Road maintenance decision-making target realization degree evaluation method, device, equipment and medium

Abstract

The invention relates to the technical field of road maintenance, and provides a road maintenance decision target realization degree evaluation method and device, equipment and a medium, and the method comprises the steps: dividing a maintenance decision target into a plurality of maintenance decision sub-targets; calculating a synergistic effect coefficient of each maintenance decision based on a synergistic relationship among the maintenance decisions in the multi-dimensional maintenance decisions; calculating the realization capability value of each maintenance decision pair for realizing each maintenance decision sub-target; according to the synergistic effect coefficient, the realization capability value and the use coefficient of each maintenance decision, calculating the actual realization degree and the ideal realization degree of the maintenance decision target; and evaluating the maintenance decision target based on the actual realization degree and the ideal realization degree. According to the invention, through the multi-dimensional maintenance decision and the realization capability value of the maintenance decision to each maintenance decision sub-target, the evaluation index is enriched, and the contribution of the maintenance decision to the maintenance decision target is clarified.

Description

Technical Field

[0001] The present invention relates to the technical field of highway maintenance, and in particular to a method, device, equipment and medium for evaluating the achievement of a highway maintenance decision-making target. Background Art

[0002] As an important part of the maintenance cycle, highway maintenance decision-making is closely linked to inspection and assessment, maintenance operations and other links. The goals set in the maintenance decision-making ultimately need to be implemented in stages over multiple years to evaluate the rationality and realization of the decision-making goals, and then judge the investment benefits generated by the maintenance decision, forming a full life cycle technical system service of "decision-implementation-post-evaluation". The evaluation of the realization of highway maintenance decision-making goals plays an important role in measuring the effectiveness of decisions, optimizing resource allocation, improving maintenance quality and promoting scientific management decisions. However, the current benefit evaluation of the degree to which highway maintenance decisions achieve established maintenance goals has prominent defects such as single and isolated evaluation indicators, and unclear contribution of different maintenance decisions to the realization of the overall maintenance goals. Summary of the invention

[0003] The present invention provides a method, device, equipment and medium for evaluating the achievement of highway maintenance decision targets, so as to solve the defects in the prior art that the evaluation indicators are single and isolated, and the contribution capacity of different maintenance decisions to the achievement of the overall maintenance target is unclear, so as to enrich the evaluation indicators and clarify the contribution capacity of different maintenance decisions to the achievement of the overall maintenance target.

[0004] The present invention provides a method for evaluating the achievement of a highway maintenance decision-making target, comprising: Divide the maintenance decision-making goal into multiple maintenance decision-making sub-goals; Based on the synergistic relationship between the maintenance decisions in the multidimensional maintenance decision, calculating the synergistic effect coefficient of each maintenance decision; Calculating the realization capability value of each maintenance decision for achieving each maintenance decision sub-goal; Calculating the actual degree of realization and the ideal degree of realization of the maintenance decision target according to the synergy effect coefficient, the realization capability value and the usage coefficient of each maintenance decision; The maintenance decision objective is evaluated based on the actual achievement degree and the ideal achievement degree.

[0005] According to a highway maintenance decision-making target achievement evaluation method provided by the present invention, the synergy effect coefficient of each maintenance decision is calculated based on the synergy relationship between the maintenance decisions in the multidimensional maintenance decision, including: Based on the collaborative relationship between the maintenance decisions, determining the node degree of each maintenance decision; determining a synergy value between each of the maintenance decisions; The synergy effect coefficient of each maintenance decision is calculated according to the node degree and the synergy value.

[0006] According to a highway maintenance decision target achievement evaluation method provided by the present invention, the calculation of the achievement capability value of each maintenance decision for achieving each maintenance decision sub-target includes: Calculating the contribution weight of each maintenance decision sub-goal to the maintenance decision goal through the hierarchical analysis method; Calculate the achievement score of each maintenance decision sub-goal to the maintenance decision goal through a quantitative scoring method; According to the contribution weight and the realization capability score, the realization capability value of each maintenance decision for achieving each maintenance decision sub-goal is calculated.

[0007] According to a highway maintenance decision target achievement evaluation method provided by the present invention, the actual achievement and ideal achievement of the maintenance decision target are calculated according to the synergy effect coefficient, the achievement capability value and the usage coefficient of each maintenance decision, including: By formula calculating the actual degree of realization and the ideal degree of realization; Among them, u k represents the realization capability value of maintenance decision k, s k represents the synergy effect coefficient of maintenance decision k; x k Represents the utilization coefficient of maintenance decision k.

[0008] According to a highway maintenance decision target achievement evaluation method provided by the present invention, the maintenance decision target is evaluated based on the actual achievement and the ideal achievement, including: Determining a realization degree threshold based on the ideal realization degree; If the actual achievement degree is greater than or equal to the achievement degree threshold, it is determined that the maintenance decision goal is achieved well.

