Design optimization method for spiral anchor foundation structure of line tower

Abstract

The invention discloses a line tower screw anchor foundation structure design optimization method, and relates to the technical field of structure design optimization, and the method comprises the following steps: determining the depth of construction soil according to the scale of a line tower, and collecting screw anchor influence data of different depths of the construction soil, the screw anchor influence data comprises screw anchor corrosion influence data and soil acting force influence data; constructing a screw anchor influence model based on machine learning according to the screw anchor influence data, and generating a screw anchor structure influence coefficient; obtaining screw anchor structure influence coefficients of different depth areas, judging substandard depth areas on the basis of preset screw anchor stress coefficients, and performing structure optimization on the screw anchors in the depth areas; whether the optimization effect reaches the standard or not is judged based on the screw anchor stress coefficient by obtaining the optimized screw anchor structure influence coefficient. Through structural optimization design, the problem that the spiral anchor is unstable due to soil properties and geological environments of different regions is solved.

Description

Technical Field

[0001] The invention relates to the technical field of spiral anchor foundation structure design, and more specifically to the technical field of a line pole tower spiral anchor foundation structure design optimization method. Background Art

[0002] With the continuous increase in electricity demand, the construction and maintenance of power lines have become an important part of ensuring power supply. As a key component of the power transmission system, the stability and reliability of the basic structure of the line tower directly affect the safe operation of the power line. Among them, the spiral anchor foundation has gradually become an emerging choice for the foundation of power line towers due to its unique design and excellent performance.

[0003] The design inspiration of the spiral anchor foundation comes from the improvement of the traditional foundation design. Traditional foundations often rely on a combination of concrete and steel bars. Although this structure performs well in terms of bearing capacity, it has many shortcomings in terms of construction period, material cost and construction difficulty. From a technical point of view, the advantages of the spiral anchor foundation are mainly reflected in several aspects. First of all, its installation method is simple. Through special spiral anchor machines, the spiral anchor can be quickly buried in the soil, avoiding large-scale excavation and concrete pouring, and reducing the impact on the surrounding environment. However, although the spiral anchor foundation has many advantages, its design optimization is still a complex process. The soil properties, climatic conditions and geological environment in different regions will affect the performance of the spiral anchor, resulting in problems with the stability of the spiral anchor. In response to the above problems, the present invention proposes a solution. Summary of the invention

[0004] In order to overcome the above-mentioned defects of the prior art, an embodiment of the present invention provides a method for optimizing the design of a spiral anchor foundation structure of a line tower, which solves the problem of spiral anchor instability caused by soil properties and geological environments in different regions through structural optimization design.

[0005] To achieve the above object, the present invention provides the following technical solutions: A method for optimizing the design of a spiral anchor foundation structure of a line tower comprises the following steps: determining the depth of construction soil according to the scale of the line tower, collecting spiral anchor influence data at different depths of construction soil, wherein the spiral anchor influence data comprises spiral anchor corrosion influence data and soil force influence data; constructing a spiral anchor influence model based on machine learning according to the spiral anchor influence data, and generating a spiral anchor structure influence coefficient; obtaining the spiral anchor structure influence coefficients of different depth areas and judging the depth areas that do not meet the standards based on a preset spiral anchor stress coefficient, and optimizing the structure of the spiral anchors in the depth areas; judging whether the optimization effect meets the standards based on the spiral anchor stress coefficient by obtaining the optimized spiral anchor structure influence coefficient.

[0006] In a preferred embodiment, the spiral anchor corrosion influence data is specifically obtained by the following method: soil types at different depths of soil to be constructed are collected, and first data of the soil type is obtained, wherein the first data includes corrosion rate, humidity, temperature and electrical conductivity; the corrosion resistance of the spiral anchor surface material and anchor thickness parameters are obtained by metallographic analysis; the spiral anchor corrosion influence data is obtained by calculating the first data of the soil type in combination with the corrosion resistance of the spiral anchor surface material and the anchor thickness parameters based on a preset spiral anchor corrosion influence formula.

[0007] In a preferred embodiment, the soil force influence data is specifically obtained by the following method: the soil bearing capacity is obtained by analyzing the soil density, water content and contact area between the spiral anchor plate and the soil at different depths; the load force of the spiral rod under the soil is calculated according to the inclination angle of the spiral anchor inserted into the soil and the length of the anchor rod combined with the soil bearing capacity; the friction force generated between the surrounding soil and the anchor rod is calculated according to the friction coefficient of the soil and the surface roughness of the anchor rod; the soil compressibility data and plasticity characteristic data are obtained, combined with the load force and friction force of the spiral rod under the soil, and the soil force influence data is calculated based on a preset soil force influence formula.

