A mountainous road resilience comprehensive evaluation method and device based on a two-dimensional cloud model

Abstract

The present application relates to the field of highway system, specifically relates to a mountainous area highway resilience comprehensive evaluation method and device based on two-dimensional cloud model, the method comprises the following steps: S1, based on the scoring result of resistance dimension and the scoring result of recovery dimension, the weight of mountainous area trunk highway resilience evaluation index is obtained by using entropy weight method;S2, based on the weight of the mountainous area trunk highway resilience evaluation index, a two-dimensional cloud model is constructed, and the comprehensive resilience of the mountainous area trunk highway is evaluated through the two-dimensional cloud model, and the resilience evaluation grade is obtained;Compared with the prior art, the resilience comprehensive evaluation based on the two-dimensional cloud model constructed by the resistance dimension and the recovery dimension can compare the comprehensive level of the resilience of different highways, and the resilience improvement resources are preferentially allocated to the mountainous area trunk highway with low comprehensive resilience grade and urgent need for improvement;The comprehensive evaluation can also evaluate the resilience of the highway from the time dimension, and obtain the improvement of the resilience of the highway with the time advancing.

Description

Technical Field

[0001] The present invention relates to the field of highway systems, and in particular to a method and device for comprehensively evaluating the toughness of mountain highways based on a two-dimensional cloud model. Background Art

[0002] Prior art discloses a method, system, device, and medium for evaluating the resilience of highway infrastructure (publication number: CN119130205A). These methods include: analyzing the infrastructure resilience of the highway to be evaluated based on the highway life cycle theory; constructing a highway infrastructure resilience evaluation index system based on the analysis results; the system includes several criterion-level indicators, including pre-disaster warning indicators, disaster protection indicators, and disaster recovery indicators, each of which includes several sub-category indicators; performing a weighted calculation on each indicator in the system using the fuzzy analytic hierarchy process to obtain weighted data for each indicator; and calculating a comprehensive evaluation result for the highway to be evaluated based on the weighted data for each indicator. The technical solution described in this invention can address subjectivity and facilitate a comprehensive understanding of the resilience level of highway infrastructure.

[0003] The existing technology performs weighted calculation on each indicator in the highway traffic infrastructure resilience evaluation index system based on the fuzzy hierarchical analysis method to obtain a comprehensive evaluation of the highway, but lacks a comprehensive evaluation of highway resilience in the resistance dimension and the recovery dimension. Summary of the Invention

[0004] The purpose of the present invention is to solve the problem in the prior art of lack of comprehensive evaluation of road resilience in the resistance dimension and recovery dimension, and to provide a method and device for comprehensive evaluation of mountain road resilience based on a two-dimensional cloud model.

[0005] In a first aspect, the present invention provides a comprehensive assessment method for mountain highway resilience based on a two-dimensional cloud model, comprising:

[0006] S1. Based on the scoring results of the resistance dimension and the recovery dimension, the entropy weight method is used to obtain the weights of the resilience evaluation indicators of mountain trunk roads;

[0007] S2. Construct a two-dimensional cloud model based on the weights of the resilience assessment indicators of the mountain trunk highway, and evaluate the comprehensive resilience of the mountain trunk highway through the two-dimensional cloud model to obtain a resilience assessment grade.

[0008] Among them, the present invention obtains the resilience assessment level by constructing a two-dimensional cloud model, realizes the comprehensive assessment of the resilience of mountain trunk roads, and preferentially allocates resources for resilience improvement to mountain trunk roads with low comprehensive resilience levels and urgent need of improvement; the comprehensive assessment can also conduct a longitudinal comprehensive resilience assessment of the highway from the time dimension, and obtain an indication of the improvement of highway resilience over time.

[0009] Preferably, before S1, the toughness assessment index needs to be scored in the resistance dimension and the recovery dimension to obtain a scoring result of the resistance dimension and a scoring result of the recovery dimension.

[0010] Preferably, the step S1 includes calculating the scoring result of the defense dimension and the scoring result of the recovery dimension using an entropy weight method to obtain an information entropy value of the defense dimension and an information entropy value of the recovery dimension;

[0011] The weight of the resilience evaluation index of the resistance dimension is proportional to the information entropy value of the resistance dimension;

[0012] The weight of the resilience evaluation index of the recovery dimension is proportional to the information entropy value of the recovery dimension.

