Slope stability assessment method and device

Abstract

The invention discloses a slope stability assessment method and device, and relates to the field of slope monitoring and assessment, and the method comprises the steps: obtaining the environment monitoring data of a to-be-assessed slope area; the environment monitoring data comprises displacement data, pressure data, stress data, soil data and underground water data; performing distribution characteristic analysis on the displacement data, the pressure data and the stress data to obtain a plurality of first distribution characteristics; performing significance analysis on the soil data and the underground water data to obtain a soil influence weight and an underground water influence weight; constructing a plurality of stability analysis results and a plurality of stability probability distributions in combination with the plurality of first distribution characteristics according to a plurality of preset working conditions; and fitting the environment monitoring data, the plurality of first distribution characteristics, the soil influence weight, the underground water influence weight, the plurality of stability analysis results and the plurality of stability probability distributions, constructing a slope stability evaluation model, and evaluating the stability of the slope area in combination with the real-time environment monitoring data.

Description

Technical Field

[0001] The present application relates to the field of slope monitoring and evaluation, and in particular to a slope stability evaluation method and device. Background Art

[0002] Transmission towers are usually built on stable and flat slopes. As an important power transmission mechanism of the power grid system, the site selection of transmission towers directly affects the reliable operation of the power grid system. Therefore, it is necessary to monitor and evaluate the stability of the slope where the transmission tower is located.

[0003] In the existing slope stability assessment methods, physical experimental methods such as indoor experiments are usually used, such as triaxial compression experiments and bending element experiments, and experimental data are collected to further assess the stability of the slope. This method has a certain delay and cannot quickly obtain the stability assessment results of the slope area to be assessed. At the same time, it is difficult to cover the many factors affecting slope stability, resulting in insufficient accuracy in slope stability assessment. Therefore, how to improve the accuracy of slope stability assessment is still a technical problem that needs to be solved in the existing technology. Summary of the invention

[0004] The present application provides a slope stability assessment method and device to solve the technical problem that it is difficult to improve the accuracy of existing slope stability assessments.

[0005] According to a first aspect of an embodiment of the present application, a slope stability assessment method is provided, comprising:

[0006] Obtaining environmental monitoring data of the slope area to be evaluated; wherein the environmental monitoring data includes displacement data, pressure data, stress data, soil data and groundwater data;

[0007] Performing distribution characteristic analysis on the displacement data, the pressure data, and the stress data to obtain a plurality of first distribution characteristics;

[0008] Based on a preset significance analysis method, a significance analysis is performed on the soil data and the groundwater data to obtain a soil impact weight and a groundwater impact weight;

[0009] According to the preset multiple working conditions and in combination with the multiple first distribution features, construct multiple stability analysis results and corresponding multiple stability probability distributions of the slope area;

[0010] The environmental monitoring data, the multiple first distribution characteristics, the soil impact weight, the groundwater impact weight, the multiple stability analysis results and the multiple stability probability distributions are fitted to construct a slope stability assessment model, and the stability of the slope area is evaluated based on the real-time environmental monitoring data of the slope area and the slope stability assessment model.

[0011] The present application first obtains environmental monitoring data of the slope area to be evaluated, and performs distribution characteristic analysis on the displacement data, pressure data and stress data therein to obtain multiple first distribution characteristics, so as to obtain the distribution characteristics of displacement, pressure and stress, and then performs significance analysis on the soil data and groundwater data therein to obtain soil impact weight and groundwater impact weight. By adding soil and groundwater as influencing factors and obtaining the impact weights through significance analysis, the influence of soil and groundwater on slope stability can be studied, thereby improving the accuracy of slope stability assessment. Then, according to multiple preset working conditions and multiple first distribution characteristics, multiple stability analysis results and corresponding stability probability distributions are constructed, so as to study the changes in slope stability under different working conditions and improve the comprehensiveness of slope stability assessment. Then, the environmental monitoring data, multiple first distribution characteristics, soil impact weights, groundwater impact weights, multiple stability analysis results and corresponding stability probability distributions are fitted to construct a slope stability assessment model, so as to improve the accuracy when performing slope stability assessment according to real-time environmental monitoring data.

