Pipe jacking construction grouting method and system based on drag reduction mud exploration data, terminal and medium

Abstract

This application relates to the field of tunnel data processing technology, and discloses a grouting method, system, terminal, and medium for pipe jacking construction based on drag-reducing mud detection data. The grouting method for pipe jacking construction based on drag-reducing mud detection data includes: acquiring detection data and target interval data of drag-reducing mud around the pipe; determining a control strategy for pipe jacking construction based on the detection data and the target interval data; generating grouting control operations for drag-reducing mud during pipe jacking construction based on the control strategy; and executing the drag-reducing mud control operations according to the grouting control operations. This application generates a grouting control strategy by performing real-time data analysis based on the detected drag-reducing mud thickness distribution, thereby determining and executing grouting control operations based on the grouting control strategy to form a stable and uniform lubricating mud sleeve around the pipe, reducing jacking resistance.

Description

Technical Field

[0001] This application relates to the field of tunnel data processing technology, and in particular to a method, system, terminal and medium for grouting in pipe jacking construction based on drag-reducing mud detection data. Background Technology

[0002] With the development of pipe jacking technology, the cross-section of pipes is becoming larger and the jacking distance is becoming longer. For large-section pipe jacking projects, excessive jacking resistance between the pipe and the soil can easily lead to insufficient jacking force, becoming a key constraint on long-distance jacking. At the same time, reducing the jacking resistance between the pipe and the soil helps to reduce the disturbance of pipe jacking construction to the strata and nearby buildings and structures. Usually, injecting drag-reducing mud around the pipe can reduce the frictional resistance between the pipe section and the soil to a certain extent.

[0003] However, because the thickness of the drag-reducing mud around the pipe jacking is difficult to detect accurately, operators often rely on experience to grout during construction, making it difficult to form a stable and uniform lubricating mud sleeve around the pipe jacking, resulting in a significant increase in jacking resistance.

[0004] Therefore, existing technologies still need to be improved and developed. Summary of the Invention

[0005] The main purpose of this application is to provide a grouting method, system, terminal and medium for pipe jacking based on drag-reducing mud detection data, which aims to solve the problem that the thickness of drag-reducing mud around the pipe is difficult to detect during pipe jacking and that workers rely on experience to grout, making it difficult to form a stable and uniform mud sleeve around the pipe, resulting in large jacking resistance.

[0006] The first aspect of this application provides a grouting method for pipe jacking construction based on drag-reducing mud detection data, the method comprising the following steps:

[0007] Acquire detection data and target area data of the drag-reducing mud around the pipe jacking section;

[0008] Based on the detection data and the target interval data, a control strategy for pipe jacking construction is determined;

[0009] The grouting control operation for drag-reducing mud during pipe jacking construction is generated according to the control strategy.

[0010] Perform drag-reducing mud control operations according to the grouting control operations described above.

[0011] Optionally, in one embodiment of this application, the detection data includes the current mud thickness, and the target interval data includes the target mud thickness interval;

[0012] The acquisition of detection data and target area data of the drag-reducing mud around the pipe jacking section specifically includes:

[0013] Determine the target mud thickness range for drag-reducing mud around the pipe jacking pipe, and receive the current mud thickness at each location collected by the drag-reducing mud detection device.

[0014] Optionally, in one embodiment of this application, the control strategy includes a grouting execution strategy and a grouting stop strategy;

[0015] The step of determining the control strategy for pipe jacking construction based on the detection data and the target interval data specifically includes:

[0016] If the current mud thickness is less than the starting value in the target mud thickness range, the position corresponding to the current mud thickness is taken as the insufficient thickness area, and the control strategy for pipe jacking construction is determined to be the grouting execution strategy based on the current mud thickness in the insufficient thickness area.

[0017] If the current mud thickness is within the target mud thickness range, then the position corresponding to the current mud thickness is taken as the reasonable thickness area, and the control strategy for pipe jacking construction is determined to be the grouting stop strategy based on the current mud thickness in the reasonable thickness area.

[0018] If the current mud thickness is greater than the upper limit of the target mud thickness range, the position corresponding to the current mud thickness is taken as the area with excessive thickness, and the control strategy for pipe jacking construction is determined to be the grouting stop strategy based on the current mud thickness of the area with excessive thickness.

[0019] Optionally, in one embodiment of this application, the grouting control operation includes a quantitative grouting command and a grouting shutdown command;

[0020] The grouting control operation for generating drag-reducing mud during pipe jacking construction according to the control strategy specifically includes:

[0021] When the control strategy is a grouting execution strategy, the grouting data corresponding to the insufficient thickness area is calculated based on the current mud thickness and the target mud thickness range, and a quantitative grouting command for drag-reducing mud is generated based on the grouting data.

[0022] When the control strategy is a grouting stop strategy, a grouting shut-off command is generated for the drag-reducing mud in the reasonable thickness region and the excessive thickness region.

[0023] Optionally, in one embodiment of this application, the grouting data includes the amount of grout to be added;

[0024] The step of calculating the grouting data corresponding to the insufficient thickness area based on the current mud thickness and the target mud thickness range specifically includes:

[0025] Obtain the equivalent grouting area of ​​the grouting pipe's effective range in the region of insufficient thickness;

[0026] Based on the equivalent grouting area, the current mud thickness, and the starting value of the target mud thickness range, calculate the amount of grout to be added to the grouting pipe in the insufficient thickness area.

[0027] Optionally, in one embodiment of this application, the step of performing the drag-reducing mud control operation according to the grouting control operation specifically includes:

[0028] In the area of ​​insufficient thickness, perform a quantitative grouting operation of drag-reducing mud according to the quantitative grouting instruction;

[0029] In the areas with reasonable thickness and the areas with excessive thickness, the grouting shutdown operation of the drag-reducing mud is performed according to the grouting shutdown command.