[0009] According to a highway maintenance decision-making target achievement evaluation method provided by the present invention, the multi-dimensional maintenance decision includes maintenance funding decision, maintenance construction personnel scheduling decision, maintenance equipment scheduling decision, maintenance material use decision, maintenance implementation section decision, and maintenance technology decision; The maintenance decision sub-goals include preventive maintenance ratio, weighted PCI value, excellent road rate, maintenance efficiency and cycle, traffic safety improvement rate, and driving comfort survey satisfaction rate.

[0010] According to a highway maintenance decision target achievement evaluation method provided by the present invention, after evaluating the maintenance decision target based on the actual achievement and the ideal achievement, the method further includes: Based on the constructed variable weight adjustment function, the future realization degree of the maintenance decision-making target in the future time period and the future ideal realization 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-goals in the future time period are adjusted.

[0011] The present invention also provides a highway maintenance decision target achievement evaluation device, comprising the following modules: a partitioning module configured to partition the maintenance decision target into a plurality of maintenance decision sub-targets; A first calculation module is configured to calculate a synergy effect coefficient of each maintenance decision based on a synergy relationship between the maintenance decisions in the multidimensional maintenance decision; A second calculation module is configured to calculate the realization capability value of each maintenance decision for achieving each maintenance decision sub-goal; A third calculation module is configured to calculate the actual realization degree and the ideal realization degree of the maintenance decision target according to the synergy effect coefficient, the realization capability value and the usage coefficient of each maintenance decision; An evaluation module is configured to evaluate the maintenance decision target based on the actual achievement degree and the ideal achievement degree.

[0012] The present invention also provides an electronic device, comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein when the processor executes the program, any of the above-mentioned methods for evaluating the achievement of highway maintenance decision-making objectives is implemented.

[0013] The present invention also provides a non-transitory computer-readable storage medium having a computer program stored thereon, and when the computer program is executed by a processor, the method for evaluating the achievement of a highway maintenance decision target as described in any one of the above is implemented.

[0014] The present invention also provides a computer program product, comprising a computer program, wherein when the computer program is executed by a processor, the method for evaluating the achievement of a highway maintenance decision target as described above is implemented.

[0015] The highway maintenance decision target achievement evaluation method, device, equipment and medium provided by the present invention divide the maintenance decision target into multiple maintenance decision sub-targets, calculate the synergy effect coefficient of each maintenance decision based on the synergy relationship between the maintenance decisions in the multidimensional maintenance decision, and then calculate the realization capability value of each maintenance decision for realizing each maintenance decision sub-target, calculate the actual realization degree of the maintenance decision target and the ideal realization degree under ideal conditions according to the synergy effect coefficient, the realization capability value and the use coefficient of each maintenance decision, and comprehensively evaluate the maintenance decision target based on the actual realization degree and the ideal realization degree. By enriching the evaluation indicators through multidimensional maintenance decisions, while considering the synergy relationship between maintenance decisions, and based on the realization capability of different maintenance decisions for the maintenance decision sub-targets, the contribution to the overall maintenance decision is clarified. BRIEF DESCRIPTION OF THE DRAWINGS

[0016] In order to more clearly illustrate the technical solutions in the present invention or the prior art, the following briefly introduces the drawings required for use in the embodiments or the description of the prior art. Obviously, the drawings described below are some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative work.

[0017] Figure 1 It is a flow chart of the highway maintenance decision-making target achievement evaluation method provided by the present invention.

[0018] Figure 2 It is a schematic diagram of the collaborative relationship between maintenance decisions in the embodiment provided by the present invention.

[0019] Figure 3 It is a schematic diagram of the contribution relationship between the maintenance decision and the maintenance decision sub-goal in the example provided by the present invention.

[0020] Figure 4 It is a schematic diagram of changes in maintenance targets n years after a maintenance decision is made in an embodiment provided by the present invention.

[0021] Figure 5 It is a schematic diagram of the relationship between the expected value and the variable weight adjustment function provided by the present invention.

[0022] Figure 6 It is a structural schematic diagram of a highway maintenance decision target achievement evaluation device provided by the present invention.

[0023] Figure 7 It is a structural schematic diagram of the electronic device provided by the present invention. DETAILED DESCRIPTION

[0024] In order to make the purpose, technical solution and advantages of the present invention clearer, the technical solution of the present invention will be clearly and completely described below in conjunction with the drawings of the present invention. Obviously, the described embodiments are part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0025] Combine the following Figure 1-Figure 5 The present invention describes a method for evaluating the achievement of highway maintenance decision-making objectives.

[0026] Figure 1 FIG. 1 is a flow chart showing a method for evaluating the achievement of a highway maintenance decision-making target according to an exemplary embodiment. Figure 1 As shown, in an exemplary embodiment, the method for evaluating the achievement of a highway maintenance decision target includes steps 110 to 150, which are described in detail as follows.

