Construction control method and device of variable-length vibro-replacement stone column based on spatial distribution of collapsible loess thickness

Abstract

This application relates to a construction control method, device, computer equipment, computer-readable storage medium, and computer program product for variable-length vibratory compaction of crushed stone piles based on the spatial distribution of collapsible loess thickness. The method includes: determining the thickness of the collapsible loess layer corresponding to each pile location based on the spatial-parameter mapping relationship of the target construction site and the spatial coordinates of each pile location to be constructed within the target construction site; determining the construction pile length data corresponding to each pile location based on the preset pile tip embedment depth and the corresponding collapsible loess layer thickness; issuing construction control commands to the intelligent vibratory compaction pile driver based on the construction pile length data corresponding to each pile location; and controlling the intelligent vibratory compaction pile driver to perform pile driving operations at each pile location according to the corresponding construction pile length data. This method can accurately respond to geological changes at the construction site.

Description

Technical Field

[0001] This application relates to the field of pile foundation construction technology, and in particular to a construction control method, device, computer equipment, computer-readable storage medium and computer program product for variable pile length vibratory compaction stone piles based on the spatial distribution of collapsible loess thickness. Background Technology

[0002] Collapsible loess is widely distributed in Northwest and North my country. Due to its unique porous structure, it has high strength under natural low humidity conditions, but once it is soaked in water, the structure is rapidly destroyed, the strength drops sharply, and a large amount of additional subsidence occurs, causing serious deformation and damage to buildings, roads, pipelines and other structures built on it.

[0003] Vibro-compacted stone piles are a commonly used and effective method for treating collapsible loess foundations. The principle involves using a vibro-compactor with high-frequency vibration and high-pressure water jetting to compact the foundation soil. Crushed stone is then backfilled into the resulting holes, forming stone piles with good drainage and bearing capacity. The combined effect of the stone piles and the compacted soil between them not only improves the foundation's bearing capacity and reduces settlement but also accelerates soil drainage and consolidation, eliminating or partially eliminating the collapsibility of the loess.

[0004] When designing vibro-compacted stone piles, pile length and bearing capacity are two core design parameters. The pile length must penetrate the collapsible soil layer and be supported on a reliable bearing stratum to fundamentally avoid catastrophic settlement caused by water infiltration of the underlying untreated collapsible soil. Bearing capacity directly relates to the safety of the superstructure. The "Technical Code for Foundation Treatment of Buildings" (JGJ 79-2012) clearly stipulates that in collapsible loess sites, the tip of the stone pile should penetrate the collapsible soil layer and enter the underlying non-collapsible bearing stratum.

[0005] However, in actual engineering sites, the thickness of collapsible loess layers often varies significantly in the lateral direction. Current design methods, under existing technological conditions, struggle to accurately respond to this spatial variability. Summary of the Invention

[0006] Therefore, it is necessary to provide a construction control method, device, computer equipment, computer-readable storage medium, and computer program product for variable pile length vibratory compaction stone piles based on the spatial distribution of collapsible loess thickness, which can accurately respond to geological changes at the construction site.

[0007] Firstly, this application provides a construction control method for variable-length vibratory compaction stone piles based on the spatial distribution of collapsible loess thickness, including:

[0008] Obtain the spatial-parameter mapping relationship of the target construction site; the spatial-parameter mapping relationship includes the correspondence between several spatial coordinates of the target construction site and the thickness of the collapsible loess layer; the spatial coordinates include the coordinates of each spatial grid node in the three-dimensional geological grid model corresponding to the target construction site; the spatial-parameter mapping relationship is obtained by spatial interpolation based on the stratigraphic information corresponding to multiple discrete borehole locations of the target construction site.

[0009] Based on the aforementioned spatial-parameter mapping relationship and the spatial coordinates corresponding to each pile position to be constructed in the target construction site, the thickness of the collapsible loess layer corresponding to each of the pile positions to be constructed is determined.

[0010] Based on the preset pile tip embedment depth and the thickness of the collapsible loess layer corresponding to each of the pile positions to be constructed, the construction pile length data corresponding to each of the pile positions to be constructed is determined; the pile tip embedment depth is the design depth that allows the bottom of the pile to extend into the non-collapsible bearing layer below the collapsible loess layer to meet the requirements of pile foundation stability support.

[0011] Based on the construction pile length data corresponding to each of the pile positions to be constructed, a construction control command is issued to the intelligent vibratory compaction pile machine; the construction control command is used to control the intelligent vibratory compaction pile machine to perform pile making operation at each of the pile positions to be constructed according to the corresponding construction pile length data.

[0012] In one embodiment, the method further includes:

[0013] Obtain a preset bearing capacity determination model; the bearing capacity determination model represents the functional relationship between the construction pile length data and the bearing capacity of the composite foundation; the bearing capacity of the composite foundation is the bearing capacity of the composite foundation composed of vibro-compacted stone piles and the soil between the piles;

[0014] The construction pile length data corresponding to each of the pile locations to be constructed is input into the preset bearing capacity determination model to determine the target composite foundation bearing capacity corresponding to each of the pile locations to be constructed.

[0015] In one embodiment, the step of inputting the construction pile length data corresponding to each of the pile positions to be constructed into the preset bearing capacity determination model to determine the target composite foundation bearing capacity corresponding to each of the pile positions to be constructed includes:

[0016] Based on the construction pile length data corresponding to each of the pile positions to be constructed, determine the vertical bearing capacity of each single pile corresponding to each of the pile positions to be constructed.

[0017] Based on the vertical bearing capacity of each single pile at each of the pile locations to be constructed, determine the target composite foundation bearing capacity corresponding to each of the pile locations to be constructed.

[0018] In one embodiment, the step of issuing construction control commands to the intelligent vibratory compaction pile driver based on the construction pile length data corresponding to each of the pile positions to be constructed includes:

[0019] A digital pile length contour map is generated based on the construction pile length data corresponding to each of the pile locations to be constructed; the digital pile length contour map is used to display the required construction pile length data for each of the pile locations to be constructed in the form of contour lines.

[0020] Based on the digital pile length contour map, the construction control command is issued to the intelligent vibratory compaction pile machine; the construction control command is used to control the intelligent vibratory compaction pile machine to perform pile making operation according to the construction pile length data corresponding to each pile position to be constructed indicated by the digital pile length contour map.

[0021] In one embodiment, obtaining the spatial-parameter mapping relationship of the target construction site includes:

[0022] Obtain the geological information corresponding to multiple discrete borehole locations at the target construction site; the geological information includes the thickness of the collapsible loess layer, characteristic parameters of the bearing layer, characteristic parameters of the soil between piles, and pile design parameters;

[0023] Using a spatial interpolation algorithm, the stratigraphic information of the discrete borehole locations is interpolated to generate a three-dimensional geological grid model covering the target construction site; wherein, each grid node in the three-dimensional geological grid model stores the corresponding collapsible loess layer thickness, bearing layer characteristic parameters, pile soil characteristic parameters, and pile design parameters;

[0024] Based on the three-dimensional geological grid model, the spatial-parameter mapping relationship of the target construction site is obtained.

