Power transmission line corridor geological disaster risk assessment method and system

Abstract

The invention belongs to the technical field of geological disaster early warning, and particularly discloses a power transmission line corridor geological disaster risk assessment method and system, and the method comprises the steps: integrating the real-time geological monitoring data and meteorological environment data of a power transmission line corridor target region, constructing a dynamic risk quantitative calculation model, and carrying out the calculation of a dynamic risk assessment index, and finally, graded early warning prompt is performed based on the dynamic risk assessment index, so that dynamic and graded assessment of the geological disaster risk of the power transmission line corridor can be realized. The method is dynamic and prospective, so that the risk assessment can accurately reflect the dynamic evolution process of geological disasters; the geological disaster risk judgment result is more objective and accurate, and subjective experience errors are reduced; the method can adapt to risk assessment of geological disasters of different types of power transmission line corridors, and is high in universality; and the intelligent level of safe operation and maintenance of the power transmission line corridor can be greatly improved.

Description

Technical Field

[0001] This invention belongs to the field of geological disaster early warning technology, specifically relating to a method and system for assessing geological disaster risks along power transmission line corridors. Background Technology

[0002] Transmission line corridors typically traverse complex geographical environments, making them vulnerable to geological hazards such as landslides, debris flows, and collapses. Traditional methods for assessing geological hazard risks in transmission line corridors are largely based on historical geological data and static field surveys, which suffer from problems such as outdated data, inability to reflect dynamic triggers like short-term heavy rainfall, and insufficient precision in risk quantification. While some existing monitoring systems can collect and analyze partial geological and environmental data, they often lack effective data fusion mechanisms and dynamic risk assessment models, resulting in limited timeliness and accuracy of early warnings. Therefore, there is an urgent need for a method that can integrate real-time, multi-dimensional monitoring data and perform dynamic, quantitative risk assessments to achieve more accurate and forward-looking monitoring of geological hazard risks in transmission line corridors. Summary of the Invention

[0003] The purpose of this invention is to provide a method and system for assessing geological disaster risks along power transmission line corridors, in order to solve the aforementioned problems existing in the prior art.

[0004] To achieve the above objectives, the present invention adopts the following technical solution: Firstly, a method for assessing geological hazard risks along power transmission line corridors is provided, including: Real-time collection of geological monitoring data and meteorological environmental data of the target area of ​​the transmission line corridor, and retrieval of topographic and geographical data of the target area of ​​the transmission line corridor; Surface displacement rate and soil moisture content are extracted from geological monitoring data; cumulative rainfall and effective rainfall are extracted from meteorological and environmental data; and slope parameters, aspect parameters, vegetation cover and distance from river channels are extracted from topographic and geographical data. Slope factor is determined based on slope parameters, aspect factor is determined based on aspect parameters, vegetation coverage factor is determined based on vegetation coverage, and distance from river channel factor is determined based on distance from river channel. The geological stability index was calculated using surface displacement rate and soil moisture content; the rainfall assessment index was determined using cumulative rainfall; and the topographic index was determined using slope factor, aspect factor, vegetation cover factor, and distance from river channel factor. The dynamic risk assessment index is calculated using the geological stability index, rainfall assessment index, effective rainfall, and topographic index. The geological disaster risk level of the target area of ​​the transmission line corridor is determined based on the dynamic risk assessment index. Based on the geological hazard risk level of the target area along the power transmission line corridor, corresponding geological hazard early warning information is output.

[0005] In one possible design, the determination of slope factor based on slope parameters, slope aspect factor based on aspect parameters, vegetation coverage factor based on vegetation coverage, and distance from river channel factor based on distance from river channel include: The slope parameters are substituted into a pre-set slope factor calculation model to obtain the slope factor. The slope factor calculation model is as follows:

[0006] Among them, S norm S is the slope factor, and S is the slope parameter; The slope aspect parameters are substituted into a preset slope aspect factor reference table for matching to obtain the corresponding slope aspect factor. The slope aspect factor has a value range of [0, 1]. The slope aspect factor reference table contains several slope aspect parameter intervals and the slope aspect factor corresponding to each slope aspect parameter interval. The vegetation coverage is normalized based on the set vegetation coverage threshold range to obtain the vegetation coverage factor. The distance from the river channel is substituted into a preset formula for the distance factor from the river channel to obtain the distance factor from the river channel. The formula for the distance factor from the river channel is as follows:

[0007] Among them, D norm d is the distance factor from the river channel, k is the distance from the river channel, and k is the set attenuation coefficient.