[0027] Step 110, dividing the maintenance decision goal into a plurality of maintenance decision sub-goals.

[0028] In the embodiment of the present invention, a multi-dimensional maintenance decision and a maintenance decision target are obtained, and the maintenance decision target is divided into a plurality of maintenance decision sub-targets.

[0029] In an exemplary embodiment of the present invention, the multi-dimensional maintenance decision includes maintenance funding decision, maintenance construction personnel scheduling decision, maintenance equipment scheduling decision, maintenance material use decision, maintenance implementation section decision, and maintenance technology decision.

[0030] The maintenance decision sub-goals include preventive maintenance ratio, weighted PCI value, excellent road rate, maintenance efficiency and cycle, traffic safety improvement rate, and driving comfort survey satisfaction rate.

[0031] In the embodiment of the present invention, six maintenance decisions are divided, namely maintenance fund decision R1, maintenance construction personnel scheduling decision R2, maintenance equipment scheduling decision R3, maintenance material use decision R4, maintenance implementation section decision R5, and maintenance technology decision R6.

[0032] The maintenance decision-making target is divided into six maintenance decision-making sub-targets, namely, preventive maintenance ratio O1, weighted PCI value O2, excellent road rate O3, maintenance efficiency and cycle O4, traffic safety improvement rate O5, driving comfort survey satisfaction rate O6, and maintenance efficiency and cycle O7. 6。

[0033] Some maintenance decisions have a collaborative relationship. Specifically, the maintenance funding decision R1 and the maintenance construction personnel scheduling decision R2 have a collaborative relationship S 12, the maintenance fund decision R1 and the maintenance equipment scheduling decision R3 have a synergistic relationship S 13 , the maintenance fund decision R1 and the maintenance material use decision R4 have a synergistic relationship S 14 , the maintenance fund decision R1 and the maintenance implementation section decision R5 have a synergistic relationship S 15 , the maintenance funding decision R1 and the maintenance technology decision R6 have a synergistic relationship S 16 ; The maintenance construction personnel scheduling decision R2 and the maintenance equipment scheduling decision R3 have a collaborative relationship S 23 , the maintenance construction personnel scheduling decision R2 and the maintenance technology decision R6 have a collaborative relationship S 26 ; The maintenance equipment scheduling decision R3 and the maintenance material use decision R4 have a collaborative relationship S 34 , the maintenance equipment scheduling decision R3 and the maintenance technology decision R6 have a collaborative relationship S 36 ; The maintenance material use decision R4 and the maintenance technology decision R6 have a synergistic relationship S 46 ; The maintenance implementation section decision R5 and the maintenance technology decision R6 have a synergistic relationship S 56 According to the synergistic relationship between maintenance decisions, the following Figure 2 The schematic diagram of the synergistic relationship shown in the figure shows that the two maintenance decisions are connected, indicating that they have a synergistic relationship.

[0034] Build as Figure 3 The figure shows the contribution relationship between the maintenance decision and the achievement degree of each maintenance decision sub-goal. The maintenance fund decision R1 has a contribution relationship with the preventive maintenance proportion O1, the weighted PCI value O2, the superior road rate O3, the maintenance efficiency and maintenance cycle O4, the traffic safety improvement rate O5, and the driving comfort survey satisfaction rate O6; the maintenance construction personnel scheduling decision R2 has a contribution relationship with the maintenance efficiency and maintenance cycle O4; the maintenance equipment scheduling decision R3 has a contribution relationship with the weighted PCI value O2, the maintenance efficiency and maintenance cycle O4; the maintenance material use decision R4 has a contribution relationship with the weighted PCI value O2, the maintenance efficiency and maintenance cycle O4; the maintenance implementation section decision R5 has a contribution relationship with the preventive maintenance proportion O1, the superior road rate O3, the traffic safety improvement rate O5, and the driving comfort survey satisfaction rate O6; the maintenance technology decision R6 has a contribution relationship with the weighted PCI value O2, the maintenance efficiency and maintenance cycle O4.

[0035] Step 120, based on the synergistic relationship between the maintenance decisions in the multidimensional maintenance decision, calculate the synergistic effect coefficient of each maintenance decision.

[0036] In the embodiment of the present invention, based on Figure 2The synergistic relationship between maintenance decisions in the multidimensional maintenance decision is shown, and the synergistic effect coefficient of each maintenance decision is calculated. The synergistic effect coefficient represents the synergistic effect between maintenance decisions. Maintenance decisions have a certain influence on the realization of the final maintenance decision goal, and the synergistic processing between different maintenance decisions will have different influences on the realization of the final maintenance decision goal.

[0037] Step 130, calculating the realization capability value of each maintenance decision for achieving each maintenance decision sub-goal.

[0038] In the embodiment of the present invention, the realization capability value of each maintenance decision pair for realizing each maintenance decision sub-goal is calculated. The realization capability value represents the ability of the maintenance decision pair to realize the maintenance decision sub-goal.

