Debris flow disaster space-air-ground integrated road toughness evaluation method and system

Abstract

The invention discloses a debris flow disaster space-air-ground integrated road toughness evaluation method, which comprises the following steps of: detecting discrimination factors such as terrain, gradient and slope type of a road section by using an InSAR technology, and evaluating an air aspect toughness evaluation score according to a set grading standard; detecting discrimination factors such as collapse and landslide, water and soil loss and the like by using an unmanned aerial vehicle oblique photography technology, and evaluating a sky-aspect toughness evaluation score; detecting discrimination factors such as lithology and thickness of loose materials in a sand production area by using a ground penetrating radar technology, and evaluating a ground aspect toughness evaluation score; the comprehensive toughness evaluation value of the road is formed by superposing and calculating the toughness evaluation results of the air, the sky and the ground; and presenting the comprehensive toughness evaluation value in the form of a chart, a map or a visual interface. The method has the advantages that a scientific basis can be provided for road post-disaster repair and disaster prevention and control, and the method has high precision and application value.

Description

Technical Field

[0001] The present invention relates to the technical field of disaster prevention and control and infrastructure safety, and particularly relates to a method and system for evaluating the resilience of highways in a space-air-ground integrated manner against debris flow disasters. Background Art

[0002] Debris flow disasters are phenomena such as mountain landslides, collapses, and mudflows triggered by natural factors such as heavy rain, earthquakes, volcanic activities, or human activities. Their occurrence can cause serious damage to infrastructure such as highways, bridges, and buildings along the line, posing a huge threat to people's lives and property safety. Especially in mountainous and hilly areas, due to factors such as complex terrain, large precipitation, and loose soil, debris flow disasters occur frequently, greatly affecting the safety and traffic capacity of highways. Therefore, how to evaluate the resilience of highways in debris flow disasters, give early warnings, and carry out post-disaster repairs has become an important issue in the fields of transportation infrastructure management and disaster prevention and mitigation.

[0003] Existing debris flow disaster evaluation methods mostly adopt traditional ground surveys and manual sampling. The evaluation content mainly focuses on physical characteristics (such as slope, slope type, soil type, etc.) and historical data of disaster occurrences. Although they can provide certain references, these methods have the following problems:

[0004] 1. Limited data collection scope: The data collected by traditional ground survey methods can only cover a limited area, and usually require a large amount of manpower and material resources, making it difficult to efficiently and comprehensively evaluate the disaster risks of highway sections.

[0005] 2. Poor real-time performance: Traditional methods usually rely on manual sampling and post-analysis, and cannot obtain disaster information in real time, resulting in the inability to make timely responses and decisions during the occurrence of disasters.

[0006] 3. Low evaluation accuracy: Due to the subjectivity and regional differences of evaluation criteria, traditional risk assessment methods are difficult to accurately measure the specific resilience levels of different sections.

[0007] 4. Inability to comprehensively consider multiple factors: Traditional evaluation methods often only consider one aspect of factors (such as slope, soil type, etc.), lacking a comprehensive analysis of multiple factors such as terrain, climate, and geology, and it is difficult to accurately reflect the impact of complex debris flow disasters.

[0008] With the development of modern technologies such as remote sensing technology, unmanned aerial vehicle (UAV) technology, and ground penetrating radar technology, it has become possible to accurately obtain high-resolution ground and aerial data and conduct large-scale and real-time monitoring and analysis. The combination of these technologies provides new ideas and methods for debris flow disaster risk assessment. In particular, the application of InSAR (Interferometric Synthetic Aperture Radar) technology, UAV oblique photography technology, and ground penetrating radar technology can obtain a large amount of high-precision data without being restricted by terrain, providing more comprehensive and accurate support for highway resilience evaluation.

[0009] InSAR technology can be used for high-precision terrain change monitoring to identify potential risks of geological disasters such as slope deformation; UAV oblique photography technology can obtain aerial images of phenomena such as collapses, landslides, and soil erosion around highways, providing intuitive data on the sources and propagation paths of disasters; ground penetrating radar technology can penetrate the ground to detect geological conditions such as soil layer structure and thickness of loose materials, providing an important basis for the physical foundation of disaster occurrence. The combined application of these technologies can more scientifically, comprehensively, and accurately evaluate the resilience of highways in debris flow disasters, thus providing stronger support for disaster warning and repair work.

