Method and system for judging stability of bedding slope

Abstract

The invention relates to the technical field of geotechnical engineering, in particular to a bedding side slope stability judgment method and system, and the method comprises the following steps: scanning a target bedding side slope by using an ultrasonic sensor based on the position information of the bedding side slope, recording a three-dimensional geological structure image of the side slope, detecting the positions of cracks and cavities, and generating a bedding side slope structure image. According to the method, an ultrasonic sensor is used for scanning a slope, internal cracks and cavities are recognized, stability problems are found in the early stage, side slope rock and soil characteristics are recognized in combination with physical and chemical attribute measurement, a three-dimensional geologic model is constructed through terrain scanning, and interaction between soil particles and rocks in multiple scenes is simulated; according to the method, the behaviors of the slope under various natural and artificial conditions are analyzed, the instability behavior of the slope is identified, the influence of various factors on the stability of the slope is evaluated, the ability of taking precautionary measures for various risk factors is enhanced, and a decision maker is helped to make accurate maintenance and intervention decisions.

Description

Technical Field

[0001] The invention relates to the technical field of geotechnical engineering, and in particular to a method and system for determining the stability of a bedding slope. Background Art

[0002] The field of geotechnical engineering technology focuses on the research of the engineering behavior of various soils and rocks. It is applied to many aspects of civil engineering, mining engineering, and environmental engineering. It covers a variety of applications in infrastructure construction and disaster prevention, including the design, construction, and maintenance of various types of projects such as buildings, roads, railways, and water conservancy. By analyzing the physical and chemical properties of soils and rocks, and studying their behavior under various environmental conditions through simulation and experimental methods, geotechnical engineering aims to evaluate and solve various engineering problems related to geological conditions to ensure the safety and functionality of engineering structures.

[0003] Among them, the layered slope stability judgment method is used to evaluate the stability of slopes with layered rock and soil structures under the influence of various natural and human factors, aiming to prevent slope sliding and collapse and protect human life and property safety, including in various natural conditions such as earthquakes and heavy rains, and various human activities such as excavation and construction. By analyzing the geological structure of the slope, the mechanical properties of the soil or rock, the geometric shape of the slope and the external environmental conditions, mathematical models and computer simulations are used to predict the stability of the slope, providing a scientific basis for the design and maintenance of slope engineering.

[0004] Traditional methods for determining the stability of bedding slopes have limitations when dealing with slope stability assessments under variable and complex natural conditions. They rely on simple models and assumptions to identify the three-dimensional structure and complex internal features of the slope, leading to misjudgment of the actual situation. They have limited capabilities in data integration and real-time data processing, which restricts their application efficiency and response speed under rapidly changing environmental conditions. They cannot fully consider the complexity and diversity of geological structures in simulating the effects of natural disasters such as earthquakes or heavy rains on slopes, leading to insufficient safety assessments and inability to effectively prevent disasters. They cannot accurately analyze the impact of cracks and cavities on slope stability, ignore key safety hazards, and cause slope instability under unforeseen conditions, resulting in serious casualties and property losses in actual projects. Summary of the invention

[0005] The purpose of the present invention is to solve the shortcomings in the prior art and to provide a method and system for determining the stability of a slope along the layer.

[0006] In order to achieve the above object, the present invention adopts the following technical scheme, a method for determining the stability of a slope along a layer, comprising the following steps: S1: Based on the position information of the bedding slope, the target bedding slope is scanned using an ultrasonic sensor to record the three-dimensional geological structure image of the slope, detect the locations of cracks and cavities, and generate a bedding slope structure image; S2: Based on the layer slope structure image, collecting rock and soil samples at multiple positions and depths of the target slope, measuring the physical and chemical properties of the samples, and generating slope geological sample characteristic information; S3: Based on the characteristic information of the geological sample of the slope, the external terrain characteristics of the slope are measured, and a three-dimensional geological model of the slope along the layer is constructed by combining the content structure image and the rock and soil distribution, and a model construction record is generated; S4: Based on the model construction record, according to the geotechnical characteristics of multiple locations inside the slope, simulate the physical interaction between soil particles and rocks, analyze the response behavior of the slope under various conditions, identify the triggering factors of slope instability by simulating the instability behavior of the slope, and generate multi-scenario behavior simulation results; S5: Based on the multi-scenario behavior simulation results, analyze the influence of various factors on slope stability, and conduct quantitative analysis of stability influencing factors to generate quantitative results of influencing factors; S6: Based on the quantitative results of the influencing factors, the geological, meteorological and hydrological data of the target area are collected, the stability of the target layer slope is analyzed and calculated, and the losses caused by the instability of the slope are evaluated to generate the slope stability evaluation results.

[0007] As a further solution of the present invention, the layered slope structure image includes the layer information of the slope, the crack width and length information, and the volume and position data of the voids; the slope geological sample characteristic information includes the sample particle size distribution data, chemical mineral composition information, and soil moisture content; the model construction record includes the digital elevation model of the slope, the soil layer thickness distribution map, and the rock and soil mechanics parameters; the multi-scenario behavior simulation results include the slip probability assessment information of the slope under various rainfall conditions, the stability change simulation results under the action of earthquakes, and the soil stress state under the influence of human activities; the quantitative results of the influencing factors include the sensitivity analysis results of the slope stability, the contribution of key influencing factors, and the stability change trend prediction information; the slope stability assessment results include the expected instability time window, the economic loss assessment results, and the stability score.

