Automatic arrangement method and device for steel pipe pile foundation

Abstract

The invention relates to the field of building construction, and discloses a steel pipe pile foundation automatic arrangement method and device.The method comprises the steps that construction site data are collected to form a site information database, and the data comprise topographic maps, geological reports and site sizes; performing regional division on the site according to pile foundation arrangement requirements, and identifying arrangement influence factors of each region; pile foundation arrangement is planned based on the factors, and an arrangement reference target is obtained; key influence factors are set, historical construction site information is identified, and historical reference arrangement is obtained through data analysis; and determining a pile foundation arrangement prediction target in combination with the arrangement reference target and the historical reference arrangement. The method can control the deviation of an area with large engineering quantity elasticity, optimizes the arrangement scheme, and improves the construction efficiency and accuracy.

Description

Technical Field

[0001] The invention relates to the field of building construction, and in particular to a method and a device for automatically arranging a steel pipe pile foundation. Background Art

[0002] In modern engineering construction, steel pipe pile foundation is an important basic engineering component, and its layout design plays a vital role in the stability and durability of the project. The traditional steel pipe pile foundation layout method mainly relies on the experience and expertise of engineers, and plans the pile foundation layout by manually analyzing project requirements, site conditions and potential risks. However, with the expansion of the scale and complexity of engineering projects, this manual method has problems such as low efficiency, strong subjectivity, and susceptibility to thinking limitations, which makes it difficult to meet the high efficiency and high precision requirements of modern engineering.

[0003] In the process of implementing the embodiments of the present invention, the inventors found that there are at least the following problems or defects in the prior art: the traditional layout method cannot quickly adapt to the complex and changeable construction site conditions, lacks effective use of historical construction data, and is insufficient in automation and intelligence, resulting in the inability to achieve automation and optimization of the steel pipe pile foundation layout. Summary of the invention

[0004] The embodiments of the present invention aim to provide a method and device for automatically arranging a steel pipe pile foundation, so as to solve the technical problems raised in the prior art.

[0005] The embodiment of the present invention solves the technical problem by adopting the following technical solution:

[0006] In a first aspect, a method for automatically arranging a steel pipe pile foundation is provided, comprising:

[0007] Collecting construction site data to form a site information database, wherein the construction site data includes a topographic map, a geological report, and corresponding site dimension data;

[0008] According to the arrangement requirements of the steel pipe pile foundation, the construction site is divided into regions, and at the same time, the influencing factors of the arrangement of the steel pipe pile foundation are identified for different regions of the construction site;

[0009] Planning the arrangement of the steel pipe pile foundation based on the influencing factors of the steel pipe pile foundation arrangement to obtain an arrangement reference target;

[0010] Based on the influencing factors of the steel pipe pile foundation arrangement, key influencing factors of the same type of site are set, and based on the key influencing factors, historical construction site information of the same type is identified, and then a historical reference arrangement of steel pipe pile foundations of the same type of historical construction sites is obtained through data analysis;

[0011] And according to the arrangement reference target and the historical reference arrangement of the steel pipe pile foundation, a steel pipe pile foundation arrangement prediction target is determined.

[0012] Furthermore, after determining the prediction target of the steel pipe pile foundation arrangement, the method further includes:

[0013] Combined with regional decomposition, the steel pipe pile foundation design layout of different regions is compared with the predicted target of the steel pipe pile foundation layout, the deviation and impact ratio are determined, and the regions with greater engineering volume elasticity are adjusted first to control the deviation within a preset error range;

[0014] And the steel pipe pile foundation automatic layout method is used to predict the design layout of steel pipe pile foundations in different types of construction sites.

[0015] Furthermore, according to the arrangement requirements of the steel pipe pile foundation, the construction site is divided into regions, and the factors affecting the arrangement of the steel pipe pile foundation are identified for different regions of the construction site, including:

[0016] Determining the layout requirements of the construction site according to the topographic map;

[0017] Decomposing the civil engineering part of the construction site into a pile foundation area, a cap area, a superstructure area and ancillary facilities area according to the layout requirements of the construction site;

[0018] And identify the influencing factors of the steel pipe pile foundation layout in the pile foundation area, pedestal area, superstructure area and ancillary facilities area of ​​the construction site, the influencing factors of the steel pipe pile foundation layout include geographical location, topography, environment, wind speed, temperature, geology, pile diameter, pile length, pile spacing, pedestal size, superstructure load, and ancillary facilities requirements.

[0019] Furthermore, the layout of the steel pipe pile foundation is planned based on the influencing factors of the steel pipe pile foundation layout, and the layout reference targets include:

[0020] Separately planning the steel pipe pile foundation arrangement of the pile foundation area, the cap area, the upper structure area and the ancillary facilities area of ​​the construction site to obtain the steel pipe pile foundation arrangement of different areas;

[0021] And the steel pipe pile foundation arrangements in different areas are superimposed to obtain the total steel pipe pile foundation arrangement of the construction site as the arrangement reference target.

[0022] Further, identifying the same type of historical construction site information based on the key influencing factors includes:

[0023] Based on the key influencing factors, all sample data are searched and K-means clustering algorithm is applied to find the objective function.

[0024]

[0025] The minimum number of clusters k and the corresponding cluster center μ i . Among them, x represents sample data, C i represents the i-th cluster, μ i represents the i-th cluster center, J represents the objective function, whose value is the sum of the squares of the distances from each sample data to its cluster center.

[0026] Furthermore, the categories of sample data and the centers of each category are finally determined according to the K-means clustering algorithm, further including:

[0027] Given the number of cluster categories k, initialize the cluster center μ i , assign the sample data to the category to which the nearest cluster center belongs, recalculate the cluster center, and repeat the above steps until the cluster center no longer changes.

