A method and device for evaluating slope safety status

Abstract

The present invention provides a method and device for evaluating the safety status of a slope in a refined manner, and relates to the technical field of slope safety evaluation, including: obtaining the geometric characteristics of the slope; constructing a slope simulation model according to the geometric characteristics, and calculating the point safety factor of the entire slope based on the slope simulation model; obtaining monitoring data of multiple monitoring points based on the slope simulation model; constructing a hazard evaluation index based on the monitoring data; constructing a neural network model, and training the neural network model through the monitoring data and the hazard evaluation index to obtain a trained neural network model; and evaluating the safety status of each area of ​​the slope through the trained neural network model to obtain the warning level of each area. The present invention solves the problem that the prior art cannot accurately reflect the actual situation of slopes with complex geological conditions.

Description

Technical Field

[0001] The present invention relates to the technical field of slope safety evaluation, and in particular to a method and device for evaluating the safety status of a slope in a refined manner. Background Art

[0002] When conducting slope safety assessment, traditional analysis methods mainly include limit equilibrium method and numerical analysis method. The limit equilibrium method is a classic slope stability analysis method. It evaluates the stability of the slope by assuming a potential sliding surface and calculating the ratio of sliding force to anti-sliding force on the surface. This method is simple and easy to implement, but it has obvious limitations. First, it relies on reasonable assumptions about the sliding surface, which is often difficult to accurately determine in practical applications, resulting in possible deviations between the analysis results and the actual situation. Second, this method ignores the stress distribution and deformation inside the slope and cannot fully reflect the stability of the slope.

[0003] Numerical analysis is another commonly used slope stability assessment method, which evaluates the stability of the slope by calculating the plastic zone, shear strain and displacement data of the slope. This method can provide more detailed internal information of the slope, but it also has problems. Due to the great differences in geological conditions, material properties and external environment of different slopes, the same displacement data may correspond to different dangers, which makes the numerical analysis method lack a unified evaluation standard. Summary of the invention

[0004] The purpose of the present invention is to provide a method and device for evaluating the safety status of a slope in a refined manner to improve the above-mentioned problem. In order to achieve the above-mentioned purpose, the technical solution adopted by the present invention is as follows:

[0005] In the first aspect, the present application provides a method for evaluating the safety status of a slope in a refined manner, comprising:

[0006] Obtaining geometric characteristics of the slope, wherein the geometric characteristics include geometric characteristics, geological characteristics, mechanical characteristic parameters, fault and joint information, and groundwater level information;

[0007] According to the geometric characteristics, a slope simulation model is constructed, and the point safety factor of the entire slope is calculated based on the slope simulation model;

[0008] Based on the slope simulation model, monitoring data of multiple monitoring points are obtained, wherein the monitoring points are set in a dangerous area of ​​the slope simulation model, and the monitoring data include point safety factor, displacement, stress and strain, and the dangerous area of ​​the slope simulation model is a grid unit whose point safety factor is less than a preset threshold;

[0009] constructing a risk assessment index based on the monitoring data;

[0010] Constructing a neural network model, and training the neural network model using the monitoring data and the risk assessment index to obtain a trained neural network model;

[0011] The safety status of each area of ​​the slope is evaluated through the trained neural network model to obtain the warning level of each area.

[0012] In a second aspect, the present application also provides a device for evaluating the safety status of a slope in a refined manner, comprising:

[0013] A first acquisition module is used to acquire geometric characteristics of the slope, wherein the geometric characteristics include geometric characteristics, geological characteristics, mechanical characteristic parameters, fault and joint information, and groundwater level information;

[0014] A calculation module, used to construct a slope simulation model according to the geometric characteristics, and calculate the point safety factor of the entire slope based on the slope simulation model;

[0015] A second acquisition module is used to acquire monitoring data of multiple monitoring points based on the slope simulation model, wherein the monitoring points are set in a dangerous area of ​​the slope simulation model, and the monitoring data includes point safety factor, displacement, stress and strain, and the dangerous area of ​​the slope simulation model is a grid unit whose point safety factor is less than a preset threshold;

[0016] A first construction module is used to construct a risk assessment index based on the monitoring data;

[0017] The second construction module is used to construct a neural network model, and train the neural network model through the monitoring data and the risk assessment index to obtain a trained neural network model;

[0018] The evaluation module is used to evaluate the safety status of each area of ​​the slope through the trained neural network model to obtain the warning level of each area.