[0010] However, in the existing technologies, there is still a lack of a method that can make full use of space-air-ground integrated technologies to comprehensively evaluate the resilience of highways in debris flow disasters. Traditional debris flow disaster assessments often focus on single-factor analysis in a certain dimension and lack multi-technology integration and comprehensive evaluation. In this regard, there is an urgent need for a new method that can combine remote sensing, UAV, and ground detection technologies to conduct space-air-ground integrated highway resilience evaluation, which can not only meet the needs of comprehensive evaluation but also obtain data in different dimensions in real time, thereby improving the accuracy and practicality of the evaluation. Summary of the Invention

[0011] In view of the deficiencies of the existing technologies, the present invention provides a method and system for space-air-ground integrated highway resilience evaluation in debris flow disasters, which comprehensively and three-dimensionally evaluate the resilience of class highways when suffering from debris flow disasters by applying spaceborne synthetic aperture radar interferometry (InSAR) technology, UAV oblique photography technology, and ground penetrating radar technology.

[0012] To achieve the above invention purposes, the technical solutions adopted by the present invention are as follows:

[0013] A method for space-air-ground integrated highway resilience evaluation in debris flow disasters, comprising the following steps:

[0014] S1: Use InSAR technology to detect the terrain, slope, slope type, slope height, slope toe, and discriminant factors of slope deformation of a highway section, and evaluate the risk levels of each factor according to the set grading criteria to form an aerial resilience evaluation score;

[0015] S2: Use the drone oblique photography technology to detect the discriminant factors of collapse and landslide, soil erosion, debris flow accumulation at the gully mouth, vegetation coverage rate of the basin, and river channel blockage on the highway section, and evaluate the risk levels of each factor according to the set grading standards to form the sky aspect resilience evaluation score.

[0016] S3: Use the ground penetrating radar technology to detect the discriminant factors of lithology, average thickness of loose materials in the sediment-producing area, short axis length of voids, and depth of voids on the highway section, and evaluate the risk levels of each factor according to the set grading standards to form the ground aspect resilience evaluation score.

[0017] S4: According to the resilience evaluation results of the sky, space, and ground aspects, through superposition calculation, form the comprehensive resilience evaluation value of the classified highway under the influence of debris flow disasters.

[0018] S5: Present the comprehensive resilience evaluation value in the form of charts, maps, and visualization interfaces.

[0019] Further, step S1 includes the following sub-steps:

[0020] S11: Use InSAR technology to monitor the changes of factors such as terrain, slope, slope type, slope height, and slope foot of the classified highway section.

[0021] S12: Set grading standards according to different terrain factors, divide them into "favorable", "general", and "unfavorable" levels, and assign corresponding weights.

[0022] S13: Calculate the score of each factor, and calculate the sky aspect resilience score according to the scores of each factor. The formula is as follows:

[0023] R InSAR = 100 - ∑d i ×A

[0024] In the formula, R InSAR is the sky aspect resilience, d i is each discriminant factor, and A is the factor grading weight.

[0025] Further, step S2 includes the following sub-steps:

[0026] S21: Use the drone oblique photography technology to monitor in real time the factors of collapse and landslide, soil erosion, debris flow accumulation at the gully mouth, vegetation coverage rate of the basin, and river channel blockage on the classified highway section.

[0027] S22: Evaluate each factor according to different disaster degrees and risk levels, set the grading standards as "severe", "medium", and "slight", and assign corresponding weights.

[0028] S23: Calculate the scores of each factor, and calculate the sky aspect toughness score according to the scores of each factor. The formula is as follows:

[0029] R UAV = 100 - ∑d i ×A

[0030] In the formula, R UAV is the sky aspect toughness, d i is each discrimination factor, and A is the factor grading weight.