[0030] Optionally, in one embodiment of this application, the step of performing the drag-reducing mud control operation according to the grouting control operation further includes:

[0031] The updated mud thickness is received by the drag-reducing mud detection device in the area of ​​insufficient thickness.

[0032] If the updated mud thickness is less than the starting value of the target mud thickness range, then the updated grouting data is calculated based on the updated mud thickness and the target mud thickness range.

[0033] Based on the updated grouting data, an updated grouting instruction for drag-reducing slurry is generated, and the grouting operation for drag-reducing slurry is performed according to the updated grouting instruction until the updated slurry thickness is within the target slurry thickness range.

[0034] A second aspect of this application also provides a pipe jacking grouting system based on drag-reducing mud detection data, wherein the pipe jacking grouting system based on drag-reducing mud detection data is applied to the pipe jacking grouting method based on drag-reducing mud detection data described in any of the above-mentioned schemes; the pipe jacking grouting system based on drag-reducing mud detection data includes:

[0035] The detection data receiving module is used to acquire detection data and target area data of the drag-reducing mud around the pipe jacking pipe;

[0036] The strategy generation module is used to determine the control strategy for pipe jacking construction based on the detection data and the target interval data;

[0037] The grouting control module is used to generate grouting control operations for drag-reducing mud during pipe jacking construction according to the control strategy.

[0038] The operation execution module is used to perform the control operation of the drag-reducing mud according to the grouting control operation.

[0039] A third aspect of this application also provides a terminal, wherein the terminal includes: a memory, a processor, and a pipe jacking grouting program based on drag-reducing mud detection data stored in the memory and executable on the processor. When the pipe jacking grouting program based on drag-reducing mud detection data is executed by the processor, it implements the steps of the pipe jacking grouting method based on drag-reducing mud detection data as described above.

[0040] A fourth aspect of this application also provides a computer-readable storage medium, wherein the computer-readable storage medium stores a pipe jacking grouting program based on drag-reducing mud detection data, and when the pipe jacking grouting program based on drag-reducing mud detection data is executed by a processor, it implements the steps of the pipe jacking grouting method based on drag-reducing mud detection data as described above.

[0041] Beneficial effects: This application provides a grouting method, system, terminal and medium for pipe jacking based on drag-reducing mud detection data. This application generates a grouting control strategy by performing real-time data analysis based on the thickness distribution of drag-reducing mud obtained from detection. Based on the grouting control strategy, the grouting control operation is determined and executed accordingly to form a stable and uniform lubricating mud sleeve around the pipe, reducing jacking resistance and saving grout materials. Attached Figure Description

[0042] To more clearly illustrate the technical solutions in the embodiments of this application or the prior art, the drawings used in the description of the embodiments or the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments recorded in this application. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0043] Figure 1 This is a schematic diagram of the use of the circular pipe jacking mud detection device in this application;

[0044] Figure 2 This is a cross-sectional view of the rectangular pipe jacking periphery mud detection device used in this application;

[0045] Figure 3 This is a cross-sectional view of the circular pipe jacking mud detection device used in this application;

[0046] Figure 4 This is a flowchart of a preferred embodiment of the pipe jacking grouting method based on drag-reducing mud detection data according to this application;

[0047] Figure 5This is a schematic diagram of the specific implementation steps of the grouting method for pipe jacking based on drag-reducing mud detection data in a preferred embodiment of this application.

[0048] Figure 6 This is a flowchart illustrating the grouting decision-making process in a preferred embodiment of the pipe jacking grouting method based on drag-reducing mud detection data in this application.

[0049] Figure 7 This is a structural diagram of a preferred embodiment of the pipe jacking grouting system based on drag-reducing mud detection data according to this application;

[0050] Figure 8 This is a structural diagram of a preferred embodiment of the terminal of this application.

[0051] Explanation of reference numerals in the attached figures:

[0052] 11. Jacking cylinder; 12. Jacking iron; 13. Jacking pipe section; 14. Tunnel portal sealing ring; 15. Drag-reducing mud; 16. Grouting area A of a single grouting pipe; 17. Grouting pipe; 18. Tail shield; 19. Front shield; 20. Pipe jacking machine; 21. Cutterhead; 22. Ground surface; 23. Stratum; 24. Starting shaft structure; 25. Jacking track; 26. Starting reinforcement soil;

[0053] 27. First grouting pipeline; 28. Second grouting pipeline; 29. ​​Third grouting pipeline; 30. Fourth grouting pipeline; 31. Rectangular pipe section; 32. Mud sleeve; 321. Valve;

[0054] 33. Fifth grouting pipeline; 34. Sixth grouting pipeline; 35. Circular pipe section; 36. Mud sleeve; 361. Valve;

[0055] 100. Detection data receiving module; 200. Strategy generation module; 300. Grouting control module; 400. Operation execution module. Detailed Implementation

[0056] To make the objectives, technical solutions, and effects of this application clearer and more explicit, the technical solutions in the embodiments of this application will be clearly and completely described below with reference to the accompanying drawings. The described embodiments are only possible technical implementations of this application and not all possible implementations. Based on the embodiments in this application, those skilled in the art can obtain other embodiments without creative effort, and these embodiments are also within the protection scope of this application.

