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

Abstract

The application relates to the field of civil engineering and relates to an intelligent perception test model and method for vertical bearing capacity of a pressure type anchor rod foundation, which comprises the following steps: integrating high-precision sensors at key positions of a to-be-tested device, collecting data of the to-be-tested device through the sensors, and extracting characteristic parameters; constructing an evaluation model for vertical bearing capacity of the pressure type anchor rod foundation based on an artificial intelligence algorithm according to the characteristic parameters, and obtaining evaluation data of the vertical bearing capacity of the pressure type anchor rod foundation; and establishing a feedback analysis mechanism according to the evaluation data of the vertical bearing capacity of the pressure type anchor rod foundation, automatically triggering a warning mechanism when the evaluation data is abnormal, and giving an optimization scheme. The application solves the problem that the test model, intelligent perception and feedback analysis are not integrated when evaluating the vertical bearing capacity of the pressure type anchor rod foundation.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of civil engineering, in particular to a pressure-type anchor foundation vertical bearing capacity intelligent perception test model and method. BACKGROUND

[0002] With the rapid development of infrastructure construction, pressure-type anchor foundations are widely used in the fields of power, 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 the engineering community.

[0003] Problems in the Prior Art

[0004] Traditional bearing capacity evaluation methods rely on empirical formulas, field tests or numerical simulations, which have problems such as long evaluation period, high cost, limited precision, etc. In recent years, with the rapid development of sensor technology, data processing and artificial intelligence technology, intelligent perception of anchor foundation vertical bearing capacity has become possible. 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 application provides a pressure-type anchor foundation vertical bearing capacity intelligent perception test model and method, which solves the problem of the disintegration of test models, intelligent perception and feedback analysis in the evaluation of pressure-type anchor foundation vertical bearing capacity.

[0005] To solve the above problems, the present application provides a solution. SUMMARY

[0006] In order to overcome the above-mentioned defects of the prior art, the embodiments of the present application provide a pressure-type anchor foundation vertical bearing capacity intelligent perception test model and method, which solves the problem of the disintegration of test models, intelligent perception and feedback analysis in the evaluation of pressure-type anchor foundation vertical bearing capacity.

[0007] To achieve the above-mentioned purposes, the present application provides the following technical solutions:

[0008] The model and method for intelligently sensing vertical bearing capacity of pressure type anchor rod foundation comprises 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 of vertical bearing capacity of the pressure type anchor rod foundation based on artificial intelligence algorithm according to the characteristic parameters, and obtaining evaluation data of the vertical bearing capacity of the pressure type anchor rod foundation; establishing a feedback analysis mechanism according to the evaluation data of the vertical bearing capacity of the pressure type anchor rod foundation, automatically triggering a warning mechanism when the evaluation data is abnormal, and giving an optimization scheme.

[0009] In a preferred embodiment,

[0010] In a preferred embodiment, the characteristic parameters include a construction process influence coefficient, and the construction process influence coefficient is obtained by the following steps: monitoring and recording the grouting pressure of each stage and the trend of pressure change during the grouting construction process; according to the trend curve of pressure change, the peak value and the valley value in the curve are extracted and averaged to obtain a grouting pressure; gradually applying vertical pressure to the anchor rod to be tested and recording the bearing capacity of the anchor rod until the failure and critical bearing state are reached to obtain the maximum bearing pressure; gradually applying tension to the anchor rod to be tested and recording the tension when the anchor rod cracks under the action of tension, i.e. the maximum design tension; comprehensively evaluating the drilling quality, grouting quality and grouting quality during the construction process to obtain a construction quality factor; obtaining the tension borne by the anchor rod and the anchor rod depth, inputting the above grouting pressure, maximum bearing pressure, maximum design tension, construction quality factor, tension borne by the anchor rod and anchor rod depth into a preset construction process influence coefficient formula, and obtaining the output result of the construction process influence coefficient.