[0031] Furthermore, step S3 includes the following sub-steps:

[0032] S31: Use ground-penetrating radar technology to detect factors such as the lithology, thickness of loose materials in the sediment-producing area, short-axis length of voids, and depth of voids in the grade highway section;

[0033] S32: Set grading criteria according to different geological conditions, divide them into three grades: "slight", "medium", and "severe", and assign corresponding weights;

[0034] S33: Calculate the scores of each factor, and calculate the ground aspect toughness score according to the scores of each factor. The formula is as follows:

[0035] R GPR = 100 - ∑d i ×A

[0036] In the formula, R GPR is the ground aspect toughness, d i is each discrimination factor, and A is the factor grading weight.

[0037] Furthermore, step S4 includes the following sub-steps:

[0038] S41: Perform superposition calculation on the evaluation results of ground aspect toughness R InSAR , sky aspect toughness R UAV and ground aspect toughness R GPR to obtain the comprehensive toughness evaluation result R;

[0039] S42: The comprehensive toughness evaluation formula is:

[0040] R = R InSAR + R UAV + R GPR

[0041] Among them, R InSAR is the evaluation score of ground aspect toughness, R UAV is the evaluation score of sky aspect toughness, and R GPR is the evaluation score of ground aspect toughness.

[0042] Preferably, the weight coefficients for the toughness evaluations of the air aspect, sky aspect, and ground aspect are 0.3, 0.5, and 0.8 respectively.

[0043] The present invention also discloses a space-air-ground integrated highway toughness evaluation system for debris flow disasters, which can be used to implement the above-mentioned space-air-ground integrated highway toughness evaluation method for debris flow disasters. Specifically, it includes:

[0044] Data acquisition module: used to obtain InSAR data, UAV image data, and ground penetrating radar data of the classified highway sections;

[0045] Data processing and analysis module: According to the terrain and deformation data obtained from the InSAR data, apply the set classification criteria to evaluate the risk levels of each factor, and form the toughness evaluation score of the air aspect.

[0046] Based on the data including collapse and landslide, soil erosion, and vegetation coverage obtained from the UAV image data, evaluate each discriminant factor according to the set standards, and form the toughness evaluation score of the sky aspect.

[0047] Use the data including lithology and thickness of loose materials obtained from the ground penetrating radar data to conduct factor evaluation and obtain the toughness evaluation score of the ground aspect.

[0048] Comprehensive toughness evaluation module: According to the toughness evaluation scores of the air, sky, and ground aspects, through superposition calculation, generate the comprehensive toughness evaluation value of the classified highway under the influence of debris flow disasters.

[0049] Result presentation module, including the following sub-modules:

[0050] Chart presentation module: Present the comprehensive toughness evaluation results in the form of a bar chart or line chart, and display the risk levels of each discriminant factor and the total score.

[0051] Map presentation module: Present the evaluation results in the form of a map on the GIS platform, and use different colors and markings to indicate different toughness level areas.

[0052] Visualization interface module: Provide an interactive visualization interface, and users can dynamically view various parameters and toughness evaluation results.

[0053] Report generation module: Generate an analysis report, combined with charts and text descriptions, to provide comprehensive evaluation information and post-disaster repair suggestions for decision-makers.

[0054] The present invention also discloses a computer device, including a memory, a processor, and a computer program stored on the memory and executable on the processor. When the processor executes the program, it implements the above-mentioned space-air-ground integrated highway toughness evaluation method for debris flow disasters.

[0055] The present invention also discloses a computer-readable storage medium, on which a computer program is stored, and when the program is executed by a processor, the above-mentioned integrated space-air-ground highway resilience evaluation method for debris flow disasters is realized.

[0056] Compared with the prior art, the advantages of the present invention are as follows:

[0057] 1. By combining spaceborne InSAR technology, UAV oblique photography technology and ground penetrating radar technology, the present invention conducts multi-dimensional and three-dimensional evaluation of the resilience of highways affected by debris flow disasters, can comprehensively reflect the performance and resistance ability of highways in debris flow disasters, and avoids the limitations that may exist in single technology.

[0058] 2. The InSAR technology can be used to conduct large-scale and long-term ground deformation monitoring, providing accurate terrain change data; the UAV oblique photography technology can efficiently obtain detailed image information of the post-disaster site; the ground penetrating radar technology can deeply detect hidden diseases under the road surface, ensuring the accuracy and reliability of the resilience evaluation.