[0019] The beneficial effects of the present invention are as follows: the present invention restores the actual situation of the on-site slope through numerical simulation, calculates the point safety factor of the entire slope, combines the volume size and elevation information of the potential sliding body, constructs a dangerous safety factor index for the entire slope, makes a refined stability evaluation of the slope, and provides a more intuitive and accurate idea for slope prevention and control.

[0020] Other features and advantages of the present invention will be set forth in the following description, and in part will become apparent from the description, or may be understood by practicing embodiments of the present invention. BRIEF DESCRIPTION OF THE DRAWINGS

[0021] In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings required for use in the embodiments are briefly introduced below. It should be understood that the following drawings only show certain embodiments of the present invention and therefore should not be regarded as limiting the scope. For ordinary technicians in this field, other related drawings can be obtained based on these drawings without creative work.

[0022] Figure 1 It is a schematic flow chart of a method for evaluating the safety status of a slope in detail according to an embodiment of the present invention;

[0023] Figure 2 A schematic diagram of the safety factor of a target slope point in an embodiment of the present invention;

[0024] Figure 3 It is a schematic diagram of the refined safety status evaluation result of the target slope in an embodiment of the present invention;

[0025] Figure 4 It is a schematic diagram of the structure of the slope refined safety status assessment equipment described in an embodiment of the present invention.

[0026] Markings in the figure: 800, slope refined safety status assessment equipment; 801, processor; 802, memory; 803, multimedia component; 804, I / O interface; 805, communication component. DETAILED DESCRIPTION

[0027] In order to make the purpose, technical solutions and advantages of the embodiments of the present invention clearer, the technical solutions in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are part of the embodiments of the present invention, rather than all of the embodiments. The components of the embodiments of the present invention generally described and shown in the drawings here can be arranged and designed in various different configurations. Therefore, the following detailed description of the embodiments of the present invention provided in the drawings is not intended to limit the scope of the claimed invention, but merely represents selected embodiments of the present invention. Based on the embodiments in the present invention, all other embodiments obtained by ordinary technicians in this field without making creative work are within the scope of protection of the present invention.

[0028] It should be noted that similar reference numerals and letters represent similar items in the following drawings, so once an item is defined in one drawing, it does not need to be further defined and explained in the subsequent drawings. At the same time, in the description of the present invention, the terms "first", "second", etc. are only used to distinguish the description and cannot be understood as indicating or implying relative importance.

[0029] Embodiment 1:

[0030] This embodiment provides a method for evaluating the safety status of a slope in a refined manner.

[0031] See also Figure 1 , the figure shows that the method includes step S100, step S200, step S300, step S400, step S500, and step S600.

[0032] Step S100: obtaining geometric characteristics of the slope, wherein the geometric characteristics include geometric characteristics, geological characteristics, mechanical characteristic parameters, fault and joint information, and groundwater level information;

[0033] The step S100 specifically includes the following steps:

[0034] Collect the geometric features of the slope by laser radar scanning and unmanned aerial vehicle photography, wherein the geometric features include the shape, inclination, slope direction, altitude and thickness of the slope;

[0035] Obtaining samples of the rock and soil mass of the slope through field surveys, and obtaining geological characteristics of the slope through the samples, wherein the geological characteristics include rock properties, structural characteristics, fracture states, and joint distribution information;

[0036] Conducting in-situ testing and geotechnical experiments on the slope to obtain mechanical property parameters of the slope, wherein the mechanical property parameters include mass density, elastic modulus, Poisson's ratio, cohesive strength, internal friction angle, and tensile strength of the soil;

[0037] Obtaining the fault and joint information of the slope through resistivity tomography and seismic wave reflection detection, wherein the fault and joint information includes the position coordinates, extension direction, dip trend and dip angle of the fault and joint;

[0038] The dynamic change of the groundwater level of the slope is monitored by using pressure sensor and ultrasonic sensor technology to obtain the groundwater level information of the slope.

