Comprehensive evaluation method for preventive maintenance of asphalt pavement

Abstract

The invention belongs to the technical field of preventive maintenance of pavements, and particularly discloses a comprehensive evaluation method for preventive maintenance of asphalt pavements, and the method comprises the following steps: establishing microscopic indexes which conform to preventive maintenance characteristics and reflect real conditions of the pavements; screening from the microscopic indexes to obtain an index set meeting preventive maintenance of the asphalt pavement, and further determining a preventive maintenance index set of the asphalt pavement; dividing indexes in the asphalt pavement preventive maintenance index set into a control index, a macroscopic judgment index and a microscopic decision-making index, and performing asphalt pavement preventive maintenance three-dimensional comprehensive evaluation. According to the method, comprehensive evaluation and single indexes are combined, multi-dimensional comprehensive evaluation is carried out through three levels of a control index, a macroscopic index and a microscopic index, the problems that asphalt pavement performance evaluation indexes are not comprehensive, and comprehensive and systematic evaluation is lacked are solved, and a scientific evaluation method and basis are provided for preventive maintenance management work of asphalt pavements.

Description

Technical Field

[0001] The invention belongs to the technical field of pavement preventive maintenance, and particularly relates to a comprehensive evaluation method for asphalt pavement preventive maintenance. Background Art

[0002] The most prominent feature of pavement preventive maintenance is its preventive nature. Preventive maintenance cannot improve the pavement structure bearing capacity, and preventive maintenance work must be carried out before the pavement shows structural damage or large surface damage. However, preventive maintenance can delay the evolution process of pavement damage, maintain or improve the existing pavement service quality and functionality, thereby extending the pavement service life and postponing major repairs or reconstructions that consume a large amount of funds and manpower. Therefore, the preventive maintenance evaluation system for asphalt pavement must also have characteristics such as forward-looking, preventive, comprehensive, refined, and systematic.

[0003] However, currently, the evaluation method for the service performance of civil aviation airport pavements is only based on the "Technical Specification for Civil Airport Pavement Evaluation Management" newly promulgated by the Civil Aviation Administration, and there is no targeted specification similar to pavement preventive maintenance in the highway field. In addition, the goals of asphalt pavement preventive maintenance evaluation and asphalt pavement performance evaluation are different. The core content of asphalt pavement preventive maintenance evaluation work is the performance evaluation for the pre-service and mid-service periods of the pavement. However, referring to the existing pavement performance evaluation standards is not sufficient for preventive maintenance decision-making. The determination of preventive maintenance evaluation criteria is more stringent, and the key point of preventive maintenance is "prevention". The existing comprehensive evaluation indicators do not comprehensively analyze each disease of the pavement, but adopt an "average" treatment. Although the overall performance evaluation is good, the actual pavement may require preventive maintenance. Therefore, it is very difficult to achieve the expected effect of preventive maintenance by simply relying on the indicators and evaluation grades given in the "Technical Specification for Civil Airport Pavement Evaluation Management" to evaluate the preventive maintenance of asphalt pavement. Completely referring to the preventive maintenance specifications in the highway field for the preventive maintenance evaluation of asphalt pavement lacks pertinence and scientificity. The main damages generated under different scenarios and different loads are different, and the evaluation results often have a large gap with the actual service conditions of the pavement, which requires selecting evaluation indicators different from those in highway preventive maintenance. Summary of the Invention

[0004] The purpose of the invention is to solve the problem that the asphalt pavement performance evaluation indicators in the existing asphalt pavement preventive maintenance evaluation technology are not comprehensive, only supported by industry specifications, and lack comprehensive and systematic evaluation, and a comprehensive evaluation method for asphalt pavement preventive maintenance is proposed.

[0005] The technical solution of the invention is as follows: A comprehensive evaluation method for asphalt pavement preventive maintenance, comprising the following steps:

[0006] S1. Based on the corresponding relationship between the early diseases of asphalt pavements and indicators, establish microscopic indicators that conform to the characteristics of preventive maintenance and reflect the true condition of the pavement.

[0007] S2. Through the methods of hierarchical decomposition and multivariate statistical analysis, screen out the "indicator set" that meets the preventive maintenance of asphalt pavements from the microscopic indicators, and then determine the preventive maintenance index set of asphalt pavements according to the "indicator set" and the design principles of the evaluation index system.

[0008] S3. Divide the indicators in the preventive maintenance index set of asphalt pavements into control indicators, macroscopic judgment indicators, and microscopic decision-making indicators.

[0009] S4. Conduct a three-dimensional comprehensive evaluation of the preventive maintenance of asphalt pavements based on the control indicators, macroscopic judgment indicators, and microscopic decision-making indicators.

[0010] Preferably, the control indicators include the ACN-PCN index and the structural condition index.

[0011] The ACN-PCN index is used to evaluate the structural strength of asphalt pavements.

[0012] The structural condition index is used to evaluate the structural performance of asphalt pavement units.

[0013] Preferably, the macroscopic judgment indicators include the pavement condition index, international roughness index, friction coefficient, and permeability coefficient.

[0014] The pavement condition index is used to evaluate the damage degree of asphalt pavements.

[0015] The international roughness index is used to evaluate the evenness of asphalt pavements.

[0016] The friction coefficient is used to evaluate the skid resistance of asphalt pavements.

[0017] The permeability coefficient is used to evaluate the impermeability of asphalt pavements.

[0018] Preferably, the microscopic decision-making indicators include the crack index, surface damage index, and vertical deformation index.

[0019] The crack index is used to evaluate the severity of cracks in asphalt pavements.

[0020] The surface damage index is used to evaluate the degree of surface damage of asphalt pavements.

[0021] The vertical deformation index is used to evaluate the degree of vertical deformation of asphalt pavements.

