Method and system for controlling underground injection process of cement grout

Abstract

The invention provides a control method and system for a cement grout underground injection process. The method comprises the following steps: acquiring historical diffusion distance data; extracting a grouting border-crossing record during grouting of the cement grout from the historical diffusion distance data, and determining a border-crossing fluctuation index of the cement grout during grouting according to the grouting border-crossing record; historical grouting flow data are obtained, the flow safety interval of each cement grout control node is further determined, and the flow adjusting weight of each cement grout control node in the border crossing state is determined according to each flow safety interval and the border crossing fluctuation index; the diffusion deviation record of the ground grouting station is further extracted, then the maximum allowable deviation of the ground grouting station during cement grout grouting is determined, and the grouting adjusting amount of the diffusion distance is determined through all the flow adjusting weights and the maximum allowable deviation; the diffusion distance of each cement grout control node in the ground grouting station is restrained and adjusted based on the grouting adjusting amount; and adaptive adjustment of the diffusion distance is realized.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of cement slurry, more particularly, the present application relates to a control method and system for cement slurry underground injection process. BACKGROUND

[0002] In the field of geotechnical engineering grouting technology, it is a long-term core challenge to effectively control the diffusion behavior of slurry underground. The diffusion range of slurry directly determines the final quality, safety reliability and economic cost of the project. For example: In the field of foundation engineering construction, post-grouting of precast pipe pile is often carried out at the end or side of the pile to improve the bearing capacity of the precast pipe pile. The grouting amount (directly related to the diffusion volume) is a key determinant of the bearing capacity. If the diffusion is insufficient (the grouting amount is too small), an effective reinforcement body cannot be formed, and the pile foundation bearing capacity may not meet the design requirements, posing a serious safety hazard. If the diffusion is excessive (the grouting amount is much larger than the design), the excess part has little effect on the improvement of the bearing capacity, but the waste of cement and other materials is 100%, directly eroding the project profit. The control objective here is to achieve precise material input under the premise of meeting the design safety threshold.

[0003] In the field of underground space development, after the shield machine advances behind the tunnel shield construction segment, there is a gap between the segment and the soil layer, which must be immediately grouted to fill and stabilize the stratum. If the slurry diffusion is insufficient, it will lead to incomplete filling, causing uneven stress on the tunnel segment, which is prone to segment cracking, misalignment and later water leakage, etc., threatening the long-term safety of the tunnel. If the slurry diffuses excessively, the high-pressure slurry may split the surrounding soil, disturbing the adjacent existing subway tunnels, pipelines, building foundations, etc., causing unforeseen engineering risks. The control here focuses on ensuring the density and uniformity of the filling and strictly controlling the influence range within the safety area.

[0004] In the field of environmental governance, in the scenario of in-situ barrier curtain construction of contaminated sites, the goal is to build a vertical underground continuous wall to block the migration of pollutants. If the slurry diffusion is insufficient, it will lead to weak points or even gaps in the curtain, and pollutants can easily pass through this barrier, making the costly barrier project completely ineffective, posing a huge environmental risk. If the slurry diffuses excessively, although a thicker wall may be formed, it will sharply increase the amount of expensive slurry (often using special cement or bentonite slurry), causing unnecessary economic waste. The precise control here is to ensure the continuity and integrity of the barrier while avoiding material waste.

[0005] In the application of large-scale underground drip irrigation system in the field of agricultural water-saving irrigation, after the drip irrigation tape is buried underground, grout needs to be injected around it to block the gap between the pipe wall and the soil. If the grout spreads excessively, it will unnecessarily fill a large amount of surrounding soil, resulting in a large amount of waste of expensive grout material (even if low-cost materials are used, the total cost is still extremely high on the scale of tens of thousands of mu of farmland), significantly increasing the project cost. On the contrary, if the grout does not spread enough, it will result in poor sealing, and irrigation water will flow from the gap outside the pipe wall with less resistance rather than uniformly seeping from the designed drip holes. This will directly lead to uneven irrigation of crops, with some areas being too wet and some areas being dry, seriously affecting water-saving effect and crop yield. Therefore, the core purpose of precise control of the process is to optimize the material cost to the extreme on the premise of ensuring the sealing function.

[0006] However, existing grouting control techniques often rely on experience or simple parameter constant control, making it difficult to accurately manage the spread range. The current technology lacks an intelligent method that can predict and adaptively adjust the grouting spread range based on historical data and real-time parameters. This results in the grouting process being difficult to optimize the control of material consumption while ensuring project quality in the face of batch and standardized operation scenarios. SUMMARY

[0007] The present application provides a control method and system for the process of cement grouting underground, which can adaptively adjust the spread distance of the grouting station in the out-of-bound state.

[0008] In the first aspect, the present application provides a control method for the process of cement grouting underground, comprising the following steps: Obtain the spread distance record of each cement grouting control node in the ground grouting station during cement grouting, and then obtain the historical spread distance data; Extract the grouting out-of-bound record during grouting of cement grout from the historical spread distance data through a pre-set grouting out-of-bound threshold, and determine the out-of-bound fluctuation index of cement grout during grouting according to the grouting out-of-bound record; Obtain the grouting flow record of the ground grouting station during cement grouting to obtain the historical grouting flow data, determine the flow safety interval of each cement grouting control node during grouting of cement grout through the historical grouting flow data, and then determine the flow adjustment weight of each cement grouting control node in the out-of-bound state during cement grouting according to each flow safety interval and the out-of-bound fluctuation index; Extract the spread deviation record of the ground grouting station from the historical spread distance data, and then determine the maximum allowed deviation of the ground grouting station during cement grouting according to the spread deviation record, and determine the grouting adjustment amount of the spread distance through all flow adjustment weights and the maximum allowed deviation; The diffusion distance of each cement slurry control node in the ground grouting station is adjusted based on the grouting adjustment amount when the cement slurry is grouted.

[0009] In some embodiments, the out-of-bound fluctuation index of the cement slurry during grouting is determined according to the grouting out-of-bound record, and specifically includes: The out-of-bound fluctuation sequence of the cement slurry during grouting of the ground grouting station is determined according to the grouting out-of-bound record. The boundary state model is initialized. The out-of-bound fluctuation index of the cement slurry during grouting is extracted from the out-of-bound fluctuation sequence based on the boundary state model.