[0013] Preferably, the S2 includes:

[0014] S21. Calculate the numerical features of the resilience assessment indicator in the defense dimension and the numerical features of the recovery dimension, and construct a defense cloud and a recovery cloud of the resilience assessment indicator;

[0015] S22. Based on the defense cloud and the recovery cloud, calculate and obtain a digital feature of the defense dimension and a digital feature of the recovery dimension for comprehensive evaluation;

[0016] S23. Inputting the digital features of the comprehensive evaluation in the resistance dimension and the digital features of the recovery dimension into a forward cloud generator to obtain a comprehensive evaluation cloud map of the resilience of mountain trunk roads;

[0017] S24. Obtain the toughness assessment grade by calculating the closeness of the comprehensive evaluation cloud map.

[0018] Further preferably, the digital features of the resistance dimension and the digital features of the recovery dimension of the comprehensive evaluation calculated in S22 also need to be based on the digital features of the resistance dimension and the recovery dimension of the element layer of the two-dimensional cloud model.

[0019] Further preferably, the element layers in the two-dimensional cloud model include disaster-prone environment, inducing conditions, highway unit stability, road section reliability, early warning capability, emergency management capability and learning and adaptability.

[0020] Further preferably, the closeness of the comprehensive evaluation cloud map of the toughness of the mountain trunk road in S24 is specifically the distance between the comprehensive evaluation cloud map of the toughness of the mountain trunk road and the four-level standard clouds, and the calculation process is as follows:

[0021]

[0022] Where:

[0023] is the distance between the comprehensive evaluation cloud map and the four grade standard clouds;

[0024] The expectations of the comprehensive evaluation cloud map in the resistance dimension;

[0025] The expectation of the comprehensive evaluation cloud map in the recovery dimension;

[0026] The four levels of standards provide expectations in the resilience dimension;

[0027] The standards for the four levels outline expectations in the recovery dimensions.

[0028] Further preferably, the four-level standard cloud is obtained based on the scores of the resistance dimension and the recovery dimension in existing resilience literature and resilience standard documents;

[0029] The four levels of standard cloud include low-level standard cloud, lower-level standard cloud, medium-level standard cloud and high-level standard cloud;

[0030] The scoring range of the low-level standard cloud is [0, 2.5);

[0031] The score range of the lower-level standard cloud is [2.5, 5);

[0032] The scoring range of the medium-level standard cloud is (5, 7.5];

[0033] The scoring range of the high-level standard cloud is (7.5, 10].

[0034] Further preferably, the calculation process of the toughness assessment grade is as follows:

[0035]

[0036] Where:

[0037] is the minimum value of the distance between the comprehensive evaluation cloud map and the four level standard clouds;

[0038] is the distance between the comprehensive evaluation cloud map and the low-level standard cloud;

[0039] is the distance between the comprehensive evaluation cloud map and the lower-level standard cloud;

[0040] is the distance between the comprehensive evaluation cloud map and the medium-level standard cloud;

[0041] is the distance between the comprehensive evaluation cloud map and the high-level standard cloud.

[0042] On the other hand, the present invention provides a comprehensive assessment device for the resilience of mountain roads based on a two-dimensional cloud model, comprising at least one processor and a memory communicatively connected to the at least one processor; the memory stores instructions that can be executed by the at least one processor, and the instructions are executed by the at least one processor so that the at least one processor can execute any one of the methods described above.

[0043] Compared with the prior art, the present invention has the following beneficial effects:

[0044] 1. Compared with the existing technology, the present invention adopts a comprehensive resilience assessment based on a two-dimensional cloud model constructed based on the resistance dimension and the recovery dimension, which can compare the comprehensive resilience levels of different highways and give priority to allocating resources for improving resilience to mountain trunk highways with low comprehensive resilience levels and in urgent need of improvement; the comprehensive assessment can also conduct a longitudinal comprehensive resilience assessment of highways from the time dimension, and obtain an indication of the improvement of highway resilience over time. BRIEF DESCRIPTION OF THE DRAWINGS

[0045] Figure 1 This is a flowchart of a comprehensive assessment method for mountain highway resilience based on a two-dimensional cloud model in Example 1;

[0046] Figure 2 This is a cloud map of the toughness evaluation standard for mountain trunk roads in Example 1;

[0047] Figure 3 This is a schematic diagram of a comprehensive assessment device for mountain road toughness based on a two-dimensional cloud model in Example 2. DETAILED DESCRIPTION

[0048] The present invention will be further described in detail below with reference to specific embodiments. However, this should not be construed as limiting the scope of the present invention to the following embodiments, as all technologies implemented based on the present invention fall within the scope of the present invention.