[0022] Preferably, the specific steps of step S4 include the following steps:

[0023] S401. Determine whether the asphalt pavement block meets the ACN-PCN requirements. If so, execute step S402; if not, the asphalt pavement block is not suitable for preventive maintenance, and the process ends;

[0024] S402. Conduct a comprehensive evaluation of the asphalt pavement block based on the pavement condition index, international roughness index, and friction coefficient to obtain a comprehensive evaluation score;

[0025] S403. Determine whether the comprehensive evaluation score meets the preset comprehensive evaluation score threshold. If so, execute step S404; if not, the asphalt pavement block is not suitable for preventive maintenance, and the process ends;

[0026] S404. Sort the maintenance levels of the asphalt pavement block according to the comprehensive evaluation score;

[0027] S405. Divide the asphalt pavement block with the sorted maintenance level into asphalt pavement units, and calculate the structural condition index of the asphalt pavement units;

[0028] S406. Determine whether the structural condition index of the asphalt pavement unit is greater than or equal to 85. If so, execute step S407; if not, the asphalt pavement block is not suitable for preventive maintenance, and the process ends;

[0029] S407. Conduct a single-index evaluation of the asphalt pavement unit using the crack index, surface damage index, vertical deformation index, pavement condition index, international roughness index, and friction coefficient to obtain an asphalt pavement performance prediction model;

[0030] S408. Determine the preventive maintenance time point for each index according to the asphalt pavement performance prediction model, and then obtain the total time series of asphalt pavement preventive maintenance;

[0031] S409. Sort the preventive maintenance times of the indexes according to the total time series of asphalt pavement preventive maintenance;

[0032] S410. Determine the damage form of the asphalt pavement unit according to the microscopic decision-making indexes of the asphalt pavement unit and formulate a set of preventive maintenance measures for the asphalt pavement unit;

[0033] S411. Obtain the asphalt pavement preventive maintenance plan according to the sorting result of the preventive maintenance times of the indexes and the set of preventive maintenance measures for the asphalt pavement unit.

[0034] Preferably, in step S402, an interval number-entropy weight-TOPSIS evaluation model is used to conduct a comprehensive evaluation of the asphalt pavement to obtain a comprehensive evaluation score; the specific steps of step S402 are as follows:

[0035] Construct a fuzzy set of preventive maintenance standards for asphalt pavement blocks regarding pavement condition index, international roughness index, and friction coefficient, and use the interval number - entropy weight - TOPSIS evaluation model to calculate the maintenance standard scores of each asphalt pavement block, so as to determine the maintenance levels of each asphalt pavement block;

[0036] Construct an index interval fuzzy set of asphalt pavement blocks regarding pavement condition index, international roughness index, and friction coefficient, and use the interval number - entropy weight - TOPSIS evaluation model to calculate the maintenance priority scores of each asphalt pavement block under each maintenance level, complete the comprehensive evaluation, and obtain the comprehensive evaluation score.

[0037] Preferably, the calculation of the maintenance standard scores of each asphalt pavement block using the interval number - entropy weight - TOPSIS evaluation model includes the following steps:

[0038] According to the fuzzy set of preventive maintenance standards for asphalt pavement blocks, construct an initial evaluation matrix, and use the range transformation method to normalize the initial evaluation matrix to obtain a weighted normalized matrix, and its expression formula is:

[0039]

[0040] where, z mn represents the nth evaluation index component of the mth asphalt pavement block after weighted normalization, m represents the total number of asphalt pavement blocks, and n represents the total number of evaluation indexes;

[0041] Based on the weighted normalized matrix, determine the positive ideal point Z + and the negative ideal point Z - , and calculate the distance between each asphalt pavement block and the positive ideal point Z + and the distance between each asphalt pavement block and the negative ideal point Z - ;

[0042] The expression formula of the positive ideal point Z + is:

[0043]

[0044] where, represents the positive ideal point component of the mth asphalt pavement block, and max represents the maximum value;

[0045] The expression formula of the negative ideal point Z - is:

[0046]

[0047] where, represents the negative ideal point component of the mth asphalt pavement block, and min represents the minimum value;

[0048] The distance between each asphalt pavement block and the positive ideal point Z + is calculated by the formula:

[0049]

[0050] where, represents the distance between the i-th asphalt pavement block and the positive ideal point Z + ; represents the positive ideal point component of the i-th asphalt pavement block, and Z ij represents the j-th index component of the i-th asphalt pavement block after weighted normalization, i = 1, 2,..., m, j = 1, 2,..., n;

[0051] The distance between each asphalt pavement block and the negative ideal point Z - is calculated by the formula:

[0052]

[0053] where, represents the distance between the i-th asphalt pavement block and the negative ideal point Z - ; represents the negative ideal point component of the i-th asphalt pavement block;

[0054] Based on the distance between each asphalt pavement block and the positive ideal point Z + and the distance between each asphalt pavement block and the negative ideal point Z - calculate the maintenance standard score of each asphalt pavement block, and its calculation formula is:

[0055]

[0056] where, S i represents the maintenance standard score of the i-th asphalt pavement block.

[0057] Preferably, the maintenance grades of each asphalt pavement block include:

[0058] Grade L 1 , with the maintenance standard score 0.7394 < S i ≤1, the pavement performance is good and no maintenance measures are required;

[0059] Grade L 2 , with the maintenance standard score 0.6247 < S i ≤0.7394, the pavement is suitable for preventive maintenance measures to prevent the acceleration of pavement performance deterioration;

[0060] Grade L 3 , with the maintenance standard score 0 ≤ S i≤0.6247, the pavement performance is poor, and preventive maintenance can no longer meet the pavement maintenance requirements.

[0061] Preferably, calculating the maintenance priority scores of each asphalt pavement block by using the interval number-entropy weight-TOPSIS evaluation model includes the following steps:

[0062] According to the interval fuzzy set of asphalt pavement block indicators, construct a normalized interval number decision matrix, and its expression formula is:

[0063]

[0064] where B represents the normalized interval number decision matrix, represents the upper and lower limits of the interval component of the nth evaluation index of the mth asphalt pavement block, m represents the total number of asphalt pavement blocks, and n represents the total number of evaluation indicators;

[0065] Set the weight vector ω of the pavement condition index, international roughness index and friction coefficient, and its expression formula is:

[0066]

[0067] where ω j represents the weight of the jth evaluation index;

[0068] Combine the normalized interval number decision matrix and the weight vector to obtain the interval entropy weight normalized evaluation matrix, and its expression formula is:

[0069]

[0070] where R represents the interval entropy weight normalized evaluation matrix, represents the interval number after interval entropy weight normalization, represents the upper limit of the interval number, represents the lower limit of the interval number, and there is

[0071] Based on the interval entropy weight normalized evaluation matrix, determine the positive ideal point R + and the negative ideal point R - , and calculate the distance between each asphalt pavement block and the positive ideal point R + and the distance between each asphalt pavement block and the negative ideal point R - ;

[0072] The expression formula of the positive ideal point R + is:

[0073]

[0074] where, Denote the positive ideal point component of the j-th evaluation index, Denote the upper limit of the positive ideal point component of the j-th evaluation index, Denote the lower limit of the positive ideal point component of the j-th evaluation index, where max represents the maximum value;

[0075] The negative ideal point R - The expression formula is:

[0076]

[0077] Where, Denote the negative ideal point component of the j-th evaluation index, Denote the upper limit of the negative ideal point component of the j-th evaluation index, Denote the lower limit of the negative ideal point component of the j-th evaluation index, where min represents the minimum value;

[0078] The distance calculation formula between each asphalt pavement block and the positive ideal point R + is:

[0079]

[0080] Where, Denote the distance between the i-th asphalt pavement block and the positive ideal point R + The distance, r ij Denote the distance between the j-th index component of the i-th asphalt pavement block after interval entropy weight normalization and the positive ideal solution, Denote the upper limit of the distance between the j-th index component of the i-th asphalt pavement block after interval entropy weight normalization and the positive ideal solution, Denote the lower limit of the distance between the j-th index component of the i-th asphalt pavement block after interval entropy weight normalization and the positive ideal solution;

[0081] The distance calculation formula between each asphalt pavement block and the negative ideal point R - is:

[0082]

[0083] Where, Denote the distance between the i-th asphalt pavement block and the negative ideal point R - The distance;

[0084] According to the distance between each asphalt pavement block and the positive ideal point R + and the distance between each asphalt pavement block and the negative ideal point R - calculate the maintenance priority score of each asphalt pavement block, and its calculation formula is:

[0085]

[0086] Among them, represents the maintenance priority score of each asphalt pavement block.

[0087] The beneficial effects of the present invention are as follows:

[0088] 1. By constructing a multi-dimensional evaluation index system, combining control indexes, macro judgment indexes and micro decision-making indexes, the present invention systematically evaluates the preventive maintenance needs of asphalt pavements, providing a scientific basis for the maintenance management of airport pavements.

[0089] 2. The present invention introduces the entropy weight method and the TOPSIS method to construct an interval number-entropy weight-TOPSIS evaluation model suitable for the uncertainty and ambiguity of pavement detection data. Based on the multi-attribute decision-making theory, the subjective interference in the evaluation process is eliminated by combining the entropy weight method, and the TOPSIS method is used for comprehensive evaluation to achieve accurate evaluation of the preventive maintenance effect of asphalt pavements.

[0090] 3. The present invention evaluates the preventive maintenance of asphalt pavements based on a three-dimensional evaluation system of control indexes, macro judgment indexes and micro decision-making indexes, and sets specific index value ranges and corresponding stage divisions to ensure the scientificity and practicality of the evaluation.

[0091] 4. The present invention evaluates the service performance of pavement units according to single indexes, meets different needs, helps to determine specific maintenance measures for pavement units, and realizes more detailed maintenance work for pavement units.

[0092] 5. The present invention uses a comprehensive evaluation method to conduct macro preventive maintenance evaluation, and formulates a preventive maintenance plan for asphalt pavement units according to the priority of asphalt pavement maintenance needs. It can comprehensively understand or horizontally compare the pavement service performance in different regions, and can also conduct macro preventive maintenance evaluation for asphalt pavement management departments with limited funds. BRIEF DESCRIPTION OF THE DRAWINGS

[0093] Figure 1 The figure shows a flow chart of a comprehensive evaluation method for preventive maintenance of asphalt pavements provided in Embodiment 1 of the present invention.

[0094] Figure 2 The figure shows a schematic diagram of the framework of the preventive maintenance evaluation system for asphalt pavements provided in Embodiment 3 of the present invention. DETAILED DESCRIPTION OF THE INVENTION

[0095] Now, exemplary embodiments of the present invention will be described in detail with reference to the accompanying drawings. It should be understood that the embodiments shown and described are merely exemplary, intended to illustrate the principles and spirit of the present invention, and not to limit the scope of the present invention.

[0096] Embodiment 1:

[0097] As Figure 1 shown, a comprehensive evaluation method for the preventive maintenance of asphalt pavements includes the following steps:

[0098] S1. According to the corresponding relationship between the early diseases of asphalt pavements and indicators, establish microscopic indicators that conform to the characteristics of preventive maintenance and reflect the true condition of the pavements;

[0099] S2. Through the methods of hierarchical decomposition and multivariate statistical analysis, screen out an "indicator set" that meets the preventive maintenance requirements of asphalt pavements from the microscopic indicators, and then determine the preventive maintenance indicator set of asphalt pavements according to the "indicator set" and the design principles of the evaluation indicator system;

[0100] S3. Divide the indicators in the preventive maintenance indicator set of asphalt pavements into control indicators, macroscopic judgment indicators, and microscopic decision-making indicators;

[0101] S4. Conduct a three-dimensional comprehensive evaluation of the preventive maintenance of asphalt pavements based on the control indicators, macroscopic judgment indicators, and microscopic decision-making indicators.

[0102] In this embodiment, the control indicators include the ACN-PCN indicator and the structural condition index;

[0103] The ACN-PCN indicator is used to evaluate the structural strength of asphalt pavements;

[0104] The structural condition index is used to evaluate the structural performance of asphalt pavement units;

[0105] The evaluation criteria for the control indicators are as follows:

[0106] ACN-PCN indicator: ACN / PCN ≤ 1;

[0107] Structural condition index SCI: SCI ≥ 85.

[0108] In this embodiment, the macroscopic judgment indicators include the pavement condition index, international roughness index, friction coefficient, and permeability coefficient;

[0109] The pavement condition index is used to evaluate the damage degree of asphalt pavements;

[0110] The international roughness index is used to evaluate the smoothness of asphalt pavements;

[0111] The friction coefficient is used to evaluate the anti-skid performance of asphalt pavements;

[0112] The permeability coefficient is used to evaluate the anti-seepage performance of asphalt pavements;

[0113] The evaluation criteria for the macroscopic judgment indicators are as follows:

[0114] Pavement Condition Index PCI: 85 ≤ PCI ≤ 91;

[0115] International Roughness Index IRI: 2.0 ≤ IRI ≤ 2.8;

[0116] Friction coefficient μ: 0.5 ≤ μ ≤ 0.6.

[0117] In this embodiment, the micro decision-making indicators include a crack index, a surface damage index, and a vertical deformation index;

[0118] The crack index is used to evaluate the severity of cracks in the asphalt pavement;

[0119] The surface damage index is used to evaluate the degree of surface damage of the asphalt pavement;

[0120] The vertical deformation index is used to evaluate the degree of vertical deformation of the asphalt pavement;

[0121] The evaluation criteria for the micro decision-making indicators are as follows:

[0122] Crack index CI: CI ≤ 8.6%;

[0123] Surface damage index SI: SI ≤ 14.5%;

[0124] Vertical deformation index VDI: VDI ≤ 1.4%.

