Intelligent Detection System for Foundation Bearing Capacity Assessment

Abstract

The present invention relates to the technical field of detection systems for foundations, and particularly to an intelligent detection system for evaluating the bearing capacity of foundations. The system includes a drone, a visual detection module, a soil detection module, a control module, a bearing capacity analysis module, and a communication module. The visual detection module is installed on the drone and is used to detect and obtain relevant data on the foundation surface. The soil detection module is used to detect and obtain soil-related data. The control module obtains the analysis factors for the foundation bearing capacity. The bearing capacity analysis module obtains information on whether the foundation bearing capacity is qualified based on the analysis factors for the foundation bearing capacity and transmits it to the communication module. The communication module transmits the information on whether the foundation bearing capacity is qualified to the user terminal. The system integrates the visual detection module and the soil detection module, combines multiple data sources, and provides a more comprehensive and accurate evaluation of the foundation bearing capacity.

Description

Technical Field

[0001] The present invention relates to the technical field of detection systems for ground foundations, and particularly to an intelligent detection system for evaluating the bearing capacity of ground foundations. Background Art

[0002] Soil is an important component of the ground foundation. The bearing capacity of the ground foundation is the maximum weight capacity that the foundation of a building or structure can safely bear the building above it. Accurately evaluating the bearing capacity of the ground foundation is crucial for ensuring the safety and stability of the building.

[0003] The application document with the publication number CN118292500A discloses a detection method for ground bearing, including: UAV aerial photography: The UAV carries a camera device to conduct aerial photography on the target area to obtain surface image data; sensor node deployment: Sensor nodes are arranged on the ground of the target area to monitor soil parameters and surface changes in real time; data transmission: The data collected by the UAV and sensor nodes are sent to the data processing center through wireless transmission; data processing: The received data is preprocessed, analyzed, and integrated to extract soil parameters and surface features.

[0004] The detection methods of the prior art are relatively single, resulting in the lack of typicality of the detected data. Summary of the Invention

[0005] The purpose of the present invention is to improve the diversity of detection. In view of the above deficiencies, an intelligent detection system for evaluating the bearing capacity of ground foundations is proposed.

[0006] The present invention adopts the following technical solutions:

[0007] An intelligent detection system for evaluating the bearing capacity of ground foundations, the system includes a UAV, a visual detection module, a soil detection module, a control module, a bearing capacity analysis module, and a communication module;

[0008] The visual detection module is installed on the UAV. The visual detection module is used to detect and obtain relevant data on the ground surface of the foundation, and transmit it to the control module;

[0009] The soil detection module is used to detect and obtain soil-related data, and transmit it to the control module;

[0010] The control module obtains the analysis factors of the bearing capacity of the ground foundation according to the soil-related data and the relevant data on the ground surface of the foundation, and transmits the analysis factors of the bearing capacity of the ground foundation to the bearing capacity analysis module;

[0011] The bearing capacity analysis module obtains the information on whether the bearing capacity of the ground foundation is qualified according to the analysis factors of the bearing capacity of the ground foundation, and transmits it to the communication module;

[0012] The communication module transmits the information on whether the foundation bearing capacity is qualified to the user terminal.

[0013] Optionally, the visual detection module includes an image acquisition sub-module, a contour extraction sub-module, an area calculation sub-module, an image processing sub-module, a gray threshold setting sub-module, a pixel point classification sub-module, and a pixel point statistics sub-module;

[0014] The image acquisition sub-module is used to acquire a full-coverage image of the foundation surface and is installed on the unmanned aerial vehicle;

[0015] The contour extraction sub-module extracts the external contour of the foundation from the full-coverage image of the foundation surface through a contour detection algorithm to obtain the boundary polygon of the foundation;

[0016] The area calculation sub-module is used to analyze the boundary polygon of the foundation and obtain the total area of the foundation surface, and transmit it to the control module;