[0008] As a further solution of the present invention, based on the position information of the bedding slope, an ultrasonic sensor is used to scan the target bedding slope, record the three-dimensional geological structure image of the slope, detect the positions of cracks and cavities, and generate the bedding slope structure image in the following steps: S101: Based on the position information of the slope along the layer, adjusting the transmitting frequency and receiving sensitivity of the ultrasonic sensor, collecting geological structure reflection data, and generating reflection data receiving records; S102: Based on the reflection data reception record, perform signal enhancement processing on the reflection data, eliminate background noise, optimize signal quality, and generate a signal processing result; S103: Based on the signal processing result, a three-dimensional geological structure image of the bedding slope is drawn, cracks and cavities inside the slope are identified and their position information is recorded, and a bedding slope structure image is generated.

[0009] As a further solution of the present invention, based on the layer slope structure image, rock and soil samples at multiple positions and depths of the target slope are collected, and the physical and chemical properties of the samples are measured to generate slope geological sample characteristic information in the following steps: S201: Based on the bedding slope structure image, collect rock and soil samples at multiple locations of the target bedding slope, record location information of the samples, and generate rock and soil sample collection results; S202: Based on the rock and soil sample collection results, identify the types of soil and rock, and perform physical and chemical tests on the samples, including measuring density, porosity, identifying moisture content, pH, and obtaining physical and chemical test results; S203: According to the physical and chemical test results and the location information of the samples, the characteristic information of the samples is mapped into the three-dimensional geological structure image to generate the characteristic information of the slope geological samples.

[0010] As a further solution of the present invention, based on the characteristic information of the slope geological sample, the external terrain characteristics of the slope are measured, and the three-dimensional geological model of the slope along the layer is constructed by combining the content structure image and the rock and soil distribution. The steps of generating the model construction record are specifically as follows: S301: Based on the characteristic information of the geological sample of the slope, using ground laser scanning equipment, measuring the external terrain characteristics of the slope, obtaining terrain scanning data, including terrain height and slope data, and generating terrain scanning results; S302: Based on the terrain scanning result and the terrain features of the target slope, a three-dimensional model of the target slope is constructed to generate a terrain model of the target slope; S303: Based on the target slope terrain model and in combination with the three-dimensional geological structure image of the bedding slope, the internal structure and rock and soil distribution are mapped into the geological model to generate a model construction record.

[0011] As a further solution of the present invention, based on the model construction record, according to the geotechnical characteristics of multiple locations inside the slope, the physical interaction between soil particles and rocks is simulated, the response behavior of the slope under various conditions is analyzed, and the slope instability triggering factors are identified by simulating the instability behavior of the slope. The steps of generating multi-scenario behavior simulation results are specifically as follows: S401: Based on the model construction record, according to the rock and soil type and characteristic information, the rock and soil characteristic parameters at multiple positions inside the slope are set to generate simulation initialization data; S402: Based on the simulation initialization data, simulate the slope response behavior under various natural and artificial conditions, including rainfall, earthquake, and mining, record the dynamic behavior and reaction of the slope during the simulation process, and generate a response behavior record; S403: Based on the response behavior record, simulate the slope instability behavior, identify the unstable section location and triggering factors, and generate multi-scenario behavior simulation results.

[0012] As a further solution of the present invention, based on the multi-scenario behavior simulation results, the influence of various factors on slope stability is analyzed, and a quantitative analysis of the stability influencing factors is performed. The steps of generating the quantitative results of the influencing factors are specifically as follows: S501: Based on the multi-scenario behavior simulation results, calculate the stress distribution data of the slope at multiple locations, analyze the influence of the geological structure on the slope stability, and generate geological structure influence data; S502: Based on the geological structure impact data, assess the impact of climate and environmental conditions on slope stability, including rainfall, temperature changes, and vegetation coverage, and generate environmental impact assessment information; S503: Based on the environmental impact assessment information, assess the impact of hydrological conditions on slope stability, including groundwater level and flow velocity, calculate the correlation of multiple influencing factors, and generate quantitative results of the influencing factors.

[0013] As a further solution of the present invention, the specific formula for calculating the correlation of multiple influencing factors is: in, Represents a vector of measured values ​​of multiple influencing factors, represents a measure of slope stability, and They are and The vector average of is the correlation coefficient, which indicates the degree of linear correlation between variables.

[0014] As a further solution of the present invention, based on the quantitative results of the influencing factors, the geological, meteorological and hydrological data of the target area are collected, the stability of the target bedding slope is analyzed and calculated, and the loss caused by the slope instability is evaluated. The steps of generating the slope stability evaluation result are specifically as follows: S601: Based on the quantitative results of the influencing factors, collect geological, meteorological, and hydrological data of the target area, evaluate the real-time environmental conditions, and generate a real-time environmental data set; S602: Analyze the stability of the slope under current conditions based on the real-time environmental data set, calculate the stability scores of multiple positions of the slope, identify the instability risk area, and generate multi-position stability scores; S603: Based on the multi-position stability scores, assess the impact of target layer slope instability on the economy and environment, and generate a slope stability assessment result.