[0025] In one embodiment, the method further includes:

[0026] Based on the thickness of the collapsible loess layer corresponding to each spatial grid node and the preset pile tip embedment depth, the construction pile length data corresponding to each spatial grid node is determined.

[0027] Based on the construction pile length data corresponding to each of the spatial grid nodes, a digital pile length contour map of the target construction site is generated; the digital pile length contour map is used to display the required construction pile length data for each of the spatial grid nodes in the site in the form of contour lines;

[0028] The digital pile length contour map is sent to the intelligent vibratory compaction pile machine; the intelligent vibratory compaction pile machine is used to perform pile making operation at the corresponding pile position to be constructed according to the construction pile length data corresponding to the pile position to be constructed read from the digital pile length contour map.

[0029] Secondly, this application also provides a construction control device for variable pile length vibratory compaction stone piles based on the spatial distribution of collapsible loess thickness, comprising:

[0030] The relationship acquisition module is used to acquire the spatial-parameter mapping relationship of the target construction site; the spatial-parameter mapping relationship includes the correspondence between several spatial coordinates of the target construction site and the thickness of the collapsible loess layer; the spatial coordinates include the coordinates of each spatial grid node in the three-dimensional geological grid model corresponding to the target construction site; the spatial-parameter mapping relationship is obtained by spatial interpolation based on the stratigraphic information corresponding to multiple discrete borehole locations of the target construction site.

[0031] The thickness determination module is used to determine the thickness of the collapsible loess layer corresponding to each pile position to be constructed based on the space-parameter mapping relationship and the spatial coordinates corresponding to each pile position to be constructed in the target construction site.

[0032] The pile length determination module is used to determine the construction pile length data corresponding to each of the pile positions to be constructed based on the preset pile tip embedment depth and the thickness of the collapsible loess layer corresponding to each of the pile positions to be constructed; the pile tip embedment depth is the design depth that allows the bottom end of the pile to extend into the non-collapsible bearing layer below the collapsible loess layer to meet the requirements of pile foundation stability support.

[0033] The instruction issuing module is used to issue construction control instructions to the intelligent vibratory compaction pile machine according to the construction pile length data corresponding to each of the pile positions to be constructed; the construction control instructions are used to control the intelligent vibratory compaction pile machine to perform pile making operation at each of the pile positions to be constructed according to the corresponding construction pile length data.

[0034] Thirdly, this application also provides a computer device. The computer device includes a memory and a processor, the memory storing a computer program that, when executed by the processor, implements the steps of the method described above.

[0035] Fourthly, this application also provides a computer-readable storage medium. The computer-readable storage medium stores a computer program thereon, which, when executed by a processor, implements the steps of the above-described method.

[0036] Fifthly, this application also provides a computer program product. The computer program product includes a computer program that, when executed by a processor, implements the steps of the above-described method.

[0037] The aforementioned construction control method, device, computer equipment, computer-readable storage medium, and computer program product for variable-length vibratory compaction stone piles based on the spatial distribution of collapsible loess thickness acquire the spatial-parameter mapping relationship of the target construction site. This spatial-parameter mapping relationship includes the correspondence between several spatial coordinates of the target construction site and the thickness of the collapsible loess layer. The spatial coordinates include the coordinates of each spatial grid node in the three-dimensional geological grid model corresponding to the target construction site. The spatial-parameter mapping relationship is obtained through spatial interpolation calculations based on the stratigraphic information corresponding to multiple discrete borehole locations at the target construction site. By transforming discrete survey data into a continuous, computable spatial digital model, a precise, site-wide data foundation is provided for subsequent pile length calculations. This overcomes the limitations of traditional surveys, which can only reflect local points, and lays the data groundwork for differentiated construction. Based on the spatial-parameter mapping relationship and the spatial coordinates of each pile location to be constructed in the target construction site, the thickness of the collapsible loess layer corresponding to each pile location is determined. This allows for the accurate acquisition of the actual collapsible loess layer thickness at each pile location, ensuring that the construction parameters for each pile location are precisely matched to the geological conditions of its location, avoiding related errors. In the design of medium-length piles, safety redundancy or hidden dangers may arise due to variations in geological conditions. This is addressed by determining the construction pile length for each pile location based on the preset pile tip embedment depth and the corresponding thickness of the collapsible loess layer. The pile tip embedment depth is the design depth required to allow the pile bottom to extend into the non-collapsible bearing layer below the collapsible loess layer, thus meeting the stability support requirements of the pile foundation. In this way, spatial geological parameters are directly converted into executable pile length parameters, establishing a deterministic mathematical function for determining pile length based on soil layer thickness. This achieves a precise spatial correlation between pile length and collapsible layer thickness, ensuring the pile foundation penetrates the soil layer. Under the premise of permeable collapse layer, materials are saved to the maximum extent. Construction control instructions are issued to the intelligent vibratory compaction pile machine according to the construction pile length data corresponding to each pile position to be constructed. The construction control instructions are used to control the intelligent vibratory compaction pile machine to perform pile making operation at each pile position according to the corresponding construction pile length data. In this way, the on-site physical construction is guided by digital design results, so that the pile length parameters output by the design can directly drive the intelligent equipment to perform differentiated operations, and a closed-loop control from design to construction is constructed to ensure that each pile position in the whole site is constructed with accurate pile length according to the geological conditions of its location, and can accurately respond to geological changes in the construction site. Attached Figure Description

[0038] To more clearly illustrate the technical solutions in the embodiments of this application or related technologies, the drawings used in the description of the embodiments of this application or related technologies will be briefly introduced below. Obviously, the drawings described below are only some embodiments of this application. For those skilled in the art, other related drawings can be obtained based on these drawings without creative effort.

[0039] Figure 1 This is a schematic flowchart of a construction control method for variable-length vibratory compaction stone piles based on the spatial distribution of collapsible loess thickness in one embodiment.

[0040] Figure 2 This is a flowchart illustrating the steps for obtaining the spatial-parameter mapping relationship of a target construction site in one embodiment;

[0041] Figure 3 This is a flowchart illustrating a construction control method for variable-length vibratory compaction stone piles based on the spatial distribution of collapsible loess thickness, as described in another embodiment.

[0042] Figure 4 This is a structural block diagram of a construction control device for a variable-length vibratory compaction stone pile based on the spatial distribution of collapsible loess thickness in one embodiment.

[0043] Figure 5 This is an internal structural diagram of a computer device in one embodiment. Detailed Implementation

[0044] To make the objectives, technical solutions, and advantages of this application clearer, the following detailed description is provided in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are merely illustrative and not intended to limit the scope of this application.

[0045] It should be noted that the terms "first," "second," etc., used in this application can be used to describe various elements, but these elements are not limited by these terms. These terms are only used to distinguish the first element from the second element. The terms "comprising" and "having," and any variations thereof, used in this application, are intended to cover non-exclusive inclusion. The term "multiple" used in this application refers to two or more. The term "and / or" used in this application refers to one of the embodiments, or any combination of multiple embodiments.