[0059] 3. Through the application of UAVs and remote sensing technology, the present invention can greatly improve the efficiency of the evaluation work, reduce the large-scale on-site investigation work that needs to be carried out manually in traditional methods, and at the same time reduce the evaluation cost.

[0060] 4. The method of the present invention is applicable to various terrain and climate conditions, can play a role in different post-disaster environments, especially in mountainous areas and disaster-prone areas that are difficult to access, to ensure the rapid evaluation and repair of post-disaster road sections.

[0061] 5. Through the presentation of the comprehensive resilience evaluation results, it can provide a scientific basis and decision-making support for post-disaster highway emergency repair, rapid construction and route selection, etc., help improve the efficiency of post-disaster emergency response, and provide a reference for the prevention and response to future similar disasters. The present invention has broad application prospects and can be popularized and applied in multiple fields such as transportation, disaster relief, and infrastructure protection. Description of the Drawings

[0062] Figure 1 is a flow chart of the integrated space-air-ground highway resilience evaluation method for debris flow disasters in an embodiment of the present invention. Detailed Embodiments

[0063] In order to make the objectives, technical solutions and advantages of the present invention clearer and more understandable, the following further elaborates on the present invention in detail according to the drawings and by way of examples.

[0064] As Figure 1 shown, the present invention provides an integrated space-air-ground highway resilience evaluation method for debris flow disasters, including the following steps:

[0065] S1: Use InSAR technology to detect the terrain, slope, slope type, slope height, toe of slope, and discriminant factors of slope deformation of highway sections, and evaluate the risk levels of each factor according to the set grading standards to form the "air" aspect toughness evaluation score.

[0066] The "air" toughness evaluation of class highways refers to spaceborne synthetic aperture radar interferometry (InSAR) technology, which is a radar technology used for geodesy and remote sensing. InSAR uses two or more synthetic aperture radar (SAR) images and utilizes the phase differences of the waves returning to the satellite to calculate the terrain, landforms, and minute changes on the surface of the target area. This technology can potentially measure millimeter-level deformations over spans from several days to several years.

[0067] Different from visible light or infrared light, radar waves can penetrate most clouds, fog, and smoke to observe surface objects and are equally effective in the dark. Therefore, with the help of InSAR, surface deformations can be monitored even in adverse weather and at night. In addition, the advantages of InSAR such as all-weather, all-time, high resolution, high precision, and wide range not only play a very good complementary role to visible light and near-infrared passive remote sensing technologies.

[0068] Due to its technical advantages such as wide range, high precision, and all-weather, spaceborne InSAR technology is very effective in monitoring debris flow disasters, especially when the landslide area is very large. GPS and other technologies can also be used for measurement, but only at a limited number of discrete points and are very expensive. Radar images can well monitor the moving areas and can provide continuous measurement results as long as there are images. Using InSAR technology can realize the "air" technical toughness evaluation of class highways facing debris flow disasters. The specific detection discriminant factors and grading standards are shown in the table.

[0069] Table 1 "Air" toughness evaluation of class highways

[0070]

[0071]

[0072] To sum up, based on InSAR technology, the "air" aspect section toughness evaluation data of class highways after suffering debris flow disasters can be obtained, and the section toughness can be graded and evaluated according to the grading standards. The higher the toughness, the stronger the traffic capacity that the section can bear. In this paper, the full score of the "air" aspect toughness is set at 100 points, and the score assigned to each discriminant factor is 25 points. The discriminant factor situations are comprehensively judged. The score weight of the "unfavorable" level is 0.8, the score weight of the "general" level is 0.5, and the score weight of the "favorable" level is 0.3.

[0073] R InSAR = 100 - ∑di ×A

[0074] where R InSAR is the aerial aspect toughness, d i are the discrimination factors, and A is the factor grading weight.

