Railway maintenance professional safety management efficiency index acquisition method and related product
By acquiring evaluation index data of the railway locomotive maintenance safety management system, combining subjective and objective weight parameters, introducing penalty factors, and adjusting the weights based on accident frequency, the railway locomotive maintenance safety management effectiveness index was calculated. This solved the problem of poor risk control effectiveness and achieved more accurate risk control and closed-loop management.
Patent Information
- Application Number
- CN202510718713.X
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2025-05-30
- Publication Date
- 2025-11-04
AI Technical Summary
In the existing railway locomotive maintenance safety management, risk control is ineffective and it is difficult to achieve effective closed-loop management.
By acquiring evaluation index data of the railway locomotive maintenance safety management system, combining subjective and objective weight parameters, introducing penalty factors, and adjusting the weights based on accident frequency, the railway locomotive maintenance safety management effectiveness index is calculated.
It has achieved more accurate risk control, provided effective guidance for railway locomotive maintenance safety management, and realized closed-loop management.
Smart Images
Figure CN120893809A_ABST
Abstract
Description
TECHNICAL FIELD
[0001] The present application relates to the field of railway operation information processing technology, in particular to a railway operation professional safety management efficiency index acquisition method and related products. BACKGROUND
[0002] The operation department undertakes the important responsibilities of locomotive operation, maintenance and management in the railway system, and is the key department to ensure the safe and efficient operation of railway transportation. At present, the information related to the safety management of the railway operation department generally includes safety evaluation index data, objective weight parameters and subjective weight parameters of comprehensive indexes. Although the above parameters can reflect the expert experience and objective data to some extent, the inventors found in the process of implementing the present application that the effect is still poor when the railway operation professional safety management and risk control are based on the above information. SUMMARY
[0003] The present application provides a railway operation professional safety management efficiency index acquisition method and related products to solve the problem of poor risk control effect of existing railway operation professional safety management, and realizes closed-loop management of railway operation professional safety.
[0004] The present application provides a railway operation professional safety management efficiency index acquisition method, comprising the following steps.
[0005] Obtain the index data of the evaluation index of the railway operation professional safety management system; Obtain the subjective weight parameter and the objective weight parameter of the evaluation index; Determine the comprehensive weight parameter of the evaluation index according to the subjective weight parameter and the objective weight parameter; Obtain the penalty factor of the evaluation index; the penalty factor is determined according to the frequency of the evaluation index causing safety accidents; Based on the penalty factor, the comprehensive weight parameter is modified to obtain a target comprehensive weight parameter; Determine the efficiency index of the railway operation professional safety management system based on the index data of the evaluation index and the target comprehensive weight parameter.
[0006] According to the railway operation professional safety management efficiency index acquisition method provided by the present application, the method further comprises: Obtain the frequency parameter of the evaluation index causing safety accidents; Determine the penalty factor of the evaluation index according to the frequency parameter.
[0007] According to the railway operation professional safety management efficiency index acquisition method provided by the present application, the penalty factor of the evaluation index is determined according to the frequency parameter, which comprises: A penalty factor of the evaluation index is determined according to a proportion of a frequency parameter of the evaluation index in a total frequency parameter, the total frequency parameter being a total frequency of accidents caused by all parent index reasons, and the parent index being all evaluation indexes at the same level as the evaluation index under a parent level of the evaluation index.
[0008] According to the railway operation professional safety management efficiency index acquisition method provided by the application, a penalty factor of an evaluation index is determined according to a proportion of a frequency parameter of the evaluation index in a total frequency parameter, and the method comprises the following steps: The penalty factor of the evaluation index is determined according to the following formula: In the formula, f represents the penalty factor of the evaluation index, f represents the frequency parameter of the evaluation index, and F represents the total frequency parameter. y i The evaluation index is represented by f. i The frequency of accidents caused by the evaluation index is represented by f. n The number of all evaluation indexes at the same level as the evaluation index under the parent level of the evaluation index is represented by n. The penalty factor of the evaluation index is represented by f. i
[0009] According to the railway operation professional safety management efficiency index acquisition method provided by the application, the comprehensive weight parameter is modified based on the penalty factor, and the method comprises the following steps: The comprehensive weight parameter is modified according to the following formula: In the formula, w represents the target comprehensive weight of the evaluation index, w represents the comprehensive weight of the index, and f represents the penalty factor of the evaluation index. i i i
[0010] According to the railway operation professional safety management efficiency index acquisition method provided by the application, the method further comprises the following steps: The frequency of accidents caused by the evaluation index is updated in real time.
