Highway maintenance decision target achievement degree evaluation method and device, equipment and medium

Abstract

This invention relates to the field of highway maintenance technology, and provides a method, apparatus, equipment, and medium for evaluating the achievement of highway maintenance decision-making objectives. The method includes: dividing the maintenance decision-making objective into multiple sub-objectives; calculating the synergy effect coefficient of each maintenance decision based on the synergistic relationship between the various maintenance decisions in the multi-dimensional maintenance decision-making process; calculating the achievement capability value of each maintenance decision for achieving its respective sub-objective; calculating the actual achievement degree and ideal achievement degree of the maintenance decision-making objective based on the synergy effect coefficient, achievement capability value, and utilization coefficient of each maintenance decision; and evaluating the maintenance decision-making objective based on the actual achievement degree and the ideal achievement degree. This invention enriches the evaluation indicators and clarifies the contribution of maintenance decisions to the maintenance decision-making objective by using multi-dimensional maintenance decisions and the achievement capability values ​​of maintenance decisions for achieving each sub-objective.

Description

Technical Field

[0001] This invention relates to the field of highway maintenance technology, and in particular to a method, apparatus, equipment and medium for evaluating the achievement of highway maintenance decision-making objectives. Background Technology

[0002] As a crucial part of the entire maintenance cycle, highway maintenance decision-making is closely linked to all stages, including inspection and evaluation, and maintenance operations. The goals set in maintenance decisions ultimately need to be evaluated for their rationality and achievability through phased implementation over multiple years. This assessment determines the investment benefits of the maintenance decisions, forming a comprehensive life-cycle technical service system encompassing "decision-implementation-post-evaluation." Evaluating the achievement of highway maintenance decision goals plays a vital role in measuring decision effectiveness, optimizing resource allocation, improving maintenance quality, and promoting scientific management decisions. However, current benefit assessments of the degree to which highway maintenance decisions achieve predetermined maintenance goals suffer from significant shortcomings, including the use of singular and isolated evaluation indicators and the unclear contribution of different maintenance decisions to the overall achievement of maintenance goals. Summary of the Invention

[0003] This invention provides a method, apparatus, equipment, and medium for evaluating the achievement of highway maintenance decision-making objectives, which addresses the shortcomings of existing technologies where evaluation indicators are singular and isolated, and the contribution of different maintenance decisions to the achievement of overall maintenance objectives is unclear. This invention provides a rich set of evaluation indicators and clarifies the contribution of different maintenance decisions to the achievement of overall maintenance objectives.

[0004] This invention provides a method for evaluating the achievement of highway maintenance decision-making objectives, comprising:

[0005] The maintenance decision objectives are divided into multiple maintenance decision sub-objectives;

[0006] Based on the synergistic relationship between various maintenance decisions in multidimensional maintenance decision-making, the synergistic effect coefficient of each maintenance decision is calculated;

[0007] Calculate the capability value of each maintenance decision to achieve the sub-objective of each maintenance decision;

[0008] Based on the synergy effect coefficient, the achievement capability value, and the utilization coefficient of each maintenance decision, calculate the actual achievement degree and the ideal achievement degree of the maintenance decision objectives;

[0009] The maintenance decision objectives are evaluated based on the actual degree of achievement and the ideal degree of achievement.

[0010] According to the present invention, a method for evaluating the achievement of highway maintenance decision-making objectives includes calculating the synergy effect coefficient of each maintenance decision based on the synergistic relationship among various maintenance decisions in a multi-dimensional maintenance decision-making process, comprising:

[0011] Based on the collaborative relationship between the maintenance decisions, the nodal degree of each maintenance decision is determined;

[0012] Determine the synergy values ​​among the various maintenance decisions;

[0013] Based on the node degree and the synergy value, the synergy effect coefficient of each maintenance decision is calculated.

[0014] According to the present invention, a method for evaluating the achievement of highway maintenance decision objectives includes calculating the achievement capability value of each maintenance decision for achieving each sub-objective of the maintenance decision, comprising:

[0015] The contribution weight of each maintenance decision sub-objective to the maintenance decision objective is calculated using the analytic hierarchy process (AHP).

[0016] The achievement capability score of each maintenance decision sub-objective to the maintenance decision objective is calculated using a quantitative scoring method.

[0017] Based on the contribution weight and the achievement capability score, calculate the achievement capability value of each maintenance decision for achieving each maintenance decision sub-objective.

[0018] According to the present invention, a method for evaluating the achievement degree of highway maintenance decision objectives includes calculating the actual achievement degree and ideal achievement degree of the maintenance decision objectives based on the synergy effect coefficient, the achievement capability value, and the utilization coefficient of each maintenance decision, comprising:

[0019] Through formula Calculate the actual degree of realization and the ideal degree of realization;

[0020] Among them, u k s represents the capability value for implementing maintenance decision k. k x represents the synergistic effect coefficient of maintenance decision k; k This represents the coefficient used in maintenance decision k.

[0021] According to the present invention, a method for evaluating the achievement of highway maintenance decision-making objectives includes evaluating the maintenance decision-making objectives based on the actual achievement and the ideal achievement, comprising:

[0022] Determine the achievement threshold based on the ideal achievement degree;

[0023] If the actual achievement degree is greater than or equal to the achievement degree threshold, then the maintenance decision objective is determined to be well achieved.