[0017] The image processing sub-module converts the full-coverage image of the foundation surface into a gray image;

[0018] The gray threshold setting sub-module is used to set a fixed threshold;

[0019] The pixel point classification sub-module classifies the pixel points with gray values less than the fixed threshold as low-gray pixel points and the pixel points with gray values greater than or equal to the fixed threshold as high-gray pixel points;

[0020] The pixel point statistics sub-module is used to count the total number of low-gray pixel points and the total number of high-gray pixel points corresponding to each flight of the unmanned aerial vehicle, and obtain the total number of low-gray pixel points detected by the unmanned aerial vehicle during the first flight, the total number of high-gray pixel points detected by the unmanned aerial vehicle during the first flight, the total number of low-gray pixel points detected by the unmanned aerial vehicle during the second flight, the total number of high-gray pixel points detected by the unmanned aerial vehicle during the second flight, the total number of low-gray pixel points detected by the unmanned aerial vehicle during the third flight, and the total number of high-gray pixel points detected by the unmanned aerial vehicle during the third flight, and transmit them to the control module.

[0021] Optionally, the soil detection module includes a resistivity detection sub-module, a reference value setting sub-module, a dry density detection sub-module, a permeameter, and a triaxial testing machine;

[0022] The resistivity detection sub-module is used to detect and obtain the resistivity of the soil and transmit it to the control module;

[0023] The reference value setting sub-module is used to set the reference value of the soil dry density and the reference value of the soil permeability and transmit them to the control module;

[0024] The dry density detection sub-module is used to detect and obtain the test value of the soil dry density and transmit it to the control module;

[0025] The permeameter is used to detect and obtain the test value of the soil permeability and transmit it to the control module;

[0026] The triaxial testing machine is used to detect and obtain the elastic modulus of the soil, the internal friction angle of the soil, and the cohesion of the soil, and transmit them to the control module.

[0027] Optionally, the control module obtains the total number of detections of the foundation settlement position, the settlement index of the foundation surface, and the pixel index of the foundation surface based on the data obtained by the visual detection module and the soil detection module, and obtains the analysis factor of the foundation bearing capacity based on the test value of the soil dry density, the reference value of the soil dry density, the resistivity of the soil, the pixel index of the foundation surface, the settlement index of the foundation surface, the test value of the soil permeability, the reference value of the soil permeability, the elastic modulus of the soil, the internal friction angle of the soil, and the cohesion of the soil.

[0028] Optionally, when the control module calculates the analysis factor of the foundation bearing capacity, the following formula is satisfied:

[0029]

[0030] Among them, Fbc is the analysis factor of the foundation bearing capacity, gmd ts is the test value of the soil dry density, gmd ck is the reference value of the soil dry density, crack is the pixel index of the foundation surface, esr is the settlement index of the foundation surface, stx ts is the test value of the soil permeability, stx ck is the reference value of the soil permeability, txml is the elastic modulus of the soil, nmcj is the internal friction angle of the soil, njl is the cohesion of the soil, and r is the resistivity of the soil.

[0031] The beneficial effects achieved by the present invention are:

[0032] 1. The system integrates a visual detection module and a soil detection module, combines multiple data sources, and provides a more comprehensive and accurate evaluation of the foundation bearing capacity;

[0033] 2. The visual detection module equipped on the unmanned aerial vehicle can quickly cover a large area of the foundation surface, reduce the time and labor costs of manual measurement, and reduce the risk of personnel working in dangerous areas, improving the safety of operation;

[0034] 3. The system can quickly transmit the qualified information of the foundation bearing capacity to the user terminal, enabling the user to promptly master the detection results.

