Method and system for intelligently evaluating slope stability

Abstract

The invention discloses a method and system for intelligently evaluating slope stability, and relates to the technical field of slope stability evaluation. According to the method, the environmental data of the side slope are collected, the analytic hierarchy process is carried out on the environmental data through the analytic hierarchy process, the key factors of the stability of the side slope and the weights of the key factors are determined, and the safety coefficient of the side slope is determined through the limit equilibrium analysis model. And finally, stability data of the slope under the action of an external load is calculated through numerical simulation, so that evaluation of the slope stability is realized. The environmental data of the slope are processed in a mode of combining analytic hierarchy process, limited equilibrium analysis and numerical simulation so as to fit the slope stability evaluation model, and the accuracy of slope stability evaluation can be greatly improved. Compared with an existing centralized processing evaluation mode, evaluation is carried out in a multi-level mode of analytic hierarchy process, limited equilibrium analysis and numerical simulation, and the efficiency of slope stability evaluation can be greatly improved.

Description

Technical Field

[0001] The invention belongs to the technical field of slope stability assessment, and in particular relates to a method and system for intelligently assessing slope stability. Background Art

[0002] As a unique structure, slopes are widely distributed in various places, and the assessment of slope stability is a crucial process. Slope instability may lead to geological disasters such as landslides and collapses, which can easily cause damage to infrastructure such as transportation, water conservancy, and construction. In addition, the assessment of slope stability in complex terrains such as mountainous areas and hills can ensure the safety of the project during construction and operation. Therefore, it is very important to assess the stability of slopes.

[0003] In the current slope assessment method, the state of the slope is mainly recorded by patrol measurement, and the recorded data is centrally processed. However, this assessment method has major defects. For example, the assessment method is relatively single and cannot accurately assess the stability of the slope; and the response speed of this assessment method is slow, resulting in low efficiency of slope monitoring and assessment, and unable to respond quickly to slope crises. Therefore, there is an urgent need for an intelligent slope stability assessment method and system to solve the defects of the existing technology. Summary of the invention

[0004] The present invention aims to provide a method and system for intelligently evaluating slope stability to solve the above technical problems, and to perform hierarchical analysis and limit equilibrium analysis of the environmental data of the slope, thereby realizing the acquisition of stability data of the slope under external loads and improving the efficiency and accuracy of slope stability evaluation.

[0005] In order to solve the above technical problems, an embodiment of the present invention provides a method for intelligently evaluating slope stability, comprising:

[0006] Collect some environmental data of the slope;

[0007] Performing a hierarchical analysis on the environmental data according to a preset hierarchical analysis method to determine the key factors of slope stability and the weights of the key factors;

[0008] Inputting the environmental data into a preset limit equilibrium analysis model to obtain a safety factor of the slope;

[0009] Calculating the stability data of the slope under the external load according to the key factors of the slope stability and the weights of the key factors in combination with the environmental data;

[0010] The stability data and safety factor are fitted to construct a slope stability assessment model, and the slope stability is assessed in combination with preset historical slope data.

[0011] It can be understood that, compared with the prior art, the present invention collects environmental data of the slope, performs hierarchical analysis on the environmental data through the hierarchical analysis method, determines the key factors of slope stability and the weights of the key factors, and determines the safety factor of the slope with the limit equilibrium analysis model, and finally calculates the stability data of the slope under the action of external loads through numerical simulation, thereby realizing the evaluation of slope stability. The environmental data of the slope is processed by combining hierarchical analysis, limit equilibrium analysis and numerical simulation to fit the slope stability evaluation model, which can greatly improve the accuracy of the slope stability evaluation. Compared with the existing centralized processing evaluation method, the efficiency of slope stability evaluation can be greatly improved by evaluating in a multi-level manner using hierarchical analysis, limit equilibrium analysis and numerical simulation.

[0012] As a preferred solution, the inputting of the environmental data into a preset limit equilibrium analysis model to obtain the safety factor of the slope specifically includes:

[0013] The environmental data is input into a preset limit equilibrium analysis model, and the safety factor of the slope under different working conditions is calculated to obtain the safety factor of the slope; wherein the preset limit equilibrium analysis model includes: ordinary strip method, Swedish arc method and Bishop method.

[0014] This preferred solution uses a limit equilibrium analysis model to calculate the safety factor of the slope based on the static equilibrium principle, so that the assessment of slope stability can be more accurately regulated, thereby improving the accuracy of slope stability assessment.

