Intelligent sensing and analyzing method for vertical bearing capacity of pressure type anchor rod composite foundation

Abstract

The invention discloses an intelligent sensing and analysis method for the vertical bearing capacity of a pressure type anchor rod composite foundation, and relates to the technical field of civil engineering, and the method comprises the following steps: constructing an intelligent sensing system, extracting feature data from collected data through the intelligent sensing system, and carrying out data processing; according to the characteristic data, based on a structural mechanics principle, a rock and soil mechanics theory and an artificial intelligence algorithm, constructing a bearing capacity intelligent analysis model; inputting the real-time monitoring result into a bearing capacity intelligent analysis model to obtain an analysis result, and setting an early warning threshold value; by integrating the advanced sensor technology, the data processing algorithm and the artificial intelligence technology, real-time monitoring and accurate analysis of the vertical bearing capacity of the foundation are achieved, and the monitoring precision and the intelligent level are improved.

Description

Technical Field

[0001] The present invention relates to the field of civil engineering technology, and more specifically, to an intelligent perception and analysis method for the vertical bearing capacity of a pressure-type anchor composite foundation. Background Art

[0002] With the acceleration of urbanization and the vigorous development of infrastructure construction, the requirements for foundation engineering are increasing day by day. Especially in areas with complex geological conditions and high load requirements, the traditional single foundation form is often difficult to meet the needs. As a new type of foundation form, the pressure-type anchor composite foundation forms a stable anchoring system through the interaction between the anchor and the surrounding soil. It has the advantages of strong bearing capacity, convenient construction, and strong adaptability. It has gradually become one of the preferred foundation forms for large-scale infrastructure.

[0003] At present, there are some foundation bearing capacity monitoring technologies on the market, but most of them have problems such as low monitoring accuracy, insufficient data analysis capabilities, and low intelligence. The present invention aims to provide a vertical bearing capacity analysis method for pressure-type anchor composite foundation based on intelligent perception to solve the above problems.

[0004] The above disclosed technical solutions have at least the following technical problems: However, the vertical bearing capacity of the pressure-type anchor composite foundation is affected by many factors, such as geological conditions, anchor material properties, and construction technology, and may change during actual use due to environmental changes and load effects. Therefore, how to accurately and in real time monitor and analyze the vertical bearing capacity of the pressure-type anchor composite foundation has become an urgent problem to be solved in the engineering community. In view of the above problems, the present invention proposes a solution. Summary of the invention

[0005] In order to overcome the above-mentioned defects of the prior art, an embodiment of the present invention provides an intelligent perception and analysis method for the vertical bearing capacity of a pressure-type anchor composite foundation. By integrating advanced sensor technology, data processing algorithms and artificial intelligence technology, it solves the problem of real-time monitoring and precise analysis of the vertical bearing capacity of the foundation, thereby improving the monitoring accuracy and intelligence level.

[0006] To achieve the above object, the present invention provides the following technical solutions: An intelligent perception and analysis method for the vertical bearing capacity of a pressure-type anchor composite foundation includes building an intelligent perception system, extracting characteristic data from collected data through the intelligent perception system and performing data processing; building a bearing capacity intelligent analysis model based on the characteristic data and structural mechanics principles, geotechnical mechanics theory and artificial intelligence algorithms; inputting the bearing capacity intelligent analysis model into the bearing capacity intelligent analysis model according to real-time monitoring results, obtaining analysis results, and setting an early warning threshold.

[0007] In a preferred embodiment, the steps of constructing an intelligent sensing system are as follows: deploying high-precision stress sensors, displacement sensors and soil pressure sensors at key positions of the pressure-type anchor composite foundation to monitor the stress state of the anchor, the displacement changes of the foundation and the pressure distribution of the surrounding soil in real time; transmitting the data collected by the sensors to a data processing center by wired or wireless means to ensure the real-time and accuracy of the data; constructing an intelligent sensing platform based on cloud computing and big data technology to centrally store, manage and analyze the data.

