A pile-forming construction control method and system based on big data pre-analysis

Abstract

The present disclosure relates to a pile-forming construction control method and system based on big data pre-analysis, which comprises: determining a real-time pile-forming construction characteristic curve of a pile-forming construction equipment corresponding to a target pile body; using a pre-trained pile-forming construction large language model to process the real-time pile-forming construction characteristic curve, and determining an operation state adjustment instruction corresponding to the pile-forming construction equipment; and adjusting the real-time operation state of the pile-forming construction equipment according to the operation state adjustment instruction. The pile-forming construction control method of the present disclosure can realize "measuring, evaluating and adjusting while piling", and use the pre-trained pile-forming construction large language model to predict and analyze the construction situation, adjust the real-time operation state of the pile-forming construction equipment, improve the construction efficiency, and reduce the demand for geological exploration data and pre-pile testing.

Description

TECHNICAL FIELD

[0001] The present disclosure relates to the technical field of pile foundation intelligent construction, and particularly relates to a pile forming construction control method and system based on big data pre-analysis. BACKGROUND

[0002] In the pile foundation construction process of the prior art, a clear and complete geological exploration report is usually required to accurately assess key information such as the bearing capacity of the foundation, the distribution of the soil layer, and the underground water level, so as to reasonably formulate a pile foundation design scheme and a construction process. In addition, the design parameters need to be verified through pre-pile testing to ensure the feasibility of the construction scheme. However, this construction method relying on detailed exploration data and pile testing has a long construction period and cannot meet the rapid construction demand. SUMMARY

[0003] Therefore, the present disclosure provides a pile forming construction control method and system based on big data pre-analysis.

[0004] According to an aspect of the present disclosure, a pile forming construction control method based on big data pre-analysis is provided, which includes: determining a real-time pile forming construction characteristic curve of a pile forming construction equipment corresponding to a target pile body; performing data processing on the real-time pile forming construction characteristic curve by using a pre-trained pile forming construction large language model to determine an operation state adjustment instruction corresponding to the pile forming construction equipment; and adjusting a real-time operation state of the pile forming construction equipment according to the operation state adjustment instruction.

[0005] In a possible implementation manner, in a case where the pile forming construction equipment performs pile forming construction based on a static pressure method, the real-time pile forming construction characteristic curve is a pile body penetration depth-penetration resistance curve; and in a case where the pile forming construction equipment performs pile forming construction based on a hammering method, the real-time pile forming construction characteristic curve is a hammering number-pile body penetration depth curve.

[0006] In a possible implementation manner, the pile forming construction large language model includes a soil body characteristic parameter deduction sub-model; and the data processing on the real-time pile forming construction characteristic curve by using the pre-trained pile forming construction large language model to determine the operation state adjustment instruction corresponding to the pile forming construction equipment includes: inputting the real-time pile forming construction characteristic curve and pile body data corresponding to the target pile body into the soil body characteristic parameter deduction sub-model to determine real-time soil body characteristic parameters corresponding to a soil layer currently contacted by the target pile body; and determining the operation state adjustment instruction according to the real-time pile forming construction characteristic curve and the real-time soil body characteristic parameters.

[0007] In a possible implementation, the operation state adjustment instruction comprises an operation parameter adjustment instruction and a construction completion instruction, wherein the operation parameter adjustment instruction is used to adjust a real-time operation parameter corresponding to the pile-forming construction equipment, and the construction completion instruction is used to instruct to stop the operation of the pile-forming construction equipment; and the operation state adjustment instruction is determined according to the real-time pile-forming construction characteristic curve and the real-time soil body characteristic parameter, comprising: determining a real-time pile body bearing capacity corresponding to the target pile body according to the real-time pile-forming construction characteristic curve and the real-time soil body characteristic parameter; in a case where the real-time pile body bearing capacity does not satisfy a pile body target bearing capacity corresponding to the target pile body, determining the operation state adjustment instruction according to the real-time soil body characteristic parameter; and in a case where the real-time pile body bearing capacity satisfies the pile body target bearing capacity corresponding to the target pile body, determining the construction completion instruction.

[0008] In a possible implementation, the pile-forming construction large language model comprises a pile-forming construction curve prediction sub-model; and the operation state adjustment instruction is determined according to the real-time soil body characteristic parameter in a case where the real-time pile body bearing capacity does not satisfy the pile body target bearing capacity corresponding to the target pile body, comprising: in the case where the real-time pile body bearing capacity does not satisfy the pile body target bearing capacity corresponding to the target pile body, inputting the real-time soil body characteristic parameter and the pile body data into the pile-forming construction curve prediction sub-model to determine a predicted pile-forming construction characteristic curve corresponding to the pile-forming construction equipment; determining a predicted soil body characteristic parameter corresponding to a soil layer predicted to be contacted by the target pile body according to the soil body characteristic parameter deduction sub-model, the predicted pile-forming construction characteristic curve, and the pile body data; determining a reference operation parameter corresponding to the pile-forming construction equipment according to the real-time soil body characteristic parameter and the predicted soil body characteristic parameter; and determining the operation state adjustment instruction according to the reference operation parameter.

[0009] In a possible implementation, the method further comprises: constructing a pile-forming construction database according to a plurality of groups of sample pile-forming construction data; and training a preset large language model according to the pile-forming construction database to determine the pile-forming construction large language model.

[0010] In a possible implementation, the pile-forming construction database is constructed according to the plurality of groups of sample pile-forming construction data, comprising: constructing a target finite element numerical model according to the plurality of groups of sample pile-forming construction data; performing variable-parameter numerical simulation analysis based on the target finite element numerical model to determine simulation sample pile-forming construction data; and constructing the pile-forming construction database according to the sample pile-forming construction data and the simulation sample pile-forming construction data.

[0011] According to another aspect of the present disclosure, a pile-forming construction control system based on big data pre-analysis is provided, comprising: a measurement sensing module, a data processing module, and a construction equipment control module; the measurement sensing module is configured to determine a real-time pile-forming construction characteristic curve of a pile-forming construction equipment corresponding to a target pile during a pile-forming construction process of the target pile; the data processing module is configured to process the real-time pile-forming construction characteristic curve by using the method described above, and determine an operation state adjustment instruction corresponding to the pile-forming construction equipment; and the construction equipment control module is configured to adjust a real-time operation state of the pile-forming construction equipment according to the operation state adjustment instruction.