[0024] According to the present invention, a method for evaluating the achievement of highway maintenance decision-making objectives is provided, wherein the multi-dimensional maintenance decision-making includes maintenance funding decisions, maintenance personnel scheduling decisions, maintenance equipment scheduling decisions, maintenance material usage decisions, maintenance implementation section decisions, and maintenance technology decisions.

[0025] The maintenance decision-making sub-objectives include the proportion of preventive maintenance, weighted PCI value, superior road rate, maintenance efficiency and cycle, traffic safety improvement rate, and driving comfort survey satisfaction rate.

[0026] According to a method for evaluating the achievement of highway maintenance decision-making objectives provided by the present invention, after evaluating the maintenance decision-making objectives based on the actual achievement and the ideal achievement, the method further includes:

[0027] Based on the constructed variable weight adjustment function, the future attainment degree of the maintenance decision objectives in the future time period and the future ideal attainment degree under the ideal state are calculated;

[0028] Based on the future realization degree and the future ideal realization degree, the weights of the maintenance decision sub-objectives for future time periods are adjusted.

[0029] The present invention also provides a device for evaluating the achievement of highway maintenance decision-making objectives, comprising the following modules:

[0030] The partitioning module is configured to divide maintenance decision objectives into multiple maintenance decision sub-objectives;

[0031] The first calculation module is configured to calculate the synergy effect coefficient of each maintenance decision based on the synergy relationship between each maintenance decision in the multidimensional maintenance decision-making process.

[0032] The second calculation module is configured to calculate the capability value of each maintenance decision to achieve the sub-objective of each maintenance decision;

[0033] The third calculation module is configured to calculate the actual degree of achievement and the ideal degree of achievement of the maintenance decision objectives based on the synergy effect coefficient, the achievement capability value and the utilization coefficient of each maintenance decision.

[0034] The evaluation module is configured to evaluate the maintenance decision objectives based on the actual degree of achievement and the ideal degree of achievement.

[0035] The present invention also provides an electronic device, including a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor executes the program to implement the highway maintenance decision target achievement evaluation method as described above.

[0036] The present invention also provides a non-transitory computer-readable storage medium having a computer program stored thereon, which, when executed by a processor, implements the highway maintenance decision target achievement evaluation method as described above.

[0037] The present invention also provides a computer program product, including a computer program that, when executed by a processor, implements the highway maintenance decision target achievement evaluation method as described above.

[0038] This invention provides a method, apparatus, equipment, and medium for evaluating the achievement of highway maintenance decision-making objectives. It divides maintenance decision-making objectives into multiple sub-objectives, calculates the synergy coefficient of each decision based on the collaborative relationships between these multi-dimensional decisions, and then calculates the achievement capability value of each sub-objective. Based on the synergy coefficient, achievement capability value, and utilization coefficient of each decision, it calculates the actual achievement degree and the ideal achievement degree under ideal conditions. A comprehensive evaluation of the maintenance decision-making objectives is then conducted based on these actual and ideal achievement degrees. By enriching the evaluation indicators through multi-dimensional maintenance decision-making and considering the collaborative relationships between decisions, the contribution of different decisions to the achievement capability of their sub-objectives is clarified. Attached Figure Description

[0039] To more clearly illustrate the technical solutions in this invention or the prior art, the drawings used in the description of the embodiments or the prior art will be briefly introduced below. Obviously, the drawings described below are some embodiments of this invention. For those skilled in the art, other drawings can be obtained from these drawings without creative effort.

[0040] Figure 1 This is a flowchart illustrating the method for evaluating the achievement of highway maintenance decision-making objectives provided by this invention.

[0041] Figure 2 This is a schematic diagram illustrating the collaborative relationship between maintenance decisions in the embodiments provided by the present invention.

[0042] Figure 3 This is a schematic diagram illustrating the contribution relationship between maintenance decisions and maintenance decision sub-objectives in the examples provided by this invention.

[0043] Figure 4 This is a schematic diagram illustrating the changes in maintenance targets n years after the maintenance decision in the embodiments provided by the present invention.

[0044] Figure 5 This is a schematic diagram illustrating the relationship between the expected value and the variable weight adjustment function provided by this invention.

[0045] Figure 6This is a schematic diagram of the structure of the highway maintenance decision-making target achievement evaluation device provided by the present invention.

[0046] Figure 7 This is a schematic diagram of the structure of the electronic device provided by the present invention. Detailed Implementation

[0047] To make the objectives, technical solutions, and advantages of this invention clearer, the technical solutions of this invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some, not all, of the embodiments of this invention. All other embodiments obtained by those skilled in the art based on the embodiments of this invention without creative effort are within the scope of protection of this invention.

[0048] The following is combined Figures 1-5 This invention describes a method for evaluating the achievement of highway maintenance decision-making objectives.

[0049] Figure 1 This is a flowchart illustrating a method for evaluating the achievement of highway maintenance decision-making objectives, according to an exemplary embodiment. Figure 1 As shown in an exemplary embodiment, the method for evaluating the achievement of highway maintenance decision-making objectives includes steps 110 to 150, which are described in detail below.

[0050] Step 110: Divide the maintenance decision objectives into multiple maintenance decision sub-objectives.

[0051] In this embodiment of the invention, multi-dimensional maintenance decisions and maintenance decision objectives are obtained, and the maintenance decision objectives are divided into multiple maintenance decision sub-objectives.