[0011] According to the railway operation professional safety management efficiency index acquisition method provided by the application, the method further comprises the following steps: The weights of the indexes at the same level under the same parent index are normalized.
[0012] According to the railway operation professional safety management efficiency index acquisition device provided by the application, the device comprises the following modules: An index data acquisition module is configured to acquire index data of evaluation indexes of a railway operation professional safety management system. The weight parameter acquisition module is configured to acquire subjective weight parameters and objective weight parameters of the evaluation indexes; The comprehensive weight parameter determination module is configured to determine comprehensive weight parameters of the evaluation indexes according to the subjective weight parameters and the objective weight parameters. The penalty factor acquisition module is configured to acquire penalty factors of the evaluation indexes, wherein the penalty factors are determined according to frequencies of causing safety accidents by reasons of the evaluation indexes. The weight parameter correction module is configured to correct the comprehensive weight parameters based on the penalty factors to obtain target comprehensive weight parameters. The efficiency index determination module is configured to determine the efficiency index of the railway operation professional safety management system based on index data of the evaluation indexes and the target comprehensive weight parameters.
[0013] The present application also provides an electronic device, comprising a memory, a processor and a computer program stored in the memory and executable on the processor, wherein the processor implements the above-mentioned railway operation professional safety management efficiency index acquisition method when executing the program.
[0014] The present application also provides a non-transitory computer readable storage medium, which stores a computer program, wherein the computer program is executed by a processor to implement the above-mentioned railway operation professional safety management efficiency index acquisition method.
[0015] The present application also provides a computer program product, comprising a computer program, wherein the computer program is executed by a processor to implement the above-mentioned railway operation professional safety management efficiency index acquisition method.
[0016] The railway operation professional safety management efficiency index acquisition method and related products provided by the present application can more accurately determine the risk control effect of railway operation professional safety management by introducing the penalty factor representing the frequency of causing accidents by reasons of the evaluation indexes on the basis of considering the evaluation index data and the subjective weight and objective weight thereof, and can provide effective guidance for railway operation professional safety management, thereby realizing closed-loop management of railway operation professional safety. BRIEF DESCRIPTION OF DRAWINGS
[0017] In order to more clearly illustrate the technical solutions in the present application or prior art, the following will briefly introduce the drawings needed to be used in the embodiments or prior art description. Obviously, the drawings in the following description are some embodiments of the present application, and for those skilled in the art, other drawings can also be obtained without creative labor on the basis of these drawings.
[0018] Figure 1 is a flowchart of the railway operation professional safety management efficiency index acquisition method provided by the embodiments of the present application.
[0019] Figure 2 is a flowchart of the index weight determination method provided by the embodiment of the present application.
[0020] Figure 3 is a railway operation professional safety management framework provided by the embodiment of the present application.
[0021] Figure 4 is a railway operation professional safety management level evaluation index system diagram provided by the embodiment of the present application.
[0022] Figure 5 is a structural diagram of a railway operation professional safety management level determination device provided by the embodiment of the present application.
[0023] Figure 6 is a structural diagram of an electronic device provided by the embodiment of the present application. DETAILED DESCRIPTION
[0024] In order to make the objectives, technical solutions and advantages of the present application clearer, the technical solutions in the present application will be described clearly and completely below with reference to the drawings in the present application. Obviously, the described embodiments are some embodiments of the present application, but not all the embodiments. Based on the embodiments in the present application, all other embodiments obtained by those skilled in the art without creative work fall within the protection scope of the present application.
[0025] Figure 1 is a flowchart of a railway operation professional safety management efficiency index acquisition method provided by the present application, as shown in Figure 1 The method comprises the following steps 101 to 106.