[0008] In a preferred embodiment, the spiral anchor structure influence model is constructed based on machine learning according to the spiral anchor influence data, and the spiral anchor structure influence coefficient is generated. The specific steps are as follows: collect historical spiral anchor corrosion data, soil force influence data, and spiral anchor size, material and installation depth data, and process outliers in the data; based on the machine learning algorithm, divide the processed data into a training set, and use the training set data to train the machine learning model to learn the relationship between the spiral anchor corrosion data and the soil force influence data and the spiral anchor structure influence coefficient, and generate the spiral anchor structure influence model; optimize the performance of the model through a cross-validation method, input the new spiral anchor corrosion data and soil force influence data into the trained spiral anchor structure influence model, so as to generate the spiral anchor structure influence coefficient.

[0009] In a preferred embodiment, the helical anchor stress coefficient is obtained in the following specific method: Analyze the historical weather under the construction environment to obtain the ultimate uplift load caused by wind on the spiral anchor in windy weather; obtain the ultimate horizontal force on the spiral anchor caused by debris flow, flood and tension of the conductor line; calculate the spiral anchor force coefficient based on the preset spiral anchor force formula according to the ultimate uplift load combined with the ultimate horizontal force of the spiral anchor.

[0010] In a preferred embodiment, the depth area that does not meet the standard is judged, and the structure of the spiral anchor in the depth area is optimized. The specific steps are as follows: obtain the spiral anchor structure influence coefficient set of the spiral anchor at all soil depths, and compare all data sets with the spiral anchor force coefficient; if the spiral anchor structure influence coefficient set is greater than or equal to the spiral anchor force coefficient, the foundation structure can adapt to the stability of the line tower under extreme conditions; if the spiral anchor structure influence coefficient set is less than the spiral anchor force coefficient, the spiral anchor structure at this time cannot support the stability of the line tower under extreme conditions and needs to be optimized. The specific steps are as follows: calculate the average of the spiral anchor structure influence coefficient set of all depths obtained, compare the spiral anchor structure influence coefficient with the average in turn according to the order of gradually downward depth gradient, prioritize the spiral anchor structure influence coefficient with a smaller depth level, mark the depth as a priority design, and increase the anchor plate diameter and increase the corrosion resistance of the surface material of the anchor rod segment of the priority design corresponding depth on the spiral anchor to enhance the spiral anchor structure influence coefficient.

[0011] In a preferred embodiment, the optimized spiral anchor structure influence coefficient is obtained and the optimization effect is judged based on the spiral anchor force coefficient. The specific steps are as follows: the spiral anchor corrosion influence data and soil force influence data of the optimized spiral anchor are obtained by the same method, data analysis is performed, and the spiral anchor structure influence coefficient is generated based on the spiral anchor structure influence model; the judgment is made by obtaining all optimized spiral anchor structure influence coefficients and spiral anchor force coefficients; if the optimized spiral anchor structure influence coefficient is greater than the spiral anchor force coefficient, the structural optimization is reasonable; if the optimized spiral anchor structure influence coefficient is less than the spiral anchor force coefficient, the optimization scheme of the foundation design is unreasonable.

[0012] One or more technical solutions provided in the embodiments of the present application have at least the following technical effects or advantages: 1. Through data-driven methods, the design and construction of spiral anchor foundation structures are optimized, which improves safety, extends service life, reduces costs, and improves construction efficiency.

[0013] 2. Through systematic analysis of the relationship between the structural influence coefficient and the stress coefficient of the spiral anchor at different depths, the design of the spiral anchor can be accurately judged and optimized to ensure the stability of the line tower in extreme environments, thereby improving the safety and reliability of the project. BRIEF DESCRIPTION OF THE DRAWINGS

[0014] Figure 1 A schematic diagram of the structure of a line tower spiral anchor foundation structure design optimization method provided in an embodiment of the present application. DETAILED DESCRIPTION

[0015] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0016] Embodiment 1, Figure 1 A schematic diagram of a structural optimization method for a line tower spiral anchor foundation structure provided in an embodiment of the present application includes the following steps: S1, determining the depth of the construction soil according to the scale of the line tower, collecting the spiral anchor influence data of different depths of the construction soil, wherein the spiral anchor influence data includes spiral anchor corrosion influence data and soil action force influence data.