[0010] In some embodiments, the flow safety interval of each cement slurry control node during grouting of the cement slurry is determined according to the historical grouting flow data, and specifically includes: The grouting flow difference sequence of the ground grouting station is extracted from the historical grouting flow data. The grouting flow distribution amount of each cement slurry control node is determined according to the historical grouting flow data. One grouting flow distribution amount is selected. The flow distribution upper limit of the cement slurry control node corresponding to the grouting flow distribution amount is determined according to the grouting flow distribution amount and the grouting flow difference sequence. The flow distribution lower limit of the cement slurry control node corresponding to the grouting flow distribution amount is determined according to the grouting flow distribution amount and the grouting flow difference sequence. The interval formed by the flow distribution upper limit and the flow distribution lower limit is taken as the flow safety interval of the cement slurry control node corresponding to the grouting flow distribution amount. The above steps are repeated to obtain the flow safety interval of the cement slurry control node corresponding to the remaining grouting flow distribution amount.

[0011] In some embodiments, the flow adjustment weight of each cement slurry control node in the out-of-bound state during grouting of the cement slurry is determined according to each flow safety interval and the out-of-bound fluctuation index, and specifically includes: The flow dynamic adjustment amount of the cement slurry control node corresponding to each flow safety interval is determined. The flow adjustment weight of each cement slurry control node in the out-of-bound state during grouting of the cement slurry is determined according to the out-of-bound fluctuation index and all flow dynamic adjustment amounts.

[0012] In some embodiments, the maximum allowed deviation of the ground grouting station during grouting of the cement slurry is determined according to the diffusion deviation record, and specifically includes: Each diffusion deviation value sequence in the diffusion deviation record is linearly fitted to obtain a plurality of diffusion deviation value fitting curves. determine a diffusion derivative difference value of each diffusion deviation fitting curve; determine a maximum allowed deviation of the ground grouting station when grouting the cement slurry according to all diffusion derivative difference values.

[0013] In some embodiments, the grouting adjustment amount of the diffusion distance is determined by all flow adjustment weights and the maximum allowed deviation specifically includes: determine a cross-border correction range of the ground grouting station according to all flow adjustment weights; determine the grouting adjustment amount of the diffusion distance by the cross-border correction range and the maximum allowed deviation.

[0014] In some embodiments, 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: determine a constraint coefficient of each cement slurry control node in the ground grouting station based on the pre-trained constraint model and the grouting adjustment amount; adjust the diffusion distance of each cement slurry control node in the ground grouting station by all constraint coefficients.

[0015] In the second aspect, the application provides a control system for a cement slurry underground injection process, comprising: an acquisition module, configured to acquire a diffusion distance record of each cement slurry control node in the ground grouting station when grouting the cement slurry, and then obtain historical diffusion distance data; a processing module, configured to extract a grouting cross-border record when grouting the cement slurry from the historical diffusion distance data by a preset grouting cross-border threshold, and determine a cross-border fluctuation index of the cement slurry when grouting according to the grouting cross-border record; The processing module is further configured to acquire a grouting flow record of the ground grouting station when grouting the cement slurry, obtain historical grouting flow data, determine a flow safety interval of each cement slurry control node when grouting the cement slurry by the historical grouting flow data, and then determine a flow adjustment weight of each cement slurry control node in a cross-border state when grouting the cement slurry according to each flow safety interval and the cross-border fluctuation index; The processing module is further configured to extract a diffusion deviation record of the ground grouting station from the historical diffusion distance data, and then determine a maximum allowed deviation of the ground grouting station when grouting the cement slurry according to the diffusion deviation record, and determine a grouting adjustment amount of the diffusion distance by all flow adjustment weights and the maximum allowed deviation; an execution module, configured to perform constraint adjustment of the diffusion distance of each cement slurry control node in the ground grouting station based on the grouting adjustment amount when grouting the cement slurry.

[0016] In a third aspect, the present application provides a computer device, comprising a memory and a processor, the memory stores a code, and the processor is configured to acquire the code and execute the control method of the cement slurry underground injection process.

[0017] In a fourth aspect, the present application provides a computer readable storage medium, which stores a computer program, and the computer program is executed by a processor to implement the control method of the cement slurry underground injection process.

[0018] The technical scheme provided by the embodiments of the present application has the following beneficial effects: In the control method and system of the cement slurry underground injection process provided by the present application, the diffusion distance record of each cement slurry control node in the ground grouting station is obtained when the cement slurry is injected, and then the historical diffusion distance data is obtained; the grouting out-of-bound record of the grouting cement slurry is extracted from the historical diffusion distance data through a preset grouting out-of-bound threshold, and the out-of-bound fluctuation index of the grouting cement slurry is determined according to the grouting out-of-bound record; the grouting flow record of the ground grouting station when the cement slurry is injected is obtained, and the historical grouting flow data is obtained, the flow safety interval of each cement slurry control node when the grouting cement slurry is injected is determined through the historical grouting flow data, and then the flow adjustment weight of each cement slurry control node in the out-of-bound state when the cement slurry is grouted is determined according to each flow safety interval and the out-of-bound 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 when the cement slurry is grouted is determined according to the diffusion deviation record, and the grouting adjustment amount of the diffusion distance is determined through all the flow adjustment weights and the maximum allowable deviation; when the cement slurry is grouted, the diffusion distance of each cement slurry control node in the ground grouting station is adjusted and constrained based on the grouting adjustment amount.

[0019] It can be seen that in the present application, the grouting adjustment amount of the diffusion distance can be determined by all the flow adjustment weights and the maximum allowable deviation; when grouting cement slurry, the diffusion distance of each cement slurry control node in the ground grouting station is constrained and adjusted based on the grouting adjustment amount; wherein, first, the flow adjustment weight used to measure the stability of the cement slurry flow grouting distribution under the out-of-bounds state is extracted from each flow safety interval through the out-of-bounds fluctuation index that measures the uncertainty of the out-of-bounds state of the cement slurry during the grouting process; secondly, the diffusion deviation of the ground grouting station during cement slurry grouting is quantified according to the diffusion deviation record, and the maximum allowable deviation that describes the maximum deviation variation range allowed between the actual diffusion distance and the target diffusion distance is obtained; finally, the diffusion distance of each cement slurry control node in the ground grouting station is constrained and adjusted based on the grouting adjustment amount; in summary, the scheme of the present application can realize adaptive adjustment of the diffusion distance of the grouting station under the out-of-bounds state, thereby improving the stability of the grouting boundary of the grouting station. BRIEF DESCRIPTION OF THE DRAWINGS