[0039] Step 140, calculating the actual degree of realization and the ideal degree of realization of the maintenance decision target according to the synergy effect coefficient, the realization capability value and the usage coefficient of each maintenance decision.

[0040] In the embodiment of the present invention, the actual realization degree of the maintenance decision target and the ideal realization degree under ideal conditions are calculated according to the synergy effect coefficient, the realization capability value and the use coefficient of each maintenance decision. The realization degree of the maintenance decision target takes into account the synergy relationship between the maintenance decisions and the realization capability of the maintenance decision for the maintenance decision sub-goals.

[0041] Step 150: Evaluate the maintenance decision target based on the actual achievement degree and the ideal achievement degree.

[0042] In the embodiment of the present invention, the maintenance decision target is evaluated based on the calculated realization degree and the target realization degree under the ideal state.

[0043] In the embodiment of the present invention, by considering the synergistic relationship between different maintenance decisions and the ability of different maintenance decisions to achieve maintenance decision sub-goals, the maintenance decision goals are accurately evaluated. The present invention completely establishes the evaluation process of the achievement of highway maintenance decision goals, and adopts a combination of quantitative and qualitative methods to carry out target achievement evaluation in stages on the degree to which maintenance decisions achieve established maintenance goals; the evaluation results can provide a theoretical basis for improving maintenance decision methods and optimizing maintenance decision models, and provide a solid foundation for establishing a maintenance input-output relationship that conforms to reality.

[0044] In an exemplary embodiment of the present invention, the synergy effect coefficient of each maintenance decision is calculated based on the synergy relationship between the maintenance decisions in the multi-dimensional maintenance decision, including the following steps, which are described in detail as follows.

[0045] Based on the collaborative relationship between the maintenance decisions, the node degree of each maintenance decision is determined.

[0046] A synergy value between each of the maintenance decisions is determined.

[0047] The synergy effect coefficient of each maintenance decision is calculated according to the node degree and the synergy value.

[0048] In the embodiment of the present invention, based on Figure 2 The synergistic relationship shown in the figure determines the node degree of each maintenance decision. The node degree is the number of other maintenance decisions with which each maintenance decision has a synergistic relationship, 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 use 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.

[0049] The synergy values ​​between various maintenance decisions are shown in Table 1 below.

[0050] Table 1

[0051] According to the node degree and synergy value, the synergy effect coefficient of each maintenance decision is calculated.

[0052] Specifically, the synergistic effect coefficient is calculated by the following formula.

[0053] ; Among them, S k Represents maintenance decision R k The synergistic effect coefficient; p k Represents maintenance decision R k The node degree, S kl Represents maintenance decision R k and maintenance decision R l The synergy value between them.

[0054] Therefore, based on the above formula, the calculated synergy coefficients of the six maintenance decisions are as follows.

[0055] ; 0.233; 0.175; 0.117; 0.425; 0.22.

[0056] in, to They are the synergy effect coefficients of maintenance fund decision R1, maintenance construction personnel scheduling decision R2, maintenance equipment scheduling decision R3, maintenance material use decision R4, maintenance implementation section decision R5, and maintenance technology decision R6.

[0057] In an exemplary embodiment of the present invention, the calculation of the realization capability value of each maintenance decision for achieving each maintenance decision sub-goal includes the following steps, which are described in detail as follows.

[0058] The contribution weight of each maintenance decision sub-goal to the maintenance decision goal is calculated by the hierarchical analysis method.

[0059] The achievement score of each maintenance decision sub-goal for the maintenance decision goal is calculated through a quantitative scoring method.

[0060] According to the contribution weight and the realization capability score, the realization capability value of each maintenance decision for achieving each maintenance decision sub-goal is calculated.

[0061] In the embodiment of the present invention, the contribution weight is calculated based on the analytic hierarchy process (AHP). Specifically, in the analytic hierarchy process, a judgment matrix of the contribution capacity of the maintenance decision sub-goals to the overall maintenance decision goal is constructed by the consistent matrix method. ,The consistent matrix method is not to compare all factors together, but to compare them two by two. At this time, a relative scale is adopted to minimize the difficulty of comparing factors of different natures to improve the accuracy.,The constructed judgment matrix is ​​shown in Table 2 below.

[0062] Table 2

[0063] The maximum eigenvalue of the judgment matrix is ​​solved by the characteristic root solution method , and calculate the consistency index CI and consistency ratio CR, normalize the characteristic vector W (make the sum of each element in the vector 1), and then calculate the contribution weight of the maintenance decision sub-goal to the overall maintenance decision goal :The maximum eigenvalue The eigenvector of is normalized and recorded as W.

[0064] Find the maximum eigenvalue The corresponding eigenvectors are calculated and the consistency index CI and consistency ratio CR are calculated (the consistency verification is passed when CR < 0.1). The eigenvector W is normalized to calculate the contribution weight of the sub-goal to the overall maintenance goal. . Consistency index CI, consistency ratio CR and contribution weight The formula is as follows.