[0035] To enable a further understanding of the features and technical content of the present invention, please refer to the following detailed description and drawings of the present invention. However, the provided drawings are only for reference and illustration, and are not used to limit the present invention. Description of the Drawings

[0036] Figure 1 It is a schematic diagram of the overall structure of the present invention;

[0037] Figure 2 It is a schematic diagram of the structure of the vision detection module in the present invention;

[0038] Figure 3 It is a schematic diagram of the structure of the soil detection module in the present invention;

[0039] Figure 4 It is a schematic diagram of the overall structure of the second embodiment of the present invention;

[0040] Figure 5 It is a schematic diagram of the structure of the weather information storage module in the second embodiment of the present invention. Detailed Embodiments

[0041] The following are specific embodiments to illustrate the implementation manners of the present invention. Those skilled in the art can understand the advantages and effects of the present invention from the content disclosed in this specification. The present invention can be implemented or applied through other different specific embodiments, and various details in this specification can also be modified and changed based on different viewpoints and applications without departing from the spirit of the present invention. Additionally, the drawings of the present invention are only simple schematic illustrations and are not drawn according to actual dimensions, which is stated in advance. The following embodiments will further detail the related technical content of the present invention, but the disclosed content is not used to limit the protection scope of the present invention.

[0042] Embodiment 1: This embodiment provides an intelligent detection system for foundation bearing capacity evaluation, as shown in combination with Figures 1 to 3 as shown.

[0043] An intelligent detection system for foundation bearing capacity evaluation, the system includes an unmanned aerial vehicle (UAV), a vision detection module, a soil detection module, a control module, a bearing capacity analysis module, and a communication module;

[0044] The vision detection module is installed on the UAV. The vision detection module is used to detect and obtain relevant data on the foundation surface, and transmit it to the control module;

[0045] The soil detection module is used to detect and obtain soil-related data, and transmit it to the control module;

[0046] The control module obtains an analysis factor of the foundation bearing capacity based on the soil-related data and the relevant data on the foundation surface, and transmits the analysis factor of the foundation bearing capacity to the bearing capacity analysis module;

[0047] The bearing capacity analysis module obtains information on whether the foundation bearing capacity is qualified based on the analysis factors of the foundation bearing capacity and transmits it to the communication module;

[0048] The communication module transmits the information on whether the foundation bearing capacity is qualified to the user terminal.

[0049] Specifically, when the bearing capacity analysis module analyzes, the following principles are referred to: when the analysis factor of the foundation bearing capacity is greater than or equal to the selected threshold of the analysis factor of the foundation bearing capacity, it indicates that the foundation bearing capacity is unqualified; when the analysis factor of the foundation bearing capacity is less than the selected threshold of the analysis factor of the foundation bearing capacity, it indicates that the foundation bearing capacity is qualified; the selected threshold of the analysis factor of the foundation bearing capacity is set by those skilled in the art.

[0050] Optionally, the visual detection module includes an image acquisition sub-module, a contour extraction sub-module, an area calculation sub-module, an image processing sub-module, a gray threshold setting sub-module, a pixel point classification sub-module, and a pixel point statistics sub-module;

[0051] The image acquisition sub-module is used to acquire a full-coverage image of the foundation surface, and it is installed on a drone;

[0052] The contour extraction sub-module extracts the external contour of the foundation from the full-coverage image of the foundation surface through a contour detection algorithm to obtain the boundary polygon of the foundation;

[0053] The area calculation sub-module is used to analyze the boundary polygon of the foundation and obtain the total area of the foundation surface, and transmits it to the control module;

[0054] The image processing sub-module converts the full-coverage image of the foundation surface into a gray image;

[0055] The gray threshold setting sub-module is used to set a fixed threshold;

[0056] The pixel point classification sub-module classifies the pixel points with gray values less than the fixed threshold as low-gray pixel points, and classifies the pixel points with gray values greater than or equal to the fixed threshold as high-gray pixel points;

[0057] The pixel point statistics sub-module is used to count the total number of low-gray-level pixel points and the total number of high-gray-level pixel points corresponding to each flight of the UAV, and obtain the total number of low-gray-level pixel points detected in the first flight of the UAV, the total number of high-gray-level pixel points detected in the first flight of the UAV, the total number of low-gray-level pixel points detected in the second flight of the UAV, the total number of high-gray-level pixel points detected in the second flight of the UAV, the total number of low-gray-level pixel points detected in the third flight of the UAV, and the total number of high-gray-level pixel points detected in the third flight of the UAV, and transmit them to the control module.