[0015] As a preferred solution, the calculation of the stability data of the slope under the external load based on the key factors of the slope stability and the weights of the key factors in combination with the environmental data specifically includes:

[0016] According to the key factors of the slope stability and the weights of the key factors, the environmental data is input into a preset finite element model to calculate the stress, strain and displacement distribution data of the slope under the external load; wherein the external load includes: gravity, water pressure and seismic force;

[0017] According to the key factors of the slope stability and the weights of the key factors, the environmental data is input into a preset discrete element analysis model to calculate the movement, deformation and destruction process data of the granular material of the slope under the external load;

[0018] The stability data of the slope under the external load is determined based on the stress, strain and displacement distribution data of the slope under the external load, as well as the movement, deformation and failure process data of the granular material of the slope under the external load.

[0019] This preferred solution can more accurately simulate the mechanical behavior of the slope structure through the finite element model and the discrete element analysis model, so as to more quickly and accurately analyze the stability data of the slope under the action of external loads, thereby improving the accuracy and efficiency of the slope stability assessment.

[0020] As a preferred solution, the stability data and the safety factor are fitted to construct a slope stability assessment model, and the slope stability is assessed in combination with preset historical slope data, specifically including:

[0021] Fitting the stability data and safety factor to construct a slope stability assessment model;

[0022] Calculate preliminary assessment data of the slope based on the slope stability assessment model and in combination with a preset long-term and short-term data network;

[0023] The preliminary evaluation data is compared with the historical slope data. When the comparison result is less than a preset error value, it is determined that the current slope is in a stable state, and the evaluation of the slope stability is completed.

[0024] This preferred solution improves the accuracy of slope stability assessment by fitting the stability data and safety factor, performing a comprehensive assessment of the slope in the form of a slope stability assessment model and a long-term and short-term data network, and also performing a final assessment based on the historical data of the slope.

[0025] As a preferred solution, after evaluating the slope stability, the method further includes:

[0026] Conduct expert review of slope stability assessment results;

[0027] Determine warning data on slope stability based on the results of expert review;

[0028] The slope is early-warning controlled according to the warning data.

[0029] Accordingly, an embodiment of the present invention provides a system for intelligently evaluating slope stability, comprising: an environmental data acquisition module, a hierarchical analysis module, a limit equilibrium analysis module, a stability data calculation module, and a stability evaluation module;

[0030] Wherein, the environmental data acquisition module is used to collect a number of environmental data of the slope;

[0031] The hierarchical analysis module is used to perform hierarchical analysis on the environmental data according to a preset hierarchical analysis method to determine the key factors of slope stability and the weights of the key factors;

[0032] The limit equilibrium analysis module is used to input the environmental data into a preset limit equilibrium analysis model to obtain the safety factor of the slope;

[0033] The stability data calculation module is used to calculate the stability data of the slope under the external load according to the key factors of the slope stability and the weights of the key factors in combination with the environmental data;

[0034] The stability assessment module is used to fit the stability data and the safety factor to construct a slope stability assessment model, and to assess the slope stability in combination with preset historical slope data.

[0035] As a preferred solution, the limit equilibrium analysis module includes: a limit equilibrium analysis unit;

[0036] The limit equilibrium analysis unit is used to input the environmental data into a preset limit equilibrium analysis model, calculate the safety factor of the slope under different working conditions, and obtain the safety factor of the slope; wherein the preset limit equilibrium analysis model includes: ordinary strip method, Swedish arc method and Bishop method.

[0037] As a preferred solution, the stability data calculation module includes: a stability data calculation unit;

[0038] The stability data calculation unit is used to input the environmental data into a preset finite element model according to the key factors of the slope stability and the weights of the key factors, and calculate the stress, strain and displacement distribution data of the slope under the external load; wherein the external load includes: gravity, water pressure and earthquake force;

[0039] According to the key factors of the slope stability and the weights of the key factors, the environmental data is input into a preset discrete element analysis model to calculate the movement, deformation and destruction process data of the granular material of the slope under the external load;

[0040] The stability data of the slope under the external load is determined based on the stress, strain and displacement distribution data of the slope under the external load, as well as the movement, deformation and failure process data of the granular material of the slope under the external load.

[0041] As a preferred solution, the stability assessment module includes: a stability assessment unit;

[0042] The stability assessment unit is used to fit the stability data and the safety factor to construct a slope stability assessment model;

[0043] Calculate preliminary assessment data of the slope based on the slope stability assessment model and in combination with a preset long-term and short-term data network;

[0044] The preliminary evaluation data is compared with the historical slope data. When the comparison result is less than a preset error value, it is determined that the current slope is in a stable state, and the evaluation of the slope stability is completed.

[0045] As a preferred solution, the system for intelligently assessing slope stability further includes: an early warning and control module;

[0046] The early warning and control module is used to conduct expert review of the slope stability assessment results;

[0047] Determine warning data on slope stability based on the results of expert review;

[0048] The slope is early-warning controlled according to the warning data.

