Railway line unit state evaluation method, apparatus, device, medium, and program

Abstract

The invention relates to a railway line unit state evaluation method, device and equipment, a storage medium and a computer program, and the method comprises the steps: dividing a railway line unit according to a preset length based on a straight line segment and a curve segment, and obtaining a railway line evaluation unit set, establishing a comprehensive evaluation hierarchy model of the service state of the heavy haul railway line unit with the lowest score significant, outputting an index set of each line evaluation unit in a railway line evaluation unit set by using the model, constructing a priority relation judgment matrix, and if the consistency ratio of the priority relation judgment matrix is greater than or equal to a ratio threshold value, determining that the service state of the heavy haul railway line unit is not the same. And if the line evaluation unit is not in the priority relation judgment matrix, judging again after adjusting the priority relation judgment matrix, otherwise, constructing a weight set, calculating a comprehensive score according to the weight set and the index set, performing minimum score saliency processing according to the comprehensive score to obtain a final score, and outputting an analysis result of each line evaluation unit according to the final score.

Description

Technical Field

[0001] The present disclosure relates to the technical field of railway status assessment, and in particular to a railway line unit status assessment method, device, equipment, storage medium and computer program. Background Art

[0002] Heavy-haul railways are the main force supporting the country's coal transportation. Increasing the axle weight of heavy-haul railway trucks can reduce transportation costs and improve transportation efficiency, but it also puts higher requirements on the safety of heavy-haul railway lines. In the safe operation and maintenance of railway lines, comprehensive evaluation of the service status of the line can obtain all aspects of line status information and guide the formulation of maintenance work plans. Among them, the comprehensive evaluation objects of the line mainly include: track geometry, vehicle acceleration response, service status of connecting parts, service status of sleepers, service status of ballast bed and service status of roadbed. The existing comprehensive status evaluation methods mainly include hierarchical analysis method, fuzzy comprehensive evaluation method, entropy method, mutation series method and their improved algorithms. These methods are committed to balancing the influence of subjective and objective factors, and comprehensively evaluating the evaluation objects by calculating the index weights or membership functions according to different standards. Among them, the hierarchical analysis method is the most commonly used method for comprehensive evaluation of the service status of railway lines.

[0003] However, when each sub-indicator needs to be evaluated separately, the existing evaluation method is prone to the situation where the sub-indicator evaluation status is lower than the total score evaluation status. For example, when evaluating a track line, the sub-indicator rail evaluation status is disqualified, but due to the existence of weights, the total score evaluation status may still be qualified or even excellent. The emergence of this contradiction weakens the expressiveness of the total score for the low score of the sub-indicator and reduces the reliability of the line status evaluation method. Summary of the invention

[0004] The present invention provides a railway line unit status evaluation method, device, equipment, storage medium and computer program to solve the problem of insufficient reliability of existing heavy-load railway status evaluation methods when each sub-indicator needs to be evaluated separately.

[0005] In a first aspect, the present disclosure provides a railway line unit status evaluation method, comprising:

[0006] Based on the straight line segments and the curve segments, the railway line units are divided according to the preset lengths to obtain a set of railway line evaluation units;

[0007] According to the pre-determined evaluation indicators, a hierarchical model for comprehensive evaluation of the service status of heavy-duty railway line units with the lowest significant score is established;

[0008] Outputting an indicator set of each line evaluation unit in the railway line evaluation unit set by using the least significant heavy-duty railway line unit service status comprehensive evaluation hierarchical model;

[0009] Construct a priority relationship judgment matrix;

[0010] Calculating the consistency ratio of the priority relationship judgment matrix;

[0011] If the consistency ratio is greater than or equal to a preset ratio threshold, the step of calculating the consistency ratio of the priority relationship judgment matrix is ​​re-executed after adjusting the priority relationship judgment matrix;

[0012] If the consistency ratio is less than a preset ratio threshold, a weight set is constructed according to the priority relationship judgment matrix, and a comprehensive score is calculated according to the weight set and the indicator set;

[0013] According to the comprehensive score, the indicator set of each route evaluation unit is processed to obtain the final score of each route evaluation unit;

[0014] The final score of each route evaluation unit is calculated according to the weight set and the low-score saliency indicator set of each route evaluation unit, and the analysis result of each route evaluation unit is output according to the final score of each route evaluation unit and the preset evaluation level.

[0015] In some embodiments, the railway line unit is divided according to a preset length based on the straight line segment and the curve segment to obtain a set of railway line evaluation units, including:

[0016] Dividing the railway line unit into straight segments and curved segments to obtain a straight segment set and a curved segment set;

[0017] The straight line segment set is divided according to a preset length, and a portion of the straight line segment set that is less than a preset length but greater than a preset length threshold is separately divided into a unit, and a portion that is less than the preset length threshold is merged into the previous unit to obtain a straight line segment line evaluation unit set;

[0018] The curve segment set is divided according to a preset length, and a portion of the curve segment set that is less than a preset length but greater than a preset length threshold is separately divided into a unit, and a portion that is less than the preset length threshold is merged into a previous unit to obtain a curve segment line evaluation unit set;

[0019] The straight line segment line evaluation unit set and the curve segment line evaluation unit set are combined to obtain a railway line evaluation unit set.

