Reservoir bank dangerous rock mass dynamic monitoring and surge prediction system and method

Abstract

A reservoir bank dangerous rock mass dynamic monitoring and surge prediction method mainly comprises a three-dimensional river scene module, a dangerous rock mass three-dimensional geologic body model module, a dangerous rock mass geological data monitoring module, a dangerous rock mass video dynamic monitoring module, a dangerous rock mass digital twinborn simulation calculation module and a dangerous rock mass collapse early warning module. Wherein the three-dimensional river scene module is used for establishing a digital river scene model by fusing engineering geological information, including river water level change data, flow data, distribution data of residential areas along a river and river sailing ship information, of bank slopes along the river on the basis of three-dimensional topographic data along the bank of the river; the dangerous rock body three-dimensional geologic body model module is used for fusing dangerous rock body engineering geological information into a three-dimensional river scene model to establish a dangerous rock body three-dimensional geologic body model; and the dangerous rock mass video dynamic monitoring module. The method is used for solving the difficult problems that current reservoir bank dangerous rock mass monitoring data is single, and the application effect is insufficient.

Description

Technical Field

[0001] The invention relates to a system and method for dynamic monitoring of dangerous rock masses at a reservoir bank and for predicting surges. Background Art

[0002] my country's southwest region is rich in hydropower resources. In recent years, as the country has accelerated the development of hydropower resources in the southwest region, a large number of hydropower stations have been newly built and major reservoirs have been put into operation. Strong disturbances caused by human engineering activities and rising water levels have caused changes in the engineering geological environment of the reservoir area. Over time, the strength of the rock mass in the drawdown zone of the reservoir bank slope will gradually decrease, and the stability of the dangerous rock mass will continue to decrease. Once instability and damage occur, it will trigger secondary surge disasters with a wider threat range and more severe impact.

[0003] Therefore, it is crucial to establish a digital twin system and carry out intelligent dynamic monitoring and early warning for various inducing factors that affect the stability of dangerous rock masses in order to build a smart water conservancy system. At present, there are various monitoring methods for dangerous rock masses on reservoir banks, but traditional monitoring methods have great limitations: 1. The investigation and monitoring methods of dangerous rock masses on reservoir banks are mainly based on manual investigation. However, dangerous rock masses on reservoir banks often develop on steep slopes of reservoir banks, and the working conditions are extremely harsh. The investigation time is long, the investigation is difficult, and the investigation accuracy is limited, which has great limitations.

[0004] 2. The traditional survey method has a single survey object and means, and the data obtained is relatively simple, which makes it difficult to intuitively reflect the actual situation of the dangerous rock mass, resulting in low accuracy of the results and great difficulty in early warning.

[0005] 3. It is difficult for non-professional technicians to intuitively understand the current stability status of the dangerous rock mass and accurately evaluate its consequences.

[0006] In the prior art, although there have been many publications on inventions related to dangerous rock mass monitoring, it is difficult to obtain comprehensive information on dangerous rock masses on the reservoir bank and have a deeper understanding of their stability due to the limitations of feasibility and operability. In addition, due to the extremely complex evolution and instability process of dangerous rock masses, traditional research methods find it difficult to comprehensively consider the many influencing factors that induce the instability of dangerous rock masses on the reservoir bank. In-depth consideration of the impact of rock mass strength and rock mass structure in the drawdown zone on the stability of dangerous rock masses is insufficient in this field, and the prediction and early warning methods for subsequent secondary surge disasters to residential areas and sailing ships along the line have been neglected. However, these aspects are crucial for monitoring dangerous rock masses on the reservoir bank and predicting secondary surge disasters. Based on this, there is an urgent need for a technical method that can intuitively display the current status and monitoring results of dangerous rock masses on the reservoir bank to users, and convey surge hazard information to coastal residents and ships. Summary of the invention The purpose of the present invention is to provide a system and method for dynamic monitoring of dangerous rock masses on reservoir banks and prediction of surges, and to apply the concept of digital twin technology to the monitoring of dangerous rock masses on reservoir banks, so as to solve the difficult problems of single monitoring data of dangerous rock masses on reservoir banks and insufficient application effect.