[0046] Before describing the specific embodiments of the present invention in detail, several terms involved in this application will be explained.

[0047] Collapsible loess: refers to loess whose soil structure rapidly breaks down and undergoes significant additional subsidence after being soaked in water under the combined action of its own weight or additional pressure and its own weight.

[0048] Vibro-compacted stone piles: These are piles formed by creating holes in the foundation using vibration and water jetting, filling them with coarse-grained materials such as crushed stone, and then vibrating to compact them. They, together with the original foundation soil, constitute a composite foundation.

[0049] Composite foundation bearing capacity: refers to the ultimate or allowable load per unit area when the superstructure load is borne jointly by crushed stone piles (reinforcement body) and the soil between piles (natural foundation soil).

[0050] Effective pile length: Specifically refers to the total length of the pile body when the crushed stone pile penetrates the collapsible loess layer and the pile tip enters a certain depth range into the lower non-collapsible bearing layer.

[0051] Pile tip bearing layer: Located below the collapsible loess layer, the non-collapsible soil layer (such as stable clay layer, silty clay layer, etc.) that serves as the pile tip support has relatively stable engineering properties and high bearing capacity.

[0052] Variable pile length construction: Within the same site, the actual construction pile length of each crushed stone pile is dynamically adjusted according to the thickness of the collapsible loess at each pile point, instead of using a uniform pile length for the entire site.

[0053] Pile length contour map: A digital construction control map that visually displays the required length of crushed stone piles at each spatial location on the site through contour lines, and can be directly input into the intelligent pile driver control system.

[0054] In one embodiment, such as Figure 1 As shown, a construction control method for variable-length vibratory compaction stone piles based on the spatial distribution of collapsible loess thickness is provided, which can be applied to computer equipment. It is understood that the computer equipment can be a terminal, a server, or a system including both a terminal and a server. This embodiment illustrates the application of this method to a computer equipment, and the method includes the following steps:

[0055] Step S110: Obtain the spatial-parameter mapping relationship of the target construction site.

[0056] The spatial-parameter mapping relationship refers to the mathematical correspondence between the spatial coordinates of the target construction site and the corresponding geological information. The geological parameters in the geological information include the thickness of the collapsible loess layer, the characteristic parameters of the bearing layer, the characteristic parameters of the soil between piles, and the design parameters of the pile body.

[0057] The spatial-parameter mapping relationship includes at least the correspondence between several spatial coordinates of the target construction site and the thickness of the collapsible loess layer; the spatial coordinates include the coordinates of each spatial grid node in the three-dimensional geological grid model corresponding to the target construction site; the spatial-parameter mapping relationship is obtained by spatial interpolation based on the stratigraphic information corresponding to multiple discrete borehole locations of the target construction site.

[0058] Among them, the three-dimensional geological grid model refers to a data model that discretizes the geological body of the target construction site into several grid units according to three-dimensional spatial coordinates, and assigns corresponding geological parameters to each grid node.

[0059] Spatial interpolation refers to the calculation process of deriving parameter values ​​at unsampled points based on known discrete sampled point data and the principle of spatial correlation.

[0060] In practice, multiple boreholes are drilled at the target construction site for engineering exploration. Since the thickness of the collapsible loess layer in a thick, self-weight collapsible loess site often varies considerably, stratigraphic information, including the thickness of the collapsible loess layer, is obtained at each borehole location through drilling sampling or in-situ testing. Subsequently, spatial interpolation algorithms are used to process the stratigraphic information at the discrete borehole locations, constructing a three-dimensional geological grid model covering the entire target construction site. In this model, the site is divided into several spatial grid nodes, each with unique spatial coordinates and storing corresponding geological parameters such as the thickness of the collapsible loess layer, bearing layer characteristic parameters, inter-pile soil characteristic parameters, and pile design parameters. Through this method, a mapping relationship between spatial coordinates and geological parameters is established, which can be stored in the form of a data table or database.

[0061] Step S120: Based on the spatial-parameter mapping relationship and the spatial coordinates of each pile location to be constructed in the target construction site, determine the thickness of the collapsible loess layer corresponding to each pile location to be constructed.

[0062] Among them, the pile location to be constructed refers to the coordinates of the point within the target construction site that needs to be constructed by vibro-compaction stone piles, as determined according to the engineering design plan.

[0063] In practice, based on the superstructure load and layout requirements, the spatial coordinates of each pile location to be constructed are determined on the site plan. These spatial coordinates are then input into a spatial-parameter mapping relationship for querying. Since each grid node in the 3D geological grid model stores the collapsible loess layer thickness parameter, the computer equipment can directly read the collapsible loess layer thickness at the location of the pile to be constructed through coordinate matching. If the pile location falls exactly on a grid node, the collapsible loess layer thickness parameter corresponding to that node is directly read; if it falls between grid nodes, the collapsible loess layer thickness parameter at that location can be determined by interpolation of the collapsible loess layer thickness parameters corresponding to adjacent nodes.

[0064] Step S130: Determine the construction pile length data corresponding to each of the pile positions to be constructed based on the preset pile tip embedment depth and the thickness of the collapsible loess layer corresponding to each of the pile positions to be constructed.

[0065] The pile tip embedment depth is the design depth that allows the bottom of the pile to extend into the non-collapseable bearing layer below the collapsible loess layer, in order to meet the requirements for stable support of the pile foundation.

[0066] In practice, an embedment depth is preset based on engineering design specifications or experience to ensure the stable support of the pile tip on the underlying non-collapseable bearing layer. This depth is typically between 0.5 meters and 1.5 meters. The thickness of the collapsible loess layer corresponding to each pile location to be constructed, as determined in step S120, is added to the preset pile tip embedment depth to obtain the effective construction pile length (i.e., construction pile length data) for that pile location. The calculation formula is: Construction pile length data = Collapsible loess layer thickness + Pile tip embedment depth. Therefore, for each pile location to be constructed across the entire site, the computer automatically generates corresponding construction pile length data, which precisely penetrates the collapsible layer at that point and extends into the bearing layer.

[0067] Step S140: Based on the construction pile length data corresponding to each pile location to be constructed, a construction control command is issued to the intelligent vibratory compaction pile machine.

[0068] Among them, the construction control command is used to control the intelligent vibratory compaction pile driver to perform pile making operation at each pile location to be constructed according to the corresponding pile length data.

[0069] Among them, intelligent vibratory compaction pile drivers refer to vibratory compaction construction equipment equipped with a real-time dynamic positioning system, an automatic control system, and a data communication interface.