[0012] In a possible implementation, the measurement sensing module comprises a pile body strain sensor, a pile side and pile bottom soil pressure sensor, an energy measuring device, and a pile body displacement sensor.

[0013] In a possible implementation, the system further comprises a data display module configured to display the real-time pile-forming construction characteristic curve, the predicted pile-forming construction characteristic curve, the real-time soil body characteristic parameter, and the predicted soil body characteristic parameter in real time.

[0014] The pile-forming construction control method of the present disclosure can determine the real-time pile-forming construction characteristic curve of the pile-forming construction equipment corresponding to the target pile, realize “measuring while drilling” during the pile-forming construction process, and reduce the demand for geological exploration data and pre-pile testing; the data processing module can process the real-time pile-forming construction characteristic curve by using the pre-trained pile-forming construction large language model, realize the prediction and analysis of the pile-forming construction process, determine the operation state adjustment instruction corresponding to the pile-forming construction equipment, and ensure that the operation state adjustment instruction has high accuracy and reliability; and the construction equipment control module can adjust the real-time operation state of the pile-forming construction equipment according to the operation state adjustment instruction, realize the automatic control of the pile-forming construction process, and improve the construction efficiency and construction safety.

[0015] Other features and aspects of the present disclosure will become apparent from the following detailed description of exemplary embodiments with reference to the drawings. BRIEF DESCRIPTION OF DRAWINGS

[0016] The accompanying drawings, which are incorporated in and constitute a part of the specification, illustrate exemplary embodiments, features, and aspects of the present disclosure and serve to explain the principles of the present disclosure.

[0017] Figure 1 A flowchart of a pile-forming construction control method based on big data pre-analysis according to an embodiment of the present disclosure is shown;

[0018] Figure 2 A flowchart of a pile-forming construction method according to an embodiment of the present disclosure is shown.

[0019] Figure 3 A flow chart of constructing a pile construction large language model is shown according to an embodiment of the present disclosure;

[0020] Figure 4 A block diagram of a pile construction control system based on big data pre-analysis is shown according to an embodiment of the present disclosure;

[0021] Figure 5 A structural schematic diagram of a pile construction control system based on big data pre-analysis is shown according to an embodiment of the present disclosure. DETAILED DESCRIPTION

[0022] Various exemplary embodiments, features and aspects of the present disclosure will be explained in detail below with reference to the accompanying drawings. The same reference numerals in the drawings denote the same elements or similar elements. Although various aspects of the embodiments are illustrated in the drawings, the drawings are not necessarily drawn to scale unless specifically indicated.

[0023] The word "exemplary" is used herein to mean "serving as an example, instance, or illustration." Any implementation described herein as "exemplary" is not necessarily to be construed as preferred or advantageous over other implementations.

[0024] The term "and / or", merely describes association relationship of associated objects, which means that there can be three relationships, for example, A and / or B, which means that there are three cases of A alone, A and B together, and B alone. In addition, the term "at least one" herein means any one of the plurality or any combination of at least two of the plurality, for example, including at least one of A, B and C, which means including any one or more elements selected from the set consisting of A, B and C.

[0025] In addition, in order to better illustrate the present disclosure, numerous specific details are given in the specific embodiments below. Those skilled in the art should understand that the present disclosure can also be implemented without some specific details. In some examples, methods, means, elements and circuits well known to those skilled in the art are not described in detail, in order to highlight the main idea of the present disclosure.

[0026] In modern engineering construction, pile foundation is an important bearing structure, which is widely used in various engineering projects. Pile foundation generally means that the tops of several piles are connected into a whole through a pile cap to jointly bear dynamic and static loads. The basic component of pile foundation is a vertical or inclined pile set in the soil, which is used to pass through soft and highly compressible soil or water, and to transfer the load borne by the pile to a harder, denser or less compressible foundation bearing layer.

[0027] In the prior art, in the pile foundation construction process, it is usually necessary to provide clear and complete geological exploration reports in advance, so as to accurately evaluate key information such as the bearing capacity of the foundation, the soil layer distribution and the underground water level, so as to reasonably formulate the pile foundation design scheme and the construction technology. On the other hand, it is also necessary to verify the design parameters through pre-pile testing to ensure the feasibility of the construction scheme. However, this construction method which relies on detailed exploration data and pile testing has a long construction period and cannot meet the rapid construction demand; and it is difficult to apply to special application scenarios such as lack of or incomplete geological exploration data, inability to perform sufficient pre-pile testing, and the need for rush construction.

[0028] Therefore, the present disclosure provides a pile-forming construction control method based on big data pre-analysis, which can utilize real-time pile-forming construction characteristic curves, combine a pre-trained pile-forming construction large language model, and perform real-time analysis on the construction situation, reduce the demand for geological exploration data and pre-pile testing in pile-forming construction, and adaptively adjust the real-time operation state of the pile-forming construction equipment, so as to realize "measuring while drilling, evaluating while drilling, and adjusting while drilling" in the pile-forming construction process, thereby improving the construction efficiency on the basis of ensuring the safety and reliability of the pile-forming construction. The pile-forming construction control method based on big data pre-analysis of the present disclosure will be described in detail below.

[0029] Figure 1 A flowchart of a pile-forming construction control method based on big data pre-analysis according to an embodiment of the present disclosure is shown. The pile-forming construction control method can be executed by an electronic device such as a terminal device or a server. The terminal device can be a user equipment (UE), a mobile device, a user terminal, a terminal, a cellular phone, a cordless phone, a personal digital assistant (PDA), a handheld device, a computing device, a vehicle-mounted device, a wearable device, etc. The pile-forming construction control method can be realized by a processor calling computer-readable instructions stored in a memory. Alternatively, the pile-forming construction control method can be executed by a server. As shown in Figure 1 The pile-forming construction control method includes the following steps.

[0030] In step S11, the real-time pile-forming construction characteristic curve of the pile-forming construction equipment corresponding to the target pile body is determined.

[0031] The target pile body here can represent a prefabricated foundation pile used to build a pile foundation. Its specific form can refer to the implementation of related technologies, for example, it can include a wooden pile, a concrete square pile, a prestressed concrete pipe pile, a steel pile, etc., and the present disclosure does not make specific limitations thereto.