[0075] S2: Use the drone oblique photography technology to detect the discrimination factors of collapse and landslide, soil erosion, debris flow accumulation at the gully mouth, basin vegetation coverage rate, and river channel blockage of the highway section, and evaluate the risk levels of each factor according to the set grading standards to form the aerial aspect toughness evaluation score;

[0076] The "aerial" toughness evaluation of the classified highway refers to the evaluation method of the section toughness using various drone oblique photography technologies. The principle of drone oblique photography is that the main optical axis of the camera significantly deviates from the plumb line or the horizontal direction and conducts photography at a certain tilt angle. The oblique photography device is installed on small drone equipment such as rotorcraft, including multiple (usually 5) high-spatial-resolution area array digital cameras. These cameras are installed on the aerial photography stable platform at a certain angle (the tilt angle is between 15° and 45°), and the photography data is processed and analyzed through the drone aerial survey system to obtain the relevant situation of the measured object.

[0077] Using drones to detect and evaluate the post-disaster resilience of classified highways to debris flows has the advantages of high efficiency, high precision, low cost, flexible operation, rich data, and strong scalability. Its advantages should be fully utilized to further detect the damage situation of the section. Using the drone oblique photography technology can realize the "aerial" technical toughness evaluation of the classified highway facing debris flow disasters. The specific detection discrimination factors and grading standards are shown in the table.

[0078] Table 2 "Aerial" Toughness Evaluation of Classified Highways

[0079]

[0080]

[0081] In summary, based on the drone oblique photography technology, the "aerial" aspect section toughness evaluation data of the classified highway after suffering from debris flow disasters can be obtained, and the section toughness can be graded and evaluated according to the grading standards. The higher the toughness, the stronger the traffic capacity that the section can withstand. In this paper, the full score of the "aerial" aspect toughness is set at 100 points, the score assigned to each discrimination factor is 25 points, and the discrimination factor situation is comprehensively judged. The score weight for the "severe" level is 0.8, the score weight for the "medium" level is 0.5, and the score weight for the "slight" level is 0.3.

[0082] R UAV = 100 - ∑d i ×A

[0083] Where R UAV is the toughness of the "ground" aspect, d i are the discriminant factors, and A is the grading weight of the factors.

[0084] S3: Use ground penetrating radar technology to detect the discriminant factors of the lithology, average thickness of loose materials in the sediment-producing area, short axis length of voids, and depth of voids of a highway section, and evaluate the risk levels of each factor according to the set grading standards to form the evaluation score of the "ground" aspect toughness;

[0085] The evaluation method of the "ground" toughness of a classified highway refers to the method of evaluating the toughness of a section using various ground penetrating radar technologies. Ground penetrating radar is a non-destructive detection technology that uses high-frequency electromagnetic waves to detect the distribution of underground media. Ground penetrating radar emits high-frequency electromagnetic waves into the ground through a transmitting antenna. These electromagnetic waves propagate in the underground media. When encountering the interface of different media, part of the electromagnetic waves will be reflected back. The receiving antenna receives these reflected electromagnetic wave signals and converts them into analyzable data. By processing these data, an image of the underground structure can be constructed, thereby revealing the position and characteristics of underground objects.

[0086] Using ground penetrating radar to detect and evaluate the post-disaster resilience of a classified highway to debris flow has the advantages of high efficiency, non-destructiveness, high precision, and strong anti-interference ability. Its advantages should be fully utilized to further detect the hidden diseases of the section. Using ground penetrating radar technology can realize the evaluation of the "ground" technical toughness of a classified highway facing debris flow disasters. The specific detection discriminant factors and grading standards are shown in the table.

[0087] Table 3 Evaluation of the "ground" toughness of a classified highway

[0088]

[0089] To sum up, based on ground penetrating radar technology, the evaluation data of the "ground" aspect toughness of a classified highway after suffering from debris flow disasters can be obtained, and the toughness of the section can be graded and evaluated according to the grading standards. The higher the toughness, the stronger the traffic capacity that the section can withstand. In this paper, the full score of the "ground" aspect toughness is set at 100 points, the score assigned to each discriminant factor is 25 points, and the discriminant factors are comprehensively judged. The score weight for the "severe" level is 0.8, the score weight for the "medium" level is 0.5, and the score weight for the "slight" level is 0.3.