[0052] In an exemplary embodiment of the present invention, the multidimensional maintenance decision includes maintenance funding decision, maintenance personnel scheduling decision, maintenance equipment scheduling decision, maintenance material usage decision, maintenance implementation section decision, and maintenance technology decision.

[0053] The maintenance decision-making sub-objectives include the proportion of preventive maintenance, weighted PCI value, superior road rate, maintenance efficiency and cycle, traffic safety improvement rate, and driving comfort survey satisfaction rate.

[0054] In this embodiment of the invention, there are six maintenance decisions: maintenance funding decision R1, maintenance personnel scheduling decision R2, maintenance equipment scheduling decision R3, maintenance material usage decision R4, maintenance implementation section decision R5, and maintenance technology decision R6.

[0055] The maintenance decision objectives are divided into six sub-objectives: preventive maintenance ratio (O1), weighted PCI value (O2), excellent road rate (O3), maintenance efficiency and cycle (O4), traffic safety improvement rate (O5), and driving comfort survey satisfaction rate (O6). 6。

[0056] Some maintenance decisions are synergistic. Specifically, maintenance funding decision R1 and maintenance personnel scheduling decision R2 are synergistic. 12 The maintenance funding decision R1 and the maintenance equipment scheduling decision R3 have a collaborative relationship. 13 The maintenance funding decision R1 and the maintenance material usage decision R4 have a synergistic relationship. 14 The maintenance funding decision R1 and the maintenance implementation section decision R5 have a synergistic relationship. 15 The maintenance funding decision R1 and the maintenance technology decision R6 have a synergistic relationship. 16 The scheduling decisions for maintenance workers (R2) and maintenance equipment (R3) have a synergistic relationship (S). 23 The scheduling decision R2 for maintenance construction personnel and the maintenance technology decision R6 have a synergistic relationship. 26 The maintenance equipment scheduling decision R3 and the maintenance material usage decision R4 have a synergistic relationship. 34 The maintenance equipment scheduling decision R3 and the maintenance technology decision R6 have a synergistic relationship. 36 The maintenance material usage decision (R4) and maintenance technology decision (R6) have a synergistic relationship. 46 The road section maintenance implementation decision R5 and the maintenance technology decision R6 have a synergistic relationship. 56 Based on the collaborative relationships between maintenance decisions, a system can be constructed as follows: Figure 2 The diagram illustrates the synergistic relationship between two maintenance decisions, indicating that they are connected.

[0057] Build as Figure 3 The diagram illustrates the contribution of maintenance decisions to the achievement of various maintenance sub-objectives. Maintenance funding decision R1 contributes to the proportion of preventative maintenance (O1), weighted PCI value (O2), rate of roads classified as superior (O3), maintenance efficiency and maintenance cycle (O4), traffic safety improvement rate (O5), and driving comfort survey satisfaction rate (O6). Maintenance personnel scheduling decision R2 contributes to maintenance efficiency and maintenance cycle (O4). Maintenance equipment scheduling decision R3 contributes to the weighted PCI value (O2), maintenance efficiency, and maintenance cycle (O4). Maintenance material usage decision R4 contributes to the weighted PCI value (O2), maintenance efficiency, and maintenance cycle (O4). Maintenance implementation section decision R5 contributes to the proportion of preventative maintenance (O1), rate of roads classified as superior (O3), traffic safety improvement rate (O5), and driving comfort survey satisfaction rate (O6). Maintenance technology decision R6 contributes to the weighted PCI value (O2), maintenance efficiency, and maintenance cycle (O4).

[0058] Step 120: Based on the synergistic relationship between various maintenance decisions in the multidimensional maintenance decision-making process, calculate the synergistic effect coefficient of each maintenance decision.

[0059] In this embodiment of the invention, based on such Figure 2 The diagram illustrates the synergistic relationships among maintenance decisions in a multidimensional maintenance decision-making process, calculating the synergistic effect coefficients for each decision. These coefficients characterize the synergistic effect between maintenance decisions, indicating that each decision has a certain impact on the achievement of the final maintenance objective. Furthermore, the synergistic processing of different maintenance decisions will have varying impacts on the achievement of the final maintenance objective.

[0060] Step 130: Calculate the capability value of each maintenance decision to achieve the sub-objective of each maintenance decision.

[0061] In this embodiment of the invention, the capability value for achieving each maintenance decision to realize its respective sub-objective is calculated. The capability value characterizes the ability of the maintenance decision to achieve its sub-objective.

[0062] Step 140: Calculate the actual degree of achievement and the ideal degree of achievement of the maintenance decision objectives based on the synergy effect coefficient, the achievement capability value, and the utilization coefficient of each maintenance decision.

[0063] In this embodiment of the invention, the actual degree of achievement of the maintenance decision objectives and the ideal degree of achievement under ideal conditions are calculated based on the synergy effect coefficient, the achievement capability value, and the utilization coefficient of each maintenance decision. The degree of achievement of the maintenance decision objectives takes into account the synergistic relationship between maintenance decisions and the ability of maintenance decisions to achieve their sub-objectives.

[0064] Step 150: Evaluate the maintenance decision objective based on the actual achievement and the ideal achievement.

[0065] In this embodiment of the invention, the maintenance decision objective is evaluated based on the calculated degree of achievement and the target achievement under ideal conditions.