[0017] In this example, the scale of the line tower refers to the voltage level during the construction process, which generally covers 66kV to 500kV. Different tower types are selected according to the voltage level required for construction. The tower types include linear and tension. The required spiral anchor foundation structure will be different. Different tower types require different strength requirements for the solid on the ground, and the length of the spiral anchor used has requirements. The corresponding soil depth must be defined according to the length of the spiral anchor.

[0018] During the construction of line towers, the use of helical anchors is an important step to ensure the stability and safety of the towers. Helical anchors are buried in the soil to fix and support the tower structure. However, soil corrosion has a significant impact on the durability and effectiveness of helical anchors. Helical anchor corrosion data refers to the geological influence of the soil, which causes the part of the helical anchor inserted into the ground to suffer corrosion, thereby affecting the stability of the helical anchor foundation structure.

[0019] Analyzing the helical anchor corrosion data has the following advantages for optimizing the helical anchor foundation structure: Improve safety: Helical anchors are an important part of supporting towers and other structures. The degree of corrosion directly affects the stability and safety of the structure. By regularly analyzing corrosion data, potential risks and problems can be identified in a timely manner, and effective preventive measures can be taken to ensure the safety of the foundation structure during use. This data-driven approach can significantly reduce the probability of accidents and protect personal and property safety.

[0020] Extended service life: Corrosion is one of the main factors affecting the service life of spiral anchors. By systematically analyzing the corrosiveness of the soil and its impact on the spiral anchor, engineers can select suitable anti-corrosion materials and design solutions for different soil conditions. For example, in highly corrosive soils, more corrosion-resistant alloy materials or protective coatings can be selected, which effectively extends the service life of the spiral anchor and reduces maintenance and replacement costs.

[0021] Optimized design: The analysis of corrosion data provides a scientific basis for the design of spiral anchors. In the early stages of design, engineers can select the appropriate spiral anchor size, shape, and burial depth based on corrosion data to maximize its performance under specific soil conditions. This data-based design optimization can improve the bearing capacity and pull-out resistance of spiral anchors, making the foundation structure more reliable.

[0022] Reduce costs: Through in-depth analysis of corrosion data, engineers can develop reasonable anti-corrosion strategies during the design and construction stages to avoid frequent repairs and replacements caused by corrosion, saving later maintenance costs. In addition, by selecting appropriate materials and construction methods, initial investment and long-term operating costs can be reduced, thereby maximizing economic benefits.

[0023] Improved construction process: Corrosion data analysis helps optimize the construction process. For example, construction technology and processes can be adjusted in advance according to soil type and corrosivity to ensure that the spiral anchor is installed under optimal conditions. This not only improves construction efficiency, but also reduces the risk of corrosion caused by improper construction.

[0024] In summary, by analyzing the corrosion data of spiral anchors, effective support can be provided for the optimization of infrastructure. This data-driven approach has shown significant advantages in improving safety, extending service life, optimizing design solutions, reducing costs, and improving construction processes. In the future, with the development of technology, real-time monitoring and analysis of corrosion data will open up new directions for the intelligent management of infrastructure.

[0025] The specific method for obtaining the spiral anchor corrosion impact data is as follows: Collecting soil types at different depths of soil to be constructed and obtaining first data of the soil types, wherein the first data includes corrosion rate, humidity, temperature and electrical conductivity; The corrosion resistance of the spiral anchor surface material and the anchor thickness parameters are obtained through metallographic analysis; The spiral anchor corrosion influence data is obtained by calculating based on a preset spiral anchor corrosion influence formula according to the first data of the soil type combined with the corrosion resistance of the spiral anchor surface material and the anchor rod thickness parameter.

[0026] The specific calculation formula for the spiral anchor corrosion impact data is as follows:

[0027] In the formula, For the data of the corrosion effect on the helical anchor, is the corrosion rate of the i-th type of soil, is the soil temperature of type i, is the moisture content of the i-th type of soil, is the electrical conductivity, t is the working life of the spiral anchor, n is the corrosion resistance of the surface material of the spiral anchor, and q is the anchor rod thickness parameter.