[0015] A layer slope stability determination system, the layer slope stability determination system is used to execute the layer slope stability determination method, the system comprises: The ultrasonic scanning module adjusts the transmitting frequency and receiving sensitivity of the ultrasonic sensor based on the position information of the bedding slope, collects the reflection data of the geological structure, optimizes the signal quality through signal processing technology, reduces the background noise, detects the position of cracks and cavities, and generates the structural image of the bedding slope; The sample analysis module collects rock and soil samples at multiple locations and depths of the target slope based on the layer slope structure image, tests and records the physical and chemical property information of the samples, and generates slope geological sample property information; The geological three-dimensional modeling module collects the external terrain feature information of the slope through ground laser scanning based on the characteristic information of the geological sample of the slope, combines the internal structure data, constructs a three-dimensional geological model of the layered slope, and generates a model construction record; The response behavior simulation module builds records based on the model, simulates the slope response behavior under various natural conditions and human activities, records the dynamic behavior and soil stress state in the simulation, evaluates the instability triggering factors under various conditions, and generates multi-scenario behavior simulation results; The stability calculation module analyzes the impact of geological structure, climate and hydrological conditions on stability based on the multi-scenario behavior simulation results, conducts quantitative analysis of influencing factors, and combines actual geological, meteorological and hydrological data to evaluate the risk of instability and economic losses, and generates slope stability assessment results.

[0016] Compared with the prior art, the advantages and positive effects of the present invention are: In the present invention, ultrasonic sensors are used to scan slopes, identify internal cracks and cavities, and discover stability problems at an early stage. Physical and chemical property measurements are combined to identify the rock and soil characteristics of the slopes. Terrain scanning is used to construct a three-dimensional geological model, simulate the interaction between soil particles and rocks in various scenarios, analyze the behavior of slopes under various natural and man-made conditions, identify the unstable behavior of slopes, evaluate the impact of various factors on slope stability, enhance the ability to take preventive measures against various risk factors, and help decision makers make accurate maintenance and intervention decisions. BRIEF DESCRIPTION OF THE DRAWINGS

[0017] Figure 1It is a schematic diagram of the workflow of the present invention; Figure 2 This is a detailed flow chart of S1 of the present invention; Figure 3 This is a detailed flow chart of S2 of the present invention; Figure 4 This is a detailed flow chart of S3 of the present invention; Figure 5 This is a detailed flow chart of S4 of the present invention; Figure 6 This is a detailed flow chart of S5 of the present invention; Figure 7 This is a detailed flow chart of S6 of the present invention; Figure 8 It is a system flow chart of the present invention. DETAILED DESCRIPTION

[0018] In order to make the purpose, technical solution and advantages of the present invention more clearly understood, the present invention is further described in detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are only used to explain the present invention and are not intended to limit the present invention.

[0019] In the description of the present invention, it should be understood that the terms "length", "width", "up", "down", "front", "back", "left", "right", "vertical", "horizontal", "top", "bottom", "inside", "outside" and the like indicate positions or positional relationships based on the positions or positional relationships shown in the drawings, and are only for the convenience of describing the present invention and simplifying the description, rather than indicating or implying that the device or element referred to must have a specific orientation, be constructed and operated in a specific orientation, and therefore cannot be understood as limiting the present invention. In addition, in the description of the present invention, "multiple" means two or more, unless otherwise clearly and specifically defined.

[0020] See also Figure 1 The present invention provides a technical solution, a method for determining the stability of a slope along a layer, comprising the following steps: S1: Based on the position information of the bedding slope, the target bedding slope is scanned using an ultrasonic sensor to record the three-dimensional geological structure image of the slope, detect the locations of cracks and cavities, and generate a bedding slope structure image; S2: Based on the layered slope structure image, collect rock and soil samples at multiple locations and depths of the target slope, measure the physical and chemical properties of the samples, and generate slope geological sample characteristic information; S3: Based on the characteristic information of the geological samples of the slope, the external terrain characteristics of the slope are measured, and the three-dimensional geological model of the slope along the layer is constructed by combining the content structure image and the rock and soil distribution, and the model construction record is generated; S4: Based on the model construction records, according to the geotechnical characteristics of multiple locations inside the slope, simulate the physical interaction between soil particles and rocks, analyze the response behavior of the slope under various conditions, identify the triggering factors of slope instability by simulating the instability behavior of the slope, and generate multi-scenario behavior simulation results; S5: Based on the multi-scenario behavior simulation results, analyze the impact of various factors on slope stability, conduct quantitative analysis of stability influencing factors, and generate quantitative results of influencing factors; S6: Based on the quantitative results of influencing factors, collect geological, meteorological and hydrological data of the target area, analyze and calculate the stability of the target bedding slope, and evaluate the losses caused by slope instability to generate slope stability assessment results.

[0021] The layered slope structure image includes the layer information of the slope, crack width and length information, and the volume and location data of the voids. The slope geological sample characteristic information includes the sample particle size distribution data, chemical mineral composition information, and soil moisture content. The model construction record includes the digital elevation model of the slope, the soil layer thickness distribution map, and the geotechnical mechanics parameters. The multi-scenario behavior simulation results include the slip probability assessment information of the slope under various rainfall conditions, the stability change simulation results under the action of earthquakes, and the soil stress state under the influence of human activities. The quantitative results of influencing factors include the sensitivity analysis results of the slope stability, the contribution of key influencing factors, and the stability change trend prediction information. The slope stability assessment results include the expected instability time window, the economic loss assessment results, and the stability score.

