Steel pipe pile forming construction control method and device, electronic equipment and storage medium

Abstract

The invention relates to the field of steel pipe pile construction, and provides a steel pipe pile forming construction control method and device, electronic equipment and a computer readable storage medium. The method comprises the steps that a construction parameter database is provided, and the construction parameter database comprises historical construction parameters in the steel pipe pile driving process; determining a target model based on the historical construction parameters; current construction parameters in the piling process of the steel pipe pile are collected, and the current pile foundation bearing capacity at the current moment is obtained through calculation according to the target model and the current construction parameters; whether piling is stopped or not is determined according to the current pile foundation bearing capacity; and adding the current construction parameters into the construction parameter database. The steel pipe pile forming construction control method and device, the electronic equipment and the computer readable storage medium have the technical effects that the time point for stopping piling can be better determined, and the steel pipe pile forming effect is better.

Description

Technical Field

[0001] This application relates to the field of steel pipe pile construction, specifically to a method, device, electronic equipment, and computer-readable storage medium for controlling the construction of steel pipe piles. Background Technology

[0002] With the deepening integration of the global economy and the acceleration of regional integration, the construction of large-scale bridges spanning bays and straits has become a crucial artery connecting transportation hubs and promoting regional economic development. In this grand wave of engineering construction, the reliability and durability of the basic structure directly determine the safety and lifespan of the entire bridge.

[0003] Among them, steel pipe pile foundations play an irreplaceable role in cross-sea bridge projects due to their excellent structural bearing capacity, controllable settlement, and efficient construction speed. Their tube structure not only provides huge side wall friction and end bearing capacity, but their construction mode of factory prefabrication, on-site splicing, and sinking into the ground using large piling equipment also greatly adapts to the characteristics of short working windows and variable environments at sea.

[0004] However, traditional standards for stopping pile driving primarily rely on the "final penetration" (i.e., the depth of the pile after the final blow) and the number of blows. But in complex geological formations, the penetration may suddenly decrease due to briefly passing through a hard interlayer, or suddenly increase due to entering a weak layer, making reliance solely on real-time penetration data unreliable. Stopping driving too early leads to insufficient bearing capacity of the steel pipe pile, resulting in a suspended pile; stopping too late may damage the pile due to excessive hammering, resulting in a rotten pile. Therefore, determining the optimal time to stop pile driving during the construction of steel pipe piles has become a pressing issue. Summary of the Invention

[0005] In view of this, it is necessary to provide a method, device, electronic equipment and computer-readable storage medium for controlling the construction of steel pipe piles, so as to achieve better technical effects in determining the time point to stop pile driving and improving the pile formation effect of steel pipe piles.

[0006] To achieve the aforementioned technical effects, firstly, this application provides a method for controlling the construction of steel pipe piles, including: A construction parameter database is provided, which includes historical construction parameters during the steel pipe pile driving process; The target model is determined based on the historical construction parameters. The current construction parameters during the steel pipe pile driving process are collected, and the current pile bearing capacity at the current moment is calculated based on the target model and the current construction parameters. Determine whether to stop pile driving based on the current pile bearing capacity; Add the current construction parameters to the construction parameter database.

[0007] In one possible embodiment, determining the target model based on the historical construction parameters includes: Multiple preset models are provided, and the model error of each preset model is determined according to the historical construction parameters. The target model is selected based on the model error.

[0008] In one possible embodiment, selecting the target model based on the model error includes: Calculate the model error difference between each of the aforementioned model errors; Calculate the ratio of the error difference of each model to the maximum model error; Determine if there is a target ratio that is less than a preset ratio threshold; If there is a target ratio that is less than the preset ratio threshold, the preset model corresponding to the target ratio is determined as the target model, and the calculation weight value of each target model is determined according to the model error of the target model; If there is no ratio less than the preset ratio threshold, the preset model corresponding to the minimum model error is determined as the target model.

[0009] In one possible embodiment, the provision of multiple preset models includes: Multiple different types of initialization models are provided, and each initialization model is trained based on the historical construction parameters to obtain the multiple preset models.

