundary correction range is a measure describing the degree to which the boundary state deviates from the expected value during cement grout injection. It reflects the degree of abnormality or deviation that occurs during the grouting process; a larger boundary correction range indicates a more severe deviation from the boundary state.

[0120] In specific implementation, the grouting adjustment amount for determining the diffusion distance by the over-limit correction range and the maximum permissible deviation can be achieved in the following way: multiply the over-limit correction range and the maximum permissible deviation, and use the value obtained after multiplication as the grouting adjustment amount for the diffusion distance. Other methods can also be used in other embodiments, which are not limited here.

[0121] It should be noted that the grouting adjustment amount mentioned in this application represents an adjustment made according to changes in system status or input parameters to ensure that a process or system operates normally within a specific boundary. The grouting adjustment amount is used to adjust the parameters of the grouting equipment to keep the grouting parameters within a predetermined boundary range.

[0122] In step 105, during cement grout injection, the diffusion distance of each cement grout control node in the ground grouting station is constrained and adjusted based on the grouting adjustment amount.

[0123] In some embodiments, during cement grouting, constraining and adjusting the diffusion distance of each cement grout control node in the ground grouting station based on the grouting adjustment amount can be achieved by the following steps:

[0124] The constraint coefficients of each cement slurry control node in the ground grouting station are determined based on the pre-trained constraint model and the grouting adjustment amount.

[0125] The diffusion distance of each cement slurry control node in the ground grouting station is adjusted using all constraint coefficients.

[0126] In specific implementation, the constraint coefficients of each cement slurry control node in the ground grouting station can be determined based on the pre-trained constraint model and the grouting adjustment amount in the following way: First, the grouting adjustment amount is used as the constraint parameter of cement slurry control in the constraint model. For each cement slurry control node in the ground grouting station, the diffusion distance of the cement slurry control node is used as the constraint object of the constraint model. The output result of the constraint model can be used as the constraint coefficient of the cement slurry control node. The constraint coefficients of each cement slurry control node in the ground grouting station can be obtained in the above way. Other methods can also be used in other embodiments, which are not limited here.

[0127] It should be noted that the constraint coefficient mentioned in this application represents the constraint amount used to adjust the grouting parameters of the cement grout control node. The constraint coefficient is used to ensure the uniformity, adhesion and quality stability of the cement grout during the grouting process, thereby improving the quality and efficiency of cement grouting.

[0128] In practice, adjusting the diffusion distance of each cement slurry control node in the ground grouting station using all constraint coefficients can be achieved in the following way: Select a constraint coefficient. If the constraint coefficient is less than 0, increase the diffusion distance of the cement slurry control node corresponding to the constraint coefficient by a multiple of the same value. If the constraint coefficient is equal to 0, do not change the diffusion distance of the cement slurry control node corresponding to the constraint coefficient. If the constraint coefficient is greater than 0, decrease the diffusion distance of the cement slurry control node corresponding to the constraint coefficient by a multiple of the same value. Repeat the above steps to adjust the diffusion distance of the cement slurry control nodes corresponding to the remaining constraint coefficients.

[0129] In another aspect, in some embodiments, this application provides a control system for an underground cement slurry injection process, with reference to... Figure 4 The figure is a schematic diagram of exemplary hardware and / or software of a control system for an underground cement slurry injection process according to some embodiments of this application. The control system 400 for the underground cement slurry injection process includes: an acquisition module 401, a processing module 402, and an execution module 403, which are described below:

[0130] The acquisition module 401 in this application is mainly used to acquire the diffusion distance record of each cement grout control node in the ground grouting station during cement grout injection, and then obtain historical diffusion distance data.

[0131] Processing module 402, in this application, is used to extract grouting boundary violation records when grouting cement slurry is injected from the historical diffusion distance data through a preset grouting boundary violation threshold, and to determine the boundary violation fluctuation index of cement slurry during grouting based on the grouting boundary violation records.

