Method for dynamically evaluating stability of soft rock slope

Abstract

The invention relates to the technical field of geotechnical engineering safety monitoring and evaluation, in particular to a soft rock slope stability dynamic evaluation method which comprises the following steps: S1, acquiring slope environment parameters, construction parameters and geological basic parameters; s2, through simulation of the whole rainfall infiltration process, the spatio-temporal evolution characteristics of pore water pressure in a slope rock stratum are quantified, the aging relation between soil shear strength degradation caused by rainwater and slope displacement is analyzed, and a slope instability threshold calculation model is established; and S3, analyzing the monitored deformation and displacement cumulative effect of the slope and the migration characteristics of the rock stratum slip plane under the load action of the construction vehicle, and constructing a rock stratum instability risk assessment model based on the construction parameters. By comprehensively considering the influence of environmental parameters, construction parameters and geological basic parameters on the slope stability, dynamic evaluation and graded early warning of the slope stability are realized, a construction scheme can be pre-evaluated, and a construction reference is provided for safety management and control of a soft rock slope project.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of geotechnical engineering safety monitoring and evaluation, and particularly relates to a soft rock stratum slope stability dynamic evaluation method. BACKGROUND

[0002] Soft rock stratum slopes are widely used in water conservancy, transportation, and mining engineering construction, and their stability is affected by both natural environment and construction activities, and thus prone to landslides and other geological disasters.

[0003] In terms of natural environment, precipitation is a key factor inducing the instability of soft rock stratum slopes. Precipitation infiltration can increase the pore water pressure in the rock stratum, resulting in a significant deterioration of soil shear strength. When this deterioration exceeds a certain limit, it can trigger slope instability. Different types, intensities, durations, and uniformity of precipitation have significant differences in their effects on slope stability. For example, heavy rain can quickly change the pore water pressure due to the large amount of rainwater infiltration in a short period of time, while continuous rain can slowly infiltrate water and long-term affect the soil structure.

[0004] In construction activities, construction vehicle load is also an important factor affecting slope stability. Different parameters such as load capacity, frequency, and speed of earthmoving vehicles and pump trucks can have different effects on slope load. Vehicle load can induce slope monitoring deformation and displacement accumulation, and even cause potential slip surface migration, threatening slope safety.

[0005] In the prior art, the evaluation of soft rock stratum slope stability often only considers the effects of precipitation or construction vehicle load, which cannot comprehensively and accurately reflect the actual stability of the slope. Moreover, the evaluation model has weak reflection ability and cannot be dynamically adjusted according to the actual situation. There is a lack of corresponding early warning mechanism and disposal method, which cannot meet the needs of engineering safety control. Therefore, there is an urgent need for a soft rock stratum slope stability evaluation method that can comprehensively consider multiple factors and has dynamic evaluation and intelligent early warning functions, thereby providing safety assurance for rock stratum slope construction. SUMMARY

[0006] The purpose of the present application is to provide a soft rock stratum slope stability dynamic evaluation method to solve the above problems. By comprehensively considering the effects of environmental parameters, construction parameters, and geological foundation parameters on slope stability, the method can achieve dynamic evaluation and hierarchical early warning of slope stability, and can also pre-evaluate construction schemes, providing construction reference for safety control of soft rock stratum slope engineering. Details are described below.