[0012] In certain embodiments of the present application, the obtaining of environmental monitoring data of the slope area to be evaluated specifically includes:

[0013] Obtain initial monitoring data of the slope area to be evaluated through sensors;

[0014] De-noising and standardizing the initial monitoring data to obtain first monitoring data;

[0015] Perform time series analysis on the first monitoring data to obtain environmental monitoring data.

[0016] The present application first obtains initial monitoring data through a sensor and performs denoising and standardization to obtain first monitoring data, which can eliminate noise data and improve the degree of data standardization. Then, a time series analysis is performed on the first monitoring data to obtain environmental monitoring data, which can make the environmental monitoring data more in line with the actual needs of the task.

[0017] In certain embodiments of the present application, the distribution characteristics of the displacement data, the pressure data, and the stress data are analyzed to obtain a plurality of first distribution characteristics, specifically including:

[0018] Performing regression analysis on the displacement data to obtain displacement analysis data, and obtaining a first distribution feature corresponding to the displacement data based on the displacement analysis data and a displacement vector diagram corresponding to the displacement data;

[0019] Performing feature analysis on the pressure data to obtain pressure analysis data, and obtaining a first distribution feature corresponding to the pressure data based on the pressure analysis data and abnormal pressure data of the pressure data;

[0020] A feature analysis is performed on the stress data to obtain stress analysis data, and a first distribution feature corresponding to the stress data is obtained based on the stress analysis data and a stress cloud map corresponding to the stress data.

[0021] The present application performs regression analysis or feature analysis on displacement data, pressure data and stress data respectively, and obtains a first distribution feature based on the corresponding displacement vector diagram, abnormal pressure data and stress cloud diagram, which can make the first distribution feature closer to the actual situation of the corresponding types of data, thereby improving the accuracy of constructing a slope stability assessment model.

[0022] In certain embodiments of the present application, the soil data and the groundwater data are subjected to a significance analysis based on a preset significance analysis method to obtain a soil impact weight and a groundwater impact weight, specifically including:

[0023] Based on a preset fluctuation threshold, respectively identifying the fluctuation data of the soil data and the groundwater data to obtain soil fluctuation data and groundwater fluctuation data;

[0024] Based on a preset significance analysis method and a preset slope analysis model, significance analysis is performed on the soil fluctuation data and the groundwater fluctuation data to obtain a soil impact weight and a groundwater impact weight.

[0025] This application first identifies the fluctuation data of soil data and groundwater data based on a preset fluctuation threshold, and then performs a significance analysis to obtain the impact weights of soil and groundwater. The fluctuation data can better reflect the degree of influence of soil or groundwater on slope stability, so that the impact weights obtained by the significance analysis are more in line with their respective actual impacts.

[0026] In certain embodiments of the present application, the multiple stability analysis results and corresponding multiple stability probability distributions of the slope area are constructed according to the preset multiple working conditions and in combination with the multiple first distribution features, specifically including:

[0027] Randomly sampling the multiple first distribution features respectively to obtain multiple second distribution features;

[0028] According to the multiple parameter distributions, the multiple second distribution characteristics are fitted to obtain multiple stability analysis results corresponding to the multiple parameter distributions and corresponding multiple stability probability distributions; wherein the multiple parameter distributions are set based on the multiple preset working conditions.

[0029] The present application first randomly samples multiple first distribution features to obtain multiple second distribution features, and then fits the multiple second distribution features according to multiple parameter distributions set for multiple preset working conditions to obtain multiple stability analysis results and corresponding stability probability distributions. Random sampling can reduce the tendency of the data, and then multiple parameter distributions are set and fitted according to multiple working conditions, which can study the changes in slope stability under different working conditions, improve the comprehensiveness of slope stability assessment, and thus improve the accuracy of slope stability assessment.