[0066] In this embodiment of the invention, by considering the synergistic relationship between different maintenance decisions and the ability of different maintenance decisions to achieve the sub-objectives of maintenance decisions, the maintenance decision objectives are accurately evaluated. This invention establishes a complete evaluation process for the achievement of highway maintenance decision objectives, employing a combination of quantitative and qualitative methods to conduct phased assessments of the degree to which maintenance decisions achieve predetermined maintenance objectives. The evaluation results can provide a theoretical basis for improving maintenance decision-making methods and optimizing maintenance decision-making models, and provide a solid foundation for establishing a realistic relationship between maintenance inputs and outputs.

[0067] In an exemplary embodiment of the present invention, the step of calculating the synergistic effect coefficient of each maintenance decision based on the synergistic relationship between the maintenance decisions in the multidimensional maintenance decision-making process includes the following steps, which are described in detail below.

[0068] Based on the collaborative relationship between the maintenance decisions, the node degree of each maintenance decision is determined.

[0069] Determine the synergy values ​​among the various maintenance decisions.

[0070] Based on the node degree and the synergy value, the synergy effect coefficient of each maintenance decision is calculated.

[0071] In this embodiment of the invention, based on such Figure 2 The collaborative relationships shown determine the nodal degree of each maintenance decision. The nodal degree is the number of other maintenance decisions that have a collaborative relationship with each maintenance decision, such as... Figure 2 As shown, the node degree of maintenance funding decision R1 is P1=5, the node degree of maintenance construction personnel scheduling decision R2 is P2=3, the node degree of maintenance equipment scheduling decision R3 is P3=4, the node degree of maintenance material usage decision R4 is P4=3, the node degree of maintenance implementation section decision R5 is P5=2, and the node degree of maintenance technology decision R6 is P6=5.

[0072] The synergy values ​​among the various maintenance decisions are shown in Table 1 below.

[0073] Table 1

[0074]

[0075] Based on the node degree and synergy value, calculate the synergy effect coefficient of each maintenance decision.

[0076] Specifically, the synergy coefficient is calculated using the following formula.

[0077] ;

[0078] Among them, S k Indicates maintenance decision R k The synergistic effect coefficient; p k Indicates maintenance decision R k The degree of the node, S kl Indicates maintenance decision R k and maintenance decision R l The synergistic value between them.

[0079] Therefore, based on the above formula, the synergistic effect coefficients of the six maintenance decisions are calculated as follows.

[0080] ;

[0081] 0.233;

[0082] 0.175;

[0083] 0.117;

[0084] 0.425;

[0085] 0.22.

[0086] in, to The synergistic effect coefficients are respectively for maintenance funding decision R1, maintenance construction personnel scheduling decision R2, maintenance equipment scheduling decision R3, maintenance material usage decision R4, maintenance implementation section decision R5, and maintenance technology decision R6.

[0087] In an exemplary embodiment of the present invention, the calculation of the achievement capability value of each maintenance decision for realizing each maintenance decision sub-objective includes the following steps, which are described in detail below.

[0088] The contribution weight of each maintenance decision sub-objective to the maintenance decision objective is calculated using the analytic hierarchy process (AHP).

[0089] The achievement capability score of each maintenance decision sub-objective to the maintenance decision objective is calculated using a quantitative scoring method.

[0090] Based on the contribution weight and the achievement capability score, calculate the achievement capability value of each maintenance decision for achieving each maintenance decision sub-objective.

[0091] In this embodiment of the invention, contribution weights are calculated based on the Analytic Hierarchy Process (AHP). Specifically, in the AHP, a judgment matrix is ​​constructed using the consensus matrix method to determine the contribution capability of maintenance decision sub-objectives to the overall maintenance decision objective. The consistency matrix method does not compare all factors together, but rather compares them pairwise. It uses a relative scale to minimize the difficulty of comparing factors with different properties, thereby improving accuracy. The constructed judgment matrix is ​​shown in Table 2 below.

[0092] Table 2

[0093]

[0094] The largest eigenvalue of the judgment matrix is ​​found using the eigenvalue solving method. Then, the consistency index (CI) and consistency ratio (CR) are calculated. The eigenvector W is normalized (so that the sum of all elements in the vector is 1), allowing the calculation of the contribution weights of the maintenance decision sub-objectives to the overall maintenance decision objective. : Find the largest eigenvalue The eigenvectors of are denoted as W after normalization.

[0095] Find the largest eigenvalue The corresponding eigenvectors are used to calculate the consistency index (CI) and consistency ratio (CR) (consistency verification is passed when CR < 0.1). Normalizing the eigenvectors W allows for the calculation of the contribution weights of sub-objectives to the overall maintenance objective. Consistency index (CI), consistency ratio (CR), and contribution weight. The formula is shown below.

[0096] ;

[0097] ;

[0098] ;

[0099] .

[0100] Where A is the judgment matrix; Let W be the largest eigenvalue corresponding to matrix A; W be the eigenvector; CR be the consistency ratio; CI be the consistency index; and n be the order of the judgment matrix.

[0101] To measure the magnitude of CI, the average random consistency index RI is introduced, which in turn yields the consistency ratio CR. Generally, when the consistency ratio CR < 0.1, the degree of inconsistency of the judgment matrix is ​​considered to be within the acceptable range, indicating satisfactory consistency, and it can pass the consistency check. The normalized eigenvector of the judgment matrix can be used as the weight vector. Otherwise, the judgment matrix needs to be reconstructed until the consistency ratio CR corresponding to the reconstructed judgment matrix is ​​less than 0.1.