[0065] ; ; ; .

[0066] Among them, A is the judgment matrix; is the maximum eigenvalue corresponding to the judgment matrix A; W is the eigenvector; CR is the consistency ratio; CI is the consistency index; n is the order of the judgment matrix.

[0067] In order to measure the size of CI, the average random consistency index RI is introduced, and then the consistency ratio CR can be obtained. It is generally believed that when the consistency ratio CR is less than 0.1, the inconsistency of the judgment matrix is ​​within the allowable range and has satisfactory consistency. It can pass the consistency check and 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 constructed judgment matrix is ​​less than 0.1.

[0068] Based on the judgment matrix constructed by the hierarchical analysis method as shown in Table 2 above, the obtained consistency ratio CR=0.012<0.1, so the consistency verification passed, and then the contribution weight of each maintenance decision sub-goal to the maintenance decision goal was calculated. This is shown in List 3 below.

[0069] Table 3

[0070] Calculate each maintenance decision R by quantitative scoring method k Achieve maintenance decision sub-goal O i The realization ability score of the maintenance decision R k Achieve maintenance decision sub-goal O i The achievement ability score u ik The language variables are described as evaluated. The language variables use a rating scale from 0 to 5. The stronger the maintenance decision is in achieving the maintenance decision sub-goal, the higher the score; the weaker the maintenance decision is in achieving the maintenance decision sub-goal, the lower the score.

[0071] In one embodiment, each maintenance decision R k Achieve each maintenance decision sub-goal O i The achievement ability score u ik This can be shown in Table 4 below.

[0072] Table 4

[0073] According to the contribution weight and realization ability score, the realization ability value of each maintenance decision for achieving each maintenance decision sub-goal is calculated by the following formula: .

[0074] .

[0075] Specifically, the realization capability values ​​of the six maintenance decisions for achieving each maintenance decision sub-goal are: 4.0663; 0.3176; 1.0832; 2.7945; 2.3207; 1.1626.

[0076] In an exemplary embodiment of the present invention, the actual degree of realization and the ideal degree of realization of the maintenance decision target are calculated according to the synergy coefficient, the realization capability value and the usage coefficient of each maintenance decision, including the following steps, which are described in detail as follows.

[0077] By formula calculating the actual degree of realization and the ideal degree of realization; Among them, u k represents the realization capability value of maintenance decision k, s k represents the synergy effect coefficient of maintenance decision k; x k Represents the utilization coefficient of maintenance decision k.

[0078] In the embodiment of the present invention, the actual realization degree and the ideal realization degree are calculated by the above formula. The actual realization degree is calculated based on the actual synergy effect coefficient, the realization capability value and the utilization coefficient, while the ideal realization degree is calculated based on all the realization capabilities u ik When the maximum value of the language variables is taken, the maximum realization degree U max .

[0079] The utilization factor x of the maintenance decision k 𝑘 is a 0-1 variable indicating whether maintenance decision k is used, as shown below.

[0080] .

[0081] Based on the data in the above-mentioned embodiments, the actual degree of realization can be calculated as shown in the following Table 5.

[0082] Table 5

[0083] Therefore, under ideal conditions, maintenance decision R k Achieve each maintenance decision sub-goal O i The ideal realization degree U when the realization ability scores of the maximum value 5 max =16.239.

[0084] In an exemplary embodiment of the present invention, the evaluation of the maintenance decision target based on the actual realization degree and the ideal realization degree includes the following steps, which are described in detail as follows.

[0085] An achievement threshold is determined based on the ideal achievement.

[0086] If the actual achievement degree is greater than or equal to the achievement degree threshold, it is determined that the maintenance decision goal is achieved well.

[0087] In the embodiment of the present invention, the realization degree threshold is determined based on the ideal realization degree, such as multiplying a threshold weight on the basis of the ideal realization degree to obtain the realization degree threshold, such as 0.8U max When the actual realization degree is greater than or equal to the realization degree threshold, it is considered that the highway pavement maintenance decision-making target is well achieved; otherwise, the highway pavement maintenance decision-making target is poorly achieved.

[0088] In an exemplary embodiment of the present invention, after evaluating the maintenance decision target based on the actual realization degree and the ideal realization degree, the method further includes the following steps, which are described in detail as follows.

[0089] Based on the constructed variable weight adjustment function, the future realization degree of the maintenance decision-making target in the future time period and the future ideal realization degree under the ideal state are calculated.

[0090] Based on the future realization degree and the future ideal realization degree, the weights of the maintenance decision sub-goals in the future time period are adjusted.

[0091] In the embodiment of the present invention, an overall variable weight adjustment function is constructed, and the variable weight adjustment function is as follows.