[0022] See also Figure 2 Based on the position information of the bedding slope, the ultrasonic sensor is used to scan the target bedding slope, record the three-dimensional geological structure image of the slope, detect the location of cracks and cavities, and generate the bedding slope structure image in the following steps: S101: Based on the position information of the slope along the layer, adjusting the transmitting frequency and receiving sensitivity of the ultrasonic sensor, collecting geological structure reflection data, and generating reflection data receiving records; In sub-step S101, based on the position information of the slope along the layer, the ultrasonic sensor is adjusted to ensure that the transmission frequency and receiving sensitivity match the reflection characteristics of the geological structure. The adjustment includes selecting a suitable sensor model, such as a high-frequency sensor for obtaining data on smaller-sized cracks, and presetting different receiving sensitivity parameters according to the geological data prediction model, such as a sensitivity enhancement factor for improving the reception capability of weak signals, monitoring real-time data feedback, and scanning geological structures at different depths. The collected geological structure reflection data is then sorted to generate a reflection data reception record including a timestamp, signal strength, and signal quality indicators.

[0023] S102: Based on the reflection data reception record, perform signal enhancement processing on the reflection data, eliminate background noise, optimize signal quality, and generate a signal processing result; In sub-step S102, based on the reflection data receiving record, the signal processing software is used to perform signal enhancement processing on the data, digital filters such as Butterworth low-pass filter and high-pass filter are used to eliminate background noise, and the appropriate cut-off frequency is set to ensure that the required geological signal is retained. The adaptive filtering technology is applied to clarify the signal, and the filtering parameters are dynamically adjusted. The optimized processed data is tested through signal quality evaluation to confirm the clarity and reliability of the signal. The generated signal processing results include enhanced geological reflection signals and a log file containing signal processing information, which provide clear and high-quality input data for creating accurate three-dimensional geological structure images.

[0024] S103: based on the signal processing result, draw a three-dimensional geological structure image of the bedding slope, identify cracks and cavities inside the slope and record position information, and generate a bedding slope structure image; In sub-step S103, the processed signal results are used to draw a three-dimensional geological structure image of the slope along the layer based on the signal processing results using three-dimensional modeling software such as AutoCAD or SolidWorks. The coordinates and signal strength of each geological signal point are input, and the target point is converted into a visual three-dimensional geological image through the geological modeling tool in the software. The crack and cavity recognition algorithm is applied, such as the image analysis technology based on machine learning, to automatically identify and mark the cracks and cavities inside the slope. The marking includes their size, shape and position. The generated slope structure image along the layer shows the internal structure of the slope, which provides key information for geological analysis and subsequent slope safety assessment.

[0025] See also Figure 3 Based on the layer slope structure image, rock and soil samples at multiple locations and depths of the target slope are collected, and the physical and chemical properties of the samples are measured. The specific steps for generating slope geological sample characteristic information are as follows: S201: Based on the bedding slope structure image, collect rock and soil samples at multiple locations of the target bedding slope, record the location information of the samples, and generate rock and soil sample collection results; In sub-step S201, multiple locations of the target slope are selected for rock and soil sample collection based on the three-dimensional geological structure image of the slope along the layer. The selection criteria include the rock layer gap width, suspected crack areas and landslide tendency areas shown on the image. Drilling equipment, such as a portable core drill, is used to drill samples. GPS coordinates are recorded for each sample location and encoded with a label system to ensure the accuracy and traceability of the sample data. During the collection process, the depth and rock layer characteristics of each sample are recorded. The target information is entered into the database and the rock and soil sample collection results are generated, showing the location, depth and rock type of each sampling point. Preliminary judgment provides basic data for subsequent physical and chemical tests.

[0026] S202: Based on the results of geotechnical sample collection, identify the types of soil and rock, and perform physical and chemical tests on the samples, including measuring density, porosity, identifying moisture content, pH, and obtaining physical and chemical test results; In sub-step S202, based on the rock and soil sample collection results, the samples are cleaned and preliminarily classified. The classification is based on the appearance characteristics of the rock such as color, texture and hardness. The density of each sample is measured using a rock densitometer, and the porosity is measured using a porosity tester. The target equipment ensures the accuracy of the measurement data. The moisture content is determined using a resistivity moisture meter, while the pH is measured using a pH meter. Each test is performed in accordance with standard operating procedures to ensure data consistency and repeatability. After the test is completed, all data is entered into the sample database to generate physical and chemical test results, including the density, porosity, moisture content and pH data of each sample, which provide basic scientific data for further analysis of the samples and stability assessment of the slope.

[0027] S203: mapping the characteristic information of the sample to the three-dimensional geological structure image according to the physical and chemical test results and the location information of the sample to generate the characteristic information of the slope geological sample; In sub-step S203, based on the results of physical and chemical tests and combined with the location information of the samples, the physical and chemical properties of the samples are mapped to the three-dimensional geological structure image using geological information system technology. The specific plug-in configured in the GIS software allows the input of the test data and coordinate position of each sample. The characteristics of each sample are accurately located at the corresponding position of the three-dimensional image. After the image is updated, the geological characteristics of each sample location can be intuitively displayed, such as density changes, moisture content and pH distribution. Through data overlay analysis, potential problem areas in the geological structure can be identified, such as landslide areas that may be caused by high porosity. The completed slope geological sample characteristic information map provides an important visual reference for engineers and geologists, facilitating more accurate geological assessments and the formulation of safety strategies.