[0058] Specifically, the fixed threshold is set by those skilled in the art. Since there will be certain deviations in the brightness and flight path corresponding to each flight of the UAV, the UAV is set to fly three times to obtain more comprehensive data and make the data more representative; when there are irregular or sunken areas (crack areas) on the ground surface, these areas will absorb more light at this time, resulting in less reflected light. In the corresponding grayscale image, these areas appear as dark areas, that is, the areas composed of low-gray-level pixel points can be regarded as crack areas.

[0059] Optionally, the soil detection module includes a resistivity detection sub-module, a reference value setting sub-module, a dry density detection sub-module, a permeameter, and a triaxial testing machine;

[0060] The resistivity detection sub-module is used to detect and obtain the resistivity of the soil and transmit it to the control module;

[0061] The reference value setting sub-module is used to set the reference value of the soil dry density and the reference value of the soil permeability and transmit them to the control module;

[0062] The dry density detection sub-module is used to detect and obtain the test value of the soil dry density and transmit it to the control module;

[0063] The permeameter is used to detect and obtain the test value of the soil permeability and transmit it to the control module;

[0064] The triaxial testing machine is used to detect and obtain the elastic modulus of the soil, the internal friction angle of the soil, and the cohesion of the soil and transmit them to the control module.

[0065] Optionally, the control module obtains the total number of detected foundation settlement positions, the settlement index of the foundation surface, and the pixel index of the foundation surface based on the data obtained from the visual detection module and the soil detection module, and obtains the analysis factor of the foundation bearing capacity based on the test value of the soil dry density, the reference value of the soil dry density, the resistivity of the soil, the pixel index of the foundation surface, the settlement index of the foundation surface, the test value of the soil permeability, the reference value of the soil permeability, the elastic modulus of the soil, the internal friction angle of the soil, and the cohesion of the soil.

[0066] Optionally, when the control module calculates the analysis factor of the foundation bearing capacity, the following formula is satisfied:

[0067]

[0068] where Fbc is the analysis factor of the foundation bearing capacity, gmd ts is the measured value of the dry soil density, gmd ck is the reference value of the dry soil density, crack is the pixel index of the foundation surface, esr is the settlement index of the foundation surface, stx ts is the measured value of the soil permeability, stx ck is the reference value of the soil permeability, txml is the elastic modulus of the soil, nmcj is the internal friction angle of the soil, njl is the cohesion of the soil, and r is the resistivity of the soil.

[0069] Optionally, when the control module calculates, the pixel index of the foundation surface and the settlement index of the foundation surface satisfy the following formula:

[0070]

[0071] where dhf is the total number of low-gray pixel points detected by the drone in the first flight, ghf is the total number of high-gray pixel points detected by the drone in the first flight, dhs is the total number of low-gray pixel points detected by the drone in the second flight, ghs is the total number of high-gray pixel points detected by the drone in the second flight, dhth is the total number of low-gray pixel points detected by the drone in the third flight, and ghth is the total number of high-gray pixel points detected by the drone in the third flight;

[0072] D is the total number of detections of the foundation settlement position, is the initial height of the foundation detected at the d-th position, is the settlement height of the foundation detected at the d-th position;

[0073] s f d is the total area of the foundation surface.

[0074] Specifically, the unit of the measured value of the dry soil density and the reference value of the dry soil density is kilograms per cubic meter; the unit of the measured value of the soil permeability and the reference value of the soil permeability is meters per second; the unit of the elastic modulus of the soil is Pascal; the unit of the cohesion of the soil is Pascal; the unit of the initial height of the foundation detected at each position and the settlement height of the foundation detected at each position is millimeter; the unit of the total area of the foundation surface is square meter.

