CN114025371A - Method and device for evaluating railway GSM-R network application quality - Google Patents

Method and device for evaluating railway GSM-R network application quality Download PDF

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CN114025371A
CN114025371A CN202111355882.XA CN202111355882A CN114025371A CN 114025371 A CN114025371 A CN 114025371A CN 202111355882 A CN202111355882 A CN 202111355882A CN 114025371 A CN114025371 A CN 114025371A
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肖培伦
曹丽艳
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Beijing Dingxingda Information Technology Co ltd
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    • H04—ELECTRIC COMMUNICATION TECHNIQUE
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Abstract

The embodiment of the invention provides a method, a device, electronic equipment and a storage medium for evaluating the application quality of a railway GSM-R network, wherein the evaluation method comprises the steps of obtaining performance quality data of the GSM-R network and scoring data of indexes of the performance quality of the GSM-R network by experts; calculating the index weight of the GSM-R network performance quality through an AHP algorithm according to the grading data; calculating the rank of the railway bureau by a TOPSIS algorithm according to the GSM-R network performance quality data and the index weight; the invention can accurately, fairly and reasonably reflect the whole difference between the railway bureau group companies and the transverse comparison and difference of each index between the railway bureau group companies in a real and objective way.

Description

Method and device for evaluating railway GSM-R network application quality
Technical Field
The invention relates to the technical field of rail communication, in particular to a method, device and electronic equipment for evaluating the application quality of a railway GSM-R network and a storage medium.
Background
The China national railway group Limited company mobile communication technology room and the GSM-R support maintenance room are organized to carry out the operation quality analysis and the GSM-R network optimization work for two years, the content of the performance quality report is continuously optimized, the GSM-R system quality analysis work is deeply researched, and certain experience is accumulated; while reflecting the current performance maintenance situation of the whole path GSM-R network, gradually researching an intelligent evaluation method of the GSM-R system quality; the GSM-R primary comprehensive analysis system is combined to complete functions, the data analysis work efficiency is improved by utilizing an informatization means, and a data foundation is laid for the future GSM-R network intelligent operation and maintenance development.
In the prior art, the determination of the GSM-R network quality index weight mainly depends on manual setting, has subjectivity, and cannot objectively and truly reflect the weight of an index in the network quality; the indexes are not uniform in standard, the scoring standards are not uniform, the calculation cost is high, and the standard reaching rate is easy to judge by mistake; the reported data formats are not uniform, and manual arrangement wastes time and labor.
Disclosure of Invention
The embodiment of the invention provides a method, device electronic equipment and storage medium for evaluating the application quality of a railway GSM-R network, which can conveniently, accurately, fairly and reasonably reflect the whole difference between railway bureau group companies and the transverse comparison and difference of each index between the railway bureau group companies in a real and objective manner and reduce the calculation cost.
In a first aspect, an embodiment of the present invention provides a method for evaluating quality of a railway GSM-R network application, where the method includes:
acquiring performance quality data of the GSM-R network and scoring data of the indexes of the performance quality of the GSM-R network by experts;
calculating the index weight of the GSM-R network performance quality through an AHP algorithm according to the grading data;
and calculating the rank of the railway bureau by a TOPSIS algorithm according to the GSM-R network performance quality data and the index weight.
Optionally, the calculating, by the AHP algorithm, an index weight of the GSM-R network performance quality includes:
determining an evaluation index and the level of the index, and drawing a level structure chart;
constructing a judgment matrix according to the hierarchical structure chart and the grading data;
calculating the consistency of the judgment matrix;
and calculating index weight after the consistency check of the matrix passes.
Alternatively, if the consistency check of the matrix fails, the decision matrix needs to be reconstructed.
Optionally, when the index weight is calculated, the single-layer ranking of the hierarchical structure diagram is calculated by an arithmetic mean method, and an index weight table is generated according to the scoring of the expert on the two-layer index of the hierarchical structure diagram.
Optionally, the calculating the rank of the railway bureau by the TOPSIS algorithm includes:
normalizing the two-layer index data of the hierarchical structure chart in the step of calculating the index weight of the GSM-R network performance quality through an AHP algorithm;
normalizing the normalized data and constructing a normalized matrix;
scores are calculated from the normalization matrix and the results are normalized.
