Methods, equipment, and non-volatile storage media for determining pipe jacking construction schemes

Abstract

This invention discloses a method, apparatus, and non-volatile storage medium for determining a pipe jacking construction scheme. The method includes: acquiring multi-source geological data of the target construction area; constructing a three-dimensional stratigraphic structure model based on the multi-source geological data; extracting multiple feature parameters from the three-dimensional stratigraphic structure model; calculating an adaptability index of the target construction area based on the multiple feature parameters; determining an initial pipe jacking construction scheme for the target construction area based on the adaptability index; and optimizing the initial pipe jacking construction scheme to obtain a target pipe jacking construction scheme for the target construction area. This invention solves the technical problem that traditional pipe jacking schemes neglect the heterogeneity of the stratigraphy and lack dynamic adaptation, leading to high construction risks.

Description

Technical Field

[0001] This invention relates to the field of underground pipeline construction technology, and more specifically, to a method, apparatus, and non-volatile storage medium for determining a pipe jacking construction scheme. Background Technology

[0002] Pipe jacking, as a trenchless underground pipeline construction technology, has been widely used in urban underground pipeline network construction due to its advantages such as minimal impact on surface traffic and the environment, and low overall cost. However, the pipe jacking construction process is significantly affected by geological conditions. Current technologies typically rely on single geological parameters, such as soil strength or engineering experience, for static selection when formulating pipe jacking construction plans, lacking a systematic consideration of the spatial variability of strata, the coupling effect of multiple parameters, and the dynamic response of construction. Specifically, current technologies have the following shortcomings: First, geological analysis is disconnected from the formulation of construction plans, making it difficult to achieve refined design with a "one-zone-one-policy" approach; second, there is a lack of comprehensive evaluation indicators for quantifying strata adaptability, leading to construction parameter settings that are often conservative or pose safety hazards; third, once the construction plan is determined, it cannot be dynamically adjusted according to local changes in geological conditions, making it difficult to adapt to the construction needs of complex urban strata, such as heterogeneous soft and hard strata and water-rich strata.

[0003] There is currently no effective solution to the above problems. Summary of the Invention

[0004] This invention provides a method, apparatus, and non-volatile storage medium for determining a pipe jacking construction scheme, in order to at least solve the technical problems of traditional pipe jacking schemes ignoring the heterogeneity of the formation and lacking dynamic adaptation, which leads to high construction risks.

[0005] According to one aspect of the present invention, a method for determining a pipe jacking construction scheme is provided, comprising: acquiring multi-source geological data of a target construction area, wherein the multi-source geological data includes borehole exploration data, standard penetration test data, ground-penetrating radar detection data, and soil layer stratification record data; constructing a three-dimensional stratigraphic structure model based on the multi-source geological data, wherein the three-dimensional stratigraphic structure model includes multiple grid cells, and the three-dimensional stratigraphic structure model characterizes the spatial distribution of fill soil layer, silty clay layer, silty sand layer, and medium-coarse sand layer; extracting multiple feature parameters from the three-dimensional stratigraphic structure model, wherein the multiple feature parameters include target soil cohesion, target internal friction angle, target moisture content, and target stratigraphic dispersion index; calculating an adaptability index of the target construction area based on the multiple feature parameters; determining an initial pipe jacking construction scheme for the target construction area based on the adaptability index, wherein the initial pipe jacking construction scheme includes an initial jacking speed, an initial grouting pressure, and an initial jacking force; and optimizing the initial pipe jacking construction scheme to obtain a target pipe jacking construction scheme for the target construction area, wherein the target pipe jacking construction scheme includes a target jacking speed, a target grouting pressure, and a target jacking force.

[0006] Optionally, a three-dimensional stratigraphic structure model is constructed based on multi-source geological data, including: aligning the spatial coordinates and unifying the units of the multi-source geological data to obtain multiple discrete sampling points; using the Kriging interpolation method to reconstruct the spatial continuity of the multiple discrete sampling points; and combining geological stratification information to divide the three-dimensional space according to a preset size to generate a three-dimensional stratigraphic structure model.

[0007] Optionally, multiple feature parameters are extracted from the three-dimensional geological structure model, including: extracting the initial soil cohesion, initial internal friction angle, and initial water content of each of the multiple grid cells from the three-dimensional geological structure model; for each grid cell, calculating the standard deviation and range of the initial soil cohesion, initial internal friction angle, and initial water content; calculating the initial geological dispersion index of the grid cell based on the area of ​​the grid cell, the area of ​​the homogeneous region of the target construction area, the standard deviation, and the range; and calculating the average value of the initial soil cohesion, the average value of the initial internal friction angle, the average value of the initial water content, and the average value of the initial geological dispersion index of the multiple grid cells to obtain the target soil cohesion, target internal friction angle, target water content, and target geological dispersion index.

[0008] Optionally, the adaptability index of the target construction area is calculated based on multiple feature parameters, including: weighting and summing multiple feature parameters based on preset weights to obtain the adaptability index.

[0009] Optionally, based on the adaptability index, an initial pipe jacking construction plan for the target construction area is determined, including: determining the construction risk level of the target construction area based on the relationship between a preset adaptability threshold and the adaptability index; and determining the initial pipe jacking construction plan in a preset rule base based on the construction risk level.

[0010] Optionally, the initial pipe jacking construction scheme is optimized to obtain the target pipe jacking construction scheme for the target construction area, including: using the surface settlement and pipe section stress as multi-objective optimization functions, and using a preset optimization algorithm to perform multiple rounds of iterative search on the initial jacking speed, initial grouting pressure and initial jacking force, so as to minimize the weighted value of the surface settlement and pipe section stress, until the convergence condition is met and the iteration stops, thereby obtaining the target jacking speed, target grouting pressure and target jacking force.

[0011] According to another aspect of the present invention, a device for determining a pipe jacking construction scheme is also provided, comprising: an acquisition module for acquiring multi-source geological data of a target construction area, wherein the multi-source geological data includes borehole exploration data, standard penetration test data, ground-penetrating radar detection data, and soil layer stratification record data; a construction module for constructing a three-dimensional stratigraphic structure model based on the multi-source geological data, wherein the three-dimensional stratigraphic structure model includes multiple grid cells, and the three-dimensional stratigraphic structure model represents the spatial distribution of fill soil layer, silty clay layer, silty sand layer, and medium-coarse sand layer; and an extraction module for extracting multiple feature parameters from the three-dimensional stratigraphic structure model. The system includes several characteristic parameters, such as the target soil cohesion, target internal friction angle, target moisture content, and target stratum dispersion index; a calculation module, used to calculate the adaptability index of the target construction area based on multiple characteristic parameters; a determination module, used to determine the initial pipe jacking construction scheme for the target construction area based on the adaptability index, wherein the initial pipe jacking construction scheme includes the initial jacking speed, initial grouting pressure, and initial jacking force; and an optimization module, used to optimize the initial pipe jacking construction scheme to obtain the target pipe jacking construction scheme for the target construction area, wherein the target pipe jacking construction scheme includes the target jacking speed, target grouting pressure, and target jacking force.

