Intelligent sensing test model and method for vertical bearing capacity of pressure type anchor rod foundation

Abstract

The invention discloses an intelligent sensing test model and method for the vertical bearing capacity of a pressure type anchor rod foundation, and relates to the field of civil engineering, and the method comprises the steps: integrating a high-precision sensor at a key position of to-be-tested equipment, collecting the data of the to-be-tested equipment through the sensor, and extracting characteristic parameters; according to the characteristic parameters, an evaluation model of the vertical bearing capacity of the pressure type anchor rod foundation is constructed based on an artificial intelligence algorithm, and evaluation data of the vertical bearing capacity of the pressure type anchor rod foundation are obtained; a feedback analysis mechanism is established according to evaluation data of the vertical bearing capacity of the pressure type anchor rod foundation, and when the evaluation data is abnormal, the system automatically triggers an early warning mechanism and gives an optimization scheme. The problem that a test model, intelligent sensing and feedback analysis are not integrated when the vertical bearing capacity of the pressure type anchor rod foundation is evaluated is solved.

Description

Technical Field

[0001] The invention relates to the technical field of civil engineering, and in particular to an intelligent perception test model and method for the vertical bearing capacity of a pressure-type anchor foundation. Background Art

[0002] With the rapid development of infrastructure construction, pressure anchor foundations have been widely used in the fields of electricity, transportation, water conservancy, etc. due to their strong bearing capacity, convenient construction, and good economy. However, the vertical bearing capacity of anchor foundations is affected by many factors, such as geological conditions, anchor material properties, construction technology, etc., and may change during actual use due to environmental changes and load effects. Therefore, how to accurately evaluate the vertical bearing capacity of anchor foundations and ensure their safe and reliable operation has become the focus of attention in the engineering community.

[0003] Disadvantages of existing technology: Traditional bearing capacity assessment methods mostly rely on empirical formulas, field tests or numerical simulations, and have problems such as long assessment cycles, high costs, and limited accuracy. In recent years, with the rapid development of sensor technology, data processing and artificial intelligence technology, it has become possible to intelligently perceive the vertical bearing capacity of anchor foundations. However, there is still a lack of a comprehensive solution that integrates test models, intelligent perception and feedback analysis on the market; therefore, the present invention provides a test model and method for intelligent perception of the vertical bearing capacity of pressure-type anchor foundations, which solves the problem of the incompatibility of test models, intelligent perception and feedback analysis when evaluating the vertical bearing capacity of pressure-type anchor foundations.

[0004] 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 test model and method for the vertical bearing capacity of a pressure-type anchor foundation. Through the intelligent perception test model and method for the vertical bearing capacity of a pressure-type anchor foundation, the problem of inconsistency between the test model, intelligent perception and feedback analysis when evaluating the vertical bearing capacity of a pressure-type anchor foundation is solved.

[0006] To achieve the above object, the present invention provides the following technical solutions: The intelligent perception test model and method for the vertical bearing capacity of a pressure-type anchor foundation include the following steps: integrating high-precision sensors at key positions of the equipment to be tested, collecting data of the equipment to be tested through the sensors, and extracting characteristic parameters; constructing an evaluation model for the vertical bearing capacity of the pressure-type anchor foundation based on an artificial intelligence algorithm according to the characteristic parameters, and obtaining evaluation data for the vertical bearing capacity of the pressure-type anchor foundation; establishing a feedback analysis mechanism based on the evaluation data of the vertical bearing capacity of the pressure-type anchor foundation, and when the evaluation data is abnormal, the system automatically triggers an early warning mechanism and provides an optimization plan.