[0102] Based on the judgment matrix constructed using the analytic hierarchy process (AHP) as shown in Table 2 above, the consistency ratio CR = 0.012 < 0.1, therefore the consistency verification is passed. Subsequently, the contribution weights of each maintenance decision sub-objective to the overall maintenance decision objective are calculated. As shown in List 3 below.

[0103] Table 3

[0104]

[0105] R values ​​for each maintenance decision were calculated using a quantitative scoring method. k Achieve maintenance decision-making sub-objective O i The achievement capability score. The upcoming maintenance decision R... k Achieve maintenance decision-making sub-objective O i Achievement capability score u ikThe description is a linguistic variable used for evaluation. The linguistic variable uses a rating scale from 0 to 5, with higher scores indicating a stronger ability of maintenance decisions to achieve their sub-objectives, and lower scores indicating a weaker ability.

[0106] In one embodiment, each maintenance decision R k Achieve each maintenance decision sub-objective O i Achievement capability score u ik As shown in List 4 below.

[0107] Table 4

[0108]

[0109] Based on the contribution weight and achievement capability score, the achievement capability value of each maintenance decision for achieving the sub-objectives of each maintenance decision is calculated using the following formula. .

[0110] .

[0111] Specifically, the capability values ​​of the six maintenance decisions for achieving the sub-objectives of each maintenance decision are as follows:

[0112] 4.0663;

[0113] 0.3176;

[0114] 1.0832;

[0115] 2.7945;

[0116] 2.3207;

[0117] 1.1626.

[0118] In an exemplary embodiment of the present invention, the step of calculating the actual degree of realization and the ideal degree of realization of the maintenance decision objective based on the synergy effect coefficient, the realization capability value and the utilization coefficient of each maintenance decision includes the following steps, which are described in detail below.

[0119] Through formula Calculate the actual degree of realization and the ideal degree of realization;

[0120] Among them, u k s represents the capability value for implementing maintenance decision k. k x represents the synergistic effect coefficient of maintenance decision k; k This represents the coefficient used in maintenance decision k.

[0121] In this embodiment of the invention, the actual degree of realization and the ideal degree of realization are calculated using the above formula. The actual degree of realization is calculated based on the actual synergy coefficient, the realization capability value, and the utilization coefficient, while the ideal degree of realization is based on all realization capabilities u. ik The maximum realization degree U calculated when all linguistic variables are taken as their maximum values. max .

[0122] The coefficient of use of maintenance decision k x 𝑘 It is a 0-1 variable, indicating whether maintenance decision k is used, as shown below.

[0123] .

[0124] Based on the data from the aforementioned embodiments, the actual implementation degree can be calculated as shown in List 5 below.

[0125] Table 5

[0126]

[0127] Therefore, under ideal conditions, maintenance decision R k Achieve each maintenance decision sub-objective O i The ideal realization degree U when the realization capability score is the maximum value of 5. max =16.239.

[0128] In an exemplary embodiment of the present invention, the evaluation of the maintenance decision objective based on the actual degree of realization and the ideal degree of realization includes the following steps, which are described in detail below.

[0129] The realization threshold is determined based on the ideal realization degree.

[0130] If the actual achievement degree is greater than or equal to the achievement degree threshold, then the maintenance decision objective is determined to be well achieved.

[0131] In this embodiment of the invention, the realization threshold is determined based on the ideal realization degree. For example, the realization threshold is obtained by multiplying the ideal realization degree by a threshold weight, such as 0.8U. max When the actual achievement rate is greater than or equal to the achievement rate threshold, the highway pavement maintenance decision objectives are considered to have been achieved well; otherwise, the highway pavement maintenance decision objectives are considered to have been poorly achieved.

[0132] In an exemplary embodiment of the present invention, after evaluating the maintenance decision objective based on the actual degree of realization and the ideal degree of realization, the method further includes the following steps, which are described in detail below.

[0133] Based on the constructed variable weight adjustment function, the future attainment rate of the maintenance decision objectives in the future time period and the future ideal attainment rate under ideal conditions are calculated.

[0134] Based on the future realization degree and the future ideal realization degree, the weights of the maintenance decision sub-objectives for future time periods are adjusted.

[0135] In this embodiment of the invention, an overall variable weight adjustment function is constructed, as shown below.

[0136] ;

[0137] Where W(X) is the variable weight vector; W 0 S(X) is a constant weight vector; S(X) is a state-varying weight vector; ω i S represents the constant weight of the i-th maintenance decision sub-objective; i (X) is the state-weighted vector of the i-th maintenance decision sub-objective.

[0138] Please see Figure 4 In this embodiment of the invention, the weight of the maintenance decision changes with the number of years since the decision was made. Taking the 1st, 3rd, and 5th years after the implementation of a maintenance decision as an example, as the maintenance period increases, the decreasing trend of the achievement capability value of some maintenance decision sub-objectives becomes more and more obvious, and its impact on the overall achievement of the maintenance decision objective becomes more and more significant.

[0139] Based on the aforementioned overall variable weight adjustment function, the following specific variable weight adjustment functions are constructed, and the relationship between the expected value of the maintenance decision objective and the variable weight function is as follows: Figure 5 As shown:

[0140] .

[0141] Where x represents the expected value of the maintenance decision objective, with a value range of 0-1; c, c1, and c2 are weight adjustment parameters, and μ, λ, α, and β are interval thresholds.