[0020] In some embodiments, the comprehensive evaluation hierarchical model for evaluating the service status of heavy-duty railway line units using the lowest-score significant level outputs an indicator set for each line evaluation unit in the railway line evaluation unit set, including:

[0021] Acquire status data of any line evaluation unit in the railway line evaluation unit set;

[0022] Calculate the final score in each status evaluation index system according to the status data using the comprehensive evaluation hierarchical model for service status of heavy-duty railway line units with the lowest significant score;

[0023] The final score in each state evaluation index system is output to obtain the index set.

[0024] In some embodiments, the calculating the consistency ratio of the priority relationship judgment matrix includes:

[0025] Confirming the consistency index according to the priority relationship judgment matrix;

[0026] The consistency ratio is calculated based on the consistency index and the predetermined random consistency index using the following formula:

[0027]

[0028] Where C is the consistency ratio, λ max is the maximum eigenvalue in the priority relationship judgment matrix, n is the order of the priority relationship judgment matrix, and R is the random consistency index.

[0029] In some embodiments, the calculating a comprehensive score according to the weight set and the indicator set includes:

[0030] The comprehensive score is calculated using the following formula:

[0031]

[0032] Among them, G u is the comprehensive score, N is the number of samples in the indicator set, G i is the score of the i-th state evaluation index system in the index set, W i is the i-th weight in the weight set.

[0033] In some embodiments, performing minimum-score significant processing on the indicator set of each route evaluation unit according to the comprehensive score to obtain the final score of each route evaluation unit includes:

[0034] The saliency processing is expressed by the following formula:

[0035]

[0036] Where S is the final score, S minis the lowest score in the indicator set, U is the upper-level scoring interval of the scoring interval where the lowest score in the indicator set is located, and G u is the comprehensive score of the indicator set.

[0037] In a second aspect, the present disclosure provides a railway line unit state evaluation device, comprising:

[0038] A line division module is used to divide the railway line unit based on the straight line segment and the curve segment according to the preset length to obtain a set of railway line evaluation units;

[0039] An indicator set output module is used to establish a comprehensive evaluation hierarchical model of the service status of a heavy-duty railway line unit with the lowest significant score according to a predetermined evaluation indicator, and output an indicator set of each line evaluation unit in the railway line evaluation unit set using the comprehensive evaluation hierarchical model of the service status of a heavy-duty railway line unit with the lowest significant score;

[0040] A consistency calculation module, used to construct a priority relationship judgment matrix and calculate the consistency ratio of the priority relationship judgment matrix;

[0041] A consistency judgment module, used to judge whether the consistency ratio is greater than or equal to a preset ratio threshold, and if the consistency ratio is greater than or equal to the preset ratio threshold, the step of calculating the consistency ratio of the priority relationship judgment matrix is ​​re-executed after adjusting the priority relationship judgment matrix;

[0042] A low-score saliency module is used to perform minimum-score saliency processing on the indicator set of each line evaluation unit according to the comprehensive score to obtain the final score of each line evaluation unit, calculate the final score of each line evaluation unit according to the weight set and the low-score saliency indicator set of each line evaluation unit, and output the analysis result of each line evaluation unit according to the final score of each line evaluation unit and a preset evaluation level.

[0043] In a third aspect, the present disclosure provides a computer device, including a memory, a processor, and a computer program stored in the memory, wherein the processor executes the computer program to implement the steps of the method described in the above aspects.

[0044] In a fourth aspect, the present disclosure provides a computer-readable storage medium having a computer program stored thereon, which implements the steps of the method described in the above aspects when executed by a processor.

[0045] In a fifth aspect, the present disclosure provides a computer program product, including a computer program / instructions, which implements the steps of the method described in the above aspects when the computer program is executed by a processor.

[0046] The present invention provides a railway line unit status evaluation method, device, equipment, storage medium and computer program. By dividing the railway line unit according to the preset length based on the straight line segment and the curve segment, a railway line evaluation unit set is obtained, which can improve the accuracy of subsequent judgments. A minimum-significant heavy-duty railway line unit service status comprehensive evaluation hierarchical model is established according to the predetermined evaluation index. The minimum-significant heavy-duty railway line unit service status comprehensive evaluation hierarchical model is used to output the index set of each line evaluation unit in the railway line evaluation unit set, a priority relationship judgment matrix is ​​constructed, and the consistency ratio of the priority relationship judgment matrix is ​​calculated. If the consistency ratio is greater than or equal to the preset ratio threshold, the priority relationship judgment matrix is ​​adjusted and the calculation of the priority relationship judgment matrix is ​​re-executed. The method comprises the steps of determining the consistency ratio of the matrix, if the consistency ratio is less than a preset ratio threshold, constructing a weight set according to the priority relationship judgment matrix, calculating a comprehensive score according to the weight set and the indicator set, performing minimum-score significant processing on the indicator set of each line evaluation unit according to the comprehensive score, obtaining a final score of each line evaluation unit, improving the rationality of the final score, calculating the final score of each line evaluation unit according to the weight set and the low-score significant indicator set of each line evaluation unit, and outputting the analysis result of each line evaluation unit according to the final score of each line evaluation unit and the preset evaluation level; thereby solving the problem of insufficient reliability of the existing heavy-load railway status evaluation method when each sub-indicator needs to be evaluated separately, and improving the reliability of the heavy-load railway status evaluation.