[0012] According to another aspect of the present invention, a non-volatile storage medium is also provided, the non-volatile storage medium including a stored program, wherein, when the program is running, the device where the non-volatile storage medium is located is controlled to execute any of the above-described pipe jacking construction scheme determination methods.

[0013] According to another aspect of the present invention, a computer device is also provided, the computer device including a processor, the processor being configured to run a program, wherein the program executes any of the above-described methods for determining a pipe jacking construction scheme.

[0014] According to another aspect of the present invention, a computer program product is also provided, including a computer program that, when executed by a processor, implements any of the above-described methods for determining a pipe jacking construction scheme.

[0015] In this embodiment of the invention, a method for determining a pipe jacking construction scheme is adopted. This method involves acquiring multi-source geological data of the target construction area; constructing a three-dimensional stratigraphic structure model based on the multi-source geological data; extracting multiple feature parameters from the three-dimensional stratigraphic structure model; calculating the adaptability index of the target construction area based on the multiple feature parameters; determining the initial pipe jacking construction scheme for the target construction area based on the adaptability index; and optimizing the initial pipe jacking construction scheme to obtain the target pipe jacking construction scheme for the target construction area. This achieves the goal of accurately quantifying stratigraphic adaptability and dynamically matching construction parameters, thereby realizing a high degree of fit between the construction scheme and complex stratigraphic conditions and the technical effect of adaptive optimization. This solves the technical problem that traditional pipe jacking schemes ignore stratigraphic heterogeneity and lack dynamic adaptation, leading to high construction risks. Attached Figure Description

[0016] The accompanying drawings, which are included to provide a further understanding of the invention and form part of this application, illustrate exemplary embodiments of the invention and, together with their description, serve to explain the invention and do not constitute an undue limitation thereof. In the drawings: Figure 1 A hardware structure block diagram of a computer terminal for implementing a method for determining a pipe jacking construction scheme is shown. Figure 2 This is a flowchart illustrating the method for determining a pipe jacking construction scheme according to an embodiment of the present invention; Figure 3 This is a flowchart illustrating a method for determining a pipe jacking construction scheme based on formation adaptability analysis according to an optional embodiment of the present invention. Figure 4 This is a structural block diagram of a pipe jacking construction scheme determination device provided by an optional embodiment of the present invention. Detailed Implementation

[0017] To enable those skilled in the art to better understand the present invention, the technical solutions of the present invention will be clearly and completely described below with reference to the accompanying drawings of the embodiments of the present invention. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort should fall within the scope of protection of the present invention.

[0018] It should be noted that the terms "first," "second," etc., in the specification, claims, and accompanying drawings of this invention are used to distinguish similar objects and are not necessarily used to describe a specific order or sequence. It should be understood that such data can be interchanged where appropriate so that the embodiments of the invention described herein can be implemented in orders other than those illustrated or described herein. Furthermore, the terms "comprising" and "having," and any variations thereof, are intended to cover a non-exclusive inclusion; for example, a process, method, system, product, or apparatus that comprises a series of steps or units is not necessarily limited to those steps or units explicitly listed, but may include other steps or units not explicitly listed or inherent to such processes, methods, products, or apparatus.

[0019] According to an embodiment of the present invention, a method for determining a pipe jacking construction scheme is provided. It should be noted that the steps shown in the flowchart in the accompanying drawings can be executed in a computer system such as a set of computer-executable instructions. Furthermore, although a logical order is shown in the flowchart, in some cases, the steps shown or described may be executed in a different order than that shown here.

[0020] The method embodiment provided in Embodiment 1 of this application can be executed on a mobile terminal, computer terminal, or similar computing device. Figure 1 A hardware block diagram of a computer terminal for implementing a method to determine a pipe jacking construction scheme is shown. Figure 1 As shown, the computer terminal 10 may include one or more processors (shown as 102a, 102b, ..., 102n in the figure) (the processor may include, but is not limited to, a microprocessor MCU or a programmable logic device FPGA, etc.) and a memory 104 for storing data. In addition, it may also include: a display, an input / output interface (I / O interface), a universal serial bus (USB) port (which may be included as one of the ports of a BUS bus), a network interface, a power supply, and / or a camera. Those skilled in the art will understand that... Figure 1 The structure shown is for illustrative purposes only and does not limit the structure of the aforementioned electronic device. For example, computer terminal 10 may also include... Figure 1 The more or fewer components shown, or having the same Figure 1 The different configurations shown.

[0021] It should be noted that the aforementioned one or more processors and / or other data processing circuits are generally referred to herein as "data processing circuits". These data processing circuits may be embodied, in whole or in part, in software, hardware, firmware, or any other combination thereof. Furthermore, the data processing circuits may be a single, independent processing module, or may be integrated, in whole or in part, into any other element within the computer terminal 10. As involved in the embodiments of this application, the data processing circuits serve as a processor control mechanism (e.g., selection of a variable resistor termination path connected to an interface).

[0022] The memory 104 can be used to store software programs and modules of application software, such as the program instructions / data storage device corresponding to the pipe jacking construction scheme determination method in this embodiment of the invention. The processor executes various functional applications and data processing by running the software programs and modules stored in the memory 104, thereby realizing the pipe jacking construction scheme determination method of the above-mentioned application. The memory 104 may include high-speed random access memory, and may also include non-volatile memory, such as one or more magnetic storage devices, flash memory, or other non-volatile solid-state memory. In some instances, the memory 104 may further include memory remotely located relative to the processor, and these remote memories can be connected to the computer terminal 10 via a network. Examples of such networks include, but are not limited to, the Internet, corporate intranets, local area networks, mobile communication networks, and combinations thereof.

[0023] The display can be, for example, a touchscreen liquid crystal display (LCD) that allows the user to interact with the user interface of the computer terminal 10.