[0028] See also Figure 4Based on the characteristic information of the slope geological sample, the external terrain characteristics of the slope are measured, and the three-dimensional geological model of the slope along the layer is constructed by combining the content structure image and the rock and soil distribution. The specific steps of generating the model construction record are as follows: S301: Based on the characteristic information of the geological sample of the slope, using ground laser scanning equipment, measuring the external terrain characteristics of the slope, obtaining terrain scanning data, including terrain height and slope data, and generating terrain scanning results; In sub-step S301, the external terrain features of the slope are measured using ground laser scanning equipment, such as LiDAR, to quickly capture the terrain contour of the slope. During the measurement process, the equipment is set to cover the entire slope area to ensure high-precision scanning without omissions. The scan includes the measurement of terrain height and the calculation of slope. The height data is calculated by the laser return time, and the slope is obtained by performing spatial gradient analysis on the height data. After the scan is completed, all terrain data are summarized to generate a terrain scanning result file, which includes a terrain height map and a slope distribution map. The target data provides a basis for slope stability analysis and subsequent three-dimensional model construction.

[0029] S302: Based on the terrain scanning result and the terrain characteristics of the target slope, a three-dimensional model of the target layer slope is constructed to generate a terrain model of the target slope; In sub-step S302, based on the terrain scanning results, a three-dimensional model of the target layer slope is constructed using AutoCAD Civil 3D or Revit. The target software supports terrain data input and builds an accurate terrain model. Terrain height and slope data are imported during the input process. The software automatically generates a three-dimensional view of the terrain based on the target data. During model construction, the accuracy of the details can be adjusted, such as setting the terrain smoothness and refinement level to meet different engineering requirements. The constructed three-dimensional terrain model presents the actual terrain characteristics of the slope, including ups and downs and slope changes. The target model provides accurate basic information for subsequent engineering design and risk assessment.

[0030] S303: Based on the target slope terrain model and in combination with the three-dimensional geological structure image of the bedding slope, the internal structure and rock and soil distribution are mapped to the geological model to generate a model construction record; In sub-step S303, the accuracy of the slope geological model is verified by calculating the distances between multiple points in the model. Assess the accuracy between points; In the formula, is the Euclidean distance between two points, ( , , ) represents the three-dimensional coordinates of a point, ( , , ) represents the three-dimensional coordinates of another point; Detailed explanation of the formula and the process of formula calculation and derivation: Assume that the coordinates of point A are (10, 20, 30) and the coordinates of point B are (40, 50, 60). Calculate the distance between the two points. result It shows that the actual distance between point A and point B is 51.96 meters. The application of this formula not only helps to verify the spatial accuracy of each point in the model, but also provides actual data support for the structural analysis of the slope, thereby guiding the evaluation and safety monitoring of the geological structure.

[0031] See also Figure 5 Based on the model construction records, according to the geotechnical characteristics of multiple locations inside the slope, the physical interaction between soil particles and rocks is simulated, the response behavior of the slope under various conditions is analyzed, and the triggering factors of slope instability are identified by simulating the instability behavior of the slope. The specific steps for generating multi-scenario behavior simulation results are as follows: S401: Based on the model construction record, according to the rock and soil type and characteristic information, the rock and soil characteristic parameters at multiple positions inside the slope are set to generate simulation initialization data; In sub-step S401, based on the completed model construction records, geotechnical characteristic parameters of multiple locations are set for slope simulation. The parameter setting process involves the input of physical properties such as geotechnical type, density, shear strength, friction angle and pore water pressure. Geological engineering analysis software such as PLAXIS is used for data input and parameter initialization, and the simulated physical environment is configured to ensure the accuracy and fidelity of the simulation data. The geophysical model of the slope is constructed through the target parameters to ensure the true reflection of the geotechnical characteristics during the simulation. After completion, a simulation initialization data package is generated, including the geotechnical parameters of each test point, to provide basic data for slope response behavior simulation.

[0032] S402: Based on the simulation initialization data, simulate the slope response behavior under various natural and artificial conditions, including rainfall, earthquake, and mining, record the dynamic behavior and reaction of the slope during the simulation process, and generate a response behavior record; In sub-step S402, based on the simulation initialization data, the response behavior simulation of the slope under various natural and artificial conditions is performed. The simulation conditions include rainfall events of different intensities, earthquake magnitudes and the impact of mining activities. Dynamic simulation is performed using simulation software such as GeoStudio. The software can simulate the rainfall infiltration process, seismic wave propagation and ground stress changes caused by mining. The simulation process records the dynamic behavior and response of the slope under each condition, such as displacement, stress changes and activation of potential slip surfaces. The recorded data describes the stability state of the slope under various scenarios. The generated response behavior records provide rich dynamic data for subsequent analysis.

[0033] S403: Based on the response behavior record, simulate the slope instability behavior, identify the instability section location and triggering factors, and generate multi-scenario behavior simulation results; In sub-step S403, based on the response behavior records, the instability behavior of the slope is simulated, the section locations and triggering factors that cause instability are identified, and the simulation tool FLAC3D is used to analyze and simulate the mechanical behavior of complex geological structures. The simulation analyzes the impact of each triggering event such as rainfall, earthquake and mining activities on the stability of the slope, identifies and records the location of the unstable section under various conditions, and analyzes the relationship with geotechnical properties, terrain and external load conditions. The generated multi-scenario behavior simulation results provide a comprehensive perspective, showing the possible instability behavior and key influencing factors of the slope under various conditions, which provides an important basis for formulating disaster prevention and mitigation measures and optimizing designs.