[0032] The pile-forming construction equipment corresponding to the target pile body can represent a construction equipment used for driving the target pile body into the soil. The specific form of the pile-forming construction equipment can be flexibly set according to actual use requirements. For example, the pile-forming construction equipment can include a static pressure pile driver based on a static pressure method for pile-forming construction, or a cylinder hammer pile driver based on a hammering method for pile-forming construction, and the like. The present disclosure does not make specific limitations on this.

[0033] The real-time pile-forming construction characteristic curve of the pile-forming construction equipment can be used to reflect the correlation between the pile body penetration depth of the target pile body and the target measurement data corresponding to the pile-forming construction equipment. The target measurement data corresponding to the pile-forming construction equipment can indirectly reflect the operating state of the pile-forming construction equipment, so as to analyze the real-time progress of the pile-forming construction based on the real-time pile-forming construction characteristic curve. The specific content of the real-time pile-forming construction characteristic curve can be flexibly set according to actual use requirements, which depends on the specific form of the pile-forming construction equipment. The present disclosure does not make specific limitations on this. The specific manner of determining the real-time pile-forming construction characteristic curve can be flexibly set according to actual use requirements. For example, the real-time pile-forming construction characteristic curve can be directly received from the output of a related measurement equipment, or the real-time pile-forming construction characteristic curve can be real-time drawn according to the target measurement data, and the like. The present disclosure does not make specific limitations on this.

[0034] In one possible implementation, when the pile-forming construction equipment is based on a static pressure method for pile-forming construction, the real-time pile-forming construction characteristic curve is a pile body penetration depth-resistance to penetration curve. When the pile-forming construction equipment is based on a hammering method for pile-forming construction, the real-time pile-forming construction characteristic curve is a number of hammerings-pile body penetration depth curve.

[0035] In step S12, the real-time pile-forming construction characteristic curve is processed by using the pre-trained pile-forming construction large language model to determine the operating state adjustment instruction corresponding to the pile-forming construction equipment.

[0036] The real-time pile-forming construction characteristic curve can be processed by using the pre-trained pile-forming construction large language model to analyze the real-time progress of the pile-forming construction, predict the soil condition contacted by the target pile body, and the like, and then determine the operating state adjustment instruction corresponding to the pile-forming construction equipment to adjust the real-time operating state of the pile-forming construction equipment. The specific form of the pile-forming construction large language model can refer to the implementation in related technologies. For example, the pile-forming construction large language model can be a deep learning model constructed by using a neural network, a multi-layer neural network, a support vector machine algorithm, and the like. The present disclosure does not make specific limitations on this. The specific content of the operating state adjustment instruction can be flexibly set according to actual use requirements, which depends on the specific form of the pile-forming construction equipment. The present disclosure does not make specific limitations on this.

[0037] In an example, the pile-forming construction equipment is a static pile press, and the corresponding operation state adjustment instruction can include an instruction to adjust the mass of a static pressure block in the static pile press, and / or an instruction to adjust the number of static pressure blocks in the static pile press, etc.

[0038] In an example, the pile-forming construction equipment is a cylinder hammer pile driver, and the corresponding operation state adjustment instruction can include an instruction to adjust the hammering height, an instruction to adjust the hammering frequency, etc.

[0039] Hereinafter, the process of determining the operation state adjustment instruction of the pile-forming construction equipment by using the pre-trained pile-forming construction large language model to process the real-time pile-forming construction characteristic curve will be described in detail in conjunction with possible implementations of the present disclosure, which will not be repeated here.

[0040] In step S13, the real-time operation state of the pile-forming construction equipment is adjusted according to the operation state adjustment instruction.

[0041] By using the operation state adjustment instruction, the real-time operation state of the pile-forming construction equipment can be adaptively adjusted according to the actual progress of the pile-forming construction process and the real-time analysis of the construction state, so as to realize the "adjustment as evaluation" in the pile-forming construction process, improve the real-time performance and reliability of the pile-forming construction equipment control, and reduce the dependence on the pre-pile test.

[0042] The specific manner of adjusting the real-time operation state of the pile-forming construction equipment can be flexibly set according to actual use requirements, and depends on the type of the pile-forming construction equipment and the content of the operation state adjustment instruction, which is not specifically limited in the present disclosure.

[0043] In the embodiments of the present disclosure, the real-time pile-forming construction characteristic curve of the pile-forming construction equipment corresponding to the target pile body can realize the "measurement as driving" in the pile-forming construction process, and reduce the demand for geological exploration data and pre-pile test in the pile-forming construction; the pre-trained pile-forming construction large language model can process the real-time pile-forming construction characteristic curve, so as to realize the "adjustment as evaluation" in the pile-forming construction process, determine the operation state adjustment instruction of the pile-forming construction equipment, and ensure that the operation state adjustment instruction has high accuracy and reliability. The operation state adjustment instruction can be used to adjust the real-time operation state of the pile-forming construction equipment, realize the automatic control of the pile-forming construction process, and thus improve the construction efficiency and construction safety.

[0044] In a possible implementation, the pile-forming construction large language model comprises: a soil characteristic parameter deduction sub-model; and data processing of a real-time pile-forming construction characteristic curve by using the pre-trained pile-forming construction large language model to determine an operation state adjustment instruction corresponding to a pile-forming construction device, comprising: inputting the real-time pile-forming construction characteristic curve and pile body data corresponding to a target pile body into the soil characteristic parameter deduction sub-model to determine real-time soil characteristic parameters corresponding to a soil layer currently contacted by the target pile body; and determining the operation state adjustment instruction according to the real-time pile-forming construction characteristic curve and the real-time soil characteristic parameters.

[0045] The soil characteristic parameter deduction sub-model can be used to deduce real-time soil characteristic parameters corresponding to a soil layer currently contacted by a pile body according to a pile-forming construction characteristic curve and pile body data. The pile body data corresponding to the target pile body can include a pile body type, a pile body material and material attributes, a pile body size parameter, and the like, and the specific content thereof can be flexibly set according to actual use requirements, which is not limited in the present disclosure. The soil characteristic parameters can include soil layer depth and thickness, soil body type, and soil body weight, soil body internal friction angle, soil body cohesion, soil body compression modulus, and the like, and the specific content thereof can be flexibly set according to actual use requirements, which is not limited in the present disclosure.