[0125] In this embodiment, step S4 specifically includes the following steps:

[0126] S401. Determine whether the asphalt pavement meets the ACN-PCN requirements. If so, execute step S402; if not, the asphalt pavement is not suitable for preventive maintenance, and the process ends;

[0127] S402. Conduct a comprehensive evaluation of the asphalt pavement based on the pavement condition index, international roughness index, and friction coefficient to obtain a comprehensive evaluation score;

[0128] S403. Determine whether the comprehensive evaluation score meets the preset comprehensive evaluation score threshold. If so, execute step S404; if not, the asphalt pavement is not suitable for preventive maintenance, and the process ends;

[0129] S404. Perform a block priority ranking on the asphalt pavement according to the comprehensive evaluation score;

[0130] S405. Divide the blocks with completed priority ranking into asphalt pavement units, and calculate the structural condition index of the asphalt pavement units;

[0131] S406. Determine whether the structural condition index of the asphalt pavement unit is greater than or equal to 85. If so, execute step S407; if not, the asphalt pavement is not suitable for preventive maintenance, and the process ends;

[0132] S407. Use the crack index, surface damage index, vertical deformation index, pavement condition index, international roughness index, and friction coefficient to conduct a single - index evaluation of the asphalt pavement unit, and obtain the asphalt pavement performance prediction model;

[0133] S408. Determine the preventive maintenance time point of each index according to the asphalt pavement performance prediction model, and then obtain the total time series of the asphalt pavement preventive maintenance;

[0134] S409. Sort the preventive maintenance times of the indexes according to the total time series of the asphalt pavement preventive maintenance;

[0135] S410. Determine the damage form of the asphalt pavement unit according to the microscopic decision - making indexes of the asphalt pavement unit and formulate a set of preventive maintenance measures for the asphalt pavement unit;

[0136] S411. Obtain the asphalt pavement preventive maintenance plan according to the sorting result of the preventive maintenance times of the indexes and the set of preventive maintenance measures for the asphalt pavement unit.

[0137] In this embodiment, in step S402, the interval number - entropy weight - TOPSIS evaluation model is used to conduct a comprehensive evaluation of the asphalt pavement to obtain a comprehensive evaluation score. The step S402 specifically includes the following steps:

[0138] Construct a fuzzy set of preventive maintenance standards for asphalt pavement blocks regarding the pavement condition index, international roughness index, and friction coefficient, and use the interval number - entropy weight - TOPSIS evaluation model to calculate the maintenance standard scores of each asphalt pavement block, and then determine the maintenance grades of each asphalt pavement block;

[0139] Construct an interval - fuzzy set of indexes for asphalt pavement blocks regarding the pavement condition index, international roughness index, and friction coefficient, and use the interval number - entropy weight - TOPSIS evaluation model to calculate the maintenance priority scores of each asphalt pavement block under each maintenance grade, complete the comprehensive evaluation, and obtain the comprehensive evaluation score.

[0140] In this embodiment, the step of using the interval number - entropy weight - TOPSIS evaluation model to calculate the maintenance standard scores of each asphalt pavement block includes the following steps:

[0141] According to the fuzzy set of preventive maintenance standards for asphalt pavement blocks, construct an initial evaluation matrix, and use the range transformation method to normalize the initial evaluation matrix to obtain a weighted normalized matrix, and its expression formula is:

[0142]

[0143] Among them, z mn represents the nth evaluation index component of the mth asphalt pavement block after weighted normalization, m represents the total number of asphalt pavement blocks, and n represents the total number of evaluation indexes;

[0144] Determine the positive ideal point Z + and the negative ideal point Z - based on the weighted normalization matrix, and calculate the distance between each asphalt pavement block and the positive ideal point Z + as well as the distance between each asphalt pavement block and the negative ideal point Z - ;

[0145] The expression formula of the positive ideal point Z + is:

[0146]

[0147] Among them, represents the positive ideal point component of the mth asphalt pavement block, and max represents the maximum value;

[0148] The expression formula of the negative ideal point Z - is:

[0149]

[0150] Among them, represents the negative ideal point component of the mth asphalt pavement block, and min represents the minimum value;

[0151] The calculation formula for the distance between each asphalt pavement block and the positive ideal point Z + is:

[0152]

[0153] Among them, represents the distance between the ith asphalt pavement block and the positive ideal point Z + , represents the positive ideal point component of the ith asphalt pavement block, and Z ij represents the jth index component of the ith asphalt pavement block after weighted normalization, where i = 1, 2,..., m and j = 1, 2,..., n;

[0154] The calculation formula for the distance between each asphalt pavement block and the negative ideal point Z - is:

[0155]

[0156] Among them, Indicates the distance between the i-th asphalt pavement block and the negative ideal point Z - , represents the negative ideal point component of the i-th asphalt pavement block;

[0157] According to the distances between each asphalt pavement block and the positive ideal point Z + and the distances between each asphalt pavement block and the negative ideal point Z - , the maintenance standard scores of each asphalt pavement block are calculated, and its calculation formula is:

[0158]

[0159] where S i represents the maintenance standard score of the i-th asphalt pavement block.

[0160] In this embodiment, the maintenance grades of the asphalt pavement blocks include:

[0161] Grade L 1 , with the maintenance standard score 0.7394 < S i ≤ 1, indicating that the pavement performance is good and no maintenance measures need to be taken;

[0162] Grade L 2 , with the maintenance standard score 0.6247 < S i ≤ 0.7394, indicating that the pavement is suitable for preventive maintenance measures to prevent the acceleration of pavement performance deterioration;

[0163] Grade L 3 , with the maintenance standard score 0 ≤ S i ≤ 0.6247, indicating that the pavement performance is poor and preventive maintenance can no longer meet the pavement maintenance requirements.

[0164] In this embodiment, calculating the maintenance priority scores of each asphalt pavement block using the interval number - entropy weight - TOPSIS evaluation model includes the following steps:

[0165] According to the interval fuzzy set of asphalt pavement block indicators, construct a normalized interval number decision matrix, and its expression formula is:

[0166]

[0167] where B represents the normalized interval number decision matrix, represents the upper and lower limits of the interval component of the n-th evaluation index of the m-th asphalt pavement block, m represents the total number of asphalt pavement blocks, and n represents the total number of evaluation indicators;

[0168] Set the weight vector ω of the pavement condition index, international roughness index, and friction coefficient, and its expression formula is:

[0169]

[0170] Among them, ω j represents the weight of the j-th evaluation index;

[0171] The normalized interval number decision matrix and the weight vector are combined to obtain an interval entropy weight normalized evaluation matrix, and its expression formula is:

[0172]

[0173] Among them, R represents the interval entropy weight normalized evaluation matrix, represents the interval number after interval entropy weight normalization, represents the upper limit of the interval number, represents the lower limit of the interval number, and there is

[0174] Based on the interval entropy weight normalized evaluation matrix, the positive ideal point R + and the negative ideal point R - are determined, and the distances between each asphalt pavement block and the positive ideal point R + and the distances between each asphalt pavement block and the negative ideal point R - are calculated;

