Multi-structure-oriented pile driver guiding method and system for foundation construction

Abstract

The invention relates to the technical field of foundation construction, in particular to a pile driver guiding method and system for foundation construction of various structures, according to the system and method, before a pile driver conducts foundation construction, a virtual model is built for a pile body structure, and a foundation construction target area is constructed based on geological survey data of all stratums in the foundation construction target area; a clamping guiding scheme, meeting the screening rule, of each stratum in the subsequent piling process of the current pile body is analyzed, and smooth transition of the clamping guiding scheme of each stratum in the piling process is ensured through quantitative evaluation of a flow stability index; through full-chain innovation of parametric modeling, pile body structure adaptation, stratum adaptation, process optimization and intelligent decision making, the problem that in traditional piling construction, different pile body structures are difficult to adapt to a clamping guiding scheme of a complex stratum is effectively solved, and the scheme transition risk during stratum switching is remarkably reduced; and the construction precision is improved from the millimeter level of the traditional process to the submillimeter level for control.

Description

Technical Field

[0001] This invention relates to the field of foundation construction technology, and more specifically, to a method and system for guiding pile drivers for foundation construction of various structures. Background Technology

[0002] In the field of foundation construction, the guiding accuracy of pile drivers directly affects the safety and stability of pile foundation projects. In traditional pile driving, there is often no scientific, precise, and universally applicable method for selecting clamping and guiding schemes for different pile structures (such as steel pipe piles and H-beams) and complex geological conditions (such as soft soil in coastal areas and rocky strata in mountainous areas). Construction personnel mostly rely on the practical experience accumulated by engineers to set key parameters such as clamping force and angle.

[0003] Meanwhile, the geological conditions encountered in actual construction are complex and diverse. For example, the soft soil strata commonly found in coastal areas are loose, have high water content, and are highly compressible, which greatly affects the stability of the piles. On the other hand, the rock strata in mountainous areas are hard, with rock fissures and uneven hardness, which brings many difficulties to the driving of the piles. Faced with such complex geological conditions, there is also a lack of accurate modeling and quantitative analysis methods based on detailed geological data when determining a suitable clamping and guiding scheme.

[0004] The situation becomes even more challenging when construction involves traversing multiple strata with varying characteristics. Significant differences in soil quality and mechanical properties between adjacent strata often lead to sudden parameter changes during switching between clamping and guiding schemes, causing abnormal stress conditions on the pile during construction. For example, if the clamping force is not adjusted promptly and appropriately at the moment of transition from soft soil to hard soil, stress concentration can easily occur in the pile, with the local pressure far exceeding its design bearing capacity, leading to damage to the internal structure of the pile. Furthermore, such parameter abrupt changes can easily cause excessive verticality deviations in the pile. Under traditional piling techniques, the deviation rate is typically 0.5% or higher. This large verticality deviation not only affects the pile's bearing capacity, but as construction progresses, the deviation accumulates, potentially preventing the pile from accurately embedding into the strata as designed, resulting in a loss of stable support, and in severe cases, even directly causing catastrophic engineering accidents such as pile fracture.

[0005] Based on the above, this invention proposes a piling machine guidance method and system for foundation construction of various structures. Summary of the Invention

[0006] In view of the shortcomings of the existing technology, the purpose of this invention is to provide a piling machine guidance method and system for foundation construction of various structures.

[0007] To achieve the above objectives, the present invention provides the following technical solution:

[0008] A piling machine guidance method for foundation construction of various structures, the steps of which are as follows:

[0009] Step 1: Data acquisition and generation of guidance clamping setup scheme for geological exploration;

[0010] Step 2: Generation and filtering of the guide clamping setting scheme sequence;

[0011] Step 3: Construction of the guide clamping setting scheme in the sequence of feasible guide clamping schemes.

[0012] Furthermore, a pile driver guidance system for foundation construction with various structures includes a pile clamping and guiding simulation unit, which is used to determine the piles used in foundation construction and further build a pile clamping and guiding simulation model;

[0013] The stratum guidance and clamping scheme analysis unit is used to collect geological survey data of various strata in the target area of ​​foundation construction, and generate a set of guidance and clamping schemes for each stratum based on the pile clamping guidance simulation model.