Optionally, the step of normalizing the two-layer index data of the hierarchical structure diagram is to convert all the intermediate indexes, the interval indexes and the negative indexes into positive indexes.
Optionally, when calculating the score according to the normalized matrix and normalizing the result, it is necessary to determine an optimal solution and a worst solution according to the normalized matrix, and calculate distances from the evaluation object to the optimal solution and the worst solution.
In a second aspect, an embodiment of the present invention provides a device for evaluating quality of railway GSM-R network application, where the optimization device includes:
the data acquisition module is used for acquiring scoring data of the indexes of the GSM-R network performance quality by the experts;
the AHP algorithm operation module calculates the index weight of the GSM-R network performance quality through an AHP algorithm;
and the TOPSIS algorithm operation module calculates the rank of the railway bureau through the TOPSIS algorithm.
In a third aspect, an embodiment of the present invention provides an electronic device, including a memory and a processor, where the memory stores a computer program thereon, and the processor implements the method according to any one of the first aspect when executing the program.
In a fourth aspect, an embodiment of the invention provides a computer-readable storage medium on which is stored a computer program which, when executed by a processor, implements the method of any one of the first aspects.
Advantageous effects
The embodiment of the invention provides a method and a device for evaluating the application quality of a railway GSM-R network, wherein the evaluation method comprises the steps of obtaining performance quality data of the GSM-R network and scoring data of indexes of the performance quality of the GSM-R network by experts; calculating the index weight of the GSM-R network performance quality through an AHP algorithm according to the grading data; calculating the rank of the railway bureau by a TOPSIS algorithm according to the GSM-R network performance quality data and the index weight; the method can accurately, fairly and reasonably reflect the whole difference between the railway bureau group companies and the transverse comparison and difference of each index between the railway bureau group companies in a real and objective way.
It should be understood that the statements herein reciting aspects are not intended to limit the critical or essential features of any embodiment of the invention, nor are they intended to limit the scope of the invention. Other features of the present invention will become apparent from the following description.
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The above and other features, advantages and aspects of various embodiments of the present invention will become more apparent by referring to the following detailed description when taken in conjunction with the accompanying drawings. In the drawings, the same or similar reference numerals denote the same or similar elements.
FIG. 1 is a flow chart of a method for evaluating the application quality of a railway GSM-R network according to an embodiment of the invention;
FIG. 2 is a view showing a hierarchical structure of evaluation indexes according to an embodiment of the present invention;
FIG. 3 is a schematic structural diagram of a railway GSM-R network application quality evaluation device according to an embodiment of the present invention;
fig. 4 shows a block diagram of an electronic device according to an embodiment of the present invention.
Detailed Description
In order to make those skilled in the art better understand the technical solutions in one or more embodiments of the present disclosure, the technical solutions in one or more embodiments of the present disclosure will be clearly and completely described below with reference to the drawings in one or more embodiments of the present disclosure, and it is obvious that the described embodiments are only a part of the embodiments of the present disclosure, and not all embodiments. All other embodiments that can be derived by a person skilled in the art from one or more of the embodiments described herein without making any inventive step shall fall within the scope of protection of this document.
In the related art, the Analytic Hierarchy Process (AHP) is formally proposed by the american colleague toseisti (tlsae) in the middle of the 70's of the 20 th century; it is a systematic and hierarchical analysis method combining qualitative analysis and quantitative analysis; due to the practicability and effectiveness of the method in processing complex decision problems, attention is quickly paid worldwide; its application has been spread across the fields of economic planning and management, energy policy and distribution, behavioral science, military commander, transportation, agriculture, education, talents, medical treatment, and the environment.
