CN115953046A - Method for evaluating comprehensive capability of 10kV distribution network uninterrupted operating personnel - Google Patents

Method for evaluating comprehensive capability of 10kV distribution network uninterrupted operating personnel Download PDF

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CN115953046A
CN115953046A CN202211154249.9A CN202211154249A CN115953046A CN 115953046 A CN115953046 A CN 115953046A CN 202211154249 A CN202211154249 A CN 202211154249A CN 115953046 A CN115953046 A CN 115953046A
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evaluation
distribution network
weight
index
comprehensive
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罗颜
刘金
邹江华
刘建
杨松
谭进
熊仕磊
袁晓松
邹继明
袁学士
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Zunyi Power Supplying Bureau of Guizhou Power Grid Co Ltd
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Abstract

The invention discloses a method for evaluating the comprehensive capability of operators without power outage in a 10kV distribution network, and relates to the technical field of electric power. The method comprises the following steps: collecting training specifications, post specifications and post standard files of a 10kV distribution network uninterrupted operation work type, effectively combing related duties of employees, refining the post responsibilities into work tasks, and dividing work domains; establishing a mapping relation between work responsibility and the uninterrupted operation post competence of the 10kV distribution network by combining a post competence model and starting from three aspects of knowledge, skill and potential to form a corresponding summary table of post work and competence; in the construction process of the comprehensive capability evaluation index system of the uninterrupted operation personnel of the 10kV distribution network, the post competence model is combined, the practical application of the competence in the power industry is deepened, and the important value of capability management in the human resource management of enterprises is exerted. The established index system is beneficial to evaluating the comprehensive capability of the staff.

Description

Method for evaluating comprehensive capability of 10kV distribution network uninterrupted operation personnel
Technical Field
The invention relates to the technical field of electric power, in particular to a method for evaluating comprehensive capability of operators in a 10kV distribution network without power outage.
Background
With the rapid development of national economy and the continuous step of urbanization, the power utilization requirements of the society cannot be guaranteed by the maintenance mode of 'one-line one-stop one-large-piece' of the distribution network in the past, therefore, the development of the uninterrupted power operation mode becomes necessary, uninterrupted power operation personnel serve as the main body of the uninterrupted power operation of the distribution network, the comprehensive capacity of the uninterrupted power operation personnel directly concerns the safe and stable operation of the distribution network and the reliability of power supply of users, and the uninterrupted power operation personnel are key strength for guaranteeing the safe operation of operation projects and the normal power supply of the users.
However, the existing distribution network uninterrupted operation management and excitation mechanism is not perfect, so that the professional quality and the skill level of uninterrupted operators are different, the enthusiasm and the operation efficiency of employees are low, the difference with the development requirements of power grid companies and employees is large, the comprehensive capability of the operators is evaluated, a new management tool and means are provided for the management of the manpower resources, and a complete evaluation system aiming at the capability of the distribution network uninterrupted operators does not exist at present, so that the construction of the comprehensive capability system of the distribution network uninterrupted operators from multiple dimensions is worth paying attention.
The concept of competency is proposed by David. McClelland of America in 1973, and refers to a set of traits such as characteristics, attitude, value view, knowledge, behavior skills and personal characteristics, which are presented by employees under certain working environment conditions and can be measured in a reliable manner, wherein the post competency refers to traits and skills required by the employees to produce excellent performance on the post in a specific organization, the traits and skills can distinguish excellent employees from general employees, and through combining a post competency model, comprehensive evaluation is performed on competency traits such as explicit characteristics to implicit characteristics of 10kV distribution network uninterrupted operation personnel, so that references are provided for scientific and comprehensive evaluation and targeted promotion of various abilities of subsequent employees, and decision support is provided for management personnel and training teachers for accurate training and lean management of uninterrupted operation.
Disclosure of Invention
Aiming at the defects of the prior art, the invention provides a method for evaluating the comprehensive capability of operators in a 10kV distribution network without power outage, so as to solve the problems in the background technology.
In order to achieve the purpose, the invention provides the following technical scheme: a method for evaluating the comprehensive capability of a 10kV distribution network uninterrupted operator comprises the following steps:
s1, collecting post standard files such as training specifications, post specifications and operation instruction books of 10kV distribution network uninterrupted operation work types, effectively combing related duties of employees, refining the post duties into work tasks, and dividing work domains;
s2, establishing a mapping relation between work responsibility and the uninterrupted operation post competence of the 10kV distribution network by combining the post competence model and starting from three aspects of knowledge, skill and potential to form a corresponding summary of post work and competence;
s3, optimizing, recombining and integrating the ability items, eliminating redundant ability items, combining simple and related ability items, and summarizing to form a knowledge, skill and potential model;
s4, constructing a personnel ability evaluation index set;
s5, calculating the weight value W of each evaluation index in the evaluation index set by adopting an analytic hierarchy process i
S6, calculating the weight value w of each evaluation index in the evaluation index set by adopting an entropy weight method i
S7, obtaining a weight W by adopting a combined weighting method, namely an analytic hierarchy process i And weight w of entropy weight method i And calculating to obtain the final composite weight epsilon of each evaluation index i
S8, establishing a composite weight vector set of all levels of evaluation indexes of the comprehensive capability of the uninterrupted operator of the 10kV distribution network;
s9, according to the final weight epsilon i And evaluating the comprehensive capability of the uninterrupted operation personnel of the 10kV distribution network by using a multi-level fuzzy comprehensive evaluation method.