[0008] In one possible design, the calculation of the geological stability index using surface displacement rate and soil moisture content includes: The surface displacement rate and soil moisture content are substituted into a pre-set geological stability index formula to calculate the geological stability index, which is:

[0009] Where G is the geological stability index, Vd is the surface displacement rate, Vmax is the set maximum surface displacement rate, Ws is the soil moisture content, and Wmax is the set maximum soil moisture content.

[0010] In one possible design, determining the rainfall assessment index using cumulative rainfall includes: The cumulative rainfall is normalized based on the set cumulative rainfall threshold range to obtain the rainfall assessment index.

[0011] In one possible design, the determination of topographical indices using slope factor, aspect factor, vegetation cover factor, and distance from river channel factor includes: The slope factor, aspect factor, vegetation cover factor, and distance from the river channel factor are substituted into a preset weighted summation formula to calculate the topographic geographic index. The weighted summation formula is as follows: T=w1×S norm +w2×A norm +w3×(1-V norm )+w4×D norm Where T is the topographic index, S norm A is the slope factor. norm V is the aspect factor. norm D is the vegetation cover factor. norm For distance from the river channel, w1, w2, w3, and w4 are the weight coefficients of the slope factor, aspect factor, vegetation coverage factor, and distance from the river channel factor, respectively, and w1+w2+w3+w4=1.

[0012] In one possible design, the calculation of the dynamic risk assessment index using the geological stability index, rainfall assessment index, effective rainfall, and topographic index includes: The geological stability index, rainfall assessment index, effective rainfall, and topographic index are substituted into a pre-set dynamic risk assessment index calculation model to obtain the dynamic risk assessment index. The dynamic risk assessment index calculation model is as follows:

[0013] Wherein, DRI is the dynamic risk assessment index, G is the geological stability index, R is the rainfall assessment index, P is the effective rainfall, T is the topographic index, α and β are the first and second global weight coefficients respectively, and α+β=1, δ and γ are the first and second dynamic weight coefficients respectively, and δ+γ=1.

[0014] In one possible design, determining the geological hazard risk level of the target area of ​​the transmission line corridor based on a dynamic risk assessment index includes: The dynamic risk assessment index is substituted into the set geological disaster risk level classification rules for matching to determine the geological disaster risk level of the target area of ​​the transmission line corridor. The geological disaster risk level classification rules include low risk level, medium risk level, high risk level and extremely high risk level, as well as the dynamic risk assessment index ranges corresponding to low risk level, medium risk level, high risk level and extremely high risk level respectively.

[0015] In one possible design, the method further includes: Geological monitoring data, meteorological and environmental data, topographic and geographical data, dynamic risk assessment index, geological disaster risk level, and geological disaster early warning information are linked and archived.

[0016] Secondly, a geological hazard risk assessment system for power transmission line corridors is provided, comprising a data acquisition unit, a data extraction unit, a factor determination unit, an index determination unit, an assessment calculation unit, a risk determination unit, and a risk alert unit, wherein: The data acquisition unit is used to collect geological monitoring data and meteorological environmental data of the target area of ​​the transmission line corridor in real time, and to retrieve the topographic and geographical data of the target area of ​​the transmission line corridor. The data extraction unit is used to extract surface displacement rate and soil moisture content from geological monitoring data, cumulative rainfall and effective rainfall from meteorological and environmental data, and slope parameters, aspect parameters, vegetation coverage and distance from river channel from topographic and geographical data. The factor determination unit is used to determine the slope factor based on the slope parameter, the slope aspect factor based on the aspect parameter, the vegetation coverage factor based on the vegetation coverage, and the distance from the river channel factor based on the distance from the river channel. The index determination unit is used to calculate the geological stability index using surface displacement rate and soil moisture content, determine the rainfall assessment index using cumulative rainfall, and determine the topographic index using slope factor, aspect factor, vegetation cover factor, and distance from river channel factor. The assessment calculation unit is used to calculate the dynamic risk assessment index using the geological stability index, rainfall assessment index, effective rainfall, and topographic index. The risk assessment unit is used to determine the geological disaster risk level of the target area of ​​the transmission line corridor based on the dynamic risk assessment index. The risk warning unit is used to output corresponding geological disaster early warning information based on the geological disaster risk level of the target area of ​​the transmission line corridor.