[0090] R GPR = 100 - ∑d i ×a

[0091] Where R GPR is the toughness of the "ground" aspect, d i are the discriminant factors, and A is the grading weight of the factors.

[0092] S4: Based on the resilience evaluation results in the three aspects of air, space, and ground, through superposition calculation, a comprehensive resilience evaluation value of the graded highway under the influence of debris flow disasters is formed.

[0093] The calculation method is as follows:

[0094] R = R InSAR + R UAV + R GPR

[0095] S5: Present the comprehensive resilience evaluation value in the form of charts, maps, and visualization interfaces.

[0096] In another embodiment of the present invention, a space-air-ground integrated highway resilience evaluation system for debris flow disasters is provided. This system can be used to implement the above-mentioned space-air-ground integrated highway resilience evaluation method for debris flow disasters. Specifically, it includes:

[0097] Data acquisition module: Used to obtain InSAR data, UAV image data, and ground penetrating radar data of graded highway sections;

[0098] Data processing and analysis module: According to the terrain and deformation data obtained from InSAR data, apply the set grading criteria to evaluate the risk levels of each factor, and form the resilience evaluation score for the air aspect.

[0099] Based on the data including collapse and landslide, soil erosion, and vegetation cover obtained from UAV image data, evaluate each discriminant factor according to the set standards, and form the resilience evaluation score for the space aspect.

[0100] Use the data including lithology and loose material thickness obtained from ground penetrating radar data to conduct factor evaluation and obtain the resilience evaluation score for the ground aspect.

[0101] Comprehensive resilience evaluation module: According to the resilience evaluation scores in the three aspects of air, space, and ground, through superposition calculation, generate a comprehensive resilience evaluation value of the graded highway under the influence of debris flow disasters.

[0102] Result presentation module, including the following sub-modules:

[0103] Chart presentation module: Present the comprehensive resilience evaluation results in the form of bar charts or line charts, and display the risk levels of each discriminant factor and the total score.

[0104] Map presentation module: Present the evaluation results in the form of a map on a GIS platform, and use different colors and markings to indicate different resilience level areas.

[0105] Visualization interface module: Provide an interactive visualization interface, and users can dynamically view various parameters and resilience evaluation results.

[0106] Report generation module: Generates an analysis report, combines charts and written explanations, and provides comprehensive evaluation information and post-disaster restoration suggestions for decision-makers.

[0107] In another embodiment of the present invention, a terminal device is provided. The terminal device includes a processor and a memory. The memory is used to store a computer program. The computer program includes program instructions. The processor is used to execute the program instructions stored in the computer storage medium. The processor may be a Central Processing Unit (CPU), or it may also be other general-purpose processors, Digital Signal Processors (DSPs), Application Specific Integrated Circuits (ASICs), Field-Programmable Gate Arrays (FPGAs), or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, etc. It is the computing core and control core of the terminal, and is suitable for implementing one or more instructions. Specifically, it is suitable for loading and executing one or more instructions to implement the corresponding method flow or corresponding function. The processor described in the embodiment of the present invention can be used for the operation of the method for evaluating the resilience of roads in the integrated space-air-ground of debris flow disasters.

[0108] In another embodiment of the present invention, a storage medium is provided, specifically a computer-readable storage medium (Memory). The computer-readable storage medium is the memory device in the terminal device and is used to store programs and data. It can be understood that the computer-readable storage medium here can include both the built-in storage medium in the terminal device and, of course, the extended storage medium supported by the terminal device. The computer-readable storage medium provides a storage space, and the operating system of the terminal is stored in this storage space. And, one or more instructions suitable for being loaded and executed by the processor are also stored in this storage space. These instructions can be one or more computer programs (including program codes). It should be noted that the computer-readable storage medium here can be a high-speed RAM memory or a non-volatile memory, such as at least one disk memory.

[0109] One or more instructions stored in the computer-readable storage medium can be loaded and executed by the processor to implement the corresponding steps of the method for evaluating the resilience of roads in the integrated space-air-ground of debris flow disasters in the above embodiments; one or more instructions in the computer-readable storage medium are loaded and executed by the processor.