[0049] Unless otherwise specified, in the description of the specific embodiments of the present invention, the terms indicating the orientation or positional relationship, such as "upper", "lower", "left", "right", "center", "inside", and "outside", are based on the expressions of the orientation or positional relationship shown in the accompanying drawings, or are the orientation or positional relationship in which the invented product / device / apparatus is placed when it is conventionally used. These terms of orientation or positional relationship are merely for the purpose of facilitating the description of the scheme of the present invention or simplifying the description of the specific embodiments to facilitate the rapid understanding of the scheme by technicians, and do not indicate or imply that a specific device / component / element must have a specific orientation, or be constructed and operated in a specific positional relationship, and therefore should not be understood as limiting the present invention.

[0050] In addition, if the terms "horizontal", "vertical", "overhanging", "parallel" and the like appear, it does not mean that the corresponding devices / components / elements are required to be absolutely horizontal or vertical or overhanging or parallel, but may be slightly tilted or have deviations. For example, "horizontal" only means that its direction is more horizontal relative to "vertical", and does not mean that the structure must be completely horizontal, but may be slightly tilted. Alternatively, it can be simply understood that the corresponding devices / components / elements are set in directions such as "horizontal", "vertical", "overhanging", and "parallel", and can have an error / deviation of ±10% relative to the corresponding direction setting, more preferably an error / deviation within ±8%, more preferably an error / deviation within ±6%, more preferably an error / deviation within ±5%, and more preferably an error / deviation within ±4%. As long as the corresponding device / component / element is within the error / deviation range, it can still achieve its role in the solution of the present invention.

[0051] In addition, the expressions “first”, “second”, “third”, etc. in the terms are merely used to distinguish the description of the same or similar components, and should not be understood as emphasizing or implying the relative importance of specific components.

[0052] In addition, in the description of the embodiments of the present invention, "several," "plurality," and "a number" represent at least two. It can also be any number such as two, three, four, five, six, seven, eight, nine, or even more than nine.

[0053] Furthermore, in the description of the technical solution of the present invention, unless otherwise expressly specified, defined, or limited, the terms "disposed," "installed," "connected," "connected," "provided with," "laid," and "arranged" should be understood broadly. For example, they may refer to fixed connections, detachable connections, or integral connections. They may include welding, riveting, bolting, threading, and other commonly used connection methods in the field of highway systems. Such connections may be mechanical, electrical, or communication; they may be direct, indirect via an intermediate medium, or internal communication between two components.

[0054] Example 1

[0055] This embodiment provides a comprehensive assessment method for mountain road resilience based on a two-dimensional cloud model. The flowchart is as follows: Figure 1 Shown, including:

[0056] S1. Based on the scoring results of the resistance dimension and the recovery dimension, the entropy weight method is used to obtain the weights of the resilience evaluation indicators of mountain trunk roads;

[0057] S2. Construct a two-dimensional cloud model based on the weights of the resilience assessment indicators of the mountain trunk highway, and evaluate the comprehensive resilience of the mountain trunk highway through the two-dimensional cloud model to obtain a resilience assessment grade.

[0058] Before S1, it is also necessary to score the resilience assessment indicators in the resistance dimension and the recovery dimension to obtain the scoring results of the resistance dimension and the recovery dimension; the scoring method of this embodiment is expert scoring, and the indicator weights are determined by expert scoring. Six experts who are familiar with mountainous environments, have participated in highway projects throughout the process, and have rich experience were invited to form an expert group to score the capabilities of 29 resilience assessment indicators in the two dimensions of resistance and recovery. The score range is 1-5 points, where 1-5 points represent five levels of "low, lower, medium, higher, and high". The higher the score, the stronger the resistance or recovery ability of the highway project indicator.

[0059] Entropy values ​​are used to determine the degree of dispersion in expert scores for each highway resilience indicator. The greater the information entropy value of an evaluation indicator, the greater the degree of dispersion, the greater its impact on the comprehensive assessment of resilience for mountain trunk roads, and the greater the indicator's weight. Conversely, the smaller the information entropy value of an indicator, the less impact it has on the comprehensive assessment of resilience, and the smaller the indicator's weight.

