An intelligent perception and analysis method for the vertical bearing capacity of pressure-type anchor composite foundation

Abstract

The present invention discloses an intelligent perception and analysis method for the vertical bearing capacity of a pressure-type anchor composite foundation, which relates to the field of civil engineering technology and comprises the following steps: constructing an intelligent perception system, extracting characteristic data from the collected data through the intelligent perception system and performing data processing; constructing a bearing capacity intelligent analysis model based on the characteristic data and the principles of structural mechanics, geotechnical mechanics and artificial intelligence algorithms; inputting the bearing capacity intelligent analysis model into the real-time monitoring results to obtain the analysis results and set an early warning threshold; the present application integrates advanced sensor technology, data processing algorithms and artificial intelligence technology to solve the problems of real-time monitoring and precise analysis of the vertical bearing capacity of the foundation, thereby improving the monitoring accuracy and intelligence level.

Description

Technical Field

[0001] The present invention relates to the field of civil engineering technology, and more particularly 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 booming development of infrastructure, the requirements for foundation engineering are increasing. Traditional single foundation forms often fail to meet these requirements, especially in areas with complex geological conditions and high load requirements. As a new foundation form, the pressure-bolted composite foundation forms a stable anchoring system through the interaction between the anchors and the surrounding soil. It offers advantages such as strong bearing capacity, convenient construction, and strong adaptability, and is gradually becoming one of the preferred foundation forms for large-scale infrastructure.

[0003] Currently, there are several foundation bearing capacity monitoring technologies on the market, but most suffer from low monitoring accuracy, insufficient data analysis capabilities, and low intelligence. This invention aims to provide a method for analyzing the vertical bearing capacity of a pressure-type anchor composite foundation based on intelligent perception to address these issues.

[0004] The above disclosed technical solutions have at least the following technical problems:

[0005] However, the vertical bearing capacity of pressure-type anchor composite foundations is affected by numerous factors, such as geological conditions, anchor material properties, and construction techniques. Furthermore, it can vary during actual use due to environmental changes and loads. Therefore, accurately and in real time monitoring and analysis of the vertical bearing capacity of pressure-type anchor composite foundations has become a pressing challenge in the engineering community. The present invention addresses this issue by providing a solution. Summary of the Invention

[0006] 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.

[0007] To achieve the above object, the present invention provides the following technical solutions:

[0008] An intelligent perception and analysis method for the vertical bearing capacity of a pressure-type anchor composite foundation includes constructing an intelligent perception system, extracting characteristic data from collected data through the intelligent perception system and performing data processing; constructing an intelligent bearing capacity analysis model based on the characteristic data and the principles of structural mechanics, geotechnical mechanics theory, and artificial intelligence algorithms; and inputting real-time monitoring results into the intelligent bearing capacity analysis model to obtain analysis results and set warning thresholds.

[0009] In a preferred embodiment, the steps of constructing an intelligent perception 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 via wired or wireless means to ensure the real-time and accuracy of the data; building an intelligent perception platform based on cloud computing and big data technology to centrally store, manage and analyze the data.

[0010] 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 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; calculating the soil strength influence coefficient based on the preset soil strength influence coefficient formula according to the maximum bearing capacity of the soil, foundation burial depth, initial stress under the foundation, standard depth under the foundation contact surface, soil stress attenuation layer depth, internal friction angle and elastic coefficient of the soil.

[0011] In a preferred embodiment, the characteristic data includes the 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, tension is slowly applied to the anchor material to be tested by a tensile testing machine, and the length change data of the anchor material under different tensions is 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 tension; 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 obtained by calculation based on the preset anchor material performance coefficient formula.

[0012] 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; remove 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 obtain the environmental impact coefficient based on the temperature sensitivity coefficient, standard temperature, ambient temperature, humidity sensitivity coefficient and soil humidity according to a preset environmental impact coefficient formula.

[0013] In a preferred embodiment, the real-time monitoring results are input into the bearing capacity intelligent analysis model to obtain analysis results and set an early warning threshold, specifically as follows: real-time data of the area to be measured is acquired, and characteristic variable data is extracted from the real-time data, wherein the characteristic variable data includes the initial stress of 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 an early warning threshold; the analysis result is compared with the early warning threshold, and if it is lower than the early warning threshold, the administrator is reminded to perform maintenance and replacement.

[0014] The technical effects and advantages of the intelligent perception and analysis method for the vertical bearing capacity of a pressure-type anchor composite foundation provided by the present invention are as follows:

[0015] 1. This invention provides an intelligent perception and analysis method for the vertical bearing capacity of pressure-type anchor composite foundations. By integrating advanced sensor technology, data processing algorithms, and artificial intelligence techniques, it enables real-time monitoring and precise analysis of the foundation's vertical bearing capacity. This method boasts high monitoring accuracy, robust data analysis capabilities, and a high level of intelligence, providing strong support for engineering practice. Furthermore, this invention has promising application prospects and potential for widespread adoption in large-scale infrastructure development across sectors such as electricity, transportation, and construction.