[0020] Figure 1 is an exemplary flow chart of a method for controlling a cement slurry underground injection process according to some embodiments of the present application; Figure 2 is a schematic diagram of a process for determining an out-of-bounds volatility index in some embodiments of the present application; Figure 3 is a schematic diagram of a process for determining the maximum allowable deviation in some embodiments of the present application; Figure 4 is a structural block diagram of a control system for a cement slurry underground injection process in some embodiments of the present application; Figure 5 It is a structural diagram of a computer device for implementing a control method for an underground cement slurry injection process according to some embodiments of the present application. DETAILED DESCRIPTION

[0021] The core of the present application is to obtain the diffusion distance record of each cement slurry control node in the ground grouting station during cement slurry injection, and then obtain historical diffusion distance data; extract the grouting boundary crossing record during grouting of cement slurry in the historical diffusion distance data through a preset grouting boundary crossing threshold, determine the boundary crossing fluctuation index of the cement slurry during grouting according to the grouting boundary crossing record; obtain the grouting flow record of the ground grouting station during cement slurry injection, obtain historical grouting flow data, determine the flow safety interval of each cement slurry control node during grouting of cement slurry through the historical grouting flow data, and then determine the flow adjustment weight of each cement slurry control node in the boundary state during cement slurry grouting according to each flow safety interval and the boundary crossing fluctuation index; extract the diffusion deviation record of the ground grouting station in the historical diffusion distance data, and then determine the maximum allowable deviation of the ground grouting station during cement slurry grouting according to the diffusion deviation record, determine the grouting adjustment amount of the diffusion distance through all flow adjustment weights and the maximum allowable deviation; during cement slurry grouting, the diffusion distance of each cement slurry control node in the ground grouting station is constrained and adjusted based on the grouting adjustment amount. The scheme of the present application can realize adaptive adjustment of the diffusion distance of the grouting station in the boundary state, thereby improving the stability of the grouting boundary of the grouting station.

[0022] In order to better understand the above technical solutions, the above technical solutions will be described in detail below in combination with the drawings in the specification and specific embodiments. Referring to Figure 1 The figure is an exemplary flowchart of a control method for a cement slurry underground injection process according to some embodiments of the present application, which mainly includes the following steps: In step 101, the diffusion distance record of each cement slurry control node in the ground grouting station during cement slurry injection is obtained, and then historical diffusion distance data is obtained.

[0023] It should be noted that the "cement slurry injection process" in the present application refers to the operation method of pumping slurry into rock-soil body by pressure to fill fissures, reinforce strata and plug leakage; the cement slurry control node in the grouting station is a key component that can control the parameters such as cement slurry flow, grouting pressure and grouting time during the grouting process; the ground grouting station will monitor and record the diffusion distance of each cement slurry control node, which can be designed according to different scenes (such as post-grouting of precast pipe pile, post-grouting of shield segment back, etc.) in specific implementation. For example, for any cement slurry control node, the diffusion volume of the slurry has a direct quantitative relationship with the cumulative grouting amount. According to the design form of the grouting target body (such as the spherical shape of the pile end, the annular shape behind the segment back, the columnar shape of the curtain or the annular shape of the drip irrigation belt), a geometric model of the diffusion volume and the characteristic diffusion distance (such as radius or thickness or other parameters) can be established, and the ground grouting station can monitor and record the cumulative grouting amount of each node in real time; during the grouting process, the theoretical diffusion distance corresponding to the current cumulative grouting amount can be calculated in real time according to the above geometric model through the corresponding inverse function. In view of the application scenarios described in the background art, the form and spatial range of the grouting target body are usually known or can be designed. Therefore, the "diffusion distance" described in the present application can be a key process control parameter calculated by real-time grouting amount based on the theoretical diffusion model.

[0024] In addition, in some embodiments, the diffusion distance can also be dependent on the key parameters that can represent the diffusion range of the slurry in a specific grouting application.

[0025] The "diffusion distance" in the present application is a technical feature representing the spatial distribution range of the slurry, and its specific meaning and acquisition method vary with the application scenario: For example, in the post-grouting scene of precast pipe pile, the diffusion distance can also be associated with the theoretical calculation value. Specifically, according to the classical spherical or columnar diffusion theory model, the real-time calculated slurry theoretical diffusion radius can be obtained by taking the real-time collected grouting pressure and cumulative grouting amount as the core input parameters, and combining the stratum permeability coefficient, slurry viscosity and other parameters obtained through the geological survey report. This calculation value can be used as the diffusion distance in this scene to determine whether the grouting body has reached the required reinforcement range of the design.

[0026] In the scenario of grouting behind the shield tunnel segment, the diffusion distance can be associated with the comprehensive judgment of grouting pressure and grouting quantity. Since the volume of the gap behind the segment is calculable, the primary goal of grouting is to accurately fill the gap. Therefore, the percentage of the cumulative grouting quantity relative to the theoretical gap volume can be used as a key equivalent diffusion indicator. At the same time, the change of grouting pressure directly reflects whether the slurry is filled densely or whether it starts to split to the far formation. In this scenario, the grouting quantity corresponding to the characteristic point (such as the pressure inflection point) of the grouting pressure-grouting quantity curve can be converted into an equivalent diffusion distance representing the filling degree.

[0027] In the scenario of in-situ barrier curtain construction in contaminated sites, the diffusion distance can be associated with the inferred value based on sequential grouting. This scenario usually proceeds drilling and grouting in sequence. The grouting pressure and grouting quantity data of the current sequential grouting hole can be used to infer the diffusion radius of the slurry in the vertical direction, thereby optimizing the hole spacing and row spacing of the adjacent subsequent grouting holes and ensuring the continuity of the curtain overlap. The diffusion distance here is an optimized control value inferred from historical grouting data to guide subsequent construction.

[0028] In the scenario of agricultural underground drip irrigation tape plugging grouting, the diffusion distance can be associated with the model estimated value based on fluid-structure coupling. The target of this scenario is clear, that is, to plug the annular gap between the drip irrigation tape and the soil. A simplified grouting quantity-diffusion model can be established according to the theoretical volume of the annular gap and the porosity of the soil. Through real-time monitoring of the grouting quantity, the equivalent diffusion distance of the slurry in the annular gap and the surrounding soil can be estimated, thereby judging whether the plugging is completed and whether excessive waste occurs.