Further, in S4:
the first-level index comprises three evaluation target layers of a knowledge module, a skill module and a skill module;
the secondary indexes include: basic knowledge, professional knowledge and related knowledge belonging to the knowledge module; basic skills, professional skills and related skills belonging to the skill module; the universal ability and the identification ability of the potential module;
the three-level indexes comprise: the basic electrical knowledge, mechanical drawing, engineering mechanics and electric power safety work rules belonging to the basic knowledge; the method comprises the following steps of (1) knowledge related to the non-power-outage operation theory knowledge, non-power-outage operation tools, power distribution equipment, power distribution network knowledge, power distribution overhead line foundation and electric work safety measures belonging to professional knowledge; the related knowledge belongs to the industry standard of related knowledge, computer knowledge, related knowledge of high-altitude operation safety and related knowledge of quality management; the safety instrument belongs to the safety civilization production of basic skills, the use of 'two tickets', the use and maintenance of safety tools and instruments and the use of common instruments and meters; the method belongs to the technical skill of an insulating rod operation method, an insulating glove operation method, a comprehensive operation method and accident handling capacity; computer operation, official document writing, technical skill teaching and team coordination belonging to related skills; the system belongs to the general capability of safe production literacy, occupation literacy, learning capability, team cooperation capability, detail literacy and problem coping capability; the plan execution capacity, the accident prevention capacity, the analysis and judgment capacity and the organization capacity belonging to the identification capacity;
further, the specific steps of calculating the weight value of each evaluation index by the analytic hierarchy process in S5 are as follows:
s51, establishing a hierarchical structure model, wherein the requirements of knowledge, skill and potential of 10kV distribution network uninterrupted operators are equally important and are used as an evaluation target layer, and evaluation needs to be independently carried out in actual evaluation, so that the hierarchical structure model is established in three parts respectively;
s52, constructing pairwise comparison matrix, starting from the 2-level indexes of the three models of knowledge, skill and potential, and adopting the same layer of factors subordinate to (or influencing) each factor of the previous layer "
Figure SMS_1
Scale method "makes one-to-one comparison, and the relative importance degree is marked as a ij And recording the judgment matrix as:
A=(a ij ) b×b
s53, solving the square root of the product of each row element according to the judgment matrix A, and carrying out normalization processing to obtain W i
Figure SMS_2
Wherein i =1,2,3.;
s54, calculating the maximum eigenvalue lambda of the judgment matrix max
Figure SMS_3
S55, in order to avoid unreasonable phenomena such as the fact that the A is slightly more important than the B, the B is slightly more important than the C, but the C is slightly more important than the B in the judgment matrix, consistency check is carried out on the judgment matrix, and if the CI is larger, the deviated consistency is larger; conversely, the smaller the deviation consistency is, the larger the judgment matrix order is, the larger the deviation caused by the judged subjective factor is, that is, the larger the deviation consistency is; otherwise, the deviation consistency is smaller, when CR is less than or equal to 0.1, the judgment matrix is received, otherwise, the judgment matrix is corrected,
Figure SMS_4
Figure SMS_5
wherein, b is the order of the judgment matrix, RI is the random consistency index with the same order as CI, and CR is the consistency ratio.
Further, the specific step of calculating the weight value of each evaluation index by the entropy weight method in S6 is:
s61, constructing an original matrix X = (X) ij ) m×n Wherein m represents the number of elements in the evaluation index set, n represents the number of evaluation experts, and x ij Scoring value of the ith evaluation index by the jth expert after reaching the standard; and i =1,2, ·, m; j =1,2, ·, n;
s62, normalizing the matrix X to obtain a normalized matrix X * =(p ij ) m×n Wherein p is ij Represents the proportion of the j-th evaluation object under the ith index,
Figure SMS_6
s63, calculating the entropy of each evaluation index, wherein the calculation formula is as follows:
Figure SMS_7
s64, calculating the entropy weight w of the ith index i
Figure SMS_8
Further, the S7 includes:
s71, determining combination weight on the basis of an analytic hierarchy process and an entropy weight process by adopting an 'addition' integration method, and combining subjective and objective weights by introducing a preference coefficient alpha to obtain combination weight epsilon i
ε i =αW i +(1-α)w i
S72, in order to ensure the minimum deviation between the combination weight and the two single weights, α =0.5 is selected, which indicates that the ratio of the subjective weight to the objective weight in the combination weight is the same.
Further, the composite weight vector set of evaluation indexes of each level of comprehensive capability of the 10kV distribution network uninterruptible operators, which is established in S8, specifically includes:
the first-level index weight vector is A = (epsilon) 12 ,···,ε n ) (ii) a Weight vector A of the second level index i =(ε i1i2 ,···,ε ik ) (ii) a Weight vector A formed by three-level indexes ik =(ε ik1ik2 ,···,ε ikm ). n is the number of first-level indexes, k is the number of second-level indexes, and m is the number of third-level indexes.