[0039] In this embodiment, the groundwater level information includes water level, pressure, permeability coefficient, etc.

[0040] Step S200: constructing a slope simulation model according to the geometric characteristics, and calculating the point safety factor of the entire slope based on the slope simulation model;

[0041] The step S200 specifically includes the following steps:

[0042] constructing a slope model based on the geometric features, geological features, fault and joint information, and groundwater level information;

[0043] Based on the slope model, construct a numerical simulation model of the slope;

[0044] Meshing the numerical simulation model to obtain a numerical simulation mesh model;

[0045] Inputting the mechanical characteristic parameters and the constitutive model into a numerical simulation grid model to obtain a slope simulation model;

[0046] Obtaining the shear strength of each grid unit in the slope simulation model, the cohesion of the soil, the internal friction angle of the soil, the normal stress, and the shear stress in the sliding direction;

[0047] Calculate the point safety factor of each grid unit according to the shear strength, the cohesion, the internal friction angle, the normal stress and the shear stress;

[0048] The point safety factor of the entire slope is obtained through the point safety factors of all grid cells.

[0049] In this embodiment, based on geometric features, geological features, fault and joint information and groundwater level information, the slope model is drawn by AUTOCAD to obtain a slope DXF file, and the DXF file is imported into Rhino software to construct a numerical simulation model.

[0050] The numerical simulation model is meshed to obtain a mesh file suitable for FLAC3D software, namely, a numerical simulation mesh model. Then, the numerical simulation mesh model is given mechanical characteristic parameters and a constitutive model to obtain a slope simulation model, wherein the constitutive model can adopt the Mohr-Coulomb constitutive model and other constitutive models.

[0051] In this embodiment, the calculation formula of the point safety factor is:

[0052]

[0053] In the formula, F Di represents the point safety factor of the i-th grid unit in the slope simulation model, τ ui represents the shear strength of the i-th grid unit, τ i represents the shear stress in the sliding direction of the ith grid element, c i represents the cohesion of the soil in the ith grid unit, represents the internal friction angle of the soil in the i-th grid unit, σ ni represents the normal stress of the ith grid element.

[0054] In this embodiment, Figure 2 As shown in the figure, the point safety factor of the slope as a whole is calculated for a certain target slope. Figure 2 It can be seen that there are a large number of areas with point safety factors less than 1.15 at the toe and middle of the target slope, which are dangerous areas of the slope simulation model.

[0055] Step S300: Based on the slope simulation model, monitoring data of multiple monitoring points are obtained, wherein the monitoring points are set in a dangerous area of ​​the slope simulation model, and the monitoring data include point safety factor, displacement, stress and strain, and the dangerous area of ​​the slope simulation model is a grid unit whose point safety factor is less than a preset threshold;

[0056] The dangerous areas of the slope simulation model require special attention, so very dense monitoring points need to be set up.

[0057] In this embodiment, a monitoring point is set at a distance of 1 m, and the specific value of the point safety factor, displacement, stress and strain data of the point are recorded at the same time, and the four types of data are saved according to the sequence number of the monitoring point.

[0058] Step S400: constructing a risk assessment index based on the monitoring data;

[0059] The step S400 specifically includes the following steps:

[0060] According to the magnitude of the point safety factor, the point safety factor is divided into a plurality of point safety factor stages;

[0061] Setting the point safety factor hazard index coefficient corresponding to each point safety factor stage, and calculating the area and elevation of the distribution area corresponding to each point safety factor stage;

[0062] In this embodiment, the target slope is divided into a plurality of point safety factor stages. The point safety factor of the target slope is mainly distributed between 1 and 1.5. The point safety factor is divided into five stages as shown in Table 1. Table 1 is a table of point safety factor hazard index coefficients.