[0011] In a preferred embodiment, the characteristic parameters include an anchor rod material performance influence coefficient, and the obtaining step of the anchor rod material performance influence coefficient is specifically as follows: a hydraulic jack device is used to apply a gradually increasing tensile load on the anchor rod, the displacement of the anchor rod and the applied load are monitored in real time while the load is applied, 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 rod, including an elastic stage, a yield stage and a limit state, at the limit state, the curve reaches a maximum load value, i.e. a stress peak value; a tensile test is performed on the anchor rod to obtain the yield strength of the anchor rod material; before the load is applied, the initial displacement data of the foundation are recorded as a benchmark for subsequent comparison; the frequency of measurement is set to record the displacement data of the foundation at regular time intervals, the displacement data of each measurement is recorded, and is arranged into a table, the displacement change in each time period is calculated, and the foundation displacement rate is calculated by the ratio of the displacement change to the time change; the maximum displacement rate in the measurement time period is found through the foundation displacement rate data; the length and diameter of the anchor rod are obtained, and the stress peak value, the yield strength of the anchor rod material, the foundation displacement rate, the maximum displacement rate, the length and diameter of the anchor rod are input into a preset anchor rod material performance influence coefficient formula to calculate the anchor rod material performance influence coefficient.

[0012] In a preferred embodiment, the characteristic parameters include a soil pressure gradient, and the specific obtaining method of the soil pressure gradient is as follows: the type of soil to be measured and the depth range thereof are determined, a monitoring well is set, a pressure sensor is installed, and pressure data at different depths are obtained; the initial soil pressure at each depth is recorded as baseline data before any additional load is applied or interference is performed; the pressure data at each depth are recorded regularly to observe the pressure change over time; multi-point measurement is performed to ensure that there are data at different depths; and the pressure gradient is calculated according to the pressure change at different depths.

[0013] In a preferred embodiment, the specific process of establishing a feedback analysis mechanism according to the evaluation data of the vertical bearing capacity of the pressure-type anchor rod foundation is as follows: the evaluation data of the vertical bearing capacity of the pressure-type anchor rod foundation is compared with a preset evaluation threshold value, when the evaluation data of the vertical bearing capacity of the pressure-type anchor rod foundation is greater than the preset evaluation threshold value, the vertical bearing capacity of the pressure-type anchor rod foundation is good, and optimization and maintenance are not required, and continuous detection is performed; when the evaluation data of the vertical bearing capacity of the pressure-type anchor rod foundation is less than the preset evaluation threshold value, a pre-warning mechanism is automatically triggered.

[0014] In a preferred embodiment, the optimization scheme is given, specifically as follows: before the optimization scheme is given, a database is constructed according to historical problems, historical data changes and problem solving methods; after the feedback analysis mechanism is triggered, real-time evaluation results and key data are used to automatically match the database and provide optimization suggestions; if the user takes the reinforcement measures suggested by the system, the system re-evaluates the bearing capacity after reinforcement and updates the early warning threshold and optimization suggestions.

[0015] The technical effects and advantages of the pressure type anchor rod foundation vertical bearing capacity intelligent perception test model and method are as follows:

[0016] The application 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 rod foundation, and is beneficial to improving the evaluation accuracy and reliability; has an intelligent decision support system, based on artificial intelligence technology and a large amount of historical data, provides scientific and reasonable decision support for users, reduces the difficulty and risk of decision-making; has dynamic adjustment and optimization capabilities, the system can dynamically adjust and optimize according to real-time monitoring data and user feedback, ensuring the timeliness and accuracy of decision support; has multi-scenario application modules and adaptability, the system is designed with multiple application modes and has certain self-adaptation ability, and can be widely applied to different types of anchor rod foundation engineering.

