CN114266478A - Power transformation operation standardization comprehensive evaluation method and related device - Google Patents
Power transformation operation standardization comprehensive evaluation method and related device Download PDFInfo
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Abstract
The application discloses a power transformation operation standardization comprehensive evaluation method and a related device, wherein the method comprises the following steps: establishing an index set of the standardized comprehensive evaluation of the power transformation operation; selecting an input index and an output index of a preset processing model from the index set; carrying out quantitative processing on qualitative data in the input index and the output index by a Delphi expert opinion evaluation method; and calculating to obtain the rank of the normalized evaluation result of the substation operation team group by taking the input index as an input vector of the preset processing model decision unit and taking the output index as an output vector of the preset processing model decision unit, wherein the preset processing model is an improved DEA model. The technical problem that the power transformation operation standardized comprehensive evaluation is inaccurate due to the fact that the prior art has large subjectivity and contingency and the evaluation index coverage range is not wide is solved.
Description
Technical Field
The application relates to the technical field of electric power, in particular to a power transformation operation standardization comprehensive evaluation method and a related device.
Background
The substation operation team is a basic team of the power transformation operation major of the power system and is directly responsible for work such as electrical operation, equipment inspection, equipment maintenance, construction management and control, data management, ledger management, class management and the like in a substation. The standardized management of the transformer substation operation team is a scientific way for maintaining the safe, reasonable and efficient operation of the transformer substation, the standardized management of the transformer substation operation team is strengthened, the management work level is improved, the work quality of the transformer substation operation team can be ensured, the transformer operation management level is improved, and the management quality of a power system is improved. The standardized evaluation of the power transformation operation is an important way for promoting the standardized management of the power transformation operation team. By 'evaluation promotion progress', the daily work quality, the work efficiency and the safety control level of the substation operation team are improved.
At present, the standardized evaluation of the power transformation operation is mainly implemented by checking the daily work content of teams and groups through evaluators, such as: work tickets, operation tickets, shift logs, running data, construction sites and the like. The evaluation method is an uncertain, complex, multi-target and nonlinear evaluation process, meanwhile, the coverage range of evaluation indexes of the operating standardized evaluation method is not wide, the feasibility of relevant standards is not strong, and subjective evaluation performed according to abundant experience of experts often lacks theoretical basis and a large amount of qualitative and quantitative analysis, so that the standardized evaluation work has subjectivity and contingency.
Disclosure of Invention
The application provides a power transformation operation normalized comprehensive evaluation method and a related device, which are used for solving the technical problem that power transformation operation normalized comprehensive evaluation is inaccurate due to the fact that the prior art has large subjectivity and contingency and the evaluation index coverage range is not wide.
In view of this, the first aspect of the present application provides a method for normalized comprehensive evaluation of power transformation operation, where the method includes:
establishing an index set for normalized comprehensive evaluation of power transformation operation, wherein the index classification of the index set comprises the following steps: duty management, equipment differentiation operation and maintenance, electrical operation management, field work management, data and account management, health ring management, team management and standardized investment cost;
selecting an input index and an output index of a preset processing model from the index set;
carrying out quantitative processing on qualitative data in the input index and the output index by a Delphi expert opinion evaluation method;
and calculating to obtain the rank of the normalized evaluation result of the substation operation team group by taking the input index as an input vector of a preset processing model decision unit and taking the output index as an output vector of the preset processing model decision unit, wherein the preset processing model is an improved DEA model.
Optionally, the expression of the modified DEA model is:
in the formula, theta is an over-efficiency value;
e＝[1,1,…,1]T,e∈Rs；xjan m-dimensional input vector of the jth decision unit; y isjAn s-dimensional output vector of the jth decision unit; x is the number of0And y0The input vector and the output vector of the j decision unit to be evaluated are respectively; epsilon is the infinitesimal quantity of non-Archimedes, n is the number of decision units, and each decision unit has m inputs and s outputs.
Optionally, the quantitative processing of the qualitative data in the input index and the qualitative data in the output index by the delphie expert opinion evaluation method specifically includes:
and carrying out anonymous evaluation on the qualitative data, assigning values to the qualitative data according to a preset index importance level and a preset quantity value, and taking a weighted average value according to the number of experts and the importance given by each expert.
Optionally, the index classification further includes: the bonus award.
Optionally, the duty management includes: the method comprises the steps of managing the number of transformer substations, personnel and post configuration, talent equivalent, duty mode, faults and abnormity.
Optionally, the differentiated operation and maintenance of the device includes: equipment health degree, equipment importance degree, equipment risk assessment and grading, policy making, policy execution and equipment operation and maintenance performance evaluation.
Optionally, the electrical operation management comprises: electric operation qualification, operation ticket management, anti-misoperation locking system and electric operation.