[0063] Table 1

[0064] Point safety factor stage Point safety factor size Point safety factor Hazard index factor Point Safety Factor Stage 5 1～1.1 1.0 Point Safety Factor Stage 4 1.1～1.2 0.8 Point Safety Factor Stage 3 1.2～1.3 0.6 Point Safety Factor Stage 2 1.3～1.4 0.4 Point Safety Factor Stage 1 1.4～1.5 0.2

[0065] Dividing the area into a plurality of area stages, and setting an area hazard index coefficient corresponding to each of the area stages;

[0066] Divide the elevation into a plurality of elevation stages, and set an elevation hazard index coefficient corresponding to each elevation stage, wherein the elevation is the height of the centroid position of the corresponding distribution area;

[0067] In this example, the length of the target slope is 100m, the slope height is 20m, and the cross-sectional area of ​​the main area of ​​the target slope is 2150m. 2 Therefore, according to the geometric characteristics of the target slope, the area hazard index coefficient table and the elevation hazard index coefficient table are set as shown in Table 2 and Table 3 respectively.

[0068] Table 2

[0069] Area stage <![CDATA[Area of the corresponding region (m 2 )]]> Area hazard index coefficient Area Phase I 1～50 0.2 Area Phase II 50～100 0.4 Area Phase III 100～150 0.6 Area Phase IV 150～200 0.8 Area Phase 5 More than 200 1

[0070] Table 3

[0071]

[0072]

[0073] Constructing a hazard evaluation index coefficient through the point safety factor hazard index coefficient, the area hazard index coefficient and the elevation hazard index coefficient;

[0074] The formula of the risk assessment index coefficient is:

[0075]

[0076] In the formula, represents the coefficient of risk assessment index, Indicates the point safety factor hazard index coefficient, Represents the area hazard index coefficient, Represents the elevation hazard index coefficient.

[0077] The hazard evaluation index of the entire slope is constructed by using the hazard evaluation index coefficient, the size of the point safety factor, the area and the elevation.

[0078] The calculation formula of the risk assessment index is:

[0079]

[0080] In the formula, DC represents the risk assessment index, F Di represents the point safety factor of the i-th grid unit in the slope simulation model, S represents the area of ​​the corresponding area, h represents the elevation of the corresponding area, Represents the hazard assessment index coefficient.

[0081] Step S500: constructing a neural network model, and training the neural network model using the monitoring data and the risk assessment index to obtain a trained neural network model;

[0082] In this embodiment, the monitoring data is collated and analyzed, the recorded displacement data is preliminarily cleaned to remove invalid or abnormal data points, and then standardized to meet the requirements of the neural network model input. Finally, the hazard assessment index DC of each monitoring area calculated through the above steps is used as input data and output data to construct samples for neural network model training.

[0083] All samples are divided into a training set and a test set, and the neural network model is trained and tested using the training set and the test set to obtain a trained neural network model.

[0084] In this embodiment, all samples are divided according to a ratio of 4:1, that is, 80% of the samples are used for training and 20% of the samples are used for prediction. By dividing the samples into training sets and test sets, the prediction accuracy of the model can be improved, so that the neural network model has higher prediction ability and better adaptability.

[0085] Step S600: Evaluate the safety status of each area of ​​the slope through the trained neural network model to obtain the warning level of each area.

[0086] The step S600 specifically includes the following steps:

[0087] Based on the monitoring points in the slope simulation model, monitoring equipment is arranged at corresponding points in the slope;

[0088] Based on the monitoring equipment, each area of ​​the slope is monitored in real time to obtain actual monitoring data, which includes point safety factor, displacement, stress and strain;

[0089] The actual monitoring data is input into the trained neural network model for calculation to obtain the hazard evaluation index of each area of ​​the slope;

[0090] Construct warning levels through risk assessment indicators;

[0091] Based on the hazard evaluation index of each area of ​​the slope, the warning level of each area of ​​the slope is obtained.

[0092] In this embodiment, in combination with the volume of the target slope and other parameter characteristics, a warning level comparison table based on the refined risk assessment index of the slope area is constructed as shown in Table 4, which is divided into four warning levels in total.

[0093] Table 4

[0094]

[0095]

[0096] like Figure 3 The following is the result of the refined safety status evaluation of the target slope in this embodiment. Figure 3 Different colors are used to indicate different warning levels.