TOPSIS (technique for Order Preference by Similarity to an Ideal solution) was first proposed in 1981 by C.L.Hwang and K.Yoon; the TOPSIS method is a common in-group comprehensive evaluation method, can fully utilize the information of original data, and the result can accurately reflect the difference between evaluation schemes; the basic process is based on the normalized original data matrix, the optimal scheme and the worst scheme in the limited schemes are found out by adopting a cosine method, then the distance between each evaluation object and the optimal scheme and the worst scheme is respectively calculated, and the relative approach degree of each evaluation object and the optimal scheme is obtained and is used as the basis for evaluating the quality; the method has no strict limitation on data distribution and sample content, and data calculation is simple and easy to implement.
It should be noted that the description in the embodiments of the present application is only for clearly illustrating the technical solutions in the embodiments of the present application, and does not limit the technical solutions provided in the embodiments of the present application.
Fig. 1 shows a flow chart of a method for evaluating the application quality of a railway GSM-R network according to an embodiment of the present invention. Referring to fig. 1, the evaluation method includes:
s20, acquiring performance quality data of the GSM-R network and scoring data of the indexes of the performance quality of the GSM-R network by the experts;
specifically, determining all evaluation indexes and the levels of the indexes, and then scoring all the evaluation indexes by experts; wherein the scoring is according to the following table:
Figure BDA0003357541150000051
s40, calculating the index weight of the GSM-R network performance quality through an AHP algorithm according to the grading data;
specifically, a hierarchical structure diagram is drawn according to all the evaluation indexes and the levels of the indexes, and the hierarchical structure diagram is shown in fig. 2;
establishing a judgment matrix by taking the scoring data of all evaluation indexes by experts as an analysis basis;
calculating the consistency of the matrix;
the specific consistency index is calculated by using CI, and the smaller the CI is, the greater the consistency is; CI is 0, with complete consistency; CI is close to 0, and the consistency is satisfactory; the larger the CI, the more severe the inconsistency; the formula:
Figure BDA0003357541150000061
the consistency check needs to introduce a random consistency index RI, and the RI value is shown in the following table:
Figure BDA0003357541150000062
the final test statistic is the test coefficient CR, and the formula is as follows:
Figure BDA0003357541150000063
calculating the weight;
and calculating single-layer sequencing by using an arithmetic mean method, and obtaining the scores of the experts on the two-layer indexes to generate a weight table.
S60, calculating the rank of the railway bureau through a TOPSIS algorithm according to the GSM-R network performance quality data and the index weight;
specifically, two-layer index data of the layer structure diagram is subjected to positive transformation, and all interval indexes and negative indexes are converted into positive indexes;
the forward method comprises the following steps:
the negative index is converted into the positive index formula:
Figure BDA0003357541150000064
or x' ═ M-x;
m is the maximum value of possible values of the index x;
the formula of the intermediate index to the forward index is as follows:
Figure BDA0003357541150000065
wherein M is the maximum value of the possible values of the index x, and M is the minimum value of the possible values of the index x;
the interval index is converted into a forward index formula:
Figure BDA0003357541150000071
wherein [ a, b ] is the optimal stable interval of the index x, and [ a, b ] is the maximum tolerance interval;
standardizing the data, and eliminating different dimensions so that different indexes can be added or subtracted;
a normalized formula:
Figure BDA0003357541150000072
obtaining a standardized result, and constructing a standardized matrix Z according to the standardized result;
Figure BDA0003357541150000073
determining an optimal scheme and a worst scheme according to the standardized matrix Z:
the optimal scheme Z + is formed by the maximum value of each column of elements in Z;
Figure BDA0003357541150000074
the worst case Z-consists of the minimum value of each column of elements in Z;
Figure BDA0003357541150000075
calculating the closeness degree of each evaluation object to the optimal scheme and the worst scheme;
Figure BDA0003357541150000076
wherein wjIs the weight of the jth index;
0≤Ci≤1,Ci→ 1 indicates that the evaluation object is more excellent;
finally, the ranking of the resource performance, the access performance and other performances in the eighteen-path bureau is obtained through calculation respectively.
The embodiment of the invention provides a method and a device for evaluating the application quality of a railway GSM-R network, wherein the evaluation method comprises the steps of obtaining performance quality data of the GSM-R network and scoring data of indexes of the performance quality of the GSM-R network by experts; calculating the index weight of the GSM-R network performance quality through an AHP algorithm according to the grading data; calculating the rank of the railway bureau by a TOPSIS algorithm according to the GSM-R network performance quality data and the index weight; the method can accurately, fairly and reasonably reflect the whole difference between the railway bureau group companies and the transverse comparison and difference of each index between the railway bureau group companies in a real and objective way.