The second aspect of the present application provides a power transformation operation standardization comprehensive evaluation system, the system includes:
the establishing unit is used for establishing an index set for the standardized comprehensive evaluation of the power transformation operation, and the index classification of the index set comprises the following steps: duty management, equipment differentiation operation and maintenance, electrical operation management, field work management, data and account management, health ring management, team management and standardized investment cost;
the selection unit is used for selecting the input indexes and the output indexes of the preset processing model from the index set;
the processing unit is used for carrying out quantitative processing on qualitative data in the input index and the output index through a Delphi expert opinion evaluation method;
the calculation unit is used for calculating and obtaining the rank of the standardized evaluation result of the substation operation team by taking the input index as an input vector of the preset processing model decision unit and taking the output index as an output vector of the preset processing model decision unit, wherein the preset processing model is an improved DEA model
The third aspect of the present application provides a power transformation operation normalization comprehensive evaluation device, where the device includes a processor and a memory:
the memory is used for storing program codes and transmitting the program codes to the processor;
the processor is configured to execute the steps of the power transformation operation normalized comprehensive evaluation method according to the first aspect, according to instructions in the program code.
A fourth aspect of the present application provides a computer-readable storage medium, where the computer-readable storage medium is configured to store a program code, and the program code is configured to execute the transformer operation normalized comprehensive evaluation method according to the first aspect.
According to the technical scheme, the method has the following advantages:
the application provides a power transformation operation standardization comprehensive evaluation method, which comprises the following steps: establishing an index set for the standardized comprehensive evaluation of the power transformation operation, wherein the index classification of the index set comprises the following steps: duty management, equipment differentiation operation and maintenance, electrical operation management, field work management, data and account management, health ring management, team management and standardized investment cost; selecting an input index and an output index of a preset processing model from the index set; carrying out quantitative processing on qualitative data in the input index and the output index by a Delphi expert opinion evaluation method; and calculating to obtain the rank of the normalized evaluation result of the substation operation team group by taking the input index as an input vector of the preset processing model decision unit and taking the output index as an output vector of the preset processing model decision unit, wherein the preset processing model is an improved DEA model.
Compared with the prior art, the evaluation method comprises the following steps:
1. the established power transformation operation standardized comprehensive evaluation index set can scientifically and completely comprehensively reflect various attribute elements related to daily work of the team and team;
2. qualitative data with concentrated indexes are reasonably and skillfully processed by using a Delphi method, the one-sidedness caused by personal preference is effectively reduced, and the reliability of the qualitative data is improved;
3. the improved DEA model takes the weight of each input and output of the decision unit as a variable, and is evaluated from the perspective most beneficial to the decision unit, so that the problem of artificially determining the weight is avoided; the evaluation result of the decision unit is irrelevant to the dimension of each input and output data, so that a plurality of subjective factors are eliminated, and the method has strong objectivity; in addition, the improved DEA model considers that a certain relation exists between input and output, each input is related to one or more outputs, and in the actual use process, a relational expression between the input and the output does not need to be determined, so that the power transformation operation standardized comprehensive evaluation method using the improved DEA model can enable the power transformation operation team standardized evaluation to be more objective.
Drawings
Fig. 1 is a schematic flow chart of an embodiment of a power transformation operation normalized comprehensive evaluation method provided in an embodiment of the present application;
fig. 2 is a schematic structural diagram of an embodiment of a power transformation operation normalization comprehensive evaluation system provided in the embodiment of the present application.
Detailed Description
In order to make the technical solutions of the present application better understood, the technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the drawings in the embodiments of the present application, and it is obvious that the described embodiments are only a part of the embodiments of the present application, 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 application.
Interpretation of terms:
data envelope Analysis (DEA for short) mainly adopts a mathematical programming method, takes a relative efficiency concept as a basis, utilizes Data sample Data, takes each evaluated unit as a decision unit (DMU), and then forms an evaluation group by a plurality of DMUs, and adopts a comprehensive Analysis method of input and output ratios.
The Decision unit (Decision Making Units, DMU for short) is a production process that puts a certain number of production elements into a production process through a series of decisions and produces a certain number of products. Different DMUs in the same system should have the following three features: the method has the same task and target; ② has the same market environment; ③ have the same input and output.
Referring to fig. 1, a power transformation operation normalization comprehensive evaluation method provided in an embodiment of the present application includes:
it should be noted that, when each substation operation team and team standardized comprehensive evaluation is performed, attribute elements related to daily work of teams and teams must be comprehensively reflected, the attribute elements include an electrical operation ticket, a station work ticket, equipment inspection, regular maintenance, construction supervision, a team work meeting, performance management, training management, vehicle management, staff householders, tool and instrument management and the like, which are complicated and cannot be directly represented by specific data. According to the principle that the evaluation indexes are as comprehensive as possible, are not overlapped and are easy to obtain, a power transformation operation standardized comprehensive evaluation index set is proposed in the embodiment of the application; the index classification of the index set includes: the management on duty, the operation of equipment differentiation maintenance, electric operation management, field work management, data and standing book management, health ring management, team management, normalized input cost further still include: the bonus award.