Further, the evaluation of the comprehensive capability of the operator without power outage in the 10kV distribution network by the S9 multi-level fuzzy comprehensive evaluation method specifically comprises:
s91, determining an index evaluation set: selecting a proper comment set to form an evaluation set V = { V ] according to the degree of importance of southern power grid companies to each index of comprehensive capability of 10kV distribution network uninterrupted operators and practical conditions 1 ,v 2 ,···,v i Dividing the evaluation of the comprehensive capability of the operators in the 10kV distribution network without power outage into 5 grades of 'poor', 'normal', 'medium', 'good' and 'excellent', wherein the corresponding scores are respectively corresponding to 1,2,3,4 and 5, namely V = { V = { (V) } 1 ,v 2 ,v 3 ,v 4 ,v 5 } = { poor, normal, medium, good, excellent } = {1,2,3,4,5};
s92, determining the membership degree of the qualitative index: aiming at qualitative indexes and lack of evaluation indexes in evaluation index systemThe accurate quantitative indexes are used for determining an evaluation matrix by a fuzzy statistical method, and in a comprehensive capability index system of uninterrupted power supply operators in a 10kV distribution network, related indexes of skill dimensions can be flexibly expanded by means of field practical operation technology, scene simulation and oral answer and resolution according to specific situations such as evaluation content and an evaluation field; the indexes under the potential dimension can be evaluated according to the methods of semi-structured interviews, leaderless group discussions and psychological tests. The indexes of the two dimensions are difficult to quantify, and an expert scoring mode is adopted for evaluation; if there are C experts to score, for index factor C 1 Has c of 11 Is considered to be "excellent" and has c 12 Is considered "good" and has c 1i Is considered "poor", and
Figure SMS_9
then C 1 The membership degree is as follows:
Figure SMS_10
s93, determining the membership degree of the quantitative index: in a comprehensive capability index system of 10kV distribution network uninterrupted operators, relevant indexes of knowledge dimensions are usually obtained according to a pen test evaluation technology mode, can be quantitatively calculated, and the membership degree of the system is determined by adopting an assignment method; indexes under the knowledge dimension are benefit indexes, the larger the index value is, the stronger the capability is, the membership function of the index of the written test result evaluation and examination is usually expressed by a trapezoidal fuzzy function, and the function expression is as follows:
Figure SMS_11
determining the trapezoidal fuzzy number according to the actual characteristics of the indexes to obtain a trapezoidal fuzzy function, and substituting the actual data of the scores into the trapezoidal fuzzy function to obtain the membership degree of the corresponding quantitative indexes;
s94, determining a single-factor evaluation matrix: all evaluation indexes and evaluation grades form a single-factor evaluation matrix of the lowest level factor
Figure SMS_12
Figure SMS_13
Wherein r is ij Representing the membership value of the ith index to the jth comment, wherein
Figure SMS_14
j=1,2,3,···,l;l=5。
S95, primary fuzzy comprehensive evaluation: a three-level index composite weight matrix obtained by an analytic hierarchy process and an entropy weight process
Figure SMS_15
Performing synthesis calculation with the fuzzy relation matrix R to obtain the final secondary index evaluation result vector->
Figure SMS_16
Figure SMS_17
Wherein, each evaluation index and index weight are fully considered, and a weighted average operator is selected
Figure SMS_18
Namely, it is
Figure SMS_19
Wherein j =1,2, ·, l.
S96, multi-level fuzzy comprehensive evaluation: and obtaining the membership matrix of the evaluation index factor of the previous level step by step according to the evaluation result of the single factor of the low level index. The evaluation result vector of the primary index is as follows:
Figure SMS_20
s97, calculating a final evaluation result vector of the comprehensive ability of the staff as follows:
Figure SMS_21
s98, processing the evaluation result: the comprehensive capability of the operators in the 10kV distribution network without power outage is evaluated by using a weighted average principle, and a grade value v is used i As variables, evaluation result vector B 1 Taking the middle element as a weight, calculating:
Figure SMS_22
wherein c is a undetermined coefficient and represents the neglect degree of the evaluation result, and c is 1 because all indexes in the evaluation system are not ignored.
And S99, comparing the obtained constant C with the corresponding grade value, wherein the grade corresponding to the closer grade value is the comprehensive ability evaluation grade of the employee.
Advantageous effects
Compared with the prior art, the invention provides a method for evaluating the comprehensive capability of the operators in the 10kV distribution network without power outage, which has the following beneficial effects:
1. according to the method for evaluating the comprehensive capability of the uninterrupted operator of the 10kV distribution network, in the construction process of the comprehensive capability evaluation index system of the uninterrupted operator of the 10kV distribution network, the post competence model is combined, the practical application of the competence in the power industry is deepened, and the important value of capability management in the human resource management of enterprises is played. The established index system is beneficial to evaluating the comprehensive capability of the staff.