[0030] According to a second aspect of the implementation of the present application, there is provided a slope stability assessment device, including a monitoring data acquisition module, a distribution feature analysis module, a significance analysis module, a probability distribution analysis module and a model building assessment module;

[0031] The monitoring data acquisition module is used to acquire environmental monitoring data of the slope area to be evaluated; wherein the environmental monitoring data includes displacement data, pressure data, stress data, soil data and groundwater data;

[0032] The distribution feature analysis module is used to perform distribution feature analysis on the displacement data, the pressure data and the stress data to obtain a plurality of first distribution features;

[0033] The significance analysis module is used to perform significance analysis on the soil data and the groundwater data based on a preset significance analysis method to obtain a soil impact weight and a groundwater impact weight;

[0034] The probability distribution analysis module is used to construct multiple stability analysis results and corresponding multiple stability probability distributions of the slope area according to multiple preset working conditions and in combination with the multiple first distribution features;

[0035] The model building and evaluation module is used to fit the environmental monitoring data, the multiple first distribution characteristics, the soil impact weights, the groundwater impact weights, the multiple stability analysis results and the multiple stability probability distributions to build a slope stability evaluation model, and evaluate the stability of the slope area based on the real-time environmental monitoring data of the slope area and the slope stability evaluation model.

[0036] In certain embodiments of the present application, the monitoring data acquisition module includes a data acquisition unit, a data processing unit, and a time series analysis unit;

[0037] The data acquisition unit is used to acquire initial monitoring data of the slope area to be evaluated through a sensor;

[0038] The data processing unit is used to perform denoising and standardization on the initial monitoring data to obtain first monitoring data;

[0039] The time series analysis unit is used to perform time series analysis on the first monitoring data to obtain environmental monitoring data.

[0040] In certain embodiments of the present application, the distribution characteristic analysis module includes a displacement analysis unit, a pressure analysis unit, and a stress analysis unit;

[0041] The displacement analysis unit is used to perform regression analysis on the displacement data to obtain displacement analysis data, and obtain a first distribution feature corresponding to the displacement data based on the displacement analysis data and a displacement vector diagram corresponding to the displacement data;

[0042] The pressure analysis unit is used to perform feature analysis on the pressure data to obtain pressure analysis data, and obtain a first distribution feature corresponding to the pressure data based on the pressure analysis data and abnormal pressure data of the pressure data;

[0043] The stress analysis unit is used to perform feature analysis on the stress data to obtain stress analysis data, and obtain a first distribution feature corresponding to the stress data based on the stress analysis data and a stress cloud map corresponding to the stress data.

[0044] In certain embodiments of the present application, the significance analysis module includes a data identification unit and a weight analysis unit;

[0045] The data identification unit is used to identify the fluctuation data of the soil data and the groundwater data respectively based on a preset fluctuation threshold value to obtain soil fluctuation data and groundwater fluctuation data;

[0046] The weight analysis unit is used to perform significance analysis on the soil fluctuation data and the groundwater fluctuation data respectively based on a preset significance analysis method and a preset slope analysis model to obtain a soil impact weight and a groundwater impact weight.

[0047] In certain embodiments of the present application, the probability distribution analysis module includes a random sampling unit and a fitting analysis unit;

[0048] The random sampling unit is used to randomly sample the multiple first distribution features respectively to obtain multiple second distribution features;

[0049] The fitting analysis unit is used to fit the multiple second distribution characteristics according to the multiple parameter distributions to obtain multiple stability analysis results and corresponding multiple stability probability distributions corresponding to the multiple parameter distributions; wherein the multiple parameter distributions are set based on the preset multiple working conditions.

[0050] The present application first obtains environmental monitoring data of the slope area to be evaluated, and performs distribution characteristic analysis on the displacement data, pressure data and stress data therein to obtain multiple first distribution characteristics, so as to obtain the distribution characteristics of displacement, pressure and stress, and then performs significance analysis on the soil data and groundwater data therein to obtain soil impact weight and groundwater impact weight. By adding soil and groundwater as influencing factors and obtaining the impact weights through significance analysis, the influence of soil and groundwater on slope stability can be studied, thereby improving the accuracy of slope stability assessment. Then, according to multiple preset working conditions and multiple first distribution characteristics, multiple stability analysis results and corresponding stability probability distributions are constructed, so as to study the changes in slope stability under different working conditions and improve the comprehensiveness of slope stability assessment. Then, the environmental monitoring data, multiple first distribution characteristics, soil impact weights, groundwater impact weights, multiple stability analysis results and corresponding stability probability distributions are fitted to construct a slope stability assessment model, so as to improve the accuracy when performing slope stability assessment according to real-time environmental monitoring data. BRIEF DESCRIPTION OF THE DRAWINGS

[0051] Figure 1 : A schematic flow chart of a slope stability assessment method shown in certain embodiments of the present application;

[0052] Figure 2 : A module structure diagram of a slope stability assessment device shown in certain embodiments of the present application. DETAILED DESCRIPTION

[0053] The embodiments of the present application are described in detail below, and examples of the embodiments are shown in the accompanying drawings, wherein the same or similar reference numerals represent the same or similar elements or elements having the same or similar functions from beginning to end. The embodiments described below in conjunction with the accompanying drawings are exemplary and are only used to explain some embodiments of the present application, and should not be construed as limitations on the embodiments of the present application. Based on the embodiments shown in the present application, all other embodiments obtained by ordinary technicians in the field without making creative work are within the scope of protection of the present application.