[0046] By using the soil characteristic parameter deduction sub-model, real-time soil characteristics can be deduced in the pile-forming construction process according to the real-time pile-forming construction characteristic curve and the pile body data corresponding to the target pile body to determine real-time soil characteristic parameters corresponding to a soil layer currently contacted by the target pile body, thereby reducing the demand for geological exploration data, enabling pile-forming construction to be performed in the absence of geological exploration data, and realizing “on-the-fly measurement” in the pile-forming construction process.

[0047] According to the real-time pile-forming construction characteristic curve and the real-time soil characteristic parameters, the operation state adjustment instruction can be determined to adjust the real-time operation state of the pile-forming construction device, thereby correcting the construction error of the target pile body and controlling the pile-forming construction progress. The specific method of determining the operation state adjustment instruction according to the real-time pile-forming construction characteristic curve and the real-time soil characteristic parameters can be flexibly set according to actual use requirements, which is not limited in the present disclosure.

[0048] In a possible implementation, the running state adjustment instruction comprises a running parameter adjustment instruction and a construction completion instruction, wherein the running parameter adjustment instruction is used to adjust the real-time running parameter corresponding to the pile-forming construction equipment, and the construction completion instruction is used to instruct to stop the running of the pile-forming construction equipment; the running state adjustment instruction is determined according to the real-time pile-forming construction characteristic curve and the real-time soil body characteristic parameter, comprising: determining the real-time pile body bearing capacity corresponding to the target pile body according to the real-time pile-forming construction characteristic curve and the real-time soil body characteristic parameter; in the case that the real-time pile body bearing capacity does not satisfy the pile body target bearing capacity corresponding to the target pile body, determining the running state adjustment instruction according to the real-time soil body characteristic parameter; in the case that the real-time pile body bearing capacity satisfies the pile body target bearing capacity corresponding to the target pile body, determining the construction completion instruction.

[0049] According to the real-time pile-forming construction characteristic curve and the real-time soil body characteristic parameter, and in combination with the pile bearing capacity calculation formula, the real-time pile body bearing capacity corresponding to the target pile body can be calculated in real time in the pile-forming construction process, and whether the pile-forming construction is completed can be judged according to the real-time pile body bearing capacity and the pre-designed pile body target bearing capacity. The specific content of the pile bearing capacity calculation formula can be referred to the implementation in the related art, and the present disclosure does not make a specific limitation thereon; the pile body target bearing capacity can represent the corresponding pile body bearing capacity of the target pile body at the corresponding target construction depth; the specific value of the pile body target bearing capacity can be flexibly set according to the actual use requirement, and depends on the target construction depth of the target pile body, and the present disclosure does not make a specific limitation thereon.

[0050] In the case that the real-time pile body bearing capacity does not satisfy the pile body target bearing capacity corresponding to the target pile body, the running state adjustment instruction can be determined according to the real-time soil body characteristic parameter, to instruct to adjust the real-time running parameter corresponding to the pile-forming construction equipment, so as to correct the construction error of the target pile body and control the pile-forming construction progress. In the case that the real-time pile body bearing capacity satisfies the pile body target bearing capacity corresponding to the target pile body, the construction completion instruction can be determined, to instruct to stop the running of the pile-forming construction equipment. The specific method of determining the running state adjustment instruction according to the real-time soil body characteristic parameter can be flexibly set according to the actual use requirement, and the present disclosure does not make a specific limitation thereon.

[0051] In a possible implementation, the pile-forming construction large language model comprises: a pile-forming construction curve prediction sub-model; and in a case where the real-time pile body bearing capacity does not meet the pile body target bearing capacity corresponding to the target pile body, determining an operation state adjustment instruction according to the real-time soil body characteristic parameter, comprising: in a case where the real-time pile body bearing capacity does not meet the pile body target bearing capacity corresponding to the target pile body, inputting the real-time soil body characteristic parameter and the pile body data into the pile-forming construction curve prediction sub-model to determine a predicted pile-forming construction characteristic curve corresponding to the pile-forming construction equipment; determining a predicted soil body characteristic parameter corresponding to a soil layer predicted to be contacted by the target pile body according to the soil body characteristic parameter deduction sub-model, the predicted pile-forming construction characteristic curve, and the pile body data; determining a reference operation parameter corresponding to the pile-forming construction equipment according to the real-time soil body characteristic parameter and the predicted soil body characteristic parameter; and determining the operation state adjustment instruction according to the reference operation parameter.

[0052] The pile-forming construction curve prediction sub-model can be used to predict the pile-forming construction characteristic curve of the pile-forming construction equipment according to the soil body characteristic parameter and the pile body data.

[0053] In a case where the real-time pile body bearing capacity does not meet the pile body target bearing capacity corresponding to the target pile body, the pile-forming construction curve prediction sub-model can perform iterative analysis according to the real-time soil body characteristic parameter and the pile body data to determine the predicted pile-forming construction characteristic curve corresponding to the pile-forming construction equipment. On this basis, the predicted pile-forming construction characteristic curve and the pile body data are input into the soil body characteristic parameter deduction sub-model, and the predicted soil body characteristic parameter corresponding to the soil layer predicted to be contacted by the target pile body can be deduced, so as to analyze whether the soil layer type changes when the target pile body continues to penetrate, and to provide a reasonable and reliable reference basis for adjusting the operation state of the pile-forming construction equipment.

[0054] The specific manner of analyzing whether the soil layer type changes when the target pile body continues to penetrate can refer to the implementation in the related art, and the present disclosure does not make a specific limitation thereon.

[0055] In an example, a function approximation algorithm can be used to calculate whether there is a turning point meeting a preset requirement between the soil layer currently contacted by the target pile body and the soil layer predicted to be contacted by the target pile body according to the real-time soil body characteristic parameter and the predicted soil body characteristic parameter. If there is a turning point meeting the preset requirement, it can be determined that the soil layer type will change when the target pile body continues to penetrate; if there is no turning point meeting the preset requirement, it can be determined that the soil layer type will not change when the target pile body continues to penetrate, and at this time, a piecewise numerical approximation algorithm can be used to determine the soil layer type and the pile body bearing capacity of the target pile body in the soil layer predicted to be contacted. The specific content of the preset requirement can be flexibly set according to actual use requirements, and the present disclosure does not make a specific limitation thereon.