2. The comprehensive capability evaluation method for the uninterrupted operation personnel of the 10kV distribution network adopts a method of combining an analytic hierarchy process and an entropy weight method for use, wherein the analytic hierarchy process realizes weight coefficient calculation between layers of an index system, the entropy weight method is corrected on the basis of subjective weighting of experts, the comprehensive capability of the uninterrupted operation personnel of the 10kV distribution network is integrally evaluated, and the reliability of an evaluation result is improved.
3. The comprehensive capability evaluation method for the uninterrupted operation personnel of the 10kV distribution network adopts a multi-stage fuzzy comprehensive evaluation method, can scientifically and effectively evaluate the comprehensive capability of the uninterrupted operation personnel of the 10kV distribution network, and in practical application, the establishment of the evaluation system can scientifically and comprehensively evaluate and pertinently improve each capability of the uninterrupted operation personnel of the 10kV distribution network, and can also provide decision support for managers and teachers for accurate training and lean management of the uninterrupted operation.
Drawings
Fig. 1 is a flowchart of a method for evaluating the comprehensive capability of a non-outage operator in a 10kV distribution network in combination with a post competence model according to an embodiment of the present invention.
FIG. 2 is a schematic diagram of a knowledge module capability evaluation index system of 10kV distribution network uninterrupted operation employees;
FIG. 3 is a schematic diagram of a skill module capability evaluation index system of a worker in a 10kV distribution network without power outage;
FIG. 4 is a schematic diagram of a potential module capability evaluation index system of 10kV distribution network uninterrupted power operation employees;
FIG. 5 is a drawing showing
Figure SMS_23
Schematic diagram of meaning of each scale of the scaling method;
FIG. 6 is a diagram illustrating a random consistency index.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
As shown in fig. 1 to 6, the method for evaluating the comprehensive capability of the operator in the uninterruptible power distribution network of 10kV combined with the post competence model comprises the following steps:
s1, collecting post standard files such as training specifications, post specifications and operation instruction of 10kV distribution network uninterrupted operation work types, and specifically comprising the following steps: the method comprises the following steps of effectively combing related duties of a 10kV distribution network uninterrupted operation post, refining the post duties into work tasks and dividing work domains according to power safety work rules of a power grid company, 10kV uninterrupted operation occupational skill level standards, technician training specifications, technician evaluation standards and 10kV distribution network uninterrupted operation specifications;
s2, establishing a mapping relation between the work responsibility and the uninterrupted operation post competence of the 10kV distribution network by combining the post competence model and starting from three aspects of knowledge, skill and potential to form a corresponding summary of the post work and the post competence;
and S3, optimizing, recombining and integrating the ability items, eliminating redundant ability items, combining simple and related ability items, and summarizing to form a knowledge, skill and potential model, wherein the knowledge and skill ability items are optimized by adopting an expert group discussion method (Delphi method), the potential elements are optimized by adopting a behavior event interview method, and the ability elements and the ability items are determined.
The primary index comprises three evaluation target layers of a knowledge module, a skill module and a skill module.
The secondary indexes include: basic knowledge, professional knowledge and related knowledge belonging to the knowledge module; basic skills, professional skills and related skills belonging to the skill module; belongs to the universal ability and the identification ability of the potential module.
The three-level indexes comprise: the basic electrical knowledge, mechanical drawing, engineering mechanics and electric power safety work rules belonging to the basic knowledge; the method comprises the following steps of (1) knowledge related to the non-power-outage operation theory knowledge, non-power-outage operation tools, power distribution equipment, power distribution network knowledge, power distribution overhead line foundation and electric work safety measures belonging to professional knowledge; the related knowledge belongs to the industry standard of related knowledge, computer knowledge, related knowledge of high-altitude operation safety and related knowledge of quality management; the safety instrument belongs to the safety civilization production of basic skills, the use of 'two tickets', the use and maintenance of safety tools and instruments and the use of common instruments and meters; the method belongs to the technical skill of an insulating rod operation method, an insulating glove operation method, a comprehensive operation method and accident handling capacity; computer operation, official writing, technical skill teaching and team coordination belonging to related skills; the general competence of safe production literacy, occupational literacy, learning capacity, team cooperation capacity, detail literacy and problem coping capacity; the system comprises a plan execution capacity, an accident prevention capacity, an analysis and judgment capacity and an organization capacity which belong to the identification capacity.
