Power transmission line landslide disaster susceptibility evaluation and reinforcement measure decision-making method

Abstract

The invention discloses a power transmission line landslide disaster susceptibility evaluation and reinforcement measure decision-making method, which comprises the steps of obtaining geological environment factor data of a plurality of evaluation units in a target power transmission channel, and calculating a susceptibility index of each evaluation unit based on an information amount model, the geological environment factor data comprises landform types, topographic gradients, structural stability, geological rock groups, vegetation coverage conditions and human activity influences; performing susceptibility level zoning on the target power transmission channel according to the susceptibility index to generate a geological disaster susceptibility zoning map; for each divided susceptible grade area, analyzing main geological environment factors contributing to susceptibility indexes, and identifying main disaster causing factors of the area; matching and generating one or more targeted reinforcement scheme sets from a pre-established reinforcement measure knowledge base on the basis of the susceptible grade area and the identified main disaster-causing factors; wherein the reinforcement measure knowledge base comprises a structural reinforcement measure, an ecological slope protection measure, a drainage measure and a combination scheme thereof.

Description

Technical Field

[0001] This invention relates to the field of power transmission line disaster assessment technology, and in particular to a method for assessing the susceptibility of power transmission lines to landslide disasters and making decisions on reinforcement measures. Background Technology

[0002] Power transmission lines, as vital national energy arteries, often traverse mountainous and hilly areas with complex geological conditions, facing the serious threat of landslides. Traditional disaster assessment methods rely heavily on expert experience for qualitative judgments or employ semi-quantitative models such as the analytic hierarchy process (AHP). These methods are highly subjective and struggle to accurately quantify the contribution of various environmental factors, resulting in insufficient accuracy in susceptibility zoning and failing to provide a reliable basis for differentiated and refined engineering prevention and control.

[0003] In disaster management, existing technologies often disconnect assessment results from the selection of specific reinforcement measures, lacking systematic decision support. Engineering practice frequently employs a "one-size-fits-all" approach to reinforcement or relies solely on experience to select measures, failing to accurately match the primary disaster-causing factors to different risk levels. This approach easily leads to resource waste or inadequate management, potentially increasing engineering costs through over-design or leaving safety hazards due to insufficient targeting of measures, making it difficult to achieve the optimal balance between safety and economy. Summary of the Invention

[0004] Based on this, it is necessary to propose a method for assessing the susceptibility of power transmission lines to landslide disasters and for making decisions on reinforcement measures, in response to the above problems.

[0005] A method for assessing the susceptibility to landslide disasters of power transmission lines and making decisions on reinforcement measures, the method comprising the following steps: Geological environmental factor data of multiple evaluation units within the target power transmission channel are acquired, and the susceptibility index of each evaluation unit is calculated based on the information content model. The geological environmental factor data includes landform type, terrain slope, structural stability, geological rock group, vegetation cover and human activity impact. Based on the susceptibility index, the target power transmission channel is divided into susceptibility zones, and a geological hazard susceptibility zoning map is generated; For each identified susceptibility level zone, the main geological environmental factors contributing to the susceptibility index are analyzed, and the main disaster-causing factors in that zone are identified. Based on the high-risk zones and the identified main disaster-causing factors, one or more targeted reinforcement scheme sets are matched and generated from a pre-built reinforcement measures knowledge base; wherein, the reinforcement measures knowledge base includes structural reinforcement measures, ecological slope protection measures, drainage measures and their combinations.

[0006] In the above scheme, the formula for calculating the susceptibility index is:

[0007] Where I is the susceptibility index of the evaluation unit, n is the number of evaluation factors, and N is the number of evaluation factors. j S represents the area of ​​a geological hazard that has occurred within the study area and belongs to a certain level of factor j. N represents the total area of ​​all geological hazards that have occurred within the study area. j Let S be the total area of ​​a certain level of the j-th factor within the study area, and let S be the total area of ​​the study area.

[0008] In the above scheme, the structural reinforcement measures include at least one of anti-slide piles, anchoring technology, retaining walls, and flexible protective nets.

[0009] In the above scheme, the ecological slope protection measures include at least one of the following: hydraulic spraying, geogrid planting, honeycomb mesh planting, thick substrate spraying, and mixed tree, shrub and grass vegetation community configuration.

[0010] In the above scheme, the drainage measures include intercepting ditches, drainage ditches, blind ditches, vertical drainage holes, and a three-dimensional drainage system composed of them.

[0011] In the above scheme, the rules for matching and generating a set of targeted reinforcement schemes include: For areas with extremely high risk levels, the generated solution set focuses on structural reinforcement measures and is associated with matching drainage measures; For areas with a high risk level, the generated solution set consists of a combination of structural reinforcement measures and ecological slope protection measures. For areas with a low or medium risk level, the generated solution set mainly consists of ecological slope protection measures and drainage measures.