[0060] The calculation process is as follows:

[0061]

[0062] Where:

[0063] The j index of the i factor, i = 1, 2, 3, 4, 5, 6, 7, respectively representing the disaster-prone environment, inducing conditions, road unit stability, road section reliability, early warning capability, emergency management capability, and learning and adaptability in the factor layer;

[0064] j represents the index under the corresponding factor. When i=1, j=1~4; when i=2, j=1~3; when i=3, j=1~9; when i=4, j=1~3; when i=5, j=1~3; when i=6, j=1~5; when i=7, j=1, 2;

[0065] Indicates the expert k-giving indicator The scoring value of k=1, 2, 3, 4, 5, 6 represents expert 1, expert 2, expert 3, expert 4, expert 5, and expert 6 respectively;

[0066] express Evaluation value after standardization and normalization;

[0067] represents the expert k-pair index The scores of 6 experts on the indicators The proportion of the sum of the scores;

[0068] Indicator Information entropy of

[0069] Indicator The weight of .

[0070] Wherein, the S1 includes calculating the scoring result of the defense dimension and the scoring result of the recovery dimension by using the entropy weight method to obtain the information entropy value of the defense dimension and the information entropy value of the recovery dimension;

[0071] The weight of the resilience evaluation index of the resistance dimension is proportional to the information entropy value of the resistance dimension;

[0072] The weight of the resilience evaluation index of the recovery dimension is proportional to the information entropy value of the recovery dimension.

[0073] Wherein, the S2 includes:

[0074] S21. Calculate the numerical features of the resilience assessment indicator in the defense dimension and the numerical features of the recovery dimension, and construct a defense cloud and a recovery cloud of the resilience assessment indicator;

[0075] S22. Based on the defense cloud and the recovery cloud, calculate and obtain a digital feature of the defense dimension and a digital feature of the recovery dimension for comprehensive evaluation;

[0076] S23. Inputting the digital features of the comprehensive evaluation in the resistance dimension and the digital features of the recovery dimension into a forward cloud generator to obtain a cloud map of the comprehensive evaluation of the resilience of mountain trunk roads;

[0077] S24. Obtain the toughness assessment grade by calculating the closeness of the comprehensive evaluation cloud map.

[0078] In S21, the digital features of the resilience evaluation index in the resistance dimension and the digital features of the recovery dimension are calculated, wherein the digital features of the resistance dimension and the digital features of the recovery dimension each form a cloud droplet, constituting the resistance cloud and the recovery cloud of the resilience index. The calculation process is as follows:

[0079]

[0080] Where:

[0081] The j index of the i factor, i = 1, 2, 3, 4, 5, 6, 7, respectively representing the disaster-prone environment, inducing conditions, road unit stability, road section reliability, early warning capability, emergency management capability, and learning and adaptability in the factor layer;

[0082] j represents the index under the corresponding factor. When i=1, j=1~4; when i=2, j=1~3; when i=3, j=1~9; when i=4, j=1~3; when i=5, j=1~3; when i=6, j=1~5; when i=7, j=1, 2;

[0083] Indicator expectations;

[0084] Indicator Entropy;

[0085] Indicator of super entropy;

[0086] Indicator The sample difference of

[0087] Indicator The score of the kth expert.

[0088] The digital features of the comprehensive evaluation in the defense dimension and the digital features of the recovery dimension calculated in S22 are also required based on the digital features of the element layer of the two-dimensional cloud model in the defense dimension and the recovery dimension;

[0089] The numerical characteristics of the disaster-prone environment in the resistance dimension and the recovery dimension in the factor layer are calculated as follows:

[0090]

[0091] Where:

[0092] The j index represents the disaster-prone environment, where j = 1, 2, 3, and 4 represent slope, terrain aspect, altitude, and distance from the fault zone, respectively;

[0093] It indicates a disaster-prone environment;

[0094] Represents the weight matrix of the indicator;

[0095] Expressing expectations of a disaster-prone environment;

[0096] It represents the entropy of the disaster-prone environment;

[0097] It represents the super entropy of the disaster-prone environment;

[0098] Similarly, the digital characteristics of element layer inducing conditions, highway unit stability, road section reliability, early warning capability, emergency management capability, learning and adaptability to resist cloud and recover cloud can be obtained.