[0070] In practice, the construction pile length data corresponding to each pile location to be constructed, calculated in step S130, is processed by a computer program to generate construction control instructions that can be recognized by the control system of the intelligent vibratory compaction pile machine. These instructions can be a standard format file containing the spatial coordinates of each pile location to be constructed and its corresponding construction pile length data. These instructions are then sent to the intelligent vibratory compaction pile machine equipped with a real-time dynamic positioning system via a data interface or mobile storage medium. During on-site construction, the intelligent vibratory compaction pile machine automatically moves to the spatial coordinates of the pile location to be constructed. The control system reads the construction pile length data corresponding to these spatial coordinates, and the vibratory compactor begins to sink the pile. When the corresponding depth is reached, the control system automatically prompts or controls the termination of sinking, and then performs filling and compaction operations at that pile location. After completing the construction of that pile location, the machine moves to the next pile location to be constructed, repeating the above process until all pile locations to be constructed are accurately constructed according to their respective construction pile length data. This completes the construction of a differentiated, non-uniform length vibratory compaction stone pile foundation system where the pile length perfectly matches the spatial distribution of the collapsible loess thickness.

[0071] In the aforementioned construction control method for variable-length vibratory compaction stone piles based on the spatial distribution of collapsible loess thickness, the spatial-parameter mapping relationship of the target construction site is obtained. This spatial-parameter mapping relationship includes the correspondence between several spatial coordinates of the target construction site and the thickness of the collapsible loess layer. The spatial coordinates include the coordinates of each spatial grid node in the three-dimensional geological grid model corresponding to the target construction site. The spatial-parameter mapping relationship is obtained by spatial interpolation based on the stratigraphic information corresponding to multiple discrete borehole locations at the target construction site. In this way, discrete exploration data is transformed into continuous and computable data. The spatial digital model provides a precise, site-wide data foundation for subsequent pile length calculations, overcoming the limitations of traditional surveys that only reflect local locations, and laying the data foundation for differentiated construction. By using a spatial-parameter mapping relationship and the spatial coordinates of each pile location to be constructed within the target construction site, the thickness of the collapsible loess layer corresponding to each pile location is determined. This allows for the accurate acquisition of the actual collapsible loess layer thickness at each pile location, ensuring that the construction parameters for each pile location are precisely matched to the geological conditions of its location, avoiding the problems caused by geological conditions in the design of medium-length piles in related technologies. This addresses safety redundancy or potential hazards caused by variations in components. By determining the construction pile length data for each pile location based on the preset pile tip embedment depth and the corresponding thickness of the collapsible loess layer, the pile tip embedment depth is defined as the design depth to ensure the pile bottom extends into the non-collapsible bearing layer below the collapsible loess layer, thus meeting the requirements for stable pile foundation support. In this way, spatial geological parameters are directly converted into executable pile length parameters, establishing a deterministic mathematical function for determining pile length based on soil layer thickness. This achieves a precise spatial correlation between pile length and collapsible layer thickness, ensuring that the pile foundation penetrates the collapsible layer. To maximize material conservation, construction control commands are issued to the intelligent vibratory compaction pile driver based on the corresponding pile length data for each pile location to be constructed. These commands control the intelligent vibratory compaction pile driver to perform pile driving operations at each pile location according to the corresponding pile length data. In this way, digital design results guide on-site physical construction, enabling the pile length parameters output by the design to directly drive the intelligent equipment to perform differentiated operations. This establishes a closed-loop control system from design to construction, ensuring that each pile location on the entire site is constructed with the precise pile length according to its geological conditions, and accurately responding to geological changes on the construction site.

[0072] In some embodiments, each spatial grid node (x, y) stores the following digitized geological parameters that can be directly used in calculations:

[0073] Collapsible loess layer thickness Hs(x,y): The total thickness of the collapsible loess layer at this spatial coordinate.

[0074] Bearing stratum characteristic parameters: type of bearing soil layer, characteristic value of pile end resistance ;

[0075] Characteristic parameters of soil between piles: characteristic values ​​of the bearing capacity of the natural foundation after treatment Utilization coefficient of bearing capacity of soil between piles ;

[0076] Pile design parameters: Preliminary selected pile diameter d, pile cross-sectional area Area replacement rate .

[0077] Data on the length of construction piles required for physical construction:

[0078] L(x,y) = Hs(x,y) +ΔH

[0079] Where L(x,y) represents the construction pile length data for the spatial grid node (x,y). ΔH is the preset pile tip embedment depth. This function generates a unique and optimal effective pile length L(x,y) for each coordinate point (x, y) in the site, which precisely penetrates the collapsible layer at that point and is stably supported on the bearing layer.

[0080] In some embodiments, the method further includes: obtaining a preset bearing capacity determination model; the bearing capacity determination model characterizes the functional relationship between the construction pile length data and the composite foundation bearing capacity; the composite foundation bearing capacity is the bearing capacity of the composite foundation composed of vibro-compacted stone piles and the soil between the piles; inputting the construction pile length data corresponding to each pile location to be constructed into the preset bearing capacity determination model to determine the target composite foundation bearing capacity corresponding to each pile location to be constructed.

[0081] In some embodiments, the bearing capacity determination model can be a mathematical model of the functional relationship between the vertical bearing capacity of a single pile or the bearing capacity of a composite foundation and relevant calculation parameters.

[0082] In practice, a pre-defined bearing capacity determination model is obtained. This model is established based on current standards, such as... ,in Let be the characteristic value of the composite foundation bearing capacity at (x, y). This is the single pile bearing capacity utilization factor. For area replacement rate, This represents the characteristic value of the vertical bearing capacity of a single pile. The construction pile length data for each construction pile location is input into this model, based on the characteristic value of the vertical bearing capacity of a single pile. It is a function of the construction pile length data, which automatically calculates the characteristic value of the composite foundation bearing capacity at each pile location to be constructed in the entire field, and uses it as the target composite foundation bearing capacity.

[0083] The technical solution of this embodiment obtains a preset bearing capacity determination model; the bearing capacity determination model represents the functional relationship between the construction pile length data and the composite foundation bearing capacity; the composite foundation bearing capacity is the bearing capacity of the composite foundation composed of vibro-compacted stone piles and the soil between the piles; the construction pile length data corresponding to each pile location to be constructed is input into the preset bearing capacity determination model to determine the target composite foundation bearing capacity corresponding to each pile location to be constructed. In this way, automatic pre-assessment of the composite foundation bearing capacity within the entire pile location space is achieved, enabling a comprehensive check of foundation safety before construction, timely identification of local areas that do not meet design requirements, and targeted adjustments, thereby improving design reliability.

[0084] In some embodiments, the step of inputting the construction pile length data corresponding to each of the pile positions to be constructed into the preset bearing capacity determination model to determine the target composite foundation bearing capacity corresponding to each of the pile positions to be constructed includes: determining the vertical bearing capacity of a single pile corresponding to each of the pile positions to be constructed based on the construction pile length data corresponding to each of the pile positions to be constructed; and determining the target composite foundation bearing capacity corresponding to each of the pile positions to be constructed based on the vertical bearing capacity of a single pile corresponding to each of the pile positions to be constructed.

[0085] Among them, the vertical bearing capacity of a single pile refers to the maximum load value that a single pile can withstand under vertical load.