[0142] With μ=0.6, λ=0.7, α=0.8, β=1.0, c=0.2, c1=0.3, c2=0.5, the variable weight adjustment function shown below is obtained.

[0143] .

[0144] The adjusted contribution weights of each maintenance decision sub-objective are calculated using the aforementioned variable weight adjustment function.

[0145] In one example, the weight values ​​of the maintenance decision sub-objectives in the variable weight adjustment table after the implementation of the maintenance decision are shown in Table 6 below.

[0146] Table 6

[0147]

[0148] Understandably, as shown in the table above, over the five years following the implementation of a maintenance decision, the weight of the maintenance decision adjusts accordingly with changes in expected values. Ultimately, the overall future attainment rate of the maintenance decision objective, U > 0.8U, is obtained up to the third year after its implementation. max This means that after making maintenance decisions, the expected maintenance results are achieved. However, calculations five years after the maintenance decisions were made show that the overall future achievability of the maintenance decision goals, U<0.8U, is still within the range. max If the decision-making objectives for highway pavement maintenance are not consistently met, it is advisable to adjust maintenance decision-making methods to achieve maintenance results over a longer period.

[0149] The following describes the highway maintenance decision-making target achievement evaluation device provided by the present invention. The highway maintenance decision-making target achievement evaluation device described below can be referred to in correspondence with the highway maintenance decision-making target achievement evaluation method described above. It should be noted that the device provided in the following embodiments belongs to the same concept as the method provided in the above embodiments, and the specific way in which each module and unit performs its operation has been described in detail in the method embodiments, and will not be repeated here.

[0150] In one exemplary embodiment of the present invention, please refer to Figure 6 , Figure 6 This is an exemplary embodiment of a highway maintenance decision-making objective achievement evaluation device, which includes the following modules.

[0151] The partitioning module 610 is configured to divide the maintenance decision objective into multiple maintenance decision sub-objectives.

[0152] The first calculation module 620 is configured to calculate the synergy effect coefficient of each maintenance decision based on the synergy relationship between each maintenance decision in the multidimensional maintenance decision-making process.

[0153] The second calculation module 630 is configured to calculate the capability value of each maintenance decision to achieve the sub-objective of each maintenance decision.

[0154] The third calculation module 640 is configured to calculate the actual degree of realization and the ideal degree of realization of the maintenance decision objectives based on the synergy effect coefficient, the realization capability value and the utilization coefficient of each maintenance decision.

[0155] The evaluation module 650 is configured to evaluate the maintenance decision objective based on the actual degree of achievement and the ideal degree of achievement.

[0156] In an exemplary embodiment of the present invention, the first computing module 620 includes the following sub-modules.

[0157] The first determining submodule is configured to determine the node degree of each maintenance decision based on the collaborative relationship between the maintenance decisions.

[0158] The second determining submodule is configured to determine the coordination value between the various maintenance decisions.

[0159] The first calculation submodule is configured to calculate the synergy effect coefficient of each of the maintenance decisions based on the node degree and the synergy value.

[0160] In one exemplary embodiment of the present invention, the second computing module 630 includes the following sub-modules.

[0161] The second calculation submodule is configured to calculate the contribution weight of each of the maintenance decision sub-objectives to the maintenance decision objective using the analytic hierarchy process.

[0162] The third calculation submodule is configured to calculate the achievement capability score of each of the maintenance decision sub-objectives to the maintenance decision objective using a quantitative scoring method.

[0163] The fourth calculation submodule is configured to calculate the achievement capability value of each maintenance decision for achieving each maintenance decision sub-objective based on the contribution weight and the achievement capability score.

[0164] In an exemplary embodiment of the present invention, the third computing module 640 includes the following sub-modules.

[0165] The fifth calculation submodule is configured to use formulas. Calculate the actual degree of realization and the ideal degree of realization.

[0166] Among them, u k s represents the capability value for implementing maintenance decision k. k x represents the synergistic effect coefficient of maintenance decision k; k This represents the coefficient used in maintenance decision k.

[0167] In one exemplary embodiment of the present invention, the evaluation module 650 includes the following sub-modules.

[0168] The third determining submodule is configured to determine the realization threshold based on the ideal realization degree.

[0169] The fourth determination submodule is configured to determine that the maintenance decision objective is well achieved if the actual achievement degree is greater than or equal to the achievement degree threshold.

[0170] In an exemplary embodiment of the present invention, the multidimensional maintenance decision includes maintenance funding decision, maintenance personnel scheduling decision, maintenance equipment scheduling decision, maintenance material usage decision, maintenance implementation section decision, and maintenance technology decision;

[0171] The maintenance decision-making sub-objectives include the proportion of preventive maintenance, weighted PCI value, superior road rate, maintenance efficiency and cycle, traffic safety improvement rate, and driving comfort survey satisfaction rate.

[0172] In an exemplary embodiment of the present invention, the highway maintenance decision-making objective achievement evaluation device further includes the following modules.

[0173] The fourth calculation module is configured to calculate the future attainment rate of the maintenance decision objectives and the future ideal attainment rate under ideal conditions based on the constructed variable weight adjustment function.

[0174] The adjustment module is configured to adjust the weights of maintenance decision sub-objectives for future time periods based on the future realization degree and the future ideal realization degree.