[0017] The pressure type anchor rod foundation vertical bearing capacity intelligent perception test model and the feedback analysis method thereof provided by the application have wide application prospects in the field of civil engineering technology; the method is not only suitable for anchor rod foundation engineering in the fields of power, transportation, water conservancy and other infrastructure, but also can be applied to the fields of slope stability and underground space development; through real-time monitoring, accurate evaluation and intelligent feedback, the method can effectively improve the scientific nature and efficiency of engineering design, construction and post-maintenance, reduce engineering risks and costs, and promote the intelligent development of civil engineering technology; the system has certain self-adaptation ability and can learn and optimize itself in new engineering scenarios, improving the evaluation accuracy and effectiveness of decision support. BRIEF DESCRIPTION OF DRAWINGS

[0018] Figure 1 The pressure type anchor rod foundation vertical bearing capacity intelligent perception test model and the feedback analysis method thereof provided by the application are given.

[0019] Figure 2 The structure of the pressure type anchor rod foundation vertical bearing capacity intelligent perception test model is given. DETAILED DESCRIPTION

[0020] With reference to the accompanying drawings, the technical solutions in the embodiments of the present application will be clearly and completely described in order to make the technical solutions in the embodiments of the present application apparent to those skilled in the art. Obviously, the described embodiments are only a part but not all of the embodiments of the present application. Based on the embodiments in the present application, all other embodiments obtained by those of ordinary skill in the art without creative work shall fall within the protection scope of the present application.

[0021] Embodiment 1, Figure 1 The present application provides a pressure type anchor rod foundation vertical bearing capacity intelligent sensing test model and method.

[0022] S10, integrating a high-precision sensor at a key position of the to-be-tested equipment, collecting data of the to-be-tested equipment through the sensor, and extracting a characteristic parameter.

[0023] In the embodiment, the high-precision sensor is integrated at the key position of the to-be-tested equipment, and the data of the to-be-tested equipment is collected through the sensor, specifically as follows.

[0024] Stress sensors are installed at different depth positions of the anchor rod to obtain stress change data of the anchor rod;

[0025] Displacement sensors are installed at the top and around the foundation to obtain displacement change data of the foundation;

[0026] Soil pressure sensors are installed in the soil at the bottom and around the foundation to obtain pressure distribution data of the soil.

[0027] In the embodiment, the characteristic parameter is extracted, specifically as follows.

[0028] The characteristic parameter includes a construction process influence coefficient, an anchor rod material performance influence coefficient, and a soil pressure gradient;

[0029] The construction process influence coefficient is obtained through the following steps:

[0030] During the grouting construction process, the grouting pressure of each stage is monitored and recorded, and the pressure change trend during the grouting process is monitored;

[0031] According to the pressure change trend curve, the peak value and the valley value in the curve are extracted and averaged to obtain a grouting pressure;

[0032] The to-be-tested anchor rod is gradually subjected to vertical pressure, and the bearing capacity of the anchor rod is recorded until the failure and critical bearing state are reached, and the maximum bearing pressure is obtained;

[0033] The to-be-tested anchor rod is gradually subjected to tension, and the tension when the anchor rod cracks under the action of tension, i.e., the maximum design tension, is recorded;

[0034] The drilling quality, the grouting quality, and the grouting quality during the construction process are comprehensively evaluated to obtain a construction quality factor;

[0035] The grouting pressure, the maximum bearing pressure, the maximum design tension, the construction quality factor, the tension borne by the anchor rod and the anchor rod depth are input into the preset construction process influence coefficient formula to obtain an output result of the construction process influence coefficient.

[0036] The calculation formula of the construction process influence coefficient is specifically as follows:

[0037]

[0038] In the formula, is the construction process influence coefficient, is the grouting pressure, is the maximum bearing pressure, is the tension borne by the anchor rod, is the maximum design tension, is the construction quality factor, is the anchor rod depth, , and are adjustment constant factors.