[0007] In a preferred embodiment, In a preferred embodiment, the characteristic parameters include a construction process influence coefficient, and the steps for obtaining the construction process influence coefficient are as follows: during the grouting construction process, monitor and record the grouting pressure at each stage and the trend of pressure change during the grouting process; according to the trend curve of pressure change, extract the peak and valley values ​​in the curve chart and add and average them to obtain a grouting pressure; gradually apply vertical pressure to the anchor rod to be tested and record the bearing capacity of the anchor rod until it reaches the destruction and critical bearing state, and obtain the maximum bearing pressure; gradually apply tension to the anchor rod to be tested, and record the tension when cracks appear in the anchor rod under the action of tension, that is, the maximum design tension; conduct a comprehensive quality assessment of the drilling quality, grouting quality, and grouting quality during the construction process to obtain a construction quality factor; obtain the tension borne by the anchor rod and the anchor rod burial depth, and input the above-mentioned grouting pressure, maximum bearing pressure, maximum design tension, construction quality factor, tension borne by the anchor rod and anchor rod burial depth into a preset construction process influence coefficient formula to obtain the output result of the construction process influence coefficient.

[0008] In a preferred embodiment, the characteristic parameters include an influence coefficient of anchor material performance, and the steps for obtaining the influence coefficient of anchor material performance are as follows: a hydraulic jack device is used to apply a gradually increasing tensile load to the anchor, and while applying the load, the displacement of the anchor and the applied load are monitored in real time, the load and displacement data are recorded, and the recorded load and displacement data are plotted into a curve; the shape of the curve reflects the behavior of the anchor, including the elastic stage, the yield stage and the limit state, and in the limit state, the curve reaches the maximum load value, that is, the stress peak; a tensile test is performed on the anchor to be tested to obtain the yield strength of the anchor material; before applying the load, the base is recorded. The initial displacement data of the foundation is used as the reference point for subsequent comparison; the measurement frequency is set to regularly record the basic displacement data at the set time interval, the displacement data of each measurement is recorded, and compiled into a table, and the displacement change in each time period is calculated by the ratio of the displacement change to the time change to obtain the basic displacement rate; the maximum displacement rate in the measurement time period is found through the basic displacement rate data; the length and diameter of the anchor rod are obtained, and the above-mentioned stress peak value, the yield strength of the anchor rod material, the basic displacement rate, the maximum displacement rate, the length and diameter of the anchor rod are input into the preset anchor rod material performance influence coefficient formula to calculate the anchor rod material performance influence coefficient.

[0009] In a preferred embodiment, the characteristic parameters include a soil pressure gradient, and a specific method for obtaining the soil pressure gradient is as follows: determine the type of soil to be measured and the depth range in which it is located, set up monitoring wells and install pressure sensors, and obtain pressure data at different depths; before applying any additional loads or interference, record the initial soil pressure at each depth as baseline data; regularly record the pressure data at each depth to observe the pressure changes over time; perform multi-point measurements to ensure that there are data at different depths; and calculate the pressure gradient based on the pressure changes at different depths.

[0010] In a preferred embodiment, the specific process of establishing a feedback analysis mechanism based on the evaluation data of the vertical bearing capacity of the pressure-type anchor foundation is as follows: the evaluation data of the vertical bearing capacity of the pressure-type anchor foundation is compared with a preset evaluation threshold. When the evaluation data of the vertical bearing capacity of the pressure-type anchor foundation is greater than the preset evaluation threshold, the vertical bearing capacity of the pressure-type anchor foundation is good, and no optimization maintenance is required, and continuous testing is performed; when the evaluation data of the vertical bearing capacity of the pressure-type anchor foundation is less than the preset evaluation threshold, the early warning mechanism is automatically triggered.

[0011] In a preferred embodiment, the optimization scheme is provided as follows: before providing the optimization scheme, a database is constructed based on historical problems, historical data changes, and problem-solving methods; when the feedback analysis mechanism is triggered, the database is automatically matched based on real-time evaluation results and key data to provide optimization suggestions; if the user adopts the reinforcement measures recommended by the system, the system re-evaluates the bearing capacity after reinforcement, and updates the warning threshold and optimization suggestions.