[0007] To achieve the above purpose, the present application provides the following technical solutions: The soft rock stratum slope stability dynamic evaluation method provided by the present application comprises the following steps: S1. Obtain the slope environment parameters, construction parameters and geological basic parameters, the environment parameters at least include the precipitation type, precipitation intensity, precipitation duration and precipitation distribution uniformity, the precipitation distribution uniformity can be calculated by the precipitation data of multiple monitoring points, the construction parameters at least include the vehicle type, load, passing frequency, passing speed and load action duration of the construction vehicle, the vehicle type determines the self-weight and load distribution characteristics of the vehicle; the load is obtained by vehicle load recording information or a weighing device preset on the road in front of the slope; the passing frequency is the number of vehicles passing through a specific evaluation area of the slope per unit time; the passing speed is obtained by analyzing the roadside speed measurement device; the load action duration is the time when the vehicle applies load to the slope; The geological basic parameters include the natural density of rock stratum and vegetation coverage, the natural density of rock stratum is determined by laboratory test; the vegetation coverage is obtained by remote sensing image analysis or field investigation; S2. Quantify the time-space evolution characteristics of the pore water pressure in the slope rock stratum through the whole process simulation of precipitation infiltration, considering the influence of factors such as initial water content, fracture distribution rate and vegetation coverage in the simulation process. The time-space evolution characteristics of the pore water pressure reflect the changes of the pore water pressure at different positions and different time points; The time-effect relationship between the rainwater-induced soil shear strength degradation and the slope displacement is analyzed, the soil shear strength will gradually decrease with the infiltration of rainwater, and then the displacement of the slope will be caused, and this change has a certain time effect; Based on the above analysis, a slope instability threshold calculation model is established with the environment parameters as input, which can output parameters such as slope shear strength threshold and maximum allowable displacement value of soil, when the actual monitoring value reaches or exceeds these thresholds, it indicates that the slope has instability risk; S3. Analyze the monitoring deformation, displacement accumulation effect and migration characteristics of the rock stratum slip surface of the slope under the action of construction vehicle load. The monitoring deformation and displacement accumulation effect are obtained by corresponding monitoring equipment, which reflect the dynamic response of the slope under the action of vehicle load; the migration characteristics of the rock stratum slip surface reflect the changes of the potential danger area. A rock stratum instability risk assessment model based on construction parameters is constructed, which includes a vehicle load dynamic attenuation coefficient that decreases with the increase of load action distance, and a dynamic incremental effect analysis of multi-vehicle superimposed load. The vehicle load dynamic attenuation coefficient considers the energy loss in the propagation process of the load, and the dynamic incremental effect analysis of multi-vehicle superimposed load considers the superimposed influence of the load when multiple vehicles act at the same time, so that the model can more accurately evaluate the influence of construction vehicle load on the slope stability. S4. The fusion of the slope instability threshold calculation model and the rock layer instability risk assessment model forms a dynamic analysis model. The fusion process includes time matching and abnormal value removal of multi-source time series data to ensure the consistency and reliability of the data. The multi-source time series data includes on-site precipitation type, precipitation intensity, precipitation time, slope soil deformation, displacement, and construction vehicle working condition parameters. By inputting real-time environmental parameters, construction parameters, and geological basic parameters, the dynamic analysis model outputs the slope stability assessment results, which can reflect the current stability state of the slope. S5. Based on the output results of the dynamic analysis model, a slope stability distribution map is generated to intuitively show the location of high-risk areas and the risk diffusion trend, providing clear visual information for engineering management personnel to take targeted control measures.

[0008] As a preferred, the whole process of precipitation infiltration simulation in S2 includes multi-initial quantity analysis of inputting initial water content, fracture distribution rate, and vegetation coverage rate. The slope instability threshold calculation model outputs include slope shear strength threshold and maximum allowable displacement value of soil.

[0009] As a preferred, the monitoring of deformation and displacement cumulative effect in S3 is obtained by buried displacement sensors, stress sensors, and distributed optical fiber monitoring devices at a depth of 0.5-1 m in the slope soil layer. The migration characteristics of the rock layer slip surface are obtained by numerical simulation, combined analysis of on-site drilling detection data and on-site monitoring data.

[0010] As a preferred, the multi-source time series data in S4 includes on-site precipitation type, precipitation intensity, precipitation time, slope soil deformation, displacement, and construction vehicle working condition parameters.

[0011] As a preferred, it also includes a hierarchical early warning and disposal strategy: When the slope stability assessment results output by the dynamic analysis model reach the first-level early warning threshold of 70%-80% risk value, trigger the early warning prompt and push the list of attention area locations; When it reaches the second-level early warning threshold of 80%-90% risk value, trigger real-time early warning and automatically push suggestions to limit vehicle access and adjust construction timing; When it reaches the third-level early warning threshold of risk value ≥ 90%, trigger emergency warning, simultaneously start the drainage system, suspend construction in the dangerous area, and push sound and light alarm information to management personnel and construction teams through WeChat API.

[0012] As a preferred, the real-time early warning is pushed to the preset terminal through WeChat API, and the disposal strategy is dynamically regulated based on early warning levels, on-site real-time parameters, and historical disposal effect feedback.

[0013] As preferred, the dynamic analysis model has self-adaptive optimization capability, realizes multi-way feedback through historical evaluation data, actual slope observation state, artificial intervention record and past engineering case data, iteratively adjusts the slope stability evaluation result, and supports manual calibration of the evaluation result according to the actual slope observation state.

[0014] As preferred, construction scheme pre-evaluation is further included. The dynamic analysis model outputs the slope stability prediction result during construction in advance to assist in optimizing the construction scheme to reduce risks.