S4, constructing a staff ability evaluation index set, wherein an index set formed by the primary index set is T = { T = (the number of the primary indexes is one) } 1 ,T 2 ,···,T n }; the set formed by each secondary index is defined as T i ={T i1 ,T i2 ,···,T ik }; the set formed by the indexes of three levels is defined as T ik ={T ik1 ,T ik2 ,···,T ikm N represents the number of primary indexes, k represents the number of secondary indexes, and m represents the number of tertiary indexes;
s5, calculating the weight value W of each evaluation index in the evaluation index set by an analytic hierarchy process i The analytic hierarchy process combines qualitative and quantitative methods, can process a plurality of actual problems which can not be started by the traditional optimization technology, has wide application range, and simultaneously, the method enables decision makers and decision analyzers to communicate with each other, and even the decision makers can directly use the method, thereby increasing the effectiveness of decision making; mainly comprises the following steps:
s51, establishing a hierarchical structure model, wherein the requirements of knowledge, skill and potential of 10kV distribution network uninterrupted operators are equally important and are used as an evaluation target layer, and evaluation needs to be independently carried out in actual evaluation, so that the hierarchical structure model is established in three parts respectively;
s52, constructing pairwise comparison matrix, starting from the 2-level indexes of the three models of knowledge, skill and potential, and adopting the same layer of factors subordinate to (or influencing) each factor of the previous layer "
Figure SMS_24
Scale method "makes one-to-one comparison, and the relative importance degree is marked as a ij The judgment matrix is denoted as A = (a) ij ) b×b ;“/>
Figure SMS_25
Scaling methods "the meaning of the scales of each stage is shown in figure 2.
S53, solving the square root of the product of each row element of the matrix according to the judgment matrix A, and carrying out normalization processing to obtain W i Is composed of
Figure SMS_26
S54, calculating the maximum eigenvalue lambda of the judgment matrix max Is composed of
Figure SMS_27
S55, judging the consistency of the matrix:
Figure SMS_28
Figure SMS_29
b is the order of the judgment matrix, RI is a random consistency index with the same order as CI, and CR is a consistency ratio; in general, the larger the CI, the greater the consistency of the deviation; on the contrary, the deviation consistency is smaller, if the order of the judgment matrix is larger, the deviation caused by the subjective factor of the judgment is larger, namely the deviation consistency is larger; conversely, the deviation consistency is smaller; when CR is less than or equal to 0.1, receiving a judgment matrix, otherwise, correcting the judgment matrix;
s6, calculating the weight value w of each evaluation index in the evaluation index set by an entropy weight method i The entropy weight method weighting is a method for determining weight according to the size of information quantity provided by each evaluation index, the larger the variation degree of the index value of an index is, the larger the information quantity is, the smaller the information entropy of the index is, and the function of the index isThe larger the weight is, the weight is obtained by directly calculating sample data, the influence of human subjective factors is avoided, and the requirement of data analysis is relatively met;
s61, constructing an original matrix X = (X) ij ) m×n Wherein m represents the number of elements in the evaluation index set, n represents the number of evaluation experts, and x ij Scoring value of the ith evaluation index by the jth expert after reaching the standard; and i =1,2, ·, m; j =1,2, ·, n;
s62, carrying out normalization processing on the matrix X to obtain a normalized matrix X * =(p ij ) m×n Wherein p is ij Represents the proportion of the j-th evaluation object under the ith index,
Figure SMS_30
s63, calculating the entropy of each evaluation index, wherein the calculation formula is as follows:
Figure SMS_31
s64, calculating the entropy weight w of the ith index i
Figure SMS_32
S7, obtaining a weight W by adopting a combined weighting method, namely an analytic hierarchy process i And weight w of entropy weight method i Calculating to obtain the final composite weight epsilon of each evaluation index i (ii) a The method adopts an 'addition' integration method to determine the combination weight on the basis of an analytic hierarchy process and an entropy weight method, introduces a preference coefficient alpha to combine the subjective and objective weights to obtain a combination weight epsilon i Is composed of
ε i =αW i +(1-α)w i
Wherein, in order to ensure the minimum deviation between the combination weight and the two single weights, α =0.5 is selected, which indicates that the ratio of the subjective weight and the objective weight in the combination weight is the same.
S8, establishing a composite weight vector set of all levels of evaluation indexes of the comprehensive capability of the 10kV distribution network uninterrupted operators, wherein the weight vector of the first level of indexes is A = (epsilon) 12 ,···,ε n ) (ii) a Weight vector A of the second level index i =(ε i1i2 ,···,ε ik ) (ii) a Weight vector A formed by three-level indexes ik =(ε ik1ik2 ,···,ε ikm ). n is the number of first-level indexes, k is the number of second-level indexes, and m is the number of third-level indexes.