[0054] In the description of this application, it should be understood that the terms "first" and "second" are used for descriptive purposes only and should not be understood as indicating or implying relative importance or implicitly indicating the number of technical features indicated. Therefore, a feature defined as "first" or "second" may explicitly or implicitly include at least one of the features. In the description of this application, unless otherwise clearly and specifically defined, "multiple" and "several" mean two or more.

[0055] Existing slope stability assessment methods are usually based on physical experimental methods such as indoor experiments, such as triaxial compression experiments and bending element experiments, and collect experimental data to further evaluate the stability of the slope. There is a certain delay, and it is impossible to quickly obtain the stability assessment results of the slope area that needs to be evaluated. At the same time, it is difficult to cover the many influencing factors of slope stability, resulting in insufficient accuracy in slope stability assessment. Therefore, how to improve the accuracy of slope stability assessment is still a technical problem that needs to be solved in the existing technology.

[0056] Based on the above technical background, please refer to Figure 1 The embodiment of the present application provides a slope stability assessment method, including steps S101 to S105, each of which is as follows:

[0057] Step S101: Acquire environmental monitoring data of a slope area to be evaluated; wherein the environmental monitoring data includes displacement data, pressure data, stress data, soil data and groundwater data.

[0058] In certain embodiments of the present application, the obtaining of environmental monitoring data of the slope area to be evaluated specifically includes:

[0059] Obtain initial monitoring data of the slope area to be evaluated through sensors;

[0060] De-noising and standardizing the initial monitoring data to obtain first monitoring data;

[0061] Perform time series analysis on the first monitoring data to obtain environmental monitoring data.

[0062] In certain embodiments of the present application, the initial monitoring data is denoised and standardized to obtain the first monitoring data, specifically:

[0063] The initial monitoring data is denoised and standardized to obtain first monitoring data; wherein the standardization includes data format standardization and data missing value filling.

[0064] The present application first obtains initial monitoring data through a sensor and performs denoising and standardization to obtain first monitoring data, which can eliminate noise data and improve the degree of data standardization. Then, a time series analysis is performed on the first monitoring data to obtain environmental monitoring data, which can make the environmental monitoring data more in line with the actual needs of the task.

[0065] Step S102: performing distribution characteristic analysis on the displacement data, the pressure data and the stress data to obtain a plurality of first distribution characteristics.

[0066] In certain embodiments of the present application, the distribution characteristics of the displacement data, the pressure data, and the stress data are analyzed to obtain a plurality of first distribution characteristics, specifically including:

[0067] Performing regression analysis on the displacement data to obtain displacement analysis data, and obtaining a first distribution feature corresponding to the displacement data based on the displacement analysis data and a displacement vector diagram corresponding to the displacement data;

[0068] Performing feature analysis on the pressure data to obtain pressure analysis data, and obtaining a first distribution feature corresponding to the pressure data based on the pressure analysis data and abnormal pressure data of the pressure data;

[0069] A feature analysis is performed on the stress data to obtain stress analysis data, and a first distribution feature corresponding to the stress data is obtained based on the stress analysis data and a stress cloud map corresponding to the stress data.

[0070] Considering performing regression analysis on displacement data and combining it with displacement vector diagram to obtain the first distribution feature is because through regression analysis and displacement vector diagram, it is possible to determine whether there is displacement acceleration or abnormal deformation in the slope, and obtain the displacement distribution and deformation pattern of the slope; considering performing feature analysis on pressure data and combining it with abnormal pressure data to obtain the first distribution feature is because through feature analysis and abnormal pressure data, it is possible to determine whether the pressure on the slope is stable or has an abnormal increasing trend, and obtain the slope pressure distribution; considering performing feature analysis on stress data and combining it with stress cloud diagram to obtain the first distribution feature is because through feature analysis and stress cloud diagram, it is possible to determine the stress state of the slope, and obtain the stress area distribution and stress assessment state of the slope.