[0014] The clamping and guiding process scheme determination unit generates multiple sequences of guiding and clamping setting schemes based on the guiding and clamping setting scheme sets for each stratum. (For example, if there are four strata in total, stratum A has 5 guiding and clamping setting schemes, stratum B has 4, stratum C has 4, and stratum D has 3, then 5 × 4 × 4 × 3 = 240 guiding and clamping process schemes will be generated.) (A sequence of clamping setting schemes) is used to select a feasible guide clamping scheme sequence from multiple guide clamping setting scheme sequences. In the actual piling process, the guide clamping setting scheme in the feasible guide clamping scheme sequence is used (for example, when piling begins in the first stratum, the guide clamping setting scheme corresponding to the first stratum in the feasible guide clamping scheme sequence is used to clamp and guide the pile body; when piling in the second stratum, the guide clamping setting scheme corresponding to the second stratum in the feasible guide clamping scheme sequence is switched to clamp and guide the pile body).

[0015] Furthermore, the generation method of a set of directional clamping setting schemes for a stratum is as follows: the geological exploration data of a stratum is structurally transformed, and the structurally transformed geological exploration data is imported into the pile clamping directional simulation model. The pile clamping directional simulation model selects multiple directional clamping setting schemes, and the directional clamping setting schemes are integrated into a set of directional clamping setting schemes.

[0016] Furthermore, a sequence of directional clamping setting schemes is generated as follows: one directional clamping setting scheme is selected from the set of directional clamping setting schemes for each formation, and all the selected directional clamping setting schemes are sorted in order from top to bottom according to the formation to form a sequence of directional clamping setting schemes.

[0017] Furthermore, the process stabilization index of each guide clamp setting scheme sequence is determined, and the guide clamp setting scheme sequence with the largest process stabilization index value is marked as the guide clamp feasible scheme sequence.

[0018] Furthermore, the process stability index of the guide clamp setting scheme sequence: match every two adjacent guide clamp setting schemes in a guide clamp setting scheme sequence into an adjacent scheme combination, obtain the connection stability index of each adjacent scheme combination, further calculate the average connection stability index and the average connection stability deviation index, calculate the difference between the average connection stability index and the average connection stability deviation index, and calculate the process stability index of the guide clamp setting scheme sequence.

[0019] Furthermore, the calculation methods for the average connection stabilization index and the average connection stabilization divergence index are as follows: the connection stabilization indices of all adjacent scheme combinations are summed and averaged to calculate the average connection stabilization index; all adjacent scheme combinations are compared pairwise, and the absolute difference between the connection stabilization indices of the two compared adjacent scheme combinations is calculated to calculate the connection stabilization divergence index; all connection stabilization divergence indices are summed and averaged to calculate the average connection stabilization divergence index.

[0020] Furthermore, the connection stabilization index of adjacent scheme combinations: Select an adjacent scheme combination, obtain the similarity of each parameter corresponding to the adjacent scheme combination, sum the similarity of each parameter and take the average value to calculate the connection stabilization index.

[0021] Compared with the prior art, the present invention has the following beneficial effects:

[0022] Before the pile driver performs foundation construction, the system and method of this invention constructs a virtual model of the pile structure and, based on the geological survey data of each stratum in the target area of ​​foundation construction, analyzes the clamping and guiding schemes that meet the screening rules for each stratum during the subsequent pile driving process. The system and method also use process stability index to quantitatively evaluate and ensure that the transition of the clamping and guiding schemes in each stratum is smooth during the pile driving process. This is achieved through a full-chain innovation of "parametric modeling - pile structure adaptation - stratum adaptation - process optimization - intelligent decision-making".

[0023] It effectively solves the problem of adapting clamping and guiding schemes for different pile structures and complex strata in traditional pile driving construction, significantly reduces the risk of scheme transition when switching strata, and improves the construction accuracy from the millimeter level of traditional processes to the sub-millimeter level. It realizes the technological leap from "experience-driven extensive construction" to "data-driven precision construction", and is especially suitable for engineering scenarios with extremely high requirements for pile verticality deviation and stress control, such as deep-sea wind power foundations and urban ultra-deep foundation pits. Attached Figure Description

[0024] Figure 1 A schematic diagram of a piling machine guidance system for foundation construction of various structures;

[0025] Figure 2 A flowchart for calculating the process stabilization index of the guide clamping setting scheme sequence;

[0026] Figure 3 A flowchart for building a simulation model of pile clamping and guidance. Detailed Implementation

[0027] Example 1: Refer to Figures 1 to 3 A pile driving machine guidance system for foundation construction of various structures, including a pile clamping and guiding simulation unit, a stratum guiding and clamping scheme analysis unit, and a clamping and guiding process scheme determination unit.