S9, according to the final weight epsilon i Evaluating the comprehensive capability of the operators in the 10kV distribution network without power failure by using a multi-level fuzzy comprehensive evaluation method; the fuzzy comprehensive evaluation method is a comprehensive evaluation method developed from fuzzy mathematics, and is characterized in that according to the fuzzy relation synthesis principle, some index factors with unclear boundaries and difficult quantification are quantitatively processed, and then a total evaluation is performed on a research object; the specific implementation steps are as follows:
s91, determining an index evaluation set: selecting a proper comment set to form an evaluation set V = { V ] according to the degree of importance of southern power grid companies to each index of comprehensive capability of 10kV distribution network uninterrupted operators and practical conditions 1 ,v 2 ,···,v i Dividing the evaluation of the comprehensive capability of the operators in the 10kV distribution network without power outage into 5 grades of 'poor', 'normal', 'medium', 'good' and 'excellent', wherein the corresponding scores are respectively corresponding to 1,2,3,4 and 5, namely V = { V = { (V) } 1 ,v 2 ,v 3 ,v 4 ,v 5 } = { poor, normal, medium, good, excellent } = {1,2,3,4,5};
s92, determining the membership degree of the qualitative index: an evaluation matrix is determined by applying a fuzzy statistical method aiming at qualitative indexes and quantitative indexes lacking in evaluation standards in an evaluation index system, and in a comprehensive capability index system of 10kV distribution network uninterrupted operators, related indexes of skill dimensions can be flexibly expanded through a field practical operation technology, scene simulation, oral answer and resolution mode according to specific situations such as evaluation content, evaluation field and the like; indexes under the potential dimension can be discussed according to semi-structured interviews, leaderless groups andand (4) assessing a psychological test method. The indexes of the two dimensions are difficult to quantify, and an expert scoring mode is adopted for evaluation; if there are C experts to score, for index factor C 1 Has c of 11 Is considered to be "excellent" and has c 12 Human being considered "good", having c 1i Is considered "poor" and
Figure SMS_33
then C 1 The membership degree is as follows:
Figure SMS_34
s93, determining the membership degree of the quantitative index: in a comprehensive capability index system of 10kV distribution network uninterrupted operators, relevant indexes of knowledge dimensions are usually obtained according to a pen test evaluation technology mode, can be quantitatively calculated, and the membership degree of the system is determined by adopting an assignment method; indexes under the knowledge dimension are benefit indexes, the larger the index value is, the stronger the capability is, the membership function of the index of the written test result evaluation and examination is usually expressed by a trapezoidal fuzzy function, and the function expression is as follows:
Figure SMS_35
and (a, b, c and d) are trapezoidal fuzzy numbers, the trapezoidal fuzzy numbers are determined according to the actual characteristics of the indexes to obtain a trapezoidal fuzzy function, and then the actual data of the scores are substituted into the trapezoidal fuzzy function to obtain the membership degree of the corresponding quantitative indexes.
S94, determining a single-factor evaluation matrix: all evaluation indexes and evaluation grades form a single-factor evaluation matrix of the lowest level factor
Figure SMS_36
Figure SMS_37
Wherein r is ij Representing the affiliation of the ith index to the jth commentThe degree of attribute is taken as value, wherein
Figure SMS_38
j=1,2,3,···,l;l=5。
S95, primary fuzzy comprehensive evaluation: a three-level index composite weight matrix obtained by an analytic hierarchy process and an entropy weight process
Figure SMS_39
Performing synthesis calculation with the fuzzy relation matrix R to obtain a final evaluation result vector for the secondary index->
Figure SMS_40
Figure SMS_41
Wherein, each evaluation index and index weight are fully considered, and a weighted average operator is selected
Figure SMS_42
Namely, it is
Figure SMS_43
Wherein j =1,2, ·, l.
S96, multi-level fuzzy comprehensive evaluation: obtaining a membership matrix of the evaluation of the factor of the evaluation index of the previous level step by step according to the evaluation result of the single factor of the low level index; the evaluation result vector of the primary index is as follows:
Figure SMS_44
s97, calculating a final evaluation result vector of the comprehensive ability of the staff as follows:
Figure SMS_45
s98, processing the evaluation result: use the weighted average principle not to 10kV distribution networkEvaluating the comprehensive capacity of the power failure operators by using a grade value v i As variables, evaluation result vector B 1 Taking the middle element as a weight, calculating:
Figure SMS_46
/>
wherein c is a undetermined coefficient and represents the neglect degree of the evaluation result, and c is 1 because all indexes in the evaluation system are not ignored.
And S99, comparing the obtained constant C with the corresponding grade value, wherein the grade corresponding to the closer grade value is the comprehensive ability evaluation grade of the employee.
As a specific optimization scheme of this embodiment: a comprehensive capability evaluation index system of the uninterrupted operator of the 10kV distribution network is constructed by combining the post competence model;
an analytic hierarchy process and an entropy weight process are combined for use, wherein the analytic hierarchy process realizes weight coefficient calculation between layers of an index system, the entropy weight process is corrected on the basis of subjective weighting of experts, and the comprehensive capability of operators without power failure in a 10kV distribution network is integrally evaluated;
the comprehensive capability of the operators without power failure in the 10kV distribution network is evaluated by adopting a multistage fuzzy comprehensive evaluation method, and five grades of 'excellent', 'good', 'medium', 'common' and 'poor' of the comprehensive capability of the operators without power failure in the 10kV distribution network are evaluated and divided.
The invention has the beneficial effects that:
1. according to the method for evaluating the comprehensive capability of the uninterrupted operation personnel of the 10kV distribution network, in the construction process of the comprehensive capability evaluation index system of the uninterrupted operation personnel of the 10kV distribution network, the post competence model is combined, the practical application of the competence in the power industry is deepened, and the important value of capability management in the human resource management of enterprises is exerted. The established index system is beneficial to evaluating the comprehensive capability of the staff.
2. The comprehensive capability evaluation method for the uninterrupted operation personnel of the 10kV distribution network adopts a method of combining an analytic hierarchy process and an entropy weight method for use, wherein the analytic hierarchy process realizes weight coefficient calculation between layers of an index system, the entropy weight method is corrected on the basis of subjective weighting of experts, the comprehensive capability of the uninterrupted operation personnel of the 10kV distribution network is integrally evaluated, and the reliability of an evaluation result is improved.