[0024] Figure 2 This is a flowchart illustrating the method for determining a pipe jacking construction scheme according to an embodiment of the present invention, as shown below. Figure 2 As shown, the method includes the following steps: Step S201: Obtain multi-source geological data of the target construction area, including borehole exploration data, standard penetration test data, ground-penetrating radar detection data, and soil layer stratification record data.

[0025] In this step, comprehensive underground geological information along the target pipe jacking path is collected to obtain multi-source geological data for the target construction area, overcoming the limitations of traditional single-hole data. This multi-source geological data includes borehole exploration data, standard penetration test (SPT) data, ground-penetrating radar (GPR) data, and soil stratification record data. Borehole exploration data refers to core samples and their descriptions obtained through drilling, reflecting intuitive information such as soil type, color, and density. Standard penetration test (SPT) data indirectly reflects the soil's density and bearing capacity by measuring the number of blows (N value) into the soil using a standard penetrator. GPR data utilizes the reflection characteristics of high-frequency electromagnetic waves in different media to non-destructively detect shallow soil interfaces, cavities, or water-bearing anomalies. Soil stratification record data comes from engineering geological reports, clearly defining the thickness, depth, and spatial continuity of each layer. By integrating these heterogeneous data, a multi-dimensional, highly reliable original geological database is constructed, providing a realistic and complete foundation for subsequent modeling.

[0026] Step S202: Based on multi-source geological data, construct a three-dimensional stratigraphic structure model. The three-dimensional stratigraphic structure model includes multiple grid cells and represents the spatial distribution of fill soil layer, silty clay layer, silty sand layer and medium-coarse sand layer.

[0027] In this step, discrete point-like geological data is transformed into a continuous, three-dimensional, computable digital model. Based on multi-source geological data, a three-dimensional stratigraphic structure model is constructed. This model comprises multiple grid cells, and spatial interpolation techniques such as Kriging or Inverse Distance Weighted (IDW) are used to smoothly fit borehole and geophysical data in three-dimensional space, forming a voxel model composed of millions of grid cells (typically 0.5m × 0.5m × 1m cubes). This model can accurately depict the spatial boundaries, thickness variations, and transition zones of typical soil layers, such as fill (artificial backfill, loose structure), silty clay (high viscosity, low permeability), silt (easily liquefiable, weak bearing capacity), and medium-coarse sand (high permeability, high bearing capacity). It can also reveal complex geological structures such as interlayers and lenses, providing a realistic and reliable digital twin geological environment for subsequent parameter extraction and simulation.

[0028] Step S203: Extract multiple feature parameters from the three-dimensional geological structure model. These feature parameters include the target soil cohesion, target internal friction angle, target water content, and target stratum dispersion index.

[0029] In this step, within each grid cell, based on the constructed 3D model, characteristic parameters that influence the soil engineering properties of that cell are extracted. These parameters include target soil cohesion, target internal friction angle, target water content, and target stratum dispersion index. Cohesion *c* reflects the physical adsorption force between soil particles, determining its cohesive ability to resist shear failure; the internal friction angle... Frictional resistance between particles is another key component of soil shear strength. Moisture content (ω), the ratio of water mass to solid particle mass, directly affects soil strength, compressibility, and permeability, and is particularly crucial for pipe jacking stability in water-rich strata. Furthermore, a stratum dispersion index is introduced to measure the spatial variability of soil parameters within a given area, i.e., the degree of "hardness heterogeneity." For example, the presence of clay interlayers or gravel-rich areas within a silt layer significantly increases the uncertainty of pipe jacking; this index can effectively capture such risks.

[0030] Step S204: Calculate the adaptability index of the target construction area based on multiple characteristic parameters.

[0031] In this step, a comprehensive evaluation function is constructed, which integrates the multiple independent parameters extracted in step S203 (cohesion c, internal friction angle) The water content (ω) and formation dispersion index (D) are weighted and summed to form a single comprehensive adaptability index. This adaptability index is not a simple average; rather, it assigns different weights to different parameters based on expert experience and historical engineering data. For example, formation dispersion has a greater impact on risk, thus giving it a higher weight. This compresses complex, multi-dimensional geological information into a comparable and gradeable geological score. The adaptability index directly reflects whether a section is uniform and stable, easily disturbed, or high-risk. For instance, a combination of high water content and high dispersion will significantly reduce the adaptability index, indicating that the section is unsuitable for conventional pipe jacking; conversely, sections with uniform parameters and good mechanical properties have high adaptability. The adaptability index is the core bridge connecting geological data and construction decisions.

[0032] Step S205: Based on the adaptability index, determine the initial pipe jacking construction plan for the target construction area, wherein the initial pipe jacking construction plan includes the initial jacking speed, the initial grouting pressure, and the initial jacking force.

[0033] In this step, based on the adaptability index calculated in step S204, the construction section is divided into several risk levels (e.g., low, medium, and high risk), and a pre-set matching construction scheme library is established. For example, the high-risk area (low index) corresponds to the "slurry balance pipe jacking machine + high grouting pressure + slow advancement" scheme to control ground disturbance; the medium-risk area uses the "earth pressure balance pipe jacking + medium parameters" combination; and the low-risk area can choose "conventional pipe jacking + high-efficiency advancement" to improve efficiency. The initial jacking speed refers to the distance the pipe section advances per unit time, affecting the frequency of ground disturbance; the initial grouting pressure is used to fill the void between the outer wall of the pipe section and the soil to prevent ground settlement; the initial jacking force is the soil resistance that the pipe jacking machine needs to overcome. By looking up the table and matching, a safe and conservative initial scheme is quickly generated, providing a starting point for subsequent fine optimization.

[0034] Step S206: Optimize the initial pipe jacking construction plan to obtain the target pipe jacking construction plan for the target construction area. The target pipe jacking construction plan includes the target jacking speed, the target grouting pressure, and the target jacking force.

[0035] In this step, the initial scheme parameters are input into a numerical simulation model (e.g., Abaqus or MidasGTSNX). This model simulates the mechanical interaction between the pipe, soil, and grouting layer, outputting key response indicators: surface settlement (S) and maximum stress in the pipe section. Using these two as optimization targets, intelligent optimization algorithms (e.g., particle swarm optimization, genetic algorithm) are employed to automatically and iteratively adjust the jacking speed, grouting pressure, and jacking force, seeking the parameter combination that maximizes construction efficiency and minimizes energy consumption while meeting settlement and stress limits. The optimization result is no longer a fixed value, but rather an optimal dynamic parameter set "tailor-made" for the geological characteristics of this section, achieving an intelligent transformation from a "one-size-fits-all" approach to a "one-hole-one-policy" approach, significantly improving construction safety and economy.