[0012] In the above scheme, for areas with an extremely high risk level, the generated scheme set is based on structural reinforcement measures and is associated with matching drainage measures, including: reinforcement using a first combination of drainage measures such as anti-slide piles, anchored grid beams and three-dimensional drainage systems, or reinforcement using a second combination of drainage measures such as retaining walls, slope reduction and surface drainage.

[0013] In the above scheme, for areas with a high risk level, the generated scheme set is a composite scheme of structural reinforcement measures and ecological slope protection measures, including: reinforcement using a third combination of drainage measures of retaining walls and grid beam ecological slope protection, or reinforcement using a fourth combination of drainage measures of anchor frame beams and ecological spraying.

[0014] In the above scheme, the anti-slide piles include different engineering types such as micropiles, row anti-slide piles, and pile-slab anti-slide piles.

[0015] In the above scheme, the anchoring technology includes anchor bolts, anchor cables, and anchoring structures combined with lattice beams and baffles.

[0016] This application also proposes a decision-making system for landslide hazard assessment and reinforcement measures for transmission lines, including a data acquisition unit, a susceptibility assessment unit, a main disaster-causing factor identification unit, a reinforcement measures knowledge base, and a scheme generation and matching unit; The data acquisition unit is used to acquire geological environmental factor data of multiple evaluation units within the target power transmission channel. The geological environmental factor data includes landform type, terrain slope, structural stability, geological rock group, vegetation cover and human activity impact. The susceptibility assessment unit is used to calculate the susceptibility index of each assessment unit based on the information content model, and to classify the susceptibility level of the target power transmission channel according to the susceptibility index, thereby generating a geological disaster susceptibility zoning map. The main disaster-causing factor identification unit is used to analyze the main geological environmental factors contributing to the susceptibility index for each divided susceptibility level zone, and identify the main disaster-causing factors in that zone. A knowledge base for reinforcement measures, used to pre-store structural reinforcement measures, ecological slope protection measures, drainage measures, and their combinations; The scheme generation and matching unit is used to match and generate one or more targeted reinforcement scheme sets from the reinforcement measures knowledge base based on the susceptibility level area and the identified main disaster-causing factors.

[0017] This application also proposes a readable storage medium storing a computer program, which, when executed by a processor, causes the processor to perform the following steps: Geological environmental factor data of multiple evaluation units within the target power transmission channel are acquired, and the susceptibility index of each evaluation unit is calculated based on the information content model. The geological environmental factor data includes landform type, terrain slope, structural stability, geological rock group, vegetation cover and human activity impact. Based on the susceptibility index, the target power transmission channel is divided into susceptibility zones, and a geological hazard susceptibility zoning map is generated; For each identified susceptibility level zone, the main geological environmental factors contributing to the susceptibility index are analyzed, and the main disaster-causing factors in that zone are identified. Based on the high-risk zones and the identified main disaster-causing factors, one or more targeted reinforcement scheme sets are matched and generated from a pre-built reinforcement measures knowledge base; wherein, the reinforcement measures knowledge base includes structural reinforcement measures, ecological slope protection measures, drainage measures and their combinations.

[0018] This application also proposes a computer device, including a memory and a processor, wherein the memory stores a computer program, and when the computer program is executed by the processor, the processor causes the processor to perform the following steps: Geological environmental factor data of multiple evaluation units within the target power transmission channel are acquired, and the susceptibility index of each evaluation unit is calculated based on the information content model. The geological environmental factor data includes landform type, terrain slope, structural stability, geological rock group, vegetation cover and human activity impact. Based on the susceptibility index, the target power transmission channel is divided into susceptibility zones, and a geological hazard susceptibility zoning map is generated; For each identified susceptibility level zone, the main geological environmental factors contributing to the susceptibility index are analyzed, and the main disaster-causing factors in that zone are identified. Based on the high-risk zones and the identified main disaster-causing factors, one or more targeted reinforcement scheme sets are matched and generated from a pre-built reinforcement measures knowledge base; wherein, the reinforcement measures knowledge base includes structural reinforcement measures, ecological slope protection measures, drainage measures and their combinations.