[0007] In order to solve the above problems, the technical solution of the present invention is: A reservoir bank dangerous rock body dynamic monitoring and surge prediction system, comprising a three-dimensional river scene module, a dangerous rock body three-dimensional geological body model module, a dangerous rock body geological data monitoring module, a dangerous rock body video dynamic monitoring module, a dangerous rock body digital twin simulation calculation module and a dangerous rock body collapse warning module, wherein the three-dimensional river scene module is used to use the three-dimensional terrain data along the river bank and integrate the engineering geological information of the bank slope along the river to establish a digital river scene model; The dangerous rock mass three-dimensional geological body model module is used to establish a dangerous rock mass three-dimensional geological body model by integrating the dangerous rock mass engineering geological information into the three-dimensional river scene model; The dangerous rock mass geological data monitoring module is used to dynamically monitor the real-time situation of the dangerous rock mass based on the data transmitted by the rain gauge, displacement meter and stress meter arranged on the dangerous rock mass; The dangerous rock mass video dynamic monitoring module is used to dynamically monitor the displacement changes of the dangerous rock mass in real time by arranging video monitoring instruments on the bank slopes on both sides of the dangerous rock mass and the bank slope on the opposite bank, extract the moving rock mass area, and predict the specific location and volume of the deformed dangerous rock mass; The dangerous rock mass digital twin simulation calculation module is used to realize dynamic update of dangerous rock mass data by integrating information of the three-dimensional river scene module, the three-dimensional geological body model module of the dangerous rock mass, the dangerous rock mass geological data monitoring module and the dangerous rock mass video dynamic monitoring module; The dangerous rock mass collapse warning module is used to dynamically display the unstable movement, surge generation and propagation process of the dangerous rock mass in the three-dimensional river scene module according to the calculation results of the dangerous rock mass digital twin simulation calculation module, and divide the surge risk area according to the size of the surge height, and send warning information to residential areas and ships in the surge risk area.

[0008] A method for dynamic monitoring of dangerous rock masses on a reservoir bank and a surge prediction system, comprising the following steps: Step S1, collecting three-dimensional terrain data of the slopes on both sides of the river, water level, flow, distribution data of residential areas along the river, and information of ships sailing on the river, and establishing a three-dimensional river scene module; Step S2: Conduct a detailed engineering geological survey on the dangerous rock mass site to collect the boundary, stratum lithology distribution, internal structure and crack information of the dangerous rock mass, and assign them to the three-dimensional river scene module to obtain a three-dimensional geological model of the specific dangerous rock mass on the corresponding bank slope; Step S3, using the engineering geological information of the dangerous rock mass collected in step S2, determining the instability mode of the dangerous rock mass, and arranging a displacement monitor at the cracks of the dangerous rock mass to monitor the deformation of the trailing edge cracks, arranging a stress gauge at the base rock mass of the dangerous rock mass to monitor the change of stress in the vertical direction of the dangerous rock mass, and arranging a rain gauge on the slope to monitor the change of rainfall on the slope; Step S4: video monitoring equipment is arranged on both sides of the dangerous rock mass and on the opposite bank slope to obtain image data of the dangerous rock mass in real time, and based on the moving target monitoring algorithm, the displacement change of the dangerous rock mass is dynamically monitored in real time, the moving rock mass area is captured, and the specific position and volume of the dangerous rock mass that is deformed in real time are predicted; Step S5, setting a threshold value for the displacement value and stress value of the dangerous rock mass, judging whether to enter the stability calculation module by checking whether the displacement monitoring data and stress monitoring data obtained in step S3 or the displacement value of the moving rock mass captured in step S4 reaches the threshold value, and calculating the stability of the dangerous rock mass based on the limit equilibrium principle; Step S6, when the stability coefficient FOS of the dangerous rock mass is calculated in the stability calculation module and is ≤ 1, the speed calculation module and the surge calculation module are started to calculate the water entry speed of the dangerous rock mass based on the energy conservation principle, and the surge size is calculated based on the formula method; Step S7: Using the surge calculation results obtained by the dangerous rock mass digital twin simulation calculation module in step S6, different surge danger zones are divided based on the surge height in the river channel, and the surge intensity information in the surge danger zone is sent to residents and sailing ships in the affected area. The beneficial effects of the present invention are: (1) Through the above technical methods, a dynamic monitoring method for dangerous rock masses on reservoir banks and a surge prediction method based on digital twin technology can integrate multi-source data to establish a digital three-dimensional river scene module, and realize the dynamic display of river water level, flow velocity, sailing ships, rainfall and other information, so that non-professionals can understand the dynamic information of the river more intuitively and easily, and grasp the current state of the river; (2) Through the above technical methods, a dynamic monitoring and surge prediction method for dangerous rock masses on reservoir banks based on digital twin technology can integrate geological information into the above three-dimensional river scene model, establish a three-dimensional geological body model corresponding to the bank slope, and realize comprehensive monitoring and early warning of geological disaster bodies. It helps non-professionals to grasp the dynamic information of geological bodies in real time and also provides strong support for disaster prevention and mitigation work.