[0026] Step 101, acquiring index data of evaluation indexes of a railway operation professional safety management system; Step 102, acquiring subjective weight parameters and objective weight parameters of the evaluation indexes; Step 103, determining a comprehensive weight parameter of the evaluation indexes according to the subjective weight parameters and the objective weight parameters; Step 104, acquiring a penalty factor of the evaluation indexes; the penalty factor is determined according to the frequency of causing safety accidents by the evaluation indexes; Step 105, modifying the comprehensive weight parameter based on the penalty factor to obtain a target comprehensive weight parameter; Step 106, determining an efficiency index of the railway operation professional safety management system based on the index data of the evaluation indexes and the target comprehensive weight parameter.
[0027] The evaluation index structure described in the embodiment is a hierarchical structure, which is divided into multiple levels according to the hierarchy, for example, the first-level index layer has multiple first-level indexes, each first-level index can further include multiple second-level indexes, all the second-level indexes form a second-level evaluation index layer, each second-level index can further include multiple third-level indexes, all the third-level indexes form a third-level evaluation index layer, and so on.
[0028] When determining the index weight in the embodiment, the frequency of the index cause leading to the accident is introduced as a penalty factor on the basis of effectively coordinating the subjective value of the expert and the objectivity of the data, so that the risk control effect of the railway operation professional safety management can be more accurately determined, the railway operation professional safety management is effectively guided, and then the closed-loop management of the railway operation professional safety is realized.
[0029] In one example embodiment, the frequency of the index cause leading to the accident in the real-time updating step 104 is updated in real time, and then the penalty factor of the index is also updated in real time to determine the railway operation professional safety management level more in line with the actual situation.
[0030] It can be understood that the occurrence of the accident is usually caused by the short board of the production unit safety management, but the accident does not occur in a short time, that is, the management of the cause index of the accident is not exposed in a short time from the occurrence of the accident, some accidents occur early, and some accidents occur late. Moreover, with the improvement and strengthening of safety management, some indexes will be improved, and therefore the weight thereof also needs to be adjusted. Based on this, the embodiment updates the weight of the index in real time based on the occurrence of the accident to more truly reflect the importance of the current evaluation index and to more meet the actual management needs.
[0031] In one example embodiment, referring to Figure 2 , the railway operation professional safety management effectiveness index acquisition method further includes the following steps 201 to step 202.
[0032] Step 201, acquiring a frequency parameter of an evaluation index cause leading to a safety accident.
[0033] Step 202, determining a penalty factor of the evaluation index according to the frequency parameter.
[0034] In one example embodiment, the step 202 of the above embodiment determines the penalty factor of the evaluation index according to the frequency parameter, which can specifically determine the penalty factor of the evaluation index according to the proportion of the frequency parameter of the evaluation index in the total frequency parameter. The total frequency parameter is the total frequency of the accident caused by all the same parent index, and the same parent index is all the evaluation indexes at the same level as the evaluation index under the parent level of the evaluation index.
[0035] Further, the calculation formula of the evaluation index penalty factor can be as follows: (1) wherein, y i represents the evaluation index i reasoned accident frequency, n represents the number of all evaluation indexes at the same level as the evaluation index under the parent level to which the evaluation index belongs, represents the evaluation index i penalty factor.
[0036] In an example embodiment, on the basis of the above embodiment, the comprehensive weight parameter is corrected based on the penalty factor, which can be realized by the following formula.
[0037] (2) wherein, represents the target comprehensive weight of the evaluation index i represents the comprehensive weight of the index represents the penalty factor of the evaluation index i i
[0038] In an example embodiment, after the maximum weight of the index is obtained, the weights of the indexes at the same level under the same parent index are normalized. For example, the index level index A1 contains A 11 , A 12 , A 13 three secondary indexes, then the parent index of A 11 , A 12 , A 13 is the first level index A1, and the corresponding normalization processing is to normalize A 11 , A 12 , A 13 .
[0039] The normalization processing formula can be as follows: (3) wherein, represents the normalized index weight of the evaluation index i represents the index weight of the evaluation index before normalization, i represents the number of all indexes at the same level as the evaluation index under the parent index to which the evaluation index belongs, including the evaluation index n i i i
[0040] Finally, the normalized evaluation index weight is multiplied by the index data, and the scores of the system at each level are further accumulated.