[0017] Thirdly, a geological hazard risk assessment system for power transmission line corridors is provided, including: Memory, used to store instructions; The processor is configured to read instructions stored in the memory and execute any one of the above-described methods for assessing geological hazards along transmission line corridors according to the instructions.

[0018] Fourthly, a computer-readable storage medium is provided, on which instructions are stored, which, when executed on a computer, cause the computer to perform any one of the geological hazard risk assessment methods for transmission line corridors described in the first aspect. Simultaneously, a computer program product is also provided, which, when executed on a computer, performs any one of the geological hazard risk assessment methods for transmission line corridors described in the first aspect.

[0019] Beneficial Effects: This invention integrates real-time geological monitoring data and meteorological environmental data of the target area of ​​the transmission line corridor, constructs a dynamic risk quantification calculation model to calculate the dynamic risk assessment index, and finally provides graded early warning prompts based on the dynamic risk assessment index. This enables dynamic and graded assessment of geological disaster risks in transmission line corridors. This invention is dynamic and forward-looking, enabling risk assessment to accurately reflect the dynamic evolution of geological disasters; it makes the geological disaster risk determination results more objective and accurate, reducing subjective experience errors; it is adaptable to risk assessment of different types of geological disasters in transmission line corridors, exhibiting strong universality; and it can greatly improve the intelligent level of safe operation and maintenance of transmission line corridors. Attached Figure Description

[0020] To more clearly illustrate the technical solutions in the embodiments of the present invention or the prior art, the drawings used in the description of the embodiments or the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0021] Figure 1 This is a flowchart illustrating the method in Embodiment 1 of the present invention; Figure 2 This is a schematic diagram of the system configuration in Embodiment 2 of the present invention; Figure 3 This is a schematic diagram of the system configuration in Embodiment 3 of the present invention. Detailed Implementation

[0022] It should be noted that the descriptions of these embodiments are intended to aid in understanding the invention and do not constitute a limitation thereof. The specific structural and functional details disclosed herein are merely for describing exemplary embodiments of the invention. However, the invention may be embodied in many alternative forms and should not be construed as being limited to the embodiments described herein.

[0023] It should be understood that, unless otherwise explicitly specified and limited, the corresponding terms should be interpreted broadly. For example, "connection" can be a fixed connection, a detachable connection, or an integral connection; it can be a direct connection or an indirect connection through an intermediate medium; it can be a connection within two components. Those skilled in the art can understand the specific meaning of the above terms in the embodiments according to the specific circumstances.

[0024] Specific details are provided in the following description to provide a complete understanding of the exemplary embodiments. However, those skilled in the art will understand that the exemplary embodiments can be implemented without these specific details. For example, apparatus may be shown in block diagrams to avoid obscuring the examples with unnecessary details. In other embodiments, well-known processes, structures, and techniques may be omitted with non-essential details to avoid obscuring the embodiments.

[0025] Example 1: This embodiment provides a method for assessing geological disaster risks along power transmission line corridors, which can be applied to corresponding power facility geological disaster monitoring and early warning servers, such as... Figure 1 As shown, the method includes the following steps: S1. Real-time collection of geological monitoring data and meteorological environmental data of the target area of ​​the transmission line corridor, and retrieval of topographic and geographical data of the target area of ​​the transmission line corridor.

[0026] In practice, the server first performs multi-source data collection, including real-time collection of geological monitoring data and meteorological environmental data of the target area of ​​the transmission line corridor. The geological monitoring data may include parameters such as surface displacement rate, soil moisture content, deep displacement, and groundwater level, while the meteorological environmental data may include parameters such as cumulative rainfall, effective rainfall, temperature, wind speed, and wind direction. The server also retrieves the inherent topographic and geographical data of the target area of ​​the transmission line corridor from the database. The topographic and geographical data may include parameters such as slope, aspect, vegetation coverage, and distance from the river.

[0027] S2. Extract surface displacement rate and soil moisture content from geological monitoring data, extract cumulative rainfall and effective rainfall from meteorological environmental data, and extract slope parameters, aspect parameters, vegetation coverage and distance from river channel from topographic and geographical data.