[0028] Pile clamping and guiding simulation unit: Determine the piles used in foundation construction and further build a pile clamping and guiding simulation model.

[0029] S1: Parametric Model Construction: The BRep parametric modeling framework of OpenCASCADE is used to dynamically generate the pile cross-section through Python scripts. Taking steel pipe piles as an example, the inner and outer diameter parameters are generated by inputting the diameter D and wall thickness t; it supports the parametric definition of parameters such as flange width B and web thickness tw for H-shaped steel piles, and constructs the pile entity based on the pile cross-section.

[0030] Mesh generation strategy: Use the Salome platform to achieve multi-region mesh control: clamping point area: use tetrahedral mesh, cell size ≤0.5mm (curvature adaptive refinement); pile body: hexahedral mesh, cell size 2-5mm.

[0031] S2: Engineering construction of the material library, such as steel: Q355B (f_y=355MPa,E=2.06×10 5 MPa, ν=0.3), considering kinematic hardening; Concrete: C30 (f_c=14.3MPa, using CDP model, tensile cracking strain 0.0015); Shape memory alloy buffer sheet: NiTi alloy (A_s=5℃, A_f=35℃, E=70GPa), defining hyperelastic constitutive model, and then defining the parameters of the pile body entity;

[0032] S3: Hammering force time history curve: Added a half-sine wave generation function (peak value 1000kN, duration 5ms), and supports energy parameterization adjustment; Soil-pile interaction: Developed a Python interface to read geological survey data (such as SPT blow count N) and automatically map it to soil stiffness parameters (k_s = 10 × N kN / m). 3 Solver automation: An ANSYS APDL command flow was developed to achieve full-process batch processing of mesh generation, load application, and solution. Pile-soil contact: *CONTACT_PAIR (LS-DYNA) or Surface-to-Surface (ABAQUS) was added, setting the friction coefficient μ = 0.2-0.4 (higher values ​​for sandy soil). A soil data-driven mechanism was provided: parameter mapping (e.g., geological survey data can be automatically converted to soil stiffness (ks), cohesion (c), and internal friction angle (φ)).

[0033] S4: NSGA-II Algorithm Integration: Define decision variables (clamping force F, gradient g, soil stiffness k_s), objective function (minσ_eq, minδ, max efficiency), generate Pareto optimal solution set through 100 iterations, and define engineering screening rules for Pareto solution set: such as stress safety factor ≥ 1.2 (safety factor for steel = yield strength / maximum equivalent stress, concrete = compressive strength / compressive stress); verticality deviation ≤ L / 1000 (L is pile length), local depression depth ≤ t / 20 (t is wall thickness), verticality less than 0.26%;

[0034] S5: Develop a PyQt interface to implement: automatic annotation of over-limit areas in stress cloud diagram (color coding ≥ 0.8f_y); deformation animation generation (frame rate 10fps) and displacement curves of key nodes, and finally build a pile clamping and guiding simulation model;

[0035] The strata-guided clamping scheme analysis unit collects geological survey data of various strata in the target area of ​​foundation construction. (For example, if the target area of ​​foundation construction is a coastal area with vertical strata, then the target area of ​​foundation construction includes, in sequence, five strata: plain fill, silty clay, fine sand, silty clay, and completely weathered granite. Different strata have different properties. The geological survey data of the strata are obtained through sample collection methods. For example, the collected plain fill has a moisture content of 25% and a natural density of 1.82 g / cm³.) 3 With a void ratio of 0.78, a cohesion of 9 kPa, and a compression modulus of 4 MPa, a set of guidance and clamping settings for each stratum is generated based on the pile clamping and guiding simulation model.