[0097] from Figure 3The more dangerous areas can be seen intuitively. In the area of ​​warning level IV, it is necessary to add anchor rods with completely penetrating anchor sections. In the area of ​​warning level III at the foot of the slope, it is necessary to add retaining walls and other reinforcement measures. In the areas of warning level II and warning level I, certain frame beams can be arranged to reinforce the slope surface.

[0098] Therefore, the present invention uses numerical simulation to make a preliminary judgment on the stability of the entire slope based on the point safety factor of the actual slope, sets monitoring points, obtains the displacement, stress and strain data of the monitoring points, constructs a regional refined hazard evaluation index, and obtains three types of data from the actual slope monitoring points based on neural network model training, directly makes a refined hazard evaluation of the entire slope, and carries out targeted early warning.

[0099] And based on the classification of the warning levels, the warning platform feeds back the warning information to the safety monitoring personnel in real time according to the obtained warning levels, so that the potential dangers of the slope can be promptly checked or reinforcement measures can be taken in a timely manner.

[0100] Embodiment 2:

[0101] This embodiment provides a device for evaluating the safety status of a slope in a refined manner, the device comprising:

[0102] A first acquisition module is used to acquire geometric characteristics of the slope, wherein the geometric characteristics include geometric characteristics, geological characteristics, mechanical characteristic parameters, fault and joint information, and groundwater level information;

[0103] A calculation module, used to construct a slope simulation model according to the geometric characteristics, and calculate the point safety factor of the entire slope based on the slope simulation model;

[0104] A second acquisition module is used to acquire monitoring data of multiple monitoring points based on the slope simulation model, wherein the monitoring points are set in a dangerous area of ​​the slope simulation model, and the monitoring data includes point safety factor, displacement, stress and strain, and the dangerous area of ​​the slope simulation model is a grid unit whose point safety factor is less than a preset threshold;

[0105] A first construction module is used to construct a risk assessment index based on the monitoring data;

[0106] The second construction module is used to construct a neural network model, and train the neural network model through the monitoring data and the risk assessment index to obtain a trained neural network model;

[0107] The evaluation module is used to evaluate the safety status of each area of ​​the slope through the trained neural network model to obtain the warning level of each area.

[0108] The calculation module comprises:

[0109] A first construction unit is used to construct a slope model according to the geometric features, geological features, fault and joint information and groundwater level information;

[0110] A second construction unit is used to construct a numerical simulation model of the slope based on the slope model;

[0111] A mesh division unit, used for performing mesh division on the numerical simulation model to obtain a numerical simulation mesh model;

[0112] The third construction unit is used to input the mechanical characteristic parameters and the constitutive model into the numerical simulation grid model to obtain a slope simulation model.

[0113] The calculation module also includes:

[0114] A first acquisition unit is used to acquire the shear strength of each grid unit in the slope simulation model, the cohesion of the soil, the internal friction angle of the soil, the normal stress, and the shear stress in the sliding direction;

[0115] A first calculation unit is used to calculate the point safety factor of each grid unit according to the shear strength, the cohesion, the internal friction angle, the normal stress and the shear stress;

[0116] The second calculation unit is used to obtain the point safety factor of the entire slope through the point safety factors of all grid cells.

[0117] The first building block comprises:

[0118] A first division unit, configured to divide the point safety factor into a plurality of point safety factor stages according to the size of the point safety factor;

[0119] The third calculation unit is used to set the point safety factor hazard index coefficient corresponding to each point safety factor stage, and calculate the area and elevation of the distribution area corresponding to each point safety factor stage;

[0120] A second division unit is used to divide the area into a plurality of area stages and set an area hazard index coefficient corresponding to each of the area stages;

[0121] A third division unit is used to divide the elevation into a plurality of elevation stages, and set an elevation hazard index coefficient corresponding to each elevation stage, wherein the elevation is the height of the centroid position of the corresponding distribution area;

[0122] A fourth construction unit is used to construct a risk assessment index coefficient through the point safety factor risk index coefficient, the area risk index coefficient and the elevation risk index coefficient;

[0123] The fifth construction unit is used to construct a hazard assessment index for the entire slope through the hazard assessment index coefficient, the size of the point safety factor, the area and the elevation.