[0071] The present application performs regression analysis or feature analysis on displacement data, pressure data and stress data respectively, and obtains a first distribution feature based on the corresponding displacement vector diagram, abnormal pressure data and stress cloud diagram, which can make the first distribution feature closer to the actual situation of the corresponding types of data, thereby improving the accuracy of constructing a slope stability assessment model.

[0072] Step S103: Based on a preset significance analysis method, significance analysis is performed on the soil data and the groundwater data to obtain soil impact weights and groundwater impact weights.

[0073] In certain embodiments of the present application, the soil data and the groundwater data are subjected to a significance analysis based on a preset significance analysis method to obtain a soil impact weight and a groundwater impact weight, specifically including:

[0074] Based on a preset fluctuation threshold, respectively identifying the fluctuation data of the soil data and the groundwater data to obtain soil fluctuation data and groundwater fluctuation data;

[0075] Based on a preset significance analysis method and a preset slope analysis model, significance analysis is performed on the soil fluctuation data and the groundwater fluctuation data to obtain a soil impact weight and a groundwater impact weight.

[0076] This application first identifies the fluctuation data of soil data and groundwater data based on a preset fluctuation threshold, and then performs a significance analysis to obtain the impact weights of soil and groundwater. The fluctuation data can better reflect the degree of influence of soil or groundwater on slope stability, so that the impact weights obtained by the significance analysis are more in line with their respective actual impacts.

[0077] Step S104: constructing a plurality of stability analysis results and corresponding plurality of stability probability distributions of the slope area according to a plurality of preset working conditions and in combination with the plurality of first distribution features.

[0078] In certain embodiments of the present application, the multiple stability analysis results and corresponding multiple stability probability distributions of the slope area are constructed according to the preset multiple working conditions and in combination with the multiple first distribution features, specifically including:

[0079] Randomly sampling the multiple first distribution features respectively to obtain multiple second distribution features;

[0080] According to the multiple parameter distributions, the multiple second distribution characteristics are fitted to obtain multiple stability analysis results corresponding to the multiple parameter distributions and corresponding multiple stability probability distributions; wherein the multiple parameter distributions are set based on the multiple preset working conditions.

[0081] The present application first randomly samples multiple first distribution features to obtain multiple second distribution features, and then fits the multiple second distribution features according to multiple parameter distributions set for multiple preset working conditions to obtain multiple stability analysis results and corresponding stability probability distributions. Random sampling can reduce the tendency of the data, and then multiple parameter distributions are set and fitted according to multiple working conditions, which can study the changes in slope stability under different working conditions, improve the comprehensiveness of slope stability assessment, and thus improve the accuracy of slope stability assessment.

[0082] Step S105: Fit the environmental monitoring data, the multiple first distribution characteristics, the soil impact weight, the groundwater impact weight, the multiple stability analysis results and the multiple stability probability distributions to construct a slope stability assessment model, and evaluate the stability of the slope area based on the real-time environmental monitoring data of the slope area and the slope stability assessment model.

[0083] In certain embodiments of the present application, the preferred implementation of constructing the slope stability assessment model includes but is not limited to a limit equilibrium algorithm, a finite element algorithm, and a discrete element algorithm.

[0084] The present application first obtains environmental monitoring data of the slope area to be evaluated, and performs distribution characteristic analysis on the displacement data, pressure data and stress data therein to obtain multiple first distribution characteristics, so as to obtain the distribution characteristics of displacement, pressure and stress, and then performs significance analysis on the soil data and groundwater data therein to obtain soil impact weight and groundwater impact weight. By adding soil and groundwater as influencing factors and obtaining the impact weights through significance analysis, the influence of soil and groundwater on slope stability can be studied, thereby improving the accuracy of slope stability assessment. Then, according to multiple preset working conditions and multiple first distribution characteristics, multiple stability analysis results and corresponding stability probability distributions are constructed, so as to study the changes in slope stability under different working conditions and improve the comprehensiveness of slope stability assessment. Then, the environmental monitoring data, multiple first distribution characteristics, soil impact weights, groundwater impact weights, multiple stability analysis results and corresponding stability probability distributions are fitted to construct a slope stability assessment model, so as to improve the accuracy when performing slope stability assessment according to real-time environmental monitoring data.