[0057] In related technologies, the thickness and pressure of the drag-reducing slurry around the pipe can be directly detected. However, there is currently no intelligent grouting and replenishment system based on real-time detection of the slurry thickness and pressure around the pipe. In related technologies, there is usually only one grouting pipeline for drag-reducing slurry around the pipe, which makes it difficult to precisely control the grouting pressure and flow rate of each grouting pipe. Since the water and soil pressure around the pipe increases linearly with the burial depth, there are significant differences in the theoretical grouting pressure of the top plate, sidewalls, and bottom plate of the pipe. Therefore, it is difficult to accurately control the grouting pressure of each grouting hole using a single grouting pipeline, resulting in uneven distribution of slurry around the pipe and difficulty in forming a uniform slurry sleeve. At the same time, a single grouting pipeline cannot independently control the grouting volume of different grouting pipes, making it impossible to accurately replenish grout at different locations, resulting in unsatisfactory replenishment effects. In related technologies, digital twin models are used to determine the target grouting parameters and target grouting replenishment parameters during pipe jacking construction, enabling autonomous decision-making and dynamic optimization of grouting. However, this method uses a mud performance monitoring module to collect real-time pressure data of the injected drag-reducing mud and the outside of the pipe wall. The pressure monitored on the outside of the pipe section may be the formation pressure, which cannot reflect the mud pressure distribution state, and it cannot obtain the thickness distribution law of the drag-reducing mud around the pipe. Therefore, it is difficult to provide scientific guidance for grouting drag reduction.

[0058] This application addresses the technical challenge of intelligent and precise grouting and replenishment based on the actual state of the drag-reducing mud around the pipe during pipe jacking construction. Based on drag-reducing mud thickness and pressure data obtained from a drag-reducing mud detection device, an intelligent decision-making and control system is constructed, driven by real-time drag-reducing mud data. Through data analysis programs, the theoretical grouting volume and pressure for each grouting pipe are calculated, achieving a fundamental shift from "experience-based grouting" to "quantitative and precise grouting" and "intelligent grouting." This significantly improves the timeliness and accuracy of drag-reducing mud grouting, maximizing the conservation of grout materials while ensuring the formation of an ideal mud sleeve and significantly reducing jacking resistance. It also minimizes ground disturbance during grouting construction and enhances the intelligence level of pipe jacking construction.

[0059] The technical solutions of this application will be described in detail below with specific embodiments. The following specific embodiments can be combined with each other, and the same or similar concepts or processes may not be described again in some embodiments.

[0060] First, the system architecture of the grouting system (intelligent grouting system) for pipe jacking construction according to the embodiments of this application is introduced. The intelligent grouting system, driven by real-time detection data of drag-reducing mud, includes a drag-reducing mud detection module, a wireless data transmission module, a data storage and analysis module, an intelligent decision-making module, and a grouting control module. The grouting control module includes grouting pressure control and grouting volume control modules. It can perform real-time data analysis and intelligent grouting decisions based on the detected thickness distribution of drag-reducing mud around the pipe, and send instructions to the grouting control module. Based on the mud pressure and thickness detection data around the pipe, it precisely controls the grouting pressure and grouting volume of different grouting pipes, performing refined intelligent grouting.

[0061] Specifically, Figure 1 This is a schematic diagram illustrating the use of a circular pipe jacking slurry detection device. Figure 2 A schematic diagram showing the use of a rectangular pipe jacking slurry detection device. Figure 3 This is a schematic diagram illustrating the use of a mud detection device around a circular pipe jacking unit. (See also...) Figure 1 A launching shaft structure 24 is provided in the stratum 23 below the ground surface 22. A jacking track 25 is provided inside the launching shaft structure 24, and one side of the jacking track 25 ( Figure 1 (On the right) is the starting reinforced soil 26. A tunnel boring machine (TBM) is installed on the jacking track 25. A jacking cylinder 11 is installed on the left end wall of the starting reinforced shaft. The right end of the jacking cylinder 11 abuts against the jacking iron 12. Multiple jacking pipe sections 13 (which can be circular or rectangular) are installed between the jacking iron 12 and the jacking machine 20 (including the tail shield 18 and the front shield 19). A portal sealing ring 14 is installed on the inner wall of the portal on the left side of the starting reinforced soil 26. Between the left end face of the portal sealing ring 14 and the last end (the left end of the tail shield 18), drag-reducing mud 15 is located on the outer wall of the jacking pipe section 13. Figure 1 The rectangular frame contains the grouting area A16 of a single grouting pipe. Grouting pipe 17 is installed on the jacking pipe section 13, and cutterhead 21 is provided on the right side of the front shield 19.

[0062] See Figure 2 When the jacking pipe section is a rectangular pipe section 31, the rectangular pipe section 31 is provided with a first grouting pipe 27, a second grouting pipe 28, a third grouting pipe 29, and a fourth grouting pipe 30. Outside the rectangular pipe section 31 are friction-reducing mud 15 and mud sleeve 32 in sequence. Each grouting pipe is provided with a corresponding valve 321.

[0063] See Figure 3 When the jacking pipe section is a circular pipe section 35, the circular pipe section 35 is provided with a fifth grouting pipe 33 and a sixth grouting pipe 34. Outside the circular pipe section 35 are friction-reducing mud 15 and mud sleeve 36 in sequence. Each grouting pipe is provided with a corresponding valve 361.