[0010] In one possible embodiment, determining whether to stop pile driving based on the current pile bearing capacity includes: Collect the current elevation of the pile tip of the steel pipe pile; Determine whether the current pile tip elevation has reached a preset elevation threshold, and simultaneously determine whether the current pile foundation bearing capacity has reached a preset bearing capacity threshold; If the current pile tip elevation reaches the preset elevation threshold and the current pile bearing capacity reaches the preset bearing capacity threshold, then pile driving is stopped.

[0011] In one possible embodiment, it further includes: Collect the pile parameters of the steel pipe piles and the environmental parameters of the construction area; The construction plan is determined based on the pile parameters and the environmental parameters.

[0012] In one possible embodiment, it further includes: The current pile integrity and / or current pile tensile stress and / or current pile compressive stress of the steel pipe pile are calculated based on the current construction parameters. Whether to stop pile driving is determined based on the current pile integrity and / or the current pile tensile stress and / or the current pile compressive stress.

[0013] Secondly, this application provides a steel pipe pile pile construction control device, comprising: The database module provides a construction parameter database, which includes historical construction parameters during the steel pipe pile driving process. A model determination module, which is used to determine a target model based on the historical construction parameters; A data acquisition module is used to collect the current construction parameters during the piling process of the steel pipe piles; The calculation module is used to calculate the current pile foundation bearing capacity at the current moment based on the target model and the current construction parameters. The control module is used to determine whether to stop pile driving based on the current pile bearing capacity; The database module is also used to add the current construction parameters to the construction parameter database.

[0014] Thirdly, this application also provides an electronic device, including a memory and a processor, wherein, The memory is used to store programs; The processor, coupled to the memory, is used to execute the program stored in the memory to implement the steps in the steel pipe pile construction control method described in any of the above implementations.

[0015] Fourthly, this application also provides a computer-readable storage medium for storing a computer-readable program or instruction, which, when executed by a processor, can implement the steps in the steel pipe pile pile construction control method described in any of the above implementations.

[0016] The beneficial effects of this application are: Compared with related technologies, the steel pipe pile construction control method, device, electronic equipment, and computer-readable storage medium provided in this application acquire historical construction parameters generated during the steel pipe pile driving process at any current moment in the process. Based on these historical parameters, a target model is determined, making the target model more closely matched to the current steel pipe pile driving process. This leads to more accurate calculations of the current pile bearing capacity based on the target model and the current construction parameters. Determining whether to stop pile driving based on this more accurate current pile bearing capacity improves the reliability of the stopping point, resulting in better pile formation. This achieves the technical effect of better determining the stopping point and improving the pile formation effect. Attached Figure Description

[0017] To more clearly illustrate the technical solutions in the embodiments of this application, the accompanying drawings used in the description of the embodiments will be briefly introduced below. Obviously, the accompanying drawings described below are only some embodiments of this application. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0018] Figure 1 This is a schematic flowchart of a steel pipe pile construction control method provided in one embodiment of this application; Figure 2 This is a schematic diagram of the process for determining the target model based on historical construction parameters in a steel pipe pile construction control method provided in one embodiment of this application; Figure 3 This is a schematic diagram of the process of selecting a target model based on model error in a steel pipe pile construction control method provided in one embodiment of this application; Figure 4 This is a schematic diagram of the structure of a steel pipe pile pile construction control device provided in one embodiment of this application; Figure 5 This is a schematic diagram of the structure of an electronic device provided in one embodiment of this application. Detailed Implementation

[0019] The technical solutions of the embodiments of this application will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only a part of the embodiments of this application, and not all of them. All other embodiments obtained by those skilled in the art based on the embodiments of this application without creative effort are within the scope of protection of this application.

[0020] In the description of the embodiments of this application, unless otherwise stated, "multiple" means two or more. "And / or" describes the relationship between related objects, indicating that there can be three relationships. For example, A and / or B can represent three situations: A exists alone, A and B exist simultaneously, and B exists alone.

[0021] The terms "first," "second," etc., used in the embodiments of this application are for descriptive purposes only and should not be construed as indicating or implying their relative importance or implicitly specifying the number of technical features indicated. Therefore, a technical feature defined with "first" or "second" may explicitly or implicitly include at least one of that feature.