[0036] Through the above steps, the goal of accurately quantifying the adaptability of the formation and dynamically matching the construction parameters is achieved. This results in a high degree of fit between the construction scheme and complex formation conditions, as well as the technical effect of adaptive optimization. In turn, it solves the technical problem that the traditional pipe jacking scheme ignores the heterogeneity of the formation and lacks dynamic adaptation, leading to high construction risks.

[0037] As an optional embodiment, a three-dimensional stratigraphic structure model is constructed based on multi-source geological data, including: aligning the spatial coordinates and unifying the units of the multi-source geological data to obtain multiple discrete sampling points; using the Kriging interpolation method to reconstruct the spatial continuity of the multiple discrete sampling points; and combining geological stratification information to divide the three-dimensional space according to a preset size to generate a three-dimensional stratigraphic structure model.

[0038] Optionally, in order to construct an accurate three-dimensional geological structure model, exploration drilling data, standard penetration test (SPT) data, and ground-penetrating radar detection data of the pipe jacking section of a certain urban integrated pipe gallery project are obtained, covering multi-dimensional information such as soil type, burial depth, density, and water content anomalies. First, the aforementioned multi-source data can be spatially aligned and units unified, adopting a unified engineering coordinate system and elevation datum. Heterogeneous data such as borehole location, SPT hammer blow count, and radar reflection depth are transformed into discrete sampling points with unified spatial coordinates (X, Y, Z) and physical properties. Subsequently, based on the geological stratification record, the interface boundaries of each soil layer (plain fill, silty clay, silt, and medium-coarse sand) are clarified. Spatial continuity is reconstructed using the Kriging interpolation method in the MidasGTSNX platform. This method quantifies the spatial autocorrelation of parameters through a variogram and applies strata constraints during the interpolation process to ensure that parameters are not extrapolated across layers, avoiding geological misjudgments. After interpolation, the three-dimensional space is discretized using regular grid cells of 0.5m × 0.5m × 1m to generate a high-precision three-dimensional stratigraphic structure model. This model clearly represents the spatial distribution, thickness variation, and interface transition characteristics of each soil layer, providing a realistic and reliable digital geological foundation for subsequent parameter extraction and construction simulation.

[0039] As an optional embodiment, multiple feature parameters are extracted from the three-dimensional geological structure model, including: extracting the initial soil cohesion, initial internal friction angle, and initial water content of each of the multiple grid cells from the three-dimensional geological structure model; for each grid cell, calculating the standard deviation and range of the initial soil cohesion, initial internal friction angle, and initial water content; calculating the initial geological dispersion index of the grid cell based on the area of ​​the grid cell, the area of ​​the homogeneous region of the target construction area, the standard deviation, and the range; and calculating the average value of the initial soil cohesion, the average value of the initial internal friction angle, the average value of the initial water content, and the average value of the initial geological dispersion index of the multiple grid cells to obtain the target soil cohesion, target internal friction angle, target water content, and target geological dispersion index.

[0040] Optionally, multiple feature parameters are extracted from the three-dimensional geological structure model. First, the initial soil cohesion c and initial internal friction angle are extracted from each grid cell of the three-dimensional geological structure model. The initial water content ω and other parameters are core indicators reflecting the mechanical properties and hydrological state of the soil, respectively characterizing the soil's cohesion, interparticle friction resistance, and water content level. Their values ​​are directly assigned to each voxel by the previous Kriging interpolation results, forming a spatially distributed parameter field. Next, for each grid cell's local area (e.g., a 1m×1m×1m evaluation sub-area), the standard deviation σ and range R of the cohesion, internal friction angle, and water content of all sampling points or adjacent cells within it are calculated. These reflect the dispersion and fluctuation range of the parameters within that local area. The standard deviation measures the amplitude of data fluctuation around the mean, while the range reflects the difference between the maximum and minimum values; both together quantify the geological heterogeneity of the area. Then, based on this, the total area covered by the grid cell is considered... With the area of ​​its continuous homogeneous layer The initial stratigraphic dispersion index is constructed by taking the area of ​​a continuous soil layer region with similar adjacent parameters and no significant interface abrupt changes. This index is calculated using the following formula:

[0041] in, R represents the standard deviation of the soil parameters, and R represents the range of the soil parameters. The area of ​​a continuous homogeneous layer. This is for evaluating the total area of ​​the unit. For example, assuming the standard deviation of soil parameters σ = 12.5 kPa and the range R = 45.0 kPa; the area of ​​the homogeneous region. Total area of ​​evaluation unit Calculate the stratigraphic dispersion index for this unit:

[0042] When local soil layers change drastically (σ large, R small) and the homogeneous area accounts for a low proportion ( much smaller When the index increases significantly, it accurately reflects the construction disturbance risk brought about by complex geological structures such as soft and hard interlayers and lenses. Finally, in order to obtain comprehensive parameters representing the overall geological characteristics of the entire target construction section, the arithmetic mean of the initial cohesion, initial internal friction angle, initial water content, and initial stratum dispersion index of all grid units are calculated. Finally, the target soil cohesion, target internal friction angle, target water content, and target stratum dispersion index are generated as representative feature values ​​input to the comprehensive adaptability evaluation model. This not only retains the ability to depict local spatial variations but also achieves a unified representation of macro-sections, providing a scientific and quantifiable input basis for matching one policy for one area.

[0043] As an optional embodiment, the adaptability index of the target construction area is calculated based on multiple feature parameters, including: weighting and summing multiple feature parameters based on preset weights to obtain the adaptability index.

[0044] Optionally, the adaptability index of the target construction area is calculated based on multiple characteristic parameters. The formation adaptability evaluation model is expressed as follows:

[0045] in, Let i be the eigenvalue of the i-th key stratigraphic parameter. Let be the corresponding weighting coefficient, and n be the total number of key formation parameters, and satisfy . .

[0046] For example, based on preset weights , , , Calculate the comprehensive adaptability index :

[0047] As an optional embodiment, the initial pipe jacking construction scheme for the target construction area is determined based on the adaptability index, including: determining the construction risk level of the target construction area based on the relationship between a preset adaptability threshold and the adaptability index; and determining the initial pipe jacking construction scheme in a preset rule base based on the construction risk level.