[0012] Technical effects and advantages of the intelligent perception test model and method for vertical bearing capacity of pressure-type anchor foundation of the present invention: The present invention has high-precision monitoring and evaluation capabilities, integrates high-precision sensors and advanced data processing technology, realizes real-time monitoring and accurate evaluation of the vertical bearing capacity of the anchor foundation, and is conducive to improving the evaluation accuracy and reliability; it has an intelligent decision support system, based on artificial intelligence technology and a large amount of historical data, to provide users with scientific and reasonable decision support, reducing the difficulty and risk of decision-making; it has dynamic adjustment and optimization capabilities, the system can dynamically adjust and optimize according to real-time monitoring data and user feedback, to ensure the timeliness and accuracy of decision support; it has multi-scenario application modules and adaptability, the system is designed with multi-scenario application modes, and has certain adaptive capabilities, and can be widely used in different types of anchor foundation projects.

[0013] The intelligent perception test model of the vertical bearing capacity of the pressure-type anchor foundation and the feedback analysis method thereof provided by the present invention have broad application prospects in the field of civil engineering technology; the method is not only applicable to anchor foundation projects in infrastructure fields such as electricity, transportation, and water conservancy, but can also be expanded to fields such as slope stability and underground space development; through real-time monitoring, precise evaluation and intelligent feedback, the method can effectively improve the scientificity and efficiency of engineering design, construction and later maintenance, reduce engineering risks and costs, and promote the intelligent development of civil engineering technology; the system has a certain adaptive ability, can perform self-learning and optimization in new engineering scenarios, and improve the evaluation accuracy and effectiveness of decision support. BRIEF DESCRIPTION OF THE DRAWINGS

[0014] Figure 1 The present invention provides an intelligent perception test model and method for the vertical bearing capacity of a pressure-type anchor foundation.

[0015] Figure 2 The vertical bearing capacity intelligent perception test model structure of the pressure-type anchor foundation of the present invention is given. DETAILED DESCRIPTION

[0016] 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.

[0017] Embodiment 1, Figure 1 The present invention provides an intelligent perception test model and method for the vertical bearing capacity of a pressure-type anchor foundation.

[0018] S10, integrating high-precision sensors at key positions of the device under test, collecting data of the device under test through the sensors, and extracting characteristic parameters.

[0019] In this embodiment, high-precision sensors are integrated at key positions of the device under test, and data of the device under test is collected through the sensors, as follows: Install stress sensors at different depths of the anchor to obtain stress change data of the anchor; Install displacement sensors on the top and around the foundation to obtain displacement change data of the foundation; Earth pressure sensors are installed at the bottom of the foundation and in the surrounding soil to obtain soil pressure distribution data.

[0020] In this embodiment, the feature parameters are extracted as follows: The characteristic parameters include the construction process influence coefficient, the anchor material performance influence coefficient and the soil pressure gradient; The steps for obtaining the construction process influence coefficient are as follows: During the grouting construction process, monitor and record the grouting pressure at each stage and the trend of pressure changes during the grouting process; According to the trend curve of pressure change, the peak value and valley value in the curve are extracted and averaged to obtain a grouting pressure; Apply vertical pressure gradually to the anchor to be tested and record the bearing capacity of the anchor until it reaches the destruction and critical bearing state to obtain the maximum bearing pressure; Gradually apply tension to the anchor rod to be tested, and record the tension when cracks appear in the anchor rod under the tension, which is the maximum design tension; Comprehensive quality assessment of drilling quality, grouting quality and grouting quality during construction is conducted to obtain construction quality factors; Obtain the tension and buried depth of the anchor rod, input the above grouting pressure, maximum bearing pressure, maximum design tension, construction quality factor, tension and buried depth of the anchor rod into the preset construction process influence coefficient formula, and obtain the output result of the construction process influence coefficient.

[0021] The calculation formula of the construction process influence coefficient is as follows:

[0022] In the formula, is the construction process influence coefficient, is the grouting pressure, To withstand the maximum pressure, is the tension on the anchor rod, is the maximum design tension, is the construction quality factor, is the anchor depth, , and is the adjustment constant factor.