[0009] (3) Through the above technical methods, a dynamic monitoring and surge prediction method for dangerous rock masses on the reservoir bank based on digital twin technology can use video dynamic monitoring data to determine the movement state and position of dangerous rock masses in real time, predict the volume of dangerous rock masses, update detailed information of dangerous rock masses, and obtain more accurate results; to avoid focusing only on the overall monitoring of dangerous rock masses and ignoring the possibility of local instability. Intelligent and accurate prediction is achieved, and a digital twin monitoring system that conforms to actual conditions is established.

[0010] (4) Through the above technical methods, a dynamic monitoring and surge prediction method for dangerous rock masses on reservoir banks based on digital twin technology can dynamically determine the stability of the current dangerous rock masses in real time by integrating the above river information, dangerous rock mass geological information and monitoring information, and simulate and calculate subsequent secondary surge disasters; at the same time, it can also send early warning information to residents and ships in the surge impact area based on the information in the three-dimensional river scene module, so as to facilitate users to warn and predict geological disasters. BRIEF DESCRIPTION OF THE DRAWINGS

[0011] The present invention will be further described below in conjunction with the accompanying drawings: Figure 1 is a schematic diagram of each system module of the present invention; Figure 2 It is a calculation flow chart of the present invention; Figure 3 It is a digital river scene model; Figure 4 It is a three-dimensional geological model of dangerous rock mass; Figure 5 This is a zoning diagram of the intensity of dangerous rock collapse surges; Explanation of the accompanying reference numerals: 1 Diaozui dangerous rock mass; 2 water body; 3 mountain; 4 residential area; 5 water level meter; 6 video monitoring instrument; 7 displacement meter; 8 rain gauge; 9 extremely high surge intensity area; 10 very high surge intensity area; 11 high surge intensity area; 12 medium surge intensity area; 13 low surge intensity area. DETAILED DESCRIPTION

[0012] 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.

[0013] like Figures 1 to 5As shown, a reservoir bank dangerous rock mass dynamic monitoring and surge prediction system includes: a three-dimensional river scene module, a dangerous rock mass three-dimensional geological body model module, a dangerous rock mass geological data monitoring module, a dangerous rock mass video dynamic monitoring module, a dangerous rock mass digital twin simulation calculation module and a dangerous rock mass collapse warning module.

[0014] The three-dimensional river scene module is based on the three-dimensional terrain data along the river, integrating the engineering geological information of the bank slope along the river, including river water level change data, flow data, distribution data of residential areas along the river, and river navigation ship information, to establish a digital river scene model; The dangerous rock mass three-dimensional geological body model module uses the dangerous rock mass engineering geological information and integrates it into the three-dimensional river scene model to establish a dangerous rock mass three-dimensional geological body model; The dangerous rock mass video dynamic monitoring module arranges video monitoring instruments on the bank slopes on both sides of the dangerous rock mass and the bank slope on the opposite bank, and based on the moving target monitoring algorithm, dynamically monitors the displacement changes of the dangerous rock mass in real time, extracts the moving rock mass area, and predicts the specific location and volume of the deformed dangerous rock mass.

[0015] The dangerous rock mass digital twin simulation calculation module realizes dynamic update of dangerous rock mass data by integrating information of the above modules.

