Power transmission line risk assessment method and system under debris flow disaster

Abstract

The invention discloses a power transmission line risk assessment method and system under debris flow disasters, and relates to the field of debris flow risk assessment, and the method comprises the steps: building a continuity equation and a motion equation based on a depth integral continuum model; importing topographic data into the system, and performing grid division to construct a numerical model; selecting a starting mode, and setting model parameters; carrying out numerical simulation on the debris flow movement process, and carrying out debris flow risk quantitative evaluation according to a simulation result. According to the invention, through dynamic simulation, the motion law and the influence range of the debris flow can be simulated more accurately, so that the evaluation accuracy of the debris flow danger is improved. Compared with qualitative and semi-quantitative methods depending on expert experience, the method is based on objective physical models and data analysis, and subjectivity in the evaluation process is reduced.

Description

Technical Field

[0001] The invention relates to the field of debris flow hazard assessment, in particular to a method and system for assessing the hazard of a power transmission line under debris flow disasters. Background Art

[0002] As a key component of my country's power system, the safe and stable operation of transmission lines is of great significance to ensuring social and economic development. However, as a sudden natural disaster, debris flow poses a serious threat to the safety of transmission lines. The impacts and hazards of debris flow on transmission lines mainly include: causing damage to the base of the transmission tower, or even collapse, resulting in line interruption; destroying the insulation performance of the transmission line, causing short circuit faults; damaging line equipment, increasing maintenance costs and power outage time; affecting the stability of the power grid, resulting in regional power shortages.

[0003] In view of the serious impact of debris flow on transmission lines, it is particularly important to conduct debris flow hazard analysis. By analyzing the hazard of debris flow, a scientific basis can be provided for the planning, design, operation and maintenance of transmission lines, thereby reducing the impact of debris flow disasters on transmission lines and ensuring the safe and stable operation of the power system.

[0004] At present, debris flow hazard assessment methods are mainly divided into three types: qualitative, semi-quantitative and quantitative.

[0005] Qualitative and semi-quantitative methods: These two methods are mostly used for regional debris flow hazard assessment, and are mainly based on expert experience, historical disaster data, etc. The disadvantage is that the subjective factors are strong, the evaluation results are less accurate, and it is difficult to meet the needs of refined assessment.

[0006] Quantitative method: Quantitative methods based on numerical simulation are mostly used for single-channel debris flow hazard assessment. Although the assessment accuracy has been improved to a certain extent, it still has the following disadvantages:

[0007] (1) Model parameters are difficult to obtain accurately, resulting in certain errors in simulation results; (2) The calculation process is complex and time-consuming, which is not conducive to rapid evaluation; (3) It is difficult to consider the combined effects of multiple factors, and the evaluation results have certain limitations; (4) The data requirements are high, and there is a problem of insufficient data in practical applications.

[0008] Aiming at the shortcomings of the existing debris flow hazard assessment method in the application of power transmission lines, the present invention proposes a method and system for assessing the hazard of power transmission lines under debris flow disasters. The present invention aims to improve the accuracy, real-time and practicality of debris flow hazard assessment and provide strong guarantee for the safe operation of power transmission lines. Summary of the invention

[0009] In view of the above-mentioned problems, the present invention is proposed.

[0010] Therefore, the problem to be solved by the present invention is that the existing qualitative and semi-quantitative methods have the disadvantages of strong subjective factors, low accuracy of evaluation results, and difficulty in meeting the needs of refined evaluation. The model parameters of the existing quantitative methods are difficult to obtain accurately, resulting in certain errors in the simulation results, high data requirements, and insufficient data in practical applications.

[0011] To solve the above technical problems, the present invention provides the following technical solutions: a method for assessing the hazard of power transmission lines under debris flow disasters, which includes constructing continuity equations and motion equations based on a deep-integrated continuous medium model; importing terrain data into the system and performing grid division to construct a numerical model; selecting a startup mode and setting model parameters; performing numerical simulation of the debris flow movement process and performing quantitative evaluation of the debris flow hazard based on the simulation results.