[0041] (4) wherein, , , respectively represent the data of the first index, the second index and the n third index. For example, the index hierarchical structure evaluation model has two levels of indexes, one level of indexes includes first-level indexes A1, A2 and A3, two levels of indexes include three second-level indexes A 11 , 12 , 13 under the first-level index A1, three second-level indexes A 21 , 22 , 23 under the first-level index A2, and three second-level indexes A 31 , 32 , 33 under the first-level index A3. According to the method introduced above, the weight of each index is determined, and the index data of the index A1 is the weighted sum of the index data of the three second-level indexes A 11 , 12 , 13 , the index data of A 11 , 12 , 13 is obtained by scoring by a professional according to the actual situation, and the calculation method of the index data of A2 and A3 is the same as that of the index data of A1. After obtaining the index data of A1, A2 and A3, the final efficiency index of the railway maintenance professional safety management system is obtained by using the weighted sum method.
[0042] The steps 101 to 103 in the above embodiment are described in detail below.
[0043] (1) The index subjective weight based on the AHP algorithm is calculated as follows: 1) Construct a judgment matrix invite maintenance professional safety management personnel to compare each index with each other, for the importance comparison results of factor i and factor j , the matrix composed of the comparison results is called a judgment matrix G .
[0044] (5) G = (6) 2) Weight value calculation and its consistency test The eigenvector corresponding to the maximum eigenvalue of the judgment matrix , after normalization, is recorded as w . w The element of the eigenvector is the weight value of the relative importance of the same level factor to a factor of the previous level factor.
[0045] The judgment matrix G needs to pass the consistency test to show that the judgment matrix is logically reasonable. The calculation method of the consistency test of the judgment matrix is: Calculate the consistency index CI, where is the maximum eigenvalue of the judgment matrix G , and n is the number of factors.
[0046] Calculate the consistency ratio CR, CR=CI / RI.
[0047] (2) Index objective weight calculation based on CRITIC algorithm 1) Standardization processing of index data Considering the different dimensions and units of index data, standardization processing is performed on all index data.
[0048] For positive indicators (the larger the better), the calculation formula is: (7) In the formula, is the index data; is the standardized index data after processing; is the maximum value of the same index data; is the minimum value of the same index data.
[0049] For negative indicators (the smaller the better), the calculation formula is: (8) For moderate indicators (there is a critical threshold), the calculation formula is: (9) In the formula, is the upper limit of the critical threshold; is the lower limit of the critical threshold.
[0050] 2) Calculate the index correlation coefficient (10) 3) Calculate the information content of the index According to the index correlation coefficient, the information content of each index is calculated, and the larger the value, the greater the information content.j for (11) (12) 4) Calculate the weight values (13) (3) Calculation of comprehensive weight of indicators based on combined weighting To effectively coordinate the subjective and objective weights calculated by AHP and CRITIC, and with the goal of minimizing information loss from individual weighting, a game-theoretic set theory model is introduced for combined weighting. The specific steps of the game-theoretic combined weighting method for calculating the comprehensive weight are as follows: 1) Construct a weight vector set The basic weight vector set of the evaluation indicators is as follows: (14) Further build with k Weight vector set of railway safety management basic capability evaluation indicators using various weighting methods As shown below: (15) In the formula, This is the overall weighting coefficient.
[0051] 2) Determine the linear composite weight coefficients Based on game theory, the weights under different weighting methods are balanced. To obtain the optimal linear composite weight coefficient, it is necessary to determine the Nash equilibrium point and seek to minimize the deviation between the composite weight and each individual weight. and Minimizing the deviation between them can be expressed as: (16) According to the properties of matrix differential equations, the first derivative of the linear system of equations (15) is: (17) 3) Calculate the overall weight The weight coefficient of the linear composite weight can be obtained from equation (17). After normalization, we get: (18) The overall weight is further calculated as follows: (19) The present invention will now be described with reference to specific examples.