The advantageous effects of the present invention are explained below with a preferred embodiment;
determining all evaluation indexes and the levels of the indexes, and drawing a level structure chart as shown in FIG. 2;
then, obtaining experts to score all evaluation indexes, and establishing a judgment matrix by taking the scoring data as an analysis basis; the scoring is according to the following table;
Figure BDA0003357541150000081
the respective indices are scored as follows:
resource performance:
Figure BDA0003357541150000082
Figure BDA0003357541150000091
simplifying the scoring, and constructing a judgment matrix M:
Figure BDA0003357541150000092
access and other performance rating table:
Figure BDA0003357541150000093
Figure BDA0003357541150000101
constructing a judgment matrix:
Figure BDA0003357541150000102
calculating the consistency of the matrix:
the specific consistency index is calculated by CI, and the smaller the CI is, the larger the consistency is. CI is 0, with complete consistency; CI is close to 0, and the consistency is satisfactory; the larger the CI, the more severe the inconsistency;
the formula:
Figure BDA0003357541150000103
the consistency check needs to introduce a random consistency index RI, and the RI value is as follows:
Figure BDA0003357541150000104
the final test statistic is the test coefficient CR, and the formula is as follows:
Figure BDA0003357541150000105
calculating the weight:
calculating single-layer sequencing by using an arithmetic mean method, obtaining the scores of experts on the two-layer indexes, and generating a weight table as follows:
Figure BDA0003357541150000111
judging the index type, carrying out positive transformation on the two-layer index data in the layer structure diagram, and converting all interval indexes and negative indexes into positive indexes;
the forward method comprises the following steps:
the negative index is converted into the positive index formula:
Figure BDA0003357541150000112
or x' ═ M-x;
m is the maximum value of possible values of the index x;
the formula of the intermediate index to the forward index is as follows:
Figure BDA0003357541150000113
wherein M is the maximum value of the possible values of the index x, and M is the minimum value of the possible values of the index x;
the interval index is converted into a forward index formula:
Figure BDA0003357541150000121
wherein [ a, b ] is the optimal stable interval of the index x, and [ a, b ] is the maximum tolerance interval;
standardizing the data, and eliminating different dimensions so that different indexes can be added or subtracted;
a normalized formula:
Figure BDA0003357541150000122
obtaining a standardized result, and constructing a standardized matrix Z according to the standardized result;
Figure BDA0003357541150000123
determining an optimal scheme and a worst scheme according to the standardized matrix Z:
the optimal scheme Z + is formed by the maximum value of each column of elements in Z;
Figure BDA0003357541150000124
the worst case Z-consists of the minimum value of each column of elements in Z;
Figure BDA0003357541150000125
calculating the degree of closeness between each evaluation object and the optimal scheme and the worst scheme
Figure BDA0003357541150000126
Wherein wjIs the weight of the jth index;
0≤Ci≤1,Ci→ 1 indicates that the evaluation object is more excellent;
finally, the ranking of the resource performance, the access performance and the other performance in the eighteen-path bureau is obtained through calculation respectively and is shown as the following table:
Figure BDA0003357541150000131
in the same way, the access performance, other performance and resource performance are used as two indexes, the weights are 0.429 and 0.571 respectively, and the ranking of one layer of indexes is further calculated, and the result is shown in the following table:
Figure BDA0003357541150000132
the invention uses AHP to calculate the weight of the index, TOPSIS combines the weight and the definite data calculation ranking of each index, from bottom to top, layer by layer calculation, subjective expert scoring and objective algorithm calculation, which makes the result more accurate, fair and reasonable, truly and objectively reflects the whole difference between the railway bureau group companies and the transverse comparison and difference of each index between the railway bureau group companies.