[0008] In a preferred embodiment, the characteristic data includes a soil strength influence coefficient, and the steps for obtaining the soil strength influence coefficient are as follows: obtain soil sample materials in the area to be tested, perform a static penetration test on the soil materials, continuously increase the vertical pressure applied during the experiment, and record the vertical pressure and stress-strain relationship data of the soil, find the vertical pressure corresponding to the maximum stress from the vertical pressure and stress-strain relationship data, that is, the maximum bearing capacity of the soil; based on the vertical distance from the bottom surface of the foundation to the ground, that is, the foundation burial depth; measure the soil stress at the depth according to the foundation burial depth, and obtain the initial stress of the lower part of the foundation; obtain soil sample materials at different depths in the area to be tested, obtain the bearing capacity of soil materials at different depths, select one as the standard bearing capacity according to the bearing capacity, and obtain the depth of soil corresponding to the standard bearing capacity. , which is the standard depth under the foundation contact surface; measuring the change data of soil stress at different depths in the test area, plotting the change data between depth and soil stress into a depth-soil stress curve, finding the peak value where the soil stress gradually weakens with increasing depth according to the curve, and obtaining the depth of the stress attenuation layer of the soil; conducting a triaxial test on the soil in the test area, and recording the stress change data and the internal friction angle during the experiment, plotting the stress change data into a stress-strain curve, and obtaining the elastic coefficient of the soil by calculating the slope of the stress-strain curve; and calculating the soil strength influence coefficient based on the preset soil strength influence coefficient formula according to the maximum bearing capacity of the soil, the foundation burial depth, the initial stress under the foundation, the standard depth under the foundation contact surface, the soil stress attenuation layer depth, the internal friction angle and the elastic coefficient of the soil.

[0009] In a preferred embodiment, the characteristic data includes an anchor material performance coefficient, and the steps for obtaining the anchor material performance coefficient are as follows: a sample of a certain size and uniform cross-sectional area is cut from the anchor material, and a tensile force is slowly applied to the anchor material to be tested through a tensile testing machine, and the length change data of the anchor material under different tensile forces are recorded; strain data is obtained based on the strain formula according to the length change data of the anchor material; the initial cross-sectional area of ​​the anchor material to be tested is obtained, and stress data is obtained based on the stress formula according to the initial cross-sectional area and the applied tensile force; the elastic modulus of the anchor material is obtained based on the elastic modulus formula according to the stress data and the strain data; the length of the anchor to be tested, the diameter of the anchor and the radius of the contact surface between the anchor and the soil are obtained, and the anchor material performance coefficient is obtained based on the cross-sectional area of ​​the anchor, the elastic modulus of the anchor material, the length of the anchor, the diameter of the anchor and the radius of the contact surface between the anchor and the soil, and the anchor material performance coefficient is calculated based on a preset anchor material performance coefficient formula according to the cross-sectional area of ​​the anchor, the elastic modulus of the anchor material, the length of the anchor, the diameter of the anchor and the radius of the contact surface between the anchor and the soil.

[0010] In a preferred embodiment, the characteristic data includes an environmental impact coefficient, and the steps for obtaining the environmental impact coefficient are as follows: prepare a group of soil materials in the area to be tested, control the temperature of the soil to be tested, and measure the shear strength of the soil at different temperatures through a direct shear test, and obtain the temperature sensitivity coefficient based on regression analysis according to the relationship data between temperature and shear strength of the soil; obtain historical meteorological temperature data of the area to be tested, obtain a temperature range according to the meteorological temperature data, and select a temperature as the standard temperature according to the temperature range; prepare multiple groups of soil materials and anchor rods in the area to be tested, control the humidity of the soil to be tested, bury the anchor rods in soils with different humidity, and perform an aging test method to accelerate the experiment; take out the anchor rods after a period of time, perform a shear test on the anchor rods, and obtain the shear strength data of the anchor rods; obtain the humidity sensitivity coefficient based on linear regression analysis according to the change data between humidity and shear strength of the anchor rods; obtain the ambient temperature and soil humidity of the area to be tested, and calculate the environmental impact coefficient based on a preset environmental impact coefficient formula according to the temperature sensitivity coefficient, standard temperature, ambient temperature, humidity sensitivity coefficient and soil humidity.