[0012] As a preferred solution of the method for evaluating the danger of a power transmission line under a debris flow disaster of the present invention, the continuity equation is expressed as follows:

[0013]

[0014] The equation of motion is expressed as,

[0015]

[0016] Where H represents the depth of debris flow, U x , U y It is represented by the components of debris flow velocity U in the x and y directions, Q(x, y, t) is represented by the total amount of initial material, c x 、c y Expressed as the terrain coefficient, k a / p Expressed as the earth pressure coefficient, It is expressed as partial derivatives on the scales t, x, and y, respectively. z Expressed as the gravity in the vertical direction, Expressed as the effective gravity in the x, y directions, Expressed as the frictional resistance in the x, y directions.

[0017] As a preferred solution of the method for evaluating the danger of power transmission lines under debris flow disasters described in the present invention, the friction resistance in the motion equation is controlled based on the friction coefficient μ and the turbulence coefficient ξ, and the formula is expressed as follows:

[0018]

[0019] N=ρ·Hgcos(φ)

[0020] Among them, ρ represents the fluid density, g represents the gravitational acceleration, φ represents the material inclination angle, and N represents the normal stress. After the yield stress is introduced, the friction resistance calculation formula after adjustment is expressed as:

[0021]

[0022] Where N0 represents the yield stress of the fluid material.

[0023] As a preferred solution of the method for assessing the hazard of power transmission lines under debris flow disasters described in the present invention, wherein: the importing of terrain data into the system includes arranging image control points and planning routes, using drones to collect image data along a preset route, importing the image data into modeling software for aerial triangulation, and obtaining terrain data and a three-dimensional surface model of the study area; the grid division to construct a numerical model includes converting the geographic coordinate system in the terrain data into a projection coordinate system, and reclassifying the grids into square grids, and importing the divided data into the system.

[0024] As a preferred solution of the method for assessing the hazard of transmission lines under debris flow disasters described in the present invention, the starting modes include hydraulic release and material source release. The hydraulic release mode is to gradually release debris flow materials over time at a specified location based on a debris flow flow time curve; the material source release mode is to release debris flow materials at a specified location at one time by defining the release area and average thickness.

[0025] As a preferred solution of the method for assessing the danger of power transmission lines under debris flow disasters described in the present invention, the setting of model parameters includes calculating the clear water peak flow and debris flow peak flow parameters in the basin based on historical rainfall data; using the inference formula method to calculate the clear water peak flow of each release point under different rainfall return periods, the formula is expressed as follows:

[0026]

[0027] m=0.467θ 0.168

[0028]

[0029] Among them, Q p It is expressed as the peak flow of clear water with frequency p, h τ It is represented by the maximum net rainfall corresponding to the τ period, τ is represented by the confluence time, F is represented by the basin area, L is represented by the maximum river length in the basin, m is represented by the confluence parameter, J is represented by the average gradient of the river channel, and θ is represented by the basin characteristic coefficient. The peak flow rate of debris flow and the total amount of one-time debris flow process under different rainfall return periods are calculated by the rain-flood method. The calculation formula of the peak flow rate of debris flow is expressed as,

[0030] Q c =(1+φ)Q p D c

[0031] φ=(γ c -γ w ) / (γ h -γ c )

[0032] Among them, Q c Expressed as the peak flow rate of debris flow at different frequencies, D c is represented by the blockage coefficient, φ is represented by the debris flow sediment correction coefficient, γ c Expressed as the bulk density of debris flow, γ w Expressed as clear water bulk density, γ h It is expressed as the bulk density of solid matter in debris flow; the calculation formula of the total amount of one-time debris flow process is expressed as,

[0033] Q=0.264TQ c

[0034] Q H =Q(γ c -γ w ) / (γ H -γ w )

[0035] Among them, Q represents the total amount of debris flow in one process, T represents the duration of debris flow, Q H Expressed as the amount of solid matter flushed out in a debris flow.

[0036] As a preferred solution of the method for evaluating the danger of power transmission lines under debris flow disasters of the present invention, the numerical simulation of the debris flow movement process includes inverting the debris flow disaster event by numerical simulation means, comparing the simulation results with the real data, and verifying the simulation accuracy A is expressed as,

[0037]

[0038] Among them, S0 represents the overlapping area of ​​the stacking range, S n Expressed as the numerical simulation accumulation area, S a It is expressed as the accumulation area of ​​field investigation; the quantitative evaluation of debris flow hazard includes obtaining the single debris flow intensity by using the motion parameters obtained in the numerical simulation, converting the rainfall probability into the debris flow recurrence period P, expressed as,

[0039]

[0040] Among them, T represents the probability of rainfall, and M represents the coefficient. After determining the intensity and recurrence period of debris flow, the matrix analysis method is used to carry out the hazard assessment of debris flow and divide the hazard level.