[0047] 1. Based on the straight segments and curve segments, the railway line units are divided according to the preset lengths to obtain a set of railway line evaluation units. The technical effect is to conduct targeted analysis based on the characteristics of different sections of the railway;

[0048] 2. Calculate the consistency ratio of the priority relationship judgment matrix, which has the technical effect of facilitating the subsequent judgment of whether the consistency of the priority judgment matrix meets the requirements;

[0049] 3. Performing minimum-score significant processing on the indicator set of each line evaluation unit according to the comprehensive score to obtain the final score of each line evaluation unit. The technical effect is to improve the reliability of the final score. BRIEF DESCRIPTION OF THE DRAWINGS

[0050] The present disclosure will be described in more detail below based on embodiments and with reference to the accompanying drawings:

[0051] Figure 1 A schematic flow chart of a railway line unit status evaluation method provided in an embodiment of the present disclosure.

[0052] Figure 2A schematic diagram of a process of dividing railway line units provided in an embodiment of the present disclosure.

[0053] Figure 3 A functional module diagram of a railway line unit status evaluation device provided in an embodiment of the present disclosure.

[0054] In the drawings, the same reference numerals are used for the same components, and the drawings are not drawn to scale. DETAILED DESCRIPTION

[0055] In order to enable those skilled in the art to better understand the technical solution of the present disclosure, and to fully understand and implement how the present disclosure applies technical means to solve technical problems and achieve the corresponding technical effects, the technical solution in the embodiments of the present disclosure will be clearly and completely described below in conjunction with the drawings in the embodiments of the present disclosure. Obviously, the described embodiments are only embodiments of a part of the present disclosure, not all of the embodiments. The embodiments of the present disclosure and the various features in the embodiments can be combined with each other without conflict, and the technical solutions formed are all within the scope of protection of the present disclosure. Based on the embodiments in the present disclosure, all other embodiments obtained by ordinary technicians in this field without making creative work should fall within the scope of protection of the present disclosure.

[0056] It should be noted that the terms "first", "second", etc. in the specification and claims of the present disclosure and the above-mentioned drawings are used to distinguish similar objects, and are not necessarily used to describe a specific order or sequence. It should be understood that the data used in this way can be interchangeable where appropriate, so that the embodiments of the present disclosure described herein can be implemented in an order other than those illustrated or described herein. In addition, the terms "including" and "having" and any variations thereof are intended to cover non-exclusive inclusions, for example, a process, method, system, product, or device that includes a series of steps or units is not necessarily limited to those steps or units that are clearly listed, but may include other steps or units that are not clearly listed or inherent to these processes, methods, products, or devices.

[0057] It should be noted that the steps shown in the flowcharts of the accompanying drawings can be executed in a computer system such as a set of computer executable instructions, and that, although a logical order is shown in the flowcharts, in some cases, the steps shown or described can be executed in an order different from that shown here.

[0058] Embodiment 1

[0059] Figure 1 The following is a flow chart of a method for evaluating the status of a railway line unit provided by an embodiment of the present disclosure. Figure 1 As shown, a smart device control method includes:

[0060] S1. Divide the railway line units based on the straight line segments and the curve segments according to preset lengths to obtain a set of railway line evaluation units.

[0061] In the embodiment of the present invention, the railway line units are divided based on straight segments and curved segments according to preset lengths because a train will generate centrifugal force when turning in the railway line, so the train has different effects on the straight segments and curved segments in the railway line, so the engineering designs of the straight segments and curved segments are also different, so it is necessary to divide the straight segments and curved segments and then conduct an evaluation.

[0062] In the embodiment of the present invention, the preset length may be 200 meters.

[0063] In the embodiment of the present invention, refer to Figure 2 As shown, a schematic diagram of a process of dividing a railway line unit is provided in an embodiment of the present invention, wherein the railway line unit is divided according to a preset length based on straight line segments and curve segments to obtain a set of railway line evaluation units, including:

[0064] S21, dividing the railway line unit into straight segments and curved segments to obtain a straight segment set and a curved segment set;

[0065] S22, dividing the straight line segment set according to preset lengths, dividing the portion of the straight line segment set that is less than a preset length but greater than a preset length threshold into a separate unit, and merging the portion that is less than the preset length threshold into the previous unit, to obtain a straight line segment line evaluation unit set;

[0066] S23, dividing the curve segment set according to preset lengths, dividing the portion of the curve segment set that is less than the preset length but greater than a preset length threshold into a unit, and merging the portion that is less than the preset length threshold into the previous unit, to obtain a curve segment line evaluation unit set;

[0067] S24, merging the straight segment line evaluation unit set and the curve segment line evaluation unit set to obtain a railway line evaluation unit set.

[0068] In the embodiment of the present invention, when the railway line unit is divided according to the preset length based on the straight segments and the curved segments, the turnout in the railway line unit is separately divided into one unit.