[0019] The embodiments of this invention offer the following advantages: By introducing an information model to quantitatively calculate multi-source geological environmental factors, this invention significantly improves the objectivity and accuracy of susceptibility assessment. This method not only accurately delineates the risk levels of transmission lines but also further identifies the main disaster-causing factors in each high-risk area, thus grounding macro-level risk assessment in specific disaster-causing mechanisms and laying a scientific foundation for subsequent targeted mitigation measures. Simultaneously, by constructing a knowledge base containing various reinforcement measures and establishing intelligent matching rules with susceptibility levels and main disaster-causing factors, the process from risk identification to precise policy implementation is realized. This solution can automatically generate a set of reinforcement schemes that are both technically targeted and economically viable, effectively overcoming the blindness of traditional methods. While significantly improving the disaster prevention and mitigation effects of transmission lines, it optimizes the allocation of engineering resources, achieving a balance between safety and economic benefits. 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] in: Figure 1 This is a schematic diagram of the process for evaluating the susceptibility of power transmission lines to landslide hazards and making decisions on reinforcement measures, as shown in one embodiment. Detailed Implementation

[0022] The technical solutions of the present invention will be clearly and completely described below with reference to the accompanying drawings of the embodiments of the present invention. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0023] In the following description, numerous specific details are set forth in order to provide a more thorough understanding of the invention; however, it will be apparent to those skilled in the art that the invention may be practiced without one or more of these details; in other instances, certain technical features well-known in the art have not been described in order to avoid confusion with the invention. It should be understood that the invention can be practiced in different forms and should not be construed as limited to the embodiments set forth herein; rather, these embodiments are provided to make the disclosure thorough and complete and to fully convey the scope of the invention to those skilled in the art.

[0024] The terminology used herein is for the purpose of describing particular embodiments only and is not intended to limit the invention. When used herein, the singular forms “a,” “an,” and “the” are also intended to include the plural forms, unless the context clearly indicates otherwise. The terms “comprising” and / or “including,” when used in this specification, identify the presence of said features, integers, steps, operations, elements, and / or components, but do not exclude the presence or addition of one or more other features, integers, steps, operations, elements, components, and / or groups. When used herein, the term “and / or” includes any and all combinations of the associated listed items.

[0025] Given that existing technologies for preventing landslide disasters along transmission lines rely heavily on subjective experience for susceptibility assessment, lack quantitative analysis, and are disconnected from reinforcement decision-making, resulting in a lack of targeted protection measures and frequent issues of over- or under-protection, making it difficult to achieve scientific, economical, and efficient risk management, this proposal suggests a method for assessing the susceptibility of landslide disasters along transmission lines and making decisions on reinforcement measures. This method aims to accurately assess risks through quantitative models, identify major disaster-causing factors, and generate targeted reinforcement solutions based on a knowledge base. This systematically addresses the core challenges of inaccurate assessments, blind decision-making, and low protection efficiency in existing technologies.

[0026] To fully understand the present invention, a detailed structure will be presented in the following description in order to illustrate the technical solution proposed by the present invention; optional embodiments of the present invention are described in detail below, however, in addition to these detailed descriptions, the present invention may have other embodiments.

[0027] like Figure 1 As shown, in one embodiment, a method for assessing the susceptibility to landslide disasters and making decisions on reinforcement measures for transmission lines is provided. This method includes steps S101 to S104, which are detailed below: S101. Obtain geological environmental factor data for multiple evaluation units within the target power transmission channel, and calculate the susceptibility index for each evaluation unit based on the information content model. The geological environmental factor data includes landform type, topographic slope, structural stability, geological rock group, vegetation cover and human activity impact. By comprehensively collecting data on six core geological environmental factors, including landform type, topographic slope, and structural stability, from multiple evaluation units within the target power transmission channel, a complete coverage of landslide hazard influencing factors was achieved, solving the problems of single factors and one-sided data in traditional assessments. Simultaneously, by introducing an information volume model for quantitative calculation, an objective and accurate assessment of geological hazard susceptibility was realized. It transforms multiple geological environmental factors into a unified susceptibility index, effectively overcoming the shortcomings of traditional methods such as strong subjectivity and difficulty in quantification, providing a scientific data foundation for the entire assessment system, and making the risk assessment results highly comparable and reliable.

[0028] In some embodiments, the susceptibility index is calculated using the following formula:

[0029] Where I is the susceptibility index of the evaluation unit, n is the number of evaluation factors, and N is the number of evaluation factors. j S represents the area of ​​a geological hazard that has occurred within the study area and belongs to a certain level of factor j. N represents the total area of ​​all geological hazards that have occurred within the study area. j Let S be the total area of ​​a certain level of the j-th factor within the study area, and let S be the total area of ​​the study area.

[0030] By calculating the ratio of the probability density of disaster occurrence within each factor classification to its background probability density in the study area, and then taking the logarithm, a larger susceptibility index value indicates a greater contribution or information content of that factor classification to disaster occurrence. The summation of the information content of each factor yields the overall susceptibility index for that unit.