[0016] Furthermore, the dangerous rock mass digital twin simulation calculation module includes a monitoring data threshold module, a stability calculation module, a velocity calculation module and a surge calculation module; wherein, The monitoring data threshold module is used to set thresholds for the displacement value and stress value of the dangerous rock mass, and when the displacement or stress value reaches the specified threshold, the stability calculation module, the speed calculation module and the surge calculation module are turned on; or the dangerous rock mass video dynamic monitoring module, when the displacement of the dangerous rock mass reaches the specified threshold, the stability calculation module is also turned on; The stability calculation module is used to determine the instability mode of the dangerous rock mass according to the above-mentioned various monitoring information, and based on the limit equilibrium principle, the stability coefficient of the dangerous rock mass is calculated in real time using the formula method. When the calculated stability coefficient of the dangerous rock mass is ≤1, the speed calculation module and the surge calculation module are started; The calculation formulas for the stability of various types of dangerous rock masses are as follows: Sliding dangerous rock calculation formula: FOS = [(W × Cosα-V) × tan -1 φ+cl] / (W×sinα); Calculation formula for falling dangerous rocks: FOS = [C × (Hh)] / W; Calculation formula for crushing dangerous rock: FOS = σ c / [σ c ]; Calculation formula for tipping dangerous rock: Among them, FOS is the stability coefficient of dangerous rock mass; W is the deadweight of dangerous rock mass (kN / m); α is the inclination angle of sliding surface (°); β is the inclination angle of trailing edge crack (°); V is the crack water pressure (kN / m); φ is the internal friction angle of sliding surface (°); c is the standard value of cohesion of trailing edge crack (kPa); f is the standard value of internal friction angle of trailing edge crack (°); C is the standard value of cohesion of dangerous rock mass (kPa); H is the vertical distance from the upper end of trailing edge crack to the lower end of unpenetrated section (m); h w is the water-filled height of the trailing edge fissure (m); b is the horizontal distance from the lower end of the unpenetrated section of the trailing edge fissure to the overturning point (m).

[0017] The speed calculation module is used to determine the instability mode of the dangerous rock mass according to the above-mentioned various monitoring information, calculate the water entry speed of the dangerous rock mass in real time based on the energy conservation principle, and adopt a formula method; The calculation formula for the water entry speed of the dangerous rock mass is:

[0018] Where Vmax is the maximum sliding speed parallel to the sliding surface (m / s); a is the sliding acceleration of the sliding body (m / s 2 ); L is the sliding distance (m); α is the sliding surface inclination (°); f m is the friction coefficient of the sliding surface; R is other resistance (kN); W is the weight of the sliding surface (kN); g is the acceleration due to gravity (m / s 2 ).

[0019] The surge calculation module is used to obtain the volume, width, length, height, water level depth, water entry speed of the dangerous rock body and other information collected by the above modules, and use the formula method to calculate the surge waves generated by the dangerous rock body and the waves propagating along the way in real time; the surge calculation formula is: The maximum first wave height calculation formula is: The formula for calculating the wave height of surge propagation is: Wherein, Hmax is the maximum height of the surge (m); hc is the height of the center of mass of the sliding body from the water surface (m); h is the water depth (m); f is the friction coefficient between the sliding body and the sliding surface; α is the inclination angle of the sliding surface (°); w is the width of the sliding body (m); s is the thickness of the sliding body (m); ls is the length of the sliding body (m); γ is the angle between the sliding direction and the radial direction (°); Vs is the volume of the dangerous rock mass (m 3 ); ρ is the density of dangerous rock mass (kg / m 3 );ρw is the water density (kg / m 3 ). The dangerous rock collapse warning module is used to zoning the intensity level of landslide surges in various areas of the river channel based on the results obtained by the surge calculation module and according to the maximum surge amplitude of each area in the river channel; and according to the above-defined areas, early warning information is sent to residents and ships in the dangerous area in the three-dimensional river scene module to remind them to take emergency precautions.

[0020] Among them, when the surge amplitude / height is greater than 2.0m, it is an extremely high surge danger zone; when 1.5m is less than the surge amplitude / height ≤2.0m, it is a very high surge danger zone; when 1.0m is less than the surge amplitude / height ≤1.5m, it is a high surge danger zone; when 0.5m is less than the surge amplitude / height ≤1.0m, it is a medium surge danger zone; and when the surge amplitude / height ≤0.5m, it is a low surge danger zone.

[0021] A method for dynamic monitoring of dangerous rock masses on the reservoir bank and prediction of surges, such as Figures 1 to 5 As shown, taking the dangerous rock mass of Diaozui in the Three Gorges Reservoir area as an example, the implementation process of the present invention is specifically explained, and the implementation steps are as follows: The first step is to use the river channel topography lines along the Yangtze River to establish a three-dimensional terrain model around the Diaozui dangerous rock mass, collect real-time hydrological data of the Yangtze River and rainfall information in the study area, and by integrating the above information, a three-dimensional river scene model can be established.