[0175] The expression formula of the positive ideal point R + is:

[0176]

[0177] Among them, represents the positive ideal point component of the j-th evaluation index, represents the upper limit of the positive ideal point component of the j-th evaluation index, represents the lower limit of the positive ideal point component of the j-th evaluation index, and max represents the maximum value;

[0178] The expression formula of the negative ideal point R - is:

[0179]

[0180] Among them, represents the negative ideal point component of the j-th evaluation index, represents the upper limit of the negative ideal point component of the j-th evaluation index, represents the lower limit of the negative ideal point component of the j-th evaluation index, and min represents the minimum value;

[0181] The calculation formula for the distance between each asphalt pavement block and the positive ideal point R + is:

[0182]

[0183] Among them, represents the distance between the i-th asphalt pavement block and the positive ideal point R + r ij represents the distance between the j-th index component of the i-th asphalt pavement block after interval entropy weight normalization and the positive ideal solution, represents the upper limit of the distance between the j-th index component of the i-th asphalt pavement block after interval entropy weight normalization and the positive ideal solution, represents the lower limit of the distance between the j-th index component of the i-th asphalt pavement block after interval entropy weight normalization and the positive ideal solution;

[0184] The calculation formula for the distance between each asphalt pavement block and the negative ideal point R - is as follows:

[0185]

[0186] Among them, represents the distance between the i-th asphalt pavement block and the negative ideal point R - ;

[0187] According to the distance between each asphalt pavement block and the positive ideal point R + and the distance between each asphalt pavement block and the negative ideal point R - calculate the maintenance priority score of each asphalt pavement block, and its calculation formula is:

[0188]

[0189] Among them, represents the maintenance priority score of each asphalt pavement block.

[0190] Example 2:

[0191] On the basis of Example 1, in this example, the investigation and detection of each airport asphalt pavement index are sorted into the fuzzy set of preventive maintenance standards for asphalt pavement blocks, as shown in Table 1, and the interval fuzzy set of asphalt pavement block indexes, as shown in Table 2, to illustrate the details of obtaining the comprehensive evaluation score by using the interval number - entropy weight - TOPSIS evaluation model proposed in the present invention for the comprehensive evaluation of asphalt pavement.

[0192] Table 1 Fuzzy set of preventive maintenance standards for asphalt pavement blocks

[0193]

[0194] Table 2 Interval fuzzy set of asphalt pavement block indexes

[0195]

[0196] According to the fuzzy set of preventive maintenance standards for asphalt pavement blocks, construct the initial evaluation matrix, and use the range transformation method to normalize the initial evaluation matrix to obtain the weighted normalized matrix;

[0197] The initial evaluation matrix X is as follows:

[0198]

[0199] The weighted normalized matrix Z is as follows:

[0200]

[0201] Determine the positive ideal point Z + and the negative ideal point Z - , and calculate the distance between each asphalt pavement block and the positive ideal point Z + and the distance between each asphalt pavement block and the negative ideal point Z - ;

[0202] The expression formula for the positive ideal point Z + is:

[0203]

[0204] where, represents the positive ideal point component of the nth asphalt pavement block, and max represents the maximum value;

[0205] The expression formula for the negative ideal point Z - is:

[0206]

[0207] where, represents the negative ideal point component of the nth asphalt pavement block, and min represents the minimum value;

[0208] The calculation formula for the distance between each asphalt pavement block and the positive ideal point Z + is:

[0209]

[0210] where, represents the distance between the ith asphalt pavement block and the positive ideal point Z + , represents the positive ideal point component of the ith asphalt pavement block, and Z ij represents the jth index component of the ith asphalt pavement block after weighted normalization, i = 1, 2,..., m, j = 1, 2,..., n;

[0211] The distance between each asphalt pavement block and the negative ideal point Z - is calculated by the formula:

[0212]

[0213] where represents the distance between the i-th asphalt pavement block and the negative ideal point Z - , represents the negative ideal point component of the i-th asphalt pavement block;

[0214] According to the distance between each asphalt pavement block and the positive ideal point Z + and the distance between each asphalt pavement block and the negative ideal point Z - , the maintenance standard scores of each asphalt pavement block are calculated, and its calculation formula is:

[0215]

[0216] where S i represents the maintenance standard score of the i-th asphalt pavement block; finally, the maintenance standard scores of each asphalt pavement block are calculated:

[0217] S i =(S 1 , S 2 , S 3 , S 4 )=(1, 0.7394, 0.6247, 0)

[0218] Sort according to the maintenance standard scores to obtain the maintenance grades of each asphalt pavement block.

[0219] After determining the maintenance grades of each asphalt pavement block, according to the fuzzy set of asphalt pavement block index intervals, construct a normalized interval number decision matrix B, and there is:

[0220]

[0221] Set the weight vector ω of the pavement condition index, international roughness index and friction coefficient, and there is:

[0222] ω=(ω 1 , ω 2 , ω 3 )=(0.5294, 0.3611, 0.1095)

[0223] Combine the normalized interval number decision matrix and the weight vector to obtain the interval entropy weight normalized evaluation matrix, and its expression formula is:

[0224]

[0225] Determine the positive ideal point $R$ based on the interval entropy weight normalized evaluation matrix + and the negative ideal point $R$ - , and calculate the distance between each asphalt pavement block and the positive ideal point $R$ + and the distance between each asphalt pavement block and the negative ideal point $R$ - ;

[0226] The positive ideal point $R$ + is:

[0227] $R$ + $=[(0.2482,0.5294),(0.2689,0.3611),(0.0453,0.1095)]$

[0228] The negative ideal point $R$ - is:

[0229] $R$ - $=[(0,0.2482),(0,0.1844),(0,0.0415)]$

[0230] The distance between each asphalt pavement block and the positive ideal point $R$ + is:

[0231]

[0232] The distance between each asphalt pavement block and the negative ideal point $R$ - is:

[0233]

[0234] Calculate the maintenance priority score of each asphalt pavement block according to the distance between each asphalt pavement block and the positive ideal point $R$ + and the distance between each asphalt pavement block and the negative ideal point $R$ - as: is:

[0235]

[0236] According to the interval entropy weight TOPSIS comprehensive evaluation model, determine that pavement $B$ 1 is the pavement that should be preferentially subjected to preventive maintenance among the 5 pavements.