[0034] See also Figure 6 , based on the multi-scenario behavior simulation results, the influence of various factors on slope stability is analyzed, and the quantitative analysis of stability influencing factors is carried out. The specific steps for generating the quantitative results of influencing factors are as follows: S501: Based on the multi-scenario behavior simulation results, calculate the stress distribution data of the slope at multiple locations, analyze the impact of the geological structure on the slope stability, and generate geological structure impact data; In sub-step S501, the stress distribution data of the slope at multiple locations are calculated. Based on the results of multi-scenario behavior simulation, ANSYS and ABAQUS are used to implement mechanical behavior simulation, allowing the input of geotechnical physical properties and terrain data obtained from the behavior simulation. During the calculation process, the influence of geological structures such as rock layer inclination, fault distribution and material heterogeneity on slope stability is analyzed. The output stress distribution data shows the stress magnitude and direction at each location, and generates geological structure impact data. The data provides an important scientific basis for evaluating the potential sliding area of ​​the slope, assisting decision makers in optimizing slope management and maintenance strategies.

[0035] S502: Based on the geological structure impact data, evaluate the impact of climate and environmental conditions on slope stability, including rainfall, temperature changes, and vegetation cover, and generate environmental impact assessment information; In sub-step S502, based on the geological structure impact data, the impact of climate and environmental conditions on slope stability is evaluated. Using GIS and environmental simulation software ENVI, the target tool can integrate and analyze a large amount of environmental data, such as rainfall, temperature changes and vegetation coverage. The seasonal changes in climate conditions and historical data are considered in the analysis process to simulate their potential impact on geological structure and geotechnical properties. The results include the changing trends of slope stability under different environmental conditions, and generate environmental impact assessment information. The information provides a view for understanding how environmental factors affect slope safety and helps engineers adjust slope protection measures to adapt to different climate conditions.

[0036] S503: Based on the environmental impact assessment information, evaluate the impact of hydrological conditions on slope stability, including groundwater level and flow velocity, calculate the correlation of multiple influencing factors, and generate quantitative results of influencing factors; The specific formula for calculating the correlation of multiple influencing factors is: in, Represents a vector of measured values ​​of multiple influencing factors, represents a measure of slope stability, and They are and The vector average of is the correlation coefficient, which indicates the degree of linear correlation between variables.

[0037] formula: Detailed explanation of the formula and the process of formula calculation and derivation: The formula is used to calculate the correlation coefficient between various factors and the slope stability index, and the results are used to evaluate the strength of the correlation between the two; Parameter meaning and setting value: To consider the influencing factors, the soil moisture content is assumed to be 12, 15, 13, 16, and 14 at multiple locations; is the slope stability index, assuming that the stability of multiple locations is 0.9, 0.88, 0.85, 0.83, and 0.87, reflecting the stability of multiple locations of the slope; and They are and The average value of , ; Substitute the parameters into the formula for calculation: result A negative correlation between soil moisture content and slope stability was shown, indicating that slope stability tends to decrease with increasing moisture content, and the results are crucial for safety assessment and design of protective measures in geoengineering.

[0038] See also Figure 7 Based on the quantitative results of influencing factors, the geological, meteorological and hydrological data of the target area are collected, the stability of the target bedding slope is analyzed and calculated, and the losses caused by slope instability are evaluated. The specific steps for generating slope stability evaluation results are as follows: S601: Based on the quantitative results of the influencing factors, collect geological, meteorological, and hydrological data of the target area, evaluate the real-time environmental conditions, and generate a real-time environmental data set; In sub-step S601, based on the quantitative results of influencing factors, geological, meteorological and hydrological data of the target area are collected. Environmental data are comprehensively collected using geological survey equipment such as seismographs and drilling equipment, meteorological station equipment including anemometers and temperature and humidity sensors, and hydrological measurement tools such as water level meters and current meters. The target data is input into the central monitoring system through a real-time data transmission system, and geological changes, meteorological conditions and hydrological conditions are updated in real time. After analyzing the target data, a real-time environmental data set is generated, including soil moisture, groundwater flow rate, daily rainfall, current temperature and other information. The target data set provides an accurate basis for real-time monitoring and environmental condition assessment, and helps to adjust monitoring strategies and preventive measures in real time.

[0039] S602: Based on the real-time environmental data set, analyze the stability of the slope under current conditions, calculate the stability scores of multiple positions of the slope, identify the instability risk areas, and generate multi-position stability scores; In the above content, the slope stability score is calculated according to the formula Calculations were performed to obtain stability scores at multiple locations of the bedding slope; In the formula, Score the slope stability. Represents the geological factor score, Represents the meteorological conditions affecting the score, represents the hydrological condition impact score, , , is the weight coefficient of each factor; Detailed explanation of the formula and the process of formula calculation and derivation: Assuming that the geological score of the target slope location is 70, the meteorological score is 60, and the hydrological score is 50, the corresponding weight coefficients are , , , calculate the slope stability score : The results showed that the stability score of the slope location was 61. The calculation process was used to identify potential instability risk areas, providing a method to quantify slope stability for real-time monitoring and prevention of landslide risks.

[0040] S603: Based on the multi-position stability scores, the impact of the target layer slope failure on the economy and environment is evaluated, and the slope stability evaluation result is generated; In sub-step S603, based on the multi-position stability scores, the potential economic and environmental impacts of the target bedding slope failure are evaluated using economic assessment models and environmental impact assessment tools, such as EnviroImpact. The target tool can associate geological stability data with multiple factors such as economic costs and environmental damage. The analysis model considers the road damage, house collapse and impact on the natural ecosystem that may be caused by instability. By evaluating the direct and indirect losses caused by each instability risk area, the slope stability assessment results are generated. The results describe the possible economic losses and environmental damages and are provided to decision makers as a basis for formulating further action plans.