[0049] It can be understood that, compared with the prior art, this system collects environmental data of the slope, performs hierarchical analysis on the environmental data through the hierarchical analysis method, determines the key factors of slope stability and the weights of the key factors, and determines the safety factor of the slope with the limit equilibrium analysis model. Finally, the stability data of the slope under the action of external loads is calculated through numerical simulation, thereby realizing the evaluation of slope stability. The environmental data of the slope is processed by combining hierarchical analysis, limit equilibrium analysis and numerical simulation to fit the slope stability evaluation model, which can greatly improve the accuracy of the slope stability evaluation. Compared with the existing centralized processing evaluation method, the evaluation in a multi-level manner of hierarchical analysis, limit equilibrium analysis and numerical simulation can greatly improve the efficiency of slope stability evaluation. BRIEF DESCRIPTION OF THE DRAWINGS

[0050] Figure 1 : A flowchart of the steps of a method for intelligently evaluating slope stability provided by an embodiment of the present invention;

[0051] Figure 2 : A schematic diagram of the structure of a system for intelligently evaluating slope stability provided by an embodiment of the present invention;

[0052] Figure 3 : A structural schematic diagram of another intelligent slope stability assessment system provided by an embodiment of the present invention;

[0053] Among them, 201: environmental data acquisition module; 202: hierarchical analysis module; 203: limit equilibrium analysis module; 204: stability data calculation module; 205: stability assessment module. DETAILED DESCRIPTION

[0054] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0055] Embodiment 1

[0056] Please refer to Figure 1 , is a flowchart of a method for intelligently evaluating slope stability provided by an embodiment of the present invention, including steps S101 to S105.

[0057] Step S101: Collect some environmental data of the slope.

[0058] In an optional embodiment, environmental data of the slope is collected by means of several different types of sensors arranged on the slope, the sensors including: displacement sensors, temperature and humidity sensors, water level sensors, terrain deformation sensors and image sensors; the environmental data include: geological survey data, rock and soil physical and mechanical parameters, hydrological and meteorological conditions and seismic activity, etc.

[0059] Step S102: performing a hierarchical analysis on the environmental data according to a preset hierarchical analysis method to determine key factors of slope stability and weights of the key factors.

[0060] It should be noted that the Analytic Hierarchy Process (AHP) is an analytical method that combines qualitative and quantitative analysis.

[0061] Step S103: inputting the environmental data into a preset limit equilibrium analysis model to obtain a safety factor of the slope.

[0062] In this embodiment, the step of inputting the environmental data into a preset limit equilibrium analysis model to obtain the safety factor of the slope specifically includes:

[0063] The environmental data is input into a preset limit equilibrium analysis model, and the safety factor of the slope under different working conditions is calculated to obtain the safety factor of the slope; wherein the preset limit equilibrium analysis model includes: ordinary strip method, Swedish arc method and Bishop method.

[0064] This embodiment uses a limit equilibrium analysis model to calculate the safety factor of the slope based on the principle of static equilibrium, so that the assessment of slope stability can be more accurately regulated, thereby improving the accuracy of slope stability assessment.

[0065] It should be noted that the limit equilibrium analysis model can be implemented through manual calculation or analysis software (Slope / W, GeoStudio).

[0066] Step S104: calculating the stability data of the slope under the external load according to the key factors of the slope stability and the weights of the key factors in combination with the environmental data.

[0067] In this embodiment, the calculation of the stability data of the slope under the external load based on the key factors of the slope stability and the weights of the key factors in combination with the environmental data specifically includes:

[0068] According to the key factors of the slope stability and the weights of the key factors, the environmental data is input into a preset finite element model to calculate the stress, strain and displacement distribution data of the slope under the external load; wherein the external load includes: gravity, water pressure and seismic force;

[0069] According to the key factors of the slope stability and the weights of the key factors, the environmental data is input into a preset discrete element analysis model to calculate the movement, deformation and destruction process data of the granular material of the slope under the external load;

[0070] The stability data of the slope under the external load is determined based on the stress, strain and displacement distribution data of the slope under the external load, as well as the movement, deformation and failure process data of the granular material of the slope under the external load.

[0071] This embodiment can more accurately simulate the mechanical behavior of the slope structure through the finite element model and the discrete element analysis model, so as to more quickly and accurately analyze the stability data of the slope under the external load, thereby improving the accuracy and efficiency of the slope stability assessment.

[0072] In an optional embodiment, a numerical model of the slope is established in a finite element model, and then the numerical model is divided into a plurality of small units, physical and mechanical parameters are defined for the materials (such as soil, rock, etc.) in the numerical model, and boundary conditions are applied to the numerical model according to the environmental data collected in step S101. Thereafter, the numerical model is solved using finite element software to calculate the stress, strain and displacement distribution data of the slope under the external load (i.e., the mechanical responses of the slope, such as the stress field and displacement field).