[0069] In the embodiment of the present invention, by dividing the railway line units according to the preset lengths based on the straight segments and the curve segments, a set of railway line evaluation units is obtained, thereby improving the efficiency and accuracy of the status evaluation of the railway line units.

[0070] S2. A comprehensive evaluation hierarchical model for the service status of heavy-duty railway line units with the lowest significant score is established based on predetermined evaluation indicators.

[0071] In the embodiment of the present invention, the predetermined evaluation index includes a predetermined number of status evaluation index systems and sub-indicators of each status evaluation index system, and each sub-indicator corresponds to a deduction standard.

[0072] In detail, the predetermined number of status evaluation index systems include comprehensive evaluation of track geometry irregularity, comprehensive evaluation of vehicle vibration response, comprehensive evaluation of rail diseases, comprehensive evaluation of fastener diseases, comprehensive evaluation of sleeper diseases, comprehensive evaluation of ballast bed diseases and comprehensive evaluation of roadbed diseases.

[0073] In an embodiment of the present invention, the comprehensive evaluation hierarchical model for the service status of a heavy-duty railway line unit with a significant minimum score is established according to predetermined evaluation indicators, by constructing a status evaluation indicator system as the main body of the model, and then setting a deduction standard for each evaluation indicator system as a subset, to obtain the comprehensive evaluation hierarchical model for the service status of a heavy-duty railway line unit with a significant minimum score.

[0074] In the embodiment of the present invention, by establishing a comprehensive evaluation hierarchical model of the service status of heavy-duty railway line units with the lowest significance according to predetermined evaluation indicators, the efficiency of the indicator set of each line evaluation unit in the subsequent output railway line evaluation unit set is improved.

[0075] S3. Using the least significant heavy-duty railway line unit service status comprehensive evaluation hierarchical model, output an indicator set for each line evaluation unit in the railway line evaluation unit set.

[0076] In the embodiment of the present invention, the indicator set of each line evaluation unit in the railway line evaluation unit set is a score set, including the final score of each state evaluation indicator system.

[0077] In the embodiment of the present invention, the comprehensive evaluation hierarchical model for service status of heavy-duty railway line units using the lowest-score significant value outputs an indicator set for each line evaluation unit in the railway line evaluation unit set, including:

[0078] Acquire status data of any line evaluation unit in the railway line evaluation unit set;

[0079] Calculate the final score in each status evaluation index system according to the status data using the comprehensive evaluation hierarchical model for service status of heavy-duty railway line units with the lowest significant score;

[0080] The final score in each state evaluation index system is output to obtain the index set.

[0081] In the embodiment of the present invention, the index set of each line evaluation unit in the railway line evaluation unit set is output by using the least significant heavy-duty railway line unit service state comprehensive evaluation hierarchical model, thereby improving the efficiency of subsequent construction of the priority relationship judgment matrix.

[0082] S4. Construct a priority relationship judgment matrix.

[0083] In the embodiment of the present invention, the construction of the priority relationship judgment matrix is ​​to construct a matrix reflecting the priority relationship between every two indicator factors in the same indicator factor set according to the indicator set.

[0084] In the embodiment of the present invention, the step of constructing a priority relationship judgment matrix includes:

[0085] The following formula is used to express the construction of the priority relationship judgment matrix:

[0086]

[0087] Wherein, a is the priority relationship judgment matrix.

[0088] In detail, in the priority relationship judgment matrix, the i-th row and the j-th column represent the importance of the i-th indicator factor of the indicator set relative to the j-th indicator factor.

[0089] In the embodiment of the present invention, by constructing a priority relationship judgment matrix, the efficiency of subsequently constructing a weight set is improved.

[0090] S5. Calculate the consistency ratio of the priority relationship judgment matrix.

[0091] In the embodiment of the present invention, the consistency ratio is an indicator for determining whether the priority relationship judgment matrix maintains consistency.

[0092] In the embodiment of the present invention, the calculation of the consistency ratio of the priority relationship judgment matrix includes:

[0093] Confirming the consistency index according to the priority relationship judgment matrix;

[0094] The consistency ratio is calculated based on the consistency index and the predetermined random consistency index using the following formula:

[0095]

[0096] Where C is the consistency ratio, λ max is the maximum eigenvalue in the priority relationship judgment matrix, n is the order of the priority relationship judgment matrix, and R is the random consistency index.

[0097] In detail, the random consistency index is a value predetermined according to the order of the priority relationship judgment matrix. For example, when the order of the priority relationship judgment matrix is ​​5, the random consistency index is 1.12; when the order of the priority relationship judgment matrix is ​​6, the random consistency index is 1.26.

[0098] S6. Determine whether the consistency ratio is greater than or equal to a preset ratio threshold.

[0099] If the consistency ratio is greater than or equal to the preset ratio threshold, then S7 is executed to adjust the priority relationship judgment matrix, and then the process returns to S5 to calculate the consistency ratio of the priority relationship judgment matrix.

[0100] In the embodiment of the present invention, the preset ratio threshold may be 0.1.