[0028] Furthermore, the historical reference layout of steel pipe pile foundations of the same type of historical construction sites is obtained through data analysis, including:

[0029] Calculate the median, upper quartile, lower quartile, maximum value, minimum value, sample mean and sample variance of the sample data;

[0030] Outliers are removed by using a box plot to perform an outlier analysis on the sample data, wherein the outlier is no less than the lower quartile QL minus 1.5 times the interquartile range QIQR, and greater than the upper quartile QU plus 1.5 times the interquartile range QIQR;

[0031] According to the 3σ principle, at least 99.7% of the statistics fall within the interval middle;

[0032]

[0033] Wherein, μ is the average value of the sample data, is the standard deviation of the sample data; the reasonable interval of the steel pipe pile foundation arrangement is finally obtained as

[0034] μ-k1σ≤x≤μ+k1σ

[0035] The historical reference layout of steel pipe pile foundations for the same type of historical construction sites is calculated by the following formula

[0036] CKLP:CKLP=μ

[0037] Among them, μ represents the mean value of the sample data, k1 is the coefficient, and σ is the standard deviation of the sample data.

[0038] Further, according to the arrangement reference target and the historical reference arrangement of the steel pipe pile foundation, determining the predicted arrangement target of the steel pipe pile foundation includes:

[0039] The steel pipe pile foundation layout prediction target is determined by the following formula:

[0040] PG=(μ+CKYC) / 2

[0041] Among them, PG is the predicted target of the site to be constructed, CKYC is the layout reference target constructed in combination with influencing factors, and μ represents the average value of sample data.

[0042] Furthermore, planning the arrangement of the steel pipe pile foundation based on the influencing factors of the steel pipe pile foundation arrangement to obtain an arrangement reference target includes: planning the arrangement of the steel pipe pile foundation based on the influencing factors of the steel pipe pile foundation arrangement using a neural network-based model to obtain an arrangement reference target, wherein the neural network model processes input data through neuron connections and activation functions, and the output is the processed result.

[0043] In a second aspect of the present invention, there is provided a steel pipe pile foundation automatic arrangement device, comprising:

[0044] A data acquisition module, used for collecting construction site data to form a site information database, wherein the construction site data includes a topographic map, a geological report and corresponding site dimension data;

[0045] An influencing factor identification module is used to divide the construction site into regions according to the office layout requirements of the steel pipe pile foundation, and identify the influencing factors of the steel pipe pile foundation layout for different regions of the construction site;

[0046] A target planning module is used to plan the arrangement of the steel pipe pile foundation based on the influencing factors of the arrangement of the steel pipe pile foundation to obtain an arrangement reference target;

[0047] A historical layout acquisition module is used to set key influencing factors of the same type of construction site based on the influencing factors of the steel pipe pile foundation layout, identify the same type of historical construction site information based on the key influencing factors, and then obtain the historical reference layout of the steel pipe pile foundation of the same type of historical construction site through data analysis;

[0048] And a prediction target acquisition module is used to determine the steel pipe pile foundation layout prediction target according to the layout reference target and the steel pipe pile foundation historical reference layout.

[0049] The above-mentioned embodiments of the present invention have at least the following beneficial effects: the automatic arrangement method of steel pipe pile foundations described in the present invention collects detailed data of the construction site and forms a site information database, divides the construction site into regions in combination with the arrangement requirements of the steel pipe pile foundation, and identifies the factors affecting the arrangement of the pile foundation in each region. By comprehensively considering these factors, the method can scientifically plan the arrangement of the steel pipe pile foundation and obtain a more reasonable arrangement reference target. In addition, the method can also analyze historical construction site data, extract key influencing factors, and use data analysis to obtain historical reference arrangements, thereby providing a more accurate arrangement prediction target for the new construction site. The application of this method can significantly improve the efficiency and accuracy of pile foundation arrangement, and reduce engineering costs and construction time.

[0050] In addition, by combining regional decomposition and historical data, the automatic layout method of steel pipe pile foundation can compare the design layout of steel pipe pile foundation in different regions with the predicted target, judge the deviation and impact ratio, and give priority to adjusting the areas with greater engineering volume elasticity to control the deviation within the preset error range. This method can optimize the construction plan, reduce resource waste, and improve the safety and reliability of the project. At the same time, the application of this method can also be extended to different types of construction sites, enhance the versatility and adaptability of the layout plan, and provide an innovative automation solution for the construction field. BRIEF DESCRIPTION OF THE DRAWINGS

[0051] One or more embodiments are exemplarily described by the figures in the corresponding drawings, and these exemplifications do not constitute limitations on the embodiments. Elements with the same reference numerals in the drawings represent similar elements, and unless otherwise stated, the figures in the drawings do not constitute proportional limitations.

[0052] Figure 1 It is a schematic diagram of a flow chart of a method for automatically arranging a steel pipe pile foundation provided by an embodiment of the present invention;

[0053] Figure 2 A schematic diagram of the structure of an automatic arrangement device for steel pipe pile foundations provided by an embodiment of the present invention;

[0054] Figure 3 The schematic diagram schematically shows the structure of an electronic device according to an embodiment of the present invention. DETAILED DESCRIPTION

[0055] In order to facilitate the understanding of the present invention, the present invention is described in more detail below in conjunction with the accompanying drawings and specific embodiments. It should be noted that when an element is described as "connecting" another element, it can be directly on another element, or there can be one or more centered elements therebetween. The orientation or positional relationship indicated by the terms "upper", "lower", "left", "right", "upper end", "lower end", "top" and "bottom" used in this specification is based on the orientation or positional relationship shown in the accompanying drawings, only for the convenience of describing the present invention and simplifying the description, rather than indicating or implying that the device or element referred to must have a specific orientation, be constructed and operated in a specific orientation, and therefore cannot be understood as a limitation of the present invention. In addition, the terms "first", "second", etc. are only used for descriptive purposes and cannot be understood as indicating or implying relative importance.