[0048] Optionally, firstly, based on multiple pre-set fitness thresholds, the calculated comprehensive fitness index is... In comparison, a clear level of construction risk is identified:

[0049] in, , The preset adaptability threshold is used; based on the risk level L, a preset construction scheme library is invoked to obtain the corresponding initial pipe jacking construction scheme. When ≥ When a zone is identified as low-risk, it indicates that the formation is homogeneous, has good mechanical properties, and is suitable for efficient propulsion; when ≤ < When the area is classified as a medium-risk area, it indicates a certain degree of soil layer change or weakening, requiring appropriate parameter control; when < When a high-risk area is identified, it indicates strong geological dispersion, high water content, or low strength, making it highly susceptible to surface subsidence or pipe section deformation, requiring high-strength protective measures. After determining the risk level, the system automatically calls upon a pre-set construction scheme rule base. This rule base is a set of mature schemes accumulated in engineering practice, with each level corresponding to a standardized combination of initial construction parameters. Through this rule mapping, the system can quickly and unambiguously output an initial pipe jacking construction scheme highly matched to the geological conditions, achieving automated connection from geological evaluation to engineering decision-making. This avoids the subjectivity and lag of manual experience-based judgment, providing a stable and reliable starting point for subsequent simulation optimization.

[0050] For example, a threshold can be set. , .because ,satisfy The risk level L is determined to be Level III (high-risk area). Matching options are retrieved from the construction plan library. The initial plan is set as follows: using a slurry-balanced pipe jacking machine, with a high-strength roller cutterhead, and a preset jacking speed. Grouting pressure .

[0051] As an optional embodiment, the initial pipe jacking construction scheme is optimized to obtain the target pipe jacking construction scheme for the target construction area. This includes: using the surface settlement and pipe section stress as multi-objective optimization functions, and using a preset optimization algorithm to perform multiple rounds of iterative search on the initial jacking speed, initial grouting pressure and initial jacking force, so as to minimize the weighted value of the surface settlement and pipe section stress, until the convergence condition is met and the iteration stops, thereby obtaining the target jacking speed, target grouting pressure and target jacking force.

[0052] Optionally, after obtaining the initial jacking speed, initial grouting pressure, and initial thrust, a three-dimensional numerical model of the "pipe-soil-grouting layer" is established in Abaqus. The initial scheme parameters are input, including the surface settlement S and the pipe section stress. To optimize the objective, an optimization algorithm is used to iteratively optimize the jacking speed v, grouting pressure p, and jacking force T. The surface settlement S satisfies:

[0053] Pipe section stress satisfy:

[0054] Wherein, G is a geological parameter vector. This process breaks through the limitations of traditional "static selection" and realizes an intelligent leap from "experience-based preset" to "simulation-driven, quantitative optimization" of construction parameters. It not only significantly reduces the risk of excessive settlement and structural damage, but also improves the efficiency of progress and reduces construction costs while ensuring safety. It is the key technical link for achieving the core objective of "precise adaptation and dynamic control" in this invention.

[0055] In conjunction with the above optional embodiments, a method for determining a pipe jacking construction scheme based on geological adaptability analysis is also provided. Figure 3 This is a flowchart illustrating a method for determining a pipe jacking construction scheme based on formation adaptability analysis according to an optional embodiment of the present invention. Figure 3 As shown, the method includes: acquiring multi-source geological data of the target construction area and constructing a three-dimensional stratigraphic structure model; extracting key stratigraphic parameters based on the three-dimensional stratigraphic structure model and calculating the comprehensive adaptability index of each construction section using a pre-constructed stratigraphic adaptability evaluation model; matching an initial pipe jacking construction scheme according to the comprehensive adaptability index; and dynamically optimizing the initial pipe jacking construction scheme through numerical simulation to generate a target construction scheme. This optional embodiment achieves precise adaptation of the pipe jacking construction scheme to complex geological conditions, effectively reducing construction risks and improving construction efficiency and safety.

[0056] Compared with current technologies, the aforementioned method embodiments have the following advantages: This invention presents a method and system for determining pipe jacking construction schemes based on geological adaptability analysis. By constructing a three-dimensional geological structure model and introducing a comprehensive adaptability index, it comprehensively considers soil mechanical parameters, hydrological parameters, and geological dispersion characteristics, overcoming the shortcomings of traditional methods that rely on single indicators and ignore geological heterogeneity. In particular, the introduction of the geological dispersion index can quantify the construction disturbance risk of complex strata with varying hardness. It achieves refined and dynamic scheme formulation: This invention employs a two-stage strategy of initial matching and re-optimization. First, it quickly locks down the scheme framework based on risk level, and then combines numerical simulation for parameter-level dynamic optimization, realizing the transformation of construction schemes from static selection to dynamic adaptation, significantly improving the fit between construction parameters and actual geological responses. It significantly reduces construction risks and costs: Through precise synergistic optimization of geological adaptability and jacking parameters, it effectively controls the probability of common pipe jacking accidents such as excessive surface settlement and pipe section structural damage. Experimental data show that after adopting this method, the average surface settlement of a certain engineering section decreased by about 32%, and the peak stress of the pipe section decreased by about 18%, reducing unplanned downtime and reinforcement costs, resulting in significant economic benefits. Improving the intelligence level of pipe jacking construction: This invention deeply integrates geological analysis and construction control, providing a decision-making basis for the intelligent control of pipe jacking equipment and promoting the development of trenchless construction technology towards digitalization and intelligence.

[0057] It should be noted that, for the sake of simplicity, the foregoing method embodiments are all described as a series of actions. However, those skilled in the art should understand that the present invention is not limited to the described order of actions, because according to the present invention, some steps can be performed in other orders or simultaneously. Furthermore, those skilled in the art should also understand that the embodiments described in the specification are preferred embodiments, and the actions and modules involved are not necessarily essential to the present invention.

[0058] Through the above description of the embodiments, those skilled in the art can clearly understand that the method for determining the pipe jacking construction scheme according to the above embodiments can be implemented by means of software plus necessary general-purpose hardware platform. Of course, it can also be implemented by hardware, but in many cases the former is a better implementation method. Based on this understanding, the technical solution of the present invention, in essence, or the part that contributes to the prior art, can be embodied in the form of a software product. This computer software product is stored in a storage medium (such as ROM / RAM, magnetic disk, optical disk) and includes several instructions to cause a terminal device (which may be a mobile phone, computer, server, or network device, etc.) to execute the methods described in the various embodiments of the present invention.