[0101] In the embodiment of the present invention, when the consistency ratio is greater than or equal to the preset ratio threshold, it means that the consistency of the priority relationship judgment matrix at this time does not meet the requirement, and therefore the priority relationship judgment matrix needs to be adjusted.

[0102] If the consistency ratio is less than a preset ratio threshold, S8 is executed to construct a weight set according to the priority relationship judgment matrix, and a comprehensive score is calculated according to the weight set and the indicator set.

[0103] In the embodiment of the present invention, when the consistency ratio is less than the preset ratio threshold, it means that the consistency of the priority relationship judgment matrix at this time meets the requirements, so a weight set can be constructed according to the priority relationship judgment matrix to facilitate subsequent score calculation.

[0104] In an embodiment of the present invention, the weight set is constructed according to the priority relationship judgment matrix by solving the eigenvector of the maximum feature corresponding to each state evaluation index system in the priority relationship judgment matrix, and obtaining the relative weight of each state evaluation index system after normalization to obtain the weight set.

[0105] In the embodiment of the present invention, the comprehensive score is calculated based on the weight set and the indicator set, and the scores of each state evaluation indicator system in the indicator set are multiplied by the corresponding weights and then summed to obtain the comprehensive score of the indicator set.

[0106] In the embodiment of the present invention, the calculating of the comprehensive score according to the weight set and the indicator set includes:

[0107] The comprehensive score is calculated using the following formula:

[0108]

[0109] Among them, Gu is the comprehensive score, N is the number of samples in the indicator set, G i is the score of the i-th state evaluation index system in the index set, W i is the i-th weight in the weight set.

[0110] In the embodiment of the present invention, by constructing a weight set according to the priority relationship judgment matrix, the efficiency of subsequent calculation of the final score is improved, and by calculating the comprehensive score according to the weight set and the indicator set, the efficiency of subsequent minimum score significance processing is improved.

[0111] S9. Performing minimum-score significance processing on the indicator set of each route evaluation unit according to the comprehensive score to obtain a final score for each route evaluation unit.

[0112] In an embodiment of the present invention, the minimum score significance processing refers to expanding the influence of the minimum score on the final score. Due to the existence of the weight set, the disqualified or qualified status of each indicator may not be directly reflected in the comprehensive score. For example, the geometric roughness comprehensive evaluation score is 59, which is considered disqualified, but after being aggregated with other indicator scores by weight, the score is 75, which is considered qualified. In this way, the comprehensive score result and the sub-indicator score become ambiguous. In order to ensure that the comprehensive score can reflect the degree of degradation of the line unit in a relatively safe manner, it is necessary to perform the minimum score significance processing to ensure the rationality of the comprehensive score.

[0113] In the embodiment of the present invention, performing minimum-score significant processing on the indicator set of each route evaluation unit according to the comprehensive score to obtain the final score of each route evaluation unit includes:

[0114] The saliency processing is expressed by the following formula:

[0115]

[0116] Where S is the final score, S min is the lowest score in the indicator set, U is the upper-level scoring interval of the scoring interval where the lowest score in the indicator set is located, and G u is the comprehensive score of the indicator set.

[0117] In the embodiment of the present invention, the final score of each route evaluation unit is obtained by performing minimum score significance processing on the indicator set of each route evaluation unit according to the comprehensive score, thereby reducing the influence of low-scoring items on the final score and improving the rationality of the final score.

[0118] S9. Output the analysis result of each line evaluation unit according to the final score of each line evaluation unit and the preset scoring level.

[0119] In the embodiment of the present invention, the analysis result of each line evaluation unit is output according to the final score of each line evaluation unit and the preset scoring level, and different intervals are set according to the size of the final score, and the health status level corresponding to each interval is output according to the final score of each line evaluation unit. For example, when the final score is less than 60, it is disqualified, when the final score is greater than or equal to 60 and less than 85, it is qualified, and when the final score is greater than or equal to 85 and less than or equal to 100, it is excellent.

[0120] In the embodiment of the present invention, by outputting the analysis result of each line evaluation unit according to the final score of each line evaluation unit and the preset scoring level, the efficiency of the comprehensive evaluation of the service status of the railway line unit is improved.

[0121] Embodiment 2

[0122] Based on the above embodiments, this embodiment provides an application example.

[0123] Flexible division of line units:

[0124] Distinguish between straight segments and curved segments, and divide them into 200m units;

[0125] For the case of insufficient division, if the length of the last unit is less than 100m, it will be included in the previous line evaluation unit; if it is greater than 100m, it will become a line evaluation unit in its own right;

[0126] If the straight line segment is between two curved segments and is less than 200m, it will form a line evaluation unit;

[0127] The turnout forms a line evaluation unit in itself.

[0128] Establish a comprehensive evaluation model for the service status of line units:

[0129] A two-level status evaluation index system is established, and the comprehensive evaluation index target set U is divided into 7 sub-indicators to obtain an index set. The score of each sub-indicator will be obtained according to its associated damage feature S and its corresponding deduction standard. Index set U = (U1, U2, U3, U4, U5, U6, U7). The present invention considers track geometry irregularity, vehicle vibration response, rail disease, fastener disease, sleeper disease, ballast bed disease and roadbed disease.