[0016] 2. The present invention comprehensively considers the impact of soil, anchor and environmental factors on the bearing capacity of the foundation 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 able to effectively respond to 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 falls below the threshold, the system will promptly issue an early warning to remind maintenance personnel to take necessary measures to avoid foundation instability or catastrophic accidents. BRIEF DESCRIPTION OF THE DRAWINGS

[0017] Figure 1 This 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

[0018] The following will provide a clear and complete description of the technical solutions in the embodiments of the present invention in conjunction with the accompanying drawings. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. All other embodiments obtained by ordinary technicians in this field based on the embodiments of the present invention without making any creative efforts shall fall within the scope of protection of the present invention.

[0019] With the acceleration of urbanization and the booming development of infrastructure, the requirements for foundation engineering are increasing. Traditional single foundation forms often fail to meet these requirements, especially in areas with complex geological conditions and high load requirements. As a new foundation form, the pressure-bolted composite foundation forms a stable anchoring system through the interaction between the anchors and the surrounding soil. It offers advantages such as strong bearing capacity, convenient construction, and strong adaptability, and is gradually becoming one of the preferred foundation forms for large-scale infrastructure.

[0020] Currently, there are several foundation bearing capacity monitoring technologies on the market, but most suffer from low monitoring accuracy, insufficient data analysis capabilities, and low intelligence. This invention aims to provide a method for analyzing the vertical bearing capacity of a pressure-type anchor composite foundation based on intelligent perception to address these issues.

[0021] However, the vertical bearing capacity of pressure-type anchor composite foundations is affected by multiple factors, including geological conditions, anchor material properties, and construction techniques. Furthermore, it can vary during actual use due to environmental changes and loads. Therefore, accurately and in real time monitoring and analyzing the vertical bearing capacity of pressure-type anchor composite foundations has become a pressing issue in the engineering community.

[0022] Example 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:

[0023] S1, build an intelligent perception system, extract feature data from the collected data through the intelligent perception system and perform data processing.

[0024] In this embodiment, the intelligent perception system is constructed to extract feature data from the collected data and perform data processing, as follows:

[0025] The steps of constructing the intelligent perception system are as follows:

[0026] High-precision stress sensors, displacement sensors, and soil pressure sensors are deployed at key locations of the pressure-type anchor composite foundation to monitor the stress state of the anchors, displacement changes of the foundation, and pressure distribution of the surrounding soil in real time.

[0027] Transmit the data collected by the sensor to the data processing center via wired or wireless means to ensure the real-time and accuracy of the data;

[0028] Build an intelligent perception platform based on cloud computing and big data technologies to centrally store, manage and analyze data.

[0029] The intelligent sensing system is used to extract feature data from the collected data and perform data processing, specifically as follows:

[0030] The characteristic data include soil strength influence coefficient, anchor material performance coefficient and environmental influence coefficient, which are as follows:

[0031] Soil strength influence coefficient, 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 plastic 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 basis for engineering design and construction. Therefore, the soil strength influence coefficient is an important concept in the field of soil mechanics.

[0032] The steps for obtaining the soil strength influence coefficient are as follows:

[0033] Obtain soil samples from the area to be tested and perform a static penetration test on them. During the test, continuously increase the vertical pressure applied and record the vertical pressure and stress-strain relationship data. 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.

[0034] According to the vertical distance from the bottom of the foundation to the ground, that is, the foundation burial depth;

[0035] According to the foundation burial depth, the soil stress at the depth is measured to obtain the initial stress under the foundation;

[0036] 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 based on the bearing capacity, and the depth of the soil obtained corresponding to the standard bearing capacity is the standard depth under the foundation contact surface;

[0037] Measure the soil stress variation data at different depths in the test area, plot the variation data between depth and soil stress into a depth-soil stress curve, and find the peak value where the soil stress gradually decreases with increasing depth based on the curve to obtain the depth of the soil stress attenuation layer;

[0038] Conduct triaxial tests 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 a stress-strain curve, and calculate the slope of the stress-strain curve to obtain the elastic modulus of the soil;

[0039] 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.

[0040] The calculation formula of the soil strength influence coefficient is as follows:

[0041]

[0042] Where, 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 burial depth, is the standard depth below the foundation contact surface, is the stress attenuation layer depth of the soil, is the elastic coefficient of the soil, is the internal friction angle of the soil.