[0056] Based on real-time and predicted soil characteristic parameters, combined with predicted pile construction characteristic curves and pile bearing capacity calculation formulas, the change in pile bearing capacity during the process of the target pile penetrating from the currently contacting soil layer into the predicted contact soil layer is analyzed. This analysis determines the corresponding reference operating parameters for the pile construction equipment, serving as the data basis for adjusting the equipment's operating status. This improves the rationality and reliability of the equipment's operating status control, and ultimately determines the operating status adjustment instructions. The specific content of the reference operating parameters depends on the specific form of the pile construction equipment and can be flexibly set according to actual usage requirements; this disclosure does not impose specific limitations on this.

[0057] In one example, the pile driving equipment is a static pile driver, and the reference operating parameters can be set as reference values ​​for static pressure mass, which may include the reference mass of the static pressure block and / or the reference quantity, etc.

[0058] In one example, the pile driving equipment is a cylindrical hammer pile driver, and the reference operating parameters can be set as a reference value for the hammering energy, which may include a reference hammering height, etc.

[0059] Figure 2 A flowchart illustrating a pile-forming construction method according to an embodiment of the present disclosure is shown. Figure 2 As shown, after determining the target bearing capacity of the pile based on the pile data and target construction depth, the pile-forming equipment can be controlled to carry out pile-forming construction. During the pile-forming construction process, the large-scale pile-forming construction language model can be used to process the measured real-time pile-forming construction characteristic curves, determine the real-time soil characteristic parameters, and analyze the real-time bearing capacity of the pile based on the real-time soil characteristic parameters. When the real-time bearing capacity of the pile does not meet the requirement of being greater than or equal to the target bearing capacity of the pile, the large-scale pile-forming construction language model can be used for predictive analysis to determine the predicted soil characteristic parameters. Then, using the real-time soil characteristic parameters and the predicted soil parameters, reference operating parameters are determined to adjust the real-time operating status of the pile-forming equipment until the real-time bearing capacity of the pile is determined to be greater than or equal to the target bearing capacity of the pile, at which point the construction is completed.

[0060] In one possible implementation, the method further includes: constructing a pile construction database based on multiple sets of sample pile construction data; and training a pre-set large language model based on the pile construction database to determine the large language model for pile construction.

[0061] Specifically, a standardized, accurate and reliable pile construction database can be constructed by pre-collected sample pile construction data meeting pile construction standards. The specific method of obtaining sample data pile construction data can be flexibly set according to actual use requirements, for example, it can be obtained by existing literature related to pile construction or by collecting measurement data of completed pile construction process, and the present disclosure does not make specific limitations. The specific content of each set of sample pile construction data can be flexibly set according to actual use requirements, and the present disclosure does not make specific limitations.

[0062] In an example, any one set of sample pile construction data can include: a pile construction method corresponding to any one pile construction process, pile data, soil characteristic parameters, and a pile construction characteristic curve. The pile construction method can include static pressure method and hammering method; the pile data can include pile type, pile material and material attribute, pile size parameter, etc.; the soil characteristic parameters can include soil layer depth and thickness, soil type, and soil gravity, soil internal friction angle, soil cohesion, soil compression modulus and other mechanical parameters.

[0063] The specific method of constructing the pile construction database can be flexibly set according to actual use requirements, and the present disclosure does not make specific limitations.

[0064] In a possible implementation, according to the plurality of sets of sample pile construction data, the pile construction database is constructed, comprising: constructing a target finite element numerical model according to the plurality of sets of sample pile construction data; based on the target finite element numerical model, performing variable parameter numerical simulation analysis to determine simulation sample pile construction data; and constructing the pile construction database according to the sample pile construction data and the simulation sample pile construction data.

[0065] Specifically, according to the plurality of sets of sample pile construction data, an initial finite element numerical model can be constructed, and the simulation error corresponding to the initial finite element numerical model can be calculated. The specific method of constructing the initial finite element numerical model can refer to the implementation in the related art, and the present disclosure does not make specific limitations; the simulation error corresponding to the initial finite element numerical model can represent the error of the pile construction data simulated by the initial finite element numerical model with respect to the sample pile construction data, and the specific form can be flexibly set according to actual use requirements, which depends on the content of the simulated pile construction data, and the present disclosure does not make specific limitations.

[0066] In an example, the pile construction method, the pile body data and the soil body data in any one set of sample pile construction data can be input into the initial finite element numerical model to obtain a simulated pile construction characteristic curve, and the simulated pile construction characteristic curve is compared with the pile construction characteristic curve in the set of sample pile construction data to determine the simulation error corresponding to the initial finite element numerical model.

[0067] Specifically, in the case where the pile construction method in the set of sample pile construction data is the static pressure method, the simulated pile construction characteristic curve can be calculated and compared with the pile construction characteristic curve in the set of sample pile construction data for comparative analysis, and the relative error of the penetration resistance at the same pile body penetration depth is calculated as the simulation error corresponding to the initial finite element numerical model; in the case where the pile construction method in the set of sample pile construction data is the hammering method, the simulated pile construction characteristic curve can be calculated and compared with the pile construction characteristic curve in the set of sample pile construction data for comparative analysis, and the relative error of the pile body penetration depth at the same hammering depth is calculated as the simulation error corresponding to the initial finite element numerical model.

[0068] In the case where the simulation error corresponding to the initial finite element numerical model satisfies the preset error threshold, the initial finite element numerical model can be determined as the target finite element numerical model to ensure the accuracy and reliability of the finite element numerical model; in the case where the simulation error corresponding to the initial finite element numerical model does not satisfy the preset error threshold, the parameters of the initial finite element numerical model can be adjusted until the simulation error corresponding to the initial finite element numerical model satisfies the preset error threshold. The specific value of the preset error threshold can be flexibly set according to actual use requirements, and the present disclosure does not make specific limitations thereto.

[0069] Taking the relative error between the pile construction curve simulated by the initial finite element numerical model and the pile construction characteristic curve in the sample pile construction data as an example, the preset error threshold can be set to 5%, which can ensure the safety and reliability of the pile construction when the target pile body is in the limit state of pile bearing capacity.

[0070] Based on the target finite element numerical model, parameter-variable numerical simulation analysis can be performed to determine the simulated sample pile construction data, so as to increase the sample size and improve the reliability and universality of the pile construction database. Specifically, the pile body material and material properties, the pile body size parameters, the soil body specific gravity, the soil body internal friction angle, the soil body cohesion and other parameters input into the target finite element numerical model can be changed in stages to obtain multiple sets of simulation outputs to constitute the simulated sample pile construction data.