[0036] The generation method of a set of directional clamping setting schemes for a stratum is as follows: Geological exploration data of a stratum is structurally transformed, and the transformed data is imported into a pile clamping guidance simulation model. The model then selects multiple directional clamping setting schemes (each scheme conforms to the Pareto solution set engineering selection rules, and each scheme is different; for example, in directional clamping setting scheme one: (six-claw clamping allocation) the clamping force at claw position A is 3.67kN, subjected to… The force percentage is 16.7%. The clamping force of claw B is 3.67kN, accounting for 16.7% of the total force. The clamping force of claw C is 3.67kN, accounting for 16.7% of the total force. The clamping force of claw D is 3.67kN, accounting for 16.7% of the total force. The clamping force of claw E is 3.67kN, accounting for 16.7% of the total force. The clamping force of claw F is 3.67kN, accounting for 16.7% of the total force. Clamping angle: circumferential distribution: 60° interval between each claw (0°, 60°, 120°, 180°). 240°, 300°), forming a regular hexagonal constraint; Vertical angle: the clamping surface is perpendicular to the pile axis (0°); Guide inclination angle parameters: Initial inclination angle: 0.15°; Dynamic compensation range: ±0.3°; In guide clamping setting scheme two: (six-claw clamping distribution) the clamping force of claw A is 4kN, accounting for 16.0% of the force, the clamping force of claw B is 4kN, accounting for 16.0% of the force, the clamping force of claw C is 4kN, accounting for 16.0% of the force, and the clamping force of claw D is 3.33kN, accounting for 16.0% of the force. The force ratio is 13.3%, the clamping force of claw position E is 3.33kN, the force ratio is 13.3%, the clamping force of claw position F is 3.33kN, the force ratio is 13.3%, the clamping angle: circumferential distribution: A / B claws are spaced at 55°, D / E claws are spaced at 65°, forming an asymmetrical constraint; vertical angle: A / B claws are tilted forward by 5°; guide tilt angle parameters: initial tilt angle: 0.10°; dynamic compensation range: ±0.1°), the guide clamping setting scheme is integrated into a guide clamping setting scheme set in a set manner.

[0037] Example of structurally transforming geological survey data of a stratum and importing the transformed data into a pile clamping and guiding simulation model: Inputting geological survey data of a stratum into a data template (taking plain fill as an example, CSV format):

[0038] Stratum name, burial depth (m), thickness (m), N value, water content (%), density (g / cm³) 3 Cohesion (kPa), Angle of Internal Friction (°), Compressive Modulus (MPa)

[0039] Plain fill soil, 0, 2.1, 6, 25, 1.82, 9, 18, 4);

[0040] Python data parsing script:

[0041]

[0042] Parameter mapping algorithm: Soil stiffness calculation: k_s = 10 × N = 10 × 6 = 60 kN / m 3 (N=6); Friction coefficient determined: μ=0.2+0.01×phi=0.2+0.01×18=0.38 (higher value for sandy soil, lower limit for plain fill soil close to clay); Damping coefficient: c_damping=5+0.5×moisture content (%)=5+0.5×25=17.5kN·s / m.

[0043] Parameter passing command stream: ANSYS

[0044] ! Receiving soil parameters from a Python script

[0045] *GET,ks,PARAM,,60! k_s=60kN / m 3

[0046] *GET,mu,PARAM,,0.38! Coefficient of friction

[0047] *GET,c_damp,PARAM,,17.5! Damping coefficient

[0048] Define soil spring element.

[0049] TYPE, 1! COMBIN39 unit

[0050] REAL,1! Spring stiffness = ks, parameter transfer command stream is imported into the pile clamping and guiding simulation model;

[0051] The clamping and guiding process scheme determination unit generates multiple guiding and clamping setting scheme sequences based on the guiding and clamping setting scheme sets for each stratum (for example, if there are 4 strata in total, stratum A contains 5 guiding and clamping setting schemes, stratum B contains 4, stratum C contains 4, and stratum D contains 3, then 5 × 4 × 4 × 3 = 240 guiding and clamping setting scheme sequences will be generated). This further determines... The process stability index of each guide clamping setting scheme sequence is determined, and the guide clamping setting scheme sequence with the largest process stability index value is marked as the guide clamping feasible scheme sequence. In the actual piling process, the guide clamping setting scheme in the guide clamping feasible scheme sequence is used (for example, when piling begins in the first stratum, the guide clamping setting scheme corresponding to the first stratum in the guide clamping feasible scheme sequence is used to clamp and guide the pile body; when piling begins in the second stratum, the guide clamping setting scheme corresponding to the second stratum in the guide clamping feasible scheme sequence is switched to clamp and guide the pile body).