[0041] Another object of the present invention is to provide a transmission line hazard assessment system under debris flow disasters, which can evaluate the debris flow hazard through dynamic simulation.

[0042] In order to solve the above technical problems, the present invention provides the following technical solutions: a system for a method for evaluating the hazard of a power transmission line under a debris flow disaster, comprising: an equation construction module, a terrain data acquisition module, a presetting module and a simulation evaluation module; the equation construction module (100) constructs a continuous equation and a motion equation based on a deep-integrated continuous medium model; the terrain data acquisition module imports terrain data into the system and performs grid division to construct a numerical model; the presetting module selects a startup mode and sets model parameters; the simulation evaluation module performs a numerical simulation of the debris flow movement process and performs a quantitative evaluation of the debris flow hazard based on the simulation results.

[0043] A computer device comprises a memory and a processor, wherein the memory stores a computer program, and when the processor executes the computer program, the steps of the method for assessing the hazard of a power transmission line under a debris flow disaster as described above are implemented.

[0044] A computer-readable storage medium stores a computer program, which, when executed by a processor, implements the steps of the method for assessing the hazard of a power transmission line under a debris flow disaster as described above.

[0045] The beneficial effect of the present invention is that the present invention can more accurately simulate the movement law and impact range of debris flow through dynamic simulation, thereby improving the accuracy of evaluating the danger of debris flow.

[0046] Moreover, compared with qualitative and semi-quantitative methods that rely on expert experience, the present invention is based on objective physical models and data analysis, which reduces the subjectivity in the evaluation process.

[0047] The method and system of the present invention can quickly conduct debris flow hazard assessment, provide support for real-time monitoring and early warning of power transmission lines, and help to take timely response measures. BRIEF DESCRIPTION OF THE DRAWINGS

[0048] In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the following briefly introduces the drawings required for describing the embodiments. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without creative work. Among them:

[0049] Figure 1 This is a flow chart of the method for evaluating the hazard of a power transmission line under a debris flow disaster in Example 1.

[0050] Figure 2 This is a watershed model diagram of the method for assessing the hazard of a power transmission line under a debris flow disaster in Example 1.

[0051] Figure 3 This is a debris flow hazard classification standard diagram for the method for evaluating the hazard of a transmission line under a debris flow disaster in Example 1.

[0052] Figure 4 This is a module structure diagram of the transmission line hazard assessment system under debris flow disasters in Example 2. DETAILED DESCRIPTION

[0053] In order to make the above-mentioned objects, features and advantages of the present invention more obvious and easy to understand, the specific implementation methods of the present invention are described in detail below in conjunction with the accompanying drawings.

[0054] In the following description, many specific details are set forth to facilitate a full understanding of the present invention, but the present invention may also be implemented in other ways different from those described herein, and those skilled in the art may make similar generalizations without violating the connotation of the present invention. Therefore, the present invention is not limited to the specific embodiments disclosed below.

[0055] Example 1, reference Figure 1-Figure 3 , which is the first embodiment of the present invention, and provides a method for evaluating the danger of a transmission line under a debris flow disaster, including: Figure 1 As shown:

[0056] S1. Construct the continuity equation and motion equation based on the continuum model of deep integration.

[0057] From the perspective of describing the constituent materials and movement, the debris flow dynamics model can be divided into three categories: continuous medium model, discrete medium model and mixed medium model. For surface disasters such as debris flow and clastic flow that move over long distances, the continuous medium model based on depth integration can well simulate the movement characteristics of debris flow in which horizontal scale movement plays a dominant role, and the calculation cost is low. Therefore, the continuous medium model based on depth integration is widely used in the simulation of debris flow movement process and the study of hazard assessment. This embodiment uses RAMMS software. After verification by a large number of examples, the Voellmy-Slam rheological continuous medium model can better simulate the movement and accumulation process of debris flow, thereby obtaining dynamic parameters such as mud depth, flow velocity, and accumulation range. RAMMS controls the conservation of mass and momentum balance in the movement process of debris flow through the continuity equation and the motion equation respectively.