[0052] (1) Construct an evaluation index system for the inherent safety of railway locomotive maintenance management. Will Figure 3The elements of the safety management framework of the locomotive profession are taken as the first-level indicators, with the main characteristics of being measurable and quantifiable. Through a large number of research work in the locomotive departments and locomotive depots of the railway bureaus, combined with the main content of on-site safety management and the characteristics of the locomotive profession, the second-level and third-level indicators are formulated, and the index system of the essential safety evaluation of the railway locomotive professional management is constructed, as shown in Figure 4 .
[0053] (2) Calculate the subjective weight of the index based on AHP According to the evaluation index system of the safety management of the railway locomotive profession, Figure 4 , the safety management personnel of the locomotive profession are selected to score the first-level, second-level and third-level indicators, and the subjective weight of the essential safety index of the locomotive professional management is finally calculated, as shown in Table 1.
[0054] Table 1 (3) Calculate the objective weight of the index based on CRITIC According to the essential safety evaluation index system of the railway locomotive professional management, Figure 4 , the index data of the evaluation objects from 21 to 23 years are collected, and the CRITIC weight method is adopted to calculate the objective weight of the third-level index of the locomotive, as shown in Table 2.
[0055] Table 2 (4) Calculate the comprehensive weight of the index based on combination weighting Based on the subjective and objective weight values in Table 1 and Table 2, the combination weighting method of game theory is adopted, and the comprehensive weight of the index is calculated according to formula (14) to formula (19) in step 4, as shown in Table 3: Table 3 (5) Self-adaptive optimization of accident causation index weight Assume that the evaluation object has occurred 10 accidents in the past five years, of which 5 accidents are caused by safety production responsibility and 5 accidents are caused by safety management system. The self-adaptive weight of the index is calculated by formula (1) to formula (3), as shown in Table 4: Table 4 (6) Calculate the evaluation results based on the weighted average method According to the three-level index data collected by the maintenance professional, after the standardization processing of formula (7) to formula (9), combined with the comprehensive weight value of table 3 index, formula (4) is calculated, and the scores of different levels of indexes can be obtained, as shown in table 5. The final safety management level value of the evaluation object is 70.9 points.
[0056] Table 5 The railway maintenance professional safety management level determination device provided by the present application is described below. The railway maintenance professional safety management level determination device described below can be correspondingly referred to the railway maintenance professional safety management efficiency index acquisition method described above.
[0057] Referring to Figure 5 The railway maintenance professional safety management efficiency index acquisition device includes: The index data acquisition module 501 is configured to acquire index data of evaluation indexes of the railway maintenance professional safety management system.
[0058] The weight parameter acquisition module 502 is configured to acquire subjective weight parameters and objective weight parameters of the evaluation indexes.
[0059] The comprehensive weight parameter determination module 503 is configured to determine comprehensive weight parameters of the evaluation indexes according to the subjective weight parameters and the objective weight parameters.
[0060] The penalty factor acquisition module 504 is configured to acquire penalty factors of the evaluation indexes; the penalty factors are determined according to the frequency of causing safety accidents by the evaluation indexes.
[0061] The weight parameter correction module 505 is configured to correct the comprehensive weight parameters based on the penalty factors to obtain target comprehensive weight parameters.
[0062] The efficiency index determination module 506 is configured to determine the efficiency index of the railway maintenance professional safety management system based on the index data of the evaluation indexes and the target comprehensive weight parameters.
[0063] Figure 6 An example of an entity structure schematic diagram of an electronic device is shown in Figure 6As shown, the electronic device can include a processor 610, a communications interface 620, a memory 630, and a communications bus 640, wherein the processor 610, the communications interface 620, and the memory 630 complete mutual communication through the communications bus 640. The processor 610 can invoke a logic instruction in the memory 630 to execute a railway service professional safety management efficiency index acquisition method, which includes: acquiring index data of evaluation indexes of a railway service professional safety management system; acquiring subjective weight parameters and objective weight parameters of the evaluation indexes; determining a comprehensive weight parameter of the evaluation indexes according to the subjective weight parameters and the objective weight parameters; acquiring a penalty factor of the evaluation indexes; the penalty factor is determined according to a frequency of causing a safety accident by an evaluation index reason; based on the penalty factor, the comprehensive weight parameter is modified to obtain a target comprehensive weight parameter; and based on the index data of the evaluation indexes and the target comprehensive weight parameter, an efficiency index of the railway service professional safety management system is determined.