[0052] The method for generating a guide clamping setting scheme sequence is as follows: Select one guide clamping setting scheme from the guide clamping setting scheme set of each stratum, and sort all the selected guide clamping setting schemes in order from top to bottom of the stratum to form a guide clamping setting scheme sequence.

[0053] The process stability index of the guide clamp setting scheme sequence is calculated as follows: Each pair of adjacent guide clamp setting schemes in a guide clamp setting scheme sequence is matched into an adjacent scheme combination. The connection stability index of each adjacent scheme combination is obtained. The connection stability indices of all adjacent scheme combinations are summed and averaged to calculate the average connection stability index. All adjacent scheme combinations are compared pairwise, and the absolute difference between the connection stability indices of the compared adjacent scheme combinations is calculated to obtain the connection stability deviation index. All connection stability deviation indices are summed and averaged to calculate the average connection stability deviation index. The difference between the average connection stability index and the average connection stability deviation index is calculated to obtain the process stability index of the guide clamp setting scheme sequence.

[0054] Connection stability index of adjacent scheme combination: Select an adjacent scheme combination, obtain the similarity of the corresponding parameters of the adjacent scheme combination (the parameters include clamping force, angle distribution and guidance parameters), sum the similarity of each parameter and take the average value to calculate the connection stability index.

[0055] The vector form of each guide clamp setting scheme in the adjacent scheme combination: [F_A,F_B,F_C,F_D,F_E,F_F,θ_AB,θ_DE,α_vert,α_init,Δα];

[0056] F_A to F_F correspond to the clamping force of the jaw positions A to F; θ_AB and θ_DE correspond to the circumferential spacing of the key jaw positions; α_vert corresponds to the vertical angle; α_init corresponds to the initial tilt angle; and Δα corresponds to the dynamic compensation range.

[0057] Similarity calculation framework: S(M,N)=w_1·S_F+w_2·S_θ+w_3·S_α;

[0058] Weighting: w_1 = 0.5 (clamping force term), w_2 = 0.3 (angle distribution term), w_3 = 0.2 (guidance parameter term);

[0059] 1. Clamping force term similarity (S_F): Normalized: \bar{F}_{i1}=

[0060] \frac{F_{i1}}{\sum_{j=1}^6F_{j1}},\quad\bar{F}_{i2}=

[0061] \frac{F_{i2}}{\sum_{j=1}^6F_{j2}}; Cosine similarity: S_F=\frac{\sum_{i=1}^6

[0062] \bar{F}_{i1}·\bar{F}_{i2}}{\sqrt{\sum_{i=1}^6

[0063] \bar{F}_{i1}^2}·\sqrt{\sum_{i=1}^6\bar{F}_{i2}^2}};

[0064] Substituting the example data: \bar{F}_1=[0.167,0.167,0.167,0.167,0.167,0.167]

[0065] \bar{F}_2=[0.160,0.160,0.160,0.133,0.133,0.133];

[0066] 2. Angular distribution similarity (S_θ): Feature vector: θ = [θ_AB, θ_DE, α_vert];

[0067] Euclidean distance normalization: S_θ=

[0068] \exp\left(-\frac{\sqrt{(\theta_{AB1}-\theta_{AB2})^2+

[0069] (\theta_{DE1}-\theta_{DE2})^2+(\alpha_{vert1}-\alpha_{vert2})^2}}{k}\right);

[0070] k = 10 (scale parameter), substitute the data:

[0071] \theta_1=[60°,60°,0°],\quad\theta_2=[55°,65°,5°]

[0072] S_θ=\exp\left(-\frac{\sqrt{(60-55)^2+(60-65)^2+(0-5)^2}}{10}\right);

[0073] 3. Similarity of guiding parameter items (S_α): Vector representation: α=[α_init,Δα];

[0074] Standardization: S_α =

[0075] \exp\left(-\frac{\sqrt{\left(\frac{\alpha_{init1}-\alpha_{init2}}{0.2}\right)^2

[0076] +\left(\frac{\Delta\alpha_1-\Delta\alpha_2}{0.4}\right)^2}}{2}\right).