[0031] The overall susceptibility index of this unit indicates the comprehensive risk level of landslide disasters within the evaluation unit. This index, by summing the information from each evaluation factor, comprehensively reflects the probability of disaster occurrence under the combined influence of multiple geological environmental factors, including landforms, slope, lithology, structure, vegetation, and human activities. A higher index value indicates more favorable geological conditions for landslides, and a higher disaster risk level; conversely, a lower index value indicates a lower disaster risk. This quantitative indicator provides a scientific basis for subsequent susceptibility zoning and the formulation of targeted prevention and control measures.

[0032] S102. Based on the susceptibility index, the target power transmission channel is divided into susceptibility zones, and a geological disaster susceptibility zoning map is generated; This solution transforms the numerical susceptibility index into an intuitive spatial risk level distribution map. Its effectiveness lies in visualizing the risk assessment results, clearly and easily identifying high-risk, medium-risk, and low-risk areas along the transmission line. This provides managers and engineers with direct decision-making support for risk warning, resource allocation, and the determination of priority remediation areas.

[0033] S103. For each zone classified as a susceptibility level, analyze the main geological environmental factors contributing to the susceptibility index and identify the main disaster-causing factors in that zone. By accurately identifying the main disaster-causing factors in each region (e.g., the main causes in extremely high-risk areas may be topographic slope and structural instability, while in medium- and low-risk areas it may be insufficient vegetation cover and poor drainage), the core driving factors of landslide disasters were clarified, enabling the formulation of subsequent reinforcement measures to shift from broad-spectrum protection to targeted governance. This step established the correlation between risk level and disaster-causing factors, providing a key basis for the accurate matching of reinforcement schemes, ensuring that subsequent measures can directly address the root causes of disasters, and significantly improving the pertinence and effectiveness of disaster governance.

[0034] S104. Based on the susceptibility level areas and the identified main disaster-causing factors, match and generate one or more targeted reinforcement scheme sets from the pre-built reinforcement measures knowledge base; wherein, the reinforcement measures knowledge base includes structural reinforcement measures, ecological slope protection measures, drainage measures and their combination schemes.

[0035] In summary, based on the dual constraints of susceptibility level and main disaster-causing factors, a precise correspondence mechanism between risk characteristics and reinforcement measures was constructed by matching solutions from a pre-built knowledge base that integrates structural reinforcement, ecological slope protection, drainage measures and their combinations. This completely changes the traditional subjective and arbitrary status quo of relying on human experience to select measures.

[0036] The knowledge base encompasses diverse structural measures such as anti-slide piles and anchor bolts, ecological measures such as hydraulic spraying and tree-shrub-grass configuration, and auxiliary measures such as three-dimensional drainage systems. Combined with differentiated matching rules, it ensures the reinforcement strength of extremely high or high-risk areas while avoiding excessive reinforcement in medium- and low-risk areas, achieving an optimal balance between disaster prevention and control effectiveness and resource input. At the same time, it generates one or more targeted solution sets for each region, providing flexible selection space for engineering practice. It can be adapted to different geological conditions, construction scenarios, and ecological protection needs, taking into account engineering stability, economy, and ecological friendliness, and greatly improving the systematicness and operability of power transmission line landslide disaster prevention and control.

[0037] In some embodiments, structural reinforcement measures include at least one of anti-slide piles, anchoring technology, retaining walls, and flexible protective nets.

[0038] Specifically, the effectiveness of structural reinforcement measures lies in building a multi-layered, multi-method knowledge base of structural measures. It covers reinforcement methods based on different mechanical principles, ranging from resisting sliding forces, enhancing the stability of the soil and rock mass, supporting retaining soil, to active protection, ensuring that the solutions can effectively address different mechanical modes and scales of landslides.

[0039] Preferably, the anchoring technology includes anchor bolts, anchor cables, and anchoring structures combined with lattice beams and baffles.

[0040] Specifically, this preferred embodiment realizes the graded and combined application of anchoring technology. Anchor bolts are suitable for shallow reinforcement, anchor cables are used for deep and large landslides, and the combined use with grid beams or retaining walls elevates point anchoring to surface or integral support, significantly enhancing the integrity and stability of the slope, especially suitable for fractured rock or soil slopes.

[0041] Preferably, anti-slide piles include different engineering types such as micropiles, row anti-slide piles, and pile-slab anti-slide piles.

[0042] Specifically, this preferred embodiment provides a range of anti-slide pile selections for different landslide thrusts and construction conditions. Micropiles are suitable for scenarios with limited space or low thrust; row-type anti-slide piles resist larger thrusts through collective action; and pile-slab anti-slide piles serve both anti-slide and retaining functions. This refinement ensures that the energy volume is tailored when matching and generating solutions, taking into account both safety and economy.