[0022] In this document, the term "embodiment" means that a particular feature, structure, or characteristic described in connection with an embodiment may be included in at least one embodiment of this application. The appearance of this phrase in various places throughout the specification does not necessarily refer to the same embodiment, nor is it a separate or alternative embodiment mutually exclusive with other embodiments. It will be explicitly and implicitly understood by those skilled in the art that the embodiments described herein can be combined with other embodiments.

[0023] This application provides a method, device, electronic equipment, and computer-readable storage medium for controlling the construction of steel pipe piles, which are described below.

[0024] Please refer to Figure 1 The steel pipe pile construction control method provided in this embodiment may specifically include the following steps: Step S101: Provide a construction parameter database, which includes historical construction parameters during the steel pipe pile driving process.

[0025] In this step, a series of relevant parameters are generated during the driving of steel pipe piles, such as pile tip elevation, penetration depth, pile diameter, construction pile length, hammer weight, hammer drop height, hammer eccentricity, total number of hammer blows, and penetration depth. These parameters are collected in real time as construction parameters for steel pipe piles. The construction parameters collected each time are filled into the database to obtain the construction parameter database. The construction parameters collected and written into the construction parameter database before the current moment are the historical construction parameters in this embodiment.

[0026] Step S102: Determine the target model based on historical construction parameters.

[0027] Please refer to Figure 2 In this embodiment, determining the target model based on historical construction parameters specifically includes the following steps: Step S201: Provide multiple preset models and determine the model error of each preset model based on historical construction parameters.

[0028] In this step S201, the multiple preset models specifically include various types of data analysis models such as Random Forest (RF) model, Multilayer Perceptron (MLP) model, eXtreme Gradient Boosting (XGBoost) model, and Convolutional Neural Network (CNN) model.

[0029] In this step, historical construction parameters are divided into a test set and a validation set. For each preset model, the test set is input for data prediction, yielding the prediction results for each preset model. The prediction results of each preset model are then compared with the actual data in the validation set to obtain the model error for each preset model. Specifically, the model error is one or more of the following parameters between the predicted data and the actual data in the validation set: variance, mean difference, standard deviation, coefficient of variation ratio, etc.

[0030] In this embodiment, the multiple preset models are specifically multiple data analysis models of different types that have already been trained. Alternatively, in some other embodiments of this application, the multiple preset models may also be data analysis models trained based on historical construction parameters. Specifically, this includes providing multiple initialization models of different types, training each initialization model based on historical construction parameters, and obtaining multiple preset models. The model training process includes: splitting the historical construction parameters into a training set and a validation set; training each initialization model using the training set; validating the training effect of the initialization model after the catenary is suspended based on the validation set; retaining some model parameters according to the validation results; and then training each initialization model again using the training set until a preset number of training iterations is reached or the validation results meet preset requirements, thereby obtaining multiple preset models that have been trained.

[0031] Step S202: Select the target model based on the model error.

[0032] In step S202, the preset model with the smallest model error is directly selected as the target model. Alternatively, in some other embodiments of this application, please refer to... Figure 3 This includes the following steps: Step S301: Calculate the model error difference between each model error.

[0033] In this step S301, the model error difference between any two preset models is calculated. For example, the model error difference K1 between the random forest model and the multilayer perceptron model is calculated, and the model error difference K2 between the multilayer perceptron model and the extreme gradient boosting tree model is calculated.

[0034] Step S302: Calculate the ratio of the error difference of each model to the maximum model error.

[0035] In step S302, taking the model error M1 corresponding to the extreme gradient boosting tree model with the maximum model error as an example, the ratios K1 / M1, K2 / M1, etc., of the model error difference K1, model error difference K2, etc. to the maximum model error M1 can be calculated respectively.

[0036] Step S303: Determine whether there is a target ratio less than a preset ratio threshold. If yes, proceed to step S304; otherwise, proceed to step S305.

[0037] In step S303, the preset ratio threshold is a constant threshold set in advance according to actual needs. Each ratio is compared with the preset ratio threshold to determine whether there is a ratio smaller than the preset ratio threshold. If there is, the ratio is determined to be the target ratio and step S304 is executed. If not, step S305 is executed.

[0038] Step S304: Determine the preset model corresponding to the target ratio as the target model, and determine the calculation weight value of each target model based on the model error of the target model.