[0043] The anchor material performance coefficient (MPC) is a key indicator that comprehensively reflects the effectiveness of the anchor material, design, and its interaction with the soil. It is calculated using a specific formula based on the anchor's elastic modulus, cross-sectional area, length, diameter, and radius of the soil contact surface. The MPC not only considers the strength and stiffness of the anchor itself but also incorporates the effects of friction at the anchor-soil interface, thereby comprehensively assessing the anchor's contribution to the foundation's bearing capacity. In geotechnical engineering, the accurate calculation and application of this coefficient is crucial to ensuring structural safety.

[0044] The steps for obtaining the anchor material performance coefficient are as follows:

[0045] 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 using a tensile testing machine, and record the length change data of the anchor material under different tensions;

[0046] According to the length change data of the anchor material, the strain data is obtained based on the strain formula;

[0047] Obtain the initial cross-sectional area of ​​the anchor material to be tested, and calculate stress data based on the stress formula according to the initial cross-sectional area and the applied tensile force;

[0048] According to the stress data and strain data, the elastic modulus of the anchor material is calculated based on the elastic modulus formula;

[0049] 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.

[0050] The calculation formula of the anchor material performance coefficient is as follows:

[0051]

[0052] Where, 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.

[0053] The environmental impact factor (EIF) is a key parameter used to assess the impact of environmental conditions (primarily temperature and humidity) on the vertical bearing capacity of foundations. This factor comprehensively considers the effects of both temperature and humidity sensitivity, incorporating the difference between ambient and standard temperatures and soil moisture levels through a mathematical formula. It reflects the potential impact of temperature fluctuations on soil physical and chemical properties and material performance, as well as the importance of humidity changes on soil strength and anchor durability. It provides a crucial basis for environmental correction in structural engineering design and foundation bearing capacity assessment.

[0054] The steps for obtaining the environmental impact coefficient are as follows:

[0055] 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. Based on the relationship data between temperature and soil shear strength, the temperature sensitivity coefficient is obtained through regression analysis;

[0056] Obtain historical meteorological temperature data of the area to be measured, obtain a temperature range based on the meteorological temperature data, and select a temperature as the standard temperature based on the temperature range;

[0057] Prepare multiple sets of soil materials and anchor rods in the test area, control the moisture of the test soil, bury the anchor rods in soils with different moisture levels, and perform aging test methods to accelerate the test;

[0058] 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;

[0059] According to the variation data between humidity and anchor shear strength, the humidity sensitivity coefficient was obtained based on linear regression analysis;

[0060] The ambient temperature and soil humidity of the test area are obtained, and the environmental impact coefficient is calculated based on the temperature sensitivity coefficient, standard temperature, ambient temperature, humidity sensitivity coefficient and soil humidity based on a preset environmental impact coefficient formula to obtain the environmental impact coefficient.

[0061] The calculation formula of the environmental impact coefficient is as follows:

[0062]

[0063] Where, is the environmental impact coefficient, is the temperature sensitivity coefficient, is the ambient temperature, is the standard temperature, is the humidity sensitivity coefficient, It is the moisture of the soil.

[0064] S2. Constructing a bearing capacity intelligent analysis model based on the characteristic data, structural mechanics principles, geotechnical mechanics theory, and artificial intelligence algorithms.

[0065] In this embodiment, the bearing capacity intelligent analysis model is constructed based on the characteristic data, structural mechanics principles, geotechnical mechanics theory, and artificial intelligence algorithms, as follows:

[0066] 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;

[0067] The calculation formula of the bearing capacity intelligent analysis model is as follows:

[0068]

[0069] Where, is the bearing capacity assessment coefficient, is the soil strength influence coefficient, is the anchor material performance coefficient, is the environmental impact coefficient.

[0070] It should be noted that if the bearing capacity assessment coefficient is large, the vertical bearing capacity of the foundation will be higher. Specifically, if the soil has strong bearing capacity, 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 if the soil has poor bearing capacity, the anchor material is poor, and the environment is unfavorable), the vertical bearing capacity will be low, which may lead to foundation failure or insufficient bearing capacity, and fail to meet design requirements.

[0071] S3, input the carrying capacity intelligent analysis model according to the real-time monitoring results, obtain the analysis results, and set the early warning threshold.

[0072] In this embodiment, the real-time monitoring results are input into the carrying capacity intelligent analysis model to obtain analysis results and set warning thresholds, as follows:

[0073] 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 the initial stress under the foundation, the depth of the stress attenuation layer of the soil, the elastic modulus of the anchor material, the ambient temperature, and the soil humidity;

[0074] Input the extracted characteristic variable data into the carrying capacity intelligent analysis model to obtain analysis results and set early warning thresholds;

[0075] 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.