[0039] The obtaining step of the anchor rod material performance influence coefficient is specifically as follows:

[0040] A hydraulic jack device is used to apply a gradually increasing tensile load on the anchor rod, and the displacement of the anchor rod and the applied load are monitored in real time while the load is applied, the load and displacement data are recorded, and the recorded load and displacement data are plotted into a curve;

[0041] The shape of the curve reflects the behavior of the anchor rod, including an elastic stage, a yield stage and a limit state, and in the limit state, the curve reaches a maximum load value, i.e., a stress peak value;

[0042] A tensile test is performed on the anchor rod to be tested to obtain the yield strength of the anchor rod material;

[0043] Before the load is applied, the initial displacement data of the foundation are recorded as a benchmark for subsequent comparison;

[0044] The frequency of measurement is set to record the displacement data of the foundation at regular time intervals, and the displacement data of each measurement are recorded and arranged 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 foundation displacement rate;

[0045] The maximum displacement rate in the measurement time period is found through the foundation displacement rate data;

[0046] The length and diameter of the anchor rod are obtained, and the stress peak value, the yield strength of the anchor rod material, the base displacement rate, the maximum displacement rate, the length and diameter of the anchor rod are input into a preset anchor rod material performance influence coefficient formula to calculate, so as to obtain the anchor rod material performance influence coefficient.

[0047] The calculation formula of the anchor rod material performance influence coefficient is as follows:

[0048]

[0049] In the formula, is the anchor rod material performance influence coefficient, is the stress peak value of the anchor rod, is the yield strength of the anchor rod material, is the diameter of the anchor rod, is the length of the anchor rod, is the base displacement rate, is the maximum displacement rate, and is an adjustment constant factor.

[0050] The specific method for obtaining the soil pressure gradient is as follows:

[0051] Determine the type of soil to be measured (such as clay, sand, etc.) and its depth range;

[0052] Select measurement equipment: use soil pressure gauges, pore water pressure gauges (such as mercury pressure gauges or resistance pressure gauges) to measure the pressure in the soil, set up monitoring wells to obtain pressure data at different depths;

[0053] Drilling and sampling: drill at the target site and take samples to understand the soil properties;

[0054] Install pressure sensors: install pressure sensors or pore water pressure gauges to the predetermined depth, ensuring that the equipment is stable and not disturbed;

[0055] Record initial pressure: record the initial soil pressure at each depth before applying any additional load or interference;

[0056] Natural state monitoring: record the pore water pressure or effective pressure of the soil in the natural state;

[0057] Apply additional loads (such as earthwork construction, building loads) to observe their impact on the pressure gradient;

[0058] According to the plan, record pressure data regularly to observe the changes in pressure over time;

[0059] Take multiple measurements to ensure that there are data at different depths;

[0060] Pressure gradient calculation: Calculate the pressure gradient according to the pressure change at different depths.

[0061] Further, it should be noted that the higher the stress peak of the anchor rod, the more load the anchor rod can withstand, thereby enhancing the vertical bearing capacity of the foundation. Higher stress peak means stronger adhesion between the anchor rod and the surrounding soil, which helps improve overall stability;

[0062] High foundation displacement rate means that the foundation is experiencing large deformation or instability, which may reduce the vertical bearing capacity. Rapid displacement may indicate that the bearing capacity of the soil or anchor rod is decreasing, or that there is an adverse deformation effect;

[0063] Excessive land pressure gradient can lead to soil instability or soil liquefaction, thereby reducing the bearing capacity, so its impact needs to be analyzed in combination with specific soil conditions and construction environment.

[0064] S20, according to the key feature parameters, based on artificial intelligence algorithm to build the evaluation model of the vertical bearing capacity of the pressure type anchor rod foundation, and get the evaluation data of the vertical bearing capacity of the pressure type anchor rod foundation;

[0065] The specific calculation formula of the evaluation data of the vertical bearing capacity of the pressure type anchor rod foundation is as follows:

[0066]

[0067] In the formula, is the evaluation result of the vertical bearing capacity of the pressure type anchor rod foundation, Y is the material performance influence coefficient of the anchor rod, K is the construction process influence coefficient, and R is the soil pressure gradient;

[0068] The vertical bearing capacity evaluation data of the pressure type anchor rod foundation is of great significance to engineering design and safety evaluation. The following is a detailed analysis of its role:

[0069] 1. Foundation of bearing capacity evaluation

[0070] Safety evaluation: Understanding the vertical bearing capacity of the anchor rod foundation is the basis for evaluating the safety of the structure. Insufficient bearing capacity may lead to foundation failure or structure subsidence;