[0039] In step S304, all preset models corresponding to the target ratio are first identified as target models. For example, if the target ratio is K1 / M1, then the random forest model and the multilayer perceptron model are identified as target models. The calculated weights of the random forest model and the multilayer perceptron model are determined based on their model errors. The specific calculation formulas are: Q1=E1 / (E1+E2), Q2=E2 / (E1+E2), where E1 and E2 are the model errors of the random forest model and the multilayer perceptron model, respectively, and Q1 and Q2 are the calculated weights of the random forest model and the multilayer perceptron model, respectively.

[0040] Step S305: Determine the preset model corresponding to the minimum model error as the target model.

[0041] Step S103: Collect the current construction parameters during the steel pipe pile driving process, and calculate the current pile bearing capacity at the current moment based on the target model and the current construction parameters.

[0042] In this step, for the target model, if the target model is multiple target models and their calculated weights determined in step S304, such as a random forest model and a multilayer perceptron model, the prediction results are calculated using the multiple target models and the current construction parameters respectively. Then, the prediction results are combined according to the calculated weights to obtain the current pile foundation bearing capacity. If the target model is a preset model corresponding to the minimum model error determined in step S305, the current pile foundation bearing capacity is calculated directly using the target model and the current construction parameters.

[0043] Step S104: Determine whether to stop pile driving based on the current pile bearing capacity.

[0044] In this step, the current pile tip elevation of the steel pipe pile is collected; it is then determined whether the current pile tip elevation has reached a preset elevation threshold, and simultaneously, whether the current pile foundation bearing capacity has reached a preset bearing capacity threshold. If both the current pile tip elevation and the current pile foundation bearing capacity reach the preset bearing capacity threshold, piling is stopped. By using both the current pile tip elevation and the current pile foundation bearing capacity as dual standards to determine whether to stop piling, real-time dual control of the steel pipe pile bearing capacity and design elevation is achieved, significantly improving construction efficiency, effectively avoiding pile damage or energy waste caused by excessive hammering, and ensuring that the steel pipe pile bearing capacity meets design requirements.

[0045] Furthermore, in some embodiments of this application, the current pile integrity and / or current pile tensile stress and / or current pile compressive stress of the steel pipe pile can be calculated based on the current construction parameters, and it can be determined whether to stop pile driving based on the current pile integrity and / or current pile tensile stress and / or current pile compressive stress.

[0046] Specifically, the current pile integrity of the steel pipe pile is calculated based on the current construction parameters using the formula... The current pile integrity is calculated. Here, Z is the pile impedance at the sensor installation point; x is the distance from the pile defect to the sensor installation point; tx is the time corresponding to the defect reflection peak; and Rx is the estimated soil resistance above the defect. Based on this, the decision to stop pile driving is determined according to the current pile integrity, including: when β=1.0, the pile is classified as Class I, no action is needed, only periodic monitoring; when 0.8≤β<1.0, the pile is classified as Class II, local reinforcement and enhanced monitoring are required; when 0.6≤β<0.8, the pile is classified as Class III, external reinforcement is required; and when β<0.6, the pile is classified as Class IV, demolition and reconstruction are required.

[0047] Specifically, the current tensile stress of the steel pipe pile, calculated based on the current construction parameters, is determined according to the formula... The current tensile stress in the pile body is calculated. Among them, Where: A is the maximum tensile stress; Z is the pile cross-sectional area; E is the pile impedance; c is the elastic modulus of the pile material; t1 is the time corresponding to the first peak value of the velocity wave; l is the pile length below the test section; and x is the distance between the calculation point and the test section. The current compressive stress of the steel pipe pile, calculated based on the current construction parameters, is specifically determined according to the formula... The current compressive stress of the pile body is calculated. Based on this, the decision to stop pile driving is made according to the current tensile stress and / or compressive stress of the pile body, including: monitoring that the maximum stress of the steel pipe pile body does not exceed 80%~90% of the yield strength; when the requirements of the specifications are not met, the hammering parameters are adjusted in a timely manner to reduce the hammer drop height.

[0048] Step S105: Add the current construction parameters to the construction parameter database.

[0049] Compared with related technologies, the steel pipe pile construction control method provided in this embodiment obtains historical construction parameters generated during the steel pipe pile driving process at any current moment during the driving process. Based on these historical parameters, a target model is determined, making the target model more closely match the current steel pipe pile driving process. This allows for more accurate calculation of the current pile bearing capacity based on the target model and the current construction parameters. Determining whether to stop driving based on the more accurate current pile bearing capacity improves the reliability of the stopping point, resulting in better pile formation. This achieves the technical effect of better determining the stopping point and improving the pile formation effect.