[0077] Before the pile driver begins foundation construction, the system constructs a virtual model of the pile structure. Based on geological survey data of various strata in the target foundation construction area, it analyzes the clamping and guiding schemes for each stratum that meet the screening rules during subsequent pile driving. The system also uses a process stability index for quantitative evaluation to ensure a smooth transition of the clamping and guiding schemes for each stratum during pile driving. This is achieved through "parametric modeling."

[0078] Innovation across the entire chain: "Pile structure adaptation, geological stratum adaptation, process optimization, and intelligent decision-making".

[0079] Example 2: A piling machine guidance method for foundation construction of various structures, the steps of which are as follows:

[0080] Step 1: Data acquisition and generation of guidance clamping setup scheme for geological exploration;

[0081] Step 2: Generation and filtering of the guide clamping setting scheme sequence;

[0082] Step 3: Construction of the guide clamping setting scheme in the sequence of feasible guide clamping schemes.

[0083] The above method effectively solves the problem of adapting clamping and guiding schemes for different pile structures and complex strata in traditional pile driving construction, significantly reduces the risk of scheme transition when switching strata, and improves the construction accuracy from the millimeter level of traditional processes to the sub-millimeter level. It realizes the technological leap from "experience-driven extensive construction" to "data-driven precision construction", and is especially suitable for engineering scenarios with extremely high requirements for pile verticality deviation and stress control, such as deep-sea wind power foundations and urban ultra-deep foundation pits.

[0084] The above formulas are all dimensionless calculations, and the preset parameters in the formulas should be set by those skilled in the art according to the actual situation.

[0085] The above embodiments can be implemented, in whole or in part, by software, hardware, firmware, or any other combination thereof. When implemented using software, the above embodiments can be implemented, in whole or in part, as a computer program product. The computer program product includes one or more computer instructions or computer programs. When the computer instructions or computer programs are loaded or executed on a computer, all or part of the processes or functions described in the embodiments of this application are generated. The computer can be a general-purpose computer, a special-purpose computer, a computer network, or other programmable device. The computer instructions can be stored in a computer-readable storage medium or transmitted from one computer-readable storage medium to another. For example, the computer instructions can be transmitted from one website, computer, server, or data center to another website, computer, server, or data center via wired or wireless (e.g., infrared, wireless, microwave, etc.) means. The computer-readable storage medium can be any available medium that a computer can access or a data storage device such as a server or data center that includes one or more sets of available media. The available medium can be a magnetic medium (e.g., floppy disk, hard disk, magnetic tape), an optical medium (e.g., DVD), or a semiconductor medium. A semiconductor medium can be a solid-state drive.

[0086] It should be understood that in the various embodiments of this application, the order of the above-mentioned processes does not imply the order of execution. The execution order of each process should be determined by its function and internal logic, and should not constitute any limitation on the implementation process of the embodiments of this application.

[0087] Those skilled in the art will recognize that the units and algorithm steps of the various examples described in conjunction with the embodiments disclosed herein can be implemented in electronic hardware, or a combination of computer software and electronic hardware. Whether these functions are implemented in hardware or software depends on the specific application and design constraints of the technical solution. Those skilled in the art can use different methods to implement the described functions for each specific application, but such implementation should not be considered beyond the scope of this application.

[0088] Those skilled in the art will understand that, for the sake of convenience and brevity, the specific working processes of the systems, devices, and units described above can be referred to the corresponding processes in the foregoing method embodiments, and will not be repeated here.

[0089] In the several embodiments provided in this application, it should be understood that the disclosed systems, apparatuses, and methods can be implemented in other ways. For example, the apparatus embodiments described above are merely illustrative; for instance, the division of units is only a logical functional division, and in actual implementation, there may be other division methods. For example, multiple units or components may be combined or integrated into another system, or some features may be ignored or not executed. Furthermore, the coupling or direct coupling or communication connection shown or discussed may be through some interfaces; the indirect coupling or communication connection between apparatuses or units may be electrical, mechanical, or other forms.