[0023] The steps for obtaining the anchor material performance influence coefficient are as follows: A hydraulic jack device is used to apply a gradually increasing tensile load on the anchor rod. While applying the load, the displacement of the anchor rod and the applied load are monitored in real time, the load and displacement data are recorded, and the recorded load and displacement data are plotted into a curve; The shape of the curve reflects the behavior of the anchor, including the elastic stage, the yield stage and the limit state, in which the curve reaches the maximum load value, i.e. the stress peak; Conduct a tensile test on the anchor to be tested to obtain the yield strength of the anchor material; Before applying the load, record the initial displacement data of the foundation as a reference point for subsequent comparison; Set the measurement frequency to record the basic displacement data regularly at the set time interval, record the displacement data of each measurement, organize it into a table, calculate the displacement change in each time period by the ratio of displacement change to time change, and get the basic displacement rate; Using the basic displacement rate data, find the maximum displacement rate during the measurement period; Obtain the length and diameter of the anchor rod, input the above stress peak, yield strength of the anchor rod material, basic displacement rate, maximum displacement rate, length and diameter of the anchor rod into the preset anchor rod material performance influence coefficient formula to calculate the anchor rod material performance influence coefficient.

[0024] The calculation formula of the anchor material performance influence coefficient is as follows:

[0025] In the formula, is the influence coefficient of anchor material performance, is the peak stress of the anchor rod, is the yield strength of the anchor material, is the anchor diameter, is the anchor length, is the basic displacement rate, is the maximum displacement rate, and is the adjustment constant factor.

[0026] The specific method for obtaining the soil pressure gradient is as follows: Determine the soil type (such as clay, sand, etc.) to be measured and its depth range; Select measurement equipment: Use soil pressure gauges, pore water pressure gauges (such as mercury intrusion gauges or resistance pressure gauges) to measure the pressure in the soil, and set up monitoring wells to obtain pressure data at different depths; Drilling and sampling: Drilling and sampling at target locations to understand soil characteristics; Install the pressure sensor: Install the pressure sensor or pore water pressure gauge to the desired depth, ensuring that the equipment is stable and undisturbed; Record initial pressure: Record the initial soil pressure at each depth before applying any additional loads or disturbances; Natural state monitoring: recording the pore water pressure or effective pressure of the soil in its natural state; Apply additional loads (e.g. earthwork, building loads) to observe their effect on the pressure gradient; According to the plan, record pressure data regularly to observe pressure changes over time; Conduct multi-point measurements to ensure data is available at different depths; Pressure gradient calculation: Calculate the pressure gradient based on the pressure changes at different depths.

[0027] Furthermore, it should be noted that a higher peak stress value of the anchor usually indicates that the anchor can bear a larger load, thereby enhancing the vertical bearing capacity of the foundation. A higher peak stress value means a stronger bond between the anchor and the surrounding soil, which helps to improve the overall stability. A high rate of foundation displacement means that the foundation is experiencing large deformations or instability, which may reduce the vertical bearing capacity. Rapid displacement may indicate that the bearing capacity of the soil or anchors is decreasing, or that adverse deformation effects are occurring. Excessively high ground pressure gradients can lead to soil instability or soil liquefaction, thereby reducing bearing capacity. Therefore, its impact needs to be analyzed in combination with specific soil conditions and construction environment.

[0028] S20, constructing an evaluation model for the vertical bearing capacity of the pressure-type anchor foundation based on an artificial intelligence algorithm according to the key characteristic parameters, and obtaining evaluation data for the vertical bearing capacity of the pressure-type anchor foundation; The specific calculation formula for the evaluation data of the vertical bearing capacity of the pressure anchor foundation is as follows:

[0029] In the formula, is the evaluation result of the vertical bearing capacity of the pressure anchor foundation, Y is the influence coefficient of the anchor material performance, K is the influence coefficient of the construction process, and R is the soil pressure gradient; Obtaining the vertical bearing capacity assessment data of the pressure anchor foundation is of great significance for engineering design and safety assessment. The following is a detailed analysis of its role: 1. Basis of bearing capacity assessment Safety assessment: Understanding the vertical bearing capacity of the anchor foundation is the basis for assessing the safety of the structure. Insufficient bearing capacity may lead to foundation failure or structural sinking; Design basis: Bearing capacity data provides the basis for foundation design, ensuring that the designed anchor foundation can meet the needs of the project; 2. Engineering design optimization Material selection and construction plan: By evaluating the data, appropriate materials and construction methods can be selected to improve the bearing capacity and economy of the foundation; Anchor arrangement: Based on the bearing capacity assessment, the position and number of anchors can be reasonably arranged to obtain the best bearing effect; 3. Construction monitoring and adjustment Dynamic monitoring: During the construction process, the bearing capacity data can be monitored in real time to evaluate the construction quality and adjust the construction plan in time; Risk prevention: Monitoring of bearing capacity can detect potential risks during the construction process and avoid accidents.

[0030] 4. Long-term performance evaluation Durability analysis: Over time, soil properties and environmental factors may affect bearing capacity. Regular assessment of bearing capacity can determine the long-term performance of the anchor foundation. Maintenance decision-making: Based on bearing capacity data, rationally arrange maintenance and reinforcement measures to extend the service life of the foundation; 5. Soil-structure interaction analysis Optimize design: The evaluation data helps to understand the interaction between soil and structure and optimize the structural design to improve the overall stability; Reduce uncertainty: Through detailed load-bearing capacity assessment, uncertainty in the design process can be reduced and engineering risks can be lowered; The vertical bearing capacity assessment data of pressure-type anchor foundation plays an important role in the entire life cycle of the project, involving safety, design optimization, construction monitoring, long-term maintenance and economic benefits. These data not only ensure the safety and stability of the project, but also provide support for the economy and sustainable development of the project.

[0031] S30, based on the evaluation data of the vertical bearing capacity of the pressure anchor foundation, a feedback analysis mechanism is established. When the evaluation data is abnormal, the system automatically triggers the early warning mechanism and gives an optimization plan.

[0032] In this embodiment, a feedback analysis mechanism is established based on the evaluation data of the vertical bearing capacity of the pressure anchor foundation. When the evaluation data is abnormal, the system automatically triggers an early warning mechanism, as follows: The evaluation data of the vertical bearing capacity of the pressure-type anchor foundation is compared with the preset evaluation threshold. When the evaluation data of the vertical bearing capacity of the pressure-type anchor foundation is greater than the preset evaluation threshold, the vertical bearing capacity of the pressure-type anchor foundation is good, and no optimization maintenance is required, and continuous testing is carried out; when the evaluation data of the vertical bearing capacity of the pressure-type anchor foundation is less than the preset evaluation threshold, the early warning mechanism is automatically triggered, optimization maintenance is required, and an optimization plan is given.

[0033] The user-friendly interface displays the evaluation results in real time, allowing users to intuitively understand the operating status and bearing performance of the anchor foundation; Based on the evaluation results and feedback analysis mechanism, scientific and reasonable decision-making support is provided to users, including suggestions on optimizing design schemes, adjusting construction processes, strengthening monitoring measures, etc., to ensure the safe and reliable operation of the anchor foundation.