[0086] In practice, based on the pile length data corresponding to each pile location to be constructed, the vertical bearing capacity of a single pile at each location is first determined. The formula for calculating the characteristic value of the vertical bearing capacity of a single pile can be expressed as follows:

[0087]

[0088] in, The number of soil layers the pile penetrates. The perimeter of the pile, For the first pile Characteristic values ​​of lateral resistance of soil layers Let be the thickness of the i-th soil layer within the pile length range. This is the pile end resistance utilization factor. This represents the characteristic value of the pile tip resistance. Since the construction pile length data determines the total thickness of each soil layer it penetrates, the vertical bearing capacity of a single pile is dynamically determined as the construction pile length changes. =L. After obtaining the vertical bearing capacity of a single pile, substitute it into the formula for calculating the bearing capacity of the composite foundation to determine the target composite foundation bearing capacity corresponding to each pile location to be constructed.

[0089] The technical solution of this embodiment determines the vertical bearing capacity of a single pile at each of the pile locations to be constructed based on the corresponding pile length data; and determines the target composite foundation bearing capacity at each of the pile locations to be constructed based on the vertical bearing capacity of the single pile at each of the pile locations. This further clarifies the calculation path for the bearing capacity. By calculating the single pile bearing capacity and the composite foundation bearing capacity step by step, the calculation process is logically clear and can fully reflect the impact of pile length changes on the bearing capacity, thus improving the accuracy of the assessment.

[0090] In some embodiments, based on the construction pile length data corresponding to each pile location to be constructed, a construction control command is issued to the intelligent vibratory compaction pile machine, including: generating a digital pile length contour map based on the construction pile length data corresponding to each pile location to be constructed; the digital pile length contour map is used to display the required construction pile length data for each pile location to be constructed in the form of contour lines; and issuing a construction control command to the intelligent vibratory compaction pile machine based on the digital pile length contour map; the construction control command is used to control the intelligent vibratory compaction pile machine to perform pile driving operations according to the construction pile length data corresponding to each pile location to be constructed indicated by the digital pile length contour map.

[0091] Specifically, the digital pile length contour map refers to a graphical file formed by connecting the pile length data of the entire construction site through contour lines, which is used to intuitively display the spatial distribution of pile lengths within the site.

[0092] In practice, the generated data on the construction pile lengths for each pile location to be constructed are imported into a computer program, and a digital pile length contour map is generated using drawing software. This map displays the required construction pile length data for each pile location on the site in the form of contour lines, and can be output in standardized data formats such as dxf and txt coordinate files. Subsequently, this digital pile length contour map is sent as a construction control command to the intelligent vibratory compaction pile driver, which then performs the pile driving operation based on the coordinates of each pile location and the corresponding construction pile length data indicated by the map.

[0093] The technical solution of this embodiment generates a digital pile length contour map based on the corresponding pile length data for each pile location to be constructed. This digital pile length contour map displays the required pile length data for each pile location on the site using contour lines. Based on the digital pile length contour map, construction control commands are issued to the intelligent vibratory compaction pile driver. These commands control the intelligent vibratory compaction pile driver to perform pile driving operations according to the pile length data corresponding to each pile location indicated by the digital pile length contour map. In this way, abstract pile length data is transformed into intuitive, machine-readable graphical instructions, facilitating verification by construction personnel and directly driving the intelligent vibratory compaction pile driver, thus improving construction efficiency and accuracy.

[0094] In some embodiments, such as Figure 2As shown, step S110 involves obtaining the spatial-parameter mapping relationship of the target construction site, including steps S210 to S230:

[0095] Step S210: Obtain the formation information corresponding to multiple discrete borehole locations at the target construction site.

[0096] The geological information includes the following geological parameters: thickness of collapsible loess layer, characteristic parameters of bearing layer, characteristic parameters of soil between piles, and pile design parameters.

[0097] In practice, the geological information corresponding to multiple discrete borehole locations at the target construction site is obtained through conventional engineering survey methods or in-situ testing.

[0098] Step S220: Using a spatial interpolation algorithm, the stratigraphic information of the discrete borehole locations is interpolated to generate a three-dimensional geological grid model covering the target construction site.

[0099] The three-dimensional geological grid model stores the corresponding thickness of the collapsible loess layer, characteristic parameters of the bearing layer, characteristic parameters of the soil between piles, and design parameters of the pile body in each grid node.

[0100] In practice, a spatial interpolation algorithm is used to interpolate the geological information at discrete borehole locations, thereby generating a three-dimensional geological grid model covering the entire target construction site. In this model, each grid node not only has spatial coordinates, but also stores the corresponding collapsible loess layer thickness, bearing layer characteristic parameters, inter-pile soil characteristic parameters, and pile design parameters.

[0101] Step S230: Based on the three-dimensional geological grid model, obtain the spatial-parameter mapping relationship of the target construction site.

[0102] In practice, based on this three-dimensional geological grid model, the relationship between each spatial coordinate and the corresponding geological parameter can be extracted, that is, the spatial-parameter mapping relationship can be obtained.

[0103] The technical solution of this embodiment obtains the stratigraphic information corresponding to multiple discrete borehole locations at the target construction site. This stratigraphic information includes the thickness of the collapsible loess layer, characteristic parameters of the bearing stratum, characteristic parameters of the soil between piles, and pile design parameters. A spatial interpolation algorithm is used to interpolate the stratigraphic information at the discrete borehole locations, generating a three-dimensional geological grid model covering the target construction site. Each grid node in the three-dimensional geological grid model stores the corresponding thickness of the collapsible loess layer, characteristic parameters of the bearing stratum, characteristic parameters of the soil between piles, and pile design parameters. Based on the three-dimensional geological grid model, the spatial-parameter mapping relationship of the target construction site is obtained. This clarifies the specific construction path of the three-dimensional geological grid model, integrates multi-dimensional geological parameters into the same model, provides complete parameter input for subsequent accurate calculation of pile length and bearing capacity, and ensures the richness and accuracy of the data source.

[0104] In some embodiments, the method further includes: determining the construction pile length data corresponding to each spatial grid node based on the thickness of the collapsible loess layer corresponding to each spatial grid node and the preset pile tip embedment depth; generating a digital pile length contour map of the target construction site based on the construction pile length data corresponding to each spatial grid node; sending the digital pile length contour map to an intelligent vibratory compaction pile driver; and the intelligent vibratory compaction pile driver performing pile driving operations at the corresponding pile positions to be constructed according to the construction pile length data corresponding to the pile positions to be constructed read from the digital pile length contour map.

[0105] Digital pile length contour maps are used to display the required construction pile length data for each spatial grid node in the site in the form of contour lines; based on the spatial coordinates of the pile to be constructed, the construction pile length data corresponding to the pile to be constructed is read from the digital pile length contour map.