[0056] Unless otherwise defined, all technical and scientific terms used in this specification have the same meaning as those commonly understood by those skilled in the art of the present invention. The terms used in the specification of the present invention are only for the purpose of describing specific embodiments and are not intended to limit the present invention.

[0057] Combine the following Figure 1 , the automatic arrangement method 100 of the steel pipe pile foundation provided in the embodiment of the present application is described in detail through a specific example.

[0058] Figure 1 The figure is a flow chart of the automatic arrangement method of steel pipe pile foundation provided by the present invention. The automatic arrangement method of steel pipe pile foundation provided by one embodiment of the present invention comprises:

[0059] Step 101, collecting construction site data to form a site information database, wherein the construction site data includes a topographic map, a geological report, and corresponding site dimension data;

[0060] Step 102, dividing the construction site into regions according to the arrangement requirements of the steel pipe pile foundation, and identifying the influencing factors of the arrangement of the steel pipe pile foundation for different regions of the construction site;

[0061] Step 103, planning the arrangement of the steel pipe pile foundation based on the influencing factors of the arrangement of the steel pipe pile foundation to obtain an arrangement reference target;

[0062] Step 104, setting key influencing factors of the same type of site based on the influencing factors of the steel pipe pile foundation arrangement, identifying the same type of historical construction site information based on the key influencing factors, and then obtaining the historical reference arrangement of the steel pipe pile foundation of the same type of historical construction site through data analysis;

[0063] Step 105, determining a predicted target for steel pipe pile foundation arrangement according to the arrangement reference target and the historical reference arrangement of the steel pipe pile foundation.

[0064] It should be noted that the automatic layout method first involves collecting construction site data to form a site information database, which means that we need to systematically organize and record the details of the construction site. Here, construction site data refers to all information related to the construction site, including but not limited to topographic maps, geological reports, and corresponding site dimension data. The site information database refers to a system that stores this data, which can be electronic or paper, but the purpose is to facilitate query and analysis.

[0065] Specifically, the collection of construction site data can be done in a variety of ways, such as field measurements, satellite remote sensing, historical data query, etc. Topographic maps refer to maps that show the undulations of the ground, geological reports contain detailed analysis of underground conditions such as soil composition and rock structure, and site dimension data refers to specific measurements of the length, width, and height of the construction area. These data will be entered into a site information database, which can be a cloud-based storage system or a local server. The key is to be able to access the data safely and efficiently.

[0066] Preferably, the site information database can adopt a structured query language (SQL) database management system to facilitate complex queries and data analysis. In practical applications, we can use a geographic information system (GIS) to store and analyze topographic maps and site dimension data, and geological reports can be converted into records in the database to extract the geological characteristics of a specific area. In addition, the database can also contain additional information about the local climate, hydrology, etc., which is also crucial for the layout of steel pipe pile foundations.

[0067] In some embodiments, after determining the steel pipe pile foundation arrangement prediction target, the method further includes:

[0068] Combined with regional decomposition, the steel pipe pile foundation design layout of different regions is compared with the predicted target of the steel pipe pile foundation layout, the deviation and impact ratio are determined, and the regions with greater engineering volume elasticity are adjusted first to control the deviation within a preset error range;

[0069] And the steel pipe pile foundation automatic layout method is used to predict the design layout of steel pipe pile foundations in different types of construction sites.

[0070] It should be noted that after determining the steel pipe pile foundation layout prediction target, this embodiment further includes a step of comparing the steel pipe pile foundation design layout in different regions with the layout prediction target in combination with regional decomposition. Here, regional decomposition refers to dividing the construction site into several regions so that the pile foundation design layout in each region can be analyzed and adjusted separately. The layout prediction target is the expected target for the pile foundation layout of the entire construction site, which is obtained based on the previous steps.

[0071] Specifically, regional decomposition can be carried out according to the topography and geological conditions of the construction site and the specific requirements of the project. For example, the site can be divided into flat areas, slope areas and water areas according to the topographic map, and different pile foundation designs and arrangements are carried out in each area according to its characteristics. During the comparison process, some key parameters, such as the spacing, depth and diameter of the piles, can be set to evaluate whether the design arrangements of different areas meet the prediction objectives. In addition, factors such as environmental factors, construction costs and construction period requirements can also be considered.

[0072] Preferably, the comparison process can also introduce the evaluation of deviation and impact ratio. This means that for the pile foundation design layout of each area, we not only compare its deviation from the predicted target, but also evaluate the impact of this deviation on the entire project. For example, for areas with large engineering volume elasticity, such as ancillary facilities areas, adjustments can be made first to ensure that the pile foundation layout of the entire project can be controlled within the preset error range.

[0073] Furthermore, in actual operation, statistical methods or machine learning models can be used to predict and evaluate these parameters, so as to achieve more precise control and adjustment. In addition, simulation software can also be used to simulate the pile foundation design layout in different areas to verify its consistency with the predicted target and optimize it accordingly.