[0124] The evaluation module includes:

[0125] A monitoring setting unit, used for arranging monitoring equipment at corresponding points in the slope based on monitoring points in the slope simulation model;

[0126] A monitoring unit, used to perform real-time monitoring of various areas of the slope based on the monitoring equipment to obtain actual monitoring data, wherein the actual monitoring data includes point safety factor, displacement, stress and strain;

[0127] The fourth calculation unit is used to input the actual monitoring data into the trained neural network model for calculation to obtain the hazard evaluation index of each area of ​​the slope;

[0128] The sixth construction unit is used to construct a warning level through a risk assessment index;

[0129] The evaluation unit obtains the warning level of each area of ​​the slope based on the hazard evaluation index of each area of ​​the slope.

[0130] It should be noted that, regarding the device in the above embodiment, the specific manner in which each module performs the operation has been described in detail in the embodiment of the method, and will not be elaborated here.

[0131] Embodiment 3:

[0132] Corresponding to the above method embodiment, this embodiment also provides a slope refined safety status evaluation device. The slope refined safety status evaluation device described below and the slope refined safety status evaluation method described above can refer to each other.

[0133] Figure 4 FIG. 8 is a block diagram of a slope detailed safety status evaluation device 800 according to an exemplary embodiment. Figure 4 As shown, the slope refined safety status evaluation device 800 may include: a processor 801 and a memory 802. The slope refined safety status evaluation device 800 may also include one or more of a multimedia component 803, an I / O interface 804, and a communication component 805.

[0134] The processor 801 is used to control the overall operation of the slope fine safety status evaluation device 800 to complete all or part of the steps in the above-mentioned slope fine safety status evaluation method. The memory 802 is used to store various types of data to support the operation of the slope fine safety status evaluation device 800, and these data may include, for example, instructions for any application or method operating on the slope fine safety status evaluation device 800, and application-related data, such as contact data, sent and received messages, pictures, audio, video, etc. The memory 802 can be implemented by any type of volatile or non-volatile storage device or a combination thereof, such as static random access memory (SRAM), electrically erasable programmable read-only memory (EEPROM), erasable programmable read-only memory (EPROM), programmable read-only memory (PROM), read-only memory (ROM), magnetic memory, flash memory, disk or optical disk. The multimedia component 803 may include a screen and an audio component. The screen may be, for example, a touch screen, and the audio component is used to output and / or input audio signals. For example, the audio component may include a microphone, which is used to receive external audio signals. The received audio signal may be further stored in the memory 802 or sent via the communication component 805. The audio component also includes at least one speaker for outputting audio signals. The I / O interface 804 provides an interface between the processor 801 and other interface modules, and the above-mentioned other interface modules can be keyboards, mice, buttons, etc. These buttons can be virtual buttons or physical buttons. The communication component 805 is used for wired or wireless communication between the slope refined safety status assessment device 800 and other devices. Wireless communication, such as Wi-Fi, Bluetooth, Near Field Communication (NFC), 2G, 3G or 4G, or a combination of one or more of them, so the corresponding communication component 805 can include: Wi-Fi module, Bluetooth module, NFC module.

[0135] In an exemplary embodiment, the slope refined safety status assessment device 800 can be implemented by one or more application specific integrated circuits (Application Specific Integrated Circuit, referred to as ASIC), digital signal processors (Digital Signal Processor, referred to as DSP), digital signal processing devices (Digital Signal Processing Device, referred to as DSPD), programmable logic devices (Programmable Logic Device, referred to as PLD), field programmable gate arrays (Field Programmable Gate Array, referred to as FPGA), controllers, microcontrollers, microprocessors or other electronic components to execute the above-mentioned slope refined safety status assessment method.

[0136] In another exemplary embodiment, a computer-readable storage medium including program instructions is also provided, and when the program instructions are executed by a processor, the steps of the above-mentioned slope refined safety status evaluation method are implemented. For example, the computer-readable storage medium can be the above-mentioned memory 802 including program instructions, and the above-mentioned program instructions can be executed by the processor 801 of the slope refined safety status evaluation device 800 to complete the above-mentioned slope refined safety status evaluation method.