[0043] In some embodiments, ecological slope protection measures include at least one of hydraulic spraying, geogrid planting, honeycomb mesh planting, thick substrate spraying, and mixed tree-shrub-grass vegetation community configuration. These measures effectively prevent surface erosion and shallow landslides by combining soil stabilization through plant roots with surface protection through engineering materials, while restoring vegetation, improving the ecological environment, and achieving an organic combination of engineering measures and ecological restoration.

[0044] Specifically, hydroseeding and geonet planting are suitable for rapid greening of soil slopes; honeycomb mesh provides stronger erosion resistance; thick substrate spraying can be used in areas where natural vegetation is difficult to grow, such as rock slopes; and mixed tree, shrub, and grass configurations simulate natural communities, aiming to establish long-term stable ecosystems. This diversity ensures that the most suitable ecological solutions are available for matching and selection in medium- and low-risk areas or as an auxiliary measure in high-risk areas.

[0045] In some embodiments, drainage measures include intercepting ditches, drainage ditches, blind drains, vertical drainage holes, and a three-dimensional drainage system formed therefrom. By effectively removing surface runoff and lowering the groundwater level, the weight of the landslide body and pore water pressure are significantly reduced, thereby fundamentally improving slope stability. This is a crucial and cost-effective means in landslide control.

[0046] Specifically, the three-dimensional drainage system constitutes a systematized and coordinated drainage measure. A single drainage ditch or blind ditch has limited effectiveness, but by organically combining intercepting ditches to block external water flow, drainage ditches to guide surface water, blind ditches to drain shallow groundwater, and vertical drainage holes to accelerate deep drainage, a three-dimensional drainage network penetrating both the surface and underground is formed. This network can comprehensively control the hydrological conditions within the slope, which is particularly crucial for controlling large or deep landslides.

[0047] In some embodiments, the rules for matching and generating a set of targeted hardening solutions include: For areas with extremely high risk levels, the generated solution set focuses on structural reinforcement measures and is associated with matching drainage measures; For areas with a high risk level, the generated solution set consists of a combination of structural reinforcement measures and ecological slope protection measures. For areas with a low or medium risk level, the generated solution set mainly consists of ecological slope protection measures and drainage measures.

[0048] For extremely high-risk areas, structural reinforcement measures are the core, coupled with corresponding drainage measures. This establishes a proactive reinforcement and fundamental solution-first decision-making principle. This ensures that in the highest-risk sections, the treatment plan provides the most reliable mechanical protection to directly resist landslide thrust, while drainage measures eliminate key triggering factors, fundamentally ensuring the absolute safety of the project.

[0049] For high-risk areas, a combined approach of structural reinforcement and ecological slope protection was adopted, achieving an optimized integration of rigid protection and flexible ecology. While ensuring necessary structural safety, the introduction of ecological slope protection measures reduced the engineering costs and ecological impact of purely rigid structures, while enhancing durability through the long-term slope-stabilizing effect of vegetation, thus achieving a balance between safety, economy, and ecological benefits.

[0050] For medium- and low-risk areas, ecological slope protection and drainage measures are prioritized, reflecting a governance strategy that prioritizes ecology and is cost-effective. This avoids the overuse of expensive structural measures in low-risk areas, instead employing lower-cost and environmentally friendly methods to maintain slope stability and control triggering factors, achieving disaster prevention goals with the best cost-effectiveness ratio and saving significant engineering investment.

[0051] Preferably, the associated drainage measures include selecting different combinations of drainage systems based on the significance of groundwater in the main disaster-causing factors. For example, for deep landslides with abundant groundwater, the scheme should prioritize matching a three-dimensional drainage system consisting of deep blind ditches and vertical drainage holes; while for landslides mainly caused by surface water infiltration, a surface drainage system consisting of intercepting ditches and drainage ditches can be matched.

[0052] Furthermore, in high-risk areas, composite solutions can be refined based on slope material and deformation characteristics. For example, for rock slopes or soil slopes requiring active prestressing, an anchor frame beam + ecological spraying solution can be prioritized, using the frame beams to stabilize the slope while simultaneously carrying out ecological restoration within the grid.

[0053] For embankment or soil slopes, a retaining wall + grid beam ecological slope protection scheme can be prioritized. The retaining wall provides the main support, and grass is planted inside the grid beam for slope protection.

[0054] In medium- and low-risk areas, further targeted matching should be carried out based on the dominant causes. For example, for areas unstable due to slope erosion, ecological measures with strong erosion resistance, such as honeycomb grid planting, should be prioritized; for slope toes with the risk of water accumulation, measures such as drainage ditches must be matched.