[0099] According to the above calculation results, the digital features of the resistance dimension and the digital features of the recovery dimension are calculated in S22 to obtain a comprehensive evaluation. The calculation process is as follows:

[0100]

[0101] Where:

[0102] Represents factor i, i=1, 2, 3, 4, 5, 6, 7, representing disaster-prone environment, inducing conditions, highway unit stability, road section reliability, early warning capability, emergency management capability, and learning and adaptability, respectively;

[0103] The j index represents the disaster-prone environment, where j = 1, 2, 3, and 4 represent slope, terrain aspect, altitude, and distance from the fault zone, respectively;

[0104] Represents the weight matrix of factor i;

[0105] Express expectations for comprehensive evaluation;

[0106] represents the entropy of comprehensive evaluation;

[0107] Represents the super entropy of comprehensive evaluation.

[0108] Before S24, it is necessary to obtain the four level standard clouds based on the scores of the resistance dimension and the recovery dimension in the existing resilience literature and resilience standard documents, and calculate the digital characteristics of the four level standard clouds. The calculation process is as follows:

[0109]

[0110] Where: Expresses expectations of a standard cloud; represents the entropy of the standard cloud; represents the excess entropy of the standard cloud; represents the lower bound of the jth interval; represents the upper bound of the jth interval;

[0111] The four levels of standard clouds include low-level standard cloud, lower-level standard cloud, medium-level standard cloud and high-level standard cloud; the value ranges and numerical characteristics of the four levels of standard clouds are shown in Table 1.

[0112] Table 1 Value ranges and digital characteristics of four levels of standard clouds

[0113]

[0114] The digital features of the four-level standard clouds calculated are input into the Python forward cloud generator to obtain the standard cloud map for the toughness evaluation of mountain trunk roads, as shown in Figure 2 shown.

[0115] The closeness of the comprehensive evaluation cloud map of the toughness of the mountain trunk road in S24 is specifically the distance between the comprehensive evaluation cloud map of the toughness of the mountain trunk road and the four-level standard clouds, and the calculation process is as follows:

[0116]

[0117] Where:

[0118] is the distance between the comprehensive evaluation cloud map and the four grade standard clouds;

[0119] The expectations of the comprehensive evaluation cloud map in the resistance dimension;

[0120] The expectation of the comprehensive evaluation cloud map in the recovery dimension;

[0121] The four levels of standards provide expectations in the resilience dimension;

[0122] The standards for the four levels outline expectations in the recovery dimensions.

[0123] The calculation process of the toughness assessment grade is as follows:

[0124]

[0125] Where:

[0126] is the minimum value of the distance between the comprehensive evaluation cloud map and the four level standard clouds;

[0127] is the distance between the comprehensive evaluation cloud map and the low-level standard cloud;

[0128] is the distance between the comprehensive evaluation cloud map and the lower-level standard cloud;

[0129] is the distance between the comprehensive evaluation cloud map and the medium-level standard cloud;

[0130] is the distance between the comprehensive evaluation cloud map and the high-level standard cloud.

[0131] Example 2

[0132] like Figure 3 As shown, an electronic device includes at least one processor and a memory communicatively connected to the at least one processor; the memory stores instructions executable by the at least one processor, and the instructions are executed by the at least one processor to enable the at least one processor to perform the method for comprehensive assessment of mountain road resilience based on a two-dimensional cloud model described in the aforementioned embodiment. The input and output interfaces may include a display, a keyboard, a mouse, and a USB interface for inputting and outputting data; the power supply is used to provide power to the electronic device.

[0133] Those skilled in the art will understand that all or part of the steps of the above-mentioned method embodiment can be completed by hardware related to program instructions, and the aforementioned program can be stored in a computer-readable storage medium. When the program is executed, it executes the steps of the above-mentioned method embodiment; and the aforementioned storage medium includes: mobile storage devices, read-only memories (ROM), magnetic disks or optical disks, and other media that can store program codes.

[0134] When the integrated units described above are implemented as software functional units and sold or used as standalone products, they can also be stored on a computer-readable storage medium. Based on this understanding, the technical solutions of the embodiments of the present invention, or the portion that contributes to the prior art, can be embodied in the form of a software product. This computer software product, stored on a storage medium, includes instructions for enabling a computer device (such as a personal computer, server, or network device) to execute all or part of the methods described in various embodiments of the present invention. The aforementioned storage media include various media capable of storing program code, such as mobile storage devices, ROMs, magnetic disks, or optical disks.