[0075] The purpose of setting the pixel index of the foundation surface is to reflect the failure of the soil under stress and the structural deformation caused by environmental factors, which leads to the appearance of cracks on the foundation surface. The reasons are as follows: First, when the soil undergoes wet-dry alternation, volume changes occur. When such changes occur repeatedly, shrinkage cracks will appear. Second, uneven settlement of the foundation will also cause distortion or bending of the soil structure, resulting in the formation of cracks on the surface. Third, external environmental factors such as fluctuations in the groundwater level and earthquakes will affect the foundation. Finally, activities such as excavation, blasting, vibration, or underground pipeline construction during the engineering construction process will all cause soil disturbance, thus forming cracks.

[0076] The larger the measured value of the dry density of the soil, the stronger the strength and bearing capacity of the soil, and the less likely it is to deform and settle.

[0077] The purpose of setting the settlement index of the foundation surface is to judge the stability, safety, and service life of the foundation through it. And it is set that the time period formed between the initial height and the settlement height of the foundation detected at the same position is 24 hours. Only the settlement height of the foundation detected at each position is limited by time.

[0078] The measured value of soil permeability is the specific value of the ability of the soil to allow water flow through. A larger or smaller value indicates that the soil may cause stability problems.

[0079] The larger the value of the elastic modulus of the soil, the harder the soil, the greater the overall stiffness of the foundation, and the higher the bearing capacity will be.

[0080] The internal friction angle of the soil is an important parameter reflecting the friction characteristics between soil particles. Its value varies according to factors such as the type of soil, particle size, density, and water content. The larger the value of the internal friction angle of the soil, the better the stability, and the internal friction angle of the soil is less than 90°.

[0081] The larger the value of the cohesion of the soil, the stronger the corresponding shear strength of the soil, which helps to improve the stability and bearing capacity of the foundation.

[0082] The larger the value of the resistivity of the soil, the lower the corresponding water content of the soil. At this time, the soil is relatively firm and the corresponding bearing capacity is relatively good.

[0083] The above units are just examples. Those skilled in the art can set different units according to actual needs when implementing this solution.

[0084] This embodiment solves the problem of relatively single detection of traditional detection systems through the visual detection module and the soil detection module. This system integrates the visual detection module and the soil detection module, combines multiple data sources, and provides a more comprehensive and accurate evaluation of the foundation bearing capacity.

[0085] Example 2: This example includes all the content of Example 1 and provides an intelligent detection system for evaluating the bearing capacity of the foundation, as shown in combination with 4 and Figure 5 as shown.

[0086] An intelligent detection system for evaluating the bearing capacity of the foundation, which also includes a weather information storage module, a pH monitoring module, and a stability analysis module;

[0087] The weather information storage module is used to store weather-related data and transmit it to the control module;

[0088] The pH monitoring module is used to monitor the pH of precipitation and obtain the pH of daily precipitation, and transmit it to the control module;

[0089] The control module obtains the pH of daily precipitation based on the pH of daily precipitation, obtains the stability factor of the foundation based on the pH of daily precipitation and weather-related data, and transmits the stability factor of the foundation to the stability analysis module;

[0090] The stability analysis module obtains information on whether the foundation is stable or not based on the stability factor of the foundation and transmits it to the communication module;

[0091] The communication module transmits the information on whether the foundation is stable or not to the user terminal.

[0092] Specifically, when the stability analysis module analyzes, it refers to the following principle: when the stability factor of the foundation is greater than or equal to the selected threshold of the stability factor of the foundation, it indicates that the foundation is unstable; when the stability factor of the foundation is less than the selected threshold of the stability factor of the foundation, it indicates that the foundation is stable; the selected threshold of the stability factor of the foundation is set by those skilled in the art.