[0130] Create a review collection:

[0131] Determine the status of each indicator in the indicator set and establish a comment set according to three levels: V = (excellent, qualified, unqualified). Its meaning and corresponding scores are shown in Table 1. Excellent status corresponds to 85-100 points; qualified status corresponds to 60-85 points; unqualified status corresponds to 0-60 points.

[0132]

[0133] Table 1 Comments

[0134] Create a weight set.

[0135] Construct a priority relationship judgment matrix:

[0136] The priority relationship judgment matrix reflects the priority relationship between every two indicator factors in the same indicator factor set. In order to quantitatively describe the relative importance of two indicators, a 1-9 scale method is used, where a_ij represents the importance of the i-th indicator factor relative to the j-th indicator factor. The constructed indicator set judgment matrix is ​​as follows:

[0137]

[0138] Compute the weight set:

[0139] Solve the eigenvector corresponding to the largest eigenvalue of the judgment matrix, and after normalization, it is the relative weight between the evaluation factors at this level. Write a Matlab program to solve it and get

[0140] W=(W 1 ,W 2 ,W 3 ,W 4 ,W 5 ,W 6 ,W 7 )

[0141] =(0.3169,0.1566,0.3169,0.0327,0.0327,0.0721,0.0721)

[0142] Consistency Check

[0143] First, the consistency index CI is calculated according to Formula 3.

[0144] CI=(λ_max-n) / (n-1)(Formula 3)

[0145] Then find the value of the random consistency index RI (see Table 2), and calculate the consistency ratio CR according to Formula 4. If CR < 0.1, the judgment matrix is ​​acceptable, otherwise the judgment matrix is ​​readjusted.

[0146] CR = CI / RI (Formula 4)

[0147] Table 2 Query table of random consistency index RI

[0148]

[0149] After calculation, CR=0.0246<0.1, the judgment matrix remains consistent, and the next step of evaluation can be carried out.

[0150] Establish deduction criteria:

[0151] The deduction standards for each injury characteristic are formulated based on relevant national and industry standards.

[0152] Comprehensive evaluation by level:

[0153] The total score of the target layer is G_U, and the scores of each sub-indicator are

[0154] but:

[0155] GU=WGT (Formula 5)

[0156] After obtaining the total score of the target layer, the evaluation results of the line service status are given according to Table 1.

[0157] Minimum score significance:

[0158] Due to the existence of the weight set, the disqualified or qualified status of each indicator may not be directly reflected in the comprehensive score. For example, the geometric roughness score is 59, which is considered disqualified, but after being aggregated with other indicator scores by weight, the score is likely to be 75, which is considered qualified. In this way, there is ambiguity between the comprehensive score result and the sub-indicator score. In order to ensure that the comprehensive score can safely reflect the degree of degradation of the line unit, the idea of ​​making the minimum score significant is proposed here, that is, to expand the influence of the minimum score on the comprehensive score.

[0159] The following requirements are put forward for the final score: ① It must be higher than the lowest score ② It must be in the same rating range as the lowest score ③ It must be able to linearly reflect the level of the comprehensive score

[0160] To meet the above requirements, the present invention proposes a minimum score saliency formula:

[0161] Score=min+(uppermin-min)×(sco-min) / (100-min)(Formula 6)

[0162] Among them, Score is the final score, min is the lowest score, uppermin is the upper bound of the evaluation interval of the lowest score, and sco is the total score of the target layer.

[0163] In addition, in order to test the effect of the significance of the lowest score, the corresponding relationship between the scores before and after the significance of the lowest score was analyzed when the lowest score was in three different level intervals.

[0164] Embodiment 3

[0165] like Figure 3, which is a functional module diagram of a railway line unit status evaluation device provided in this embodiment.

[0166] The railway line unit state evaluation device 100 of the present invention can be installed in an electronic device. According to the functions to be implemented, the railway line unit state evaluation device 100 can include a line division module 101, an indicator set output module 102, a consistency calculation module 103, a consistency judgment module 104 and a low score saliency module 105. The module of the present invention can also be called a unit, which refers to a series of computer program segments that can be executed by an electronic device processor and can complete fixed functions, which are stored in the memory of the electronic device.

[0167] In this embodiment, the functions of each module / unit are as follows:

[0168] The line division module 101 is used to divide the railway line unit based on the straight line segment and the curve segment according to the preset length to obtain a set of railway line evaluation units;

[0169] The indicator set output module 102 is used to establish a comprehensive evaluation hierarchical model of the service status of heavy-duty railway line units with the lowest significant score according to the predetermined evaluation indicators, and output the indicator set of each line evaluation unit in the railway line evaluation unit set by using the comprehensive evaluation hierarchical model of the service status of heavy-duty railway line units with the lowest significant score;

[0170] The consistency calculation module 103 is used to construct a priority relationship judgment matrix and calculate the consistency ratio of the priority relationship judgment matrix;

[0171] The consistency judgment module 104 is used to judge whether the consistency ratio is greater than or equal to a preset ratio threshold. If the consistency ratio is greater than or equal to the preset ratio threshold, the step of calculating the consistency ratio of the priority relationship judgment matrix is ​​re-executed after adjusting the priority relationship judgment matrix;

[0172] The low-score saliency module 105 is used to perform minimum-score saliency processing on the indicator set of each route evaluation unit according to the comprehensive score to obtain the final score of each route evaluation unit, calculate the final score of each route evaluation unit according to the weight set and the low-score saliency indicator set of each route evaluation unit, and output the analysis result of each route evaluation unit according to the final score of each route evaluation unit and a preset evaluation level.