[0011] In a preferred embodiment, the real-time monitoring results are input into the bearing capacity intelligent analysis model to obtain analysis results and set a warning threshold, as follows: real-time data of the area to be tested is acquired, and characteristic variable data is extracted from the real-time data, wherein the characteristic variable data includes the initial stress in the lower part of the foundation, the depth of the stress attenuation layer of the soil, the elastic modulus of the anchor material, the ambient temperature and the humidity of the soil; the extracted characteristic variable data is input into the bearing capacity intelligent analysis model to obtain analysis results and set a warning threshold; the analysis result is compared with the warning threshold, and if it is lower than the warning threshold, the administrator is reminded to perform maintenance and replacement.

[0012] The technical effects and advantages of the intelligent perception and analysis method for the vertical bearing capacity of a pressure-type anchor composite foundation of the present invention are as follows: 1. The present invention provides a method for intelligent perception and analysis of the vertical bearing capacity of a pressure-type anchor composite foundation, which integrates advanced sensor technology, data processing algorithms and artificial intelligence technology to achieve real-time monitoring and precise analysis of the vertical bearing capacity of the foundation. The method has the advantages of high monitoring accuracy, strong data analysis capabilities, and high intelligence, providing strong support for engineering practice. At the same time, the invention also has good application prospects and promotion value, and can be widely used in large-scale infrastructure construction in the fields of electricity, transportation, and construction.

[0013] 2. The present invention comprehensively considers the influence of soil, anchor and environmental factors on the foundation bearing capacity by introducing characteristic data such as soil strength influence coefficient, anchor material performance coefficient and environmental influence coefficient. These coefficients are obtained through precise experimental and measurement methods, making the bearing capacity analysis more scientific and precise, and can effectively cope with changes in different soil types and different climatic conditions. By inputting these characteristic data into the intelligent analysis model in real time and setting a reasonable early warning threshold, once the monitoring result is lower than the threshold, the system will issue an early warning in time to remind maintenance personnel to take necessary measures to avoid foundation instability or catastrophic accidents. BRIEF DESCRIPTION OF THE DRAWINGS

[0014] Figure 1 It is a structural schematic diagram of an intelligent perception and analysis method for the vertical bearing capacity of a pressure-type anchor composite foundation according to the present invention. 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] With the acceleration of urbanization and the vigorous development of infrastructure construction, the requirements for foundation engineering are increasing day by day. Especially in areas with complex geological conditions and high load requirements, the traditional single foundation form is often difficult to meet the needs. As a new type of foundation form, the pressure-type anchor composite foundation forms a stable anchoring system through the interaction between the anchor and the surrounding soil. It has the advantages of strong bearing capacity, convenient construction, and strong adaptability. It has gradually become one of the preferred foundation forms for large-scale infrastructure.

[0017] At present, there are some foundation bearing capacity monitoring technologies on the market, but most of them have problems such as low monitoring accuracy, insufficient data analysis capabilities, and low intelligence. The present invention aims to provide a vertical bearing capacity analysis method for pressure-type anchor composite foundation based on intelligent perception to solve the above problems.

[0018] However, the vertical bearing capacity of the pressure-type anchor composite foundation is affected by many factors, such as geological conditions, anchor material properties, and construction technology, and may change during actual use due to environmental changes and load effects. Therefore, how to accurately and in real time monitor and analyze the vertical bearing capacity of the pressure-type anchor composite foundation has become an urgent problem to be solved in the engineering community.

[0019] Embodiment 1, Figure 1 The present invention provides an intelligent perception and analysis method for the vertical bearing capacity of a pressure-type anchor composite foundation, comprising the following steps: S1, build an intelligent perception system, extract feature data from the collected data through the intelligent perception system and perform data processing.

[0020] In this embodiment, the intelligent sensing system is constructed to extract feature data from the collected data and perform data processing through the intelligent sensing system, as follows: The steps of constructing the intelligent perception system are as follows: Deploy high-precision stress sensors, displacement sensors and soil pressure sensors at key locations of pressure-type anchor composite foundations to monitor the stress state of anchors, displacement changes of foundations and pressure distribution of surrounding soil in real time; Transmit the data collected by the sensor to the data processing center by wired or wireless means to ensure the real-time and accuracy of the data; Build an intelligent perception platform based on cloud computing and big data technologies to centrally store, manage and analyze data.