[0093] Optionally, the weather information storage module includes a number of days information setting sub-module, a precipitation information setting sub-module, and a weather information acquisition sub-module;

[0094] The number of days information setting sub-module is used to set the total number of days of detection and transmit it to the control module;

[0095] The precipitation information setting sub-module is used to set the reference value of the average daily precipitation and transmit it to the control module;

[0096] The weather information acquisition sub-module is used to acquire weather information and obtain the test value of the average daily precipitation detected every day, the maximum value of the temperature detected every day, and the minimum value of the temperature detected every day, and transmit them to the control module.

[0097] Optionally, when the control module calculates the stability factor of the foundation, it satisfies the following formula:

[0098]

[0099] Among them, Hse is the stability factor of the foundation, M is the total number of days of detection, is the test value of the daily average precipitation detected on the m-th day, jsl ck is the reference value of the daily average precipitation, is the maximum value of the temperature detected on the m-th day, is the minimum value of the temperature detected on the m-th day, sjd m is the acid-base index of the precipitation on the m-th day;

[0100] ph m is the pH value of the precipitation on the m-th day.

[0101] Specifically, when calculating the stability factor of the foundation, the corresponding total number of days of detection is 7 days. The data analysis is based on the data of the 7 days before the calculation day. For example, if the calculation day is August 19, 2024, the data between August 12 and 18, 2024 will be analyzed; the units of the test value of the daily average precipitation detected every day and the reference value of the daily average precipitation are both millimeters; the units of the maximum value of the temperature detected every day and the minimum value of the temperature detected every day are both degrees Celsius; when testing the pH value of the precipitation every day, in order to improve the accuracy of the test, the test will be carried out in the early stage of the precipitation.

[0102] The above units are just an example. Those skilled in the art can set different units according to actual needs when implementing this solution.

[0103] This embodiment solves the problem of low detection accuracy of traditional detection systems. By integrating weather data and pH information, the control module can comprehensively consider various factors and calculate a more accurate foundation stability factor, thereby improving the accuracy of foundation stability assessment.

[0104] The content disclosed above is only the preferred feasible embodiment of the present invention, and does not limit the protection scope of the present invention. Therefore, all equivalent technical changes made by using the content of the specification and drawings of the present invention are included in the protection scope of the present invention. In addition, with the development of technology, the elements therein can be updated.