3. The comprehensive capability evaluation method for the uninterrupted operation personnel of the 10kV distribution network adopts a multi-stage fuzzy comprehensive evaluation method, can scientifically and effectively evaluate the comprehensive capability of the uninterrupted operation personnel of the 10kV distribution network, and in practical application, the establishment of the evaluation system can scientifically and comprehensively evaluate and pertinently improve each capability of the uninterrupted operation personnel of the 10kV distribution network, and can also provide decision support for managers and teachers for accurate training and lean management of the uninterrupted operation.
Although embodiments of the present invention have been shown and described, it will be appreciated by those skilled in the art that changes, modifications, substitutions and alterations can be made in these embodiments without departing from the principles and spirit of the invention, the scope of which is defined in the appended claims and their equivalents.

Claims (10)

1. A method for evaluating the comprehensive capability of a worker in a 10kV distribution network without power outage is characterized by comprising the following steps:
s1, collecting training specifications, post specifications and post standard files of a 10kV distribution network uninterrupted operation work type, effectively combing relevant duties of employees, refining the post responsibilities into work tasks, and dividing work domains;
s2, establishing a mapping relation between work responsibility and the uninterrupted operation post competence of the 10kV distribution network by combining the post competence model and starting from three aspects of knowledge, skill and potential to form a corresponding summary of post work and competence;
s3, optimizing, recombining and integrating the ability items, eliminating redundant ability items, combining simple and related ability items, and summarizing to form a knowledge, skill and potential model;
s4, constructing a personnel ability evaluation index set;
s5, calculating the weight value W of each evaluation index in the evaluation index set by adopting an analytic hierarchy process i
S6, calculating the weight value w of each evaluation index in the evaluation index set by adopting an entropy weight method i
S7, obtaining a weight W by adopting a combined weighting method, namely an analytic hierarchy process i And weight w of entropy weight method i And calculating to obtain the final composite weight epsilon of each evaluation index i
S8, establishing a composite weight vector set of all levels of evaluation indexes of the comprehensive capability of the uninterrupted operator of the 10kV distribution network;
s9, according to the final weight epsilon i And evaluating the comprehensive capability of the operator without power failure in the 10kV distribution network by using a multi-level fuzzy comprehensive evaluation method.
2. The method for evaluating the comprehensive capability of the operators without power outage in the 10kV distribution network, according to claim 1, is characterized in that the specific steps of the step S1 are as follows:
s11, electric power safety work rules of a power grid company, 10kV uninterrupted power operation occupational skill level standards, skill personnel training standards, skill personnel evaluation standards and 10kV distribution network uninterrupted power operation standards;
s12, effectively combing the related duties of the 10kV distribution network uninterrupted operation post, refining the post responsibilities into a work task, and dividing a work domain.
3. The method for evaluating the comprehensive capability of the operators without power outage in the 10kV distribution network, according to claim 1, is characterized in that the specific steps of the step S3 are as follows:
the knowledge and skill ability items are optimized by adopting an expert group discussion method, the potential elements are optimized by adopting a behavior event interview method, and the ability elements and the ability items are determined;
the first-level index comprises three evaluation target layers of a knowledge module, a skill module and a skill module;
the secondary indexes include: basic knowledge, professional knowledge and related knowledge belonging to the knowledge module; basic skills, professional skills and related skills belonging to the skill module; the universal ability and the identification ability of the module belonging to the potential;
the three-level indexes comprise: the method belongs to the basic electrical engineering knowledge, mechanical drawing, engineering mechanics and electric power safety work rules of basic knowledge.
4. The method for evaluating the comprehensive capability of the operators without power outage in the 10kV distribution network, according to claim 1, is characterized in that the specific steps of the step S4 are as follows:
s41, constructing a staff capability evaluation index set, wherein an index set formed by the primary index set is T = { T = { (T) 1 ,T 2 ,···,T n }; the set formed by all the secondary indexes is defined as T i ={T i1 ,T i2 ,···,T ik };
S42, defining a set formed by all three levels of indexes as T ik ={T ik1 ,T ik2 ,···,T ikm N represents the number of primary indexes, k represents the number of secondary indexes, and m represents the number of tertiary indexes.