[0028] In practice, the server can extract surface displacement rate and soil moisture content from geological monitoring data. The surface displacement rate can be obtained by dividing the surface displacement amount over a fixed period by the duration of the fixed period. It can also extract cumulative rainfall and effective rainfall from meteorological environmental data. Cumulative rainfall is the total rainfall in the target area within a set period (e.g., 24 hours) before the current time point (unit: mm), and effective rainfall is the rainfall infiltrated into the soil in the target area within a set period (e.g., 24 hours) before the current time point (unit: mm). Furthermore, it can extract slope parameters, aspect parameters, vegetation cover, and distance from the river channel from topographic data.

[0029] S3. Determine the slope factor based on slope parameters, the slope aspect factor based on aspect parameters, the vegetation coverage factor based on vegetation coverage, and the distance factor from the river channel based on the distance from the river channel.

[0030] In practice, the server substitutes the slope parameters into a preset slope factor calculation model to obtain the slope factor. The slope factor calculation model is as follows:

[0031] Among them, S norm S is the slope factor, S is the slope parameter, and 45 and 10 are the set upper and lower slope thresholds. The upper and lower slope thresholds can also be adjusted according to the actual situation. The slope aspect parameters (0°-360°) are substituted into a preset slope aspect factor reference table for matching to obtain the corresponding slope aspect factors. The slope aspect factor values ​​range from [0, 1]. The slope aspect factor reference table contains several slope aspect parameter intervals and the slope aspect factors corresponding to each interval. For example, for a target area of ​​a transmission line corridor, the south slope (slope aspect parameters 135°-225°) is defined as the most sensitive, and its slope aspect factor A... norm =1; the north slope (aspect parameter 315°-45°) is the most stable, and its aspect factor A is 1. norm =0; the east and west slopes are between the two mentioned above, and the slope factor of the corresponding slope parameter range can be set between 0 and 1 through linear interpolation. The vegetation coverage is normalized based on the set vegetation coverage threshold range (including the maximum and minimum values ​​of vegetation coverage) to obtain the vegetation coverage factor. The distance from the river channel is substituted into a preset formula for the distance factor from the river channel to obtain the distance factor from the river channel. The formula for the distance factor from the river channel is as follows:

[0032] Among them, D normd is the distance from the river channel, and k is the set attenuation coefficient (e.g., k=0.001 indicates that the effect is significant within about 1000 meters, which can be set according to the actual distance from the river channel).

[0033] S4. Calculate the geological stability index using surface displacement rate and soil moisture content, determine the rainfall assessment index using cumulative rainfall, and determine the topographic index using slope factor, aspect factor, vegetation cover factor, and distance from river channel factor.

[0034] In practice, the server can substitute the surface displacement rate and soil moisture content into a preset geological stability index formula to calculate the geological stability index. The geological stability index formula is as follows:

[0035] Where G is the geological stability index, Vd is the surface displacement rate, Vmax is the set maximum surface displacement rate, Ws is the soil moisture content, and Wmax is the set maximum soil moisture content.

[0036] The cumulative rainfall can be normalized based on a set cumulative rainfall threshold range (including the maximum and minimum cumulative rainfall thresholds) to obtain a rainfall assessment index.

[0037] The slope factor, aspect factor, vegetation cover factor, and distance from the river channel factor can be substituted into a preset weighted summation formula to calculate the topographic geographic index. The weighted summation formula is as follows: T=w1×S norm +w2×A norm +w3×(1-V norm )+w4×D norm Where T is the topographic index, S norm A is the slope factor. norm V is the aspect factor. norm D is the vegetation cover factor. norm For distance from the river channel, w1, w2, w3, and w4 are the weight coefficients of the slope factor, aspect factor, vegetation coverage factor, and distance from the river channel factor, respectively, and w1+w2+w3+w4=1.

[0038] S5. Calculate the dynamic risk assessment index using the geological stability index, rainfall assessment index, effective rainfall, and topographic index.

[0039] In practice, the server can substitute the geological stability index, rainfall assessment index, effective rainfall, and topographic index into a pre-set dynamic risk assessment index calculation model to obtain the dynamic risk assessment index. The dynamic risk assessment index calculation model is as follows:

[0040] Wherein, DRI is the dynamic risk assessment index, G is the geological stability index, R is the rainfall assessment index, P is the effective rainfall, T is the topographic index, α and β are the first and second global weight coefficients respectively, and α+β=1, δ and γ are the first and second dynamic weight coefficients respectively, and δ+γ=1.

[0041] S6. Determine the geological disaster risk level of the target area of ​​the transmission line corridor based on the dynamic risk assessment index.