[0015] Beneficial effects are as follows: 1. The present application takes into account the influence of environmental parameters, construction parameters and geological basic parameters on slope stability, overcomes the limitation of considering single factors in the prior art, realizes real-time dynamic evaluation of slope stability by establishing a dynamic analysis model, can timely reflect the change of slope state, provides reference for engineering safety control, and can more comprehensively and accurately evaluate slope stability; 2. A hierarchical early warning mechanism is adopted, corresponding early warning measures and disposal strategies are taken according to different risk levels, the pertinence and effectiveness of early warning are improved, which helps to timely prevent slope instability risks, and the dynamic analysis model can iteratively adjust the evaluation result through multi-way feedback, while supporting manual calibration, which improves the evaluation accuracy and adaptability of the model and can better adapt to the needs of different engineering scenarios; 3. In addition, construction scheme pre-evaluation is supported, the slope stability during construction can be predicted in advance by inputting the predicted environmental parameters, construction parameters and geological basic parameters, which provides reference for optimization of the construction scheme, helps to reduce risks in the construction process, and improves the safety and economy of engineering construction. BRIEF DESCRIPTION OF DRAWINGS

[0016] In order to more clearly illustrate the technical solutions in the embodiments of the present application or the prior art, the drawings needed to be used in the embodiments or prior art description will be briefly introduced as follows. Obviously, the drawings in the following description only some embodiments of the present application, and for those skilled in the art, other drawings can be obtained without creative labor on the basis of these drawings.

[0017] Figure 1 is the evaluation method logic diagram of the present application; Figure 2 is the dynamic evaluation method flow chart of the present application. DETAILED DESCRIPTION

[0018] With reference to the drawings of the embodiments of the present application, the technical solutions in the embodiments of the present application will be clearly described. Obviously, the described embodiments are a part rather than all of the embodiments of the present application. Based on the embodiments of the present application, all other embodiments obtained by a person of ordinary skill in the art based on the embodiments in the present application without creative efforts belong to the scope of the present application.

[0019] In the description of the specification, the description of the terms "one embodiment", "some embodiments", "exemplary embodiment", "example", "specific example", or "some examples" means that the specific features, structures, materials or characteristics described in connection with the embodiment or example are included in at least one embodiment or example of the present application. In the specification, the exemplary description of the above terms does not necessarily mean the same embodiment or example. Moreover, the specific features, structures, materials or characteristics described can be combined in any one or more embodiments or examples in a suitable manner.