[0071] Design basis: Bearing capacity data provides a basis for foundation design, ensuring that the designed anchor rod foundation can meet engineering needs;

[0072] 2. Engineering design optimization

[0073] Material selection and construction scheme: Through evaluation data, appropriate materials and construction methods can be selected to improve the bearing capacity and economy of the foundation;

[0074] Anchor arrangement: Based on the bearing capacity assessment, the position and number of anchor rods can be reasonably arranged to achieve the best bearing effect;

[0075] 3. Construction monitoring and adjustment

[0076] Dynamic monitoring: During construction, real-time monitoring of bearing capacity data can be used to evaluate construction quality and adjust construction plans in a timely manner;

[0077] Prevent risks: Monitoring of bearing capacity can discover potential risks during construction to avoid accidents.

[0078] 4. Long-term performance evaluation

[0079] Durability analysis: Over time, soil properties and environmental factors may affect bearing capacity, and regular evaluation of bearing capacity can determine the long-term performance of anchor foundation;

[0080] Maintenance decision: Through bearing capacity data, reasonable maintenance and reinforcement measures can be arranged to extend the service life of the foundation;

[0081] 5. Soil and structure interaction analysis

[0082] Optimized design: Evaluation data helps understand the interaction between soil and structure, optimizing structural design to improve overall stability;

[0083] Reduce uncertainty: Through detailed bearing capacity assessment, uncertainty in the design process can be reduced, reducing engineering risks;

[0084] The vertical bearing capacity evaluation data of the pressure type anchor foundation plays an important role in the entire engineering life cycle, involving safety, design optimization, construction monitoring, long-term maintenance and economic benefits, etc. These data not only ensure the safety and stability of the project, but also provide support for the economic efficiency and sustainable development of the project.

[0085] S30, according to 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 the optimization scheme.

[0086] In this embodiment, according to 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, as follows:

[0087] 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 optimization maintenance is not needed, and continuous detection is performed. When the evaluation data of the vertical bearing capacity of the pressure-type anchor foundation is less than the preset evaluation threshold, an early warning mechanism is automatically triggered, optimization maintenance is needed, and an optimization scheme is given.

[0088] The evaluation results are displayed in real time through a user-friendly interface, enabling users to intuitively understand the running state and bearing performance of the anchor foundation.

[0089] Based on the evaluation results and feedback analysis mechanism, scientific and reasonable decision support is provided for users, including optimization design scheme, adjustment of construction process, strengthening of monitoring measures, etc., to ensure the safe and reliable operation of the anchor foundation.

[0090] The feedback analysis mechanism based on the evaluation data of the vertical bearing capacity of the pressure-type anchor foundation plays an important role in improving the safety and reliability of the project. The main functions are as follows:

[0091] 1. Real-time monitoring and adjustment

[0092] Dynamic feedback: By collecting and analyzing bearing capacity data in real time, potential problems such as bearing capacity decline or abnormal changes can be found in time, and adjustment measures can be taken quickly;

[0093] Construction process optimization: During the construction process, the layout of the anchor and the construction process can be optimized based on feedback information to ensure that the foundation reaches the expected bearing capacity;

[0094] 2. Safety guarantee

[0095] Risk early warning: The feedback mechanism can achieve early warning of changes in foundation bearing capacity, take timely remedial measures, and reduce safety risks;

[0096] Accident prevention: Through continuous monitoring and analysis, action can be taken before problems occur, preventing foundation failure and related accidents;

[0097] 3. Data-driven decision support

[0098] Scientific decision-making: The feedback mechanism is based on data analysis to provide decision support for project managers to ensure that design and construction meet actual conditions;

[0099] Optimization of resource allocation: According to feedback data, resources such as manpower and materials are reasonably arranged to improve engineering efficiency;

[0100] 4. Continuous improvement and learning

[0101] Experience accumulation: Through the analysis of bearing capacity evaluation data, effective construction and management experience can be summarized, promoting continuous improvement of technology;