[0085] Corresponding to the previous method, see Figure 2 , the embodiment of the present application provides a slope stability assessment device, including a monitoring data acquisition module 210, a distribution feature analysis module 220, a significance analysis module 230, a probability distribution analysis module 240 and a model building assessment module 250;

[0086] The monitoring data acquisition module 210 is used to acquire environmental monitoring data of the slope area to be evaluated; wherein the environmental monitoring data includes displacement data, pressure data, stress data, soil data and groundwater data;

[0087] The distribution feature analysis module 220 is used to perform distribution feature analysis on the displacement data, the pressure data and the stress data to obtain a plurality of first distribution features;

[0088] The significance analysis module 230 is used to perform significance analysis on the soil data and the groundwater data based on a preset significance analysis method to obtain a soil impact weight and a groundwater impact weight;

[0089] The probability distribution analysis module 240 is used to construct multiple stability analysis results and corresponding multiple stability probability distributions of the slope area according to multiple preset working conditions and in combination with the multiple first distribution features;

[0090] The model building and evaluation module 250 is used to fit the environmental monitoring data, the multiple first distribution characteristics, the soil impact weights, the groundwater impact weights, the multiple stability analysis results and the multiple stability probability distributions to build a slope stability evaluation model, and evaluate the stability of the slope area based on the real-time environmental monitoring data of the slope area and the slope stability evaluation model.

[0091] In certain embodiments of the present application, the monitoring data acquisition module 210 includes a data acquisition unit, a data processing unit, and a time series analysis unit;

[0092] The data acquisition unit is used to acquire initial monitoring data of the slope area to be evaluated through a sensor;

[0093] The data processing unit is used to perform denoising and standardization on the initial monitoring data to obtain first monitoring data;

[0094] The time series analysis unit is used to perform time series analysis on the first monitoring data to obtain environmental monitoring data.

[0095] In certain embodiments of the present application, the distribution characteristic analysis module 220 includes a displacement analysis unit, a pressure analysis unit, and a stress analysis unit;

[0096] The displacement analysis unit is used to perform regression analysis on the displacement data to obtain displacement analysis data, and obtain a first distribution feature corresponding to the displacement data based on the displacement analysis data and a displacement vector diagram corresponding to the displacement data;

[0097] The pressure analysis unit is used to perform feature analysis on the pressure data to obtain pressure analysis data, and obtain a first distribution feature corresponding to the pressure data based on the pressure analysis data and abnormal pressure data of the pressure data;

[0098] The stress analysis unit is used to perform feature analysis on the stress data to obtain stress analysis data, and obtain a first distribution feature corresponding to the stress data based on the stress analysis data and a stress cloud map corresponding to the stress data.

[0099] In certain embodiments of the present application, the significance analysis module 230 includes a data identification unit and a weight analysis unit;

[0100] The data identification unit is used to identify the fluctuation data of the soil data and the groundwater data respectively based on a preset fluctuation threshold value to obtain soil fluctuation data and groundwater fluctuation data;

[0101] The weight analysis unit is used to perform significance analysis on the soil fluctuation data and the groundwater fluctuation data respectively based on a preset significance analysis method and a preset slope analysis model to obtain a soil impact weight and a groundwater impact weight.

[0102] In certain embodiments of the present application, the probability distribution analysis module 240 includes a random sampling unit and a fitting analysis unit;

[0103] The random sampling unit is used to randomly sample the multiple first distribution features respectively to obtain multiple second distribution features;

[0104] The fitting analysis unit is used to fit the multiple second distribution characteristics according to the multiple parameter distributions to obtain multiple stability analysis results and corresponding multiple stability probability distributions corresponding to the multiple parameter distributions; wherein the multiple parameter distributions are set based on the preset multiple working conditions.