[0055] In some embodiments, for areas with extremely high risk levels, the generated set of solutions is centered on structural reinforcement measures and associated with matching drainage measures, including: reinforcement using a first combination of drainage measures such as anti-slide piles, anchored lattice beams and three-dimensional drainage systems, or reinforcement using a second combination of drainage measures such as retaining walls, slope reduction and surface drainage.

[0056] Specifically, the combination of anti-slide piles, anchored cable grid beams, and a three-dimensional drainage system forms the first combination, creating a synergistic defense system of deep anti-slide, slope anchoring, and three-dimensional drainage. This combination is suitable for managing large, deep landslides with enormous thrust. The anti-slide piles provide deep anti-slide force, the anchored cable grid beams anchor the slope soil and rock mass to the stable rock layer and suppress shallow deformation, and the three-dimensional drainage system reduces pore water pressure from both deep and shallow depths. The three elements work synergistically to achieve comprehensive reinforcement from the inside out.

[0057] The second combination of retaining walls, slope reduction, and surface drainage addresses shallow to medium-level landslides through a comprehensive approach that reduces sliding force, enhances resistance to sliding, and controls infiltration. Slope reduction directly decreases landslide thrust at the source, retaining walls provide concentrated support, and surface drainage effectively prevents surface water infiltration and worsening of conditions. This combination is particularly suitable for small to medium-sized landslides with concentrated stress at the toe or exposed slopes, offering an economical and efficient solution.

[0058] In some embodiments, for areas with a high risk level, the generated solution set is a composite solution of structural reinforcement measures and ecological slope protection measures, including: reinforcement using a third combination of drainage measures of retaining walls and grid beam ecological slope protection, or reinforcement using a fourth combination of drainage measures of anchor frame beams and ecological spraying.

[0059] Specifically, the third combination of retaining walls and grid beam ecological slope protection achieves large-scale ecological protection and landscape restoration while ensuring the stability of key areas. The retaining walls provide key support for the slope toe or critical unstable areas, while the grid beam ecological slope protection reinforces and greens the entire slope, providing additional anti-sliding force and effectively preventing soil erosion. The fourth combination of anchor frame beams and ecological hydroseeding creates an ecological growth base with active reinforcement function. The anchor frame beams themselves are a lightweight retaining structure that effectively restrains loose material on the slope and transfers anchoring force to the stable layer. Its grid-like frame provides ideal attachment and growth space for ecological hydroseeding, achieving a perfect symbiosis between engineering structures and vegetation.

[0060] In summary, this solution integrates three core components: quantitative evaluation using an information volume model, precise diagnosis of major disaster-causing factors, and intelligent matching of reinforcement measures. This constructs a closed-loop technical system from risk identification to governance decision-making. Its technical effects are as follows: First, based on multi-source geological environmental factor data, the susceptibility index is calculated using an information volume model, enabling objective and refined zoning of landslide risks along transmission line corridors, overcoming the subjective limitations of traditional methods. Second, by analyzing the geological environmental factors that contribute most to the susceptibility index within each risk zone, key disaster-causing mechanisms are accurately identified. Finally, relying on a pre-built reinforcement measures knowledge base, optimal solution combinations are generated based on susceptibility levels and major disaster-causing factors through intelligent matching. For example, root-cause treatment solutions such as anti-slide piles + three-dimensional drainage are used in extremely high-risk areas, while composite solutions such as anchor frame beams + ecological slope protection are used in high-risk areas. This effectively achieves synergistic optimization of disaster prevention effects, engineering costs, and ecological benefits, significantly improving the accuracy, reliability, and economy of transmission line landslide prevention and control.

[0061] This application also proposes a decision-making system for landslide hazard assessment and reinforcement measures for transmission lines, including a data acquisition unit, a susceptibility assessment unit, a main disaster-causing factor identification unit, a reinforcement measures knowledge base, and a scheme generation and matching unit; The data acquisition unit is used to acquire geological environmental factor data of multiple evaluation units within the target power transmission channel. The geological environmental factor data includes landform type, topographic slope, tectonic stability, geological rock group, vegetation cover and human activity impact. The susceptibility assessment unit is used to calculate the susceptibility index of each assessment unit based on the information content model, and to classify the susceptibility level of the target transmission channel according to the susceptibility index, thereby generating a geological disaster susceptibility zoning map. The main disaster-causing factor identification unit is used to analyze the main geological environmental factors contributing to the susceptibility index for each susceptibility level zone and identify the main disaster-causing factors in that zone. A knowledge base for reinforcement measures, used to pre-store structural reinforcement measures, ecological slope protection measures, drainage measures, and their combinations; The scheme generation and matching unit is used to match and generate one or more targeted reinforcement scheme sets from the reinforcement measures knowledge base based on the susceptibility level areas and the identified main disaster-causing factors.