[0050] Furthermore, in this application, before step S101, the method includes: collecting pile parameters of the steel pipe piles and environmental parameters of the construction area; and determining a construction plan based on the pile parameters and environmental parameters. Specifically, this includes: selecting a suitable piling device based on different pile diameters and geological conditions, where pile diameter, hammer weight, and hammer type are the most significant factors affecting the driveability of steel pipe piles. Determining the construction plan based on pile parameters and environmental parameters specifically involves: for cases with clear and favorable geological conditions and high soil bearing capacity, it is recommended to use a hydraulic hammer with high impact energy and high impact frequency to improve piling efficiency, promote one-time pile formation, and improve construction quality. In cases of complex geological conditions or low soil bearing capacity, a staged hammering strategy is recommended: first, use a diesel hammer with extensive engineering experience to initially drive the steel pipe piles in a conservative manner to achieve a stable state; then, switch to a hydraulic hammer to continue driving until stopping, ensuring the final penetration depth and bearing capacity of the pile foundation.

[0051] The following is a detailed illustration of the practical application process of the steel pipe pile construction control method provided in the embodiments of this application: S1: The construction method and system for rapid pile formation by simultaneous driving, measuring, and evaluating of steel pipe piles according to the present invention are used to analyze the construction of steel pipe piles for a near-shore bridge project. The specific steps include: (1) Determine the pile driving device for steel pipe piles in a near-shore bridge project. The construction scheme selects the hammer type scheme, using a D160 diesel hammer for the initial pile driving operation. When the hammering energy of the D160 diesel hammer cannot meet the requirements for further pile driving, switch to a MENCK800s hydraulic hammer for subsequent hoisting and driving operations. The recommended selection of pile driving devices is shown in Table 1.

[0052] Table 2 Recommendations for Pile Driving Equipment

[0053] (2) High strain testing + GPS real-time monitoring technology and equipment are preferred. During the steel pipe pile hammering construction, the verticality of the pile body is monitored in real time using a high-precision GPS pile positioning device, and the penetration is monitored in real time using an infrared scanner in the GPS pile positioning device. The number of hammer blows is recorded throughout the process using a pile counter to provide data support for the construction process. The real-time monitoring data is shown in Table 2.

[0054] Table 2 Real-time monitoring data of steel pipe pile construction

[0055] (3) Real-time assessment of steel pipe pile construction. Based on real-time high-strain test data, a rapid CASE analysis was performed on-site to assess the pile condition during the hammer driving process. The pile condition analysis results are shown in Table 4. The bearing capacity of the steel pipe pile was assessed in real time by inputting real-time monitoring data into the model for calculation. The calculation results of the bearing capacity of the steel pipe pile are shown in Table 3.

[0056] Table 3 Results of Pile Body Condition Analysis

[0057] As shown in Table 3, no damage occurred to the pile body during the entire construction process of hammer driving, the pile body integrity coefficient was 100%, and the maximum stress of the pile body occurred at a depth of 67.9m, with a value of 200.8MPa, which meets the specification requirements.

[0058] Table 4 Calculation results of bearing capacity of steel pipe piles

[0059] The engineering example has a design bearing capacity of 23500kN and a design pile tip elevation of 82.5m. Following the rapid pile-forming construction method and system-defined stopping criteria for steel pipe piles (simultaneous driving, measuring, and evaluation), the steel pipe pile reached its design bearing capacity and design pile tip elevation at a depth of 67.6m. Three more hammer blows were then performed, each approximately 10 blows, penetrating 0.1m further. The penetration depth of the final blow was recorded. The stopping bearing capacity was calculated using a machine learning model, yielding a result of 23945.84861kN. At this point, the stopping criteria were met, and hammering was stopped.