[0059] According to an embodiment of the present invention, an apparatus for implementing the above-described method for determining a pipe jacking construction scheme is also provided. Figure 4 This is a structural block diagram of the pipe jacking construction scheme determination device provided in an embodiment of the present invention, such as... Figure 4 As shown, the device includes: an acquisition module 41, a construction module 42, an extraction module 43, a calculation module 44, a determination module 45, and an optimization module 46. The device will be described below.

[0060] The acquisition module 41 is used to acquire multi-source geological data of the target construction area, including borehole exploration data, standard penetration test data, ground-penetrating radar detection data, and soil layer stratification record data. The construction module 42, connected to the acquisition module 41, is used to construct a three-dimensional stratigraphic structure model based on multi-source geological data. The three-dimensional stratigraphic structure model includes multiple grid cells and represents the spatial distribution of fill soil layer, silty clay layer, silt layer and medium-coarse sand layer. Extraction module 43, connected to construction module 42, is used to extract multiple feature parameters from the three-dimensional geological structure model. Among them, the multiple feature parameters include target soil cohesion, target internal friction angle, target water content, and target stratum dispersion index. The calculation module 44, connected to the extraction module 43, is used to calculate the adaptability index of the target construction area based on multiple feature parameters. The determination module 45, connected to the calculation module 44, is used to determine the initial pipe jacking construction scheme for the target construction area based on the adaptability index. The initial pipe jacking construction scheme includes the initial jacking speed, the initial grouting pressure, and the initial jacking force. The optimization module 36, connected to the determination module 35, is used to optimize the initial pipe jacking construction plan to obtain the target pipe jacking construction plan for the target construction area. The target pipe jacking construction plan includes the target jacking speed, the target grouting pressure, and the target jacking force.

[0061] It should be noted that the acquisition module 41, construction module 42, extraction module 43, calculation module 44, determination module 45, and optimization module 46 mentioned above correspond to steps S201 to S206 in the embodiments. Multiple modules and their corresponding steps implement the same instances and application scenarios, but are not limited to the content disclosed in the above embodiments. It should also be noted that the above modules, as part of the device, can run on the computer terminal 10 provided in the embodiments.

[0062] Embodiments of the present invention may provide a computer device. Optionally, in this embodiment, the computer device may be located in at least one of a plurality of network devices in a computer network. The computer device includes a memory and a processor.

[0063] The memory can be used to store software programs and modules, such as the program instructions / modules corresponding to the pipe jacking construction scheme determination method and device in this embodiment of the invention. The processor executes various functional applications and data processing by running the software programs and modules stored in the memory, thereby realizing the aforementioned pipe jacking construction scheme determination method. The memory may include high-speed random access memory, and may also include non-volatile memory, such as one or more magnetic storage devices, flash memory, or other non-volatile solid-state memory. In some instances, the memory may further include memory remotely located relative to the processor, and these remote memories can be connected to a computer terminal via a network. Examples of such networks include, but are not limited to, the Internet, corporate intranets, local area networks, mobile communication networks, and combinations thereof.

[0064] The processor can access information and applications stored in memory via a transmission device to execute the following steps: acquiring multi-source geological data of the target construction area, including borehole exploration data, standard penetration test data, ground-penetrating radar detection data, and soil stratification record data; constructing a three-dimensional stratigraphic structure model based on the multi-source geological data, wherein the three-dimensional stratigraphic structure model includes multiple grid cells and represents the spatial distribution of fill soil layers, silty clay layers, silty sand layers, and medium-coarse sand layers; extracting multiple feature parameters from the three-dimensional stratigraphic structure model, including target soil cohesion, target internal friction angle, target moisture content, and target stratigraphic dispersion index; calculating the adaptability index of the target construction area based on the multiple feature parameters; determining the initial pipe jacking construction scheme for the target construction area based on the adaptability index, wherein the initial pipe jacking construction scheme includes initial jacking speed, initial grouting pressure, and initial jacking force; optimizing the initial pipe jacking construction scheme to obtain the target pipe jacking construction scheme for the target construction area, wherein the target pipe jacking construction scheme includes target jacking speed, target grouting pressure, and target jacking force.

[0065] Optionally, the processor can also execute program code for the following steps: aligning spatial coordinates and unifying units of multi-source geological data to obtain multiple discrete sampling points; reconstructing the spatial continuity of the multiple discrete sampling points using Kriging interpolation; and dividing the three-dimensional space according to a preset size based on geological stratification information to generate a three-dimensional stratigraphic structure model.

[0066] Optionally, the processor may also execute program code for the following steps: extracting the initial soil cohesion, initial internal friction angle, and initial water content of multiple grid cells from the three-dimensional geological structure model; for each grid cell, calculating the standard deviation and range of the initial soil cohesion, initial internal friction angle, and initial water content; calculating the initial geological dispersion index of the grid cell based on the area of ​​the grid cell, the area of ​​the homogeneous region of the target construction area, the standard deviation, and the range; and calculating the average value of the initial soil cohesion, the average value of the initial internal friction angle, the average value of the initial water content, and the average value of the initial geological dispersion index of multiple grid cells to obtain the target soil cohesion, target internal friction angle, target water content, and target geological dispersion index.

[0067] Optionally, the processor may also execute program code that performs the following steps: weighted summation of multiple feature parameters based on preset weights to obtain the fitness index.

[0068] Optionally, the processor may also execute program code for the following steps: determining the construction risk level of the target construction area based on the relationship between a preset adaptability threshold and an adaptability index; and determining an initial pipe jacking construction scheme in a preset rule base based on the construction risk level.

[0069] Optionally, the processor may also execute program code with the following steps: using surface subsidence and pipe section stress as multi-objective optimization functions, and using a preset optimization algorithm to perform multiple rounds of iterative search on the initial jacking speed, initial grouting pressure and initial jacking force, so as to minimize the weighted value of surface subsidence and pipe section stress, until the convergence condition is met and the iteration stops, thereby obtaining the target jacking speed, target grouting pressure and target jacking force.

[0070] This invention provides a method for determining a pipe jacking construction scheme. The method involves acquiring multi-source geological data of the target construction area; constructing a three-dimensional geological structure model based on the multi-source geological data; extracting multiple feature parameters from the three-dimensional geological structure model; calculating the adaptability index of the target construction area based on the multiple feature parameters; determining the initial pipe jacking construction scheme for the target construction area based on the adaptability index; and optimizing the initial pipe jacking construction scheme to obtain the target pipe jacking construction scheme for the target construction area. This achieves the goal of accurately quantifying geological adaptability and dynamically matching construction parameters, thereby realizing a high degree of fit between the construction scheme and complex geological conditions and the technical effect of adaptive optimization. This solves the technical problem of traditional pipe jacking schemes neglecting geological heterogeneity and lacking dynamic adaptation, leading to high construction risks.