[0034] Establishing a feedback analysis mechanism based on the vertical bearing capacity assessment data of pressure anchor foundation plays an important role in improving the safety and reliability of the project. The following are its main functions: 1. Real-time monitoring and adjustment Dynamic feedback: By collecting and analyzing load-bearing capacity data in real time, potential problems such as load-bearing capacity decline or abnormal changes can be discovered in a timely manner, and adjustment measures can be taken quickly; Construction process optimization: During the construction process, the layout and construction process of anchor bolts can be optimized based on feedback information to ensure that the foundation reaches the expected bearing capacity; 2. Security assurance Risk warning: The feedback mechanism can provide early warning of changes in foundation bearing capacity, and timely take remedial measures to reduce safety risks; Accident prevention: Through continuous monitoring and analysis, actions can be taken before problems occur, thus preventing foundation failures and related accidents; 3. Data-driven decision support Scientific decision-making: The feedback mechanism is based on data analysis to provide decision-making support for project managers to ensure that the design and construction are in line with the actual situation; Optimize resource allocation: According to feedback data, rationally arrange resources (such as manpower, materials, etc.) to improve engineering efficiency; 4. Continuous improvement and learning Experience accumulation: Through the analysis of bearing capacity assessment data, effective construction and management experience can be summarized to promote continuous improvement of technology; Feedback loop: Establish a feedback mechanism so that each construction and evaluation becomes the basis for the next optimization, forming a virtuous cycle; 5. Long-term performance monitoring Monitoring foundation health: Collect bearing capacity data over a long period of time, analyze the health of the foundation, discover and address problems in a timely manner, and extend the service life of the foundation; Maintenance and reinforcement decision-making: Based on long-term monitoring results, rationally arrange maintenance and reinforcement measures to improve the durability of the foundation; 6. Improve design accuracy Improve design model: Continuously optimize the design model through feedback data, reduce uncertainty in the design process, and improve design accuracy Adaptable design: Under different environments and conditions, adjust the design parameters to make the foundation adapt to the actual working conditions; The feedback analysis mechanism based on the vertical bearing capacity assessment data of pressure-type anchor foundation can effectively improve project safety, optimize design and construction, and achieve rational allocation of resources, while providing support for long-term performance monitoring and maintenance. This mechanism not only contributes to the successful implementation of the project, but also promotes the scientific and standardized management of the project.

[0035] In this embodiment, the optimization scheme is given as follows: Before providing an optimization plan, build a database based on historical problems, historical data changes, and problem-solving methods; When the feedback analysis mechanism is triggered, it automatically matches the database based on real-time evaluation results and key data to provide optimization suggestions; If the user takes the reinforcement measures recommended by the system, the system re-evaluates the bearing capacity after reinforcement and updates the warning threshold and optimization suggestions.

[0036] 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.

[0037] 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.

[0038] 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.

[0039] 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.

[0040] 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.

[0041] 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. Intelligent perception test model and method for vertical bearing capacity of pressure anchor foundation, characterized in that: The following steps are involved: Integrate high-precision sensors at key locations of the device under test, collect data from the device under test through the sensors, and extract characteristic parameters; According to the characteristic parameters, an evaluation model for the vertical bearing capacity of the pressure anchor foundation is constructed based on an artificial intelligence algorithm to obtain evaluation data for the vertical bearing capacity of the pressure anchor foundation; Based on the evaluation data of the vertical bearing capacity of the pressure-type anchor foundation, a feedback analysis mechanism is established. When the evaluation data is abnormal, the system automatically triggers the early warning mechanism and gives an optimization plan.

2. The intelligent perception test model and method for vertical bearing capacity of pressure anchor foundation according to claim 1 is characterized in that: The characteristic parameters include the construction process influence coefficient, and the steps for obtaining the construction process influence coefficient are as follows: During the grouting construction process, monitor and record the grouting pressure at each stage and the trend of pressure changes during the grouting process; According to the trend curve of pressure change, the peak value and valley value in the curve are extracted and averaged to obtain a grouting pressure; Apply vertical pressure gradually to the anchor to be tested and record the bearing capacity of the anchor until it reaches the destruction and critical bearing state to obtain the maximum bearing pressure; Gradually apply tension to the anchor rod to be tested, and record the tension when cracks appear in the anchor rod under the tension, which is the maximum design tension; Comprehensive quality assessment of drilling quality, grouting quality and grouting quality during construction is conducted to obtain construction quality factors; Obtain the tension and buried depth of the anchor rod, input the above grouting pressure, maximum bearing pressure, maximum design tension, construction quality factor, tension and buried depth of the anchor rod into the preset construction process influence coefficient formula, and obtain the output result of the construction process influence coefficient.