Claims

1. An intelligent detection system for foundation bearing capacity assessment, characterized in that: The system includes a drone, a visual inspection module, a soil inspection module, a control module, a bearing capacity analysis module, and a communication module; The visual detection module is installed on the drone, and is used to detect and obtain relevant data of the foundation surface and transmit it to the control module; The soil detection module is used to detect and obtain soil-related data, and transmit the data to the control module; The control module obtains an analysis factor of the foundation bearing capacity based on the soil-related data and the foundation surface-related data, and transmits the analysis factor of the foundation bearing capacity to the bearing capacity analysis module; The bearing capacity analysis module obtains information on whether the foundation bearing capacity is qualified according to the analysis factor of the foundation bearing capacity, and transmits the information to the communication module; The communication module transmits information on whether the bearing capacity of the foundation is qualified to the user end; The control module obtains the total number of foundation settlement position detections, the settlement index of the foundation surface and the pixel index of the foundation surface according to the data obtained by the visual detection module and the soil detection module, and obtains the analysis factor of the foundation bearing capacity according to the test value of soil dry density, the reference value of soil dry density, the resistivity of soil, the pixel index of the foundation surface, the settlement index of the foundation surface, the test value of soil permeability, the reference value of soil permeability, the elastic modulus of soil, the internal friction angle of soil and the cohesion of soil: ； Among them, Fbc is the analysis factor of foundation bearing capacity, is the test value of soil dry density, is the reference value of soil dry density, crack is the pixel index of the foundation surface, esr is the settlement index of the foundation surface, is the test value of soil permeability, is the reference value of soil permeability, txml is the elastic modulus of soil, nmcj is the internal friction angle of soil, njl is the cohesion of soil, and r is the resistivity of soil; in, ; ； ； Among them, dhf is the total number of low-grayscale pixels detected by the drone in the first flight, ghf is the total number of high-grayscale pixels detected by the drone in the first flight, dhs is the total number of low-grayscale pixels detected by the drone in the second flight, ghs is the total number of high-grayscale pixels detected by the drone in the second flight, dhth is the total number of low-grayscale pixels detected by the drone in the third flight, ghth is the total number of high-grayscale pixels detected by the drone in the third flight; D is the total number of foundation settlement position detections, The initial height of the foundation detected for the dth position, The settlement height of the foundation detected for the dth position; is the total area of ​​the foundation surface; the unit of the test value of soil dry density and the reference value of soil dry density is kilograms per cubic meter; the unit of the test value of soil permeability and the reference value of soil permeability is meter per second; the unit of soil elastic modulus is Pascal; the unit of soil cohesion is Pascal; the unit of the initial height of the foundation detected at each position and the unit of the settlement height of the foundation detected at each position are both millimeters; the unit of the total area of ​​the foundation surface is square meters; the visual detection module includes an image acquisition submodule, a contour extraction submodule, an area calculation submodule, an image processing submodule, a grayscale threshold setting submodule, a pixel classification submodule and a pixel statistics submodule; the image acquisition submodule is used to collect a comprehensive coverage image of the foundation surface, which is installed on the drone; the contour extraction submodule extracts the external contour of the foundation in the comprehensive coverage image of the foundation surface through a contour detection algorithm to obtain the boundary polygon of the foundation; the area calculation submodule is used to analyze the boundary polygon of the foundation and obtain the total area of ​​the foundation surface, and transmit it to the control module; the image processing submodule converts the comprehensive coverage image of the foundation surface into grayscale images. grayscale image; the grayscale threshold setting submodule is used to set a fixed threshold; the pixel classification submodule classifies the pixels whose grayscale values ​​are less than the fixed threshold as low grayscale pixels, and classifies the pixels whose grayscale values ​​are greater than or equal to the fixed threshold as high grayscale pixels; the pixel statistics submodule is used to count the total number of low grayscale pixels and the total number of high grayscale pixels corresponding to each flight of the drone, and obtain the total number of low grayscale pixels detected by the drone in the first flight, the total number of high grayscale pixels detected by the drone in the first flight, the total number of low grayscale pixels detected by the drone in the second flight, the total number of high grayscale pixels detected by the drone in the second flight, the total number of low grayscale pixels detected by the drone in the third flight, and the total number of high grayscale pixels detected by the drone in the third flight, and transmit them to the control module; when the analysis factor of the foundation bearing capacity is greater than or equal to the selection threshold of the analysis factor of the foundation bearing capacity, it is indicated that the foundation bearing capacity is unqualified, and when the analysis factor of the foundation bearing capacity is less than the selection threshold of the analysis factor of the foundation bearing capacity, it is indicated that the foundation bearing capacity is qualified.

2. The intelligent detection system for foundation bearing capacity assessment according to claim 1, characterized in that: The soil detection module includes a resistivity detection submodule, a reference value setting submodule, a dry density detection submodule, a permeameter and a triaxial testing machine; The resistivity detection submodule is used to detect and obtain the resistivity of the soil and transmit it to the control module; The reference value setting submodule is used to set a reference value of soil dry density and a reference value of soil permeability, and transmit the values ​​to the control module; The dry density detection submodule is used to detect and obtain a test value of soil dry density and transmit it to the control module; The permeameter is used to detect and obtain a test value of soil permeability and transmit it to the control module; The triaxial testing machine is used to detect and obtain the elastic modulus, internal friction angle and cohesion of the soil, and transmit the results to the control module.

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