[0110] Those skilled in the art should understand that the embodiments of the present invention can be provided as a method, a system, or a computer program product. Therefore, the present invention can take the form of a complete hardware embodiment, a complete software embodiment, or an embodiment combining software and hardware aspects. Moreover, the present invention can take the form of a computer program product implemented on one or more computer-usable storage media (including but not limited to disk memory, CD-ROM, optical memory, etc.) that contain computer-usable program code.

[0111] The present invention is described with reference to the flowcharts and / or block diagrams of methods, apparatuses (systems), and computer program products according to embodiments of the present invention. It should be understood that each flow and / or block in the flowchart and / or block diagram, and the combination of flows and / or blocks in the flowchart and / or block diagram, can be realized by computer program instructions. These computer program instructions can be provided to the processor of a general-purpose computer, a special-purpose computer, an embedded processor, or other programmable data processing devices to generate a machine, such that the instructions executed by the processor of the computer or other programmable data processing devices generate means for realizing the functions specified in Figure 1 one flow or multiple flows and / or blocks Figure 1 one block or multiple blocks.

[0112] These computer program instructions can also be stored in a computer-readable memory that can direct a computer or other programmable data processing devices to work in a specific manner, such that the instructions stored in the computer-readable memory generate a manufactured article including instruction means that realizes the functions specified in Figure 1 one flow or multiple flows and / or blocks Figure 1 one block or multiple blocks.

[0113] These computer program instructions can also be loaded onto a computer or other programmable data processing devices, such that a series of operation steps are executed on the computer or other programmable devices to generate a computer-implemented process, and thus the instructions executed on the computer or other programmable devices provide steps for realizing the functions specified in Figure 1 one flow or multiple flows and / or blocks Figure 1 one block or multiple blocks.

[0114] Those of ordinary skill in the art will realize that the embodiments described herein are for helping readers understand the implementation methods of the present invention, and it should be understood that the protection scope of the present invention is not limited to such specific statements and embodiments. Those of ordinary skill in the art can make various other specific deformations and combinations that do not depart from the essence of the present invention based on the technical revelations disclosed in the present invention, and these deformations and combinations are still within the protection scope of the present invention.

Claims

1. A method for evaluating the resilience of a highway in the air, ground and space integrated manner for debris flow disasters, characterized in that , including the following steps: S1: Use InSAR technology to detect the terrain, slope, slope type, slope height, slope foot and slope deformation discrimination factors of the highway section, and assess the risk level of each factor according to the set classification standards to form a spatial toughness evaluation score; S2: Use drone oblique photography technology to detect the discriminant factors of collapse and landslide, soil erosion, mud and rock flow accumulation at the mouth of the ditch, vegetation coverage in the watershed, and ditch blockage on the highway section, and assess the risk level of each factor according to the set classification standards to form a daily resilience evaluation score; S3: Use ground penetrating radar technology to detect the lithology of the highway section, the average thickness of loose materials in the sand-producing area, the length of the short axis of the void, and the depth of the void. According to the set classification standards, the risk level of each factor is evaluated to form a ground toughness evaluation score; S4: Based on the resilience evaluation results of the three aspects of air, sky and ground, the comprehensive resilience evaluation value of the grade highway under the influence of debris flow disaster is formed through superposition calculation; S5: Present the comprehensive resilience evaluation value in the form of charts, maps, and visual interfaces.

2. The air-ground-ground integrated highway resilience evaluation method for debris flow disasters according to claim 1 is characterized in that: Step S1 includes the following sub-steps: S11: Use InSAR technology to monitor the changes in terrain, slope, slope type, slope height, and slope foot factors of graded highway sections; S12: Set classification standards based on different terrain factors, divide them into "favorable", "normal" and "unfavorable" levels, and give corresponding weights; S13: Calculate the score of each factor, and calculate the spatial toughness score based on the score of each factor. The formula is as follows: R InSAR =100-∑d i ×A In the formula, R InSAR For the empty aspect toughness, d i are the discriminant factors, and A is the factor classification weight.