[0064] The drag-reducing mud thickness and pressure data detected by the drag-reducing mud detection device are the main input sources for the intelligent grouting system. The intelligent grouting system includes: a data storage analysis and intelligent decision-making module, which is a computing device deployed on a server or cloud. This module receives and stores the drag-reducing mud thickness and pressure data, along with their spatial coordinates, transmitted wirelessly by the drag-reducing mud detection device in real time. It also uses a built-in intelligent grouting decision-making module to convert data into instructions. A grouting volume decision-making submodule is configured to execute the following logic: compare the real-time detected mud thickness h with a preset target mud thickness range [h1, h2], where h1 is the minimum value of the thickness range and h2 is the maximum value of the thickness range; if h... If h2 (thickness is too large), a command to close the grouting valve at that location is generated; if h1 ≤ h ≤ h2 (thickness is reasonable), a command to maintain the current state of the valve is generated. The grouting pressure decision submodule is configured to dynamically calculate and output the grouting pressure setpoint pj = p + Δp for each grouting pipeline based on the real-time detected drag-reducing slurry pressure p. Here, p is the real-time detected drag-reducing slurry pressure, and Δp is the pressure increment. The initial value is 5kPa-10kPa to reduce disturbance during grouting construction, and can be adjusted later based on the actual grouting effect. To improve efficiency, the system adopts a strategy of grouping grouting pipelines by elevation to design pressure, ensuring that pipelines at different burial depths receive matching grouting pressures.<h1>

[0065] The distributed precision grouting control module serves as the system's execution endpoint, comprising a grouting pump, distributed intelligent grouting valves, and a local controller. Its function is to receive instructions from the intelligent decision-making module and execute them precisely: injecting a calculated amount of grout into a designated grouting pipe at the calculated grouting pressure. The intelligent grouting valves integrate flow metering, recording and reporting the cumulative grouting flow in real time. When the flow reaches the target grouting volume, the valves automatically close, thus achieving precise quantitative control of the grouting volume.

[0066] The grouting system of this application verifies the effect of the grouting in the area after grouting by restarting the drag-reducing mud detection device, checking whether the mud thickness has reached the target range. If it does not meet the target, the system automatically initiates a new round of decision-making and execution processes for supplementary grouting. If it meets the target, the current control cycle is completed. Through the synergy of the above modules, this application forms an intelligent closed loop of "perception-decision-execution-verification" driven by direct mud state data, achieving precision and automation of the grouting process.

[0067] The preferred embodiment of this application describes a pipe jacking grouting method based on drag-reducing mud detection data, such as... Figure 4 As shown, the grouting method for pipe jacking based on drag-reducing mud detection data includes the following steps:

[0068] In step S101, the detection data of the drag-reducing mud around the pipe jacking and the target area data are obtained.

[0069] It should be noted that in this application, the difference between the detected mud thickness and the target mud thickness is calculated, and multiplied by the coverage area of ​​each grouting pipe to obtain the grouting volume of each grouting pipe. Based on the detected mud pressure, the grouting pressure of each grouting pipe is accurately calculated. The grouting pressure is usually slightly greater than the formation pressure (which increases linearly with burial depth). Therefore, the grouting pipelines around the jacking pipe are designed in groups according to height to improve the efficiency of grouting pressure control. Intelligent grouting valves configured in each grouting pipe can record the grouting flow rate in real time. When the flow rate reaches the target grouting volume, the valve is closed to achieve precise control of the grouting volume. This method can achieve closed-loop control of mud state perception—data analysis—precise grouting, significantly improving grouting accuracy and efficiency, saving drag-reducing mud consumption, and reducing disturbance to the formation caused by excessive grouting pressure and volume.

[0070] In one possible implementation, the detection data includes the current mud thickness, and the target interval data includes a target mud thickness interval. The target mud thickness interval for the drag-reducing mud around the pipe jacking perimeter is determined, and the current mud thickness at each location is received from the drag-reducing mud detection device.

[0071] Specifically, see Figure 5 and Figure 6 Data acquisition and status visualization are performed by collecting mud pressure and thickness data in real time through a drag-reducing mud detection device and generating a three-dimensional spatial distribution cloud map. On the display screen, the grouting valve in the area with reasonable slurry thickness is displayed in green, the grouting valve in the area with excessive slurry thickness is displayed in red, and the grouting valve in the area with insufficient slurry thickness is displayed in orange, so as to visualize the status of the mud jacket.

[0072] In step S102, the control strategy for pipe jacking construction is determined based on the detection data and the target interval data.

[0073] In one possible implementation, the control strategy includes a grouting execution strategy and a grouting stop strategy. If the current grout thickness is less than the starting value in the target grout thickness range, the position corresponding to the current grout thickness is designated as a thickness deficiency area, and the control strategy for pipe jacking construction is determined to be a grouting execution strategy based on the current grout thickness in the thickness deficiency area. If the current grout thickness is within the target grout thickness range, the position corresponding to the current grout thickness is designated as a thickness reasonable area, and the control strategy for pipe jacking construction is determined to be a grouting stop strategy based on the current grout thickness in the thickness reasonable area. If the current grout thickness is greater than the upper limit value in the target grout thickness range, the position corresponding to the current grout thickness is designated as a thickness excess area, and the control strategy for pipe jacking construction is determined to be a grouting stop strategy based on the current grout thickness in the thickness excess area.

[0074] Specifically, see Figure 6 Intelligent decision-making is performed based on the three-dimensional distribution cloud map and real-time data. The following decision logic is executed: grouting volume decision: for each grouting pipe coverage area, the corresponding real-time mud thickness h is obtained, the relationship between h and the target mud thickness interval [h1, h2] is determined, and the control strategy is determined to be a grouting stop strategy or a grouting execution strategy based on the relationship.

[0075] In step S103, the grouting control operation for drag-reducing mud during pipe jacking is generated according to the control strategy.

[0076] In one possible implementation, the grouting control operation includes a quantitative grouting command and a grouting shutdown command. When the control strategy is a grouting execution strategy, grouting data corresponding to the insufficient thickness area is calculated based on the current mud thickness and the target mud thickness range, and a quantitative grouting command for drag-reducing mud is generated based on the grouting data; when the control strategy is a grouting stop strategy, grouting shutdown commands for drag-reducing mud in the reasonable thickness area and the excessive thickness area are generated.