[0132] It should be noted that the processing module 402 described in this application is also used to obtain the grouting flow record of the ground grouting station when injecting cement grout, obtain historical grouting flow data, determine the flow safety range of each cement grout control node when injecting cement grout through the historical grouting flow data, and then determine the flow adjustment weight of each cement grout control node in the out-of-bounds state when injecting cement grout based on each flow safety range and the out-of-bounds fluctuation index.

[0133] In addition, the processing module 402 described in this application is also used to extract the diffusion deviation record of the ground grouting station from the historical diffusion distance data, and then determine the maximum allowable deviation of the ground grouting station when injecting cement slurry based on the diffusion deviation record, and determine the grouting adjustment amount of diffusion distance through all flow adjustment weights and the maximum allowable deviation;

[0134] The execution module 403 in this application is mainly used to constrain and adjust the diffusion distance of each cement slurry control node in the ground grouting station based on the grouting adjustment amount during cement slurry grouting.

[0135] In addition, this application also provides a computer device, the computer device including a memory and a processor, the memory storing code, and the processor being configured to acquire the code and execute the control method for the underground injection process of cement slurry described above.

[0136] In some embodiments, reference Figure 5 The figure is a schematic diagram of a computer device for controlling a cement slurry underground injection process according to some embodiments of this application. The control method for the cement slurry underground injection process in the above embodiments can be achieved through... Figure 5 The computer device shown is used to implement this, and the computer device 500 includes at least one processor 501, a communication bus 502, a memory 503, and at least one communication interface 504.

[0137] The processor 501 may be a general-purpose central processing unit (CPU), an application-specific integrated circuit (ASIC), or one or more control methods for controlling the underground injection process of cement slurry in this application.

[0138] The communication bus 502 can be used to transmit information between the aforementioned components.

[0139] Memory 503 may be a read-only memory (ROM) or other type of static storage device capable of storing static information and instructions, random access memory (RAM) or other type of dynamic storage device capable of storing information and instructions, or electrically erasable programmable read-only memory (EEPROM), compact disc read-only memory (CD-ROM) or other optical disc storage, optical disc storage (including compressed optical discs, laser discs, optical discs, digital universal optical discs, Blu-ray discs, etc.), magnetic disks or other magnetic storage devices, or any other medium capable of carrying or storing desired program code in the form of instructions or data structures and accessible by a computer, but not limited thereto. Memory 503 may exist independently and be connected to processor 501 via communication bus 502. Memory 503 may also be integrated with processor 501.

[0140] The memory 503 stores program code for executing the scheme of this application, and its execution is controlled by the processor 501. The processor 501 executes the program code stored in the memory 503. The program code may include one or more software modules. The method described in the above method embodiments can be implemented by the processor 501 and one or more software modules in the program code in the memory 503.

[0141] Communication interface 504 uses any transceiver-like device to communicate with other devices or communication networks, such as Ethernet, radio access network (RAN), wireless local area networks (WLAN), etc.

[0142] In a specific implementation, as one example, a computer device may include multiple processors, each of which may be a single-core (single CPU) processor or a multi-core (multi CPU) processor. Here, a processor may refer to one or more devices, circuits, and / or processing cores used to process data (e.g., computer program instructions).

[0143] The aforementioned computer device can be a general-purpose computer device or a special-purpose computer device. In specific implementations, the computer device can be a desktop computer, a portable computer, a network server, a handheld digital assistant (PDA), a mobile phone, a tablet computer, a wireless terminal device, a communication device, or an embedded device. This application does not limit the type of computer device.

[0144] In addition, this application also provides a computer-readable storage medium storing a computer program that, when executed by a processor, implements the control method for the underground injection process of cement slurry described above.