[0237] Example 3:

[0238] On the basis of Example 1, in this example, 100 pavement unit data of 5 asphalt runways in the asphalt pavement performance dataset are randomly selected for the correlation analysis of pavement performance indicators. When performing the correlation analysis, statistical methods are used to evaluate the degree of correlation between different indicators, and finally the comprehensive evaluation standard for asphalt pavement preventive maintenance is obtained.​​​​

[0239] By calculating the Pearson correlation coefficient, the strength and direction of the linear relationship between two variables can be quantified. The results show that the correlation coefficients between PCI and IRI, μ, CI, SI, and VDI are -0.88, 0.79, -0.95, -0.94, and -0.75 respectively. This indicates that PCI has a high correlation with other indicators. Among them, PCI is positively correlated with μ and negatively correlated with the other four indicators. The damage or injury of the asphalt pavement (such as cracks, potholes, etc.) will directly affect the PCI score, resulting in a decrease in the value. The pavement damage will also increase the bumpiness during the aircraft's driving, affect the flatness of the pavement, and increase the IRI value. Therefore, based on the PCI index, this invention studies the attenuation method of pavement performance over time and establishes a pavement performance decay model.

[0240] The initial attenuation rate of a newly built asphalt pavement is generally slow, showing an inverse S-shaped curve. In the pavement performance decay model, the empirical statistical model based on measured data is still the mainstream method for pavement performance prediction. Currently, the widely used sigmoid model can consider the change of the performance deterioration rate over time. On this basis, this invention uses the sigmoid function to fit the asphalt pavement performance decay model based on the PCI index.

[0241] Randomly select the PCI values of 20 pavement units in 5 blocks of 5 runways within a calendar year, and take their average value as the input of the regression model. The goodness of fit R2 of the obtained regression model is 0.99716, indicating that the regression model has strong interpretability. In order to verify the relationship between PCI and other indicators, regression models of PCI and the other 5 indicators are established respectively. This invention establishes regression models of PCI and the other 5 indicators. The goodness of fit R2 of the 5 models are 0.9101, 0.905, 0.873, 0.937, and 0.8597 respectively, indicating that the PCI index can reflect the mutual relationship of other indicators, which is consistent with the correlation analysis results, and verifies that PCI, as the main modeling index of the asphalt pavement decay model, can accurately reflect the decay status of the asphalt pavement.

[0242] The key "deterioration nodes" of the diseases are highly consistent with the key "decay nodes" of the pavement performance. The point (moment) with the fastest decay speed can be mathematically expressed as the point with the largest absolute value of the derivative of the decay model within the given independent variable range. The first derivative is to solve the slope of each point of the function, while the second derivative is to solve the concavity and convexity of the whole function, which is equivalent to finding the increase and decrease law of the slope of each point. The key to determining the maintenance timing is to solve the point with the fastest change speed in the asphalt pavement performance decay model, that is, the point with the largest or smallest slope in the decay model curve (the maximum or minimum value of the first derivative function within the given independent variable interval). Therefore, this invention passes through the established asphalt pavement PCI decay model PCI t, and its expression formula is:

[0243]

[0244] Further derive the first derivative function of the asphalt pavement PCI decay model, so as to solve the maximum or minimum value of the first derivative function in the given independent variable interval in the asphalt pavement PCI decay model, that is, the point where the change rate of the asphalt pavement PCI decay model is the fastest; the expression formula of the first derivative function of the asphalt pavement PCI decay model is:

[0245]

[0246] In the given independent variable \(t\in[0,5]\), when \(t = 2.71\), the first derivative of the asphalt pavement PCI decay model obtains the minimum value of -6.68. This point represents the moment when the decay rate of the asphalt pavement PCI decay model is the largest, and the PCI value corresponding to this moment is 85.6. Preventive maintenance of asphalt pavement must be intervened before the key "decay node" of pavement performance to prevent further deterioration of pavement performance. In the asphalt pavement PCI decay model constructed in the present invention, the "decay node" is \(t = 2.71\) and \(PCI = 85.6\). Further considering the time span and time effectiveness of preventive maintenance work, the preventive maintenance standard of asphalt pavement is expressed by an interval, and this threshold is used as the lower limit of the preventive maintenance interval. In addition, the detection frequency of airport pavement is generally once a year. Therefore, in this paper, \(t = 2\) and \(PCI = 91\) are taken as the upper limit of the interval. Based on this, when the PCI value is used as the evaluation index for preventive maintenance of asphalt pavement, its preventive maintenance standard interval is \([85,91]\).

[0247] Due to the small amount of historical data on the service performance of airport pavements and the short time span of the data, other indicators cannot obtain the optimal threshold for preventive maintenance through regression of time series data like the PCI indicator. Based on this practical problem, the present invention determines the preventive maintenance timing of airport pavements as a binary classification problem. Based on the asphalt pavement performance data obtained from actual detection, a binary classification confusion matrix model is constructed and combined with the ROC curve and K-S curve to determine the preventive maintenance threshold of each indicator under the true service state of the asphalt pavement. This confusion matrix model does not involve any human factors and subjective experience interference, and is only based on the real data of pavement performance, providing a quantifiable reference standard for preventive maintenance work, which helps to continuously improve and refine the decision-making method for preventive maintenance timing of pavements.

[0248] In this embodiment, 100 groups of performance data of asphalt pavement units in the disease dataset are used. First, each pavement unit is labeled and grouped (0 or 1) according to the numerical range of PCI in the preventive maintenance evaluation standard to determine the category of each pavement unit in the classifier. The thresholds of the classifier are set respectively with the other 5 indicators (IRI, μ, CI, SI, VDI) in the preventive maintenance evaluation system of asphalt pavement, and the ROC curve and K-S curve of each indicator under different set thresholds are obtained, and the indicator threshold corresponding to the best classification result is output. Since each indicator has a different value range, the value ranges of the 5 indicators need to be normalized to the standard threshold range [0, 1] through interpolation. The best threshold in the K-S curve is obtained by using the 5 indicators as the set thresholds of the classifier respectively, which determines a clear standard for the preventive maintenance of asphalt pavement, that is, when a certain performance indicator of the pavement unit is lower than this threshold, it indicates that the pavement unit has reached the critical point of preventive maintenance.

[0249] Similar to the preventive maintenance threshold of PCI, considering the time span and time effectiveness of preventive maintenance work, this embodiment represents the preventive standards of the 5 indicators of IRI, μ, CI, SI, and VDI with intervals. According to the correlation analysis results between PCI and the 5 indicators, PCI is positively correlated with μ and negatively correlated with other indicators. Therefore, the best indicator thresholds obtained in the classifier should be the lower limit of the interval of indicator μ and the upper limits of the intervals of indicators IRI, CI, SI, and VDI in the preventive maintenance standard of asphalt pavement, which are 0.5, 2.8, 8.6%, 14.5%, and 1.4% respectively. In addition, according to the regression model between PCI and the 5 indicators of IRI, μ, CI, SI, and VDI, its expression formula is:

[0250]

[0251] Substituting PCI = 91 into the regression model, the upper limit of the interval of indicator μ and the lower limit of the interval of indicator IRI in the preventive maintenance standard can be obtained, which are 0.6 and 2.0 respectively. In the preventive maintenance system of asphalt pavement, the three indicators of CI, SI, and VDI are used as micro decision-making indicators to decide the implementation of specific preventive maintenance plans. Therefore, only the upper limits of the intervals of the preventive maintenance standards of the three indicators need to be considered. When the indicator is higher than the upper limit, it is considered that this type of damage is relatively serious. Finally, the comprehensive evaluation standard for the preventive maintenance of asphalt pavement is shown in Table 3.