[0077] In one possible implementation, the grouting data includes the amount of grout to be added. The equivalent grouting area of ​​the grouting pipe's effective range in the insufficient thickness region is obtained; based on the equivalent grouting area, the current mud thickness, and the starting value of the target mud thickness range, the amount of grout to be added corresponding to the grouting pipe in the insufficient thickness region is calculated.

[0078] Specifically, see Figure 6 Perform parameter calculations and accurately calculate the amount of grouting to be added according to the formula V=α(h1-h)A, or generate valve closing / maintenance commands; Grouting pressure decision: Calculate and set the target grouting pressure value (grouting pressure setting value) for each grouting pipeline (group) based on the real-time mud pressure distribution, pj=p+Δp.

[0079] In step S104, the drag-reducing mud control operation is performed according to the grouting control operation.

[0080] In one possible implementation, a quantitative grouting operation of drag-reducing mud is performed in the region of insufficient thickness according to the quantitative grouting command; and a grouting shutdown operation of drag-reducing mud is performed in the region of reasonable thickness and the region of excessive thickness according to the grouting shutdown command.

[0081] In one possible implementation, the updated mud thickness collected by the drag-reducing mud detection device in the insufficient thickness area is received; if the updated mud thickness is less than the starting value of the target mud thickness range, updated grouting data is calculated based on the updated mud thickness and the target mud thickness range; an updated grouting command for drag-reducing mud is generated based on the updated grouting data, and the grouting operation of drag-reducing mud is performed according to the updated grouting command until the updated mud thickness is within the target mud thickness range.

[0082] Specifically, precise grouting and effect verification are performed. During precise grouting, the grouting system receives instructions and controls the corresponding grouting pumps and intelligent grouting valves to inject the calculated amount of grout into the designated area at a set pressure. The valves automatically close when the cumulative flow reaches the target value. During the grouting effect verification process, the drag-reducing mud detection device is restarted for verification. If the mud thickness does not meet the standard, supplementary grouting is performed; if it meets the standard, the current cycle is completed. This application achieves a closed loop from "sensing" to "control," ensuring the uniformity and stability of the mud sleeve during pipe jacking construction.

[0083] This application significantly improves the precision and intelligence of grouting for drag reduction in pipe jacking construction. During the grouting process, from data acquisition and analysis to grouting automation and intelligence, this application greatly reduces the reliance on operator experience, eliminates the uncertainty and lag of human judgment, and improves the intelligence level of drag reduction grouting. This application revolutionizes the extensive grouting mode that relies on manual experience or indirect parameters. By driving precise grouting control decisions through real-time sensed grout thickness data, it achieves closed-loop control of "sensing-analysis-execution." Based on the grout thickness distribution, it can accurately calculate the required quantitative grouting volume (V=α(h1-h)A) for each grouting pipe and precisely set the zonal grouting pressure according to the grout pressure distribution. This transforms the formation of a uniform grout sleeve around the pipe from "uncontrollable" to "controllable," facilitating the maintenance of a uniform and stable ideal grout sleeve thickness during construction, thereby minimizing jacking resistance and reducing disturbance to the formation.

[0084] This application also saves materials and energy, achieving green and economical construction. Through precise quantitative control of "grouting on demand, replenishing only what is needed," it completely avoids the waste of grout caused by excessive grouting in traditional grouting, directly reducing construction material costs. Due to the formation of an effective lubricating mud sleeve, the jacking resistance is significantly reduced, resulting in a significant reduction in the power consumption of the jacking equipment (main jacking cylinder, relay room), achieving energy saving and consumption reduction. At the same time, precise control prevents the ineffective diffusion of grout to distant strata, reducing pollution to the surrounding environment and meeting the requirements of green construction.

[0085] This application reduces construction disturbance, effectively protects adjacent buildings and structures, and lowers construction risks. Traditional experience-based grouting is prone to excessive grouting pressure due to uncontrolled pressure and flow, which can fracturing the strata, causing surface uplift, or damaging adjacent structures. This application, by monitoring mud pressure in real time and controlling the grouting pressure accordingly, can keep the grouting pressure within a safe range, greatly reducing the risk of ground disturbance. By maintaining a uniform mud sleeve, direct contact between the pipe section and the soil and uneven stress are avoided, which helps control surface settlement and is particularly suitable for construction in settlement-sensitive urban centers.

[0086] The specific implementation of this application will be described below with reference to a specific application scenario.

[0087] Step K1: System installation and parameter preset.

[0088] Based on the installation, commissioning, and spatial coordinate calibration of the drag-reducing mud detection device, the system is deployed. Deployment of the intelligent grouting actuator: Connect the intelligent grouting valves of the distributed precision grouting execution module to the pre-reserved grouting holes on the jacking pipe section, ensuring each valve has an independent control address. Connect the grouting pump to each grouting pipeline. Connection and configuration: Connect the grouting control system to the data storage and analysis system and the intelligent decision-making center via a network to complete system configuration and ensure unimpeded command channels. Preset core parameters: Set the following key parameters in the intelligent decision-making center: Target mud thickness range [h1, h2]: For example, set h1=10mm (minimum allowable thickness), h2=25mm (ideal upper limit thickness). Equivalent grouting area A: Calculate the equivalent area of ​​each grouting pipe's effective range based on the grouting hole spacing, for example, A=2.0m². Grouting coefficient α: Based on the formation permeability, set α=1.08 to cover grout loss. Target grout pressure: During the first grouting, the initial grouting pressure of each grouting hole is set to the sum of the theoretical value of the soil and water pressure at the burial depth of the grouting hole and 10 kPa. For example, the target pressure for the top pipeline group is 0.2 MPa, the middle is 0.3 MPa, and the bottom is 0.4 MPa. The remaining grouting pressure settings pj are calculated based on the pressure value p obtained by the grout detection device, pj=p+Δp, where the initial value is 5-10 kPa to reduce the disturbance during grouting construction. It can be adjusted later according to the actual grouting effect.