[0092] ; Among them, W(X) is the variable weight vector; W 0 is a constant weight vector; S(X) is a state variable weight vector; ω i is the constant weight of the ith maintenance decision sub-goal; S i (X) is the state variable weight vector of the i-th maintenance decision sub-goal.

[0093] See also Figure 4In the embodiment of the present invention, as the years after the maintenance decision is made change, the weight of the maintenance decision will change accordingly. Taking the first, third, and fifth years after the implementation of a maintenance decision as an example, as the maintenance years increase, the decreasing trend of the realization capability value of some maintenance decision sub-goals becomes more and more obvious, and the impact on the realization degree of the overall maintenance decision goal becomes greater and greater.

[0094] Based on the above overall variable weight adjustment function, the following specific variable weight adjustment function is constructed. The relationship between the expected value of the maintenance decision target and the variable weight function is as follows: Figure 5 As shown: .

[0095] Among them, x represents the expected value of the maintenance decision target, and its value range is 0-1; c, c1, c2 are weight adjustment parameters, and μ, λ, α, β are interval thresholds.

[0096] Take μ=0.6, λ=0.7, α=0.8, β=1.0, c=0.2, c1=0.3, c2=0.5, and we get the variable weight adjustment function shown below.

[0097] .

[0098] The adjusted contribution weight of each maintenance decision sub-goal is calculated through the above variable weight adjustment function.

[0099] In one example, the weight values ​​of the maintenance decision sub-goals in the variable weight adjustment table after the maintenance decision is implemented are shown in Table 6 below.

[0100] Table 6

[0101] It is understandable that from the above table, in the five years after a maintenance decision is made, as the expected value changes, the weight of the maintenance decision is adjusted accordingly. Finally, it is obtained that the overall future realization degree of the maintenance decision goal is U>0.8U from the implementation of the maintenance decision to the third year. max , that is, the expected maintenance effect is achieved after the maintenance decision is made, but the future realization degree of the overall maintenance decision target is found to be U<0.8U after the fifth year of maintenance decision making. max , the effect of achieving the highway pavement maintenance decision-making goals will not continue to meet expectations, and it is advisable to adjust the maintenance decision-making means to achieve a longer-term maintenance effect.

[0102] The following is a description of the highway maintenance decision target achievement evaluation device provided by the present invention. The highway maintenance decision target achievement evaluation device described below and the highway maintenance decision target achievement evaluation method described above can be referred to each other. It should be noted that the device provided in the following embodiment and the method provided in the above embodiment belong to the same concept, and the specific manner in which each module and unit performs the operation has been described in detail in the method embodiment, which will not be repeated here.

[0103] In an exemplary embodiment of the present invention, see Figure 6 , Figure 6 A highway maintenance decision target achievement evaluation device is shown according to an exemplary embodiment, including the following modules.

[0104] The division module 610 is configured to divide the maintenance decision target into a plurality of maintenance decision sub-targets.

[0105] The first calculation module 620 is configured to calculate the synergy effect coefficient of each maintenance decision based on the synergy relationship between the maintenance decisions in the multi-dimensional maintenance decision.

[0106] The second calculation module 630 is configured to calculate the realization capability value of each maintenance decision for achieving each maintenance decision sub-goal.

[0107] The third calculation module 640 is configured to calculate the actual realization degree and the ideal realization degree of the maintenance decision target according to the synergy effect coefficient, the realization capability value and the usage coefficient of each maintenance decision.

[0108] The evaluation module 650 is configured to evaluate the maintenance decision target based on the actual achievement degree and the ideal achievement degree.

[0109] In an exemplary embodiment of the present invention, the first calculation module 620 includes the following submodules.

[0110] The first determination submodule is configured to determine the node degree of each maintenance decision based on the collaborative relationship between the maintenance decisions.

[0111] The second determination submodule is configured to determine the coordination value between each of the maintenance decisions.

[0112] The first calculation submodule is configured to calculate the synergy effect coefficient of each maintenance decision according to the node degree and the synergy value.

[0113] In an exemplary embodiment of the present invention, the second calculation module 630 includes the following submodules.

[0114] The second calculation submodule is configured to calculate the contribution weight of each maintenance decision sub-goal to the maintenance decision goal through hierarchical analysis method.

[0115] The third calculation submodule is configured to calculate the achievement ability score of each maintenance decision sub-goal to the maintenance decision goal through a quantitative scoring method.

[0116] The fourth calculation submodule is configured to calculate the realization capability value of each maintenance decision for realizing each maintenance decision sub-goal according to the contribution weight and the realization capability score.

[0117] In an exemplary embodiment of the present invention, the third calculation module 640 includes the following sub-modules.

[0118] The fifth calculation submodule is configured to calculate The actual degree of achievement and the ideal degree of achievement are calculated.

[0119] Among them, u k represents the realization capability value of maintenance decision k, s k represents the synergy effect coefficient of maintenance decision k; x k Represents the utilization coefficient of maintenance decision k.