[0106] In practice, based on the thickness of the collapsible loess layer corresponding to each spatial grid node in the 3D geological grid model and the preset pile tip embedment depth, the construction pile length data corresponding to each node is calculated. Then, based on the coordinates of these nodes and the pile length data, a digital pile length contour map of the target construction site is generated. This map displays the required construction pile length data for each grid node in the site in the form of contour lines. During actual construction, the digital pile length contour map is output in a standardized data format (such as dxf, txt coordinate files, etc.) and directly imported into an intelligent vibratory compaction pile driver equipped with a real-time dynamic positioning system, automatic control system, and data communication interface via a data interface or mobile media. At the construction site, the intelligent vibratory compaction pile driver automatically performs the following differentiated construction actions based on the digital pile length contour map received by its control system:

[0107] 1. The piling machine automatically moves to the spatial coordinates (x, y) of the pile location to be constructed.

[0108] 2. The control system automatically reads the construction pile length data L(x,y) corresponding to the pile location to be constructed from the digital pile length contour map.

[0109] 3. The vibratory compactor begins to drive the pile. After reaching the target depth L(x,y), the control system automatically prompts or controls the termination of driving, and then fills and vibrates the pile at that location.

[0110] 4. After completing the construction of this pile, move to the next pile location and repeat the above process until all piles on the site are constructed precisely according to their respective design pile lengths.

[0111] The technical solution of this embodiment determines the construction pile length data corresponding to each spatial grid node based on the thickness of the collapsible loess layer and the preset pile tip embedment depth; generates a digital pile length contour map of the target construction site based on the construction pile length data corresponding to each spatial grid node; sends the digital pile length contour map to the intelligent vibratory compaction pile driver; and the intelligent vibratory compaction pile driver performs pile driving operation at the corresponding pile position to be constructed according to the construction pile length data corresponding to the pile position to be constructed read from the digital pile length contour map.

[0112] This provides a convenient method for reading data from a 3D model to the specific construction pile length, enabling construction personnel or machines to quickly and accurately obtain the design pile length at any point, further improving the efficiency and accuracy of construction control.

[0113] In some other embodiments, after determining the construction pile length data corresponding to each spatial grid node, the construction pile length data corresponding to each spatial grid node can be input into a preset bearing capacity determination model, divided by the target composite foundation bearing capacity corresponding to each spatial grid node, to complete the pre-evaluation of the bearing capacity of each spatial point in the entire field, and a bearing capacity distribution cloud map can be generated based on the target composite foundation bearing capacity corresponding to each spatial grid node for comprehensive verification of foundation safety.

[0114] In another embodiment, such as Figure 3 As shown, a construction control method for variable-length vibratory compaction stone piles based on the spatial distribution of collapsible loess thickness is provided. Taking the application of this method to computer equipment as an example, the method includes the following steps:

[0115] Step S302: Obtain the formation information corresponding to multiple discrete borehole locations at the target construction site.

[0116] Step S304: Using a spatial interpolation algorithm, the stratigraphic information of the discrete borehole locations is interpolated to generate a three-dimensional geological grid model covering the target construction site.

[0117] Step S306: Based on the three-dimensional geological grid model, obtain the spatial-parameter mapping relationship of the target construction site.

[0118] Step S308: Based on the spatial-parameter mapping relationship and the spatial coordinates of each pile location to be constructed in the target construction site, determine the thickness of the collapsible loess layer corresponding to each pile location to be constructed.

[0119] Step S310: Determine the construction pile length data corresponding to each pile location based on the preset pile tip embedment depth and the thickness of the collapsible loess layer corresponding to each pile location to be constructed.

[0120] Step S312: Generate a digital pile length contour map based on the construction pile length data corresponding to each pile location to be constructed.

[0121] Step S314: Based on the digital pile length contour map, issue construction control instructions to the intelligent vibratory pile driver.

[0122] Step S316: Determine the vertical bearing capacity of each single pile at each pile location to be constructed based on the corresponding pile length data.

[0123] Step S318: Determine the target composite foundation bearing capacity for each pile location to be constructed based on the vertical bearing capacity of each single pile.

[0124] It should be noted that the specific limitations of the above steps can be found in the above description of the specific limitations of a construction control method for variable-length vibratory compaction stone piles based on the spatial distribution of collapsible loess thickness.

[0125] It should be understood that although the steps in the flowcharts of the embodiments described above are shown sequentially according to the arrows, these steps are not necessarily executed in the order indicated by the arrows. Unless explicitly stated herein, there is no strict order restriction on the execution of these steps, and they can be executed in other orders. Moreover, at least some steps in the flowcharts of the embodiments described above may include multiple steps or multiple stages. These steps or stages are not necessarily completed at the same time, but can be executed at different times. The execution order of these steps or stages is not necessarily sequential, but can be performed alternately or in turn with other steps or at least some of the steps or stages in other steps. It is understood that the steps in different embodiments can be freely combined as needed, and all non-contradictory solutions formed by such combinations are within the scope of protection of this application.

[0126] Based on the same inventive concept, this application also provides a construction control device for variable-length vibratory compaction stone piles based on the spatial distribution of collapsible loess thickness, used to implement the aforementioned construction control method for variable-length vibratory compaction stone piles based on the spatial distribution of collapsible loess thickness. The solution provided by this device is similar to the solution described in the above method. Therefore, the specific limitations of one or more embodiments of the construction control device for variable-length vibratory compaction stone piles based on the spatial distribution of collapsible loess thickness provided below can be found in the limitations of the construction control method for variable-length vibratory compaction stone piles based on the spatial distribution of collapsible loess thickness above, and will not be repeated here.

[0127] In one exemplary embodiment, such as Figure 4 As shown, a construction control device for variable-length vibratory compaction stone piles based on the spatial distribution of collapsible loess thickness is provided, including: a relationship acquisition module 410, a thickness determination module 420, a pile length determination module 430, and a command issuance module 440, wherein:

[0128] The relationship acquisition module 410 is used to acquire the spatial-parameter mapping relationship of the target construction site; the spatial-parameter mapping relationship includes the correspondence between several spatial coordinates of the target construction site and the thickness of the collapsible loess layer; the spatial coordinates include the coordinates of each spatial grid node in the three-dimensional geological grid model corresponding to the target construction site; the spatial-parameter mapping relationship is obtained by spatial interpolation based on the stratigraphic information corresponding to multiple discrete borehole locations of the target construction site.

[0129] The thickness determination module 420 is used to determine the thickness of the collapsible loess layer corresponding to each pile position to be constructed based on the space-parameter mapping relationship and the spatial coordinates corresponding to each pile position to be constructed in the target construction site.

[0130] The pile length determination module 430 is used to determine the construction pile length data corresponding to each of the pile positions to be constructed based on the preset pile tip embedment depth and the thickness of the collapsible loess layer corresponding to each of the pile positions to be constructed; the pile tip embedment depth is the design depth that allows the bottom of the pile to extend into the non-collapsible bearing layer below the collapsible loess layer to meet the requirements of pile foundation stability support.

[0131] The instruction issuing module 440 is used to issue construction control instructions to the intelligent vibratory compaction pile machine according to the construction pile length data corresponding to each of the pile positions to be constructed; the construction control instructions are used to control the intelligent vibratory compaction pile machine to perform pile making operation at each of the pile positions to be constructed according to the corresponding construction pile length data.