[0089] Step K2: Initial jacking and data-driven grouting start.

[0090] After removing the entrance to the starting shaft, the rectangular pipe jacking machine head and the first ring of pipe sections were jacked into the formation. After the pipe sections were jacked into the formation, the system started automatically and entered the first control cycle.

[0091] Step K21, see Figure 5 Data acquisition: The wireless data transmission and storage module receives and stores the initial mud thickness h and pressure data p from all drag-reducing mud detection devices in real time.

[0092] Step K22, Data Analysis and Display: Compare the mud thickness with the target mud thickness range [h1, h2]. If h < h1, it indicates that the drag-reducing mud thickness is insufficient, and the grouting valve on the display screen will be displayed in green. If h ∈ [h1, h2], it indicates that the drag-reducing mud thickness is reasonable, and the grouting valve on the display screen will be displayed in green. If h > h2, it indicates that the mud thickness is too large, and the grouting valve on the display screen will be displayed in red to visualize the mud jacket status.

[0093] Step K23, see Figure 6Intelligent Decision-Making: The intelligent decision-making module runs a program that, upon determining that the thickness of the drag-reducing slurry around the first ring pipe section is approximately 0 mm (much less than h1), immediately generates the first batch of "start grouting" commands. The grouting volume and grouting pressure are calculated based on the built-in formulas in the program. Simultaneously, the corresponding target grouting pressure is assigned to each grouting pipeline.

[0094] Step K24, Precision Grouting: The grouting control system receives the command, starts the grouting pump, and opens the corresponding intelligent grouting valve according to the set pressure. The valve's built-in flow meter begins metering, and the valve automatically closes when the cumulative grouting volume reaches the target value.

[0095] Step K3: Closed-loop control and dynamic optimization.

[0096] After a grouting operation is completed, the system automatically enters the effect verification stage; the detection device is activated again to detect the grouting area.

[0097] Scenario 1 (Most Area): Detection data shows that the mud thickness has reached 20mm (i.e., within the [h1, h2] interval). The intelligent decision-making module generates a "stay still" command, and this area will not be grouted again in this cycle.

[0098] Scenario 2 (Locally Weak Area): Detection data shows that the mud thickness at a certain point is only 5mm (still less than h1). The decision module immediately initiates a supplementary grouting procedure, calculates the new grouting volume, and instructs the valves in that area to reopen until the target value is reached, then closes them.

[0099] Pressure monitoring and adjustment: The system continuously compares the measured grout pressure with the target pressure. If the pressure in a certain pipeline remains low, the decision module will fine-tune and increase its grouting pressure setpoint to ensure that the grout can effectively fill the pipeline.

[0100] Step K4: Pipe section jacking and circulation operation.

[0101] Install the second ring of concrete pipe sections for jacking. Repeat the closed-loop control process of "real-time perception - data visualization - intelligent decision-making - precise grouting - verification" from K1 to K4. During the jacking process, the system continuously monitors and replenishes grout in real time based on the real-time detection of the slurry distribution around the pipe, ensuring that the slurry sleeve remains intact and uniform throughout the long-distance jacking.

[0102] Step K5: Construction completion and equipment recovery.

[0103] After the entire pipe jacking project is completed, the intelligent grouting system will be shut down first. Then, the drag-reducing mud detection device will be dismantled. Finally, the intelligent grouting valves and control system will be dismantled; all equipment can be reused in subsequent projects.

[0104] Next, referring to the accompanying drawings, the pipe jacking grouting system based on drag-reducing mud detection data proposed in the embodiments of this application is applied to the pipe jacking grouting method based on drag-reducing mud detection data in any of the above schemes.

[0105] Figure 7 This is a structural diagram of a pipe jacking grouting system based on drag-reducing mud detection data, according to an embodiment of this application.

[0106] like Figure 7 As shown, the grouting system for pipe jacking based on drag-reducing mud detection data includes: a detection data receiving module 100, a strategy generation module 200, a grouting control module 300, and an operation execution module 400.

[0107] Specifically, the detection data receiving module 100 is used to acquire detection data and target area data of the drag-reducing mud around the pipe jacking pipe;

[0108] The strategy generation module 200 is used to determine the control strategy for pipe jacking construction based on the detection data and the target interval data.

[0109] Grouting control module 300 is used to generate grouting control operations for drag-reducing mud during pipe jacking construction according to the control strategy.

[0110] The operation execution module 400 is used to perform the control operation of the drag-reducing mud according to the grouting control operation.

[0111] Figure 8 A structural diagram of a terminal provided in an embodiment of this application. The terminal may include:

[0112] The memory 501, the processor 502, and the computer program stored on the memory 501 and capable of running on the processor 502.

[0113] When the processor 502 executes the program, it implements the pipe jacking grouting method based on drag-reducing mud detection data provided in the above embodiments.

[0114] Furthermore, the terminal also includes:

[0115] Communication interface 503 is used for communication between memory 501 and processor 502.

[0116] The memory 501 is used to store computer programs that can run on the processor 502.

[0117] Memory 501 may include high-speed RAM memory, and may also include non-volatile memory, such as at least one disk storage device.