[0120] In an exemplary embodiment of the present invention, the evaluation module 650 includes the following sub-modules.

[0121] The third determining submodule is configured to determine a realization degree threshold based on the ideal realization degree.

[0122] The fourth determination submodule is configured to determine that the maintenance decision goal is well achieved if the actual achievement degree is greater than or equal to the achievement degree threshold.

[0123] In an exemplary embodiment of the present invention, the multi-dimensional maintenance decision includes maintenance funding decision, maintenance construction personnel scheduling decision, maintenance equipment scheduling decision, maintenance material use decision, maintenance implementation section decision, and maintenance technology decision; The maintenance decision sub-goals include preventive maintenance ratio, weighted PCI value, excellent road rate, maintenance efficiency and cycle, traffic safety improvement rate, and driving comfort survey satisfaction rate.

[0124] In an exemplary embodiment of the present invention, the highway maintenance decision-making target achievement evaluation device further includes the following modules.

[0125] The fourth calculation module is configured to calculate the future realization degree of the maintenance decision-making target in the future time period and the future ideal realization degree under the ideal state based on the constructed variable weight adjustment function.

[0126] The adjustment module is configured to adjust the weights of the maintenance decision sub-goals in the future time period based on the future realization degree and the future ideal realization degree.

[0127] Figure 7 An example of a physical structure diagram of an electronic device is shown in FIG. Figure 7 As shown, the electronic device may include: a processor 710, a communication interface 720, a memory 730 and a communication bus 740, wherein the processor 710, the communication interface 720 and the memory 730 communicate with each other through the communication bus 740. The processor 710 may call the logic instructions in the memory 730 to execute the highway maintenance decision target realization evaluation method, which includes: dividing the maintenance decision target into a plurality of 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 realization capability value of each maintenance decision for realizing each maintenance decision sub-target; calculating the actual realization degree and ideal realization degree of the maintenance decision target according to the synergy effect coefficient, the realization capability value and the use coefficient of each maintenance decision; and evaluating the maintenance decision target based on the actual realization degree and the ideal realization degree.

[0128] In addition, the logic instructions in the above-mentioned memory 730 can be implemented in the form of a software functional unit and can be stored in a computer-readable storage medium when it is sold or used as an independent product. Based on this understanding, the technical solution of the present invention can be essentially or partly embodied in the form of a software product that contributes to the prior art. The computer software product is stored in a storage medium, including several instructions to enable a computer device (which can be a personal computer, a server, or a network device, etc.) to perform all or part of the steps of the method described in each embodiment of the present invention. The aforementioned storage medium includes: U disk, mobile hard disk, read-only memory (ROM, Read-Only Memory), random access memory (RAM, Random Access Memory), disk or optical disk, etc. Various media that can store program codes.

[0129] On the other hand, the present invention also provides a computer program product, which includes a computer program. The computer program can be stored on a non-transitory computer-readable storage medium. When the computer program is executed by a processor, the computer can execute the highway maintenance decision target realization evaluation method provided by the above-mentioned methods, and the method includes: dividing the maintenance decision target into multiple maintenance decision sub-targets; based on the synergistic relationship between each maintenance decision in the multidimensional maintenance decision, calculating the synergistic effect coefficient of each maintenance decision; calculating the realization capability value of each maintenance decision for realizing each maintenance decision sub-target; calculating the actual realization degree and ideal realization degree of the maintenance decision target according to the synergistic effect coefficient, the realization capability value and the usage coefficient of each maintenance decision; and evaluating the maintenance decision target based on the actual realization degree and the ideal realization degree.

[0130] On the other hand, the present invention also provides a non-transitory computer-readable storage medium having a computer program stored thereon, which, when executed by a processor, is implemented to execute the highway maintenance decision target achievement evaluation method provided by the above-mentioned methods, the method comprising: dividing the maintenance decision target into a plurality of maintenance decision sub-targets; calculating the synergy effect coefficient of each maintenance decision based on the synergy relationship between the maintenance decisions in the multidimensional maintenance decision; calculating the realization capability value of each maintenance decision for realizing each maintenance decision sub-target; calculating the actual realization degree and ideal realization degree of the maintenance decision target based on the synergy effect coefficient, the realization capability value and the usage coefficient of each maintenance decision; and evaluating the maintenance decision target based on the actual realization degree and the ideal realization degree.

[0131] The device embodiments described above are merely illustrative, wherein the units described as separate components may or may not be physically separated, and the components displayed as units may or may not be physical units, that is, they may be located in one place, or they may be distributed on multiple network units. Some or all of the modules may be selected according to actual needs to achieve the purpose of the scheme of this embodiment. Ordinary technicians in this field can understand and implement it without paying creative labor.