[0022] The second step is to conduct on-site geological survey on the Diaozui dangerous rock mass in a specific case to obtain information such as the upper and lower boundaries of the dangerous rock mass, stratum lithology, stratum occurrence, internal structure of the rock mass, and fracture distribution information; by integrating the geological information of the Diaozui dangerous rock mass into the three-dimensional river scene model, a three-dimensional geological model of the Diaozui dangerous rock mass can be obtained.

[0023] In the third step, displacement meters are arranged at the cracks on the rear edge of the Diaozui dangerous rock mass to monitor the displacement changes of the dangerous rock mass, stress gauges are arranged at the base to monitor the pressure value of the base of the dangerous rock mass, and rain gauges are arranged on the side slopes to monitor the rainfall changes; in addition, the above-mentioned various monitoring data information are transmitted to the three-dimensional river scene model in real time, and a dangerous rock mass geological data monitoring module is established, in which the monitoring status of the Diaozui dangerous rock mass can be dynamically read; at the same time, the type of dangerous rock mass is determined according to the geological characteristics and morphological characteristics of the dangerous rock mass.

[0024] The fourth step is to monitor the Diaozui dangerous rock mass in real time by placing video monitoring equipment on the boundaries of both sides of the Diaozui dangerous rock mass and on the opposite bank slope; by utilizing the motion target monitoring algorithm, the dynamic changes of the dangerous rock mass can be captured in real time, the displaced rock mass can be identified, the position and volume of the dangerous rock mass can be determined, and the preliminary information can be updated and iterated to establish.

[0025] The fifth step is to set a threshold for the displacement value of the dangerous rock mass. When the displacement value monitored by the displacement meter in the dangerous rock mass geological data monitoring module or the displacement value of the dangerous rock mass captured in the dangerous rock mass video dynamic monitoring module exceeds the threshold, the stability calculation module is started.

[0026] The sixth step is to calculate the stability of the dangerous rock mass according to the information collected by each module and the type of dangerous rock mass using the limit equilibrium principle; when the stability coefficient of the dangerous rock mass is calculated to be FOS≤1, start the speed calculation module and the surge calculation module; further, according to the principle of conservation of energy, use the formula method to calculate the water entry speed of the dangerous rock mass; further, based on the above-mentioned conditions, use the formula method to calculate the surge disaster generated.

[0027] The seventh step is to import the calculation process into the three-dimensional river scene model according to the results calculated by the above formula method, and zoning the surge intensity levels in the Yangtze River channel according to the maximum amplitude and height of surges in each area of ​​the Yangtze River channel; among them, when the surge amplitude / height>2.0m, it is an extremely high surge danger zone; when 1.5m<surge amplitude / height≤2.0m, it is a very high surge danger zone; when 1.0m<surge amplitude / height≤1.5m, it is a high surge danger zone; when 0.5m<surge amplitude / height≤1.0m, it is a medium surge danger zone; when surge amplitude / height≤0.5m, it is a low surge danger zone; and send corresponding surge intensity level warning information to ships and personnel in the surge danger zone.

[0028] The contents described in the embodiments of this specification are merely an enumeration of the implementation forms of the inventive concept. The protection scope of the present invention should not be regarded as limited to the specific forms described in the embodiments. The protection scope of the present invention also extends to equivalent technical means that can be conceived by those skilled in the art based on the inventive concept.

Claims

1. A dynamic monitoring system for dangerous rock masses on reservoir banks and a surge prediction system, characterized in that: It includes 3D river scene module, 3D dangerous rock mass model module, geological data monitoring module, dynamic video monitoring module, digital twin simulation module and collapse warning module. The three-dimensional river scene module is used to use the three-dimensional terrain data along the river and integrate the engineering geological information of the bank slope along the river to establish a digital river scene model; The dangerous rock mass three-dimensional geological body model module is used to establish a dangerous rock mass three-dimensional geological body model by integrating the dangerous rock mass engineering geological information into the three-dimensional river scene model; The dangerous rock mass geological data monitoring module is used to dynamically monitor the real-time situation of the dangerous rock mass based on the data transmitted by the rain gauge, displacement meter and stress meter arranged on the dangerous rock mass; The dangerous rock mass video dynamic monitoring module is used to dynamically monitor the displacement changes of the dangerous rock mass in real time by arranging video monitoring instruments on the bank slopes on both sides of the dangerous rock mass and the bank slope on the opposite bank, extract the moving rock mass area, and predict the specific location and volume of the deformed dangerous rock mass; The dangerous rock mass digital twin simulation calculation module is used to realize dynamic update of dangerous rock mass data by integrating information of the three-dimensional river scene module, the three-dimensional geological body model module of the dangerous rock mass, the dangerous rock mass geological data monitoring module and the dangerous rock mass video dynamic monitoring module; The dangerous rock mass collapse warning module is used to dynamically display the unstable movement, surge generation and propagation process of the dangerous rock mass in the three-dimensional river scene module according to the calculation results of the dangerous rock mass digital twin simulation calculation module, and divide the surge risk area according to the size of the surge height, and send warning information to residential areas and ships in the surge risk area.