[0073] It should be noted that finite element software is a computer-aided design tool used in the engineering field. It is based on finite element analysis theory and can perform mechanical analysis and simulation on complex structures. Commonly used finite element analysis software include ANSYS, ABAQUS and MSC.

[0074] In an optional embodiment, based on the environmental data of the slope, the key factors of slope stability and the weights of the key factors, a particle contact model and boundary conditions are set in a discrete element analysis model to simulate complex particle movement behavior, and then the movement, deformation and destruction process data of the granular material of the slope under external loads are calculated.

[0075] It should be noted that granular materials include soil and rock fragments, and discrete element models include PFC (Particle Flow Code) and EDEM (Discrete Element Method), which can provide a variety of particle contact models and boundary condition setting options to simulate particle motion behavior.

[0076] Step S105: Fitting the stability data and the safety factor to construct a slope stability assessment model, and assessing the slope stability in combination with preset historical slope data.

[0077] In this embodiment, the stability data and the safety factor are fitted to construct a slope stability assessment model, and the slope stability is assessed in combination with preset historical slope data, specifically including:

[0078] Fitting the stability data and safety factor to construct a slope stability assessment model;

[0079] Calculate preliminary assessment data of the slope based on the slope stability assessment model and in combination with a preset long-term and short-term data network;

[0080] The preliminary evaluation data is compared with the historical slope data. When the comparison result is less than a preset error value, it is determined that the current slope is in a stable state, and the evaluation of the slope stability is completed.

[0081] This embodiment performs a comprehensive evaluation of the slope in the form of a slope stability evaluation model and a long-term and short-term data network by fitting the stability data and the safety factor, and also performs a final evaluation based on the historical data of the slope, thereby improving the accuracy of the slope stability evaluation.

[0082] In an optional embodiment, the slope stability assessment model conducts a comprehensive assessment of the stability of the slope based on stability data and safety factor; and injects the long-term and short-term data network into the slope stability assessment model for verification, so that the slope stability assessment model assesses the stability of the slope according to the long-term and short-term data network to obtain preliminary assessment data; the preliminary assessment data is compared with the historical data of the slope relative to the period, thereby completing the assessment of the slope stability.

[0083] In this embodiment, after evaluating the slope stability, the method further includes:

[0084] Conduct expert review of slope stability assessment results;

[0085] Determine warning data on slope stability based on the results of expert review;

[0086] The slope is early-warning controlled according to the warning data.

[0087] In an optional embodiment, the slope stability assessment result is sent to an expert review platform for expert review by experts in the fields of geological engineering, geotechnical engineering, etc. When the evaluation result is that the stability is poor, warning data is generated, and evacuation information is sent to terminal devices around the slope based on the warning data.

[0088] This embodiment collects environmental data of the slope, performs hierarchical analysis on the environmental data through the hierarchical analysis method, determines the key factors of slope stability and the weights of the key factors, and determines the safety factor of the slope with the limit equilibrium analysis model. Finally, the stability data of the slope under the action of external loads is calculated through numerical simulation, thereby realizing the evaluation of slope stability. The environmental data of the slope is processed by combining hierarchical analysis, limit equilibrium analysis and numerical simulation to fit the slope stability evaluation model, which can greatly improve the accuracy of the slope stability evaluation. Compared with the existing centralized evaluation method, the evaluation in a multi-level manner of hierarchical analysis, limit equilibrium analysis and numerical simulation can greatly improve the efficiency of slope stability evaluation.

[0089] Embodiment 2

[0090] Please refer to Figure 2 , which is a structural diagram of a system for intelligently evaluating slope stability provided by an embodiment of the present invention, comprising: an environmental data acquisition module 201, a hierarchical analysis module 202, a limit equilibrium analysis module 203, a stability data calculation module 204 and a stability evaluation module 205;

[0091] The environmental data collection module 201 is used to collect some environmental data of the slope.

[0092] The hierarchical analysis module 202 is used to perform hierarchical analysis on the environmental data according to a preset hierarchical analysis method to determine the key factors of slope stability and the weights of the key factors.

[0093] The limit equilibrium analysis module 203 is used to input the environmental data into a preset limit equilibrium analysis model to obtain the safety factor of the slope.

[0094] In this embodiment, the limit equilibrium analysis module 203 includes: a limit equilibrium analysis unit;

[0095] The limit equilibrium analysis unit is used to input the environmental data into a preset limit equilibrium analysis model, calculate the safety factor of the slope under different working conditions, and obtain the safety factor of the slope; wherein the preset limit equilibrium analysis model includes: ordinary strip method, Swedish arc method and Bishop method.