[0105] The present application first obtains environmental monitoring data of the slope area to be evaluated, and performs distribution characteristic analysis on the displacement data, pressure data and stress data therein to obtain multiple first distribution characteristics, so as to obtain the distribution characteristics of displacement, pressure and stress, and then performs significance analysis on the soil data and groundwater data therein to obtain soil impact weight and groundwater impact weight. By adding soil and groundwater as influencing factors and obtaining the impact weights through significance analysis, the influence of soil and groundwater on slope stability can be studied, thereby improving the accuracy of slope stability assessment. Then, according to multiple preset working conditions and multiple first distribution characteristics, multiple stability analysis results and corresponding stability probability distributions are constructed, so as to study the changes in slope stability under different working conditions and improve the comprehensiveness of slope stability assessment. Then, the environmental monitoring data, multiple first distribution characteristics, soil impact weights, groundwater impact weights, multiple stability analysis results and corresponding stability probability distributions are fitted to construct a slope stability assessment model, so as to improve the accuracy when performing slope stability assessment according to real-time environmental monitoring data.

[0106] It should be understood that the device provided in the embodiments of the present application corresponds to the aforementioned method, and a slope stability assessment device provided in the embodiments of the present application can implement a slope stability assessment method provided in any embodiment of the present application.

[0107] Adaptively, the embodiments of the present application also provide a computer device and a computer-readable storage medium.

[0108] The computer device comprises: a processor, a memory, and a computer program stored in the memory and configured to be executed by the processor;

[0109] Wherein, when the processor executes the computer program, a slope stability assessment method of the present application is implemented.

[0110] The computer-readable storage medium stores a plurality of instructions, and the instructions are suitable for being loaded by a processor to execute a slope stability assessment method of the present application.

[0111] The above are some implementation methods of the present application, and the purpose, technical scheme and beneficial effects of the present application are further described in detail. It should be clear that the above-mentioned partial implementation methods of the present application cannot be understood as limiting the present application. It is particularly pointed out that for those skilled in the art, any changes, modifications, equivalent substitutions and variations made within the spirit and principles of the present application should be included in the protection scope of the present application.

Claims

1. A slope stability assessment method, characterized in that: include: Obtaining environmental monitoring data of the slope area to be evaluated; wherein the environmental monitoring data includes displacement data, pressure data, stress data, soil data and groundwater data; Performing distribution characteristic analysis on the displacement data, the pressure data, and the stress data to obtain a plurality of first distribution characteristics; Based on a preset significance analysis method, a significance analysis is performed on the soil data and the groundwater data to obtain a soil impact weight and a groundwater impact weight; According to the preset multiple working conditions and in combination with the multiple first distribution features, construct multiple stability analysis results and corresponding multiple stability probability distributions of the slope area; The environmental monitoring data, the multiple first distribution characteristics, the soil impact weight, the groundwater impact weight, the multiple stability analysis results and the multiple stability probability distributions are fitted to construct a slope stability assessment model, and the stability of the slope area is evaluated based on the real-time environmental monitoring data of the slope area and the slope stability assessment model.

2. A slope stability assessment method according to claim 1, characterized in that: The obtaining of environmental monitoring data of the slope area to be evaluated specifically includes: Obtain initial monitoring data of the slope area to be evaluated through sensors; De-noising and standardizing the initial monitoring data to obtain first monitoring data; Perform time series analysis on the first monitoring data to obtain environmental monitoring data.

3. A slope stability assessment method according to claim 1, characterized in that: The performing distribution characteristic analysis on the displacement data, the pressure data and the stress data to obtain a plurality of first distribution characteristics specifically includes: Performing regression analysis on the displacement data to obtain displacement analysis data, and obtaining a first distribution feature corresponding to the displacement data based on the displacement analysis data and a displacement vector diagram corresponding to the displacement data; Performing feature analysis on the pressure data to obtain pressure analysis data, and obtaining a first distribution feature corresponding to the pressure data based on the pressure analysis data and abnormal pressure data of the pressure data; A feature analysis is performed on the stress data to obtain stress analysis data, and a first distribution feature corresponding to the stress data is obtained based on the stress analysis data and a stress cloud map corresponding to the stress data.

4. A slope stability assessment method according to claim 1, characterized in that: The significance analysis of the soil data and the groundwater data is performed based on a preset significance analysis method to obtain the soil impact weight and the groundwater impact weight, specifically including: Based on a preset fluctuation threshold, respectively identifying the fluctuation data of the soil data and the groundwater data to obtain soil fluctuation data and groundwater fluctuation data; Based on a preset significance analysis method and a preset slope analysis model, significance analysis is performed on the soil fluctuation data and the groundwater fluctuation data to obtain a soil impact weight and a groundwater impact weight.