[0076] The above formulas are all dimensionless and numerical calculations. The formulas are obtained by collecting a large amount of data and performing software simulation to obtain the most recent real situation. The preset parameters in the formulas are set by technicians in this field according to actual conditions.

[0077] The above embodiments may be implemented in whole or in part through software, hardware, firmware, or any other combination thereof. When implemented using software, the above embodiments may be implemented in whole or in part in the form of a computer program product.

[0078] Those skilled 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 beyond the scope of this application.

[0079] 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.

[0080] The above description is merely a specific embodiment of the present application, but the scope of protection of the present application is not limited thereto. Any changes or substitutions that can be easily conceived by a person skilled in the art within the technical scope disclosed in this application should be included in the scope of protection of this application. Therefore, the scope of protection of this application should be based on the scope of protection of the claims.

[0081] 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 scope of protection 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 perform data processing; Based on the characteristic data, an intelligent bearing capacity analysis model is constructed based on the principles of structural mechanics, geotechnical mechanics theory and artificial intelligence algorithms. The characteristic data includes the soil strength influence coefficient, the anchor material performance coefficient and the environmental influence coefficient. Input the carrying capacity intelligent analysis model based on the real-time monitoring results to obtain the analysis results and set the warning threshold; The calculation formula of soil strength influence coefficient is as follows: Where, 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 burial depth, is the standard depth below the foundation contact surface, is the stress attenuation layer depth of the soil, is the elastic coefficient of the soil, is the internal friction angle of the soil; The calculation formula of the anchor material performance coefficient is as follows: Where, 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; The calculation formula of the environmental impact coefficient is as follows: Where, is the environmental impact coefficient, is the temperature sensitivity coefficient, is the ambient temperature, is the standard temperature, is the humidity sensitivity coefficient, is the moisture content of the soil; The calculation formula of the bearing capacity intelligent analysis model is as follows: Where, is the bearing capacity assessment coefficient, is the soil strength influence coefficient, is the anchor material performance coefficient, is the environmental impact coefficient.

2. The intelligent perception and analysis method for the vertical bearing capacity of a pressure-type anchor composite foundation according to claim 1 is characterized in that: The steps of constructing the intelligent perception system are as follows: High-precision stress sensors, displacement sensors, and soil pressure sensors are deployed at key locations of the pressure-type anchor composite foundation to monitor the stress state of the anchors, displacement changes of the foundation, and pressure distribution of the surrounding soil in real time. Transmit the data collected by the sensor to the data processing center via 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-type anchor composite foundation according to claim 2 is characterized in that: The steps for obtaining the soil strength influence coefficient are as follows: Obtain soil samples from the area to be tested and perform a static penetration test on them. During the test, continuously increase the vertical pressure applied and record the vertical pressure and stress-strain relationship data. 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, the soil stress at the depth is measured to 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 based on the bearing capacity, and the depth of the soil obtained corresponding to the standard bearing capacity is the standard depth under the foundation contact surface; Measure the soil stress variation data at different depths in the test area, plot the variation data between depth and soil stress into a depth-soil stress curve, and find the peak value where the soil stress gradually decreases with increasing depth based on the curve to obtain the depth of the soil stress attenuation layer; Conduct triaxial tests 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 a stress-strain curve, and calculate the slope of the stress-strain curve to obtain the elastic modulus 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-type anchor composite foundation according to claim 3 is characterized in that: 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 using 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; Obtain the initial cross-sectional area of ​​the anchor material to be tested, and calculate stress data based on the stress formula according to the initial cross-sectional area and the applied tensile force; 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-type anchor composite foundation according to claim 4 is characterized in that: 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. Based on the relationship data between temperature and soil shear strength, the temperature sensitivity coefficient is obtained through regression analysis; Obtain historical meteorological temperature data of the area to be measured, 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 sets of soil materials and anchor rods in the test area, control the moisture of the test soil, bury the anchor rods in soils with different moisture levels, 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 anchor shear strength, the humidity sensitivity coefficient was obtained based on linear regression analysis; The ambient temperature and soil humidity of the test area are obtained, and the environmental impact coefficient is calculated based on the temperature sensitivity coefficient, standard temperature, ambient temperature, humidity sensitivity coefficient and soil humidity based on a preset environmental impact coefficient formula to obtain the environmental impact coefficient.

6. The intelligent perception and analysis method for the vertical bearing capacity of a pressure-type anchor composite foundation according to claim 5 is characterized in that: The real-time monitoring results are input into the carrying capacity intelligent analysis model to obtain analysis results and set warning thresholds, 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 the initial stress under the foundation, the depth of the stress attenuation layer of the soil, the elastic modulus of the anchor material, the ambient temperature, and the soil humidity; Input the extracted characteristic variable data into the carrying capacity intelligent analysis model to obtain analysis results and set early warning thresholds; 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.

Images