[0074] In some embodiments, the construction site is divided into regions according to the arrangement requirements of the steel pipe pile foundation, and the factors affecting the arrangement of the steel pipe pile foundation are identified for different regions of the construction site, including:

[0075] Determining the layout requirements of the construction site according to the topographic map;

[0076] Decomposing the civil engineering part of the construction site into a pile foundation area, a cap area, a superstructure area and ancillary facilities area according to the layout requirements of the construction site;

[0077] And identify the influencing factors of the steel pipe pile foundation layout in the pile foundation area, pedestal area, superstructure area and ancillary facilities area of ​​the construction site, the influencing factors of the steel pipe pile foundation layout include geographical location, topography, environment, wind speed, temperature, geology, pile diameter, pile length, pile spacing, pedestal size, superstructure load, and ancillary facilities requirements.

[0078] It should be noted that the construction site is divided into regions according to the requirements of pile foundation arrangement, and the factors affecting the arrangement of steel pipe pile foundation are identified for different regions of the construction site. Here, regional division means dividing the construction site into several regions according to the specific conditions of the construction site, such as topography, geology, etc., so as to arrange the pile foundation more targetedly. The influencing factors include all natural conditions and engineering parameters that may affect the arrangement of steel pipe pile foundation.

[0079] Specifically, the regional division can be determined based on natural boundaries shown on topographic maps, such as rivers, hillsides, etc., or based on different geological structures mentioned in geological reports. The factors affecting the layout of steel pipe pile foundations identified may include geographical location, topography, environment, wind speed, temperature, geology, pile diameter, pile length, pile spacing, cap size, superstructure load, ancillary facility requirements, etc. These factors can be determined through field surveys, historical data and expert experience, and specific parameter ranges need to be set, such as the size of the pile diameter, the depth of the pile length, the width of the pile spacing, etc.

[0080] Preferably, different layout strategies may be adopted for each region according to its specific influencing factors. For example, in soft soil areas, the depth and number of piles may need to be increased to ensure stability, while in hard rock areas, the number of piles may be reduced to save costs.

[0081] Furthermore, the Geographic Information System (GIS) can be used to assist in identifying and analyzing these influencing factors, and the best regional division and pile foundation layout scheme can be determined through layer overlay analysis. In actual operation, these parameters can also be adjusted and optimized in combination with field test data to ensure that the layout of steel pipe pile foundation is both scientific and economical.

[0082] In some embodiments, the arrangement of the steel pipe pile foundation is planned based on the influencing factors of the arrangement of the steel pipe pile foundation, and the arrangement reference target is obtained including:

[0083] Separately planning the steel pipe pile foundation arrangement of the pile foundation area, the cap area, the upper structure area and the ancillary facilities area of ​​the construction site to obtain the steel pipe pile foundation arrangement of different areas;

[0084] And the steel pipe pile foundation arrangements in different areas are superimposed to obtain the total steel pipe pile foundation arrangement of the construction site as the arrangement reference target.

[0085] It should be noted that the layout of steel pipe pile foundation is planned based on the factors affecting the layout of steel pipe pile foundation to obtain the layout reference target. This sentence means that we need to systematically plan the layout of steel pipe pile foundation in each area based on the various factors that affect the layout of steel pipe pile foundation identified previously, such as geographical location, terrain, etc. The layout reference target refers to the reference target or standard planned based on these factors and used to guide the actual construction.

[0086] Specifically, the planning process can include separate planning of the steel pipe pile foundation layout for the pile foundation area, the cap area, the superstructure area, and the ancillary facilities area of ​​the construction site. This means that we need to develop a specific layout plan for each area, including the type, quantity, location, and depth of the piles. The setting of specific parameters will depend on the specific conditions of the site and the engineering requirements. For example, the pile foundation area may require deeper and denser piles to support the weight of the structure; while the ancillary facilities area may need to consider the specific needs of the facility to determine the layout of the pile foundation. Conceptually, the planning of these areas should take into account structural safety, cost-effectiveness, and construction feasibility.

[0087] Preferably, after the steel pipe pile foundation layout planning of different areas is completed, it can be superimposed to obtain the total steel pipe pile foundation layout of the entire construction site as a layout reference target. The superposition process can be assisted by professional engineering software, which can process a large amount of data and provide a visual layout effect. For example, building information modeling (BIM) technology can be used to integrate the pile foundation layout of each area and detect potential conflicts or optimize space.

[0088] Furthermore, the actual effect of the layout plan for each area can be evaluated by simulating different construction situations to ensure that the final layout reference target not only meets the engineering requirements but is also practical. In some cases, the initial plan can also be adjusted based on feedback during the construction process to adapt to changes in site conditions.

[0089] In some embodiments, identifying the same type of historical construction site information based on the key influencing factors includes:

[0090] Based on the key influencing factors, all sample data are searched and K-means clustering algorithm is applied to find the objective function.

[0091]

[0092] The minimum number of clusters k and the corresponding cluster center μ i . Among them, x represents sample data, C i represents the i-th cluster, μ i represents the i-th cluster center, J represents the objective function, whose value is the sum of the squares of the distances from each sample data to its cluster center.

[0093] It should be noted that the same type of historical construction site information is identified based on key influencing factors. This sentence refers to using the identified key factors, such as geographical location, geological conditions, etc., to retrieve projects similar to the current construction site from the historical database. Here, key influencing factors refer to those factors that have a significant impact on the layout of steel pipe pile foundations, and their identification can help us find similar historical cases. Historical construction site information refers to data records of past projects, which can be used to assist in the planning and decision-making of current projects.

[0094] Specifically, the identification process can be carried out by comparing the construction site data stored in the historical database with the key influencing factors of the current project. For example, if the geological conditions of the current project are the main key influencing factors, parameters can be set to filter out historical projects with similar geological conditions. This may involve a detailed analysis of geological reports and matching geological parameters recorded in historical projects. In addition, it may also include analysis of parameters such as pile diameter and pile length used in historical projects to find the case that is most similar to the current project.