[0118] If the memory 501, processor 502, and communication interface 503 are implemented independently, then the communication interface 503, memory 501, and processor 502 can be interconnected via a bus to complete communication between them. The bus can be an Industry Standard Architecture (ISA) bus, a Peripheral Component Interconnect (PCI) bus, or an Extended Industry Standard Architecture (EIS) bus, etc. Buses can be categorized as address buses, data buses, control buses, etc. For ease of representation, Figure 4 The bus is represented by a single thick line, but this does not mean that there is only one bus or one type of bus.

[0119] Optionally, in a specific implementation, if the memory 501, processor 502, and communication interface 503 are integrated on a single chip, then the memory 501, processor 502, and communication interface 503 can communicate with each other through an internal interface.

[0120] Processor 502 may be a central processing unit (CPU), an application specific integrated circuit (ASIC), or one or more integrated circuits configured to implement the embodiments of this application.

[0121] This embodiment also provides a computer-readable storage medium storing a computer program that, when executed by a processor, implements the above-described grouting method for pipe jacking based on drag-reducing mud detection data.

[0122] One embodiment of this application provides a computer program product, including a computer program that, when executed by a processor, implements the features described in this application. Figure 7 The grouting method for pipe jacking based on drag-reducing mud detection data provided in any of the corresponding embodiments.

[0123] In the description of this specification, the references to terms such as "one embodiment," "some embodiments," "example," "specific example," or "some examples," etc., indicate that a specific feature, structure, material, or characteristic described in connection with that embodiment or example is included in at least one embodiment or example of this application. In this specification, the illustrative expressions of the above terms do not necessarily refer to the same embodiment or example. Furthermore, the specific features, structures, materials, or characteristics described may be combined in any suitable manner in one or more embodiments or examples. Moreover, without contradiction, those skilled in the art can combine and integrate the different embodiments or examples described in this specification, as well as the features of different embodiments or examples.

[0124] Furthermore, the terms "first" and "second" are used for descriptive purposes only and should not be construed as indicating or implying relative importance or implicitly specifying the number of technical features indicated. Thus, a feature defined as "first" or "second" may explicitly or implicitly include at least one of that feature. In the description of this application, "N" means at least two, such as two, three, etc., unless otherwise explicitly specified.

[0125] Any process or method described in the flowchart or otherwise herein can be understood as representing a module, segment, or portion of code comprising one or N executable instructions for implementing custom logic functions or processes, and the scope of the preferred embodiments of this application includes additional implementations in which functions may be performed not in the order shown or discussed, including substantially simultaneously or in reverse order depending on the functions involved, as should be understood by those skilled in the art to which embodiments of this application pertain.

[0126] The logic and / or steps represented in the flowchart or otherwise described herein, for example, can be considered as a sequenced list of executable instructions for implementing logical functions, and can be embodied in any computer-readable storage medium for use by, or in conjunction with, an instruction execution system, apparatus, or device (such as a computer-based system, a processor-included system, or other system that can fetch and execute instructions from, an instruction execution system, apparatus, or device). For the purposes of this specification, "computer-readable storage medium" can be any means that can contain, store, communicate, propagate, or transmit programs for use by, or in conjunction with, an instruction execution system, apparatus, or device. More specific examples (a non-exhaustive list) of computer-readable storage media include: an electrical connection having one or more wires (electronic device), a portable computer disk drive (magnetic device), random access memory (RAM), read-only memory (ROM), erasable and editable read-only memory (EPROM or flash memory), fiber optic devices, and portable optical disc read-only memory (CDROM). Alternatively, the computer-readable storage medium could be paper or other suitable media on which the program can be printed, since the program can be obtained electronically by optically scanning the paper or other medium, followed by editing, interpreting, or otherwise processing as necessary, and then stored in a computer memory.

[0127] It should be understood that the various parts of this application can be implemented using hardware, software, firmware, or a combination thereof. In the above embodiments, the N steps or methods can be implemented using software or firmware stored in memory and executed by a suitable instruction execution system. For example, if implemented in hardware as in another embodiment, it can be implemented using any one or a combination of the following techniques known in the art: discrete logic circuits having logic gates for implementing logical functions on data signals, application-specific integrated circuits (ASICs) having suitable combinational logic gates, programmable gate arrays (PGAs), field-programmable gate arrays (FPGAs), etc.

[0128] Those skilled in the art will understand that all or part of the steps of the methods described in the above embodiments can be implemented by a program instructing related hardware. The program can be stored in a computer-readable storage medium, and when executed, it includes one or a combination of the steps of the method embodiments.

[0129] Furthermore, the functional units in the various embodiments of this application can be integrated into a processing module, or each unit can exist physically separately, or two or more units can be integrated into a module. The integrated module can be implemented in hardware or as a software functional module. If the integrated module is implemented as a software functional module and sold or used as an independent product, it can also be stored in a computer-readable storage medium.

[0130] The storage medium mentioned above can be a read-only memory, a disk, or an optical disk, etc. Although embodiments of this application have been shown and described above, it is understood that the above embodiments are exemplary and should not be construed as limiting this application. Those skilled in the art can make changes, modifications, substitutions, and variations to the above embodiments within the scope of this application.

[0131] It should be understood that the application of this application is not limited to the examples above. Those skilled in the art can make improvements or modifications based on the above description, and all such improvements and modifications should fall within the protection scope of the appended claims.

[0132] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of this application, and are not intended to limit them. Although this application has been described in detail with reference to the foregoing embodiments, those skilled in the art should understand that modifications can still be made to the technical solutions described in the foregoing embodiments, or equivalent substitutions can be made to some or all of the technical features therein. Such modifications or substitutions do not cause the essence of the corresponding technical solutions to deviate from the scope of the technical solutions of the embodiments of this application.