5. A slope stability assessment method according to claim 1, characterized in that: The step of constructing a plurality of stability analysis results and corresponding plurality of stability probability distributions of the slope area according to the plurality of preset working conditions and in combination with the plurality of first distribution features specifically includes: Randomly sampling the multiple first distribution features respectively to obtain multiple second distribution features; According to the multiple parameter distributions, the multiple second distribution characteristics are fitted to obtain multiple stability analysis results corresponding to the multiple parameter distributions and corresponding multiple stability probability distributions; wherein the multiple parameter distributions are set based on the multiple preset working conditions.

6. A slope stability assessment device, characterized in that: It includes monitoring data acquisition module, distribution feature analysis module, significance analysis module, probability distribution analysis module and model building and evaluation module; The monitoring data acquisition module is used to acquire environmental monitoring data of the slope area to be evaluated; wherein the environmental monitoring data includes displacement data, pressure data, stress data, soil data and groundwater data; The distribution feature analysis module is used to perform distribution feature analysis on the displacement data, the pressure data and the stress data to obtain a plurality of first distribution features; The significance analysis module is used to perform significance analysis on the soil data and the groundwater data based on a preset significance analysis method to obtain a soil impact weight and a groundwater impact weight; The probability distribution analysis module is used to construct multiple stability analysis results and corresponding multiple stability probability distributions of the slope area according to multiple preset working conditions and in combination with the multiple first distribution features; The model building and evaluation module is used to fit the environmental monitoring data, the multiple first distribution characteristics, the soil impact weights, the groundwater impact weights, the multiple stability analysis results and the multiple stability probability distributions to build a slope stability evaluation model, and evaluate the stability of the slope area based on the real-time environmental monitoring data of the slope area and the slope stability evaluation model.

7. A slope stability assessment device according to claim 6, characterized in that: The monitoring data acquisition module includes a data acquisition unit, a data processing unit and a time series analysis unit; The data acquisition unit is used to acquire initial monitoring data of the slope area to be evaluated through a sensor; The data processing unit is used to perform denoising and standardization on the initial monitoring data to obtain first monitoring data; The time series analysis unit is used to perform time series analysis on the first monitoring data to obtain environmental monitoring data.

8. A slope stability assessment device according to claim 6, characterized in that: The distribution characteristic analysis module includes a displacement analysis unit, a pressure analysis unit and a stress analysis unit; The displacement analysis unit is used to perform regression analysis on the displacement data to obtain displacement analysis data, and obtain a first distribution feature corresponding to the displacement data based on the displacement analysis data and a displacement vector diagram corresponding to the displacement data; The pressure analysis unit is used to perform feature analysis on the pressure data to obtain pressure analysis data, and obtain a first distribution feature corresponding to the pressure data based on the pressure analysis data and abnormal pressure data of the pressure data; The stress analysis unit is used to perform feature analysis on the stress data to obtain stress analysis data, and obtain a first distribution feature corresponding to the stress data based on the stress analysis data and a stress cloud map corresponding to the stress data.

9. A slope stability assessment device according to claim 6, characterized in that: The significance analysis module includes a data identification unit and a weight analysis unit; The data identification unit is used to identify the fluctuation data of the soil data and the groundwater data respectively based on a preset fluctuation threshold value to obtain soil fluctuation data and groundwater fluctuation data; The weight analysis unit is used to perform significance analysis on the soil fluctuation data and the groundwater fluctuation data respectively based on a preset significance analysis method and a preset slope analysis model to obtain a soil impact weight and a groundwater impact weight.

10. A slope stability assessment device according to claim 6, characterized in that: The probability distribution analysis module includes a random sampling unit and a fitting analysis unit; The random sampling unit is used to randomly sample the multiple first distribution features respectively to obtain multiple second distribution features; The fitting analysis unit is used to fit the multiple second distribution characteristics according to the multiple parameter distributions to obtain multiple stability analysis results and corresponding multiple stability probability distributions corresponding to the multiple parameter distributions; wherein the multiple parameter distributions are set based on the preset multiple working conditions.

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