3. The air-ground-ground integrated highway resilience evaluation method for debris flow disasters according to claim 1 is characterized in that: Step S2 includes the following sub-steps: S21: Use drone oblique photography technology to conduct real-time monitoring of landslides, soil erosion, mud-rock flow accumulation at the mouth of the ditch, vegetation coverage in the watershed, and factors of river blockage on grade highway sections; S22: Evaluate each factor according to different disaster degrees and risk levels, set the classification standards as "serious", "moderate" and "minor", and give corresponding weights; S23: Calculate the score of each factor, and calculate the daily resilience score based on the score of each factor. The formula is as follows: R UAV =100-∑d i ×A In the formula, R UAV For the day aspect toughness, d i are the discriminant factors, and A is the factor classification weight.

4. The air-ground-ground integrated highway resilience evaluation method for debris flow disasters according to claim 1 is characterized in that: Step S3 includes the following sub-steps: S31: Use ground penetrating radar technology to detect factors such as lithology, thickness of loose materials in sand-producing areas, length of the short axis of the void, and depth of the void in graded highway sections; S32: Set classification standards according to different geological conditions, divide them into three levels: "mild", "moderate" and "severe", and give corresponding weights; S33: Calculate the score of each factor, and calculate the resilience score of the ground according to the score of each factor; the formula is as follows: R GPR =100-∑d i ×a In the formula, R GPR For the empty aspect toughness, d i are the discriminant factors, and A is the factor classification weight.

5. The air-ground-ground integrated highway resilience evaluation method for debris flow disasters according to claim 1 is characterized in that: Step S4 includes the following sub-steps: S41: Evaluation results of air toughness R InSAR , Day toughness evaluation results R UAV Evaluation results of ground toughness R GPR Perform superposition calculation to obtain the comprehensive toughness evaluation result R; S42: Comprehensive toughness evaluation formula is: R=R InSAR +R UAV +R GPR Among them, R InSAR is the resilience evaluation score of the null aspect, R UAV is the toughness evaluation score of the day, R GPR It is the ground toughness evaluation score.

6. The air-ground-ground integrated highway resilience evaluation method for debris flow disasters according to any one of claims 2 to 5, characterized in that: The weight coefficients of the toughness evaluation in the air, sky and ground aspects are 0.3, 0.5 and 0.8 respectively.

7. A debris flow disaster air-ground integrated highway resilience evaluation system, characterized by: The system can be used to implement the air-ground-ground integrated highway resilience evaluation method for debris flow disasters as described in any one of claims 1 to 5, specifically including: Data acquisition module: used to obtain InSAR data, UAV image data and ground penetrating radar data of grade highway sections; Data processing and analysis module: Based on the terrain and deformation data obtained from InSAR data, the risk level of each factor is assessed using the set classification standards to form an air toughness evaluation score; Based on the UAV image data, the data on collapse and landslide, soil erosion and vegetation coverage are obtained. Each discriminant factor is evaluated according to the set standards to form a daily resilience evaluation score. The ground penetrating radar data, including lithology and loose material thickness data, are used to evaluate factors and obtain the ground toughness evaluation score; Comprehensive resilience evaluation module: Based on the resilience evaluation scores of air, sky and ground, the comprehensive resilience evaluation value of graded highways under the influence of debris flow disasters is generated through superposition calculation; The result presentation module includes the following sub-modules: Chart presentation module: presents the comprehensive resilience evaluation results in the form of a bar chart or line chart, showing the risk level of each discriminant factor and the total score; Map presentation module: presents the assessment results in the form of a map on the GIS platform, using different colors and symbols to mark areas with different resilience levels; Visualization interface module: provides an interactive visualization interface, where users can dynamically view various parameters and toughness evaluation results; Report generation module: Generates analysis reports, combined with charts and text descriptions, to provide decision makers with comprehensive assessment information and post-disaster restoration suggestions.

8. A computer device, characterized in that: The invention comprises a memory, a processor and a computer program stored in the memory and executable on the processor. When the processor executes the program, the air-ground-space integrated highway resilience evaluation method for debris flow disasters as claimed in one of claims 1 to 5 is implemented.

9. A computer-readable storage medium, characterized in that: A computer program is stored thereon, and when the program is executed by a processor, the air-ground-space integrated highway resilience evaluation method for debris flow disasters as described in one of claims 1 to 5 is implemented.

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