[0175] Figure 7 An example is a schematic diagram of the physical structure of an electronic device, such as... Figure 7 As shown, the electronic device may include: a processor 710, a communications interface 720, a memory 730, and a communication bus 740, wherein the processor 710, the communications interface 720, and the memory 730 communicate with each other through the communication bus 740. The processor 710 can call logical instructions in the memory 730 to execute a method for evaluating the achievement degree of highway maintenance decision objectives. This method includes: dividing the maintenance decision objective into multiple maintenance decision sub-objectives; calculating the synergy effect coefficient of each maintenance decision based on the synergy relationship between the maintenance decisions in the multi-dimensional maintenance decision; calculating the achievement capability value of each maintenance decision for achieving each maintenance decision sub-objective; calculating the actual achievement degree and ideal achievement degree of the maintenance decision objective based on the synergy effect coefficient, the achievement capability value, and the utilization coefficient of each maintenance decision; and evaluating the maintenance decision objective based on the actual achievement degree and the ideal achievement degree.

[0176] Furthermore, the logical instructions in the aforementioned memory 730 can be implemented as software functional units and, when sold or used as independent products, can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the present invention, essentially, or the part that contributes to the prior art, or a part of the technical solution, can be embodied in the form of a software product. This computer software product is stored in a storage medium and includes several instructions to cause a computer device (which may be a personal computer, server, or network device, etc.) to execute all or part of the steps of the methods described in the various embodiments of the present invention. The aforementioned storage medium includes various media capable of storing program code, such as USB flash drives, portable hard drives, read-only memory (ROM), random access memory (RAM), magnetic disks, or optical disks.

[0177] On the other hand, the present invention also provides a computer program product, which includes a computer program that can be stored on a non-transitory computer-readable storage medium. When the computer program is executed by a processor, the computer is able to execute the highway maintenance decision target achievement evaluation method provided by the above methods. The method includes: dividing the maintenance decision target into multiple maintenance decision sub-targets; calculating the synergy effect coefficient of each maintenance decision based on the synergy relationship between the maintenance decisions in the multi-dimensional maintenance decision; calculating the achievement capability value of each maintenance decision for achieving each maintenance decision sub-target; calculating the actual achievement degree and ideal achievement degree of the maintenance decision target according to the synergy effect coefficient, the achievement capability value, and the utilization coefficient of each maintenance decision; and evaluating the maintenance decision target based on the actual achievement degree and the ideal achievement degree.

[0178] In another aspect, the present invention also provides a non-transitory computer-readable storage medium storing a computer program thereon, which, when executed by a processor, implements a method for evaluating the achievement degree of highway maintenance decision objectives provided by the methods described above. This method includes: dividing maintenance decision objectives into multiple maintenance decision sub-objectives; calculating the synergy effect coefficient of each maintenance decision based on the synergy relationship between the maintenance decisions in a multi-dimensional maintenance decision; calculating the achievement capability value of each maintenance decision for achieving each maintenance decision sub-objective; calculating the actual achievement degree and ideal achievement degree of the maintenance decision objective based on the synergy effect coefficient, the achievement capability value, and the utilization coefficient of each maintenance decision; and evaluating the maintenance decision objective based on the actual achievement degree and the ideal achievement degree.

[0179] The device embodiments described above are merely illustrative. The units described as separate components may or may not be physically separate. The components shown as units may or may not be physical units; that is, they may be located in one place or distributed across multiple network units. Some or all of the modules can be selected to achieve the purpose of this embodiment according to actual needs. Those skilled in the art can understand and implement this without any creative effort.

[0180] Through the above description of the embodiments, those skilled in the art can clearly understand that each embodiment can be implemented by means of software plus necessary general-purpose hardware platforms, and of course, it can also be implemented by hardware. Based on this understanding, the above technical solutions, in essence or the part that contributes to the prior art, can be embodied in the form of a software product. This computer software product can be stored in a computer-readable storage medium, such as ROM / RAM, magnetic disk, optical disk, etc., and includes several instructions to cause a computer device (which may be a personal computer, server, or network device, etc.) to execute the methods described in the various embodiments or some parts of the embodiments.

[0181] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention, and not to limit them; although the present invention has been described in detail with reference to the foregoing embodiments, those skilled in the art should understand that modifications can still be made to the technical solutions described in the foregoing embodiments, or equivalent substitutions can be made to some of the technical features; and these modifications or substitutions do not cause the essence of the corresponding technical solutions to deviate from the spirit and scope of the technical solutions of the embodiments of the present invention.

Claims

1. A method for evaluating the achievement of highway maintenance decision-making objectives, characterized in that, include: The maintenance decision objectives are divided into multiple maintenance decision sub-objectives; Based on the synergistic relationship between various maintenance decisions in multidimensional maintenance decision-making, the synergistic effect coefficient of each maintenance decision is calculated; Calculate the capability value of each maintenance decision for achieving the sub-objective of each maintenance decision; wherein the capability value is calculated based on the contribution weight and the capability score, and the capability score of each maintenance decision for achieving the sub-objective of the maintenance decision is calculated by a quantitative scoring method. Based on the synergy effect coefficient, the achievement capability value, and the usage coefficient of each maintenance decision, the actual achievement degree and the ideal achievement degree of the maintenance decision objective are calculated; wherein, the usage coefficient is a 0-1 variable, indicating whether the maintenance decision is used, and the ideal achievement degree is the maximum achievement degree calculated based on the condition that all achievement capability scores take the maximum value of the linguistic variables; The maintenance decision objectives are evaluated based on the actual degree of achievement and the ideal degree of achievement. The calculation of the synergy coefficient of each maintenance decision based on the synergistic relationship among the various maintenance decisions in the multidimensional maintenance decision-making process includes: Based on the collaborative relationships between the maintenance decisions, the node degree of each maintenance decision is determined; wherein, the node degree is the number of other maintenance decisions that have a collaborative relationship with each maintenance decision. Determine the synergy values ​​among the various maintenance decisions; Based on the node degree and the synergy value, the synergy effect coefficient of each maintenance decision is calculated using the following formula: ； Among them, S k Indicates maintenance decision R k The synergistic effect coefficient; p k Indicates maintenance decision R k The degree of the node, S kl Indicates maintenance decision R k and maintenance decision R l The synergistic value between them.