[0028] It should be noted that there are different types of soil at different soil depths. The environment of each soil is different, and the structural corrosion of the spiral anchor is also different. When the corrosiveness of the soil environment becomes stronger and stronger, the impact data of spiral anchor corrosion will become larger and larger.

[0029] Soil force influence data refers to the various forces that the spiral anchor is subjected to after being placed in the soil, ensuring that the tower pole will not tilt or collapse under external loads. Analyzing soil force influence data has the following advantages for optimizing the spiral anchor foundation structure: Optimizing the helical anchor foundation structure by analyzing the soil force influence data has important advantages in engineering design and construction. This analysis not only improves the safety and stability of the foundation, but also brings significant advantages in cost and efficiency.

[0030] First, a deeper understanding of soil forces helps to more accurately assess bearing capacity. Factors such as soil type, compactness, and moisture content directly affect bearing capacity. By systematically analyzing these factors, engineers can select appropriate design parameters to better adapt the helical anchor to soil conditions. This precise design reduces the risk of structural failure due to insufficient soil bearing capacity.

[0031] Secondly, the analysis of friction is crucial to optimize the design of helical anchors. Helical anchors provide additional pullout resistance by creating friction when screwed into the soil. Understanding the friction characteristics of the soil can help engineers select the appropriate anchor material and surface treatment to maximize friction. This not only improves the bearing capacity of the foundation, but also reduces the number and length of anchors, saving material costs.

[0032] In addition, the study of lateral pressure provides an important basis for the design of helical anchors. When the tower pole is subjected to wind loads and other lateral forces, the lateral pressure of the soil will affect the stability of the anchor. By analyzing the lateral pressure exerted by the soil on the helical anchor, engineers can optimize the layout and design of the anchor and improve its performance under extreme conditions. This early analysis can effectively reduce potential safety hazards that may arise later.

[0033] Furthermore, the analysis of soil settlement and displacement is essential to ensure long-term structural stability. By conducting a detailed analysis of the settlement characteristics of different soil types, the deformation of the tower pole can be predicted and measures can be taken to control it. This early risk assessment and analysis provides a scientific basis for subsequent monitoring and maintenance, thereby extending the service life of the foundation structure.

[0034] Finally, comprehensive consideration of the impact of pore water pressure on soil bearing capacity is also an important aspect of optimal design. Especially in saturated soil environments, pore water pressure may significantly reduce effective stress. By analyzing these factors, engineers can take appropriate precautions during the design stage to ensure the safety of the foundation.

[0035] In short, by analyzing the soil force impact data, optimizing the spiral anchor foundation structure not only improves safety and stability, but also brings multiple advantages in cost, construction efficiency and long-term maintenance. This scientific analysis method provides strong support for the design and implementation of modern foundation engineering.

[0036] The soil force influence data is specifically obtained in the following manner: The bearing capacity of the soil is obtained by analyzing the soil density, water content and contact area between the spiral anchor plate and the soil at different depths; The load force of the spiral anchor under the soil is calculated based on the inclination angle of the spiral anchor inserted into the soil and the length of the anchor rod combined with the bearing capacity of the soil; The friction force between the surrounding soil and the anchor is calculated based on the friction coefficient of the soil and the surface roughness of the anchor. The soil compressibility data and plasticity characteristic data are obtained, combined with the load force and friction force of the spiral rod under the soil, and the soil force influence data is calculated based on the preset soil force influence formula.

[0037] The specific calculation formula of the bearing capacity of the soil is as follows:

[0038] The specific calculation formula of the load force of the spiral rod under the soil is as follows:

[0039] The soil force influences the data, and the specific calculation formula is as follows:

[0040] In the formula, is the soil force impact data, is the load force of the screw rod under the soil, is the friction between the surrounding soil and the anchor rod, is the soil compressibility data, is the plastic characteristic data, q is the number of screw anchors, is the bearing capacity of the soil at the i-th depth, is the soil compaction degree at the i-th depth, is the soil area at the i-th depth, is the water content, is the soil contact area.

[0041] It should be noted that in order to enhance the stability of the spiral anchor during the construction of the line tower, the inclination angle during insertion is generally 45 degrees. The soil structure at different depths is different, and the soil force is closely related to the soil type (such as clay, sand, gravel, etc.), density, water content, etc. These factors will directly affect the interaction between the screw anchor and the soil.