[0090] If the aforementioned functions are implemented as software functional units and sold or used as independent products, they can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of this application, in essence, or the part that contributes to the prior art, or a portion 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 this application. The aforementioned storage medium includes various media capable of storing program code, such as USB flash drives, portable hard drives, read-only memory (ROM), random access memory (RAM), magnetic disks, or optical disks.

[0091] The above description is merely a specific embodiment of this application, but the scope of protection of this application is not limited thereto. Any variations or substitutions that can be easily conceived by those skilled in the art within the scope of the technology disclosed in this application should be included within the scope of protection of this application. Therefore, the scope of protection of this application should be determined by the scope of the claims.

Claims

1. A piling machine guidance method for foundation construction of various structures, characterized in that, The steps are as follows: Step 1: Data acquisition and generation of guidance clamping setup scheme for geological exploration; Step 2: Generation and filtering of the guide clamping setting scheme sequence; Step 3: Construction of the guide clamping setting scheme in the sequence of feasible guide clamping schemes.

2. A piling machine guidance system for foundation construction of various structures, applied to the piling machine guidance method for foundation construction of various structures as described in claim 1, characterized in that, It includes a pile clamping and guiding simulation unit, which is used to determine the piles used in foundation construction and to further build a pile clamping and guiding simulation model; The stratum guidance and clamping scheme analysis unit is used to collect geological survey data of various strata in the target area of ​​foundation construction, and generate a set of guidance and clamping schemes for each stratum based on the pile clamping guidance simulation model. The clamping and guiding process scheme determination unit generates multiple guide clamping setting scheme sequences based on the guide clamping setting scheme set of each stratum, and then selects a guide clamping feasible scheme sequence from the multiple guide clamping setting scheme sequences, and uses the guide clamping setting scheme in the guide clamping feasible scheme sequence during the actual piling process.

3. The pile driver guidance system for foundation construction of various structures according to claim 2, characterized in that, The method for generating a set of guidance clamping setting schemes for a stratum is as follows: the geological exploration data of a stratum is structured and transformed, and the structured geological exploration data is imported into the pile clamping guidance simulation model. The pile clamping guidance simulation model selects multiple guidance clamping setting schemes, and the guidance clamping setting schemes are integrated into a set of guidance clamping setting schemes.

4. The pile driver guidance system for foundation construction of various structures according to claim 2, characterized in that, The method for generating a guide clamping setting scheme sequence is as follows: Select one guide clamping setting scheme from the guide clamping setting scheme set of each stratum, and sort all the selected guide clamping setting schemes in order from top to bottom of the stratum to form a guide clamping setting scheme sequence.

5. The pile driver guidance system for foundation construction of various structures according to claim 2, characterized in that, Determine the process stability index of each guide clamp setting scheme sequence, and mark the guide clamp setting scheme sequence with the largest process stability index value as the guide clamp feasible scheme sequence.

6. The pile driver guidance system for foundation construction of various structures according to claim 5, characterized in that, Process stability index of guide clamp setting scheme sequence: Match every two adjacent guide clamp setting schemes in a guide clamp setting scheme sequence into an adjacent scheme combination, obtain the connection stability index of each adjacent scheme combination, further calculate the average connection stability index and the average connection stability deviation index, calculate the difference between the average connection stability index and the average connection stability deviation index, and calculate the process stability index of the guide clamp setting scheme sequence.

7. The pile driver guidance system for foundation construction of various structures according to claim 6, characterized in that, The calculation methods for the average connection stabilization index and the average connection stabilization divergence index are as follows: The connection stabilization indices of all adjacent scheme combinations are summed and averaged to calculate the average connection stabilization index. All adjacent scheme combinations are compared pairwise, and the absolute difference between the connection stabilization indices of the two compared adjacent scheme combinations is calculated to obtain the connection stabilization divergence index. All connection stabilization divergence indices are summed and averaged to calculate the average connection stabilization divergence index.

8. The pile driver guidance system for foundation construction of various structures according to claim 2, characterized in that, The stabilization index of adjacent scheme combinations: Select an adjacent scheme combination, obtain the similarity of each parameter corresponding to the adjacent scheme combination, sum the similarity of each parameter and take the average value to calculate the stabilization index.

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