[0058] The continuity equation is expressed as,

[0059]

[0060] The equation of motion is expressed as,

[0061]

[0062] Where H represents the depth of debris flow, U x , U y It is represented by the components of debris flow velocity U in the x and y directions, Q(x, y, t) is represented by the total amount of initial material, c x 、c y Expressed as the terrain coefficient, k a / p Expressed as the earth pressure coefficient, It is expressed as partial derivatives on the scales t, x, and y, respectively. z Expressed as the gravity in the vertical direction, Expressed as the effective gravity in the x, y directions, Expressed as the frictional resistance in the x, y directions.

[0063] In the Voellmy-Slam model, the friction resistance is mainly controlled by the friction coefficient μ and the turbulence coefficient ξ. The former plays a major role when the flow velocity is low and controls the static friction resistance together with the normal stress N. The latter plays a major role when the flow velocity is high and controls the square of the debris flow velocity U. 2 Together they control the motion resistance. The friction resistance calculation formula is:

[0064]

[0065] N=ρ·Hgcos(φ)

[0066] Among them, ρ represents the fluid density, g represents the gravitational acceleration, φ represents the material inclination angle, and N represents the normal stress.

[0067] For debris flow materials, the normal stress and shear stress are not in a simple linear relationship, so RAMMS introduces the yield stress into the Voellmy-Slam formula. The adjusted friction resistance calculation formula is:

[0068]

[0069] Where N0 represents the yield stress of the fluid material.

[0070] S2. Import terrain data into the system and perform grid division to build a numerical model.

[0071] The construction of the numerical model mainly includes two parts: terrain data import and grid division. Among them, terrain data is the most important input data for debris flow simulation and provides a place for the migration of debris flow. For debris flows in very small watersheds such as Wushankeng, high-resolution terrain data can accurately restore the surface undulations. At present, UAV three-dimensional oblique photography is a common means to obtain terrain data of small watersheds in mountainous areas. First, the arrangement of image control points and route planning are carried out, and then the UAV collects image data according to the preset route. Then the photos are imported into ContextCapture, PIX4D and other software for aerial triangulation, and finally the terrain data and surface three-dimensional model of the study area are obtained. The digital elevation model (DEM) obtained by the drone this time is the 2000 national geodetic coordinate system and cannot be directly imported into the software. Therefore, the DEM data of the geographic coordinate system is converted to the projection coordinate system in ArcGIS, and the DEM data is rasterized and divided into square grids. Finally, the DEM data is converted into ASCII data or GEOTIFF data with elevation information and imported into RAMMS software. RAMMS supports dividing terrain into square grids of any size. The division of the grid is closely related to the accuracy and computational efficiency of the simulation. If the grid is too small, the resulting large volume of terrain data will cause the computer to crash, greatly reducing the computational efficiency. If the grid is too large, it will be difficult to meet the accuracy requirements of the simulation. In order to balance the requirements of efficiency and computational accuracy, after repeated debugging, the grid size of the Wushankeng watershed was selected as 2m. To further improve the computational efficiency, the boundaries of the watershed are outlined in the software to delimit the computational domain and reduce the amount of computation, such as Figure 2 shown.

[0072] S3. Select the startup method and set the model parameters.

[0073] There are two starting modes: hydraulic release and material release. The hydraulic release mode is to gradually release debris flow materials over time at a specified location based on the debris flow flow time curve, and is mostly used for hydraulic debris flows; the material release mode is to release debris flow materials at one time at a specified location by defining the release area and average thickness, and is mostly suitable for geotechnical debris flows.

[0074] The simulation parameters in RAMMS software mainly consist of friction parameters and basic debris flow parameters required for simulation. The friction parameters have been mentioned above.

[0075] The basic parameters required for debris flow simulation mainly include bulk density, simulation duration, time step, debris flow peak flow, total amount of one-time debris flow process, etc. Numerical simulation and hazard assessment of debris flows should not only consider the disaster intensity, but also the recurrence period of debris flows. The debris flow studied in this embodiment is a low-frequency debris flow, so this simulation designs three calculation conditions: once in 20 years, once in 50 years, and once in 100 years. With reference to historical data, the rainfall intensity of each time period in the study area under different rainfall recurrence periods is designed. Based on the results of rainfall design, the calculation of parameters such as the clear water peak flow and debris flow peak flow in the basin is carried out. First, the inference formula method is used to calculate the clear water peak flow of each release point under different rainfall recurrence periods. The formula is expressed as,

[0076]

[0077] m=0.467θ 0.168

[0078]

[0079] Among them, Q p It is expressed as the peak flow of clear water with frequency p, h τ It is expressed as the maximum net rainfall corresponding to the period of τ, τ is represented by the confluence time, F is represented by the basin area, L is represented by the maximum river length in the basin, m is represented by the confluence parameter, J is represented by the average gradient of the river channel, and θ is represented by the basin characteristic coefficient.