[0132] In one embodiment, the device further includes: a bearing capacity determination module, used to acquire a preset bearing capacity determination model; the bearing capacity determination model characterizes the functional relationship between the construction pile length data and the composite foundation bearing capacity; the composite foundation bearing capacity is the bearing capacity of the composite foundation composed of vibro-compacted stone piles and the soil between the piles; the construction pile length data corresponding to each of the pile positions to be constructed are input into the preset bearing capacity determination model to determine the target composite foundation bearing capacity corresponding to each of the pile positions to be constructed.

[0133] In one embodiment, the bearing capacity determination module is specifically used to determine the vertical bearing capacity of a single pile corresponding to each of the pile positions to be constructed based on the construction pile length data corresponding to each of the pile positions to be constructed; and to determine the target composite foundation bearing capacity corresponding to each of the pile positions to be constructed based on the vertical bearing capacity of a single pile corresponding to each of the pile positions to be constructed.

[0134] In one embodiment, the instruction issuing module 440 is specifically used to generate a digital pile length contour map based on the construction pile length data corresponding to each of the pile positions to be constructed; the digital pile length contour map is used to display the required construction pile length data for each of the pile positions to be constructed in the form of contour lines; based on the digital pile length contour map, the construction control instruction is issued to the intelligent vibratory compaction pile machine; the construction control instruction is used to control the intelligent vibratory compaction pile machine to perform pile driving operation according to the construction pile length data corresponding to each of the pile positions to be constructed indicated by the digital pile length contour map.

[0135] In one embodiment, the relationship acquisition module 410 is specifically used to acquire the stratigraphic information corresponding to multiple discrete borehole locations of the target construction site; the stratigraphic information includes the thickness of the collapsible loess layer, bearing layer characteristic parameters, pile inter-soil characteristic parameters, and pile design parameters; using a spatial interpolation algorithm, the stratigraphic information of the discrete borehole locations is interpolated to generate the three-dimensional geological grid model covering the target construction site; wherein, each grid node in the three-dimensional geological grid model stores the corresponding collapsible loess layer thickness, bearing layer characteristic parameters, pile inter-soil characteristic parameters, and pile design parameters; based on the three-dimensional geological grid model, the spatial-parameter mapping relationship of the target construction site is obtained.

[0136] In one embodiment, the device further includes: a map generation module, configured to determine the construction pile length data corresponding to each of the spatial grid nodes based on the thickness of the collapsible loess layer corresponding to each of the spatial grid nodes and the preset pile tip embedment depth; generate a digital pile length contour map of the target construction site based on the construction pile length data corresponding to each of the spatial grid nodes; the digital pile length contour map is used to display the required construction pile length data for each of the spatial grid nodes in the form of contour lines; send the digital pile length contour map to the intelligent vibratory compaction pile driver; the intelligent vibratory compaction pile driver is used to perform pile driving operation at the corresponding pile position to be constructed according to the construction pile length data corresponding to the pile position to be constructed read from the digital pile length contour map.

[0137] The various modules in the construction control device for variable-length vibratory compaction stone piles based on the spatial distribution of collapsible loess thickness can be implemented entirely or partially through software, hardware, or a combination thereof. These modules can be embedded in or independent of the processor in a computer device, or stored in the computer device's memory as software, so that the processor can call and execute the corresponding operations of each module.

[0138] In one exemplary embodiment, a computer device is provided, which may be a terminal, and its internal structure diagram may be as follows: Figure 5As shown, the computer device includes a processor, memory, input / output interface, communication interface, display unit, and input device. The processor, memory, and input / output interface are connected via a system bus, and the communication interface, display unit, and input device are also connected to the system bus via the input / output interface. The processor provides computing and control capabilities. The memory includes non-volatile storage media and internal memory. The non-volatile storage media stores the operating system and computer programs. The internal memory provides an environment for the operation of the operating system and computer programs in the non-volatile storage media. The input / output interface is used for exchanging information between the processor and external devices. The communication interface is used for wired or wireless communication with external terminals; wireless communication can be achieved through Wi-Fi, mobile cellular networks, Near Field Communication (NFC), or other technologies. When the computer program is executed by the processor, it implements a construction control method for variable-length vibratory compaction stone piles based on the spatial distribution of collapsible loess thickness. The display unit is used to form a visually visible image and can be a display screen, projection device, or virtual reality imaging device. The display screen can be an LCD screen or an e-ink screen. The input device of the computer device can be a touch layer covering the display screen, or buttons, trackballs, or touchpads set on the casing of the computer device, or external keyboards, touchpads, or mice, etc.

[0139] Those skilled in the art will understand that Figure 5 The structure shown is merely a block diagram of a portion of the structure related to the present application and does not constitute a limitation on the computer device to which the present application is applied. Specific computer devices may include more or fewer components than those shown in the figure, or combine certain components, or have different component arrangements.

[0140] In one embodiment, a computer device is also provided, including a memory and a processor, wherein the memory stores a computer program, and the processor executes the computer program to implement the steps in the above method embodiments.

[0141] In one embodiment, a computer-readable storage medium is provided having a computer program stored thereon that, when executed by a processor, implements the steps in the above method embodiments.

[0142] In one embodiment, a computer program product is provided, including a computer program that, when executed by a processor, implements the steps in the above method embodiments.

[0143] It should be noted that the user information (including but not limited to user device information, user personal information, etc.) and data (including but not limited to data used for analysis, data stored, data displayed, etc.) involved in this application are all information and data authorized by the user or fully authorized by all parties, and the collection, use and processing of the relevant data must comply with relevant regulations.

[0144] Those skilled in the art will understand that all or part of the processes in the methods of the above embodiments can be implemented by a computer program instructing related hardware. The computer program can be stored in a non-volatile computer-readable storage medium, and when executed, it can include the processes of the embodiments of the above methods. Any references to memory, databases, or other media used in the embodiments provided in this application can include at least one of non-volatile memory and volatile memory. Non-volatile memory can include read-only memory (ROM), magnetic tape, floppy disk, flash memory, optical memory, high-density embedded non-volatile memory, resistive random access memory (ReRAM), magnetic random access memory (MRAM), ferroelectric random access memory (FRAM), phase change memory (PCM), graphene memory, etc. Volatile memory can include random access memory (RAM) or external cache memory, etc. By way of illustration and not limitation, RAM can take many forms, such as Static Random Access Memory (SRAM) or Dynamic Random Access Memory (DRAM). The databases involved in the embodiments provided in this application may include at least one type of relational database and non-relational database. Non-relational databases may include, but are not limited to, blockchain-based distributed databases. The processors involved in the embodiments provided in this application may be general-purpose processors, central processing units, graphics processing units, digital signal processors, programmable logic devices, quantum computing-based data processing logic devices, artificial intelligence (AI) processors, etc., and are not limited to these.

[0145] The technical features of the above embodiments can be combined in any way. For the sake of brevity, not all possible combinations of the technical features in the above embodiments are described. However, as long as there is no contradiction in the combination of these technical features, they should be considered to be within the scope of this application.