[0071] Those skilled in the art will understand that all or part of the steps in the various methods of the above embodiments can be implemented by a program instructing the hardware related to the terminal device. The program can be stored in a non-volatile storage medium, which may include: flash drive, read-only memory (ROM), random access memory (RAM), disk or optical disk, etc.

[0072] Embodiments of the present invention also provide a non-volatile storage medium. Optionally, in this embodiment, the aforementioned non-volatile storage medium can be used to store the program code executed by the pipe jacking construction scheme determination method provided in the above embodiments.

[0073] Optionally, in this embodiment, the non-volatile storage medium may be located in any computer terminal in a group of computer terminals in a computer network, or in any mobile terminal in a group of mobile terminals.

[0074] Optionally, in this embodiment, the non-volatile storage medium is configured to store program code for performing the following steps: acquiring multi-source geological data of the target construction area, wherein the multi-source geological data includes borehole exploration data, standard penetration test data, ground-penetrating radar detection data, and soil layer stratification record data; constructing a three-dimensional stratigraphic structure model based on the multi-source geological data, wherein the three-dimensional stratigraphic structure model includes multiple grid cells, and the three-dimensional stratigraphic structure model represents the spatial distribution of fill soil layer, silty clay layer, silty sand layer, and medium-coarse sand layer; extracting multiple feature parameters from the three-dimensional stratigraphic structure model. The target construction area is analyzed using several characteristic parameters, including the target soil cohesion, target internal friction angle, target moisture content, and target stratum dispersion index. Based on these parameters, an adaptability index is calculated for the target construction area. Based on this adaptability index, an initial pipe jacking construction scheme is determined for the target construction area, including initial jacking speed, initial grouting pressure, and initial thrust. This initial scheme is then optimized to obtain the target pipe jacking construction scheme for the target construction area, including target jacking speed, target grouting pressure, and target thrust.

[0075] Optionally, in this embodiment, the non-volatile storage medium is configured to store program code for performing the following steps: spatial coordinate alignment and unit unification of multi-source geological data to obtain multiple discrete sampling points; spatial continuity reconstruction of multiple discrete sampling points using Kriging interpolation; and division of three-dimensional space according to preset dimensions based on geological stratification information to generate a three-dimensional stratigraphic structure model.

[0076] Optionally, in this embodiment, the non-volatile storage medium is configured to store program code for performing the following steps: extracting the initial soil cohesion, initial internal friction angle, and initial moisture content of each of multiple grid cells from the three-dimensional geological structure model; for each grid cell, calculating the standard deviation and range of the initial soil cohesion, initial internal friction angle, and initial moisture content; calculating the initial geological dispersion index of the grid cell based on the area of ​​the grid cell, the area of ​​the homogeneous region of the target construction area, the standard deviation, and the range; calculating the average value of the initial soil cohesion, the average value of the initial internal friction angle, the average value of the initial moisture content, and the average value of the initial geological dispersion index of multiple grid cells, respectively, to obtain the target soil cohesion, target internal friction angle, target moisture content, and target geological dispersion index.

[0077] Optionally, in this embodiment, the non-volatile storage medium is configured to store program code for performing the following steps: weighting and summing multiple feature parameters based on preset weights to obtain the fitness index.

[0078] Optionally, in this embodiment, the non-volatile storage medium is configured to store program code for performing the following steps: determining the construction risk level of the target construction area based on the relationship between a preset fitness threshold and a fitness index; and determining an initial pipe jacking construction scheme in a preset rule base based on the construction risk level.

[0079] Optionally, in this embodiment, the non-volatile storage medium is configured to store program code for performing the following steps: using surface subsidence and pipe section stress as multi-objective optimization functions, using a preset optimization algorithm to perform multiple rounds of iterative search on the initial jacking speed, initial grouting pressure and initial jacking force, so as to minimize the weighted value of surface subsidence and pipe section stress, until the convergence condition is met and the iteration stops, thereby obtaining the target jacking speed, target grouting pressure and target jacking force.

[0080] Embodiments of the present invention also provide a computer program product, including a computer program. Optionally, in this embodiment, when the computer program is executed by a processor, it can: acquire multi-source geological data of the target construction area, wherein the multi-source geological data includes borehole exploration data, standard penetration test data, ground-penetrating radar detection data, and soil layer stratification record data; construct a three-dimensional stratigraphic structure model based on the multi-source geological data, wherein the three-dimensional stratigraphic structure model includes multiple grid cells, and the three-dimensional stratigraphic structure model represents the spatial distribution of fill soil layer, silty clay layer, silty sand layer, and medium-coarse sand layer; and extract data from the three-dimensional stratigraphic structure model... Multiple characteristic parameters are extracted from the model, including the target soil cohesion, target internal friction angle, target moisture content, and target stratum dispersion index. Based on these characteristic parameters, the adaptability index of the target construction area is calculated. Based on the adaptability index, the initial pipe jacking construction scheme for the target construction area is determined, including the initial jacking speed, initial grouting pressure, and initial jacking force. The initial pipe jacking construction scheme is then optimized to obtain the target pipe jacking construction scheme for the target construction area, including the target jacking speed, target grouting pressure, and target jacking force.

[0081] The sequence numbers of the above embodiments of the present invention are for descriptive purposes only and do not represent the superiority or inferiority of the embodiments.

[0082] In the above embodiments of the present invention, the descriptions of each embodiment have different focuses. For parts not described in detail in a certain embodiment, please refer to the relevant descriptions of other embodiments.

[0083] In the several embodiments provided in this application, it should be understood that the disclosed technical content can be implemented in other ways. The device embodiments described above are merely illustrative; for example, the division of units can be a logical functional division, and in actual implementation, there may be other division methods. For instance, multiple units or components may be combined or integrated into another system, or some features may be ignored or not executed. Furthermore, the displayed or discussed mutual coupling, direct coupling, or communication connection may be through some interfaces; the indirect coupling or communication connection between units or modules may be electrical or other forms.

[0084] The units described as separate components may or may not be physically separate. The components shown as units may or may not be physical units; that is, they may be located in one place or distributed across multiple units. Some or all of the units can be selected to achieve the purpose of this embodiment according to actual needs.