[0173] Embodiment 4

[0174] On the basis of the above embodiments, this embodiment provides a computer device, including a memory, a processor, and a computer program stored in the memory, wherein the processor executes the computer program to implement the steps of the method described in the above embodiments.

[0175] In some implementations of this embodiment, a computer-readable storage medium is provided, on which a computer program is stored, characterized in that when the computer program is executed by a processor, the steps of the method described in the above embodiment are implemented.

[0176] In some implementations of this embodiment, a computer program product is provided, including a computer program / instructions, characterized in that when the computer program is executed by a processor, the steps of the method described in the above embodiment are implemented.

[0177] The processor may include, but is not limited to, one or more processors or microprocessors, etc. Each processor may be an application specific integrated circuit (ASIC), a digital signal processor (DSP), a digital signal processing device (DSPD), a programmable logic device (PLD), a field programmable gate array (FPGA), a controller, a microcontroller, a microprocessor or other electronic components to execute the methods in the above embodiments.

[0178] The computer-readable storage medium may be implemented by any type of volatile or non-volatile storage device or a combination thereof, and the computer-readable storage medium may include but is not limited to, for example, random access memory (RAM), read-only memory (ROM), flash memory, EPROM memory, EEPROM memory, registers, computer storage media (e.g., hard disk, floppy disk, solid-state drive, removable disk, CD-ROM, DVD-ROM, Blu-ray disc, etc.).

[0179] The computer-readable storage medium may also store at least one computer executable program / instruction, which may be, for example, a computer-readable instruction. The computer-readable storage medium includes, but is not limited to, for example, a volatile memory and / or a non-volatile memory. The volatile memory may include, for example, a random access memory (RAM) and / or a cache memory (cache), etc. The computer-readable storage medium may include, for example, a read-only memory (ROM), a hard disk, a flash memory, etc. For example, a non-transitory computer-readable storage medium may be connected to a computing device such as a computer, and then, when the computing device runs the computer-readable instructions stored on the computer-readable storage medium, the various methods described above may be performed.

[0180] In addition, the computer device may also include (but not limited to) a data bus, an input / output (I / O) bus, a display, and input / output devices (eg, keyboard, mouse, speaker, etc.), etc.

[0181] The processor may communicate with external devices via an I / O bus via a wired or wireless network.

[0182] In one embodiment, the at least one computer executable instruction may also be compiled into or constitute a software product / computer program product, wherein one or more computer executable instructions are executed by a processor to perform the various functions and / or method steps in the embodiments described in the present technology.

[0183] In the embodiments provided in the present disclosure, it should be understood that the disclosed devices and methods can also be implemented in other ways. The device embodiments described above are merely schematic. For example, the flowcharts and block diagrams in the accompanying drawings show the possible architecture, functions and operations of the devices, methods and computer program products according to multiple embodiments of the present disclosure. In this regard, each box in the flowchart or block diagram can represent a module, a program segment or a part of a code, and the above-mentioned module, program segment or a part of the code contains one or more executable instructions for implementing the specified logical function. It should also be noted that in some alternative implementations, the functions marked in the box can also occur in a different order from the order marked in the accompanying drawings. For example, two consecutive boxes can actually be executed substantially in parallel, and they can sometimes be executed in the opposite order, depending on the functions involved. It should also be noted that each box in the block diagram and / or flowchart, and the combination of boxes in the block diagram and / or flowchart can be implemented with a dedicated hardware-based system that performs a specified function or action, or can be implemented with a combination of dedicated hardware and computer instructions.

[0184] It should be noted that in the present disclosure, the terms "include", "comprises" or any other variations thereof are intended to cover non-exclusive inclusion, so that a process, method, article or device including a series of elements includes not only those elements, but also other elements not explicitly listed, or also includes elements inherent to such process, method, article or device. In the absence of further restrictions, an element limited by the sentence "includes a ..." does not exclude the existence of other identical elements in the process, method, article or device including the element.

[0185] Although the embodiments disclosed in the present disclosure are as above, the above contents are only embodiments adopted for facilitating the understanding of the present disclosure and are not intended to limit the present disclosure. Any technician in the technical field to which the present disclosure belongs can make any modifications and changes in the form and details of the implementation without departing from the spirit and scope disclosed in the present disclosure, but the scope of patent protection of the present disclosure shall still be subject to the scope defined in the attached claims.