[0146] The embodiments described above are merely illustrative of several implementation methods of this application, and while the descriptions are specific and detailed, they should not be construed as limiting the scope of this patent application. It should be noted that those skilled in the art can make various modifications and improvements without departing from the concept of this application, and these all fall within the protection scope of this application. Therefore, the protection scope of this application should be determined by the appended claims.

Claims

1. A construction control method for variable-length vibratory compaction stone piles based on the spatial distribution of collapsible loess thickness, characterized in that, The method includes: Obtain the spatial-parameter mapping relationship of the target construction site; the spatial-parameter mapping relationship includes the correspondence between several spatial coordinates of the target construction site and the thickness of the collapsible loess layer; the spatial coordinates include the coordinates of each spatial grid node in the three-dimensional geological grid model corresponding to the target construction site; the spatial-parameter mapping relationship is obtained by spatial interpolation based on the stratigraphic information corresponding to multiple discrete borehole locations of the target construction site. Based on the aforementioned spatial-parameter mapping relationship and the spatial coordinates corresponding to each pile position to be constructed in the target construction site, the thickness of the collapsible loess layer corresponding to each of the pile positions to be constructed is determined. Based on the preset pile tip embedment depth and the thickness of the collapsible loess layer corresponding to each of the pile positions to be constructed, the construction pile length data corresponding to each of the pile positions to be constructed is determined; the pile tip embedment depth is the design depth that allows the bottom of the pile to extend into the non-collapsible bearing layer below the collapsible loess layer to meet the requirements of pile foundation stability support. Based on the construction pile length data corresponding to each of the pile positions to be constructed, a construction control command is issued to the intelligent vibratory compaction pile machine; the construction control command is used to control the intelligent vibratory compaction pile machine to perform pile making operation at each of the pile positions to be constructed according to the corresponding construction pile length data.

2. The method according to claim 1, characterized in that, The method further includes: Obtain a preset bearing capacity determination model; the bearing capacity determination model represents the functional relationship between the construction pile length data and the bearing capacity of the composite foundation; the bearing capacity of the composite foundation is the bearing capacity of the composite foundation composed of vibro-compacted stone piles and the soil between the piles; The construction pile length data corresponding to each of the pile locations to be constructed is input into the preset bearing capacity determination model to determine the target composite foundation bearing capacity corresponding to each of the pile locations to be constructed.

3. The method according to claim 2, characterized in that, The step of inputting the construction pile length data corresponding to each of the pile positions to be constructed into the preset bearing capacity determination model to determine the target composite foundation bearing capacity corresponding to each of the pile positions to be constructed includes: Based on the construction pile length data corresponding to each of the pile positions to be constructed, determine the vertical bearing capacity of each single pile corresponding to each of the pile positions to be constructed. Based on the vertical bearing capacity of each single pile at each of the pile locations to be constructed, determine the target composite foundation bearing capacity corresponding to each of the pile locations to be constructed.

4. The method according to claim 1, characterized in that, The step of issuing construction control commands to the intelligent vibratory compaction pile driver based on the construction pile length data corresponding to each of the pile positions to be constructed includes: A digital pile length contour map is generated based on the construction pile length data corresponding to each of the pile locations to be constructed; the digital pile length contour map is used to display the required construction pile length data for each of the pile locations to be constructed in the form of contour lines. Based on the digital pile length contour map, the construction control command is issued to the intelligent vibratory compaction pile machine; the construction control command is used to control the intelligent vibratory compaction pile machine to perform pile making operation according to the construction pile length data corresponding to each pile position to be constructed indicated by the digital pile length contour map.

5. The method according to claim 1, characterized in that, The acquisition of the spatial-parameter mapping relationship of the target construction site includes: Obtain the geological information corresponding to multiple discrete borehole locations at the target construction site; the geological information includes the thickness of the collapsible loess layer, characteristic parameters of the bearing layer, characteristic parameters of the soil between piles, and pile design parameters; Using a spatial interpolation algorithm, the stratigraphic information of the discrete borehole locations is interpolated to generate a three-dimensional geological grid model covering the target construction site; wherein, each grid node in the three-dimensional geological grid model stores the corresponding collapsible loess layer thickness, bearing layer characteristic parameters, pile soil characteristic parameters, and pile design parameters; Based on the three-dimensional geological grid model, the spatial-parameter mapping relationship of the target construction site is obtained.

6. The method according to claim 1, characterized in that, The method further includes: Based on the thickness of the collapsible loess layer corresponding to each spatial grid node and the preset pile tip embedment depth, the construction pile length data corresponding to each spatial grid node is determined. Based on the construction pile length data corresponding to each of the spatial grid nodes, a digital pile length contour map of the target construction site is generated; the digital pile length contour map is used to display the required construction pile length data for each of the spatial grid nodes in the site in the form of contour lines; The digital pile length contour map is sent to the intelligent vibratory compaction pile machine; the intelligent vibratory compaction pile machine is used to perform pile making operation at the corresponding pile position to be constructed according to the construction pile length data corresponding to the pile position to be constructed read from the digital pile length contour map.

7. A construction control device for variable-length vibratory compaction stone piles based on the spatial distribution of collapsible loess thickness, characterized in that, The device includes: The relationship acquisition module is used to acquire the spatial-parameter mapping relationship of the target construction site; the spatial-parameter mapping relationship includes the correspondence between several spatial coordinates of the target construction site and the thickness of the collapsible loess layer; the spatial coordinates include the coordinates of each spatial grid node in the three-dimensional geological grid model corresponding to the target construction site; the spatial-parameter mapping relationship is obtained by spatial interpolation based on the stratigraphic information corresponding to multiple discrete borehole locations of the target construction site. The thickness determination module is used to determine the thickness of the collapsible loess layer corresponding to each pile position to be constructed based on the space-parameter mapping relationship and the spatial coordinates corresponding to each pile position to be constructed in the target construction site. The pile length determination module is used to determine the construction pile length data corresponding to each of the pile positions to be constructed based on the preset pile tip embedment depth and the thickness of the collapsible loess layer corresponding to each of the pile positions to be constructed; the pile tip embedment depth is the design depth that allows the bottom end of the pile to extend into the non-collapsible bearing layer below the collapsible loess layer to meet the requirements of pile foundation stability support. The instruction issuing module is used to issue construction control instructions to the intelligent vibratory compaction pile machine according to the construction pile length data corresponding to each of the pile positions to be constructed; the construction control instructions are used to control the intelligent vibratory compaction pile machine to perform pile making operation at each of the pile positions to be constructed according to the corresponding construction pile length data.

8. A computer device comprising a memory and a processor, wherein the memory stores a computer program, characterized in that, When the processor executes the computer program, it implements the steps of the method according to any one of claims 1 to 6.

9. A computer-readable storage medium having a computer program stored thereon, characterized in that, When the computer program is executed by a processor, it implements the steps of the 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 a processor, it implements the steps of the method according to any one of claims 1 to 6.

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