[0042] S2, constructing a spiral anchor structure influence model based on machine learning according to the spiral anchor influence data, and generating a spiral anchor structure influence coefficient, the specific steps are as follows: Collect historical screw anchor corrosion data, soil force impact data, and screw anchor size, material and installation depth data, and process outliers in the data; Based on the machine learning algorithm, the processed data is divided into a training set, and the training set data is used to train the machine learning model to learn the relationship between the spiral anchor corrosion data and the soil force influence data and the spiral anchor structure influence coefficient, and generate a spiral anchor structure influence model; The performance of the model is optimized through the cross-validation method, and the new spiral anchor corrosion data and soil force influence data are input into the trained spiral anchor structure influence model to generate the spiral anchor structure influence coefficient.

[0043] The spiral anchor structure affects the model, and the specific calculation method is as follows:

[0044] In the formula, is the structural influence coefficient of the helical anchor at the i-th depth, is the soil force impact data, For the data of the corrosion effect on the helical anchor, , is the weight coefficient.

[0045] It should be noted that when the influence data of soil force at depth becomes larger and larger, and the influence data of spiral anchor corrosion becomes smaller and smaller, the influence coefficient of spiral anchor structure will also become larger and larger.

[0046] S3, obtaining the structural influence coefficients of the spiral anchors in different depth areas and judging the depth areas that do not meet the standards based on the preset spiral anchor stress coefficients, and performing structural optimization on the spiral anchors in the depth areas.

[0047] The helical anchor stress coefficient refers to the structural implementation of the line tower. The helical anchor is used to fix the line tower to ensure the stability of the line tower. However, the line tower exposed to the outside will be subject to various natural loads, such as strong winds, mudslides and floods in harsh environments, which will generate pull-out loads and horizontal forces on the helical anchors connected to the line tower.

[0048] The specific method for obtaining the helical anchor stress coefficient is as follows: According to the historical weather in the construction environment, the ultimate uplift load of the wind on the spiral anchor in windy weather is obtained; Obtain the limit horizontal force on the helical anchor caused by debris flow, flood and tension of the conductor line; The spiral anchor force coefficient is obtained by calculating the ultimate pull-out load combined with the ultimate horizontal force of the spiral anchor based on the preset spiral anchor force formula.

[0049]

[0050] In the formula, G is the force coefficient of the screw anchor, is the ultimate uplift load, J is the contact area of ​​the wind, V is the wind speed, is the limit horizontal force of debris flow, is the flood limit horizontal force, For flow, The tension of the conductor line.

[0051] The specific steps of determining the depth area that does not meet the standard and optimizing the structure of the spiral anchor in the depth area are as follows: Obtain the set of spiral anchor structure influence coefficients at all soil depths, and compare all data sets with the spiral anchor force coefficients; If the influence coefficient set of the spiral anchor structure is greater than or equal to the spiral anchor force coefficient, it means that the spiral anchor structure does not need to be optimized at this time, and the foundation structure can adapt to the stability of the line tower under extreme conditions; If the influence coefficient set of the spiral anchor structure is less than the stress coefficient of the spiral anchor, it means that the spiral anchor structure cannot support the stability of the line tower under extreme conditions and needs to be optimized; The average of the set of spiral anchor structure influence coefficients of all depths is calculated, and the spiral anchor structure influence coefficients are compared with the average in order of the depth gradient gradually downward. The spiral anchor structure influence coefficients with smaller depth levels are prioritized and marked as priority design. The anchor rod segments of the corresponding depth of the priority design on the spiral anchor are increased in anchor plate diameter, the corrosion resistance of the surface material is increased, the anchor plate diameter is increased, and the contact area is increased to enhance the spiral anchor structure influence coefficient.

[0052] S4, by obtaining the optimized spiral anchor structure influence coefficient based on the spiral anchor force coefficient, it is determined whether the optimization effect meets the standard. The specific steps are as follows: The same method is used to obtain the spiral anchor corrosion influence data and soil force influence data of the optimized spiral anchor, perform data analysis, and generate the spiral anchor structure influence coefficient based on the spiral anchor structure influence model; The judgment is made by obtaining all optimized spiral anchor structure influence coefficients and spiral anchor force coefficients; If the optimized helical anchor structure influence coefficient is greater than the helical anchor force coefficient, it means that the structural optimization is reasonable; If the influence coefficient of the optimized spiral anchor structure is less than the stress coefficient of the spiral anchor, it means that the optimization scheme of the foundation design is not reasonable enough and there may be other special hidden dangers. Further investigation and analysis are needed to find the best optimization measures for the spiral structure.