Claims

1. A railway line unit status evaluation method, characterized in that: include: Based on the straight line segments and the curve segments, the railway line units are divided according to the preset lengths to obtain a set of railway line evaluation units; According to the pre-determined evaluation indicators, a hierarchical model for comprehensive evaluation of the service status of heavy-duty railway line units with the lowest significant score is established; Outputting an indicator set of each line evaluation unit in the railway line evaluation unit set by using the least significant heavy-duty railway line unit service status comprehensive evaluation hierarchical model; Construct a priority relationship judgment matrix; Calculating the consistency ratio of the priority relationship judgment matrix; If the consistency ratio is greater than or equal to a preset ratio threshold, the step of calculating the consistency ratio of the priority relationship judgment matrix is ​​re-executed after adjusting the priority relationship judgment matrix; If the consistency ratio is less than a preset ratio threshold, a weight set is constructed according to the priority relationship judgment matrix, and a comprehensive score is calculated according to the weight set and the indicator set; According to the comprehensive score, the indicator set of each route evaluation unit is processed to obtain the final score of each route evaluation unit; The final score of each route evaluation unit is calculated according to the weight set and the low-score saliency indicator set of each route evaluation unit, and the analysis result of each route evaluation unit is output according to the final score of each route evaluation unit and the preset evaluation level.

2. The method according to claim 1, characterized in that The railway line unit is divided according to the preset length based on the straight line segment and the curve segment to obtain a railway line evaluation unit set, including: Dividing the railway line unit into straight segments and curved segments to obtain a straight segment set and a curved segment set; The straight line segment set is divided according to a preset length, and a portion of the straight line segment set that is less than a preset length but greater than a preset length threshold is separately divided into a unit, and a portion that is less than the preset length threshold is merged into the previous unit to obtain a straight line segment line evaluation unit set; The curve segment set is divided according to a preset length, and a portion of the curve segment set that is less than a preset length but greater than a preset length threshold is separately divided into a unit, and a portion that is less than the preset length threshold is merged into a previous unit to obtain a curve segment line evaluation unit set; The straight line segment line evaluation unit set and the curve segment line evaluation unit set are combined to obtain a railway line evaluation unit set.

3. The method according to claim 2, characterized in that The comprehensive evaluation hierarchical model for the service status of heavy-duty railway line units using the lowest-score significant value outputs an indicator set for each line evaluation unit in the railway line evaluation unit set, including: Acquire status data of any line evaluation unit in the railway line evaluation unit set; The final score in each status evaluation index system is calculated according to the status data by using the comprehensive evaluation hierarchical model of the service status of the heavy-duty railway line unit with the lowest significant score; The final score in each state evaluation index system is output to obtain the index set.

4. The method according to claim 3, characterized in that The calculating the consistency ratio of the priority relationship judgment matrix includes: Confirming the consistency index according to the priority relationship judgment matrix; The consistency ratio is calculated based on the consistency index and the predetermined random consistency index using the following formula: Where C is the consistency ratio, λ max is the maximum eigenvalue in the priority relationship judgment matrix, n is the order of the priority relationship judgment matrix, and R is the random consistency index.

5. The method according to claim 4, characterized in that The calculating a comprehensive score according to the weight set and the indicator set includes: The comprehensive score is calculated using the following formula: Among them, G u is the comprehensive score, N is the number of samples in the indicator set, G i is the score of the i-th state evaluation index system in the index set, W i is the i-th weight in the weight set.

6. The method according to claim 5, characterized in that The step of performing minimum-score significant processing on the indicator set of each route evaluation unit according to the comprehensive score to obtain the final score of each route evaluation unit includes: The saliency processing is expressed by the following formula: Where S is the final score, S min is the lowest score in the indicator set, U is the upper-level scoring interval of the scoring interval where the lowest score in the indicator set is located, and G u is the comprehensive score of the indicator set.

7. A railway line unit status evaluation device, characterized in that: include: A line division module is used to divide the railway line unit based on the straight line segment and the curve segment according to the preset length to obtain a set of railway line evaluation units; An indicator set output module is used to establish a minimum-significant heavy-haul railway line unit service state comprehensive evaluation hierarchical model according to a predetermined evaluation index, and output an indicator set of each line evaluation unit in the railway line evaluation unit set using the minimum-significant heavy-haul railway line unit service state comprehensive evaluation hierarchical model; A consistency calculation module, used to construct a priority relationship judgment matrix and calculate the consistency ratio of the priority relationship judgment matrix; A consistency judgment module, used to judge whether the consistency ratio is greater than or equal to a preset ratio threshold, and if the consistency ratio is greater than or equal to the preset ratio threshold, the step of calculating the consistency ratio of the priority relationship judgment matrix is ​​re-executed after adjusting the priority relationship judgment matrix; A low-score saliency module is used to perform minimum-score saliency processing on the indicator set of each line evaluation unit according to the comprehensive score to obtain the final score of each line evaluation unit, calculate the final score of each line evaluation unit according to the weight set and the low-score saliency indicator set of each line evaluation unit, and output the analysis result of each line evaluation unit according to the final score of each line evaluation unit and a preset evaluation level.

8. A computer device comprising a memory, a processor and a computer program stored in the memory, characterized in that: The processor executes the computer program to implement the steps of the method according to any one of claims 1 to 6.

9. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by a processor, the steps of the method according to any one of claims 1 to 6 are implemented.

10. A computer program product, comprising a computer program, characterized in that When the computer program is executed by a processor, the steps of the method according to any one of claims 1 to 6 are implemented.

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