[0137] Embodiment 4:

[0138] Corresponding to the above method embodiment, a readable storage medium is also provided in this embodiment. The readable storage medium described below and the slope refined safety status evaluation method described above can be referred to each other.

[0139] A readable storage medium stores a computer program, which, when executed by a processor, implements the steps of the slope refined safety status evaluation method of the above method embodiment.

[0140] The readable storage medium may specifically be a U disk, a mobile hard disk, a read-only memory (ROM), a random access memory (RAM), a magnetic disk or an optical disk, or other readable storage medium that can store program codes.

[0141] The above description is only a preferred embodiment of the present invention and is not intended to limit the present invention. For those skilled in the art, the present invention may have various modifications and variations. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present invention shall be included in the protection scope of the present invention.

[0142] The above description is only a specific implementation mode of the present invention, but the protection scope of the present invention is not limited thereto. Any technician familiar with the technical field can easily think of changes or substitutions within the technical scope disclosed by the present invention, which should be covered by the protection scope of the present invention.

Claims

1. A method for evaluating the safety status of a slope in a refined manner, characterized in that: include: Obtaining geometric characteristics of the slope, wherein the geometric characteristics include geometric characteristics, geological characteristics, mechanical characteristic parameters, fault and joint information, and groundwater level information; According to the geometric characteristics, a slope simulation model is constructed, and the point safety factor of the entire slope is calculated based on the slope simulation model; Based on the slope simulation model, monitoring data of multiple monitoring points are obtained, wherein the monitoring points are set in a dangerous area of ​​the slope simulation model, and the monitoring data include point safety factor, displacement, stress and strain, and the dangerous area of ​​the slope simulation model is a grid unit whose point safety factor is less than a preset threshold; constructing a risk assessment index based on the monitoring data; Constructing a neural network model, and training the neural network model using the monitoring data and the risk assessment index to obtain a trained neural network model; The safety status of each area of ​​the slope is evaluated by the trained neural network model to obtain the warning level of each area; Constructing risk assessment indicators based on the monitoring data, including: According to the magnitude of the point safety factor, the point safety factor is divided into a plurality of point safety factor stages; Setting the point safety factor hazard index coefficient corresponding to each point safety factor stage, and calculating the area and elevation of the distribution area corresponding to each point safety factor stage; Dividing the area into a plurality of area stages, and setting an area hazard index coefficient corresponding to each of the area stages; Divide the elevation into a plurality of elevation stages, and set an elevation hazard index coefficient corresponding to each elevation stage, wherein the elevation is the height of the centroid position of the corresponding distribution area; Constructing a hazard evaluation index coefficient through the point safety factor hazard index coefficient, the area hazard index coefficient and the elevation hazard index coefficient; The hazard evaluation index of the entire slope is constructed by using the hazard evaluation index coefficient, the size of the point safety factor, the area and the elevation.

2. The slope safety condition evaluation method according to claim 1 is characterized in that ,According to the geometric characteristics, a slope simulation model is constructed, ,including: constructing a slope model based on the geometric features, geological features, fault and joint information, and groundwater level information; Based on the slope model, construct a numerical simulation model of the slope; Meshing the numerical simulation model to obtain a numerical simulation mesh model; The mechanical characteristic parameters and the constitutive model are input into the numerical simulation grid model to obtain a slope simulation model.

3. The slope safety condition evaluation method according to claim 1 is characterized in that ,Calculate the point safety factor of the whole slope based on the slope simulation model, including: Obtaining the shear strength of each grid unit in the slope simulation model, the cohesion of the soil, the internal friction angle of the soil, the normal stress, and the shear stress in the sliding direction; Calculate the point safety factor of each grid unit according to the shear strength, the cohesion, the internal friction angle, the normal stress and the shear stress; The point safety factor of the entire slope is obtained through the point safety factors of all grid cells.

4. The slope safety condition evaluation method according to claim 1 is characterized in that ,The safety status of each area of ​​the slope is evaluated through the trained neural network model, and the warning level of each area is obtained, including: Based on the monitoring points in the slope simulation model, monitoring equipment is arranged at corresponding points in the slope; Based on the monitoring equipment, each area of ​​the slope is monitored in real time to obtain actual monitoring data, which includes point safety factor, displacement, stress and strain; The actual monitoring data is input into the trained neural network model for calculation to obtain the hazard evaluation index of each area of ​​the slope; Construct warning levels through risk assessment indicators; Based on the hazard evaluation index of each area of ​​the slope, the warning level of each area of ​​the slope is obtained.