Claims

1. A pipe jacking grouting method based on drag reduction mud slurry detection data, characterized in that, The grouting method for pipe jacking construction based on drag-reducing mud detection data includes: Acquire detection data and target area data of the drag-reducing mud around the pipe jacking section; Based on the detection data and the target interval data, a control strategy for pipe jacking construction is determined; The grouting control operation for drag-reducing mud during pipe jacking construction is generated according to the control strategy. Perform drag-reducing mud control operations according to the grouting control operations described above; The detection data includes the current mud thickness, and the target interval data includes the target mud thickness interval; The acquisition of detection data and target area data of the drag-reducing mud around the pipe jacking section specifically includes: Determine the target mud thickness range for drag-reducing mud around the pipe jacking pipe, and receive the current mud thickness at each location collected by the drag-reducing mud detection device. The control strategy includes a grouting execution strategy and a grouting stop strategy; The step of determining the control strategy for pipe jacking construction based on the detection data and the target interval data specifically includes: If the current mud thickness is less than the starting value in the target mud thickness range, the position corresponding to the current mud thickness is taken as the insufficient thickness area, and the control strategy for pipe jacking construction is determined to be the grouting execution strategy based on the current mud thickness in the insufficient thickness area. If the current mud thickness is within the target mud thickness range, then the position corresponding to the current mud thickness is taken as the reasonable thickness area, and the control strategy for pipe jacking construction is determined to be the grouting stop strategy based on the current mud thickness in the reasonable thickness area. If the current mud thickness is greater than the upper limit of the target mud thickness range, then the position corresponding to the current mud thickness is taken as the area with excessive thickness, and the control strategy for pipe jacking construction is determined to be the grouting stop strategy based on the current mud thickness of the area with excessive thickness. The grouting control operation includes a quantitative grouting command and a grouting shutdown command; The grouting control operation for generating drag-reducing mud during pipe jacking construction according to the control strategy specifically includes: When the control strategy is a grouting execution strategy, the grouting data corresponding to the insufficient thickness area is calculated based on the current mud thickness and the target mud thickness range, and a quantitative grouting command for drag-reducing mud is generated based on the grouting data. When the control strategy is a grouting stop strategy, a grouting shut-off command is generated for the drag-reducing mud in the reasonable thickness area and the thicker thickness area. The grouting data includes the amount of grout to be added; The step of calculating the grouting data corresponding to the insufficient thickness area based on the current mud thickness and the target mud thickness range specifically includes: Obtain the equivalent grouting area of ​​the grouting pipe's effective range in the region of insufficient thickness; Based on the equivalent grouting area, the current mud thickness, and the starting value of the target mud thickness range, calculate the amount of additional grouting to be added to the grouting pipe in the insufficient thickness area; The amount of grout to be added is calculated according to the formula V=α(h1-h)A, where V is the amount of grout to be added, α is the preset grouting coefficient, h1 is the starting value of the target mud thickness range, h is the current mud thickness, and A is the equivalent grouting area of ​​the grouting pipe in the current area.

2. The pipe jacking grouting method based on the drag reduction mud slurry detection data according to claim 1, characterized in that, The control operation for performing drag-reducing mud according to the grouting control operation specifically includes: In the area of ​​insufficient thickness, perform a quantitative grouting operation of drag-reducing mud according to the quantitative grouting instruction; In the areas with reasonable thickness and the areas with excessive thickness, the grouting shutdown operation of the drag-reducing mud is performed according to the grouting shutdown command.

3. The pipe jacking grouting method based on the drag reduction mud slurry detection data according to claim 2, characterized in that, The step of performing drag-reducing mud control operations according to the grouting control operations further includes: The updated mud thickness is received by the drag-reducing mud detection device in the area of ​​insufficient thickness. If the updated mud thickness is less than the starting value of the target mud thickness range, then the updated grouting data is calculated based on the updated mud thickness and the target mud thickness range. Based on the updated grouting data, an updated grouting instruction for drag-reducing slurry is generated, and the grouting operation for drag-reducing slurry is performed according to the updated grouting instruction until the updated slurry thickness is within the target slurry thickness range.

4. A pipe jacking grouting system based on drag reduction mud slurry detection data, characterized in that, The pipe jacking grouting system based on drag-reducing mud detection data is used to implement the pipe jacking grouting method based on drag-reducing mud detection data as described in any one of claims 1-3. The pipe jacking grouting system based on drag-reducing mud detection data includes: The detection data receiving module is used to acquire detection data and target area data of the drag-reducing mud around the pipe jacking pipe; The strategy generation module is used to determine the control strategy for pipe jacking construction based on the detection data and the target interval data; The grouting control module is used to generate grouting control operations for drag-reducing mud during pipe jacking construction according to the control strategy. The operation execution module is used to perform the control operation of the drag-reducing mud according to the grouting control operation.

5. A terminal, characterized by comprising: The terminal includes: a memory, a processor, and a pipe jacking grouting program based on drag-reducing mud detection data stored in the memory and executable on the processor. When the pipe jacking grouting program based on drag-reducing mud detection data is executed by the processor, it implements the steps of the pipe jacking grouting method based on drag-reducing mud detection data as described in any one of claims 1-3.

6. A computer-readable storage medium, characterized in that, The computer-readable storage medium stores a grouting program for pipe jacking based on drag-reducing mud detection data. When the grouting program for pipe jacking based on drag-reducing mud detection data is executed by a processor, it implements the steps of the grouting method for pipe jacking based on drag-reducing mud detection data as described in any one of claims 1-3.

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