[0060] To better implement the steel pipe pile construction control method in the embodiments of this application, based on the steel pipe pile construction control method, please refer to the corresponding... Figure 4 This application also provides a steel pipe pile construction control device, which includes: Database module 401 is used to provide a construction parameter database, which includes historical construction parameters during the steel pipe pile driving process. Model determination module 402 is used to determine the target model based on historical construction parameters; Data acquisition module 403 is used to acquire the current construction parameters during the steel pipe pile driving process; Calculation module 404 is used to calculate the current pile bearing capacity at the current moment based on the target model and current construction parameters. Control module 405 is used to determine whether to stop pile driving based on the current pile bearing capacity; Database module 401 is also used to add the current construction parameters to the construction parameter database.

[0061] The steel pipe pile construction control device provided in the above embodiments can realize the technical solutions described in the embodiments of the steel pipe pile construction control method. The specific implementation principles of each module or unit can be found in the corresponding content of the embodiments of the steel pipe pile construction control method, which will not be repeated here.

[0062] Please refer to Figure 5 This application also provides an electronic device 500. The electronic device 500 includes a processor 501, a memory 502, and a display 503. Figure 5 Only some components of the electronic device 500 are shown, but it should be understood that it is not required to implement all the components shown, and more or fewer components may be implemented instead.

[0063] In some embodiments, processor 501 may be a central processing unit (CPU), microprocessor, or other data processing chip, used to run program code stored in memory 502 or process data, such as the steel pipe pile pile construction control method in this application.

[0064] In some embodiments, processor 501 may be a single server or a group of servers. The server group may be centralized or distributed. In some embodiments, processor 501 may be local or remote. In some embodiments, processor 501 may be implemented on a cloud platform. In one embodiment, the cloud platform may include a private cloud, public cloud, hybrid cloud, community cloud, distributed cloud, inter-cloud, multi-cloud, or any combination thereof.

[0065] In some embodiments, memory 502 may be an internal storage unit of electronic device 500, such as a hard disk or memory of electronic device 500. In other embodiments, memory 502 may also be an external storage device of electronic device 500, such as a plug-in hard disk, smart media card (SMC), secure digital (SD) card, flash card, etc. equipped on electronic device 500.

[0066] Furthermore, the memory 502 may include both internal storage units of the electronic device 500 and external storage devices. The memory 502 is used to store application software and various types of data installed on the electronic device 500.

[0067] In some embodiments, display 503 may be an LED display, a liquid crystal display, a touch-sensitive liquid crystal display, or an OLED (Organic Light-Emitting Diode) touchscreen. Display 503 is used to display information from electronic device 500 and to display a visual user interface. Components 501-503 of electronic device 500 communicate with each other via a system bus.

[0068] In one embodiment, when the processor 501 executes the steel pipe pile pile construction control program in the memory 502, the following steps can be implemented: Provides a construction parameter database, which includes historical construction parameters during the steel pipe pile driving process; Determine the target model based on historical construction parameters; Collect the current construction parameters during the steel pipe pile driving process, and calculate the current pile bearing capacity at the current moment based on the target model and the current construction parameters; Determine whether to stop pile driving based on the current bearing capacity of the pile foundation; Add the current construction parameters to the construction parameter database.

[0069] It should be understood that when the processor 501 executes the steel pipe pile pile construction control program in the memory 502, in addition to the functions mentioned above, it can also perform other functions, as can be found in the description of the corresponding method embodiments above.

[0070] Furthermore, this application does not specifically limit the type of electronic device 500 mentioned in the embodiments. Electronic device 500 can be a mobile phone, tablet computer, personal digital assistant (PDA), wearable device, laptop computer, or other portable electronic devices. Exemplary embodiments of portable electronic devices include, but are not limited to, portable electronic devices running iOS, Android, Microsoft, or other operating systems. The aforementioned portable electronic device can also be other portable electronic devices, such as a laptop computer with a touch-sensitive surface (e.g., a touch panel). It should also be understood that in some other embodiments of this application, electronic device 500 may not be a portable electronic device, but rather a desktop computer with a touch-sensitive surface (e.g., a touch panel).

[0071] Accordingly, this application also provides a computer-readable storage medium for storing computer-readable programs or instructions. When the programs or instructions are executed by a processor, they can implement the steps or functions of the steel pipe pile pile construction control methods provided in the above-described method embodiments.

[0072] Those skilled in the art will understand that all or part of the processes of the methods described in the above embodiments can be implemented by a computer program instructing related hardware (such as a processor, controller, etc.), and the computer program can be stored in a computer-readable storage medium. The computer-readable storage medium may be a disk, optical disk, read-only memory, or random access memory, etc.