[0020] Referring to FIGS. 1 to 3, Figure 1 , Figure 2 The present application provides a soft rock slope stability dynamic evaluation method, comprising the following steps: S1. Obtain the slope environment parameters, construction parameters and geological basic parameters, the environment parameters at least include the precipitation type, precipitation intensity, precipitation duration and precipitation distribution uniformity, the precipitation distribution uniformity can be calculated by the precipitation data of multiple monitoring points, specifically, the ratio of the standard deviation and the average value of the precipitation amount of each monitoring point is calculated, the smaller the value, the more uniform the precipitation distribution, the construction parameters at least include the vehicle type, load, passing frequency, passing speed and load duration of the construction vehicle, the vehicle type determines the self weight and load distribution characteristics of the vehicle; The load is obtained by vehicle load recording information or a weighing device preset on the road in front of the slope, preferably a weighing device on the road in front of the slope, the weighing device is bound with a truck license plate recognition system, and the vehicle model and load data are automatically matched; The passing frequency is the number of vehicles passing through a specific evaluation area of the slope per unit time, which is counted by a roadside camera combined with a video recognition algorithm, and the boundary of the evaluation area is determined by GPS coordinates; The passing speed is obtained by analyzing the roadside speed measurement device, which is collected in real time by a radar speedometer, and the data refresh frequency is 1 time / second; The load duration is the time during which the vehicle applies load to the slope, in addition, it also includes the wheel track and axle distance parameters, which are used to calculate the load action area and distribution form and other information; The geological foundation parameters include rock stratum natural density and vegetation coverage, the rock stratum natural density is determined through laboratory test, the sampling is carried out by using a cutting ring method, and the rock stratum natural density is calculated after drying; the vegetation coverage is obtained through remote sensing image analysis or field investigation, the remote sensing image adopts unmanned aerial vehicle aerial image, and then a vegetation proportion index is extracted to calculate the coverage, so as to provide key boundary conditions for rainfall infiltration simulation and improve the calculation accuracy of pore water pressure; S2. Through rainfall infiltration simulation, the time-space evolution characteristics of the pore water pressure in the rock stratum of the slope are quantified, and the influences of the initial water content, crack distribution rate and vegetation coverage of the rock stratum are considered in the simulation process. The time-space evolution characteristics of the pore water pressure reflect the changes of the pore water pressure at different positions and different time points. In this way, by constructing a three-dimensional seepage model, the slope is divided into 1m×1m×0.5m grid units, the pore water pressure values of each unit in the rainfall process are output in real time, and the dynamic influence of rainfall infiltration on the mechanical properties of the rock stratum is obtained; The time-effect relationship between the rainwater-induced soil shear strength degradation and the slope displacement is analyzed. The soil shear strength gradually decreases with the rainfall infiltration, and then the slope displacement is caused. The change has a certain time effect, and then the shear strength parameters under different water contents, including the cohesion c and the internal friction angle φ, are determined through experiments. Combined with the field displacement monitoring data, the quantitative correlation between the shear strength degradation degree and the displacement rate is established. When the shear strength decreases by 10%, the displacement rate increases by 0.2mm / day. Based on the above analysis, a slope instability threshold calculation model is established, which takes the environmental parameters as inputs. The model can output parameters such as the slope shear strength threshold and the maximum allowable displacement value of the soil. When the actual monitoring value reaches or exceeds these thresholds, it indicates that the slope has a risk of instability, thereby providing a clear basis for judging the slope instability induced by rainfall; S3. The monitored deformation, displacement accumulation effect and rock stratum slip surface migration characteristics of the slope under the action of construction vehicle load are analyzed. The monitored deformation and displacement accumulation effect are obtained through corresponding monitoring equipment, which reflect the dynamic response of the slope under the action of vehicle load; the migration characteristics of the rock stratum slip surface reflect the changes of the potential danger area, so as to track the shear strain increment zone under different loads through numerical simulation software, and identify the hidden damage trend in the slope in advance in combination with the crack development observed by drilling. A rock stratum instability risk assessment model based on construction parameters is constructed, which contains a vehicle load dynamic attenuation coefficient that decreases with the increase of load action distance, and a dynamic incremental effect analysis of multi-vehicle superimposed load. The vehicle load dynamic attenuation coefficient considers the energy loss of the load in the propagation process, and the dynamic incremental effect analysis of multi-vehicle superimposed load considers the superimposed effect of the load when multiple vehicles act simultaneously, so that the model can more accurately assess the influence of construction vehicle load on slope stability. In this way, fine assessment of slope risk under complex construction load conditions can be achieved. S4. The slope instability threshold calculation model is fused with the rock stratum instability risk assessment model to form a dynamic analysis model. The fusion process includes time matching and abnormal value removal of multi-source time series data. Specifically, linear interpolation method is used to unify the data with different sampling frequencies to 10 minutes / time, and abnormal value removal is used to remove data beyond ±3 times the standard deviation of the mean value to ensure the consistency and reliability of the data. In addition, the multi-source time series data includes on-site precipitation type, precipitation intensity, precipitation time, slope soil deformation, displacement, and construction vehicle working condition parameters, so as to eliminate abnormal data interference and improve the quality of model input data. By inputting environmental parameters, construction parameters and geological basic parameters in real time, the dynamic analysis model outputs the slope stability assessment results, which can reflect the current stability state of the slope. The assessment results are expressed in terms of safety factor (Fs), where Fs≥1.2 is stable, 1.0≤Fs<1.2 is basically stable, and Fs<1.0 is unstable.

[0021] wherein the calculation formula of Fs is: wherein, t 劣化 is the actual value of soil shear strength degradation caused by precipitation, L is the length of the potential slip surface of the slope, W is the predicted self-weight of the slope soil, P 车 is the construction vehicle load, and θ is the inclination angle of the potential slip surface.

[0022] S5. Based on the output results of the dynamic analysis model, a slope stability distribution map is generated, and the assessment results are visualized using image software, with red indicating instability, yellow indicating basic stability, and green indicating stability, so as to realize three-color classification display and intuitively display the location of high-risk areas and risk diffusion trend, providing clear visual information for engineering management personnel to take targeted control measures.

[0023] As an optional implementation, the whole process simulation of the rainfall infiltration in S2 includes multi-initial quantity analysis of input initial water content, fissure distribution rate and vegetation coverage rate, the output of the slope instability threshold calculation model includes the slope shear strength threshold and the maximum allowable displacement value and the pore water pressure critical value, so that the pore water pressure critical value is introduced as a triple judgment index, which can greatly improve the accuracy of instability warning and avoid single index misjudgment; The pore water pressure critical value calculation formula is: In the formula, The pore water pressure critical value (kPa), The water density (9.8 kN / m 3 ), The average height of the slope (m), The porosity of the rock stratum (%).