[0029] The average of the diffusion distances of the cement slurry control nodes within every 30 seconds during the operation of the ground grouting station can be taken as the diffusion distance value at the intermediate time point within the corresponding 30 seconds. The set of all diffusion distance values obtained during the operation of the grouting station for three days can be taken as the diffusion distance record of the cement slurry control nodes. Through the above-mentioned method, the diffusion distance record of each cement slurry control node can be obtained, and then the set of all diffusion distance records can be taken as historical diffusion distance data.

[0030] In step 102, the grouting out-of-bound record of the cement slurry during grouting is extracted from the historical diffusion distance data through a preset grouting out-of-bound threshold, and the out-of-bound fluctuation index of the cement slurry during grouting is determined according to the grouting out-of-bound record.

[0031] It should be noted that the grouting out-of-bound threshold in the present application represents that the cement slurry exceeds the tolerance limit of the predetermined range in the grouting process, and is used to determine whether the cement slurry grouting exceeds the allowable range; when the diffusion distance of the cement slurry control node of the grouting station exceeds the preset grouting out-of-bound threshold, it is called grouting out-of-bound; in specific implementation, the grouting out-of-bound threshold can be preset according to the specific construction condition, so as to ensure that the cement slurry is grouted only in the predetermined area under the current construction, and the situation that the cement slurry grouting exceeds the predetermined range is avoided.

[0032] In some embodiments, the extraction of the grouting out-of-bound record of the grouting cement slurry in the historical diffusion distance data through the preset grouting out-of-bound threshold can be implemented by the following steps: Obtaining all diffusion distance values of each diffusion distance record from the historical diffusion distance data; Taking all diffusion distance values higher than the preset grouting out-of-bound threshold as grouting out-of-bound values; Determining the grouting out-of-bound record of the grouting cement slurry according to all grouting out-of-bound values.

[0033] In specific implementation, the determination of the grouting out-of-bound record of the grouting cement slurry according to all grouting out-of-bound values can be implemented by the following way, that is, selecting one grouting out-of-bound value, and taking the grouting out-of-bound value and the record time of the grouting out-of-bound value in the diffusion distance record as a data group, taking the obtained data group as the grouting out-of-bound data group of the grouting out-of-bound value, repeating the above steps to obtain the grouting out-of-bound data groups of the remaining grouting out-of-bound values, and taking the set composed of all grouting out-of-bound data groups as the grouting out-of-bound record of the grouting cement slurry.

[0034] In some embodiments, referring to Figure 2 The figure is a flow diagram for determining the out-of-bound fluctuation index in some embodiments of the present application, and the determination of the out-of-bound fluctuation index of the grouting cement slurry according to the grouting out-of-bound record in the present embodiment can be implemented by the following steps: Firstly, in step 1021, the out-of-bound fluctuation sequence of the grouting cement slurry when the ground grouting station grouts is determined according to the grouting out-of-bound record; Secondly, in step 1022, the boundary state model is initialized; Then, in step 1023, the out-of-bound fluctuation index of the grouting cement slurry is extracted from the out-of-bound fluctuation sequence based on the boundary state model.

[0035] In a specific implementation, the out-of-bound fluctuation sequence of the cement slurry during grouting of the ground grouting station can be determined according to the grouting out-of-bound record in the following manner. First, the maximum grouting out-of-bound value and the minimum grouting out-of-bound value are selected from all grouting out-of-bound data groups in the grouting out-of-bound record, and the average value between the two is taken as the fluctuation out-of-bound equilibrium value. Then, the grouting out-of-bound value of all grouting out-of-bound data groups is reduced by the fluctuation out-of-bound equilibrium value, and the value obtained after the reduction is taken as the out-of-bound fluctuation value. Finally, all out-of-bound fluctuation values are sorted in ascending order, and the sequence obtained by the sorting is taken as the out-of-bound fluctuation sequence of the cement slurry during grouting of the ground grouting station. In other embodiments, other methods can also be used to achieve the out-of-bound fluctuation sequence, which is not limited here.

[0036] It should be noted that the initialization boundary state model in the present application can use a hidden Markov model, and the model is initialized, including initializing the state set, the observation set, the initial probability matrix and the state transition matrix, and the model is trained using the expectation maximization algorithm. During the training process, the parameters of the model are updated by maximizing the likelihood function of the observation set, and the model after the training is completed is taken as the boundary state model.

[0037] In a specific implementation, the out-of-bound fluctuation index of the cement slurry during grouting can be extracted from the out-of-bound fluctuation sequence based on the boundary state model in the following manner. First, the boundary state model is used to perform state inference on the out-of-bound fluctuation sequence, and the probability distribution of each state at each time is calculated. These probability distributions reflect the possibility of out-of-bound at each time. Then, the information entropy formula is used to calculate the probability distribution of each out-of-bound state, and the value obtained by the calculation is taken as the out-of-bound fluctuation index of the cement slurry during grouting. In other embodiments, other methods can also be used to achieve the out-of-bound fluctuation index, which is not described here.

[0038] It should be noted that the out-of-bound fluctuation index in the present application represents a measure of the uncertainty of the out-of-bound state distribution of the diffusion distance of the cement slurry during grouting. The out-of-bound fluctuation index is used to evaluate the stability of the cement slurry grouting process. When the out-of-bound fluctuation index is low, it means that the change of the out-of-bound state is stable, and the grouting process is more reliable. When the out-of-bound fluctuation index is high, it may mean that there is a large uncertainty in the grouting process, which needs to be further optimized or adjusted.

[0039] In step 103, the grouting flow record of the ground grouting station during cement slurry injection is obtained, and historical grouting flow data is obtained. The flow safety interval of each cement slurry control node during grouting of the cement slurry is determined through the historical grouting flow data. Then, the flow adjustment weight of each cement slurry control node in the out-of-bound state during grouting of the cement slurry is determined according to each flow safety interval and the out-of-bound fluctuation index.

[0040] In a specific implementation, the average of the grouting flow rate of the cement slurry control node in every 30 seconds during the operation of the ground grouting station can be taken as the grouting flow rate value at the intermediate time point in every 30 seconds, and the set of all grouting flow rate values obtained during the operation of the ground grouting station for three days can be taken as the grouting flow rate record of the cement slurry control node. In this way, the grouting flow rate record of each cement slurry control node can be obtained, and then the set of all grouting flow rate records can be taken as the historical grouting flow rate data.