[0071] The sample pile construction data and the simulated sample pile construction data are merged to form a pile construction database with a large amount of data, which is used to iteratively train a preset large language model until the preset training requirement is met, and a pile construction large language model is obtained. The specific form of the preset large language model can refer to the embodiments in the related art, and the present disclosure does not make specific limitations thereto; the specific form of the training requirement can be flexibly set according to the actual use requirement, for example, it can include that the number of iterations meets the preset number, and the present disclosure does not make specific limitations thereto.

[0072] Figure 3 A flowchart of constructing a pile construction large language model according to an embodiment of the present disclosure is shown. As shown in Figure 3 After the target finite element numerical model is constructed according to the multiple sets of sample pile construction data, the simulated sample pile construction data can be constructed to realize data expansion, and then merged with the multiple sets of sample pile construction data to establish a pile construction database. Any one data in the pile construction database corresponds to a pile construction method, pile body data, soil characteristic parameters, and pile construction characteristic curve of any one pile construction process. Based on the pile construction database, a preset large language model can be trained until a pile construction large language model is obtained.

[0073] To further improve the accuracy of the pile construction large language model, the pile construction large language model can be additionally verified for accuracy, and adjusted according to the verification result.

[0074] In an example, the pile construction large language model includes a soil characteristic parameter deduction sub-model. After obtaining verification pile construction data other than the pile construction database, the pile construction characteristic curve and the pile body data in the verification pile construction data are respectively input into the soil characteristic parameter deduction sub-model and a verification finite element numerical model different from the target finite element numerical model parameters, to obtain the soil characteristic parameters output by the soil characteristic parameter deduction sub-model and the soil characteristic parameters output by the verification finite element numerical model.

[0075] In the case where the relative error between the soil characteristic parameters output by the soil characteristic parameter deduction sub-model and the soil characteristic parameters output by the verification finite element numerical model meets the preset error threshold, it can be determined that the accuracy of the soil characteristic parameter deduction sub-model is qualified; in the case where the relative error between the soil characteristic parameters output by the soil characteristic parameter deduction sub-model and the soil characteristic parameters output by the verification finite element numerical model does not meet the preset error threshold, it can be determined that the accuracy of the soil characteristic parameter deduction sub-model is unqualified, and the soil characteristic parameter deduction sub-model needs to be adjusted.

[0076] In an example, the pile construction large language model comprises a pile construction curve prediction sub-model. After obtaining the verification pile construction data outside the pile construction database, the soil characteristic parameters and pile body data in the verification pile construction data can be input into the pile construction curve prediction sub-model, and a verification finite element numerical model different from the target finite element numerical model parameters, to obtain the pile construction characteristic curve output by the pile construction curve prediction sub-model, and the pile construction characteristic curve output by the verification finite element numerical model.

[0077] In the case where the relative error between the pile construction characteristic curve output by the pile construction curve prediction sub-model and the pile construction characteristic curve output by the verification finite element numerical model satisfies the preset error threshold, it can be determined that the accuracy of the pile construction curve prediction sub-model is qualified; in the case where the relative error between the pile construction characteristic curve output by the pile construction curve prediction sub-model and the pile construction characteristic curve output by the verification finite element numerical model does not satisfy the preset error threshold, it can be determined that the accuracy of the pile construction curve prediction sub-model is unqualified, and the pile construction curve prediction sub-model needs to be adjusted.

[0078] In the embodiments of the present disclosure, the real-time pile construction characteristic curve of the pile construction equipment corresponding to the target pile body can be used to realize "measuring while drilling" in the pile construction process, and reduce the demand for geological exploration data and pre-pile testing; the pre-trained pile construction large language model can be used to process the real-time pile construction characteristic curve, so as to realize "evaluation while adjusting" in the pile construction process, determine the operation state adjustment instruction corresponding to the pile construction equipment, and ensure that the operation state adjustment instruction has high accuracy and reliability. The operation state adjustment instruction can be used to adjust the real-time operation state of the pile construction equipment, realize automatic control of the pile construction process, and thus improve the construction efficiency and construction safety.

[0079] It can be understood that the above-mentioned various method embodiments mentioned in the present disclosure can be combined with each other to form combined embodiments without violating the principle logic. Limited by the length, the present disclosure will not be repeated. Those skilled in the art can understand that in the above-mentioned method of the specific embodiment, the specific execution order of each step should be determined according to its function and possible internal logic.

[0080] In addition, the present disclosure also provides a pile construction control system based on big data pre-analysis, which can use the above-mentioned pile construction control method to realize whole-process control of the pile construction process.

[0081] Figure 4 A block diagram of a pile construction control system based on big data pre-analysis according to an embodiment of the present disclosure is shown. As shown in FIG. 1, the pile construction control system based on big data pre-analysis comprises a pile construction data pre-processing module 101, a pile construction large language model 102, a pile construction characteristic curve prediction module 103, a pile construction equipment operation state adjustment module 104, and a pile construction equipment 105. Figure 4As shown, the system 400 comprises a measurement sensor module 401, a data processing module 402 and a construction equipment control module 403.

[0082] The measurement sensor module 401 is configured to determine a real-time pile-forming construction characteristic curve of the pile-forming construction equipment corresponding to the target pile during the pile-forming construction of the target pile.

[0083] The measurement sensor module 401 can be arranged on the target pile and the pile-forming construction equipment corresponding to the target pile, so as to monitor the real-time mechanical state of the target pile and the pile-forming construction equipment during the pile-forming construction of the target pile, obtain multi-dimensional measurement data, realize "measuring while constructing", and determine the real-time pile-forming construction characteristic curve of the pile-forming construction equipment according to the measurement data. The specific form of the measurement sensor module 401 can be flexibly set according to actual use requirements, and the present disclosure does not make specific limitations in this regard.

[0084] In one possible implementation, the measurement sensor module 401 comprises a pile body strain sensor, a pile side and pile bottom soil pressure sensor, an energy measuring device and a pile body displacement sensor.