[0021] The intelligent sensing system is used to extract feature data from the collected data and perform data processing, as follows: The characteristic data include soil strength influence coefficient, anchor material performance coefficient and environmental influence coefficient, which are as follows: Soil strength influence coefficient is an important parameter that comprehensively reflects the bearing capacity characteristics of the soil layer where the foundation is located. It is affected by many factors such as soil type, density, friction angle, etc. The coefficient is calculated by a formula, which includes key elements such as the maximum bearing capacity of the soil, the initial stress under the foundation, the foundation burial depth, the standard depth, the depth of the stress attenuation layer, the elastic coefficient of the soil, the internal friction angle and the plasticity coefficient. This formula comprehensively considers the elastic behavior, stress distribution and friction angle of the soil, and can more accurately evaluate the bearing capacity characteristics of the soil layer, providing an important reference for engineering design and construction. Therefore, the soil strength influence coefficient is an important concept in the field of soil mechanics.

[0022] The steps for obtaining the soil strength influence coefficient are as follows: Obtain soil sample materials from the area to be tested, conduct a static penetration test on the soil material, continuously increase the vertical pressure applied during the experiment, and record the vertical pressure and stress-strain relationship data of the soil. From the vertical pressure and stress-strain relationship data, find the vertical pressure corresponding to the maximum stress, which is the maximum bearing capacity of the soil; According to the vertical distance from the bottom of the foundation to the ground, that is, the foundation burial depth; According to the foundation burial depth, measure the soil stress at the depth and obtain the initial stress under the foundation; Obtain soil sample materials at different depths in the area to be tested, obtain the bearing capacity of soil materials at different depths, select one as the standard bearing capacity according to the bearing capacity, and the depth of soil obtained corresponding to the standard bearing capacity is the standard depth under the foundation contact surface; Measure the change data of soil stress at different depths in the test area, plot the change data between depth and soil stress into a depth-soil stress curve, find the peak value where soil stress gradually weakens with increasing depth according to the curve, and obtain the depth of the soil stress attenuation layer; Carry out triaxial test on the soil in the test area, record the stress change data and internal friction angle during the experiment, plot the stress change data into stress-strain curve, and calculate the slope of the stress-strain curve to obtain the elastic coefficient of the soil; The soil strength influence coefficient is calculated based on the preset soil strength influence coefficient formula according to the maximum bearing capacity of the soil, the foundation burial depth, the initial stress under the foundation, the standard depth under the foundation contact surface, the stress attenuation layer depth of the soil, the internal friction angle and the elastic coefficient of the soil.

[0023] The calculation formula of the soil strength influence coefficient is as follows:

[0024] In the formula, is the soil strength influence coefficient, is the maximum bearing capacity of the soil, is the initial stress in the lower part of the foundation, is the foundation depth, is the standard depth below the foundation contact surface, is the stress attenuation layer depth of the soil, is the elastic coefficient of soil, is the internal friction angle of the soil.

[0025] Anchor material performance coefficient, anchor material performance coefficient is a key indicator that comprehensively reflects the material, design and interaction performance of the anchor with the soil. The anchor material performance coefficient is calculated by a specific formula based on the elastic modulus, cross-sectional area, length, diameter and radius parameters of the contact surface with the soil. The anchor material performance coefficient not only considers the strength and stiffness of the anchor itself, but also incorporates the influence of the friction between the anchor and the soil interface, so as to comprehensively evaluate the contribution of the anchor to the bearing capacity of the foundation. In geotechnical engineering, accurate calculation and application of this coefficient is crucial to ensure the safety of the structure.

[0026] The steps for obtaining the anchor material performance coefficient are as follows: Cut a sample of a certain size from the anchor material with uniform cross-sectional area, slowly apply tension to the anchor material to be tested through a tensile testing machine, and record the length change data of the anchor material under different tensions; According to the length change data of the anchor material, the strain data is obtained based on the strain formula; Obtaining the initial cross-sectional area of ​​the anchor material to be tested, and calculating based on the stress formula according to the initial cross-sectional area and the applied tension to obtain stress data; According to the stress data and strain data, the elastic modulus of the anchor material is calculated based on the elastic modulus formula; The length of the anchor rod to be tested, the diameter of the anchor rod and the radius of the contact surface between the anchor rod and the soil are obtained, and the anchor rod material performance coefficient is calculated based on the preset anchor rod material performance coefficient formula according to the cross-sectional area of ​​the anchor rod, the elastic modulus of the anchor rod material, the length of the anchor rod, the diameter of the anchor rod and the radius of the contact surface between the anchor rod and the soil.