[0041] In some embodiments, determining the flow rate safety interval of each cement slurry control node during grouting of the cement slurry can be achieved by the following steps: extracting a grouting flow rate difference sequence of the ground grouting station from the historical grouting flow rate data; determining the grouting flow rate distribution quantity of each cement slurry control node according to the historical grouting flow rate data; selecting a grouting flow rate distribution quantity; determining the flow rate distribution upper limit of the cement slurry control node corresponding to the grouting flow rate distribution quantity according to the grouting flow rate distribution quantity and the grouting flow rate difference sequence; determining the flow rate distribution lower limit of the cement slurry control node corresponding to the grouting flow rate distribution quantity according to the grouting flow rate distribution quantity and the grouting flow rate difference sequence; further taking the interval formed by the flow rate distribution upper limit and the flow rate distribution lower limit as the flow rate safety interval of the cement slurry control node corresponding to the grouting flow rate distribution quantity; repeating the above steps to obtain the flow rate safety interval of the cement slurry control node corresponding to the remaining grouting flow rate distribution quantity.

[0042] In a specific implementation, extracting the grouting flow rate difference sequence of the ground grouting station from the historical grouting flow rate data can be achieved by the following method, i.e., sorting all grouting flow rate values in the historical grouting flow rate data in ascending order, then performing a difference operation on the sorted sequence, taking the sequence obtained after the difference operation as the grouting flow rate difference sequence of the ground grouting station, and taking each value in the grouting flow rate difference sequence as a grouting flow rate difference value. In other embodiments, other methods can also be used for implementation, which are not limited here.

[0043] In a specific implementation, determining the grouting flow distribution of each cement slurry control node according to the historical grouting flow data can be implemented in the following manner: first, a grouting flow record is selected from the historical grouting flow data, and a normal distribution model is fitted using the grouting flow record; the fitting degree of the normal distribution model to the grouting flow record is determined by continuously adjusting a goodness-of-fit index (such as goodness-of-fit, root mean square error, etc.); second, the mean and standard deviation are extracted from the fitted normal distribution model, and the value obtained by dividing the mean by the standard deviation is taken as the grouting flow distribution of the cement slurry control node corresponding to the grouting flow record; and finally, the above steps are repeated to obtain the grouting flow distribution of the cement slurry control node corresponding to the remaining grouting flow records. In other embodiments, other methods can also be used for implementation, which will not be described here.

[0044] It should be noted that the grouting flow distribution in the present application represents a parameter that measures the concentration of the flow distribution of the grouting area of the cement slurry control node of the ground grouting station in the cement slurry grouting process.

[0045] In a specific implementation, determining the grouting flow distribution of each cement slurry control node according to the historical grouting flow data can be implemented in the following manner: first, a grouting flow record is selected from the historical grouting flow data, and a normal distribution model is fitted using the grouting flow record; the fitting degree of the normal distribution model to the grouting flow record is determined by continuously adjusting a goodness-of-fit index (such as goodness-of-fit, root mean square error, etc.); second, the mean and standard deviation are extracted from the fitted normal distribution model, and the value obtained by dividing the mean by the standard deviation is taken as the grouting flow distribution of the cement slurry control node corresponding to the grouting flow record; and finally, the above steps are repeated to obtain the grouting flow distribution of the cement slurry control node corresponding to the remaining grouting flow records. In other embodiments, other methods can also be used for implementation, which will not be described here.

[0046] It should be noted that the grouting flow distribution in the present application represents a parameter that measures the concentration of the flow distribution of the grouting area of the cement slurry control node of the ground grouting station in the cement slurry grouting process.

[0047] In some embodiments, the determination of the flow adjustment weight of each cement slurry control node in the out-of-limit state during the cement slurry injection according to the respective flow safety interval and the out-of-limit fluctuation index can be implemented by the following steps: determining a flow dynamic adjustment amount of the cement slurry control node corresponding to each flow safety interval; determining the flow adjustment weight of each cement slurry control node in the out-of-limit state during the cement slurry injection according to the out-of-limit fluctuation index and all flow dynamic adjustment amounts.

[0048] In a specific implementation, the determination of the flow dynamic adjustment amount of the cement slurry control node corresponding to each flow safety interval can be implemented by the following method, that is, selecting a flow safety interval, selecting the minimum injection flow value from all injection flow values above the upper limit of the flow distribution of the flow safety interval, selecting the maximum injection flow value from all injection flow values below the lower limit of the flow distribution of the flow safety interval, subtracting the selected minimum injection flow value from the selected maximum injection flow value, and taking the subtraction result as the flow dynamic adjustment amount of the cement slurry control node corresponding to the flow safety interval. The above steps are repeated to obtain the flow dynamic adjustment amount of the cement slurry control node corresponding to the remaining flow safety interval. In other embodiments, other methods can also be used for implementation, which are not limited here.

[0049] It should be noted that the flow dynamic adjustment amount in the present application represents the adjustment or correction value of the cement slurry flow during the cement slurry injection process. The flow dynamic adjustment amount can be used to adjust the flow control equipment in the cement slurry injection system to ensure the stability and consistency of the flow during the cement slurry injection process.

[0050] In a specific implementation, the determination of the flow adjustment weight of each cement slurry control node in the out-of-limit state during the cement slurry injection according to the out-of-limit fluctuation index and all flow dynamic adjustment amounts can be implemented by the following method, that is, dividing each flow dynamic adjustment amount by the out-of-limit fluctuation index, and taking the division result as the flow adjustment weight of each cement slurry control node in the out-of-limit state during the cement slurry injection. In other embodiments, other methods can also be used for implementation, which are not limited here.

[0051] It should be noted that the flow adjustment weight in the present application is a parameter value of the stability of the cement slurry flow injection distribution in the out-of-limit state. The greater the flow adjustment weight, the lower the stability of the cement slurry flow injection distribution in the out-of-limit state.

[0052] In step 104, the diffusion deviation record of the ground grouting station is extracted from the historical diffusion distance data, and the maximum allowable deviation of the ground grouting station during cement slurry grouting is determined based on the diffusion deviation record, and the grouting adjustment amount of the diffusion distance is determined by all flow adjustment weights and the maximum allowable deviation.