[0080] Then, the rainfall flood method is used to calculate the peak flow rate of debris flow and the total amount of one-time debris flow process under different rainfall return periods. The calculation formula of the peak flow rate of debris flow is expressed as:

[0081] Q c =(1+φ)Q p D c

[0082] φ=(γ c -γ w ) / (γ h -γ c )

[0083] Among them, Q c Expressed as the peak flow rate of debris flow at different frequencies, D c is represented by the blockage coefficient, φ is represented by the debris flow sediment correction coefficient, γ c Expressed as the bulk density of debris flow, γ w Expressed as clear water bulk density, γ h Expressed as the bulk density of solid matter in debris flow.

[0084] The calculation formula of the total amount of one-time debris flow process is expressed as:

[0085] Q=0.264TQ c

[0086] Q H =Q(γ c -γ w ) / (γ H -γ w )

[0087] Among them, Q represents the total amount of debris flow in one process, T represents the duration of debris flow, Q H Expressed as the amount of solid matter flushed out in a debris flow.

[0088] S4. Conduct numerical simulation of debris flow movement process and make quantitative assessment of debris flow hazard based on simulation results.

[0089] The Wushankeng debris flow disaster event was inverted by numerical simulation, and the simulation results were compared with the actual situation to verify the simulation accuracy. On the basis of obtaining the correct friction parameters, the simulation related settings and parameter input were completed to simulate and predict the movement process of the Wushankeng debris flow under different rainfall return periods, and obtain the maximum flow velocity, maximum mud depth and other movement parameters of the debris flow.

[0090] Verify that the simulation accuracy A is expressed as,

[0091]

[0092] Among them, S0 represents the overlapping area of ​​the stacking range, S n Expressed as the numerical simulation accumulation area, S a It is expressed as the accumulation area of ​​field survey. The accuracy A ranges from 0 to 1. The closer the value is to 1, the higher the simulation accuracy.

[0093] As explained above, the danger of debris flow includes two parts: intensity and time probability. The intensity refers to the ability of debris flow to cause damage to the environment, and the time probability refers to the recurrence period of debris flow, that is, the probability of outbreak. For the evaluation of the destructive capacity of debris flow, the maximum flow velocity, maximum mud depth and other dynamic parameters obtained in numerical simulation are often used to measure the siltation and impact destructive capacity of debris flow in the accumulation area.

[0094] The danger of debris flow is not only related to the intensity of a single debris flow, but also to the recurrence period of the debris flow. The two intensity factors, maximum mud depth and maximum impact momentum, are greatly affected by the recurrence period. In this embodiment, the rainfall probability is converted into the debris flow recurrence period P, which is expressed as:

[0095]

[0096] Among them, T represents the probability of rainfall, M represents the coefficient, and the value of this time is 1.

[0097] After determining the intensity and recurrence period of debris flow, the matrix analysis method is used to carry out debris flow hazard assessment and classify the hazard levels.

[0098] In this embodiment, the risk level is divided into three levels: high, medium and low. The specific risk classification standards are as follows: Figure 3 The specific meanings of different risk levels are as follows: various structures in high-risk areas are vulnerable to damage from debris flows, and residents should evacuate in time during heavy rainfall, and take engineering prevention measures when necessary; various buildings in medium-risk areas are vulnerable to damage but will not be destroyed, and protective measures should be taken for residential houses; various buildings in low-risk areas may be slightly damaged, but it is unlikely to pose a risk to residents.

[0099] Example 2, reference Figure 4 , which is the second embodiment of the present invention, and is different from the first embodiment in that: a system for a method for evaluating the hazard of a power transmission line under a debris flow disaster comprises an equation building module 100, a terrain data acquisition module 200, a preset module 300 and a simulation evaluation module 400; the equation building module 100 builds a continuous equation and a motion equation based on a deep-integrated continuous medium model; the terrain data acquisition module 200 imports terrain data into the system and performs grid division to construct a numerical model; the preset module 300 selects a startup mode and sets model parameters; the simulation evaluation module 400 performs a numerical simulation of the debris flow movement process, and performs a quantitative evaluation of the debris flow hazard based on the simulation results.