2. A reservoir bank dangerous rock mass dynamic monitoring and surge prediction system according to claim 1, characterized in that: The engineering geological information includes river water level change data, flow data, distribution data of residential areas along the river, and river navigation vessel information.

3. A reservoir bank dangerous rock mass dynamic monitoring and surge prediction system according to claim 1, characterized in that: The dangerous rock mass digital twin simulation calculation module includes a monitoring data threshold module, a stability calculation module, a speed calculation module and a surge calculation module; the monitoring data threshold module sets a threshold for the displacement value and stress value of the dangerous rock mass. When the threshold is reached, the stability calculation module, the speed calculation module and the surge calculation module are turned on to dynamically calculate the stability coefficient and water entry speed of the dangerous rock mass in real time, and calculate the water entry speed of the dangerous rock mass at that moment, and calculate the surge state at that moment.

4. A reservoir bank dangerous rock mass dynamic monitoring and surge prediction system according to claim 1, characterized in that: The dangerous rock mass three-dimensional geological body model module utilizes the engineering geological information of the dangerous rock mass, integrates it into the three-dimensional river scene model, and gives the stratum lithology, occurrence, and crack information of the corresponding slope to establish a three-dimensional geological body model of the dangerous rock mass.

5. A method for using the reservoir bank dangerous rock mass dynamic monitoring and surge prediction system according to any one of claims 1 to 4, characterized in that: The steps include: Step S1, collecting three-dimensional terrain data of the slopes on both sides of the river, water level, flow, distribution data of residential areas along the river, and information of ships sailing on the river, and establishing a three-dimensional river scene module; Step S2: Conduct a detailed engineering geological survey on the dangerous rock mass site to collect the boundary, stratum lithology distribution, internal structure and crack information of the dangerous rock mass, and assign them to the three-dimensional river scene module to obtain a three-dimensional geological model of the specific dangerous rock mass on the corresponding bank slope; Step S3, using the engineering geological information of the dangerous rock mass collected in step S2, determining the instability mode of the dangerous rock mass, and arranging a displacement monitor at the cracks of the dangerous rock mass to monitor the deformation of the trailing edge cracks, arranging a stress gauge at the base rock mass of the dangerous rock mass to monitor the change of stress in the vertical direction of the dangerous rock mass, and arranging a rain gauge on the slope to monitor the change of rainfall on the slope; Step S4: video monitoring equipment is arranged on both sides of the dangerous rock mass and on the opposite bank slope to obtain image data of the dangerous rock mass in real time, and based on the moving target monitoring algorithm, the displacement change of the dangerous rock mass is dynamically monitored in real time, the moving rock mass area is captured, and the specific position and volume of the dangerous rock mass that is deformed in real time are predicted; Step S5, setting a threshold value for the displacement value and stress value of the dangerous rock mass, judging whether to enter the stability calculation module by checking whether the displacement monitoring data and stress monitoring data obtained in step S3 or the displacement value of the moving rock mass captured in step S4 reaches the threshold value, and calculating the stability of the dangerous rock mass based on the limit equilibrium principle; Step S6, when the stability coefficient FOS of the dangerous rock mass is calculated in the stability calculation module and is ≤ 1, the speed calculation module and the surge calculation module are started to calculate the water entry speed of the dangerous rock mass based on the energy conservation principle, and the surge size is calculated based on the formula method; Step S7, using the surge calculation results obtained by the dangerous rock mass digital twin simulation calculation module in step S6, divide different surge danger zones based on the surge height in the river channel, and send the surge intensity information in the surge danger zone to residents and sailing ships in the affected area.

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