[0102] Feedback loop: Establish a feedback mechanism, so that each construction and evaluation becomes the basis for the next optimization, forming a virtuous cycle;

[0103] 5. Long-term performance monitoring

[0104] Monitoring foundation health: Collect bearing capacity data over a long period of time to analyze the health of the foundation and promptly identify and address problems to extend the service life of the foundation;

[0105] Maintenance and reinforcement decision: Based on long-term monitoring results, arrange maintenance and reinforcement measures reasonably to improve the durability of the foundation;

[0106] 6. Improve design accuracy

[0107] Improve design model: Continuously optimize the design model through feedback data to reduce uncertainty in the design process and improve design accuracy

[0108] Adaptive design: Adjust design parameters to adapt the foundation to actual working conditions under different environments and conditions;

[0109] The feedback analysis mechanism based on the vertical bearing capacity evaluation data of the pressure type anchor foundation can effectively improve the safety of the project, optimize the design and construction, and realize the rational allocation of resources. It also provides support for long-term performance monitoring and maintenance. This mechanism not only helps the successful implementation of the project, but also promotes the scientific and standardized management of the project.

[0110] In this embodiment, the optimization scheme is given as follows:

[0111] Before giving the optimization scheme, a database is constructed according to historical problems, historical data changes and problem solving methods;

[0112] When the feedback analysis mechanism is triggered, real-time evaluation results and key data are matched with the database to provide optimization suggestions;

[0113] If the user takes the reinforcement measures suggested by the system, the system re-evaluates the bearing capacity after reinforcement and updates the warning threshold and optimization suggestions.

[0114] The above formulas are dimensionless numerical calculations. The formula is obtained by collecting a large amount of data to simulate the latest real situation. The preset parameters in the formula are set by technicians in the field according to actual conditions.

[0115] The above-described embodiments can be implemented in whole or in part by software, hardware, firmware, or any combination thereof. When implemented by software, the above-described embodiments can be implemented in whole or in part in the form of a computer program product.

[0116] Those skilled in the art can realize that the modules and algorithm steps of the examples described in conjunction with the embodiments disclosed herein can be realized by electronic hardware or a combination of computer software and electronic hardware. Whether the functions are realized in hardware or software depends on the specific application and design constraints of the technical solution. Those skilled in the art can use different methods to realize the described functions for each specific application, but such implementation should not be considered beyond the scope of the present application.

[0117] In addition, each functional module in each embodiment of the present application can be integrated into one processing module, or each module can exist physically alone, or two or more modules can be integrated into one module.

[0118] The above is merely specific embodiments of the present application, but the protection scope of the present application is not limited thereto, and any person skilled in the art can easily think of changes or replacements 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 subject to the protection scope of the claims.

[0119] Finally: the above is merely preferred embodiments of the present application, and is not intended to limit the present application, and any modification, equivalent replacement, improvement, etc. made within the spirit and principles of the present application should be included in the protection scope of the present application.