[0064] In addition, the logic instruction in the memory 630 described above can be implemented in the form of a software function unit and sold or used as an independent product, and can be stored in a computer readable storage medium. Based on such understanding, the technical solutions of the present application or parts of the present application that make essential contributions or parts of the technical solutions can be embodied in the form of a software product, and the computer software product is stored in a storage medium, including a plurality of instructions for causing a computer device (which can be a personal computer, a server, or a network device, etc.) to execute all or part of the steps of the method described in the various embodiments of the present application. The foregoing storage medium includes a U disk, a mobile hard disk, a read-only memory (ROM, Read-Only Memory), a random access memory (RAM, Random Access Memory), a magnetic disk or an optical disk, and various program code storage media.
[0065] In another aspect, the present application also provides a computer program product comprising a computer program, which can be stored on a non-transitory computer readable storage medium, and the computer program can be executed by a processor to enable a computer to perform the railway operation professional safety management efficiency index obtaining method provided by the above-mentioned methods, which comprises: obtaining index data of evaluation indexes of a railway operation professional safety management system; obtaining subjective weight parameters and objective weight parameters of the evaluation indexes; determining comprehensive weight parameters of the evaluation indexes according to the subjective weight parameters and the objective weight parameters; obtaining a penalty factor of the evaluation indexes; the penalty factor is determined according to the frequency of causing safety accidents by the evaluation indexes; modifying the comprehensive weight parameters based on the penalty factor to obtain target comprehensive weight parameters; and determining the efficiency index of the railway operation professional safety management system based on the index data of the evaluation indexes and the target comprehensive weight parameters.
[0066] In yet another aspect, the present application also provides a non-transitory computer readable storage medium having a computer program stored thereon, which can be executed by a processor to implement the railway operation professional safety management efficiency index obtaining method provided by the above-mentioned methods, which comprises: obtaining index data of evaluation indexes of a railway operation professional safety management system; obtaining subjective weight parameters and objective weight parameters of the evaluation indexes; determining comprehensive weight parameters of the evaluation indexes according to the subjective weight parameters and the objective weight parameters; obtaining a penalty factor of the evaluation indexes; the penalty factor is determined according to the frequency of causing safety accidents by the evaluation indexes; modifying the comprehensive weight parameters based on the penalty factor to obtain target comprehensive weight parameters; and determining the efficiency index of the railway operation professional safety management system based on the index data of the evaluation indexes and the target comprehensive weight parameters.
[0067] The device embodiments described above are only schematic, wherein the units illustrated as separate components can or can not be physically separate, and the components illustrated as units can or can not be physical units, i.e., can be located in one place or distributed on a plurality of network units. Some or all of the modules can be selected according to actual needs to achieve the purpose of the present embodiment. Those skilled in the art can understand and implement without creative labor.
[0068] Those skilled in the art can clearly understand the technical solutions of the various embodiments from the above description of the embodiments, and the various embodiments can be implemented by means of software with the necessary general hardware platforms, and of course, can also be implemented by hardware. Based on such understanding, the above technical solutions, essentially or in other words, the part of the prior art that makes a contribution, can be embodied in the form of a software product, which can be stored in a computer readable storage medium, such as a ROM / RAM, a magnetic disk, an optical disk, and the like, and includes a number of instructions for causing a computer device (which can be a personal computer, a server, or a network device, etc.) to execute the methods described in the various embodiments or some parts of the embodiments.
[0069] Finally, it should be noted that: the above embodiments are only used to illustrate the technical solutions of the present application, rather than limit them; although the present application has been described in detail with reference to the foregoing embodiments, those skilled in the art should understand that: it can still modify the technical solutions recorded in the foregoing embodiments, or make equivalent replacement for some technical features therein; and these modifications or replacements do not make the essence of the corresponding technical solutions deviate from the spirit and scope of the technical solutions of the embodiments of the present application.