[0073] The above provides a detailed description of the steel pipe pile construction control method, device, electronic equipment, and storage medium provided in this application. Specific examples have been used to illustrate the principles and implementation methods of this application. The descriptions of the above embodiments are only for the purpose of helping to understand the method and core ideas of this application. At the same time, for those skilled in the art, there will be changes in the specific implementation methods and application scope based on the ideas of this application. Therefore, the content of this specification should not be construed as a limitation of this application.

Claims

1. A method for controlling the construction of steel pipe piles, characterized in that, include: A construction parameter database is provided, which includes historical construction parameters during the steel pipe pile driving process; The target model is determined based on the historical construction parameters. The current construction parameters during the steel pipe pile driving process are collected, and the current pile bearing capacity at the current moment is calculated based on the target model and the current construction parameters. Determine whether to stop pile driving based on the current pile bearing capacity; Add the current construction parameters to the construction parameter database.

2. The method for controlling the construction of steel pipe piles according to claim 1, characterized in that, The determination of the target model based on the historical construction parameters includes: Multiple preset models are provided, and the model error of each preset model is determined according to the historical construction parameters. The target model is selected based on the model error.

3. The method for controlling the construction of steel pipe piles according to claim 2, characterized in that, The step of selecting the target model based on the model error includes: Calculate the model error difference between each of the aforementioned model errors; Calculate the ratio of the error difference of each model to the maximum model error; Determine if there is a target ratio that is less than a preset ratio threshold; If there is a target ratio that is less than the preset ratio threshold, the preset model corresponding to the target ratio is determined as the target model, and the calculation weight value of each target model is determined according to the model error of the target model; If there is no ratio less than the preset ratio threshold, the preset model corresponding to the minimum model error is determined as the target model.

4. The method for controlling the construction of steel pipe piles according to claim 2, characterized in that, The system provides multiple preset models, including: Multiple different types of initialization models are provided, and each initialization model is trained based on the historical construction parameters to obtain the multiple preset models.

5. The method for controlling the construction of steel pipe piles according to claim 1, characterized in that, The step of determining whether to stop pile driving based on the current pile foundation bearing capacity includes: Collect the current elevation of the pile tip of the steel pipe pile; Determine whether the current pile tip elevation has reached a preset elevation threshold, and simultaneously determine whether the current pile foundation bearing capacity has reached a preset bearing capacity threshold; If the current pile tip elevation reaches the preset elevation threshold and the current pile bearing capacity reaches the preset bearing capacity threshold, then pile driving is stopped.

6. The method for controlling the construction of steel pipe piles according to claim 1, characterized in that, Also includes: Collect the pile parameters of the steel pipe piles and the environmental parameters of the construction area; The construction plan is determined based on the pile parameters and the environmental parameters.

7. The method for controlling the construction of steel pipe piles according to any one of claims 1 to 6, characterized in that, Also includes: The current pile integrity and / or current pile tensile stress and / or current pile compressive stress of the steel pipe pile are calculated based on the current construction parameters. Whether to stop pile driving is determined based on the current pile integrity and / or the current pile tensile stress and / or the current pile compressive stress.

8. A steel pipe pile construction control device, characterized in that, include: The database module provides a construction parameter database, which includes historical construction parameters during the steel pipe pile driving process. A model determination module, which is used to determine a target model based on the historical construction parameters; A data acquisition module is used to collect the current construction parameters during the piling process of the steel pipe piles; The calculation module is used to calculate the current pile foundation bearing capacity at the current moment based on the target model and the current construction parameters. The control module is used to determine whether to stop pile driving based on the current pile bearing capacity; The database module is also used to add the current construction parameters to the construction parameter database.

9. An electronic device, characterized in that, Including memory and processor, among which, The memory is used to store programs; The processor, coupled to the memory, is used to execute the program stored in the memory to implement the steps in the steel pipe pile construction control method according to any one of claims 1 to 7.

10. A computer-readable storage medium, characterized in that, Used to store computer-readable programs or instructions, which, when executed by a processor, can implement the steps in the steel pipe pile construction control method according to any one of claims 1 to 7.

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