5. A device for evaluating the safety status of a slope in a refined manner, characterized in that: include: A first acquisition module is used to acquire geometric characteristics of the slope, wherein the geometric characteristics include geometric characteristics, geological characteristics, mechanical characteristic parameters, fault and joint information, and groundwater level information; A calculation module, used to construct a slope simulation model according to the geometric characteristics, and calculate the point safety factor of the entire slope based on the slope simulation model; A second acquisition module is used to acquire monitoring data of multiple monitoring points based on the slope simulation model, wherein the monitoring points are set in a dangerous area of ​​the slope simulation model, and the monitoring data includes point safety factor, displacement, stress and strain, and the dangerous area of ​​the slope simulation model is a grid unit whose point safety factor is less than a preset threshold; A first construction module is used to construct a risk assessment index based on the monitoring data; The second construction module is used to construct a neural network model, and train the neural network model through the monitoring data and the risk assessment index to obtain a trained neural network model; An evaluation module, used to evaluate the safety status of each area of ​​the slope through a trained neural network model to obtain a warning level for each area; The first building block comprises: A first division unit, configured to divide the point safety factor into a plurality of point safety factor stages according to the size of the point safety factor; The third calculation unit is used to set the point safety factor hazard index coefficient corresponding to each point safety factor stage, and calculate the area and elevation of the distribution area corresponding to each point safety factor stage; A second division unit is used to divide the area into a plurality of area stages and set an area hazard index coefficient corresponding to each of the area stages; A third division unit is used to divide the elevation into a plurality of elevation stages, and set an elevation hazard index coefficient corresponding to each elevation stage, wherein the elevation is the centroid position height of the corresponding distribution area; A fourth construction unit is used to construct a risk assessment index coefficient through the point safety factor risk index coefficient, the area risk index coefficient and the elevation risk index coefficient; The fifth construction unit is used to construct a hazard assessment index for the entire slope through the hazard assessment index coefficient, the size of the point safety factor, the area and the elevation.

6. The device for evaluating the safety status of a slope in detail according to claim 5, characterized in that: The calculation module comprises: A first construction unit is used to construct a slope model according to the geometric features, geological features, fault and joint information and groundwater level information; A second construction unit is used to construct a numerical simulation model of the slope based on the slope model; A mesh division unit, used for performing mesh division on the numerical simulation model to obtain a numerical simulation mesh model; The third construction unit is used to input the mechanical characteristic parameters and the constitutive model into the numerical simulation grid model to obtain a slope simulation model.

7. The device for evaluating the safety status of a slope in detail according to claim 6 is characterized in that: The calculation module also includes: A first acquisition unit is used to acquire the shear strength of each grid unit in the slope simulation model, the cohesion of the soil, the internal friction angle of the soil, the normal stress, and the shear stress in the sliding direction; A first calculation unit is used to calculate the point safety factor of each grid unit according to the shear strength, the cohesion, the internal friction angle, the normal stress and the shear stress; The second calculation unit is used to obtain the point safety factor of the entire slope through the point safety factors of all grid cells.

8. The device for evaluating slope safety conditions in detail according to claim 5 is characterized in that: The evaluation module includes: A monitoring setting unit, used for arranging monitoring equipment at corresponding points in the slope based on monitoring points in the slope simulation model; A monitoring unit, used to perform real-time monitoring of various areas of the slope based on the monitoring equipment to obtain actual monitoring data, wherein the actual monitoring data includes point safety factor, displacement, stress and strain; The fourth calculation unit is used to input the actual monitoring data into the trained neural network model for calculation to obtain the hazard evaluation index of each area of ​​the slope; The sixth construction unit is used to construct a warning level through a risk assessment index; The evaluation unit obtains the warning level of each area of ​​the slope based on the hazard evaluation index of each area of ​​the slope.

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