[0252] Table 3 Comprehensive evaluation standard for the preventive maintenance of asphalt pavement

[0253]

[0254] In this embodiment, after determining the process and evaluation standard of the asphalt pavement evaluation indicators, the following is obtained Figure 2The framework of the preventive maintenance evaluation system for asphalt pavements shown

[0255] Starting from the evaluation idea of combining comprehensive evaluation and single-index evaluation, the comprehensive evaluation method for preventive maintenance of asphalt pavements proposed by the present invention constructs a three-dimensional comprehensive evaluation system for preventive maintenance of asphalt pavements by selecting evaluation indicators at three levels: control indicators, macro judgment indicators, and micro decision-making indicators. The comprehensive evaluation method for preventive maintenance of asphalt pavements aims to comprehensively reflect the overall usage status of the pavements in a specific area to determine the priority of preventive maintenance work. First, according to the ACN-PCN evaluation method, it is judged whether the structural strength of each asphalt pavement meets the requirements of preventive maintenance. For asphalt pavements that meet the structural strength requirements, a comprehensive evaluation model is used to initially rank the priority of preventive maintenance work, obtain a comprehensive evaluation ranking scheme for preventive maintenance of asphalt pavements, determine the parts or blocks with higher priority among them, and then divide the parts or blocks into pavement units for single-index evaluation of asphalt pavements.

[0256] The single performance evaluation of asphalt pavements is mainly used for the preventive maintenance evaluation of airport pavement units, and to decide the preventive maintenance timing and preventive maintenance plan of airport pavements. After determining the priority order of preventive maintenance of asphalt pavements in each area, the pavement maintenance management agency of the airport faces challenges such as "when to carry out preventive maintenance" and "which maintenance measures to choose". To address the above problems, first, the preventive maintenance standards for the performance of pavement units are determined according to single macro indicators, and then the preventive maintenance time points for each indicator are determined according to the asphalt pavement performance prediction model, so as to obtain the total time series of preventive maintenance of asphalt pavements. Further, the preventive maintenance time of indicators is sorted according to the total time series of preventive maintenance; finally, the main damage forms of the unit are determined according to the various micro decision-making indicators of the pavement unit to formulate a set of preventive maintenance measures for the pavement unit, and finally an integrated decision-making scheme for preventive maintenance units, timing, and countermeasures is obtained.

[0257] Those of ordinary skill in the art will realize that the embodiments described herein are to assist the reader in understanding the principles 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 comprehensive evaluation method for preventive maintenance of asphalt pavement, characterized in that: The following steps are involved: S1. Based on the corresponding relationship between early asphalt pavement diseases and indicators, establish micro-indicators that meet the characteristics of preventive maintenance and reflect the actual condition of the pavement; S2. The "index set" that meets the requirements of asphalt pavement preventive maintenance is screened from micro-indicators through hierarchical decomposition and multivariate statistical analysis methods, and then the asphalt pavement preventive maintenance index set is determined based on the "index set" and the design principles of the evaluation index system; S3. Divide the indicators in the asphalt pavement preventive maintenance index set into control indicators, macro judgment indicators and micro decision-making indicators; S4. Conduct a three-dimensional comprehensive evaluation of asphalt pavement preventive maintenance based on control indicators, macro-judgment indicators and micro-decision-making indicators.

2. The comprehensive evaluation method for preventive maintenance of asphalt pavement according to claim 1 is characterized in that: The control indicators include ACN-PCN indicators and structural status index; The ACN-PCN index is used to evaluate the structural strength of asphalt pavement; The structural condition index is used to evaluate the structural performance of asphalt pavement units.

3. The comprehensive evaluation method for preventive maintenance of asphalt pavement according to claim 2 is characterized in that: The macroscopic judgment indexes include pavement condition index, international roughness index, friction coefficient and water seepage coefficient; The pavement condition index is used to assess the degree of damage to the asphalt pavement; The international roughness index is used to evaluate the smoothness of asphalt pavement; The friction coefficient is used to evaluate the skid resistance of the asphalt pavement; The water permeability coefficient is used to evaluate the impermeability of the asphalt pavement.

4. The comprehensive evaluation method for preventive maintenance of asphalt pavement according to claim 3 is characterized in that: The micro-decision-making indicators include crack index, surface damage index and vertical deformation index; The crack index is used to evaluate the severity of cracks in asphalt pavement; The surface damage index is used to evaluate the degree of surface damage of the asphalt pavement; The vertical deformation index is used to evaluate the degree of vertical deformation of the asphalt pavement.

5. The comprehensive evaluation method for preventive maintenance of asphalt pavement according to claim 4 is characterized in that: The step S4 specifically comprises the following steps: S401. Determine whether the asphalt pavement block meets the ACN-PCN requirements. If so, execute step S402; if not, the asphalt pavement block is not suitable for preventive maintenance, and the process ends; S402. Comprehensively evaluate the asphalt pavement block according to the pavement condition index, international roughness index and friction coefficient to obtain a comprehensive evaluation score; S403. Determine whether the comprehensive evaluation score meets the preset comprehensive evaluation score threshold. If so, execute step S404; if not, the asphalt pavement block is not suitable for preventive maintenance, and the process ends; S404. Rank the maintenance levels of the asphalt pavement blocks according to the comprehensive evaluation scores; S405. Divide the asphalt pavement blocks sorted by maintenance level into asphalt pavement units, and calculate the structural condition index of the asphalt pavement units; S406. Determine whether the structural condition index of the asphalt pavement unit is greater than or equal to 85. If so, execute step S407; if not, the asphalt pavement block is not suitable for preventive maintenance, and the process ends; S407. Use crack index, surface damage index, vertical deformation index, pavement condition index, international roughness index and friction coefficient to evaluate the asphalt pavement unit and obtain the asphalt pavement performance prediction model; S408. Determine the preventive maintenance time point of each indicator according to the asphalt pavement performance prediction model, and then obtain the total time series of the preventive maintenance of the asphalt pavement; S409. Sort the preventive maintenance time of indicators according to the total time series of preventive maintenance of asphalt pavement; S410. Determine the damage form of the asphalt pavement unit according to the micro-decision indicators of the asphalt pavement unit and formulate a set of preventive maintenance measures for the asphalt pavement unit; S411. Obtain an asphalt pavement preventive maintenance plan based on the indicator preventive maintenance time ranking results and the asphalt pavement unit preventive maintenance measure set.