Claims
1. A method for obtaining the safety management efficiency index of railway locomotive maintenance, characterized in that, include: Obtain the indicator data for the evaluation indicators of the railway locomotive maintenance safety management system; Obtain the subjective and objective weight parameters of the evaluation indicators; Based on the subjective weight parameters and the objective weight parameters, the comprehensive weight parameters of the evaluation indicators are determined; Obtain the penalty factor for the evaluation index; the penalty factor is determined based on the frequency of safety accidents caused by the evaluation index. Based on the penalty factor, the comprehensive weight parameters are corrected to obtain the target comprehensive weight parameters; Based on the indicator data and target comprehensive weight parameters of the evaluation indicators, the effectiveness index of the railway locomotive professional safety management system is determined.
2. The method for obtaining the railway locomotive maintenance professional safety management efficiency index according to claim 1, characterized in that, Also includes: Obtain the frequency parameters of safety accidents caused by the evaluation indicators; The penalty factor for the evaluation index is determined based on the frequency parameter.
3. The method for obtaining the railway locomotive maintenance professional safety management efficiency index according to claim 2, characterized in that, Determining the penalty factor for the evaluation index based on the frequency parameter includes: The penalty factor for the evaluation indicator is determined based on the proportion of the frequency parameter of the evaluation indicator in the total frequency parameter; the total frequency parameter is the total frequency of accidents caused by all parent indicators, and the parent indicators are all evaluation indicators at the same level as the evaluation indicator under the parent of the evaluation indicator.
4. The method for obtaining the railway locomotive maintenance professional safety management efficiency index according to claim 3, characterized in that, Based on the proportion of the frequency parameter of the evaluation indicator in the total frequency parameters, the penalty factor of the evaluation indicator is determined, including: The penalty factor for the evaluation index is determined using the following formula: in, y i Indicators i The frequency of accidents caused by [reason] n This indicates the number of all evaluation indicators at the same level as the evaluation indicator under its parent category. Indicators i The penalty factor.
5. The method for obtaining the railway locomotive maintenance professional safety management efficiency index according to claim 3, characterized in that, Based on the penalty factor, the comprehensive weight parameters are modified, including: The comprehensive weighting parameters are corrected according to the following formula: in, Indicators i The overall target weight, Indicators i The overall weight, Indicators i The penalty factor.
6. The method for obtaining the railway locomotive maintenance professional safety management efficiency index according to claim 3, characterized in that, Also includes: The frequency of accidents caused by the evaluation indicators is updated in real time.
7. The method for obtaining the railway locomotive maintenance professional safety management efficiency index according to any one of claims 1-6, characterized in that, Also includes: The weights of sibling indicators under the same parent indicator are normalized.
8. A device for obtaining the safety management efficiency index of railway locomotive maintenance, characterized in that, include: The indicator data acquisition module is used to acquire indicator data for the evaluation indicators of the railway locomotive professional safety management system; The weight parameter acquisition module is used to obtain the subjective and objective weight parameters of the evaluation indicators. The comprehensive weight parameter determination module is used to determine the comprehensive weight parameters of the evaluation index based on the subjective weight parameters and the objective weight parameters. The penalty factor acquisition module is used to acquire the penalty factor of the evaluation index; the penalty factor is determined based on the frequency of safety accidents caused by the evaluation index. The weight parameter correction module is used to correct the comprehensive weight parameter based on the penalty factor to obtain the target comprehensive weight parameter; The efficiency index determination module is used to determine the efficiency index of the railway locomotive professional safety management system based on the indicator data of the evaluation indicators and the target comprehensive weight parameters.
9. An electronic device comprising a memory, a processor, and a computer program stored in the memory and running on the processor, characterized in that, When the processor executes the program, it implements the method for obtaining the railway locomotive maintenance professional safety management efficiency index as described in any one of claims 1 to 7.
10. A non-transitory computer-readable storage medium having a computer program stored thereon, characterized in that, When the computer program is executed by the processor, it implements the railway locomotive maintenance professional safety management efficiency index acquisition method as described in any one of claims 1 to 7.