[0085] The pile body strain sensor can be arranged on the pile body of the target pile, and is configured to monitor the strain generated by the stress deformation of the target pile in real time during the pile-forming construction of the target pile. The specific form of the pile body strain sensor can refer to the implementation in the related art, and the present disclosure does not make specific limitations in this regard.

[0086] The pile side and pile bottom soil pressure sensor can be arranged on the side surface of the pile body of the target pile and the pile bottom of the target pile, and is configured to monitor the contact stress between the side surface and bottom surface of the target pile and the soil in real time during the pile-forming construction of the target pile. The specific form of the pile side and pile bottom soil pressure sensor can refer to the implementation in the related art, and the present disclosure does not make specific limitations in this regard.

[0087] The energy measuring device can be configured to measure the output energy of the pile-forming construction equipment in real time during the pile-forming construction of the target pile. The specific form thereof can be flexibly set according to actual use requirements, and depends on the specific form of the pile-forming construction equipment. It can be a static pressure quality measuring device or a hammer energy measuring device, and the present disclosure does not make specific limitations in this regard.

[0088] The pile body displacement sensor can be configured to measure the displacement of the target pile in real time during the pile-forming construction of the target pile, including the displacement of the target pile in the vertical direction and the offset of the target pile in the horizontal direction, etc. The specific form of the pile body displacement sensor can refer to the implementation in the related art, and the present disclosure does not make specific limitations in this regard.

[0089] In addition to the above-mentioned sensors, other sensors can be included in the measurement sensing module 401, which can be adjusted adaptively according to actual use requirements, and the present disclosure does not make specific limitations thereto.

[0090] The data processing module 402 is configured to utilize the above-mentioned pile-forming construction control method to perform data processing on the real-time pile-forming construction characteristic curve, and determine the operation state adjustment instruction corresponding to the pile-forming construction equipment.

[0091] During the pile-forming construction process of the target pile body, the measurement sensing module 401 can transmit the measurement data and the real-time pile-forming construction characteristic curve to the data processing module 402. After receiving the real-time pile-forming construction characteristic curve, the data processing module 402 can utilize the above-mentioned pile-forming construction control method to perform data processing on the real-time pile-forming construction characteristic curve, and determine the operation state adjustment instruction corresponding to the pile-forming construction equipment. For specific processes, refer to the description in the above method section, which will not be repeated here.

[0092] The specific data transmission method can be flexibly set according to actual use requirements, for example, wired connection devices between the measurement sensing module 401 and the data processing module 402 can be used for data transmission, or wireless communication networks such as Bluetooth and wireless networks can be used for data transmission, and the present disclosure does not make specific limitations thereto. The specific form of the data processing module 402 can refer to the implementation in the related art, for example, it can be an electronic device such as a terminal device or a server. The terminal device can be a user equipment (User Equipment, UE), a mobile device, a user terminal, a terminal, a cellular phone, a cordless phone, a personal digital assistant (Personal Digital Assistant, PDA), a handheld device, a computing device, a vehicle-mounted device, a wearable device, etc., and the present disclosure does not make specific limitations thereto.

[0093] The construction equipment control module 403 is configured to adjust the real-time operation state of the pile-forming construction equipment according to the operation state adjustment instruction.

[0094] The construction equipment control module 403 can adjust the real-time operation state of the pile-forming construction equipment after receiving the operation state adjustment instruction from the data processing module 402. The specific form of the construction equipment control module 403 and the specific method of adjusting the real-time operation state of the pile-forming construction equipment can be flexibly set according to actual use requirements, and the present disclosure does not make specific limitations thereto.

[0095] In an example, the pile-forming construction equipment is a static pressure pile driver, and the construction equipment control module 403 can adjust the mass and / or quantity of the static pressure block in the static pressure pile driver according to the operation state adjustment instruction.

[0096] In one example, the pile driving equipment is a cylindrical hammer pile driver, and the construction equipment control module 403 can adjust the hammering height of the cylindrical hammer pile driver according to the operating status adjustment command.

[0097] Figure 5 A schematic diagram of a pile driving construction control system based on big data pre-analysis according to an embodiment of the present disclosure is shown. Figure 5 As shown, a pile bottom pressure sensor 5011 and a displacement sensor 5012 are installed at the bottom of the target pile to measure the pile bottom pressure and displacement in real time. Multiple pile strain sensors 5013 are installed on the side of the target pile to measure the contact stress between the pile side and the soil in real time. A pile top marking is installed at the top of the target pile as a reference for measuring pile displacement. The pile bottom pressure sensor 5011, displacement sensor 5012, and multiple pile strain sensors 5013 can transmit their respective measurement data to the data processing module 502. After determining the operating status adjustment command based on the measurement data, the data processing module 502 can transmit the operating status adjustment command to the construction equipment control module 503 connected to the pile-forming construction equipment, thereby adjusting the real-time operating status of the pile-forming construction equipment.

[0098] The pile driving control system of this disclosure includes a measurement and sensing module, a data processing module, and a construction equipment control module. The measurement and sensing module can determine the real-time pile driving characteristic curve of the pile driving equipment corresponding to the target pile during the pile driving process, achieving "measurement as you drive" and reducing the need for geological survey data and pre-test piles. The data processing module can use a pre-trained large-scale language model for pile driving to process the real-time pile driving characteristic curve, enabling predictive analysis of the pile driving process, determining the corresponding operating status adjustment commands for the pile driving equipment, and ensuring the high accuracy and reliability of the operating status adjustment commands. The construction equipment control module can adjust the real-time operating status of the pile driving equipment according to the operating status adjustment commands, achieving automatic control of the pile driving process, which can improve construction efficiency and safety.

[0099] In one possible implementation, system 400 also includes a data display module for displaying real-time pile construction characteristic curves, predicted pile construction characteristic curves, real-time soil characteristic parameters, and predicted soil characteristic parameters.

[0100] The specific form of the data display module can be flexibly set according to actual usage needs. For example, it can be an LED display, etc. This disclosure does not make specific limitations on it.

[0101] In the pile-forming construction process of the target pile body, the data display module displays real-time pile-forming construction characteristic curves, predicted pile-forming construction characteristic curves, real-time soil body characteristic parameters, and predicted soil body characteristic parameters, so as to facilitate the construction personnel to manually intervene in the pile-forming construction process and further improve the safety and reliability of the pile-forming construction process.