[0053] It should be noted that the diffusion deviation described in the present application represents the difference between the diffusion distances between consecutive times; in specific implementation, for each diffusion distance record in the historical diffusion distance data, first, a diffusion distance record is selected, and the difference between the first diffusion distance value and the second diffusion distance value in the diffusion distance record is used as the diffusion deviation value of the first diffusion distance value in the diffusion distance record, and then the difference between the second diffusion distance value and the third diffusion distance value in the diffusion distance record is used as the diffusion deviation value of the second diffusion distance value in the diffusion distance record, and so on, until the last diffusion distance value, and the diffusion deviation value of the last diffusion distance value is set to 0, secondly, all the diffusion deviation values ​​are sorted in ascending order, and the sequence obtained after sorting is used as the diffusion deviation value sequence of the cement slurry control node corresponding to the diffusion distance record, and then, the above steps are repeated to obtain the diffusion deviation value sequence of the cement slurry control nodes corresponding to the remaining diffusion distance records, and finally, the record composed of all diffusion deviation value sequences is used as the diffusion deviation record of the ground grouting station.

[0054] In some embodiments, reference Figure 3 As shown in FIG. 1 , this figure is a schematic diagram of a process for determining the maximum allowable deviation in some embodiments of the present application. In this embodiment, the maximum allowable deviation of cement slurry grouting at the ground grouting station can be determined based on the diffusion deviation record by the following steps: First, in step 1041, a linear fit is performed on each diffusion deviation value sequence in the diffusion deviation record to obtain a plurality of diffusion deviation value fitting curves; Next, in step 1042, the diffusion derivative extreme values ​​of each diffusion deviation value fitting curve are determined; Then, in step 1043, the maximum allowable deviation of the ground grouting station during cement slurry grouting is determined based on all the diffusion derivative extreme values.

[0055] In a 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, which can be achieved in the following manner, namely: each diffusion deviation value sequence in the diffusion deviation record is fitted using the same linear fitting algorithm, for example, least squares method, polynomial fitting, least squares support vector machine and other fitting algorithms, and all curves obtained by fitting are used as diffusion deviation value fitting curves. In other embodiments, other methods can also be used for implementation, which is not limited here.

[0056] In a specific implementation, the diffusion derivative difference value of each diffusion deviation value fitting curve can be determined by the following method: the derivative of each position on each diffusion deviation value fitting curve is calculated, the maximum derivative and the minimum derivative on each diffusion deviation value fitting curve are subtracted, and the value obtained by the subtraction is taken as the diffusion derivative difference value of the corresponding diffusion deviation value fitting curve.

[0057] It should be noted that the diffusion derivative difference value reflects the change rate of the diffusion deviation in the cement slurry grouting process, and the larger the diffusion derivative difference value, the faster the diffusion deviation changes, and the smaller the diffusion derivative difference value, the slower the diffusion deviation changes.

[0058] In a specific implementation, the maximum allowable deviation of the ground grouting station during cement slurry grouting can be determined according to all diffusion derivative difference values by the following method: the maximum diffusion derivative difference value and the minimum diffusion derivative difference value are selected from all diffusion derivative difference values, the maximum diffusion derivative difference value and the minimum diffusion derivative difference value are subtracted, and the value obtained by the subtraction is taken as the maximum allowable deviation of the ground grouting station during cement slurry grouting. In other embodiments, other methods can also be used to achieve this, which will not be described here.

[0059] It should be noted that the maximum allowable deviation represents the maximum deviation change range allowed between the actual diffusion distance and the target diffusion distance, and the maximum allowable deviation can ensure that the actual diffusion distance can fluctuate within a certain range during the cement slurry grouting process, without causing quality problems or grouting interruption.

[0060] In some embodiments, the grouting adjustment amount of the diffusion distance can be determined by all flow adjustment weights and the maximum allowable deviation by the following steps: determine the out-of-bound correction amplitude of the ground grouting station according to all flow adjustment weights; determine the grouting adjustment amount of the diffusion distance by the out-of-bound correction amplitude and the maximum allowable deviation.

[0061] In a specific implementation, the out-of-bound correction amplitude of the ground grouting station can be determined according to all flow adjustment weights by the following method: first, all flow adjustment weights are normalized, and each normalized value is taken as an out-of-bound state distribution standard value; second, the maximum out-of-bound state distribution standard value and the minimum out-of-bound state distribution standard value are selected from all out-of-bound state distribution standard values, the maximum out-of-bound state distribution standard value and the minimum out-of-bound state distribution standard value are subtracted, the natural logarithm base of the value obtained by the subtraction is taken, and the value obtained after the natural logarithm base is taken is taken as the out-of-bound correction amplitude of the ground grouting station.

[0062] It should be noted that the out-of-bound correction amplitude is a measure of the degree of deviation of the out-of-bound state from the expected value in the cement slurry grouting process. The reflection indicates the degree of abnormality or deviation in the grouting process. The greater the out-of-bound correction amplitude, the more serious the deviation of the out-of-bound state.

[0063] In a specific implementation, the grouting adjustment amount of the diffusion distance determined by the out-of-bound correction amplitude and the maximum allowable deviation can be implemented in the following manner: multiplying the out-of-bound correction amplitude and the maximum allowable deviation, and taking the value obtained after multiplication as the grouting adjustment amount of the diffusion distance. In other embodiments, other methods can also be used for implementation, which are not limited here.

[0064] It should be noted that the grouting adjustment amount in the present application represents an adjustment according to the change of the system state or input parameter to ensure that a certain process or system normally operates within a certain boundary. The grouting adjustment amount is used to adjust the parameters of the grouting equipment to keep the grouting parameters within the predetermined boundary range.

[0065] In step 105, during cement slurry grouting, the diffusion distance of each cement slurry control node in the ground grouting station is adjusted based on the grouting adjustment amount.

[0066] In some embodiments, during cement slurry grouting, the diffusion distance of each cement slurry control node in the ground grouting station can be adjusted based on the grouting adjustment amount in the following steps: determining the constraint coefficient of each cement slurry control node in the ground grouting station based on the pre-trained constraint model and the grouting adjustment amount; adjusting the diffusion distance of each cement slurry control node in the ground grouting station through all the constraint coefficients.

[0067] In a specific implementation, the constraint coefficient 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 manner: first, taking the grouting adjustment amount as the constraint parameter of the cement slurry control in the constraint model, for each cement slurry control node in the ground grouting station, taking the diffusion distance of the cement slurry control node as the constraint object of the constraint model, and taking the output result of the constraint model as the constraint coefficient of the cement slurry control node. In this way, the constraint coefficient of each cement slurry control node in the ground grouting station can be obtained. In other embodiments, other methods can also be used for implementation, which are not limited here.

[0068] It should be noted that the constraint coefficient in the present application represents the constraint amount for adjusting the cement slurry control node grouting parameter, and the constraint coefficient is used to ensure the uniformity, adhesion and quality stability of the cement slurry during the cement slurry grouting process, thereby improving the quality and efficiency of the cement slurry grouting.