[0053] The above formulas are all dimensionless and numerical calculations. The formula is a formula for the most recent real situation obtained by collecting a large amount of data and performing software simulation. The preset parameters in the formula are set by technicians in this field according to actual conditions.

[0054] The above embodiments may be implemented in whole or in part by software, hardware, firmware or any other combination. When implemented by software, the above embodiments may be implemented in whole or in part in the form of a computer program product.

[0055] Those of ordinary skill in the art will appreciate that the modules and algorithm steps of each example described in conjunction with the embodiments disclosed herein can be implemented in electronic hardware, or a combination of computer software and electronic hardware. Whether these functions are performed in hardware or software depends on the specific application and design constraints of the technical solution. Professional and technical personnel can use different methods to implement the described functions for each specific application, but such implementation should not be considered to be beyond the scope of this application.

[0056] In addition, each functional module in each embodiment of the present application may be integrated into one processing module, or each module may exist physically separately, or two or more modules may be integrated into one module.

[0057] The above is only a specific implementation of the present application, but the protection scope of the present application is not limited thereto. Any person skilled in the art who is familiar with the present technical field can easily think of changes or substitutions within the technical scope disclosed in the present application, which should be included in the protection scope of the present application. Therefore, the protection scope of the present application should be based on the protection scope of the claims.

[0058] Finally: The above description is only a preferred embodiment of the present invention and is not intended to limit the present invention. Any modifications, equivalent substitutions, improvements, etc. made within the spirit and principles of the present invention should be included in the protection scope of the present invention.

Claims

1. A method for optimizing the design of a spiral anchor foundation structure of a line tower, characterized in that: The steps include: Determine the depth of the construction soil according to the scale of the line tower, and collect the spiral anchor influence data at different depths of the construction soil, wherein the spiral anchor influence data includes spiral anchor corrosion influence data and soil action force influence data; Constructing a spiral anchor impact model based on machine learning according to the spiral anchor impact data, and generating a spiral anchor structure impact coefficient; Obtain the structural influence coefficient of the spiral anchor in different depth areas and determine the depth area that does not meet the standard based on the preset spiral anchor force coefficient, and perform structural optimization on the spiral anchor in the depth area; By obtaining the optimized spiral anchor structure influence coefficient and based on the spiral anchor stress coefficient, it is judged whether the optimization effect meets the standard.

2. A method for optimizing the design of a line tower spiral anchor foundation structure according to claim 1, characterized in that: The specific method for obtaining the spiral anchor corrosion impact data is as follows: Collecting soil types at different depths of soil to be constructed and obtaining first data of the soil types, wherein the first data includes corrosion rate, humidity, temperature and electrical conductivity; The corrosion resistance of the spiral anchor surface material and the anchor thickness parameters are obtained through metallographic analysis; The spiral anchor corrosion influence data is obtained by calculating based on a preset spiral anchor corrosion influence formula according to the first data of the soil type combined with the corrosion resistance of the spiral anchor surface material and the anchor rod thickness parameter.

3. A method for optimizing the design of a line tower spiral anchor foundation structure according to claim 1, characterized in that: The soil force influence data is specifically obtained in the following manner: The bearing capacity of the soil is obtained by analyzing the soil density, water content and contact area between the spiral anchor plate and the soil at different depths; The load force of the spiral anchor under the soil is calculated based on the inclination angle of the spiral anchor inserted into the soil and the length of the anchor rod combined with the bearing capacity of the soil; The friction force between the surrounding soil and the anchor is calculated based on the friction coefficient of the soil and the surface roughness of the anchor. The soil compressibility data and plasticity characteristic data are obtained, combined with the load force and friction force of the spiral rod under the soil, and the soil force influence data is calculated based on the preset soil force influence formula.

4. A method for optimizing the design of a line tower spiral anchor foundation structure according to claim 1, characterized in that: The spiral anchor structure influence model is constructed based on machine learning according to the spiral anchor influence data, and the spiral anchor structure influence coefficient is generated. The specific steps are as follows: Collect historical screw anchor corrosion data, soil force impact data, and screw anchor size, material and installation depth data, and process outliers in the data; Based on the machine learning algorithm, the processed data is divided into a training set, and the training set data is used to train the machine learning model to learn the relationship between the spiral anchor corrosion data and the soil force influence data and the spiral anchor structure influence coefficient, and generate a spiral anchor structure influence model; The performance of the model is optimized through the cross-validation method, and the new spiral anchor corrosion data and soil force influence data are input into the trained spiral anchor structure influence model to generate the spiral anchor structure influence coefficient.