Claims

1. A method for intelligently sensing the vertical bearing capacity of a pressure-type anchor foundation, characterized in that, The method comprises the following steps: Integrating high-precision sensors at key positions of the device to be tested, collecting data of the device to be tested through the sensors, and extracting characteristic parameters; According to the characteristic parameters, an evaluation model of the vertical bearing capacity of the pressure-type anchor foundation is constructed based on an artificial intelligence algorithm to obtain evaluation data of the vertical bearing capacity of the pressure-type anchor foundation; According to the evaluation data of the vertical bearing capacity of the pressure-type anchor foundation, a feedback analysis mechanism is established, and when the evaluation data is abnormal, a pre-warning mechanism is automatically triggered, and an optimization scheme is given; The characteristic parameters include a construction process influence coefficient, and the construction process influence coefficient is obtained in the following steps: During the grouting construction process, the grouting pressure of each stage is monitored and recorded, and the trend of pressure change during the grouting process is recorded; According to the pressure change trend curve, the peak value and the valley value in the curve are extracted and averaged to obtain a grouting pressure; Stepwise vertical pressure is applied to the anchor to be tested, and the bearing capacity of the anchor is recorded until the failure and critical bearing state are reached, and the maximum bearing pressure is obtained; Stepwise tension is applied to the anchor to be tested, and the tension at which the anchor cracks under tension, i.e. the maximum design tension, is recorded; The drilling quality, grouting quality and grouting quality during the construction process are comprehensively evaluated to obtain a construction quality factor; The tension borne by the anchor and the anchor depth are obtained, and the grouting pressure, the maximum bearing pressure, the maximum design tension, the construction quality factor, the tension borne by the anchor and the anchor depth are input into a preset construction process influence coefficient formula to obtain an output result of the construction process influence coefficient; The characteristic parameters include an anchor material performance influence coefficient, and the anchor material performance influence coefficient is obtained in the following steps: A hydraulic jack device is used to apply stepwise increasing tension load to the anchor, and the displacement of the anchor and the applied load are monitored in real time while the load is applied, 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, i.e. the stress peak value; A tensile test is performed on the anchor to be tested to obtain the yield strength of the anchor material; Before the load is applied, the initial displacement data of the foundation are recorded as a benchmark for subsequent comparison; The frequency of measurement is set to record the displacement data of the foundation at regular intervals according to the set time interval, record the displacement data of each measurement, arrange them into a table, calculate the displacement change in each time period, and calculate the foundation displacement rate by the ratio of displacement change to time change; The maximum displacement rate in the measurement time period is found through the foundation displacement rate data; The length and diameter of the anchor are obtained, and the stress peak value, the yield strength of the anchor material, the foundation displacement rate, the maximum displacement rate, the length and diameter of the anchor are input into a preset anchor material performance influence coefficient formula to obtain the anchor material performance influence coefficient; The characteristic parameters include a soil pressure gradient, and the soil pressure gradient is obtained in the following steps: The type of soil to be measured and the depth range thereof are determined, a monitoring well is set up, a pressure sensor is installed, and pressure data at different depths are obtained; Record the initial soil pressure at each depth as baseline data before applying any additional load or interference; Record the pressure data at each depth regularly to observe the pressure changes over time; Take multiple measurements to ensure data at different depths; Calculate the pressure gradient according to the pressure changes at different depths. 2.The method according to claim 1, wherein, The specific process of establishing a feedback analysis mechanism based on the evaluation data of the vertical bearing capacity of the pressure-type anchor rod foundation is as follows: Compare the evaluation data of the vertical bearing capacity of the pressure-type anchor rod foundation with the preset evaluation threshold. When the evaluation data of the vertical bearing capacity of the pressure-type anchor rod foundation is greater than the preset evaluation threshold, the vertical bearing capacity of the pressure-type anchor rod foundation is good, and no optimization maintenance is needed, and continuous detection is carried out; When the evaluation data of the vertical bearing capacity of the pressure-type anchor rod foundation is less than the preset evaluation threshold, the early warning mechanism is automatically triggered. 3.The method according to claim 1, wherein, The specific optimization scheme is as follows: Before giving the optimization scheme, a database is constructed according to historical problems, historical data changes, and problem solving methods; When the feedback analysis mechanism is triggered, real-time evaluation results and key data are used to automatically match the database and provide optimization suggestions; If the user takes the reinforcement measures suggested by the system, the system re-evaluates the bearing capacity after reinforcement and updates the warning threshold and optimization suggestions. 4.The method according to claim 3, characterized in that, The calculation formula of the construction process influence coefficient is as follows: wherein, is the construction process influence coefficient, is the grouting pressure, is the maximum bearing pressure, is the tension of the anchor rod, is the maximum design tension, is the construction quality factor, is the anchor rod depth, , and are adjustment constant factors.

5. The method according to claim 4, wherein, The calculation formula of the anchor rod material performance influence coefficient is as follows: wherein is an anchor rod material performance influence coefficient, is a stress peak of the anchor rod, is a yield strength of the anchor rod material, is an anchor rod diameter, is an anchor rod length, is a base displacement rate, is a maximum displacement rate, and is an adjustment constant factor.

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