[0096] The stability data calculation module 204 is used to calculate the stability data of the slope under the external load according to the key factors of the slope stability and the weights of the key factors in combination with the environmental data.

[0097] In this embodiment, the stability data calculation module 204 includes: a stability data calculation unit;

[0098] The stability data calculation unit is used to input the environmental data into a preset finite element model according to the key factors of the slope stability and the weights of the key factors, and calculate the stress, strain and displacement distribution data of the slope under the external load; wherein the external load includes: gravity, water pressure and earthquake force;

[0099] According to the key factors of the slope stability and the weights of the key factors, the environmental data is input into a preset discrete element analysis model to calculate the movement, deformation and destruction process data of the granular material of the slope under the external load;

[0100] The stability data of the slope under the external load is determined based on the stress, strain and displacement distribution data of the slope under the external load, as well as the movement, deformation and failure process data of the granular material of the slope under the external load.

[0101] The stability evaluation module 205 is used to fit the stability data and the safety factor to construct a slope stability evaluation model, and evaluate the slope stability in combination with preset historical slope data.

[0102] In this embodiment, the stability evaluation module 205 includes: a stability evaluation unit;

[0103] The stability assessment unit is used to fit the stability data and the safety factor to construct a slope stability assessment model;

[0104] Calculate preliminary assessment data of the slope based on the slope stability assessment model and in combination with a preset long-term and short-term data network;

[0105] The preliminary evaluation data is compared with the historical slope data. When the comparison result is less than a preset error value, it is determined that the current slope is in a stable state, and the evaluation of the slope stability is completed.

[0106] In this embodiment, the system for intelligently assessing slope stability further includes: an early warning and control module;

[0107] The early warning and control module is used to conduct expert review of the slope stability assessment results;

[0108] Determine warning data on slope stability based on the results of expert review;

[0109] The slope is early-warning controlled according to the warning data.

[0110] The present invention collects environmental data of the slope, performs hierarchical analysis on the environmental data through the hierarchical analysis method, determines the key factors of slope stability and the weights of the key factors, and determines the safety factor of the slope with a limit equilibrium analysis model. Finally, the stability data of the slope under the action of external loads is calculated through numerical simulation, thereby realizing the evaluation of slope stability. The environmental data of the slope is processed by combining hierarchical analysis, limit equilibrium analysis and numerical simulation to fit the slope stability evaluation model, which can greatly improve the accuracy of the slope stability evaluation. Compared with the existing centralized processing evaluation method, the evaluation in a multi-level manner of hierarchical analysis, limit equilibrium analysis and numerical simulation can greatly improve the efficiency of slope stability evaluation.

[0111] Embodiment 3

[0112] Please refer to Figure 3 , which is a schematic diagram of the structure of another intelligent slope stability assessment system provided by an embodiment of the present invention;

[0113] The input end of the hydrological and meteorological monitoring station is bidirectionally electrically connected to the Internet of Things terminal, and the Internet of Things terminal is bidirectionally electrically connected to the slope monitoring module;

[0114] The slope monitoring module includes a number of sensors for collecting environmental data of the slope. The hydrological and meteorological monitoring station receives the environmental data collected by the slope monitoring module and sends it to the cloud server through the 5G transmission module by means of electrical connection;

[0115] A module for establishing a bidirectional electrical connection model at the output end of the cloud server;

[0116] The output end of the model building module is bidirectionally electrically connected to the hierarchical analysis module;

[0117] The output end of the hierarchical analysis module is bidirectionally electrically connected to the numerical simulation module and the limit equilibrium model;

[0118] The output ends of the numerical simulation module and the limit equilibrium model are both bidirectionally electrically connected to the slope stability assessment model;

[0119] The output end of the slope stability assessment model is bidirectionally electrically connected to a comparison module;

[0120] The output end of the comparison module is bidirectionally electrically connected to a result evaluation module;

[0121] The output end of the result evaluation module is electrically connected to the data storage module;

[0122] The data storage module internally stores long-term and short-term data networks;

[0123] The output end of the data storage module sends the long-term and short-term data network to the slope stability assessment model;

[0124] The output end of the result evaluation module is bidirectionally electrically connected to the feedback module;

[0125] The output end of the feedback module is bidirectionally electrically connected to the input end of the cloud server;

[0126] The output end of the data storage module is bidirectionally electrically connected to the data extraction module;

[0127] The output end of the data extraction module is bidirectionally electrically connected to the input end of the comparison module;

[0128] The output end of the feedback module is bidirectionally electrically connected to the data transceiver module;

[0129] The output end of the data transceiver module is bidirectionally electrically connected to the expert review platform.