6. The comprehensive evaluation method for preventive maintenance of asphalt pavement according to claim 5 is characterized in that: In step S402, the interval number-entropy weight-TOPSIS evaluation model is used to comprehensively evaluate the asphalt pavement to obtain a comprehensive evaluation score; step S402 specifically includes the following steps: The fuzzy set of preventive maintenance standards for asphalt pavement blocks based on pavement condition index, international roughness index and friction coefficient was constructed, and the maintenance standard score of each asphalt pavement block was calculated using the interval number-entropy weight-TOPSIS evaluation model, thereby determining the maintenance grade of each asphalt pavement block. An interval fuzzy set of asphalt pavement block indicators regarding pavement condition index, international roughness index and friction coefficient was constructed, and the interval number-entropy weight-TOPSIS evaluation model was used to calculate the maintenance priority score of each asphalt pavement block under each maintenance level. The comprehensive evaluation was completed and the comprehensive evaluation score was obtained.

7. The comprehensive evaluation method for preventive maintenance of asphalt pavement according to claim 6, characterized in that: The method of calculating the maintenance standard score of each asphalt pavement block by using the interval number-entropy weight-TOPSIS evaluation model includes the following steps: According to the fuzzy set of preventive maintenance standards for asphalt pavement blocks, the initial evaluation matrix is ​​constructed, and the initial evaluation matrix is ​​normalized using the range transformation method to obtain a weighted normalized matrix, which is expressed as follows: Among them, z mn represents the nth evaluation index component of the mth asphalt pavement block after weighted normalization, m represents the total number of asphalt pavement blocks, and n represents the total number of evaluation indicators; Determining the positive ideal point Z based on the weighted normalization matrix + and negative ideal point Z - , and calculate the distance between each asphalt pavement block and the positive ideal point Z + The distance between each asphalt pavement block and the negative ideal point Z - distance; The positive ideal point Z + The expression formula is: in, represents the positive ideal point component of the mth asphalt pavement block, and max represents the maximum value; The negative ideal point Z - The expression formula is: in, It represents the negative ideal point component of the mth asphalt pavement block, and min represents the minimum value; Each asphalt pavement block and the positive ideal point Z + The distance is calculated as: in, Represents the relationship between the i-th asphalt pavement block and the positive ideal point Z + The distance represents the positive ideal point component of the i-th asphalt pavement block, Z ij represents the jth index component of the i-th asphalt pavement block after weighted normalization, i = 1, 2, ..., m, j = 1, 2, ..., n; Each asphalt pavement block and the negative ideal point Z - The distance is calculated as: in, Represents the relationship between the i-th asphalt pavement block and the negative ideal point Z - The distance Represents the negative ideal point component of the i-th asphalt pavement block; According to the asphalt pavement blocks and the positive ideal point Z + The distance between each asphalt pavement block and the negative ideal point Z - The maintenance standard score of each asphalt pavement block is calculated based on the distance, and the calculation formula is: Among them, S i Represents the maintenance standard score of the i-th asphalt pavement block.

8. The comprehensive evaluation method for preventive maintenance of asphalt pavement according to claim 6 is characterized in that: The maintenance levels of each asphalt pavement block include: Level L1, maintenance standard score 0.7394 i ≤1, the pavement performance is good and no maintenance measures are required;​ Level L2, maintenance standard score 0.6247 i ≤0.7394, the pavement is suitable for taking preventive maintenance measures to prevent the accelerated deterioration of pavement performance;​ Level L3, maintenance standard score 0≤S i ≤0.6247, the pavement performance is poor, and preventive maintenance can no longer meet the pavement maintenance needs.

9. The comprehensive evaluation method for preventive maintenance of asphalt pavement according to claim 6, characterized in that: The method of calculating the maintenance priority score of each asphalt pavement block by using the interval number-entropy weight-TOPSIS evaluation model includes the following steps: According to the interval fuzzy set of asphalt pavement block index, a standardized interval number decision matrix is ​​constructed, and its expression formula is: Where B represents the normalized interval number decision matrix, It represents the upper and lower limits of the nth evaluation index interval component of the mth asphalt pavement block, m represents the total number of asphalt pavement blocks, and n represents the total number of evaluation indicators; The weight vector ω of the road condition index, international roughness index and friction coefficient is set, and its expression formula is: Among them, ω j represents the weight of the jth evaluation index; The normalized interval number decision matrix and weight vector are combined to obtain the normalized evaluation matrix of interval entropy weight, which is expressed as follows: Among them, R represents the interval entropy weight normalized evaluation matrix, represents the number of intervals after the interval entropy weight is normalized, Indicates the upper limit of the interval number, represents the lower limit of the interval number, Determining the positive ideal point R based on the normalized evaluation matrix of interval entropy weight + and negative ideal point R - , and calculate the distance between each asphalt pavement block and the positive ideal point R + The distance between each asphalt pavement block and the negative ideal point R - distance; The positive ideal point R + The expression formula is: in, represents the positive ideal point component of the jth evaluation index, represents the upper limit of the positive ideal point component of the jth evaluation index, It represents the lower limit of the positive ideal point component of the jth evaluation index, and max represents the maximum value; The negative ideal point R - The expression formula is: in, represents the negative ideal point component of the jth evaluation index, represents the upper limit of the negative ideal point component of the jth evaluation index, It represents the lower limit of the negative ideal point component of the jth evaluation index, and min represents the minimum value; Each asphalt pavement block is located at the positive ideal point R + The distance is calculated as: in, Represents the relationship between the i-th asphalt pavement block and the positive ideal point R + The distance, r ij represents the distance between the jth index component of the i-th asphalt pavement block and the positive ideal solution after the interval entropy weight is normalized, It represents the upper limit of the distance between the jth index component of the i-th asphalt pavement block and the positive ideal solution after the interval entropy weight is normalized. It represents the lower limit of the distance between the jth index component of the i-th asphalt pavement block and the positive ideal solution after the interval entropy weight is normalized; Each asphalt pavement block and the negative ideal point R - The distance is calculated as: in, Represents the relationship between the i-th asphalt pavement block and the negative ideal point R - distance; According to the asphalt pavement blocks and the positive ideal point R + The distance between each asphalt pavement block and the negative ideal point R - The maintenance priority score of each asphalt pavement block is calculated based on the distance, and the calculation formula is: in, Indicates the maintenance priority score of each asphalt pavement block.

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