[0069] In a specific implementation, the adjustment of the diffusion distance of each cement slurry control node in the ground grouting station by all constraint coefficients can be implemented in the following manner: a constraint coefficient is selected, if the constraint coefficient is less than 0, the diffusion distance of the cement slurry control node corresponding to the constraint coefficient is increased by a multiple of the same numerical value of the constraint coefficient, if the constraint coefficient is equal to 0, the diffusion distance of the cement slurry control node corresponding to the constraint coefficient is not changed, if the constraint coefficient is greater than 0, the diffusion distance of the cement slurry control node corresponding to the constraint coefficient is reduced by a multiple of the same numerical value of the constraint coefficient, and the above steps are repeated to adjust the diffusion distance of the cement slurry control node corresponding to the remaining constraint coefficients.

[0070] In addition, another aspect of the present application, in some embodiments, the present application provides a control system for a cement slurry underground injection process, referring to Figure 4 the figure is a schematic diagram of an exemplary hardware and / or software of a control system for a cement slurry underground injection process according to some embodiments of the present application, the control system for the cement slurry underground injection process 400 comprises an acquisition module 401, a processing module 402 and an execution module 403, which are described as follows: The acquisition module 401 is mainly used to acquire the diffusion distance record of each cement slurry control node in the ground grouting station during the cement slurry injection, and then obtain the historical diffusion distance data. The processing module 402 is used to extract the grouting out-of-bound record during the grouting of the cement slurry from the historical diffusion distance data by a preset grouting out-of-bound threshold, and determine the out-of-bound fluctuation index of the cement slurry during the grouting according to the grouting out-of-bound record. It should be noted that the processing module 402 is also used to acquire the grouting flow record of the ground grouting station during the cement slurry injection, obtain the historical grouting flow data, determine the flow safety interval of each cement slurry control node during the grouting of the cement slurry from the historical grouting flow data, and then determine the flow adjustment weight of each cement slurry control node in the out-of-bound state during the cement slurry grouting according to the flow safety interval and the out-of-bound fluctuation index. In addition, the processing module 402 is further configured to extract a diffusion deviation record of the ground grouting station from the historical diffusion distance data, and determine a maximum allowable deviation of the ground grouting station when the cement slurry is grouted according to the diffusion deviation record, and determine a grouting adjustment amount of the diffusion distance by all flow adjustment weights and the maximum allowable deviation. The execution module 403 is mainly configured to constrain and adjust the diffusion distance of each cement slurry control node in the ground grouting station based on the grouting adjustment amount when the cement slurry is grouted.

[0071] In addition, the present application further provides a computer device, which comprises a memory and a processor, the memory stores a code, and the processor is configured to acquire the code and execute the above-mentioned control method of the cement slurry underground injection process.

[0072] In some embodiments, referring to Figure 5 The figure is a structural schematic diagram of a computer device applying the control method of the cement slurry underground injection process according to some embodiments of the present application. The control method of the cement slurry underground injection process in the above-mentioned embodiments can be realized by the computer device shown in the figure, which comprises at least one processor 501, a communication bus 502, a memory 503 and at least one communication interface 504. Figure 5

[0073] The processor 501 can be a general central processing unit (CPU), an application specific integrated circuit (ASIC) or one or more for controlling the execution of the control method of the cement slurry underground injection process in the present application.

[0074] The communication bus 502 can be used to transmit information between the above-mentioned components.

[0075] ​The memory 503 can be a read only memory (ROM) or other type of static storage device that can store static information and instructions, a random access memory (RAM) or other type of dynamic storage device that can store information and instructions, an electrically erasable programmable read only memory (EEPROM), a compact disc read only memory (CD ROM) or other optical disk storage, a magnetic disk or other magnetic storage device, or any other medium capable of storing desired program code in the form of instructions or data structures and that can be accessed by a computer, but is not limited to. The memory 503 can exist independently, and is connected to the processor 501 through the communication bus 502. The memory 503 can also be integrated with the processor 501.

[0076] The memory 503 is configured to store program codes for implementing the solutions of the present application, and the processor 501 is configured to control the execution of the program codes. The processor 501 is configured to execute the program codes stored in the memory 503. The program codes can include one or more software modules. The methods described in the above method embodiments can be implemented by the processor 501 and one or more software modules in the program codes in the memory 503.

[0077] The communication interface 504 is configured to communicate with other devices or communication networks, such as an Ethernet, a radio access network (RAN), a wireless local area network (WLAN), etc., using any transceiver-like mechanism.

[0078] In specific implementations, as an example, the computer device can include multiple processors, each of which can be a single CPU processor or a multi-CPU processor. The processor herein can refer to one or more devices, circuits, and / or processing cores for processing data (e.g., computer program instructions).

[0079] The computer device described above can be a general-purpose computer device or a special-purpose computer device. In a specific implementation, the computer device can be a desktop computer, a laptop computer, a network server, a personal digital assistant (PDA), a mobile phone, a tablet computer, a wireless terminal device, a communication device, or an embedded device. The embodiments of the present application do not limit the type of the computer device.

[0080] In addition, the present application also provides a computer readable storage medium, which stores a computer program, and the computer program is executed by a processor to implement the control method of the cement slurry underground injection process.

[0081] To sum up, in the control method and system of the cement slurry underground injection process disclosed by the embodiments of the present application, the diffusion distance records of each cement slurry control node in the ground grouting station are obtained when the cement slurry is injected, and then the historical diffusion distance data is obtained; the grouting out-of-bound record when the grouting cement slurry is injected is extracted from the historical diffusion distance data through a preset grouting out-of-bound threshold, and the out-of-bound fluctuation index of the grouting cement slurry when the grouting is performed is determined according to the grouting out-of-bound record; the grouting flow record of the ground grouting station when the cement slurry is injected is obtained, the historical grouting flow data is obtained, the flow safety interval of each cement slurry control node when the grouting cement slurry is injected is determined through the historical grouting flow data, and then the flow adjustment weight of each cement slurry control node in the out-of-bound state when the cement slurry is grouted is determined according to each flow safety interval and the out-of-bound 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 when the cement slurry is grouted is determined according to the diffusion deviation record, and the grouting adjustment amount of the diffusion distance is determined through all the flow adjustment weights and the maximum allowable deviation; when the cement slurry is grouted, the diffusion distance of each cement slurry control node in the ground grouting station is constrained and adjusted based on the grouting adjustment amount. The scheme of the present application can realize adaptive adjustment of the diffusion distance of the grouting station in the out-of-bound state, thereby improving the stability of the grouting boundary of the grouting station.