[0027] The calculation formula of the anchor material performance coefficient is as follows:

[0028] In the formula, is the anchor material performance coefficient, is the elastic modulus of the anchor material, is the cross-sectional area of ​​the anchor rod, is the length of the anchor rod, is the diameter of the anchor rod, is the radius of the contact surface between the anchor and the soil.

[0029] Environmental impact coefficient, the environmental impact coefficient is an important parameter used to evaluate the impact of environmental conditions (mainly including temperature and humidity) on the vertical bearing capacity of the foundation. This coefficient comprehensively considers the impact of temperature sensitivity coefficient and humidity sensitivity coefficient, and takes into account the difference between ambient temperature and standard temperature and soil moisture level through mathematical formulas. It reflects the potential impact of temperature fluctuations on soil physical and chemical properties and material performance, as well as the important role of humidity changes on soil strength and anchor durability, providing an important environmental correction basis for structural engineering design and foundation bearing capacity assessment.

[0030] The steps for obtaining the environmental impact coefficient are as follows: Prepare a set of soil materials in the test area, control the temperature of the test soil, and measure the shear strength of the soil at different temperatures through direct shear tests. According to the relationship data between temperature and shear strength of the soil, the temperature sensitivity coefficient is obtained based on regression analysis; Obtain historical meteorological temperature data of the area to be tested, obtain a temperature range based on the meteorological temperature data, and select a temperature as the standard temperature based on the temperature range; Prepare multiple groups of soil materials and anchors in the test area, control the humidity of the soil to be tested, bury the anchors in soils with different humidity, and perform aging test methods to accelerate the test; After a period of time, the anchor rod is taken out and a shear test is performed on the anchor rod to obtain the shear strength data of the anchor rod; According to the variation data between humidity and shear strength of anchor bolts, the humidity sensitivity coefficient was obtained based on linear regression analysis; The ambient temperature and soil humidity of the area to be measured are obtained, and the environmental impact coefficient is calculated based on a preset environmental impact coefficient formula according to the temperature sensitivity coefficient, standard temperature, ambient temperature, humidity sensitivity coefficient and soil humidity to obtain the environmental impact coefficient.

[0031] The calculation formula of the environmental impact coefficient is as follows:

[0032] In the formula, is the environmental impact factor, is the temperature sensitivity coefficient, is the ambient temperature, is the standard temperature, is the humidity sensitivity coefficient, It is the moisture content of the soil.

[0033] S2, constructing a bearing capacity intelligent analysis model according to the characteristic data based on the principles of structural mechanics, geotechnical mechanics theory and artificial intelligence algorithms.

[0034] In this embodiment, according to the characteristic data, based on the principles of structural mechanics, geotechnical mechanics theory and artificial intelligence algorithms, an intelligent analysis model of bearing capacity is constructed, as follows: According to the soil strength influence coefficient, anchor material performance coefficient and environmental influence coefficient, based on the characteristic data, based on the principles of structural mechanics, geotechnical mechanics theory and artificial intelligence algorithm, a bearing capacity intelligent analysis model is constructed; The calculation formula of the bearing capacity intelligent analysis model is as follows:

[0035] In the formula, is the bearing capacity assessment factor, is the soil strength influence coefficient, is the anchor material performance coefficient, is the environmental impact factor.

[0036] It should be noted that if the value of the bearing capacity assessment coefficient is large, the vertical bearing capacity of the foundation will be high. Specifically, if the soil bearing capacity is strong, the anchor material is excellent, and the environmental conditions are favorable, the vertical bearing capacity will be large and can withstand greater loads; if the bearing capacity assessment coefficient is low (such as poor soil bearing capacity, poor anchor material, unfavorable environment), the vertical bearing capacity will be low, which may lead to foundation failure or insufficient bearing capacity, and cannot meet the design requirements.

[0037] S3, input the bearing capacity intelligent analysis model according to the real-time monitoring results, obtain the analysis results, and set the warning threshold.