[0100] If the functions are implemented in the form of software functional units and sold or used as independent products, they can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the present invention, or the part that contributes to the prior art or the part of the technical solution, can be embodied in the form of a software product. The computer software product is stored in a storage medium, including several instructions for a computer device (which can be a personal computer, a server, or a network device, etc.) to perform all or part of the steps of the methods described in each embodiment of the present invention. The aforementioned storage medium includes: U disk, mobile hard disk, read-only memory (ROM, Read-Only Memory), random access memory (RAM, Random Access Memory), disk or optical disk, etc., which can store program codes.

[0101] The logic and / or steps represented in the flowchart or otherwise described herein, for example, can be considered as an ordered list of executable instructions for implementing logical functions, and can be embodied in any computer-readable medium for use by an instruction execution system, device or apparatus (such as a computer-based system, a system including a processor, or other system that can fetch instructions from an instruction execution system, device or apparatus and execute instructions), or in conjunction with such instruction execution systems, devices or apparatuses. For the purposes of this specification, "computer-readable medium" can be any device that can contain, store, communicate, propagate or transmit a program for use by an instruction execution system, device or apparatus, or in conjunction with such instruction execution systems, devices or apparatuses.

[0102] More specific examples of computer-readable media (a non-exhaustive list) include the following: an electrical connection with one or more wires (electronic device), a portable computer disk case (magnetic device), a random access memory (RAM), a read-only memory (ROM), an erasable and programmable read-only memory (EPROM or flash memory), an optical fiber device, and a portable compact disk read-only memory (CDROM). In addition, the computer-readable medium may even be a paper or other suitable medium on which the program is printed, since the program may be obtained electronically, for example, by optically scanning the paper or other medium, followed by editing, deciphering or, if necessary, processing in another suitable manner, and then stored in a computer memory.

[0103] It should be understood that the various parts of the present invention can be implemented by hardware, software, firmware or a combination thereof. In the above-mentioned embodiments, a plurality of steps or methods can be implemented by software or firmware stored in a memory and executed by a suitable instruction execution system. For example, if implemented by hardware, as in another embodiment, it can be implemented by any one of the following technologies known in the art or their combination: a discrete logic circuit having a logic gate circuit for implementing a logic function for a data signal, a dedicated integrated circuit having a suitable combination of logic gate circuits, a programmable gate array (PGA), a field programmable gate array (FPGA), etc.

[0104] It should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention rather than to limit it. Although the present invention has been described in detail with reference to the preferred embodiments, those skilled in the art should understand that the technical solutions of the present invention may be modified or replaced by equivalents without departing from the spirit and scope of the technical solutions of the present invention, which should all be included in the scope of the claims of the present invention.

Claims

1. A method for assessing the risk of transmission lines under debris flow disasters, characterized by: include, Construct continuity equations and equations of motion based on the deep-integrated continuum model; Import terrain data into the system and perform meshing to build a numerical model; Select the startup mode and set the model parameters; Conduct numerical simulation of debris flow movement process and make quantitative assessment of debris flow hazard based on simulation results.

2. The method for evaluating the risk of a power transmission line under a debris flow disaster according to claim 1, characterized in that: The continuity equation is expressed as, The equation of motion is expressed as, Where H represents the depth of debris flow, U x , U y It is represented by the components of debris flow velocity U in the x and y directions, Q(x,y,t) is represented by the total amount of initial material, c x 、c y Expressed as the terrain coefficient, k a / p Expressed as the earth pressure coefficient, It is expressed as partial derivatives on the scales t, x, and y, respectively. z Expressed as the gravity in the vertical direction, Expressed as the effective gravity in the x, y directions, Expressed as the frictional resistance in the x, y directions.

3. The method for evaluating the risk of a power transmission line under a debris flow disaster as claimed in claim 2, characterized in that: The friction resistance in the motion equation is controlled based on the friction coefficient μ and the turbulence coefficient ξ, and the formula is expressed as: N=ρ·Hgcos(φ) Among them, ρ represents the fluid density, g represents the gravitational acceleration, φ represents the material inclination angle, and N represents the normal stress; Introducing the yield stress, the adjusted friction resistance calculation formula is expressed as: Where N0 represents the yield stress of the fluid material.