[0024] The monitoring of deformation and displacement cumulative effect in S3 is obtained by burying displacement sensors, stress sensors and distributed optical fiber monitoring devices in the soil layer of the slope at a depth of 0.5-1 m, and the migration characteristics of the rock stratum slip surface are obtained by numerical simulation, combined analysis of field drilling detection data and field monitoring data, so that the global and real-time monitoring of slope deformation is realized, and the slip surface recognition accuracy is improved through multi-source data fusion; The multi-source time series data in S4 includes real-time monitoring data of on-site rainfall type, rainfall intensity, rainfall time, slope soil deformation, displacement, pore water pressure, construction vehicle working condition parameters and rock stratum weathering degree, and the rock stratum weathering degree is determined by a portable rebound hammer. One monitoring point is arranged every 50 m 2 The data is updated once a day, which can comprehensively cover the key factors affecting the slope stability and provide full-range data support for dynamic evaluation; It also includes hierarchical warning and disposal strategies: When the slope stability evaluation result output by the dynamic analysis model reaches the first-level warning threshold of 70%-80% risk value, an early warning prompt is triggered and a list of attention area positions is pushed, so as to remind the management personnel to increase the patrol frequency of the area and focus on checking the slope top cracks and slope foot seepage; When the second-level warning threshold of 80%-90% risk value is reached, real-time warning is triggered and suggestions of limiting vehicle traffic and adjusting construction timing are automatically pushed, so as to limit the vehicle traffic speed below 5 km / h, reduce the daily traffic frequency by half, and avoid rain day construction to reduce the disturbance of external load on the slope; When the third-level early warning threshold of the risk value is greater than or equal to 90%, an emergency early warning is triggered, the drainage system is started synchronously, the construction in the dangerous area is suspended, and sound and light alarm information is pushed to the managers and the construction team through the WeChat API, so that the water content of the slope body is controlled below the critical value by starting the automatic water pump of the water interception ditch at the top of the slope and the drainage ditch at the bottom of the slope, the construction personnel are organized to evacuate to the safe area, the safety risk is responded quickly, and the safety of the construction personnel is maximized; The real-time early warning is pushed to the preset terminal through the WeChat API and the on-site sound and light alarm is started synchronously, and the disposal strategy is dynamically adjusted based on the early warning level, the real-time on-site parameter and the historical disposal effect feedback; In addition, the dynamic analysis model has self-adaptive optimization capability, realizes multi-way feedback through historical evaluation data, actual slope observation state, artificial intervention record and past engineering case data, iteratively adjusts the slope stability evaluation result, and supports manual calibration of the evaluation result according to the actual slope observation state, so that the risk level of the corresponding area can be manually improved when a new crack is found on site but not identified by the model, thereby continuously improving the adaptability of the model to a specific engineering scene and ensuring that the evaluation result is reliable in the long term; The application also includes construction scheme pre-evaluation: Specifically, the construction vehicle scheduling plan, the construction timing arrangement and the precipitation forecast information to be adopted are input, the dynamic analysis model outputs the slope stability prediction result during construction in advance, the construction scheme is optimized to reduce the risk, thereby realizing pre-control of the construction risk and reducing the delay of the construction period and economic losses caused by slope instability.

[0025] The application also includes the influence of environmental parameters, construction parameters and geological basic parameters on the slope stability, overcomes the limitation of considering only a single factor in the prior art, realizes real-time dynamic evaluation of the slope stability by establishing a dynamic analysis model, can timely reflect the change of the slope state, provides a reference for engineering safety control, and can more comprehensively and accurately evaluate the slope stability; The hierarchical early warning mechanism is adopted, corresponding early warning measures and disposal strategies are taken according to different risk levels, the pertinence and effectiveness of early warning are improved, the slope instability risk can be prevented in time, the dynamic analysis model can iteratively adjust the evaluation result through multi-way feedback, and manual calibration is supported, the evaluation accuracy and adaptability of the model are improved, and the model can better adapt to the needs of different engineering scenes; In addition, the construction scheme pre-evaluation is also supported, the slope stability during construction can be predicted in advance by inputting the predicted environmental parameters, construction parameters and geological basic parameters, a reference is provided for optimization of the construction scheme, the risk in the construction process can be reduced, and the safety and economy of the engineering construction are improved.