[0095] Preferably, the identification process based on key influencing factors can be automated using data mining and machine learning techniques. For example, a K-means clustering algorithm can be applied to classify historical data to find the historical construction sites that best match the current project conditions.

[0096] Furthermore, in the implementation, the algorithm parameters, such as the number of clusters and the distance metric, can be set to optimize the clustering results. In addition, other clustering algorithms, such as hierarchical clustering or DBSCAN, can also be considered to improve the clustering effect and accuracy. In actual operation, the rationality of the clustering results can also be verified by combining expert experience and statistical analysis, and the algorithm parameters can be adjusted accordingly.

[0097] In some embodiments, finally determining the categories of sample data and the centers of each category according to the K-means clustering algorithm further includes:

[0098] Given the number of cluster categories k, initialize the cluster center μ i , assign the sample data to the category to which the nearest cluster center belongs, recalculate the cluster center, and repeat the above steps until the cluster center no longer changes.

[0099] It should be noted that the categories of sample data and the centers of each category are finally determined according to the K-means clustering algorithm. This sentence refers to using the K-means clustering algorithm to classify sample data and determine the center point of each category, that is, the cluster center. Here, the K-means clustering algorithm is an algorithm that divides data points into K clusters so that the points within the clusters are as similar as possible and the points between clusters are as different as possible. Sample data refers to data collected from historical construction site information, which is used to train and apply clustering algorithms.

[0100] Specifically, when implementing the K-means clustering algorithm, you first need to give the number of cluster categories K. This parameter can be set according to the specific situation of the problem and the characteristics of the data. To initialize the cluster center, you can randomly select K sample points as the initial cluster center, or use more advanced initialization methods, such as k-means++, to improve the quality and stability of clustering. Next, assign each sample data to the category to which the nearest cluster center belongs, and recalculate the cluster center of each category. This process will be repeated until the cluster center no longer changes or the preset number of iterations is reached.

[0101] Preferably, some optimization measures can be added during the execution of the clustering algorithm to improve efficiency and effect. For example, a threshold can be set to determine whether the change in the cluster center is small enough to decide whether to stop the iteration. In addition, in order to avoid local optimal solutions, a method of multiple initializations and selecting the best result can be used.

[0102] More specifically, the elbow rule can be used to determine the optimal number of cluster categories K, that is, to select a suitable K value by observing how the sum of squared errors (SSE) within clusters changes with the increase of K. In actual operations, the parameters and processes of the clustering algorithm can also be adjusted in combination with business knowledge and the opinions of domain experts to obtain clustering results that better meet actual needs.

[0103] In some embodiments, obtaining a historical reference arrangement of steel pipe pile foundations of the same type of historical construction sites through data analysis includes:

[0104] Calculate the median, upper quartile, lower quartile, maximum value, minimum value, sample mean and sample variance of the sample data;

[0105] Outliers are removed by using a box plot to perform an outlier analysis on the sample data, wherein the outlier is no less than the lower quartile QL minus 1.5 times the interquartile range QIQR, and greater than the upper quartile QU plus 1.5 times the interquartile range QIQR;

[0106] According to the 3σ principle, at least 99.7% of the statistics fall within the interval middle;

[0107]

[0108] Wherein, μ is the average value of the sample data, is the standard deviation of the sample data; the reasonable interval of the steel pipe pile foundation arrangement is finally obtained as

[0109] μ-k1σ≤x≤μ+k1σ

[0110] The historical reference layout of steel pipe pile foundations for the same type of historical construction sites is calculated by the following formula

[0111] CKLP:CKLP=μ

[0112] Among them, μ represents the mean value of the sample data, k1 is the coefficient, and σ is the standard deviation of the sample data.

[0113] It should be noted that the historical reference layout of steel pipe pile foundations of the same type of historical construction sites is obtained through data analysis. This sentence means using statistical and data analysis techniques to process historical data to extract steel pipe pile foundation layout information that is of reference value to the current project. Here, data analysis refers to the process of processing and interpreting data using mathematics and computer technology, while the historical reference layout refers to the layout plan obtained from historical data and can be used as a reference.

[0114] Specifically, the data analysis process includes calculating statistics such as the median, upper quartile, lower quartile, maximum value, minimum value, sample mean, and sample variance of the sample data. These statistics can help us understand the distribution and changing trends of the data. For example, the median is the value that divides the data set into two equal parts, and the upper quartile and lower quartile represent the value ranges in which 75% and 25% of the data points in the data set are located, respectively. The sample mean is the average of all data points, while the sample variance measures the degree of dispersion of the data points relative to the mean. In addition, box plots can be used to identify and eliminate outliers to ensure the accuracy of the analysis results.

[0115] Preferably, the data analysis process may also include further processing and verification of the data. For example, the 3σ principle may be used to determine the reasonable interval of the data, which states that in the case of a normal distribution, about 99.7% of the data should fall within three standard deviations of the mean. Specifically, it can be calculated that the reasonable interval of the steel pipe pile foundation arrangement is the mean ± 3 times the standard deviation.

[0116] Furthermore, the historical reference layout can be obtained by calculating the mean and standard deviation of the sample data and then applying the following formula:

[0117] P=μ+ασ

[0118] Among them, μ represents the mean value of the sample data, σ represents the standard deviation of the sample data, and α is a coefficient, which can be determined according to the specific requirements and risk preferences of the project. In actual operation, the value of coefficient α can also be adjusted in combination with expert experience and the success rate of historical cases to obtain a more accurate historical reference layout.