[0042] In practice, the server can substitute the dynamic risk assessment index into the set geological disaster risk level classification rules for matching to determine the geological disaster risk level of the target area of ​​the transmission line corridor. The geological disaster risk level classification rules include low risk, medium risk, high risk, and extremely high risk levels, as well as the dynamic risk assessment index ranges corresponding to each level. For example, the dynamic risk assessment index range for a low risk level is 0 ≤ DRI < 0.3; for a medium risk level, it is 0.3 ≤ DRI < 0.6; for a high risk level, it is 0.6 ≤ DRI < 0.8; and for an extremely high risk level, it is DRI ≥ 0.8.

[0043] S7. Output corresponding geological disaster early warning information based on the geological disaster risk level of the target area of ​​the transmission line corridor.

[0044] In practice, the server can output corresponding geological disaster early warning information based on the geological disaster risk level of the target area of ​​the transmission line corridor. For example, the geological disaster early warning information corresponding to the low risk level is "maintain routine monitoring"; the geological disaster early warning information corresponding to the medium risk level is "strengthen monitoring and notify patrol personnel to pay attention"; the geological disaster early warning information corresponding to the high risk level is "issue an early warning, activate the emergency plan, and consider key inspections by drones"; and the geological disaster early warning information corresponding to the extremely high risk level is "issue a red alert and recommend emergency measures such as shutdown and risk avoidance if necessary".

[0045] Meanwhile, the server can also link and archive geological monitoring data, meteorological environmental data, topographic and geographical data, dynamic risk assessment index, geological disaster risk level, and geological disaster early warning information of the target area of ​​the power transmission line corridor, so as to facilitate subsequent data tracing and retrieval.

[0046] This method is dynamic and forward-looking, enabling risk assessment to accurately reflect the dynamic evolution of geological hazards; it makes the results of geological hazard risk determination more objective and accurate, reducing subjective experience errors; it can be adapted to risk assessment of geological hazards in different types of transmission line corridors, and has strong universality; it can greatly improve the intelligent level of safe operation and maintenance of transmission line corridors.

[0047] Example 2: This embodiment provides a geological hazard risk assessment system for power transmission line corridors, such as... Figure 2 As shown, it includes a data acquisition unit, a data extraction unit, a factor determination unit, an index determination unit, an assessment and calculation unit, a risk assessment unit, and a risk warning unit, wherein: The data acquisition unit is used to collect geological monitoring data and meteorological environmental data of the target area of ​​the transmission line corridor in real time, and to retrieve the topographic and geographical data of the target area of ​​the transmission line corridor. The data extraction unit is used to extract surface displacement rate and soil moisture content from geological monitoring data, cumulative rainfall and effective rainfall from meteorological and environmental data, and slope parameters, aspect parameters, vegetation coverage and distance from river channel from topographic and geographical data. The factor determination unit is used to determine the slope factor based on the slope parameter, the slope aspect factor based on the aspect parameter, the vegetation coverage factor based on the vegetation coverage, and the distance from the river channel factor based on the distance from the river channel. The index determination unit is used to calculate the geological stability index using surface displacement rate and soil moisture content, determine the rainfall assessment index using cumulative rainfall, and determine the topographic index using slope factor, aspect factor, vegetation cover factor, and distance from river channel factor. The assessment calculation unit is used to calculate the dynamic risk assessment index using the geological stability index, rainfall assessment index, effective rainfall, and topographic index. The risk assessment unit is used to determine the geological disaster risk level of the target area of ​​the transmission line corridor based on the dynamic risk assessment index. The risk warning unit is used to output corresponding geological disaster early warning information based on the geological disaster risk level of the target area of ​​the transmission line corridor.

[0048] Example 3: This embodiment provides a geological hazard risk assessment system for power transmission line corridors, such as... Figure 3 As shown, at the hardware level, it includes: The data interface is used to establish data communication between the processor and external data terminals; Memory, used to store instructions; The processor is used to read instructions stored in the memory and execute the geological hazard risk assessment method for transmission line corridors in Embodiment 1 according to the instructions.