[0130] This embodiment can provide rapid feedback on the evaluation results by setting up a feedback module, which is convenient for the hydrological and meteorological monitoring station to quickly grasp the evaluation results; by setting up an information sending base station and an audible and visual alarm, the warning effect around the slope can be improved to prevent people from approaching and causing accidents. By setting up a data transceiver module and an expert review platform, the evaluation results can be manually reviewed to prevent misjudgments, and solutions can be discussed in a timely manner to improve response efficiency.

[0131] By setting up a data extraction module, this embodiment can greatly improve the data collection efficiency, define fuzzy sets and fuzzy rules, and handle fuzzy or partial matching situations, thereby improving the matching efficiency and accuracy. At the same time, according to the search behavior and needs of the comparison module, the search strategy is dynamically adjusted to optimize the sorting and display of search results.

[0132] In this embodiment, the monitoring data include: geological survey data, rock and soil physical and mechanical parameters, hydrological and meteorological conditions and seismic activity.

[0133] This embodiment can improve the accuracy and scope of environmental data collection by acquiring geological survey data, rock and soil physical and mechanical parameters, hydrological and meteorological conditions and seismic activity, improve the effect of slope model establishment, prevent calculation errors, and facilitate self-learning of the model.

[0134] In this embodiment, the slope monitoring module includes a displacement sensor, a temperature and humidity sensor, a water level sensor, a terrain deformation sensor and an image monitor; the slope monitoring module also includes an alarm unit, and the alarm unit includes an information sending base station and an audible and visual alarm.

[0135] This embodiment can collect a large amount of comprehensive geological, engineering and environmental data by setting up displacement sensors, temperature and humidity sensors, water level sensors, terrain deformation sensors and image monitors to ensure the accuracy of the evaluation results.

[0136] In this embodiment, the numerical simulation module includes a finite element analysis model and a discrete element analysis model.

[0137] This embodiment can subdivide the model into a large number of small units by setting up a finite element analysis model and a discrete element analysis model, and consider the interaction between the units, so as to simulate the mechanical behavior of the structure more accurately. This makes the finite element analysis have higher accuracy and reliability in predicting structural performance, optimizing design and risk assessment, thereby improving the accuracy of slope stability assessment.

[0138] In this embodiment, the data extraction module includes a pre-fuzzy matching unit and a search control processor.

[0139] In an alternative embodiment, the following will be Figure 3 The working principle of the system shown is described;

[0140] First, several slope monitoring modules are set up at the edge of the slope to collect the hydrological and meteorological conditions and rock and soil physical and mechanical parameters around the slope, and then sent to the hydrological and meteorological monitoring station using the Internet of Things terminal. At the same time, the hydrological and meteorological monitoring station uses remote sensing satellites to collect meteorological information in the slope area, and assists manual inspection equipment to make additional measurements of the slope environmental data. The hydrological and meteorological monitoring station centrally processes the above data and sends it to the cloud server using the 5G transmission module. The cloud server uses the model building module to receive data from the hydrological and meteorological monitoring station and the slope monitoring module. These data include geological survey data, rock and soil physical and mechanical parameters, hydrological and meteorological conditions, seismic activity and other information.

[0141] The model building module then integrates and preprocesses these data to ensure the accuracy, completeness and consistency of the data, providing a reliable basis for subsequent analysis and evaluation. The module needs to select the appropriate model type and parameter settings based on the specific conditions of the slope and evaluation requirements to construct a mathematical model that can accurately reflect the stability characteristics of the slope. During the model building process, the model building module also needs to optimize and calibrate the model parameters.

[0142] The hierarchical analysis module determines the data status and checks whether the cloud server needs to determine whether the received data is complete, that is, whether it contains all the necessary monitoring data (such as geological survey data, geotechnical physical and mechanical parameters, hydrological and meteorological conditions, seismic activity, etc.). If the data is incomplete, it needs to be requested to be resent or marked. The server needs to verify the accuracy of the data by comparing data from different sources (such as data from slope monitoring modules and hydrological and meteorological monitoring stations) or using known verification rules. If the data is found to be abnormal or inconsistent, it needs to be corrected or marked as suspicious data. For data from different sensors or different time periods, it is necessary to ensure their consistency. This includes time synchronization, unit unification, data format standardization and other processing processes, and then import them into the numerical simulation module and the limit equilibrium model respectively.