[0038] In this embodiment, the real-time monitoring results are input into the bearing capacity intelligent analysis model to obtain the analysis results and set the warning threshold, which is as follows: Acquire real-time data of the area to be measured, and extract characteristic variable data from the real-time data, wherein the characteristic variable data includes initial stress at the bottom of the foundation, depth of the stress attenuation layer of the soil, elastic modulus of the anchor material, ambient temperature and soil humidity; Input the extracted characteristic variable data into the carrying capacity intelligent analysis model to obtain the analysis results and set the warning threshold; The analysis result is compared with the warning threshold, and if it is lower than the warning threshold, the administrator is reminded to perform maintenance and replacement.

[0039] 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.

[0040] 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.

[0041] 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.

[0042] 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.

[0043] 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.

[0044] 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. An intelligent perception and analysis method for the vertical bearing capacity of a pressure-type anchor composite foundation, characterized in that: The steps include: Build an intelligent perception system to extract feature data from the collected data and process the data; According to the characteristic data, based on the principles of structural mechanics, geotechnical mechanics theory and artificial intelligence algorithms, an intelligent analysis model of bearing capacity is constructed; According to the real-time monitoring results, the carrying capacity intelligent analysis model is input to obtain the analysis results and set the warning threshold.

2. The intelligent perception and analysis method for the vertical bearing capacity of a pressure anchor composite foundation according to claim 1 is characterized in that: The steps of constructing the intelligent perception system are as follows: Deploy high-precision stress sensors, displacement sensors and soil pressure sensors at key locations of pressure-type anchor composite foundations to monitor the stress state of anchors, displacement changes of foundations and pressure distribution of surrounding soil in real time; Transmit the data collected by the sensor to the data processing center by wired or wireless means to ensure the real-time and accuracy of the data; Build an intelligent perception platform based on cloud computing and big data technologies to centrally store, manage and analyze data.

3. The intelligent perception and analysis method for the vertical bearing capacity of a pressure anchor composite foundation according to claim 2 is characterized in that: The characteristic data includes soil strength influence coefficient, and the steps for obtaining the soil strength influence coefficient are as follows: Obtain soil sample materials from the area to be tested, conduct a static penetration test on the soil material, continuously increase the vertical pressure applied during the experiment, and record the vertical pressure and stress-strain relationship data of the soil. From the vertical pressure and stress-strain relationship data, find the vertical pressure corresponding to the maximum stress, which is the maximum bearing capacity of the soil; According to the vertical distance from the bottom of the foundation to the ground, that is, the foundation burial depth; According to the foundation burial depth, measure the soil stress at the depth and obtain the initial stress under the foundation; Obtain soil sample materials at different depths in the area to be tested, obtain the bearing capacity of soil materials at different depths, select one as the standard bearing capacity according to the bearing capacity, and the depth of soil obtained corresponding to the standard bearing capacity is the standard depth under the foundation contact surface; Measure the change data of soil stress at different depths in the test area, plot the change data between depth and soil stress into a depth-soil stress curve, find the peak value where soil stress gradually weakens with increasing depth according to the curve, and obtain the depth of the soil stress attenuation layer; Carry out triaxial test on the soil in the test area, record the stress change data and internal friction angle during the experiment, plot the stress change data into stress-strain curve, and calculate the slope of the stress-strain curve to obtain the elastic coefficient of the soil; The soil strength influence coefficient is calculated based on the preset soil strength influence coefficient formula according to the maximum bearing capacity of the soil, the foundation burial depth, the initial stress under the foundation, the standard depth under the foundation contact surface, the stress attenuation layer depth of the soil, the internal friction angle and the elastic coefficient of the soil.

4. The intelligent perception and analysis method for the vertical bearing capacity of a pressure anchor composite foundation according to claim 3 is characterized in that: The characteristic data includes the anchor material performance coefficient, and the steps for obtaining the anchor material performance coefficient are as follows: Cut a sample of a certain size from the anchor material with uniform cross-sectional area, slowly apply tension to the anchor material to be tested through a tensile testing machine, and record the length change data of the anchor material under different tensions; According to the length change data of the anchor material, the strain data is obtained based on the strain formula; Obtaining the initial cross-sectional area of ​​the anchor material to be tested, and calculating based on the stress formula according to the initial cross-sectional area and the applied tension to obtain stress data; According to the stress data and strain data, the elastic modulus of the anchor material is calculated based on the elastic modulus formula; The length of the anchor rod to be tested, the diameter of the anchor rod and the radius of the contact surface between the anchor rod and the soil are obtained, and the anchor rod material performance coefficient is calculated based on the preset anchor rod material performance coefficient formula according to the cross-sectional area of ​​the anchor rod, the elastic modulus of the anchor rod material, the length of the anchor rod, the diameter of the anchor rod and the radius of the contact surface between the anchor rod and the soil.