[0049] Optionally, the system also includes an internal bus, through which the processor, memory, and data interface can be interconnected. This internal bus can be a PCIe (Peripheral Component Interconnect Eexpress) bus, which can be divided into an address bus, a data bus, a control bus, etc. The memory can include, but is not limited to, Random Access Memory (RAM), Read Only Memory (ROM), Flash Memory, First Input First Output (FIFO), and / or First In Last Out (FILO). The processor can be a general-purpose processor, including a Central Processing Unit (CPU), a Network Processor (NP), etc.; it can also be a Digital Signal Processor (DSP), an Application Specific Integrated Circuit (ASIC), a Field-Programmable Gate Array (FPGA), or other programmable logic devices, discrete gate or transistor logic devices, or discrete hardware components.

[0050] Example 4: This embodiment provides a computer-readable storage medium storing instructions. When these instructions are executed on a computer, the computer performs the geological hazard risk assessment method for power transmission line corridors described in Embodiment 1. The computer-readable storage medium refers to a data storage medium, which may include, but is not limited to, floppy disks, optical disks, hard disks, flash memory, USB flash drives, and / or Memory Sticks. The computer may be a general-purpose computer, a special-purpose computer, a computer network, or other programmable devices.

[0051] This embodiment also provides a computer program product that, when run on a computer, executes the geological hazard risk assessment method for power transmission line corridors described in Embodiment 1. The computer can be a general-purpose computer, a special-purpose computer, a computer network, or other programmable device.

[0052] Finally, it should be noted that the above description is merely a preferred embodiment of the present invention and is not intended to limit the scope of protection of the present invention. Any modifications, equivalent substitutions, improvements, etc., made within the spirit and principles of the present invention should be included within the scope of protection of the present invention.

Claims

1. A method for assessing geological hazard risks along power transmission line corridors, characterized in that, include: Real-time collection of geological monitoring data and meteorological environmental data of the target area of ​​the transmission line corridor, and retrieval of topographic and geographical data of the target area of ​​the transmission line corridor; Surface displacement rate and soil moisture content are extracted from geological monitoring data; cumulative rainfall and effective rainfall are extracted from meteorological and environmental data; and slope parameters, aspect parameters, vegetation cover and distance from river channels are extracted from topographic and geographical data. Slope factor is determined based on slope parameters, aspect factor is determined based on aspect parameters, vegetation coverage factor is determined based on vegetation coverage, and distance from river channel factor is determined based on distance from river channel. The geological stability index was calculated using surface displacement rate and soil moisture content; the rainfall assessment index was determined using cumulative rainfall; and the topographic index was determined using slope factor, aspect factor, vegetation cover factor, and distance from river channel factor. The dynamic risk assessment index is calculated using the geological stability index, rainfall assessment index, effective rainfall, and topographic index. The geological disaster risk level of the target area of ​​the transmission line corridor is determined based on the dynamic risk assessment index. Based on the geological hazard risk level of the target area along the power transmission line corridor, corresponding geological hazard early warning information is output.

2. The method for assessing geological disaster risks along a power transmission line corridor according to claim 1, characterized in that, The determination of slope factor based on slope parameters, slope aspect factor based on slope aspect parameters, vegetation coverage factor based on vegetation coverage, and distance from river channel factor based on distance from river channel include: The slope parameters are substituted into a pre-set slope factor calculation model to obtain the slope factor. The slope factor calculation model is as follows: Among them, S norm S is the slope factor, and S is the slope parameter; The slope aspect parameters are substituted into a preset slope aspect factor reference table for matching to obtain the corresponding slope aspect factor. The slope aspect factor has a value range of [0, 1]. The slope aspect factor reference table contains several slope aspect parameter intervals and the slope aspect factor corresponding to each slope aspect parameter interval. The vegetation coverage is normalized based on the set vegetation coverage threshold range to obtain the vegetation coverage factor. The distance from the river channel is substituted into a preset formula for the distance factor from the river channel to obtain the distance factor from the river channel. The formula for the distance factor from the river channel is as follows: Among them, D norm d is the distance factor from the river channel, k is the distance from the river channel, and k is the set attenuation coefficient.

3. The method for assessing geological disaster risks along a power transmission line corridor according to claim 1, characterized in that, The calculation of the geological stability index using surface displacement rate and soil moisture content includes: The surface displacement rate and soil moisture content are substituted into a pre-set geological stability index formula to calculate the geological stability index, which is: Where G is the geological stability index, Vd is the surface displacement rate, Vmax is the set maximum surface displacement rate, Ws is the soil moisture content, and Wmax is the set maximum soil moisture content.