[0132] Through the description of the above implementation methods, those skilled in the art can clearly understand that each implementation method can be implemented by means of software plus a necessary general hardware platform, and of course, can also be implemented by hardware. Based on this understanding, the above technical solution is essentially or the part that contributes to the prior art can be embodied in the form of a software product, and the computer software product can be stored in a computer-readable storage medium, such as ROM / RAM, a disk, an optical disk, etc., including a number of instructions for a computer device (which can be a personal computer, a server, or a network device, etc.) to execute the methods described in each embodiment or some parts of the embodiments.

[0133] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention, rather than to limit it. Although the present invention has been described in detail with reference to the aforementioned embodiments, those skilled in the art should understand that they can still modify the technical solutions described in the aforementioned embodiments, or make equivalent replacements for some of the technical features therein. However, these modifications or replacements do not deviate the essence of the corresponding technical solutions 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: Divide the maintenance decision-making goal into multiple maintenance decision-making sub-goals; Based on the synergistic relationship between the maintenance decisions in the multidimensional maintenance decision, calculating the synergistic effect coefficient of each maintenance decision; Calculating the realization capability value of each maintenance decision for achieving each maintenance decision sub-goal; Calculating the actual degree of realization and the ideal degree of realization of the maintenance decision target according to the synergy effect coefficient, the realization capability value and the usage coefficient of each maintenance decision; The maintenance decision objective is evaluated based on the actual achievement degree and the ideal achievement degree.

2. The highway maintenance decision-making target achievement evaluation method according to claim 1 is characterized in that: The synergistic relationship between the maintenance decisions in the multidimensional maintenance decision is calculated based on the synergistic effect coefficient of each maintenance decision, including: Based on the collaborative relationship between the maintenance decisions, determining the node degree of each maintenance decision; determining a synergy value between each of the maintenance decisions; The synergy effect coefficient of each maintenance decision is calculated according to the node degree and the synergy value.

3. The highway maintenance decision-making target achievement evaluation method according to claim 1 is characterized in that: The calculating the realization capability value of each maintenance decision for achieving each maintenance decision sub-goal includes: Calculating the contribution weight of each maintenance decision sub-goal to the maintenance decision goal through the hierarchical analysis method; Calculate the achievement score of each maintenance decision sub-goal to the maintenance decision goal through a quantitative scoring method; According to the contribution weight and the realization capability score, the realization capability value of each maintenance decision for achieving each maintenance decision sub-goal is calculated.

4. The highway maintenance decision-making target achievement evaluation method according to claim 1 is characterized in that: The calculating the actual degree of realization and the ideal degree of realization of the maintenance decision target according to the synergy effect coefficient, the realization capability value and the usage coefficient of each maintenance decision includes: By formula calculating the actual degree of realization and the ideal degree of realization; Among them, u k represents the realization capability value of maintenance decision k, s k represents the synergy effect coefficient of maintenance decision k; x k Represents the utilization coefficient of maintenance decision k.

5. The highway maintenance decision-making target achievement evaluation method according to claim 1 is characterized in that: The evaluating the maintenance decision-making target based on the actual realization degree and the ideal realization degree includes: Determining a realization degree threshold based on the ideal realization degree; If the actual achievement degree is greater than or equal to the achievement degree threshold, it is determined that the maintenance decision goal is achieved well.

6. The highway maintenance decision-making target achievement evaluation method according to claim 1 is characterized in that: The multi-dimensional maintenance decision includes maintenance funding decision, maintenance construction personnel scheduling decision, maintenance equipment scheduling decision, maintenance material use decision, maintenance implementation section decision, and maintenance technology decision; The maintenance decision sub-goals include preventive maintenance ratio, weighted PCI value, excellent road rate, maintenance efficiency and cycle, traffic safety improvement rate, and driving comfort survey satisfaction rate.

7. The highway maintenance decision-making target achievement evaluation method according to claim 1 is characterized in that: After evaluating the maintenance decision target 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 realization degree of the maintenance decision-making target in the future time period and the future ideal realization 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-goals in the future time period are adjusted.

8. A highway maintenance decision-making target achievement evaluation device, characterized in that: include: a partitioning module configured to partition the maintenance decision target into a plurality of maintenance decision sub-targets; A first calculation module is configured to calculate a synergy effect coefficient of each maintenance decision based on a synergy relationship between the maintenance decisions in the multidimensional maintenance decision; A second calculation module is configured to calculate the realization capability value of each maintenance decision for achieving each maintenance decision sub-goal; A third calculation module is configured to calculate the actual realization degree and the ideal realization degree of the maintenance decision target according to the synergy effect coefficient, the realization capability value and the usage coefficient of each maintenance decision; An evaluation module is configured to evaluate the maintenance decision target based on the actual achievement degree and the ideal achievement degree.

9. An electronic device comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein: When the processor executes the program, the method for evaluating the achievement of highway maintenance decision-making objectives as described in any one of claims 1 to 7 is implemented.

10. A non-transitory computer-readable storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by a processor, the method for evaluating the achievement of highway maintenance decision-making objectives as described in any one of claims 1 to 7 is implemented.

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