5. The intelligent perception and analysis method for the vertical bearing capacity of a pressure anchor composite foundation according to claim 4 is characterized in that: The characteristic data includes an environmental impact coefficient, and the steps for obtaining the environmental impact coefficient are as follows: Prepare a set of soil materials in the test area, control the temperature of the test soil, and measure the shear strength of the soil at different temperatures through direct shear tests. According to the relationship data between temperature and shear strength of the soil, the temperature sensitivity coefficient is obtained based on regression analysis; Obtain historical meteorological temperature data of the area to be tested, obtain a temperature range based on the meteorological temperature data, and select a temperature as the standard temperature based on the temperature range; Prepare multiple groups of soil materials and anchors in the test area, control the humidity of the soil to be tested, bury the anchors in soils with different humidity, and perform aging test methods to accelerate the test; After a period of time, the anchor rod is taken out and a shear test is performed on the anchor rod to obtain the shear strength data of the anchor rod; According to the variation data between humidity and shear strength of anchor bolts, the humidity sensitivity coefficient was obtained based on linear regression analysis; The ambient temperature and soil humidity of the area to be measured are obtained, and the environmental impact coefficient is calculated based on a preset environmental impact coefficient formula according to the temperature sensitivity coefficient, standard temperature, ambient temperature, humidity sensitivity coefficient and soil humidity to obtain the environmental impact coefficient.

6. The intelligent perception and analysis method for the vertical bearing capacity of a pressure anchor composite foundation according to claim 5 is characterized in that: The real-time monitoring results are input into the bearing capacity intelligent analysis model to obtain the analysis results and set the warning threshold, as follows: Acquire real-time data of the area to be measured, and extract characteristic variable data from the real-time data, wherein the characteristic variable data includes initial stress at the bottom of the foundation, depth of the stress attenuation layer of the soil, elastic modulus of the anchor material, ambient temperature and soil humidity; Input the extracted characteristic variable data into the carrying capacity intelligent analysis model to obtain the analysis results and set the warning threshold; The analysis result is compared with the warning threshold, and if it is lower than the warning threshold, the administrator is reminded to perform maintenance and replacement.

7. The intelligent perception and analysis method for the vertical bearing capacity of a pressure-type anchor composite foundation according to claim 6 is characterized in that: The calculation formula of the soil strength influence coefficient is as follows: In the formula, is the soil strength influence coefficient, is the maximum bearing capacity of the soil, is the initial stress in the lower part of the foundation, is the foundation depth, is the standard depth below the foundation contact surface, is the stress attenuation layer depth of the soil, is the elastic coefficient of soil, is the internal friction angle of the soil.

8. The intelligent perception and analysis method for the vertical bearing capacity of a pressure anchor composite foundation according to claim 7 is characterized in that: The calculation formula of the anchor material performance coefficient is as follows: In the formula, is the anchor material performance coefficient, is the elastic modulus of the anchor material, is the cross-sectional area of ​​the anchor rod, is the length of the anchor rod, is the diameter of the anchor rod, is the radius of the contact surface between the anchor and the soil.

9. The intelligent perception and analysis method for the vertical bearing capacity of a pressure-type anchor composite foundation according to claim 8 is characterized in that: The calculation formula of the environmental impact coefficient is as follows: In the formula, is the environmental impact factor, is the temperature sensitivity coefficient, is the ambient temperature, is the standard temperature, is the humidity sensitivity coefficient, It is the moisture content of the soil.

10. The intelligent perception and analysis method for the vertical bearing capacity of a pressure anchor composite foundation according to claim 9, characterized in that: The calculation formula of the bearing capacity intelligent analysis model is as follows: In the formula, is the bearing capacity assessment factor, is the soil strength influence coefficient, is the anchor material performance coefficient, is the environmental impact factor.

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