[0119] In some embodiments, determining the predicted target of steel pipe pile foundation arrangement according to the arrangement reference target and the historical reference arrangement of the steel pipe pile foundation includes:

[0120] The steel pipe pile foundation layout prediction target is determined by the following formula:

[0121] PG=(μ+CKYC) / 2

[0122] Among them, PG is the predicted target of the site to be constructed, CKYC is the layout reference target constructed in combination with influencing factors, and μ represents the average value of sample data.

[0123] It should be noted that the layout prediction target of the steel pipe pile foundation is determined based on the layout reference target and the historical reference layout of the steel pipe pile foundation. This sentence means that the layout target of the steel pipe pile foundation of the current project is predicted by combining the planning target of the current project (layout reference target) and the data of similar projects in history (historical reference layout of steel pipe pile foundation). Here, the layout prediction target refers to the expected result of the steel pipe pile foundation layout predicted based on historical data and current project conditions.

[0124] Specifically, the layout prediction target can be determined by calculating the average of the layout reference target and the historical reference layout, and then taking the midpoint of the two averages as the prediction target. In this process, the layout reference target is based on the current project conditions, while the historical reference layout is based on historical data analysis. For example, if the layout reference target is 100 piles and the historical reference layout is 120 piles, then the prediction target can be the average of these two values, that is, 110 piles. This calculation process can provide a data-based prediction value for the layout of steel pipe pile foundations.

[0125] Preferably, the process of determining the predicted target of the steel pipe pile foundation arrangement may also include the calculation of a weighted average. This means that different weights may be given to the arrangement reference target and the historical reference arrangement according to the specific conditions of the project. For example, if the geological conditions of the current project are significantly different from those of the historical project, a higher weight may be given to the arrangement reference target.

[0126] More specifically, the following formula can be used to determine the prediction target of steel pipe pile foundation layout:

[0127]

[0128] Among them, PG is the predicted target of the construction site, CKYC is the layout reference target constructed by combining influencing factors, It represents the average value of sample data, and β is the weighting coefficient, which is used to adjust the influence of historical reference layout.

[0129] Furthermore, in actual operation, the value of β can be adjusted according to the risk assessment and cost budget of the project to obtain a prediction target that better meets actual needs. In addition, more statistical methods, such as Monte Carlo simulation, can be introduced to consider uncertainty and variability, thereby obtaining a prediction interval rather than a single prediction value.

[0130] In some embodiments, planning the arrangement of the steel pipe pile foundation based on the influencing factors of the arrangement of the steel pipe pile foundation to obtain an arrangement reference target includes:

[0131] Based on the influencing factors of the steel pipe pile foundation layout, a neural network-based model is used to plan the steel pipe pile foundation layout to obtain a layout reference target, wherein the neural network model processes input data through neuron connections and activation functions, and the output is the processed result.

[0132] It should be noted that the layout of the steel pipe pile foundation is planned based on the influencing factors of the steel pipe pile foundation layout to obtain the layout reference target, which includes using a neural network-based model to plan the steel pipe pile foundation layout. Here, the neural network-based model refers to a computational model that imitates the way human brain neurons connect and process information. It predicts or determines the layout reference target by learning the relationship between input data and expected output. This model can handle complex nonlinear relationships and is suitable for the optimization problem of steel pipe pile foundation layout.

[0133] Specifically, the construction of the neural network model includes determining the network structure, such as the number of layers, the number of neurons in each layer, and the selection of activation functions. The input data are the factors affecting the layout of steel pipe pile foundations, and the output is the reference target of the planned layout.

[0134] More specifically, when training a neural network, you need to set some parameters, such as learning rate, batch size, number of iterations, etc. These parameters affect the learning efficiency and final performance of the model. In addition, you also need to choose a suitable loss function to evaluate the difference between the model's prediction and the actual placement target, and adjust the model's weights and biases based on this loss function.

[0135] Preferably, the training of the neural network model can adopt a variety of optimization algorithms, such as gradient descent, Adam optimizer, etc., to accelerate the convergence of the model and improve its accuracy. More specifically, regularization techniques, such as L1 or L2 regularization, can be used to prevent the model from overfitting and ensure that the model has good generalization ability on new construction site data.

[0136] Furthermore, in actual operations, you can also consider using transfer learning, that is, using a model pre-trained on a similar task as a starting point and further fine-tuning it on the current specific task, which can reduce the demand for training data and speed up the training process.

[0137] Furthermore, different types of neural network architectures, such as convolutional neural networks (CNNs) or recurrent neural networks (RNNs), can be explored to select the most appropriate model structure according to the specific characteristics of the steel pipe pile foundation arrangement and data properties.

[0138] The above-mentioned embodiments of the present invention have the following beneficial effects: the automatic arrangement method of steel pipe pile foundations described in the present invention can significantly improve construction efficiency and accuracy. By comprehensively analyzing the topographic map, geological report, site dimensions and other data of the construction site, the method can identify the key factors affecting the arrangement of steel pipe pile foundations, and carry out scientific regional division and planning based on this, so as to obtain a more reasonable arrangement reference target. The application of this method can not only reduce the dependence on the personal experience and professional knowledge of engineers, reduce the errors and deviations caused by human factors, but also improve the design efficiency, shorten the project cycle, reduce the project cost, and improve the safety and reliability of pile foundation projects.

[0139] In addition, the automatic layout method can also analyze historical construction data, extract key influencing factors, and use these factors to predict and plan new construction sites. This method can optimize construction plans, reduce resource waste, and improve the adaptability and flexibility of projects. Through this method, it is possible to predict the design and layout of steel pipe pile foundations for different types of construction sites, further improve the level of intelligence and automation of the project, and bring revolutionary progress to the field of construction.