3. The intelligent perception test model and method for vertical bearing capacity of pressure anchor foundation according to claim 2 is characterized in that: The characteristic parameters include the anchor material performance influence coefficient, and the steps for obtaining the anchor material performance influence coefficient are as follows: A hydraulic jack device is used to apply a gradually increasing tensile load on the anchor rod. While applying the load, the displacement of the anchor rod and the applied load are monitored in real time, the load and displacement data are recorded, and the recorded load and displacement data are plotted into a curve; The shape of the curve reflects the behavior of the anchor, including the elastic stage, the yield stage and the limit state, in which the curve reaches the maximum load value, i.e. the stress peak; Conduct a tensile test on the anchor to be tested to obtain the yield strength of the anchor material; Before applying the load, record the initial displacement data of the foundation as a reference point for subsequent comparison; Set the measurement frequency to record the basic displacement data regularly at the set time interval, record the displacement data of each measurement, organize it into a table, calculate the displacement change in each time period by the ratio of displacement change to time change, and get the basic displacement rate; Using the basic displacement rate data, find the maximum displacement rate during the measurement period; Obtain the length and diameter of the anchor rod, input the above stress peak, yield strength of the anchor rod material, basic displacement rate, maximum displacement rate, length and diameter of the anchor rod into the preset anchor rod material performance influence coefficient formula to calculate the anchor rod material performance influence coefficient.

4. The intelligent perception test model and method for vertical bearing capacity of pressure anchor foundation according to claim 3 is characterized in that: The characteristic parameter includes soil pressure gradient, and the specific method for obtaining the soil pressure gradient is as follows: Determine the soil type and depth range to be measured, set up monitoring wells and install pressure sensors to obtain pressure data at different depths; Before applying any additional loads or disturbances, record the initial soil pressure at each depth as baseline data; Regularly record pressure data at each depth to observe pressure changes over time; Conduct multi-point measurements to ensure data is available at different depths; The pressure gradient is calculated based on the pressure changes at different depths.

5. The intelligent perception test model and method for vertical bearing capacity of pressure anchor foundation according to claim 4 is characterized in that: The specific process of establishing the feedback analysis mechanism based on the evaluation data of the vertical bearing capacity of the pressure anchor foundation is as follows: Compare the assessment data of the vertical bearing capacity of the pressure-type anchor foundation with the preset assessment threshold. When the assessment data of the vertical bearing capacity of the pressure-type anchor foundation is greater than the preset assessment threshold, the vertical bearing capacity of the pressure-type anchor foundation is good, and no optimization maintenance is required, and continuous testing is performed; When the assessment data of the vertical bearing capacity of the pressure-type anchor foundation is less than the preset assessment threshold, the early warning mechanism is automatically triggered.

6. The intelligent perception test model and method for vertical bearing capacity of pressure anchor foundation according to claim 5 is characterized in that: The optimization scheme is given as follows: Before providing an optimization plan, build a database based on historical problems, historical data changes, and problem-solving methods; When the feedback analysis mechanism is triggered, it automatically matches the database based on real-time evaluation results and key data to provide optimization suggestions; If the user takes the reinforcement measures recommended by the system, the system re-evaluates the bearing capacity after reinforcement and updates the warning threshold and optimization suggestions.

7. The intelligent perception test model and method for vertical bearing capacity of pressure anchor foundation according to claim 6 is characterized in that: The calculation formula of the construction process influence coefficient is as follows: In the formula, is the construction process influence coefficient, is the grouting pressure, To withstand the maximum pressure, is the tension on the anchor rod, is the maximum design tension, is the construction quality factor, is the anchor depth, , and is the adjustment constant factor.

8. The intelligent perception test model and method for vertical bearing capacity of pressure anchor foundation according to claim 7 is characterized in that: The calculation formula of the anchor material performance influence coefficient is as follows: In the formula, is the influence coefficient of anchor material performance, is the peak stress of the anchor rod, is the yield strength of the anchor material, is the anchor diameter, is the anchor length, is the basic displacement rate, is the maximum displacement rate, and is the adjustment constant factor.

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