2. The method for evaluating the achievement of highway maintenance decision-making objectives according to claim 1, characterized in that, The calculation of the capability value of each maintenance decision to achieve the sub-objective of each maintenance decision includes: The contribution weight of each maintenance decision sub-objective to the maintenance decision objective is calculated using the analytic hierarchy process (AHP). The achievement capability score of each maintenance decision sub-objective to the maintenance decision objective is calculated using a quantitative scoring method. Based on the contribution weight and the achievement capability score, calculate the achievement capability value of each maintenance decision for achieving each maintenance decision sub-objective.

3. The method for evaluating the achievement of highway maintenance decision-making objectives according to claim 1, characterized in that, The step of calculating the actual and ideal achievement of the maintenance decision objectives based on the synergy effect coefficient, the achievement capability value, and the utilization coefficient of each maintenance decision includes: Through formula Calculate the actual degree of realization and the ideal degree of realization; Among them, u k s represents the capability value for implementing maintenance decision k. k x represents the synergistic effect coefficient of maintenance decision k; k This represents the coefficient used in maintenance decision k.

4. The method for evaluating the achievement of highway maintenance decision-making objectives according to claim 1, characterized in that, The evaluation of the maintenance decision objectives based on the actual degree of achievement and the ideal degree of achievement includes: Determine the achievement threshold based on the ideal achievement degree; If the actual achievement degree is greater than or equal to the achievement degree threshold, then the maintenance decision objective is determined to be well achieved.

5. The method for evaluating the achievement of highway maintenance decision-making objectives according to claim 1, characterized in that, The multidimensional maintenance decision-making includes maintenance funding decisions, maintenance personnel scheduling decisions, maintenance equipment scheduling decisions, maintenance material usage decisions, maintenance implementation section decisions, and maintenance technology decisions. The maintenance decision-making sub-objectives include the proportion of preventive maintenance, weighted PCI value, superior road rate, maintenance efficiency and cycle, traffic safety improvement rate, and driving comfort survey satisfaction rate.

6. The method for evaluating the achievement of highway maintenance decision-making objectives according to claim 1, characterized in that, After evaluating the maintenance decision objective based on the actual degree of achievement and the ideal degree of achievement, the method further includes: Based on the constructed variable weight adjustment function, the future attainment degree of the maintenance decision objectives in the future time period and the future ideal attainment degree under the ideal state are calculated; Based on the future realization degree and the future ideal realization degree, the weights of the maintenance decision sub-objectives for future time periods are adjusted.

7. A device for evaluating the achievement of highway maintenance decision-making objectives, characterized in that, include: The partitioning module is configured to divide maintenance decision objectives into multiple maintenance decision sub-objectives; The first calculation module is configured to calculate the synergy effect coefficient of each maintenance decision based on the synergy relationship between each maintenance decision in the multidimensional maintenance decision-making process. The second calculation module is configured to calculate the achievement capability value of each maintenance decision for achieving the sub-objective of each maintenance decision; wherein the achievement capability value is calculated based on the contribution weight and the achievement capability score, and the achievement capability score of each maintenance decision for achieving the sub-objective of the maintenance decision is calculated by a quantitative scoring method. The third calculation module is configured to calculate the actual degree of achievement and the ideal degree of achievement of the maintenance decision objectives based on the synergy effect coefficient, the achievement capability value, and the usage coefficient of each maintenance decision; wherein, the usage coefficient is a 0-1 variable, indicating whether the maintenance decision is used, and the ideal degree of achievement is the maximum degree of achievement calculated based on the condition that all achievement capability scores take the maximum value of the linguistic variables; The evaluation module is configured to evaluate the maintenance decision objectives based on the actual degree of achievement and the ideal degree of achievement; The first calculation module includes: The first determining submodule is configured to determine the node degree of each maintenance decision based on the collaborative relationship between the maintenance decisions; wherein, the node degree is the number of other maintenance decisions that have a collaborative relationship with each maintenance decision; The second determining submodule is configured to determine the coordination value between each of the maintenance decisions; The first calculation submodule is configured to calculate the synergy effect coefficient of each maintenance decision based on the node degree and the synergy value using the following formula: ； Among them, S k Indicates maintenance decision R k The synergistic effect coefficient; p k Indicates maintenance decision R k The degree of the node, S kl Indicates maintenance decision R k and maintenance decision R l The synergistic value between them.

8. An electronic device comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, characterized in that, When the processor executes the program, it implements the highway maintenance decision target achievement evaluation method as described in any one of claims 1 to 6.

9. A non-transitory computer-readable storage medium having a computer program stored thereon, characterized in that, When the computer program is executed by the processor, it implements the highway maintenance decision target achievement evaluation method as described in any one of claims 1 to 6.

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