4. The method for evaluating the risk of a power transmission line under a debris flow disaster as claimed in claim 3, characterized in that: Importing terrain data into the system includes arranging image control points and planning routes, using drones to collect image data along a preset route, importing the image data into modeling software for aerial triangulation, and obtaining terrain data and a three-dimensional surface model of the study area; The grid division to construct the numerical model includes converting the geographic coordinate system in the terrain data into a projection coordinate system, reclassifying the grids into square grids, and importing the divided data into the system.

5. The method for evaluating the risk of a power transmission line under a debris flow disaster as claimed in claim 4, characterized in that: The starting modes include hydraulic release and material source release. The hydraulic release mode is to gradually release debris flow materials over time at a designated location based on a debris flow flow time curve. The source release method is to release debris flow materials at one time at a designated location by defining the area and average thickness of the release region.

6. The method for evaluating the risk of a power transmission line under a debris flow disaster according to claim 5, characterized in that: The setting of model parameters includes calculating clear water peak flow and debris flow peak flow parameters in the basin based on historical rainfall data; The inference formula method is used to calculate the clear water peak flow rate of each release point under different rainfall return periods. The formula is expressed as: m=0.467θ 0.168 Among them, Q p It is expressed as the peak flow of clear water with frequency p, h τ It is represented by the maximum net rainfall corresponding to the period τ, τ is represented by the confluence time, F is represented by the basin area, L is represented by the maximum river length in the basin, m is represented by the confluence parameter, J is represented by the average gradient of the river channel, and θ is represented by the basin characteristic coefficient; The rainfall flood method is used to calculate the peak flow rate of debris flow and the total amount of one-time debris flow process under different rainfall return periods. The calculation formula of the peak flow rate of debris flow is expressed as: Q c =(1+φ)Q p D c φ=(γ c -c w ) / (c h -c c ) Among them, Q c Expressed as the peak flow rate of debris flow at different frequencies, D c is represented by the blockage coefficient, φ is represented by the debris flow sediment correction coefficient, γ c Expressed as the bulk density of debris flow, γ w Expressed as clear water bulk density, γ h It is expressed as the bulk density of solid matter in debris flow; The calculation formula of the total amount of one-time debris flow process is expressed as: Q=0.264TQ c Q H =Q(γ c -c w ) / (c H -c w ) Among them, Q represents the total amount of debris flow in one process, T represents the duration of debris flow, Q H Expressed as the amount of solid matter flushed out in a debris flow.

7. The method for evaluating the risk of a power transmission line under a debris flow disaster according to claim 6, characterized in that: The numerical simulation of the debris flow movement process includes inverting the debris flow disaster event by numerical simulation means, comparing the simulation results with real data, and verifying the simulation accuracy A, which is expressed as: Among them, S0 represents the overlapping area of ​​the stacking range, S n Expressed as the numerical simulation accumulation area, S a It is expressed as the accumulation area of ​​field investigation; The quantitative evaluation of debris flow hazard includes obtaining the single debris flow intensity using the motion parameters obtained in the numerical simulation, converting the rainfall probability into a debris flow recurrence period P and expressing it as: Among them, T represents the probability of rainfall, and N represents the coefficient; After determining the intensity and recurrence period of debris flow, the matrix analysis method is used to carry out debris flow hazard assessment and classify the hazard levels.

8. A system using the method for assessing the danger of a power transmission line under a debris flow disaster as claimed in any one of claims 1 to 7, characterized in that: It includes an equation building module (100), a terrain data acquisition module (200), a presetting module (300) and a simulation evaluation module (400); The equation building module (100) builds continuity equations and motion equations based on a deep-integrated continuum model; The terrain data acquisition module (200) imports terrain data into the system and performs grid division to construct a numerical model; The presetting module (300) selects a startup mode and sets model parameters; The simulation evaluation module (400) performs numerical simulation of the debris flow movement process, and performs quantitative evaluation of the debris flow hazard based on the simulation results.

9. A computer device comprising a memory and a processor, wherein the memory stores a computer program, wherein: When the processor executes the computer program, the steps of the method for evaluating the hazard of a power transmission line under a debris flow disaster according to any one of claims 1 to 7 are implemented.

10. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by a processor, the steps of the method for evaluating the hazard of a power transmission line under a debris flow disaster according to any one of claims 1 to 7 are implemented.

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