4. The method for assessing geological disaster risks along a power transmission line corridor according to claim 1, characterized in that, The method of determining the rainfall assessment index using cumulative rainfall includes: The cumulative rainfall is normalized based on the set cumulative rainfall threshold range to obtain the rainfall assessment index.

5. The method for assessing geological disaster risks along a power transmission line corridor according to claim 1, characterized in that, The method of determining topographic and geographical indices using slope factor, aspect factor, vegetation cover factor, and distance from river channel factor includes: The slope factor, aspect factor, vegetation cover factor, and distance from the river channel factor are substituted into a preset weighted summation formula to calculate the topographic geographic index. The weighted summation formula is as follows: T=w1×S norm +w2×A norm +w3×(1-V norm )+w4×D norm Where T is the topographic index, S norm A is the slope factor. norm V is the aspect factor. norm D is the vegetation cover factor. norm For distance from the river channel, w1, w2, w3, and w4 are the weight coefficients of the slope factor, aspect factor, vegetation coverage factor, and distance from the river channel factor, respectively, and w1+w2+w3+w4=1.

6. The method for assessing geological disaster risks along a power transmission line corridor according to claim 1, characterized in that, The calculation of the dynamic risk assessment index using the geological stability index, rainfall assessment index, effective rainfall, and topographic index includes: The geological stability index, rainfall assessment index, effective rainfall, and topographic index are substituted into a pre-set dynamic risk assessment index calculation model to obtain the dynamic risk assessment index. The dynamic risk assessment index calculation model is as follows: Wherein, DRI is the dynamic risk assessment index, G is the geological stability index, R is the rainfall assessment index, P is the effective rainfall, T is the topographic index, α and β are the first and second global weight coefficients respectively, and α+β=1, δ and γ are the first and second dynamic weight coefficients respectively, and δ+γ=1.

7. The method for assessing geological disaster risks along a power transmission line corridor according to claim 1, characterized in that, The determination of the geological hazard risk level of the target area of ​​the transmission line corridor based on the dynamic risk assessment index includes: The dynamic risk assessment index is substituted into the set geological disaster risk level classification rules for matching to determine the geological disaster risk level of the target area of ​​the transmission line corridor. The geological disaster risk level classification rules include low risk level, medium risk level, high risk level and extremely high risk level, as well as the dynamic risk assessment index ranges corresponding to low risk level, medium risk level, high risk level and extremely high risk level respectively.

8. The method for assessing geological disaster risks along a power transmission line corridor according to claim 7, characterized in that, The method further includes: Geological monitoring data, meteorological and environmental data, topographic and geographical data, dynamic risk assessment index, geological disaster risk level, and geological disaster early warning information are linked and archived.

9. A geological hazard risk assessment system for power transmission line corridors, characterized in that, It includes a data acquisition unit, a data extraction unit, a factor determination unit, an index determination unit, an assessment and calculation unit, a risk assessment unit, and a risk warning unit, among which: The data acquisition unit is used to collect geological monitoring data and meteorological environmental data of the target area of ​​the transmission line corridor in real time, and to retrieve the topographic and geographical data of the target area of ​​the transmission line corridor. The data extraction unit is used to extract surface displacement rate and soil moisture content from geological monitoring data, cumulative rainfall and effective rainfall from meteorological and environmental data, and slope parameters, aspect parameters, vegetation coverage and distance from river channel from topographic and geographical data. The factor determination unit is used to determine the slope factor based on the slope parameter, the slope aspect factor based on the aspect parameter, the vegetation coverage factor based on the vegetation coverage, and the distance from the river channel factor based on the distance from the river channel. The index determination unit is used to calculate the geological stability index using surface displacement rate and soil moisture content, determine the rainfall assessment index using cumulative rainfall, and determine the topographic index using slope factor, aspect factor, vegetation cover factor, and distance from river channel factor. The assessment calculation unit is used to calculate the dynamic risk assessment index using the geological stability index, rainfall assessment index, effective rainfall, and topographic index. The risk assessment unit is used to determine the geological disaster risk level of the target area of ​​the transmission line corridor based on the dynamic risk assessment index. The risk warning unit is used to output corresponding geological disaster early warning information based on the geological disaster risk level of the target area of ​​the transmission line corridor.

10. A geological hazard risk assessment system for power transmission line corridors, characterized in that, include: Memory, used to store instructions; A processor is configured to read instructions stored in the memory and execute the geological hazard risk assessment method for transmission line corridors as described in any one of claims 1-8 according to the instructions.

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