[0026] The above merely illustrates the specific embodiments of the present application, but the protection scope of the present application is not limited thereto, any person skilled in the art can easily think of the changes or replacements within the technical range disclosed by the present application, which should be covered in the protection scope of the present application. Therefore, the protection scope of the present application should be subject to the protection scope of the claims.

Claims

1. A method for dynamic evaluation of the stability of a soft rock slope, characterized in that, Comprising the following steps: S1. Obtain the slope environmental parameters, construction parameters and geological basic parameters, the environmental parameters at least include precipitation type, precipitation intensity, precipitation duration and precipitation distribution uniformity, the construction parameters at least include vehicle type, load, traffic frequency, traffic speed and load duration of construction vehicles, and the geological basic parameters include rock natural density and vegetation coverage; S2. Quantify the time-space evolution characteristics of pore water pressure in slope rock through the whole process simulation of precipitation infiltration, analyze the time-effect relationship between rainwater-induced soil shear strength degradation and slope displacement, and establish a slope instability threshold calculation model with the environmental parameters as input; S3. Analyze the monitoring deformation, displacement accumulation effect and rock layer slip surface migration characteristics of the slope under the action of the construction vehicle load, and construct a rock layer instability risk assessment model based on the construction parameters, which contains a vehicle load dynamic attenuation coefficient that decreases with the increase of load action distance, and a dynamic increasing effect analysis of multiple vehicle superimposed load; S4. Fusion of the slope instability threshold calculation model and the rock layer instability risk assessment model forms a dynamic analysis model, which outputs the slope stability evaluation results by real-time input of the environmental parameters, construction parameters and geological basic parameters, the fusion process includes time matching and abnormal value removal of multi-source time series data; S5. Based on the output results of the dynamic analysis model, generate a slope stability distribution map to show the location of high-risk areas and risk diffusion trend.

2. The method for dynamic assessment of the stability of a soft rock slope according to claim 1, characterized in that, The whole process simulation of precipitation infiltration in S2 includes multi-initial analysis of initial water content, fracture distribution rate and vegetation coverage of rock, and the slope instability threshold calculation model output includes slope shear strength threshold and maximum allowable displacement value of soil.

3. The method for dynamic assessment of the stability of a soft rock slope according to claim 1, characterized in that, The monitoring deformation and displacement accumulation effect in S3 are obtained by buried displacement sensors, stress sensors and distributed optical fiber monitoring devices at a depth of 0.5-1m in the slope soil layer, and the migration characteristics of the rock layer slip surface are obtained by numerical simulation, combined analysis of field drilling detection data and field monitoring data.

4. The method for dynamic assessment of soft rock slope stability according to claim 3, characterized in that, The multi-source time series data in S4 includes field precipitation type, precipitation intensity, precipitation time, slope soil deformation, displacement and construction vehicle working condition parameters.

5. The method for dynamic assessment of soft rock slope stability of claim 1, wherein, It also includes hierarchical early warning and disposal strategy: When the slope stability evaluation results output by the dynamic analysis model reach the first level early warning threshold of 70%-80% risk value, trigger early warning prompt and push the list of attention area location; When it reaches the second level early warning threshold of 80%-90% risk value, trigger real-time early warning and automatically push the suggestion of limiting vehicle traffic and adjusting construction timing; When it reaches the third level early warning threshold of risk value ≥90%, trigger emergency warning, start the drainage system and suspend construction in the dangerous area, and push the sound and light alarm information to the management personnel and construction team through WeChat API.

6. The method for dynamic assessment of the stability of a soft rock slope according to claim 5, characterized in that, The real-time early warning is pushed to the preset terminal through WeChat API, and the disposal strategy is dynamically regulated based on early warning level, real-time parameters and historical disposal effect feedback.

7. The method for dynamic assessment of soft rock slope stability of claim 1, wherein, The dynamic analysis model has self-adaptive optimization capability, realizes multi-way feedback through historical evaluation data, actual slope observation state, artificial intervention record and past engineering case data, iteratively adjusts the slope stability evaluation result, and supports manual calibration of the evaluation result according to the actual slope observation state.

8. The method for dynamic assessment of the stability of a soft rock slope according to claim 1, characterized in that, It also includes pre-evaluation of construction plan: By inputting the construction vehicle scheduling plan to be adopted, the construction timing arrangement and the precipitation forecast information, the dynamic analysis model outputs the slope stability prediction result during construction in advance, and assists in optimizing the construction plan to reduce the risk.

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