Claims

1. A comprehensive assessment method for mountain highway resilience based on a two-dimensional cloud model, characterized by: include: S1. Based on the scoring results of the resistance dimension and the scoring results of the recovery dimension, the entropy weight method is used to calculate and obtain the information entropy value of the resistance dimension and the information entropy value of the recovery dimension, and the weight of the resilience assessment index of the mountain trunk road in the resistance dimension and the weight of the recovery dimension; wherein the weight of the resilience assessment index in the resistance dimension is proportional to the information entropy value of the resistance dimension, and the weight of the resilience assessment index in the recovery dimension is proportional to the information entropy value of the recovery dimension; S2. Construct a two-dimensional cloud model based on the weight of the resistance dimension and the weight of the recovery dimension, calculate the numerical characteristics of the resilience assessment index in the resistance dimension and the recovery dimension, and construct the resistance cloud and recovery cloud of the resilience assessment index; and calculate the numerical characteristics of the comprehensive evaluation in the resistance dimension and the recovery dimension based on the numerical characteristics of the element layer; wherein the element layer includes the disaster-prone environment, inducing conditions, road unit stability, road section reliability, early warning capability, emergency management capability, and learning and adaptability; the disaster-prone environment includes at least slope, terrain aspect, altitude, and distance from the fault zone; S3. Inputting the digital features of the comprehensive evaluation in the resistance dimension and the recovery dimension into a forward cloud generator to obtain a comprehensive evaluation cloud map of the resilience of mountain trunk roads; S4. Based on the scores of the resistance dimension and the recovery dimension in existing resilience literature and resilience standard documents, four level standard clouds are obtained. The four level standard clouds include a low-level standard cloud, a relatively low-level standard cloud, a medium-level standard cloud, and a high-level standard cloud. The score value interval of the low-level standard cloud is [0, 2.5), the score value interval of the relatively low-level standard cloud is [2.5, 5), the score value interval of the medium-level standard cloud is (5, 7.5), and the score value interval of the high-level standard cloud is (7.5, 10). S5. Obtain the resilience assessment grade by calculating the distance between the comprehensive evaluation cloud map and the four grade standard clouds, wherein the distance is the two-dimensional distance between the expectations of the comprehensive evaluation cloud map in the resistance dimension and the recovery dimension and the expectations of the four grade standard clouds in the corresponding dimensions, and take the standard cloud corresponding to the minimum distance to determine the resilience assessment grade.

2. A comprehensive assessment method for mountain road resilience based on a two-dimensional cloud model according to claim 1, characterized in that: Before S1, the resilience assessment index needs to be scored in the resistance dimension and the recovery dimension to obtain a scoring result of the resistance dimension and a scoring result of the recovery dimension.

3. The comprehensive assessment method for mountain road resilience based on a two-dimensional cloud model according to claim 1 is characterized in that: The distance between the comprehensive evaluation cloud map of the toughness of the mountain trunk road and the four-level standard clouds is calculated as follows: Where: is the distance between the comprehensive evaluation cloud map and the four grade standard clouds; The expectations of the comprehensive evaluation cloud map in the resistance dimension; The expectation of the comprehensive evaluation cloud map in the recovery dimension; The four levels of standards provide expectations in the resilience dimension; The standards for the four levels outline expectations in the recovery dimensions.

4. A comprehensive assessment method for mountain road resilience based on a two-dimensional cloud model according to claim 3, characterized in that: The calculation process of the toughness assessment grade is as follows: Where: is the minimum value of the distance between the comprehensive evaluation cloud map and the four level standard clouds; is the distance between the comprehensive evaluation cloud map and the low-level standard cloud; is the distance between the comprehensive evaluation cloud map and the lower-level standard cloud; is the distance between the comprehensive evaluation cloud map and the medium-level standard cloud; is the distance between the comprehensive evaluation cloud map and the high-level standard cloud.

5. A comprehensive assessment device for mountain road toughness based on a two-dimensional cloud model, characterized in that: The invention comprises at least one processor and a memory communicatively connected to the at least one processor; the memory stores instructions executable by the at least one processor, and the instructions are executed by the at least one processor to enable the at least one processor to execute the method according to any one of claims 1 to 4.

Images