5. The method for evaluating the comprehensive capability of the operators without power outage in the 10kV distribution network, according to claim 1, is characterized in that the specific steps of the step S5 are as follows:
s51, establishing a hierarchical structure model, wherein the requirements of knowledge, skill and potential of operators with no power failure in a 10kV distribution network are equally important and are used as an evaluation target layer, and evaluation needs to be independently carried out in actual evaluation, so that the hierarchical structure model is established in three parts respectively;
s52, constructing pairwise comparison matrix, starting from 2-level indexes of the three models of knowledge, skill and potential, and adopting the same layer of factors subordinate to each factor of the previous layer "
Figure FDA0003857809300000035
Scale method "makes a one-to-one comparison, the relative importance degree of which is marked as a ij The judgment matrix is recorded as A =(a ij ) b×b
S53, solving the square root of the product of the elements of each row of the matrix according to the judgment matrix A, and carrying out normalization processing to obtain W i Is composed of
Figure FDA0003857809300000031
S54, calculating the maximum eigenvalue lambda of the judgment matrix max Is composed of
Figure FDA0003857809300000032
S55, judging the consistency of the matrix:
Figure FDA0003857809300000033
Figure FDA0003857809300000034
b is the order of the judgment matrix, RI is a random consistency index with the same order as CI, CR is a consistency ratio, and generally speaking, the larger CI is, the larger the deviation consistency is; on the contrary, the deviation consistency is smaller, if the order of the judgment matrix is larger, the deviation caused by the subjective factor of the judgment is larger, namely the deviation consistency is larger; otherwise, the deviation consistency is smaller, when CR is less than or equal to 0.1, the judgment matrix is received, otherwise, the judgment matrix is corrected.
6. The method for evaluating the comprehensive capability of the operators without power outage in the 10kV distribution network, according to claim 1, is characterized in that the specific steps of the step S6 are as follows:
s61, constructing an original matrix X = (X) ij ) m×n Wherein m represents the number of elements in the evaluation index set, n represents the number of evaluation experts, and x ij Scoring value of the ith evaluation index by the jth expert after reaching the standard; and i =1,2, ·, m; j =1,2, ·, n;
s62, carrying out normalization processing on the matrix X to obtain a normalized matrix X * =(p ij ) m×n Wherein p is ij Represents the proportion of the jth evaluation object under the ith index:
Figure FDA0003857809300000041
s63, calculating the entropy of each evaluation index, wherein the calculation formula is as follows:
Figure FDA0003857809300000042
s64, calculating the entropy weight w of the ith index i
Figure FDA0003857809300000043
7. The method for evaluating the comprehensive capability of the operators without power outage in the 10kV distribution network, according to claim 1, is characterized in that the specific steps of the step S7 are as follows:
determining combination weight on the basis of an analytic hierarchy process and an entropy weight process by adopting an 'addition' integration method, and introducing a preference coefficient alpha to combine the subjective weight and the objective weight to obtain the combination weight epsilon i Comprises the following steps:
ε i =αW i +(1-α)w i
wherein, in order to ensure the minimum deviation between the combination weight and the two single weights, α =0.5 is selected, which indicates that the ratio of the subjective weight and the objective weight in the combination weight is the same.
8. The method for evaluating the comprehensive capability of the operators without power outage in the 10kV distribution network, according to claim 1, is characterized in that the specific steps in step S8 are as follows:
establishing a composite weight vector set of all levels of evaluation indexes of the comprehensive capability of the uninterrupted operation personnel of the 10kV distribution network, wherein the weight vector of the first level index is A = (epsilon) 12 ,···,ε n ) (ii) a Weight vector A of the secondary index i =(ε i1i2 ,···,ε ik ) (ii) a Weight vector A formed by three-level indexes ik =(ε ik1ik2 ,···,ε ikm ) N is the number of first-level indexes, k is the number of second-level indexes, and m is the number of third-level indexes.
9. The method for evaluating the comprehensive capability of the operators without power outage in the 10kV distribution network, according to claim 1, is characterized in that the specific steps of the step S9 are as follows:
s91, determining an index evaluation set;
s92, determining the membership degree of the qualitative index;
s93, determining the membership degree of the quantitative index;
s94, determining a single-factor evaluation matrix;
s95, primary fuzzy comprehensive evaluation;
s96, multi-level fuzzy comprehensive evaluation;
s97, calculating a final evaluation result vector of the comprehensive ability of the staff;
s98, processing the evaluation result;
and S99, comparing the obtained constant C with the corresponding grade value, wherein the grade corresponding to the closer grade value is the comprehensive ability evaluation grade of the employee.
10. The method for evaluating the comprehensive capability of the operators without power outage in the 10kV distribution network according to claim 1, which is characterized by comprising the following steps:
a comprehensive capability evaluation index system of the uninterrupted operator of the 10kV distribution network is constructed by combining the post competence model;
an analytic hierarchy process and an entropy weight process are combined for use, wherein the analytic hierarchy process realizes weight coefficient calculation between layers of an index system, the entropy weight process is corrected on the basis of subjective weighting of experts, and the comprehensive capability of operators without power failure in a 10kV distribution network is integrally evaluated;
the comprehensive capability of the operators without power failure in the 10kV distribution network is evaluated by adopting a multistage fuzzy comprehensive evaluation method, and five grades of 'excellent', 'good', 'medium', 'common' and 'poor' of the comprehensive capability of the operators without power failure in the 10kV distribution network are evaluated and divided.
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CN116485211A (en) * 2023-06-16 2023-07-25 中国石油大学(华东) Multi-criterion decision method for evaluating comprehensive performance of battery stack
CN116485211B (en) * 2023-06-16 2023-09-05 中国石油大学(华东) Multi-criterion decision method for evaluating comprehensive performance of battery stack

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