[0143] The numerical simulation module uses finite element analysis models and discrete element analysis models to quantitatively analyze the stability of the slope, and simulates the behavior of the entire structure or rock and soil by solving the mechanical response of the above data under boundary conditions. The finite element analysis model simulates the stress field, displacement field and possible failure mode of the slope. According to the actual geometry, material properties and boundary conditions of the slope, a numerical model of the slope is established in the finite element software, and then the slope model is divided into multiple small units. Appropriate physical and mechanical parameters are defined for the materials in the model (such as soil, rock, etc.), and appropriate boundary conditions are imposed on the model according to the actual situation of the slope. The model is solved using finite element software, and the mechanical responses of the slope, such as stress field and displacement field, are calculated. Then, based on the calculation results, the stability of the slope is analyzed, the possible failure mode and safety factor are determined, and a slope stability assessment model is formed.

[0144] The slope stability assessment model combines the quantitative analysis of the finite element analysis model with the results of the limit equilibrium model to provide a more comprehensive and accurate slope stability assessment. The results of the numerical simulation module are used as the input of the slope stability assessment model. The numerical simulation module performs quantitative analysis of slope stability and passes the results to the slope stability assessment model. The slope stability assessment model then combines other input information (such as the results of the limit equilibrium model and geological survey data) to conduct a comprehensive assessment of the stability of the slope. At the same time, the comparison module collects long-term data stored in the data storage module and injects the long-term and short-term data network into the slope stability assessment model for verification. The slope stability assessment model uses the long-term and short-term data network to evaluate the data, and after the evaluation is completed, uses the comparison module to compare it with the results of the corresponding period. When the comparison result is less than the error value, the result evaluation module evaluates the evaluation status and stores the result in the data storage module.

[0145] The data extraction module quickly extracts the required data from the data storage module. These data include long-term accumulated historical data and real-time monitoring data. By optimizing the data extraction process, the system can respond to evaluation needs more quickly and provide timely and accurate data support. The module contains a pre-fuzzy matching module that can handle fuzzy or partial matching situations. Even if the input data does not completely match the stored data, the system can find the closest match through intelligent algorithms, thereby greatly improving the accuracy and flexibility of data retrieval.

[0146] The result evaluation module sends the evaluation results to the expert review platform using the data transceiver module, and invites experts in the fields of geological engineering, geotechnical engineering, etc. to review and judge the results. When the evaluation results are relatively poor, the feedback module sends warning data to the hydrological and meteorological monitoring station. The hydrological and meteorological monitoring station uses the Internet of Things terminal to connect to the slope monitoring module, and sends evacuation information to mobile terminals within the surrounding preset area through the information sending base station inside the slope monitoring module.

[0147] This embodiment processes the data collected by the slope monitoring module through the numerical simulation module and the limit equilibrium model respectively, and fits the processing results to form a slope stability assessment model, which can greatly improve the assessment accuracy, replace the existing manual measurement and assessment methods, avoid assessment errors, and at the same time improve the assessment efficiency, facilitate maintenance personnel to respond quickly, and reduce the occurrence of disasters.

[0148] In summary, the embodiment of the present invention collects environmental data of the slope, performs hierarchical analysis on the environmental data through the hierarchical analysis method, determines the key factors of slope stability and the weights of the key factors, and determines the safety factor of the slope with the limit equilibrium analysis model. Finally, the stability data of the slope under the action of external loads is calculated through numerical simulation, thereby realizing the evaluation of slope stability. The environmental data of the slope is processed by combining hierarchical analysis, limit equilibrium analysis and numerical simulation to fit the slope stability evaluation model, which can greatly improve the accuracy of the slope stability evaluation. Compared with the existing centralized processing evaluation method, the evaluation in a multi-level manner of hierarchical analysis, limit equilibrium analysis and numerical simulation can greatly improve the efficiency of slope stability evaluation.

[0149] The specific embodiments described above further illustrate the purpose, technical solutions and beneficial effects of the present invention. It should be understood that the above description is only a specific embodiment of the present invention and is not intended to limit the scope of protection of the present invention. It is particularly pointed out that for those skilled in the art, any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present invention should be included in the scope of protection of the present invention.

Claims

1. A method for intelligently evaluating slope stability, characterized in that: include: Collect some environmental data of the slope; Performing a hierarchical analysis on the environmental data according to a preset hierarchical analysis method to determine the key factors of slope stability and the weights of the key factors; Inputting the environmental data into a preset limit equilibrium analysis model to obtain a safety factor of the slope; Calculating the stability data of the slope under the external load according to the key factors of the slope stability and the weights of the key factors in combination with the environmental data; The stability data and safety factor are fitted to construct a slope stability assessment model, and the slope stability is assessed in combination with preset historical slope data.