[0041] See also Figure 8 A layer slope stability determination system is provided, and the layer slope stability determination system is used to execute the above-mentioned layer slope stability determination method, and the system comprises: The ultrasonic scanning module adjusts the transmitting frequency and receiving sensitivity of the ultrasonic sensor based on the position information of the bedding slope, collects the reflection data of the geological structure, optimizes the signal quality through signal processing technology, reduces the background noise, detects the position of cracks and cavities, and generates the structural image of the bedding slope; The sample analysis module collects rock and soil samples at multiple locations and depths of the target slope based on the layer slope structure image, tests and records the physical and chemical properties of the samples, and generates slope geological sample property information; The geological 3D modeling module is based on the characteristic information of the slope geological samples. It collects the external terrain characteristics of the slope through ground laser scanning, combines the internal structure data, builds a 3D geological model of the slope along the layer, and generates a model construction record. The response behavior simulation module simulates the slope response behavior under various natural conditions and human activities based on the model construction record, records the dynamic behavior and soil stress state in the simulation, evaluates the instability triggering factors under various conditions, and generates multi-scenario behavior simulation results; The stability calculation module analyzes the impact of geological structure, climate and hydrological conditions on stability based on multi-scenario behavior simulation results, conducts quantitative analysis of influencing factors, and combines actual geological, meteorological and hydrological data to assess instability risks and economic losses and generate slope stability assessment results.

[0042] The above are only preferred embodiments of the present invention and are not intended to limit the present invention in other forms. Any technician familiar with the profession may use the technical contents disclosed above to change or modify them into equivalent embodiments with equivalent changes and apply them to other fields. However, any simple modification, equivalent change and modification made to the above embodiments based on the technical essence of the present invention without departing from the technical solution of the present invention still falls within the protection scope of the technical solution of the present invention.

Claims

1. A method for determining the stability of a bedding slope, characterized in that: The following steps are involved: Based on the position information of the bedding slope, the ultrasonic sensor is used to scan the target bedding slope, record the three-dimensional geological structure image of the slope, detect the location of cracks and cavities, and generate the bedding slope structure image; Based on the layer slope structure image, collecting rock and soil samples at multiple positions and depths of the target slope, measuring the physical and chemical properties of the samples, and generating slope geological sample characteristic information; Based on the characteristic information of the geological sample of the slope, the external topographic features of the slope are measured, and a three-dimensional geological model of the slope along the layer is constructed by combining the content structure image and the rock and soil distribution, and a model construction record is generated; Based on the model construction records, according to the geotechnical characteristics of multiple locations inside the slope, the physical interaction between soil particles and rocks is simulated, the response behavior of the slope under various conditions is analyzed, and by simulating the instability behavior of the slope, the triggering factors of the slope instability are identified, and multi-scenario behavior simulation results are generated; Based on the multi-scenario behavior simulation results, analyze the influence of various factors on slope stability, conduct quantitative analysis of stability influencing factors, and generate quantitative results of influencing factors; Based on the quantitative results of the influencing factors, the geological, meteorological and hydrological data of the target area are collected, the stability of the target layer slope is analyzed and calculated, and the losses caused by slope instability are evaluated to generate slope stability assessment results.

2. The method for determining the stability of a bedding slope according to claim 1, characterized in that: The layered slope structure image includes the layer information of the slope, the width and length information of the cracks, and the volume and position data of the voids. The slope geological sample characteristic information includes the sample particle size distribution data, chemical mineral composition information, and soil moisture content. The model construction record includes the digital elevation model of the slope, the soil layer thickness distribution map, and the rock and soil mechanics parameters. The multi-scenario behavior simulation results include the slip probability assessment information of the slope under various rainfall conditions, the stability change simulation results under the action of earthquakes, and the soil stress state under the influence of human activities. The quantitative results of the influencing factors include the sensitivity analysis results of the slope stability, the contribution of key influencing factors, and the stability change trend prediction information. The slope stability assessment results include the expected instability time window, the economic loss assessment results, and the stability score.

3. The method for determining the stability of a bedding slope according to claim 1, characterized in that: Based on the position information of the bedding slope, the ultrasonic sensor is used to scan the target bedding slope, record the three-dimensional geological structure image of the slope, detect the location of cracks and cavities, and generate the bedding slope structure image in the following steps: Based on the position information of the slope along the layer, the transmitting frequency and receiving sensitivity of the ultrasonic sensor are adjusted to collect the reflection data of the geological structure and generate the reception record of the reflection data; Based on the reflection data reception record, performing signal enhancement processing on the reflection data, eliminating background noise, optimizing signal quality, and generating a signal processing result; Based on the signal processing results, a three-dimensional geological structure image of the bedding slope is drawn, cracks and cavities inside the slope are identified and their position information is recorded, and a bedding slope structure image is generated.

4. The method for determining the stability of a bedding slope according to claim 1, characterized in that: Based on the layer slope structure image, rock and soil samples at multiple positions and depths of the target slope are collected, and the physical and chemical properties of the samples are measured to generate slope geological sample characteristic information. Specifically, the steps are as follows: Based on the bedding slope structure image, collecting rock and soil samples at multiple locations of the target bedding slope, recording the location information of the samples, and generating rock and soil sample collection results; Based on the rock and soil sample collection results, identify the types of soil and rock, and perform physical and chemical tests on the samples, including measuring density, porosity, identifying moisture content, pH, and obtaining physical and chemical test results; According to the physical and chemical test results and the location information of the samples, the characteristic information of the samples is mapped into the three-dimensional geological structure image to generate the characteristic information of the slope geological samples.