[0062] This application also proposes a readable storage medium storing a computer program, which, when executed by a processor, causes the processor to perform the following steps: Geological environmental factor data of multiple evaluation units within the target power transmission channel are obtained, and the susceptibility index of each evaluation unit is calculated based on the information content model. The geological environmental factor data includes landform type, topographic slope, structural stability, geological rock group, vegetation cover and human activity impact. Based on the susceptibility index, the target power transmission channel is divided into susceptibility zones, and a geological disaster susceptibility zoning map is generated; For each identified susceptibility level zone, the main geological environmental factors contributing to the susceptibility index are analyzed, and the main disaster-causing factors in that zone are identified. Based on the susceptibility zones and the identified main disaster-causing factors, one or more targeted reinforcement scheme sets are matched and generated from the pre-built reinforcement measures knowledge base; wherein, the reinforcement measures knowledge base includes structural reinforcement measures, ecological slope protection measures, drainage measures and their combinations.

[0063] This application also proposes a computer device, including a memory and a processor, wherein the memory stores a computer program, and when the computer program is executed by the processor, the processor performs the following steps: Geological environmental factor data of multiple evaluation units within the target power transmission channel are obtained, and the susceptibility index of each evaluation unit is calculated based on the information content model. The geological environmental factor data includes landform type, topographic slope, structural stability, geological rock group, vegetation cover and human activity impact. Based on the susceptibility index, the target power transmission channel is divided into susceptibility zones, and a geological disaster susceptibility zoning map is generated; For each identified susceptibility level zone, the main geological environmental factors contributing to the susceptibility index are analyzed, and the main disaster-causing factors in that zone are identified. Based on the susceptibility zones and the identified main disaster-causing factors, one or more targeted reinforcement scheme sets are matched and generated from the pre-built reinforcement measures knowledge base; wherein, the reinforcement measures knowledge base includes structural reinforcement measures, ecological slope protection measures, drainage measures and their combinations.

[0064] Those skilled in the art will understand that implementing all or part of the processes in the above embodiments can be accomplished by a computer program instructing related hardware. The program can be stored in a non-volatile computer-readable storage medium, and when executed, it can include the processes of the embodiments of the above methods. Any references to memory, storage, databases, or other media used in the embodiments provided in this application can include non-volatile and / or volatile memory. Non-volatile memory may include read-only memory (ROM), programmable ROM (PROM), electrically programmable ROM (EPROM), electrically erasable programmable ROM (EEPROM), or flash memory. Volatile memory may include random access memory (RAM) or external cache memory. By way of illustration and not limitation, RAM is available in various forms, such as static RAM (SRAM), dynamic RAM (DRAM), synchronous DRAM (SDRAM), dual data rate SDRAM (DDRSDRAM), enhanced SDRAM (ESDRAM), synchronous link DRAM (SLDRAM), Rambus direct RAM (RDRAM), direct memory bus dynamic RAM (DRDRAM), and memory bus dynamic RAM (RDRAM), etc.

[0065] The technical features of the above embodiments can be combined in any way. For the sake of brevity, not all possible combinations of the technical features in the above embodiments are described. However, as long as there is no contradiction in the combination of these technical features, they should be considered to be within the scope of this specification.

[0066] The embodiments described above are merely illustrative of several implementation methods of this application, and their descriptions are relatively specific and detailed. However, they should not be construed as limiting the scope of this application's patent. It should be noted that those skilled in the art can make various modifications and improvements without departing from the concept of this application, and these all fall within the protection scope of this application. The embodiments disclosed above are merely preferred embodiments of the present invention and should not be construed as limiting the scope of the present invention. Therefore, equivalent variations made according to the claims of this invention are still within the scope of this invention.

Claims

1. A method for evaluating landslide disaster susceptibility and deciding reinforcement measures for a power transmission line, characterized by, The method comprises: Obtaining geological environment factor data of a plurality of evaluation units in a target power transmission channel, calculating a susceptibility index of each evaluation unit based on an information content model, and the geological environment factor data comprises landform type, terrain slope, tectonic stability, geological rock group, vegetation coverage, and human activity influence; According to the susceptibility index, the target power transmission channel is divided into susceptibility grade zones, and a geological disaster susceptibility zoning map is generated; For each susceptibility grade zone, the main geological environment factor contributing to the susceptibility index is analyzed, and the main disaster-causing factor of the region is identified; Based on the susceptibility grade zone and the identified main disaster-causing factor, one or more targeted reinforcement scheme sets are matched and generated from a pre-built reinforcement measure knowledge base; wherein the reinforcement measure knowledge base includes structural reinforcement measures, ecological slope protection measures, drainage measures, and combinations thereof.