[0102] The pile-forming construction control system of the embodiments of the present disclosure includes a measurement and sensing module, a data processing module, and a construction equipment control module. The measurement and sensing module can determine the real-time pile-forming construction characteristic curves of the pile-forming construction equipment corresponding to the target pile body in the pile-forming construction process of the target pile body, realize "measuring while drilling" in the pile-forming construction process, and reduce the demand for geological exploration data and pre-pile testing in the pile-forming construction process. The data processing module can use the pre-trained pile-forming construction large language model including the soil body characteristic parameter deduction sub-model and the pile-forming construction curve prediction sub-model to realize iterative analysis of the pile-forming construction process. Not only can the real-time soil body characteristic parameters of the soil layer currently contacted by the target pile body be determined, but also the predicted soil body characteristic parameters of the soil layer predicted to be contacted by the target pile body can be determined. Thus, the target pile body and the pile-forming construction equipment can be analyzed in advance while the current construction progress is determined, the operation state adjustment instruction corresponding to the pile-forming construction equipment can be determined, and the operation state adjustment instruction can have high accuracy and reliability. The construction equipment control module can adjust the real-time operation state of the pile-forming construction equipment according to the operation state adjustment instruction, realize automatic control of the pile-forming construction process, and improve the construction efficiency and construction safety.

[0103] The above has described the embodiments of the present disclosure, and the above description is exemplary, not exhaustive, and is not limited to the disclosed embodiments. Many modifications and changes are obvious to those skilled in the art without departing from the scope and spirit of the described embodiments. The selection of the terms used herein is intended to best explain the principles, practical applications, or technical improvements in the market of the embodiments, or to enable other ordinary skilled persons in the art to understand the embodiments disclosed herein.​

Claims

1. A method for control of piling construction based on big data pre-analysis, characterized in that, The method comprises the following steps: determining a real-time pile-forming construction characteristic curve of a pile-forming construction equipment corresponding to a target pile body; processing data of the real-time pile-forming construction characteristic curve by using a pre-trained pile-forming construction large language model to determine an operation state adjustment instruction corresponding to the pile-forming construction equipment; adjusting a real-time operation state of the pile-forming construction equipment according to the operation state adjustment instruction; wherein the pile-forming construction large language model comprises a soil body characteristic parameter deduction sub-model and a pile-forming construction curve prediction sub-model, and the operation state adjustment instruction comprises an operation parameter adjustment instruction and a construction completion instruction, wherein the operation parameter adjustment instruction is used to adjust a real-time operation parameter corresponding to the pile-forming construction equipment, and the construction completion instruction is used to instruct to stop the operation of the pile-forming construction equipment; the processing data of the real-time pile-forming construction characteristic curve by using the pre-trained pile-forming construction large language model to determine the operation state adjustment instruction corresponding to the pile-forming construction equipment comprises: inputting the real-time pile-forming construction characteristic curve and pile body data corresponding to the target pile body into the soil body characteristic parameter deduction sub-model to determine real-time soil body characteristic parameters corresponding to a soil layer currently contacted by the target pile body; determining a real-time pile body bearing capacity corresponding to the target pile body according to the real-time pile-forming construction characteristic curve and the real-time soil body characteristic parameters; in a case where the real-time pile body bearing capacity does not satisfy a target pile body bearing capacity corresponding to the target pile body, determining the operation state adjustment instruction according to the real-time soil body characteristic parameters; in a case where the real-time pile body bearing capacity satisfies the target pile body bearing capacity corresponding to the target pile body, determining the construction completion instruction; the determining the operation state adjustment instruction according to the real-time soil body characteristic parameters in the case where the real-time pile body bearing capacity does not satisfy the target pile body bearing capacity corresponding to the target pile body comprises: in the case where the real-time pile body bearing capacity does not satisfy the target pile body bearing capacity corresponding to the target pile body, inputting the real-time soil body characteristic parameters and the pile body data into the pile-forming construction curve prediction sub-model to determine a predicted pile-forming construction characteristic curve corresponding to the pile-forming construction equipment; determining predicted soil body characteristic parameters corresponding to a soil layer predicted to be contacted by the target pile body according to the soil body characteristic parameter deduction sub-model, the predicted pile-forming construction characteristic curve, and the pile body data; determining a reference operation parameter corresponding to the pile-forming construction equipment according to the real-time soil body characteristic parameters and the predicted soil body characteristic parameters; determining the operation state adjustment instruction according to the reference operation parameter.

2. The method of claim 1, wherein, in a case where the pile-forming construction equipment performs pile-forming construction based on a static pressure method, the real-time pile-forming construction characteristic curve is a pile body penetration depth-penetration resistance curve; in a case where the pile-forming construction equipment performs pile-forming construction based on a hammering method, the real-time pile-forming construction characteristic curve is a hammering number-pile body penetration depth curve.

3. The method according to claim 1 or 2, characterized in that, The method further comprises: constructing a pile-forming construction database according to a plurality of groups of sample pile-forming construction data; training a pre-set large language model according to the pile-forming construction database to determine the pile-forming construction large language model.

4. The method of claim 3, wherein, The method comprises the following steps: According to the sample pile construction data, a target finite element numerical model is constructed; Based on the target finite element numerical model, a variable parameter numerical simulation analysis is performed to determine the simulation sample pile construction data; According to the sample pile construction data and the simulation sample pile construction data, the pile construction database is constructed.

5. A pile-forming construction control system based on big data pre-analysis, characterized by, The system comprises a measurement sensing module, a data processing module and a construction equipment control module; The measurement sensing module is used to determine the real-time pile construction characteristic curve of the target pile body corresponding to the pile construction equipment during the pile construction process of the target pile body; The data processing module is used to perform data processing on the real-time pile construction characteristic curve by using the method of any one of claims 1 to 4 to determine the operation state adjustment instruction corresponding to the pile construction equipment; The construction equipment control module is used to adjust the real-time operation state of the pile construction equipment according to the operation state adjustment instruction.

6. The piling construction control system according to claim 5, characterized by The measurement sensing module comprises a pile body strain sensor, a pile side and pile bottom soil pressure sensor, an energy measuring device and a pile body displacement sensor.

7. A piling construction control system according to claim 5 or 6, characterised in that, The system further comprises a data display module for real-time display of the real-time pile construction characteristic curve, the predicted pile construction characteristic curve, the real-time soil body characteristic parameter and the predicted soil body characteristic parameter.

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