[0085] Furthermore, the functional units in the various embodiments of the present invention can be integrated into one processing unit, or each unit can exist physically separately, or two or more units can be integrated into one unit. The integrated unit can be implemented in hardware or as a software functional unit.

[0086] If the integrated unit is implemented as a software functional unit and sold or used as an independent product, it can be stored in a non-volatile storage medium. Based on this understanding, the technical solution of the present invention, in essence, or the part that contributes to the prior art, or all or part of the technical solution, can be embodied in the form of a software product. This computer software product is stored in a storage medium and includes several instructions to cause a computer device (which may be a personal computer, server, or network device, etc.) to execute all or part of the steps of the methods described in the various embodiments of the present invention. The aforementioned storage medium includes various media capable of storing program code, such as USB flash drives, read-only memory (ROM), random access memory (RAM), portable hard drives, magnetic disks, or optical disks.

[0087] The above description is only a preferred embodiment of the present invention. It should be noted that for those skilled in the art, several improvements and modifications can be made without departing from the principle of the present invention, and these improvements and modifications should also be considered within the scope of protection of the present invention.

Claims

1. A method for determining a pipe jacking construction scheme, characterized in that, include: Acquire multi-source geological data of the target construction area, wherein the multi-source geological data includes borehole exploration data, standard penetration test data, ground-penetrating radar detection data, and soil layer stratification record data; Based on the multi-source geological data, a three-dimensional stratigraphic structure model is constructed. The three-dimensional stratigraphic structure model includes multiple grid cells and represents the spatial distribution of fill soil layer, silty clay layer, silt layer and medium-coarse sand layer. Multiple feature parameters are extracted from the three-dimensional stratigraphic model, including the target soil cohesion, target internal friction angle, target water content, and target stratigraphic dispersion index. Based on the aforementioned multiple characteristic parameters, the adaptability index of the target construction area is calculated; Based on the adaptability index, an initial pipe jacking construction plan is determined for the target construction area, wherein the initial pipe jacking construction plan includes an initial jacking speed, an initial grouting pressure, and an initial jacking force; The initial pipe jacking construction scheme is optimized to obtain the target pipe jacking construction scheme for the target construction area, wherein the target pipe jacking construction scheme includes the target jacking speed, the target grouting pressure, and the target jacking force.

2. The method according to claim 1, characterized in that, The construction of a three-dimensional stratigraphic structure model based on the multi-source geological data includes: Spatial coordinate alignment and unit unification were performed on the multi-source geological data to obtain multiple discrete sampling points; The spatial continuity of the multiple discrete sampling points is reconstructed using the Kriging interpolation method. Combined with geological stratification information, the three-dimensional space is divided according to a preset size to generate the three-dimensional stratigraphic structure model.

3. The method according to claim 1, characterized in that, The extraction of multiple feature parameters from the three-dimensional stratigraphic model includes: The initial soil cohesion, initial internal friction angle, and initial water content of each of the multiple grid cells are extracted from the three-dimensional geological structure model. For each of the grid cells, calculate the standard deviation and range of the initial soil cohesion, the initial internal friction angle, and the initial moisture content; Based on the area of ​​the grid cell, the area of ​​the homogeneous region of the target construction area, the standard deviation, and the range, the initial stratigraphic dispersion index of the grid cell is calculated. The average values ​​of the initial soil cohesion, the initial internal friction angle, the initial water content, and the initial stratigraphic dispersion index of the multiple grid cells are calculated respectively to obtain the target soil cohesion, the target internal friction angle, the target water content, and the target stratigraphic dispersion index.

4. The method according to claim 1, characterized in that, The calculation of the adaptability index of the target construction area based on the multiple feature parameters includes: Based on preset weights, the multiple feature parameters are weighted and summed to obtain the fitness index.

5. The method according to claim 1, characterized in that, The determination of the initial pipe jacking construction scheme for the target construction area based on the adaptability index includes: Based on the relationship between the preset adaptability threshold and the adaptability index, the construction risk level of the target construction area is determined; Based on the construction risk level, the initial pipe jacking construction scheme is determined from the preset rule base.

6. The method according to any one of claims 1 to 5, characterized in that, The optimization of the initial pipe jacking construction plan to obtain the target pipe jacking construction plan for the target construction area includes: Using surface subsidence and pipe section stress as multi-objective optimization functions, a preset optimization algorithm is used to perform multiple rounds of iterative search on the initial jacking speed, the initial grouting pressure, and the initial jacking force to minimize the weighted value of the surface subsidence and the pipe section stress until the convergence condition is met and the iteration stops, thus obtaining the target jacking speed, the target grouting pressure, and the target jacking force.

7. A device for determining a pipe jacking construction scheme, characterized in that, include: The acquisition module is used to acquire multi-source geological data of the target construction area, wherein the multi-source geological data includes borehole exploration data, standard penetration test data, ground-penetrating radar detection data, and soil layer stratification record data; The construction module is used to construct a three-dimensional stratigraphic structure model based on the multi-source geological data. The three-dimensional stratigraphic structure model includes multiple grid cells and represents the spatial distribution of fill soil layer, silty clay layer, silt layer and medium-coarse sand layer. The extraction module is used to extract multiple feature parameters from the three-dimensional stratigraphic structure model, wherein the multiple feature parameters include the target soil cohesion, the target internal friction angle, the target water content, and the target stratigraphic dispersion index. The calculation module is used to calculate the adaptability index of the target construction area based on the multiple feature parameters; The determination module is used to determine the initial pipe jacking construction plan for the target construction area based on the adaptability index, wherein the initial pipe jacking construction plan includes the initial jacking speed, the initial grouting pressure and the initial jacking force; An optimization module is used to optimize the initial pipe jacking construction plan to obtain a target pipe jacking construction plan for the target construction area, wherein the target pipe jacking construction plan includes a target jacking speed, a target grouting pressure, and a target jacking force.

8. A non-volatile storage medium, characterized in that, The non-volatile storage medium includes a stored program, wherein, when the program is executed, it controls the device containing the non-volatile storage medium to execute the pipe jacking construction scheme determination method according to any one of claims 1 to 6.

9. A computer device, characterized in that, include: Memory and processor The memory stores computer programs; The processor is configured to execute a computer program stored in the memory, wherein when the computer program is executed, the processor performs the pipe jacking construction scheme determination method according to any one of claims 1 to 6.

10. A computer program product, comprising a computer program, characterized in that, When the computer program is executed by the processor, it implements the method for determining the pipe jacking construction scheme according to any one of claims 1 to 6.

Images