Based on the same inventive concept, the embodiment of the present invention further provides a device for evaluating the quality of the railway GSM-R network application, which can be used to implement the method for evaluating the quality of the railway GSM-R network application described in the above embodiments, as described in the following embodiments: the principle of solving the problems of the railway GSM-R network application quality evaluation device is similar to the railway GSM-R network application quality evaluation method, so the implementation of the railway GSM-R network application quality evaluation device can refer to the implementation of the railway GSM-R network application quality evaluation method, and repeated parts are not repeated. As used hereinafter, the term "unit" or "module" may be a combination of software and/or hardware that implements a predetermined function. While the system described in the embodiments below is preferably implemented in software, implementations in hardware, or a combination of software and hardware are also possible and contemplated.
Fig. 3 shows a block diagram of a quality evaluation device for railway GSM-R network application according to an embodiment of the present invention. As shown in fig. 3, the evaluation device includes:
the data acquisition module 20 is used for acquiring scoring data of the indexes of the GSM-R network performance quality by the experts;
the AHP algorithm operation module 40 calculates the index weight of the GSM-R network performance quality through an AHP algorithm;
and the TOPSIS algorithm operation module 60 calculates the rank of the railway bureau through the TOPSIS algorithm.
The embodiment of the invention provides a quality evaluation device for railway GSM-R network application, which is used for acquiring scoring data of an expert on indexes of GSM-R network performance quality through a data acquisition module 20; the AHP algorithm operation module 40 calculates the index weight of the GSM-R network performance quality through an AHP algorithm; and the TOPSIS algorithm operation module 60 calculates the rank of the railway bureau through the TOPSIS algorithm.
An embodiment of the present invention also provides a computer electronic device, and fig. 4 shows a schematic structural diagram of an electronic device to which an embodiment of the present invention can be applied, and as shown in fig. 4, the computer electronic device includes a Central Processing Unit (CPU)401 that can perform various appropriate actions and processes according to a program stored in a Read Only Memory (ROM)402 or a program loaded from a storage portion 3408 into a Random Access Memory (RAM) 403. In the RAM 403, various programs and data necessary for system operation are also stored. The CPU 401, ROM 402, and RAM 403 are connected to each other via a bus 404. An input/output (I/O) interface 405 is also connected to bus 404.
The following components are connected to the I/O interface 405: an input section 406 including a keyboard, a mouse, and the like; an output section 407 including a display device such as a Cathode Ray Tube (CRT), a Liquid Crystal Display (LCD), and the like, and a speaker; a storage section 408 including a hard disk and the like; and a communication section 409 including a network interface card such as a LAN card, a modem, or the like. The communication section 409 performs communication processing via a network such as the internet. A driver 410 is also connected to the I/O interface 405 as needed. A removable medium 411 such as a magnetic disk, an optical disk, a magneto-optical disk, a semiconductor memory, or the like is mounted on the drive 410 as necessary, so that a computer program read out therefrom is mounted into the storage section 408 as necessary.
The flowchart and block diagrams in the figures illustrate the architecture, functionality, and operation of possible implementations of systems, methods and computer program products according to various embodiments of the present invention. In this regard, each block in the flowchart or block diagrams may represent a module, segment, or portion of code, which comprises one or more executable instructions for implementing the specified logical function(s). It should also be noted that, in some alternative implementations, the functions noted in the block may occur out of the order noted in the figures. For example, two blocks shown in succession may, in fact, be executed substantially concurrently, or the blocks may sometimes be executed in the reverse order, depending upon the functionality involved. It will also be noted that each block of the block diagrams and/or flowchart illustration, and combinations of blocks in the block diagrams and/or flowchart illustration, can be implemented by special purpose hardware-based systems which perform the specified functions or acts, or combinations of special purpose hardware and computer instructions.
The units or modules described in the embodiments of the present invention may be implemented by software, or may be implemented by hardware. The described units or modules may also be provided in a processor, and may be described as: a processor includes a data acquisition module 20, an AHP algorithm calculation module 40, and a TOPSIS algorithm calculation module 60, where the names of these modules do not in some cases constitute a limitation on the module itself, e.g., the data acquisition module may also be described as a "data acquisition module for acquiring scoring data for an expert on the quality of GSM-R network performance".