5. The method for designing and optimizing the foundation structure of a line tower spiral anchor according to claim 1, characterized in that: The specific method for obtaining the helical anchor stress coefficient is as follows: According to the historical weather in the construction environment, the ultimate uplift load of the wind on the spiral anchor in windy weather is obtained; Obtain the limit horizontal force on the helical anchor caused by debris flow, flood and tension of the conductor line; The spiral anchor force coefficient is obtained by calculating the ultimate pull-out load combined with the ultimate horizontal force of the spiral anchor based on the preset spiral anchor force formula.

6. A method for optimizing the design of a line tower spiral anchor foundation structure according to claim 1, characterized in that: The specific steps of determining the depth area that does not meet the standard and optimizing the structure of the spiral anchor in the depth area are as follows: Obtain the set of spiral anchor structure influence coefficients at all soil depths, and compare all data sets with the spiral anchor force coefficients; If the set of helical anchor structure influence coefficients is greater than or equal to the helical anchor force coefficient, the foundation structure can adapt to the stability of the line tower under extreme conditions; If the influence coefficient set of the spiral anchor structure is less than the spiral anchor stress coefficient, the spiral anchor structure cannot support the stability of the line tower under extreme conditions and needs to be optimized. The specific steps are as follows: The average of the set of spiral anchor structure influence coefficients of all depths is calculated, and the spiral anchor structure influence coefficients are compared with the average in order of the depth gradient gradually downward. The spiral anchor structure influence coefficients with smaller depth levels are prioritized and marked as priority design. The anchor rod segments of the corresponding depth of the priority design on the spiral anchor are increased in anchor plate diameter and the corrosion resistance of the surface material is increased to enhance the spiral anchor structure influence coefficient.

7. A method for optimizing the design of a line tower spiral anchor foundation structure according to claim 1, characterized in that: The specific steps of obtaining the optimized spiral anchor structure influence coefficient and judging whether the optimization effect meets the standard based on the spiral anchor stress coefficient are as follows: The same method is used to obtain the spiral anchor corrosion influence data and soil force influence data of the optimized spiral anchor, perform data analysis, and generate the spiral anchor structure influence coefficient based on the spiral anchor structure influence model; The judgment is made by obtaining all optimized spiral anchor structure influence coefficients and spiral anchor force coefficients; If the optimized helical anchor structure influence coefficient is greater than the helical anchor stress coefficient, the structural optimization is reasonable; If the optimized influence coefficient of the spiral anchor structure is smaller than the stress coefficient of the spiral anchor, the optimization scheme of the foundation design is unreasonable.

8. The method for optimizing the design of a line tower spiral anchor foundation structure according to claim 3, characterized in that: The specific calculation formula of the bearing capacity of the soil is as follows: The specific calculation formula of the load force of the spiral rod under the soil is as follows: The soil force influences the data, and the specific calculation formula is as follows: In the formula, is the soil force impact data, is the load force of the screw rod under the soil, is the friction between the surrounding soil and the anchor rod, is the soil compressibility data, is the plastic characteristic data, q is the number of screw anchors, is the bearing capacity of the soil at the i-th depth, is the soil compaction degree at the i-th depth, is the soil area at the ith depth, is the water content, is the soil contact area.

9. A method for optimizing the design of a line tower spiral anchor foundation structure according to claim 2, characterized in that: The specific calculation formula for the spiral anchor corrosion impact data is as follows: In the formula, For the data of the corrosion effect on the helical anchor, is the corrosion rate of the i-th type of soil, is the soil temperature of type i, is the moisture content of the i-th type of soil, is the electrical conductivity, t is the working life of the spiral anchor, n is the corrosion resistance of the surface material of the spiral anchor, and q is the anchor rod thickness parameter.

10. A method for optimizing the design of a line tower spiral anchor foundation structure according to claim 4, characterized in that: The spiral anchor structure affects the model, and the specific calculation method is as follows: In the formula, is the structural influence coefficient of the helical anchor at the i-th depth, is the soil force impact data, For the data of the corrosion effect on the helical anchor, , is the weight coefficient.

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