[0145] In summary, the control method and system for underground cement grout injection disclosed in this application involves acquiring diffusion distance records for each cement grout control node at the ground grouting station during cement grout injection, thereby obtaining historical diffusion distance data; extracting grouting boundary violation records during cement grout injection from the historical diffusion distance data using a preset grouting boundary violation threshold, and determining the boundary violation fluctuation index of the cement grout during injection based on the grouting boundary violation records; acquiring grouting flow rate records at the ground grouting station during cement grout injection, obtaining historical grouting flow rate data, and determining the grout flow rate for each cement grout during injection based on the historical grouting flow rate data. The system controls the flow safety range of each control node, and then determines the flow adjustment weight of each cement grout control node in the out-of-bounds state during cement grouting based on each flow safety range and the out-of-bounds fluctuation index. It extracts diffusion deviation records of the ground grouting station from the historical diffusion distance data, and then determines the maximum allowable deviation of the ground grouting station during cement grouting based on the diffusion deviation records. The grouting adjustment amount for the diffusion distance is determined by all flow adjustment weights and the maximum allowable deviation. During cement grouting, the diffusion distance of each cement grout control node in the ground grouting station is constrained and adjusted based on the grouting adjustment amount. This application's solution can adaptively adjust the diffusion distance of the grouting station in the out-of-bounds state, thereby improving the stability of the grouting boundary of the grouting station.

[0146] Although preferred embodiments of this application have been described, those skilled in the art, upon learning the basic inventive concept, can make other changes and modifications to these embodiments. Therefore, the appended claims are intended to be interpreted as including the preferred embodiments as well as all changes and modifications falling within the scope of this application.

[0147] Obviously, those skilled in the art can make various modifications and variations to this application without departing from the spirit and scope of this application. Therefore, if such modifications and variations fall within the scope of the claims of this application and their equivalents, this application also intends to include such modifications and variations.

Claims

1. A method for controlling the underground injection process of cement grout, characterized in that, Includes the following steps: During cement grout injection, the diffusion distance record of each cement grout control node in the ground grouting station is obtained, thereby obtaining historical diffusion distance data; By extracting grouting boundary violation records of cement grout during grouting from the historical diffusion distance data using a preset grouting boundary violation threshold, the boundary violation fluctuation index of cement grout during grouting is determined based on the grouting boundary violation records. The grouting flow rate record of the ground grouting station during cement grout injection is obtained to obtain historical grouting flow rate data. The flow rate safety range of each cement grout control node during cement grout injection is determined by the historical grouting flow rate data. Then, the flow rate adjustment weight of each cement grout control node in the out-of-bounds state is determined according to each flow rate safety range and the out-of-bounds fluctuation index. Extract diffusion deviation records of ground grouting stations from the historical diffusion distance data, and then determine the maximum allowable deviation of ground grouting stations during cement grout injection based on the diffusion deviation records. Determine the grouting adjustment amount of diffusion distance by using all flow rate adjustment weights and the maximum allowable deviation. During cement grouting, the diffusion distance of each cement grout control node in the ground grouting station is constrained and adjusted based on the grouting adjustment amount.

2. The method as described in claim 1, characterized in that, The determination of the boundary fluctuation index of cement grout during grouting based on the aforementioned grout boundary violation record specifically includes: The boundary-crossing fluctuation sequence of cement grout during grouting at the ground grouting station is determined based on the grouting boundary crossing record. Initialize the boundary state model; Based on the boundary state model, the boundary fluctuation index of cement grout during grouting is extracted from the boundary fluctuation sequence.

3. The method as described in claim 1, characterized in that, The safe flow range for each cement grout control node during grouting, determined using the historical grouting flow data, specifically includes: Extract the grouting flow difference sequence of the ground grouting station from the historical grouting flow data; The grout flow distribution at each cement grout control node is determined based on the historical grout flow data. Select a grouting flow rate distribution; The upper bound of the flow distribution of the cement slurry control node corresponding to the grout flow distribution is determined based on the grout flow distribution and the grout flow difference sequence. The lower bound of the flow distribution of the cement slurry control node corresponding to the grout flow distribution is determined by the grout flow distribution and the grout flow difference sequence. Therefore, the interval formed by the upper boundary of the flow distribution and the lower boundary of the flow distribution is taken as the safe flow range of the cement slurry control node corresponding to the grouting flow distribution. Repeat the above steps to obtain the safe flow range of the cement slurry control node corresponding to the remaining grouting flow distribution.