[0082] Although the preferred embodiments of the present application have been described, those skilled in the art can make additional changes and modifications to the embodiments once they know the basic inventive concept. Therefore, the appended claims are intended to be interpreted as including all the preferred embodiments and all the changes and modifications falling within the scope of the present application.

[0083] Obviously, those skilled in the art can make various modifications and variations to the present application without departing from the spirit and scope of the present application. Thus, if these modifications and variations of the present application fall within the scope of the claims of the present application and their equivalent technologies, the present application also intends to include these modifications and variations.

Claims

1. A method for controlling a cement slurry underground injection process, characterized in that: The steps include: When cement slurry is injected, the diffusion distance record of each cement slurry control node in the ground grouting station is obtained, and then the historical diffusion distance data is obtained; Extracting grouting cross-boundary records of grouting cement slurry from the historical diffusion distance data using a preset grouting cross-boundary threshold, and determining a cross-boundary fluctuation index of the cement slurry during grouting based on the grouting cross-boundary records; Obtaining a grouting flow rate record of cement slurry injection at a ground grouting station to obtain historical grouting flow rate data, determining a flow rate safety interval for each cement slurry control node during cement slurry injection using the historical grouting flow rate data, and then determining a flow rate regulation weight for each cement slurry control node in an out-of-bounds state during cement slurry injection based on each flow rate safety interval and the out-of-bounds fluctuation index; Extracting diffusion deviation records of the ground grouting station from the historical diffusion distance data, and then determining the maximum allowable deviation of the ground grouting station during cement slurry grouting based on the diffusion deviation records, and determining the grouting adjustment amount of the diffusion distance by using all flow adjustment weights and the maximum allowable deviation; During cement slurry grouting, the diffusion distance of each cement slurry control node in the ground grouting station is constrained and adjusted based on the grouting adjustment amount.

2. The method according to claim 1, wherein Determining the out-of-bounds fluctuation index of the cement slurry during grouting according to the grouting out-of-bounds record specifically includes: Determining the out-of-bounds fluctuation sequence of cement slurry during grouting at the ground grouting station according to the grouting out-of-bounds record; Initialize the boundary state model; An out-of-bounds fluctuation index of cement slurry during grouting is extracted from the out-of-bounds fluctuation sequence based on the boundary state model.

3. The method according to claim 1, wherein The flow safety interval of each cement slurry control node when grouting cement slurry is determined by the historical grouting flow data specifically includes: Extracting a grouting flow differential sequence of a ground grouting station from the historical grouting flow data; Determine the grouting flow distribution of each cement slurry control node according to the historical grouting flow data; Select a grouting flow distribution; Determining the flow distribution upper bound of the cement slurry control node corresponding to the grouting flow distribution according to the grouting flow distribution and the grouting flow difference sequence; Determining the flow distribution lower bound of the cement slurry control node corresponding to the grouting flow distribution through the grouting flow distribution and the grouting flow difference sequence; Then, the interval formed by the flow distribution upper limit and the flow distribution lower limit is used as the flow safety interval of the cement slurry control node corresponding to the grouting flow distribution; Repeat the above steps to obtain the flow safety range of the cement slurry control node corresponding to the remaining grouting flow distribution.

4. The method according to claim 1, wherein Determining the flow regulation weight of each cement slurry control node in the out-of-bounds state during cement slurry grouting according to each flow safety interval and the out-of-bounds fluctuation index specifically includes: Determine the dynamic flow adjustment amount of the cement slurry control node corresponding to each flow safety interval; The flow regulation weight of each cement slurry control node in the out-of-bounds state during cement slurry grouting is determined according to the out-of-bounds fluctuation index and all flow dynamic adjustment amounts.

5. The method according to claim 1, wherein Determining the maximum allowable deviation of cement slurry grouting at the ground grouting station based on the diffusion deviation record specifically includes: performing linear fitting on each diffusion deviation value sequence in the diffusion deviation record to obtain a plurality of diffusion deviation value fitting curves; Determine the diffusion derivative extreme value of each diffusion deviation value fitting curve; The maximum allowable deviation of the ground grouting station during cement slurry grouting is determined based on the extreme values ​​of all diffusion derivatives.

6. The method according to claim 1, wherein The grouting adjustment amount for determining the diffusion distance by using all flow adjustment weights and the maximum allowable deviation specifically includes: Determine the over-boundary correction amplitude of the surface grouting station based on all flow regulation weights; The grouting adjustment amount of the diffusion distance is determined by the out-of-bounds correction amplitude and the maximum allowable deviation.

7. The method according to claim 1, wherein The method of 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: Determining the constraint coefficient of each cement slurry control node in the ground grouting station 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 through all constraint coefficients.

8. A control system for underground cement slurry injection process, characterized in that: include: An acquisition module is used to obtain the diffusion distance record of each cement slurry control node in the ground grouting station when the cement slurry is injected, and then obtain the historical diffusion distance data; a processing module, configured to extract grouting out-of-bounds records of grouting cement slurry from the historical diffusion distance data using a preset grouting out-of-bounds threshold, and determine an out-of-bounds fluctuation index of the cement slurry during grouting based on the grouting out-of-bounds records; The processing module is further configured to obtain a grouting flow record of cement slurry injection at a ground grouting station to obtain historical grouting flow data, determine a flow safety interval for each cement slurry control node during cement slurry injection based on the historical grouting flow data, and further determine a flow regulation weight for each cement slurry control node in an out-of-bounds state during cement slurry injection based on each flow safety interval and the out-of-bounds fluctuation index; The processing module is further configured to extract diffusion deviation records of the ground grouting station from the historical diffusion distance data, determine a maximum allowable deviation of the ground grouting station during cement slurry grouting based on the diffusion deviation records, and determine a grouting adjustment amount for the diffusion distance using 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 when grouting the cement slurry.

9. A computer device comprising a memory and a processor, wherein the memory stores a computer program, wherein: When the processor executes the computer program, the method for controlling the cement slurry underground injection process according to any one of claims 1 to 7 is implemented.

10. A computer-readable storage medium storing a computer program, characterized in that: When the computer program is executed by a processor, the method for controlling the cement slurry underground injection process according to any one of claims 1 to 7 is implemented.

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