[0140] like Figure 2 As shown, some embodiments of an automatic arrangement device 200 for steel pipe pile foundations include:

[0141] The data acquisition module 201 is used to collect construction site data to form a site information database, wherein the construction site data includes a topographic map, a geological report and corresponding site dimension data;

[0142] An influencing factor identification module 202 is used to divide the construction site into regions according to the office layout requirements of the steel pipe pile foundation, and identify the influencing factors of the steel pipe pile foundation layout for different regions of the construction site;

[0143] A target planning module 203 plans the arrangement of the steel pipe pile foundation based on the influencing factors of the arrangement of the steel pipe pile foundation to obtain an arrangement reference target;

[0144] A historical arrangement acquisition module 204 is used to set key influencing factors of the same type of construction site based on the influencing factors of the steel pipe pile foundation arrangement, identify the same type of historical construction site information based on the key influencing factors, and then obtain the historical reference arrangement of the steel pipe pile foundation of the same type of historical construction site through data analysis;

[0145] And a prediction target acquisition module 205 is used to determine the steel pipe pile foundation arrangement prediction target according to the arrangement reference target and the steel pipe pile foundation historical reference arrangement.

[0146] It is understandable that the modules described in the automatic arrangement device for steel pipe pile foundation 200 are similar to those described in the reference Figure 1 Therefore, the operations, features and beneficial effects described above for the automatic arrangement method of steel pipe pile foundations are also applicable to the automatic arrangement device 200 for steel pipe pile foundations and the modules contained therein, and will not be described in detail here.

[0147] Reference below Figure 3 , which shows a schematic diagram of a structure 300 of an electronic device suitable for implementing some embodiments of the present invention. The electronic devices in some embodiments of the present invention may include, but are not limited to, mobile terminals such as mobile phones, notebook computers, digital broadcast receivers, PDAs (personal digital assistants), PADs (tablet computers), PMPs (portable multimedia players), vehicle-mounted terminals (such as vehicle-mounted navigation terminals), etc., and fixed terminals such as digital TVs, desktop computers, etc. Figure 3 The terminal device shown is only an example and should not bring any limitation to the functions and scope of use of the embodiments of the present invention.

[0148] like Figure 3 As shown, the electronic device 300 may include a processing device (e.g., a central processing unit, a graphics processing unit, etc.) 301, which can perform various appropriate actions and processes according to a program stored in a read-only memory (ROM) 302 or a program loaded from a storage device 308 into a random access memory (RAM) 303. In the RAM 303, various programs and data required for the operation of the electronic device 300 are also stored. The processing device 301, the ROM 302, and the RAM 303 are connected to each other via a bus 304. An input / output (I / O) interface 305 is also connected to the bus 304.

[0149] Typically, the following devices may be connected to the I / O interface 305: input devices 306 including, for example, a touch screen, a touch pad, a keyboard, a mouse, a camera, a microphone, an accelerometer, a gyroscope, etc.; output devices 307 including, for example, a liquid crystal display (LCD), a speaker, a vibrator, etc.; storage devices 308 including, for example, a magnetic tape, a hard disk, etc.; and communication devices 309. The communication devices 309 may allow the electronic device 300 to communicate with other devices wirelessly or by wire to exchange data. Although Figure 3 The electronic device 300 is shown with various devices, but it should be understood that it is not required to implement or possess all the devices shown. More or fewer devices may be implemented or possessed instead. Figure 3 Each block shown in the figure may represent one device, or may represent multiple devices as required.

[0150] Furthermore, the storage medium of the embodiment of the present application stores program instructions that can implement all the above methods, wherein the program instructions can be stored in the above storage medium in the form of a software product, including several instructions for enabling a computer device (which can be a personal computer, server, or network device, etc.) or a processor to execute all or part of the steps of the methods described in each embodiment of the present application. The aforementioned storage medium includes: various media that can store program codes, such as a USB flash drive, a mobile hard disk, a read-only memory (ROM), a random access memory (RAM), a magnetic disk or an optical disk, or terminal devices such as a computer, a server, a mobile phone, and a tablet.

[0151] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention, rather than to limit them. Under the concept of the present invention, the technical features in the above embodiments or different embodiments can also be combined, the steps can be implemented in any order, and there are many other changes in different aspects of the present invention as above, which are not provided in detail for the sake of simplicity. Although the present invention is described in detail with reference to the aforementioned embodiments, those skilled in the art should understand that they can still modify the technical solutions recorded in the aforementioned embodiments, or make equivalent replacements for some of the technical features therein. However, these modifications or replacements do not make the essence of the corresponding technical solutions deviate from the scope of the technical solutions of the embodiments of the present invention.

Claims

1. A method for automatically arranging a steel pipe pile foundation, characterized in that: include: Collecting construction site data to form a site information database, wherein the construction site data includes a topographic map, a geological report, and corresponding site dimension data; According to the arrangement requirements of the steel pipe pile foundation, the construction site is divided into regions, and at the same time, the influencing factors of the arrangement of the steel pipe pile foundation are identified for different regions of the construction site; Planning the arrangement of the steel pipe pile foundation based on the influencing factors of the steel pipe pile foundation arrangement to obtain an arrangement reference target; Based on the influencing factors of the steel pipe pile foundation arrangement, key influencing factors of the same type of site are set, and based on the key influencing factors, historical construction site information of the same type is identified, and then a historical reference arrangement of steel pipe pile foundations of the same type of historical construction sites is obtained through data analysis; And according to the arrangement reference target and the historical reference arrangement of the steel pipe pile foundation, a steel pipe pile foundation arrangement prediction target is determined.