As another aspect, the present invention further provides a computer-readable storage medium, which may be the computer-readable storage medium included in the apparatus for evaluating quality of railway GSM-R network operation described in the above embodiments; or it may be a computer-readable storage medium that exists separately and is not built into the electronic device. The computer readable storage medium stores one or more programs for use by one or more processors in performing a method for quality assessment of railroad GSM-R network operations described in the present invention.
The foregoing description is only exemplary of the preferred embodiments of the invention and is illustrative of the principles of the technology employed. It will be appreciated by those skilled in the art that the scope of the invention herein disclosed is not limited to the particular combination of features described above, but also encompasses other arrangements formed by any combination of the above features or their equivalents without departing from the spirit of the invention. For example, the above features and (but not limited to) features having similar functions disclosed in the present invention are mutually replaced to form the technical solution.

Claims (10)

1. A quality evaluation method for railway GSM-R network application is characterized by comprising the following steps:
acquiring performance quality data of the GSM-R network and scoring data of the indexes of the performance quality of the GSM-R network by experts;
calculating the index weight of the GSM-R network performance quality through an AHP algorithm according to the grading data;
and calculating the rank of the railway bureau by a TOPSI algorithm according to the GSM-R network performance quality data and the index weight.
2. The evaluation method according to claim 1, wherein the calculating the index weight of the GSM-R network performance quality by the AHP algorithm comprises:
determining an evaluation index and the level of the index, and drawing a level structure chart;
constructing a judgment matrix according to the hierarchical structure chart and the grading data;
calculating the consistency of the judgment matrix;
and calculating index weight after the consistency check of the matrix passes.
3. The evaluation method according to claim 2, wherein the decision matrix is reconstructed if the consistency check of the matrix fails.
4. The evaluation method according to claim 2, wherein the index weight is calculated by calculating a single-layer rank of the hierarchical structure diagram by an arithmetic mean method, and an index weight table is generated according to a score of an expert on a two-layer index of the hierarchical structure diagram.
5. The evaluation method of claim 1, wherein the calculating the rank of the railroad bureau by the TOPSIS algorithm comprises:
normalizing the two-layer index data of the hierarchical structure chart in the step of calculating the index weight of the GSM-R network performance quality through an AHP algorithm;
normalizing the normalized data and constructing a normalized matrix;
scores are calculated from the normalization matrix and the results are normalized.
6. The evaluation method according to claim 5, wherein the normalizing of the two-layer index data of the hierarchy chart is to convert all of the intermediate indexes, the interval indexes and the negative indexes into positive indexes.
7. The evaluation method according to claim 5, wherein an optimal solution and a worst solution are determined from the normalization matrix when calculating a score from the normalization matrix and normalizing the result, and distances from an evaluation object to the optimal solution and the worst solution are calculated.
8. A quality evaluation device for railway GSM-R network operation is characterized in that the evaluation device comprises:
the data acquisition module is used for acquiring scoring data of the indexes of the GSM-R network performance quality by the experts;
the AHP algorithm operation module calculates the index weight of the GSM-R network performance quality through an AHP algorithm;
and the TOPSIS algorithm operation module calculates the rank of the railway bureau through a TOPSI S algorithm.
9. An electronic device comprising a memory and a processor, the memory having stored thereon a computer program, wherein the processor, when executing the computer program, implements the method of any of claims 1 to 7.
10. A computer-readable storage medium, on which a computer program is stored, which, when being executed by a processor, carries out the method according to any one of claims 1 to 7.
CN202111355882.XA 2021-11-16 2021-11-16 Method and device for evaluating railway GSM-R network application quality Pending CN114025371A (en)

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Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN115860524A (en) * 2022-11-21 2023-03-28 国网北京市电力公司 Power equipment supply chain greenness display method, device, equipment and medium

Cited By (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN115860524A (en) * 2022-11-21 2023-03-28 国网北京市电力公司 Power equipment supply chain greenness display method, device, equipment and medium
CN115860524B (en) * 2022-11-21 2024-04-02 国网北京市电力公司 Power equipment supply chain green degree display method, device, equipment and medium

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