4. The method as described in claim 1, characterized in that, The determination of the flow adjustment weight of each cement grout control node in the out-of-bounds state during cement grouting, based on each flow safety range and the out-of-bounds fluctuation index, specifically includes: Determine the dynamic adjustment amount of the cement slurry control node corresponding to each flow safety interval; The flow adjustment weight of each cement grout control node in the out-of-bounds state is determined based on the out-of-bounds fluctuation index and all flow dynamic adjustment amounts.

5. The method as described in claim 1, characterized in that, The maximum permissible deviation for ground grouting stations during cement grouting, determined based on the aforementioned diffusion deviation records, specifically includes: Linear fitting is performed on each diffusion deviation value sequence in the diffusion deviation record to obtain multiple diffusion deviation value fitting curves; Determine the range of the diffusion derivative of the fitted curve for each diffusion deviation value; The maximum permissible deviation of the ground grouting station during cement grouting is determined based on the range of all diffusion derivatives.

6. The method as described in claim 1, characterized in that, The grouting adjustment amount, which determines the diffusion distance using all flow rate adjustment weights and the maximum permissible deviation, specifically includes: The out-of-bounds correction range for the ground grouting station is determined based on all flow regulation weights; The grouting adjustment amount for the diffusion distance is determined by the out-of-bounds correction range and the maximum permissible deviation.

7. The method as described in claim 1, characterized in that, The constraint adjustment of the diffusion distance of each cement slurry control node in the ground grouting station based on the grouting adjustment amount specifically includes: The constraint coefficients of each cement slurry control node in the ground grouting station are determined based on the pre-trained constraint model and the grouting adjustment amount. The diffusion distance of each cement slurry control node in the ground grouting station is adjusted using all constraint coefficients.

8. A control system for underground cement slurry injection process, characterized in that, include: The acquisition module is used to acquire the diffusion distance record of each cement grout control node in the ground grouting station during cement grout injection, and then obtain historical diffusion distance data. The processing module is used to extract grouting boundary violation records when grouting cement slurry is injected from the historical diffusion distance data through a preset grouting boundary violation threshold, and to determine the boundary violation fluctuation index of cement slurry during grouting based on the grouting boundary violation records. The processing module is also used to acquire the grouting flow record of the ground grouting station when injecting cement grout, obtain historical grouting flow data, determine the flow safety range of each cement grout control node when injecting cement grout through the historical grouting flow data, and then determine the flow adjustment weight of each cement grout control node in the out-of-bounds state when injecting cement grout based on each flow safety range and the out-of-bounds fluctuation index. The processing module is also used to extract diffusion deviation records of the ground grouting station from the historical diffusion distance data, and then determine the maximum allowable deviation of the ground grouting station when injecting cement slurry based on the diffusion deviation records, and determine the grouting adjustment amount of diffusion distance through all flow adjustment weights and the maximum allowable deviation; The execution module is used to constrain and adjust the diffusion distance of each cement slurry control node in the ground grouting station based on the grouting adjustment amount during cement slurry injection.

9. A computer device comprising a memory and a processor, wherein the memory stores a computer program, characterized in that, When the processor executes the computer program, it implements the control method for the underground injection process of cement slurry as described in any one of claims 1 to 7.

10. A computer-readable storage medium storing a computer program, characterized in that, When the computer program is executed by the processor, it implements the control method for the underground injection process of cement slurry as described in any one of claims 1 to 7.

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