5. The method for determining the stability of a bedding slope according to claim 1, characterized in that: Based on the characteristic information of the slope geological sample, the external terrain characteristics of the slope are measured, and the three-dimensional geological model of the slope along the layer is constructed by combining the content structure image and the rock and soil distribution. The steps of generating the model construction record are specifically as follows: Based on the characteristic information of the geological sample of the slope, using ground laser scanning equipment, measuring the external terrain characteristics of the slope, obtaining terrain scanning data, including terrain height and slope data, and generating terrain scanning results; Based on the terrain scanning results and according to the terrain characteristics of the target slope, a three-dimensional model of the target slope is constructed to generate a terrain model of the target slope; Based on the target slope terrain model, combined with the three-dimensional geological structure image of the bedding slope, the internal structure and rock and soil distribution are mapped into the geological model to generate a model construction record.

6. The method for determining the stability of a bedding slope according to claim 1, characterized in that: Based on the model construction record, according to the geotechnical characteristics of multiple locations inside the slope, the physical interaction between soil particles and rocks is simulated, the response behavior of the slope under various conditions is analyzed, and the slope instability triggering factors are identified by simulating the instability behavior of the slope. The specific steps of generating multi-scenario behavior simulation results are as follows: Based on the model construction record, according to the rock and soil type and characteristic information, the rock and soil characteristic parameters at multiple locations inside the slope are set to generate simulation initialization data; Based on the simulation initialization data, simulate the slope response behavior under various natural and artificial conditions, including rainfall, earthquake, and mining, record the dynamic behavior and reaction of the slope during the simulation process, and generate a response behavior record; Based on the response behavior records, the slope instability behavior is simulated, the instability section location and triggering factors are identified, and multi-scenario behavior simulation results are generated.

7. The method for determining the stability of a bedding slope according to claim 1, characterized in that: Based on the multi-scenario behavior simulation results, the influence of various factors on slope stability is analyzed, and a quantitative analysis of the factors affecting stability is performed. The specific steps for generating the quantitative results of the factors affecting stability are as follows: Based on the multi-scenario behavior simulation results, calculate the stress distribution data of the slope at multiple locations, analyze the impact of the geological structure on the slope stability, and generate geological structure impact data; Based on the geological structure impact data, assess the impact of climate and environmental conditions on slope stability, including rainfall, temperature changes, vegetation cover, and generate environmental impact assessment information; Based on the environmental impact assessment information, the impact of hydrological conditions on slope stability, including groundwater level and flow velocity, is assessed, the correlation of multiple influencing factors is calculated, and quantitative results of the influencing factors are generated.

8. The method for determining the stability of a bedding slope according to claim 7, characterized in that: The specific formula for calculating the correlation of multiple influencing factors is: in, Represents a vector of measured values ​​of multiple influencing factors, represents a measure of slope stability, and They are and The vector average of is the correlation coefficient, which indicates the degree of linear correlation between variables.

9. The method for determining the stability of a bedding slope according to claim 1, characterized in that: Based on the quantitative results of the influencing factors, the geological, meteorological and hydrological data of the target area are collected, the stability of the target bedding slope is analyzed and calculated, and the losses caused by the slope instability are evaluated. The steps for generating the slope stability evaluation results are as follows: Based on the quantitative results of the influencing factors, collect geological, meteorological and hydrological data of the target area, evaluate the real-time environmental conditions, and generate a real-time environmental data set; Based on the real-time environmental data set, analyzing the stability of the slope under current conditions, calculating the stability scores of multiple positions of the slope, identifying the instability risk areas, and generating multi-position stability scores; Based on the multi-position stability scores, the economic and environmental impacts of target bedding slope instability are evaluated, and a slope stability evaluation result is generated.

10. A layer slope stability determination system, characterized in that: According to the method for determining the stability of a bedding slope according to any one of claims 1 to 9, the system comprises: The ultrasonic scanning module adjusts the transmitting frequency and receiving sensitivity of the ultrasonic sensor based on the position information of the bedding slope, collects the reflection data of the geological structure, optimizes the signal quality through signal processing technology, reduces the background noise, detects the position of cracks and cavities, and generates the structural image of the bedding slope; The sample analysis module collects rock and soil samples at multiple locations and depths of the target slope based on the layer slope structure image, tests and records the physical and chemical property information of the samples, and generates slope geological sample property information; The geological three-dimensional modeling module collects the external terrain feature information of the slope through ground laser scanning based on the characteristic information of the geological sample of the slope, combines the internal structure data, constructs a three-dimensional geological model of the layered slope, and generates a model construction record; The response behavior simulation module builds records based on the model, simulates the slope response behavior under various natural conditions and human activities, records the dynamic behavior and soil stress state in the simulation, evaluates the instability triggering factors under various conditions, and generates multi-scenario behavior simulation results; The stability calculation module analyzes the impact of geological structure, climate and hydrological conditions on stability based on the multi-scenario behavior simulation results, conducts quantitative analysis of influencing factors, and combines actual geological, meteorological and hydrological data to evaluate the risk of instability and economic losses, and generates slope stability assessment results.

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