2. The power transmission line landslide disaster susceptibility assessment and reinforcement measure decision method according to claim 1, characterized in that, The calculation formula of the susceptibility index is: wherein I is the proneness index of the evaluation unit, n is the number of evaluation factors, N j is the area of the occurred geological disasters in the study area belonging to the jth factor and a certain classification, N is the total area of all occurred geological disasters in the study area, S j is the total area of the jth factor and a certain classification in the study area, and S is the total area of the study area.

3. The power transmission line landslide hazard susceptibility assessment and reinforcement measure decision method according to claim 2, characterized in that, The structural reinforcement measures include at least one of anti-slide piles, anchoring technology, retaining walls, and flexible protective nets.

4. The power transmission line landslide disaster susceptibility assessment and reinforcement measure decision method according to claim 3, characterized in that, The ecological slope protection measures include at least one of hydraulic spraying, geonet grass planting, honeycomb grid grass planting, thick substrate spraying, and mixed vegetation community configuration of trees, shrubs, and grasses.

5. The power transmission line landslide hazard susceptibility assessment and reinforcement measure decision method according to claim 4, characterized in that, The drainage measures include water interception ditches, drainage ditches, blind ditches, vertical drainage holes, and three-dimensional drainage systems formed by the same.

6. The power transmission line landslide hazard susceptibility assessment and reinforcement measure decision method according to claim 5, characterized in that, The rules for matching and generating targeted reinforcement scheme sets include: For regions with a susceptibility grade in the extremely high range, the generated scheme set is centered on structural reinforcement measures, and is associated with matched drainage measures; For regions with a susceptibility grade in the high range, the generated scheme set is a composite scheme of structural reinforcement measures and ecological slope protection measures; For regions with a susceptibility grade in the medium or low range, the generated scheme set is mainly composed of ecological slope protection measures and drainage measures.

7. The power transmission line landslide hazard susceptibility assessment and reinforcement measure decision method according to claim 6, characterized in that, For regions with a susceptibility grade in the extremely high range, the generated scheme set is centered on structural reinforcement measures, and is associated with matched drainage measures, including using the first combination of anti-slide piles, anchor lattice beams, and three-dimensional drainage systems for reinforcement, or using the second combination of retaining walls, slope reduction and surface drainage for reinforcement.

8. The power transmission line landslide hazard susceptibility assessment and reinforcement measure decision method according to claim 7, characterized in that, For regions with a susceptibility grade in the high range, the generated scheme set is a composite scheme of structural reinforcement measures and ecological slope protection measures, including using the third combination of retaining walls and lattice beam ecological slope protection for reinforcement, or using the fourth combination of anchor rod frame beam and ecological spraying for reinforcement.

9. The power transmission line landslide hazard susceptibility assessment and reinforcement measure decision method according to claim 8, characterized in that, The anti-slide piles include different engineering types of micro piles, row anti-slide piles, and pile plate anti-slide piles.

10. The power transmission line landslide hazard susceptibility assessment and reinforcement measure decision-making method according to claim 9, characterized in that, The anchoring technology includes anchor rods, anchor cables, and anchoring structures combined with lattice beams and retaining plates.

11. A power transmission line landslide disaster susceptibility evaluation and reinforcement measure decision, characterized by, It includes a data acquisition unit, a susceptibility evaluation unit, a main disaster-causing factor identification unit, a reinforcement measure knowledge base, and a scheme generation and matching unit; a data acquisition unit configured to obtain geological environment factor data of a plurality of evaluation units in a target power transmission channel, wherein the geological environment factor data comprises landform type, terrain slope, tectonic stability, geological rock group, vegetation coverage, and human activity influence; The vulnerability evaluation unit is configured to calculate a vulnerability index of each evaluation unit based on the information quantity model, and divide the target power transmission channel into vulnerability grades according to the vulnerability index, to generate a geological disaster vulnerability zoning map. The main disaster-causing factor identification unit is configured to analyze main geological environment factors contributing to the vulnerability index for each vulnerability grade area, and identify main disaster-causing factors of the area. The reinforcement measure knowledge base is configured to pre-store structural reinforcement measures, ecological slope protection measures, drainage measures, and combination schemes thereof. The scheme generation and matching unit is configured to match and generate one or more targeted reinforcement scheme sets from the reinforcement measure knowledge base based on the vulnerability grade area and the identified main disaster-causing factors.

12. A readable storage medium, storing a computer program, characterized in that, The computer program, when executed by the processor, causes the processor to perform the steps of the method according to any one of claims 1 to 10. 13.A computer device, comprising a memory and a processor, and characterized in that, The memory stores a computer program, and the computer program, when executed by the processor, causes the processor to perform the steps of the method according to any one of claims 1 to 10.

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