2. The automatic arrangement method of steel pipe pile foundation according to claim 1, characterized in that: After determining the prediction target of steel pipe pile foundation arrangement, it further includes: Combined with regional decomposition, the steel pipe pile foundation design layout of different regions is compared with the predicted target of the steel pipe pile foundation layout, the deviation and impact ratio are determined, and the regions with greater engineering volume elasticity are adjusted first to control the deviation within a preset error range; And the steel pipe pile foundation automatic layout method is used to predict the design layout of steel pipe pile foundations in different types of construction sites.

3. The automatic arrangement method of steel pipe pile foundation according to claim 1, characterized in that: According to the arrangement requirements of the steel pipe pile foundation, the construction site is divided into regions, and the factors affecting the arrangement of the steel pipe pile foundation are identified for different regions of the construction site, including: Determining the layout requirements of the construction site according to the topographic map; Decomposing the civil engineering part of the construction site into a pile foundation area, a cap area, a superstructure area and ancillary facilities area according to the layout requirements of the construction site; And identify the influencing factors of the steel pipe pile foundation layout in the pile foundation area, pedestal area, superstructure area and ancillary facilities area of ​​the construction site, the influencing factors of the steel pipe pile foundation layout include geographical location, topography, environment, wind speed, temperature, geology, pile diameter, pile length, pile spacing, pedestal size, superstructure load, and ancillary facilities requirements.

4. The automatic arrangement method of steel pipe pile foundation according to claim 3, characterized in that: The layout of steel pipe pile foundation is planned based on the influencing factors of steel pipe pile foundation layout, and the layout reference targets include: Separately planning the steel pipe pile foundation arrangement of the pile foundation area, the cap area, the upper structure area and the ancillary facilities area of ​​the construction site to obtain the steel pipe pile foundation arrangement of different areas; And the steel pipe pile foundation arrangements in different areas are superimposed to obtain the total steel pipe pile foundation arrangement of the construction site as the arrangement reference target.

5. The automatic arrangement method of steel pipe pile foundation according to claim 3, characterized in that: Identifying the same type of historical construction site information based on the key influencing factors includes: Based on the key influencing factors, all sample data are searched and the K-means clustering algorithm is applied to find the number of clusters k and the corresponding cluster center μ that minimizes the objective function. i ; Among them, x represents sample data, C i represents the i-th cluster, μ i represents the i-th cluster center, J represents the objective function, whose value is the sum of the squares of the distances from each sample data to its cluster center.

6. The method for automatic arrangement of steel pipe pile foundation according to claim 5, characterized in that: The categories of sample data and the centers of each category are finally determined according to the K-means clustering algorithm, which further includes: Given the number of cluster categories k, initialize the cluster center μ i , assign the sample data to the category to which the nearest cluster center belongs, recalculate the cluster center, and repeat the above steps until the cluster center no longer changes.

7. The automatic arrangement method of steel pipe pile foundation according to claim 1, characterized in that: The historical reference layout of steel pipe pile foundations of the same type of historical construction sites obtained through data analysis includes: Calculate the median, upper quartile, lower quartile, maximum value, minimum value, sample mean and sample variance of the sample data; Outliers are removed by using a box plot to perform an outlier analysis on the sample data, wherein the outlier is no less than the lower quartile QL minus 1.5 times the interquartile range QIQR, and greater than the upper quartile QU plus 1.5 times the interquartile range QIQR; According to the 3σ principle, at least 99.7% of the statistics fall within the interval middle; Wherein, μ is the average value of the sample data, is the standard deviation of the sample data; the reasonable interval of the steel pipe pile foundation arrangement is finally obtained as: μ-k1σ≤x≤μ+k1σ The historical reference layout of steel pipe pile foundations for the same type of historical construction sites is calculated using the following formula: CKLP:CKLP=μ Among them, μ represents the mean value of the sample data, k1 is the coefficient, and σ is the standard deviation of the sample data.

8. The method for automatically arranging steel pipe pile foundations according to claim 7, characterized in that: Determining the predicted target of steel pipe pile foundation arrangement according to the arrangement reference target and the historical reference arrangement of the steel pipe pile foundation includes: The steel pipe pile foundation layout prediction target is determined by the following formula: PG=(μ+CKYC) / 2 Among them, PG is the predicted target of the site to be constructed, CKYC is the layout reference target constructed in combination with influencing factors, and μ represents the average value of sample data.

9. The automatic arrangement method of steel pipe pile foundation according to claim 1, characterized in that: The method of planning the arrangement of the steel pipe pile foundation based on the influencing factors of the steel pipe pile foundation arrangement to obtain an arrangement reference target includes: planning the arrangement of the steel pipe pile foundation based on the influencing factors of the steel pipe pile foundation arrangement using a neural network-based model to obtain an arrangement reference target, wherein the neural network model processes input data through the connection and activation function of neurons, and the output is the processed result.

10. An automatic arrangement device for steel pipe pile foundation, characterized in that: include: A data acquisition module, used for collecting construction site data to form a site information database, wherein the construction site data includes a topographic map, a geological report and corresponding site dimension data; An influencing factor identification module is used to divide the construction site into regions according to the office layout requirements of the steel pipe pile foundation, and identify the influencing factors of the steel pipe pile foundation layout for different regions of the construction site; A target planning module is used to plan the arrangement of the steel pipe pile foundation based on the influencing factors of the arrangement of the steel pipe pile foundation to obtain an arrangement reference target; A historical layout acquisition module is used to set key influencing factors of the same type of construction site based on the influencing factors of the steel pipe pile foundation layout, identify the same type of historical construction site information based on the key influencing factors, and then obtain the historical reference layout of the steel pipe pile foundation of the same type of historical construction site through data analysis; And a prediction target acquisition module is used to determine the steel pipe pile foundation layout prediction target according to the layout reference target and the steel pipe pile foundation historical reference layout.

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