2. A method for intelligently evaluating slope stability according to claim 1, characterized in that: The step of inputting the environmental data into a preset limit equilibrium analysis model to obtain a safety factor of the slope specifically includes: The environmental data is input into a preset limit equilibrium analysis model, and the safety factor of the slope under different working conditions is calculated to obtain the safety factor of the slope; wherein the preset limit equilibrium analysis model includes: ordinary strip method, Swedish arc method and Bishop method.

3. The method for intelligently evaluating slope stability according to claim 1, characterized in that: The calculating of the stability data of the slope under the external load according to the key factors of the slope stability and the weights of the key factors in combination with the environmental data specifically includes: According to the key factors of the slope stability and the weights of the key factors, the environmental data is input into a preset finite element model to calculate the stress, strain and displacement distribution data of the slope under the external load; wherein the external load includes: gravity, water pressure and seismic force; According to the key factors of the slope stability and the weights of the key factors, the environmental data is input into a preset discrete element analysis model to calculate the movement, deformation and destruction process data of the granular material of the slope under the external load; The stability data of the slope under the external load is determined based on the stress, strain and displacement distribution data of the slope under the external load, as well as the movement, deformation and failure process data of the granular material of the slope under the external load.

4. The method for intelligently evaluating slope stability according to claim 1, characterized in that: The stability data and the safety factor are fitted to construct a slope stability assessment model, and the slope stability is assessed in combination with preset historical slope data, specifically including: Fitting the stability data and safety factor to construct a slope stability assessment model; Calculate preliminary assessment data of the slope based on the slope stability assessment model and in combination with a preset long-term and short-term data network; The preliminary evaluation data is compared with the historical slope data. When the comparison result is less than a preset error value, it is determined that the current slope is in a stable state, and the evaluation of the slope stability is completed.

5. A method for intelligently evaluating slope stability according to claim 1 or 4, characterized in that: After the slope stability assessment is performed, the following steps are also included: Conduct expert review of slope stability assessment results; Determine warning data on slope stability based on the results of expert review; The slope is early-warning controlled according to the warning data.

6. A system for intelligently assessing slope stability, characterized in that: include: Environmental data acquisition module, hierarchical analysis module, limit equilibrium analysis module, stability data calculation module and stability assessment module; Wherein, the environmental data acquisition module is used to collect a number of environmental data of the slope; The hierarchical analysis module is used to perform hierarchical analysis on the environmental data according to a preset hierarchical analysis method to determine the key factors of slope stability and the weights of the key factors; The limit equilibrium analysis module is used to input the environmental data into a preset limit equilibrium analysis model to obtain the safety factor of the slope; The stability data calculation module is used to calculate the stability data of the slope under the external load according to the key factors of the slope stability and the weights of the key factors in combination with the environmental data; The stability assessment module is used to fit the stability data and the safety factor to construct a slope stability assessment model, and to assess the slope stability in combination with preset historical slope data.

7. The system for intelligently assessing slope stability according to claim 6, characterized in that: The limit equilibrium analysis module comprises: a limit equilibrium analysis unit; The limit equilibrium analysis unit is used to input the environmental data into a preset limit equilibrium analysis model, calculate the safety factor of the slope under different working conditions, and obtain the safety factor of the slope; wherein the preset limit equilibrium analysis model includes: ordinary strip method, Swedish arc method and Bishop method.

8. The system for intelligently assessing slope stability according to claim 6, characterized in that: The stability data calculation module comprises: a stability data calculation unit; The stability data calculation unit is used to input the environmental data into a preset finite element model according to the key factors of the slope stability and the weights of the key factors, and calculate the stress, strain and displacement distribution data of the slope under the external load; wherein the external load includes: gravity, water pressure and earthquake force; According to the key factors of the slope stability and the weights of the key factors, the environmental data is input into a preset discrete element analysis model to calculate the movement, deformation and destruction process data of the granular material of the slope under the external load; The stability data of the slope under the external load is determined based on the stress, strain and displacement distribution data of the slope under the external load, as well as the movement, deformation and failure process data of the granular material of the slope under the external load.

9. The system for intelligently assessing slope stability according to claim 6, characterized in that: The stability assessment module comprises: a stability assessment unit; The stability assessment unit is used to fit the stability data and the safety factor to construct a slope stability assessment model; Calculate preliminary assessment data of the slope based on the slope stability assessment model and in combination with a preset long-term and short-term data network; The preliminary evaluation data is compared with the historical slope data. When the comparison result is less than a preset error value, it is determined that the current slope is in a stable state, and the evaluation of the slope stability is completed.

10. A system for intelligently assessing slope stability according to claim 6 or 9, characterized in that: The system for intelligently assessing slope stability also includes: an early warning and control module; The early warning and control module is used to conduct expert review of the slope stability assessment results; Determine warning data on slope stability based on the results of expert review; The slope is early-warning controlled according to the warning data.

Images