Wherein:
the duty management comprises the following steps: the method comprises the steps of managing the number of transformer substations, personnel and post configuration, talent equivalent, duty mode, faults and abnormity.
The equipment differentiation operation and maintenance comprises the following steps: equipment health degree, equipment importance degree, equipment risk assessment and grading, policy making, policy execution and equipment operation and maintenance performance evaluation.
The electrical operation management includes: electric operation qualification, operation ticket management, anti-misoperation locking system and electric operation.
The field work management comprises the following steps: construction qualification management, safety technology bottom of charge, work ticket execution, typical work ticket management and work ticket statistical analysis.
The data and standing book management comprises the following steps: one book, drawing data, common forms, rule system and record report.
The health ring management comprises the following steps: identification and marking, fire control management, ventilation and lighting, building structures, small animal prevention facilities, positioning management and energy-saving management.
The team management comprises the following steps: the system comprises the following components of safety production target management, plan management, training management, meeting management, performance management, staff and housekeeping construction, equipment owner control, vehicle management and tool and instrument management.
The normalized input cost comprises: capital investment, manpower investment and time investment.
102, selecting input indexes and output indexes of a preset processing model from an index set;
it should be noted that, in the embodiment of the present application, an index "smaller is better" in the comprehensive evaluation index set is selected as an input index of the model, and an index "larger is better" is selected as an output index of the model, so that 4 input indexes and 41 output indexes are obtained.
Wherein the input indicators are: fault and abnormality, capital investment, manpower investment and time investment.
The output indicators are: the method comprises the steps of managing the number of substations, personnel and post configuration, talent equivalent, duty mode, equipment health, equipment importance, equipment risk assessment and grading, making strategies, strategy execution, equipment operation and maintenance performance evaluation, electrical operation qualification, operation ticket management, an anti-misoperation locking system, electrical operation, construction qualification management, safety technology return, work ticket execution, typical work ticket management, work ticket statistical analysis, one-object book, drawing data, common forms, regulation system, record report, marking, fire protection management, ventilation and lighting, building structures, small animal prevention measures, positioning management, energy-saving management, safe production target management, plan management, training management, conference management, performance management, worker and small house construction, equipment master control, vehicle management, tool management, reward and branch item.
Although these input and output indexes are not true input and output indexes, and they do not satisfy strict linear relationship, the selection of these indexes still has positive significance from the viewpoint of project efficiency and evaluation.
103, carrying out quantitative processing on qualitative data in the input index and the output index through a Delphi expert opinion evaluation method;
it should be noted that the comprehensive evaluation index set of the embodiment of the present application includes 2 types of quantitative data and qualitative data, and their processing manners are different from each other.
(1) And (5) processing quantitative data.
The quantitative data objectively provides specific numerical values to represent indexes of corresponding attribute elements of the quantitative data according to scoring standards by evaluation experts, such as capital investment, the number of administered substations, talent equivalent and the like in a comprehensive decision index set in the embodiment of the application. Since the evaluation result of the DEA model on the decision unit is independent of the dimension of each input/output data, it is not necessary to process the above-described types of data, that is, to retain the original value.
(2) And (5) processing qualitative data.
The qualitative data is mostly fuzzy data, the quantitative data is not easy to be quantized through specific numerical values, and the functions of each expert can be fully exerted through a Delphi expert opinion evaluation method, so that the one-sidedness caused by personal preference is effectively reduced, the reliability of the qualitative data is improved, and meanwhile, the divergence of opinions among the experts can be expressed. The data of the type is processed by adopting a Delphi method, firstly, anonymous comments are carried out on preliminarily drawn comprehensive decision indexes, modification opinions are provided, the importance of each index is given according to the number of the importance levels and the magnitude of the indexes specified in advance, and then, a weighted average value, namely a quantitative value of the qualitative index, is taken according to the number of experts and the importance given by each expert.
In the embodiment of the application, the importance of the qualitative indexes is divided into 11 grades, the range of the quantity value is 0-1.0, and the quantization degree of the qualitative data is shown in table 1. It should be noted that the data requirement in the DEA model is greater than 0.
TABLE 1 quantification of qualitative data
And step 104, taking the input index as an input vector of a preset processing model decision unit, taking the output index as an output vector of the preset processing model decision unit, and calculating to obtain the rank of the power transformation operation team group standardized evaluation result, wherein the preset processing model is an improved DEA model.
It should be noted that, the data envelope method (DEA for short), the data envelope analysis is a new field of cross research of operations research, management science and mathematical economy, and it is an evaluation method based on the relative efficiency evaluation concept and using convex analysis and linear programming as tools, and it can evaluate and order the relative effectiveness of the same type of multi-input, multi-output complex DMU.
1、C2Model R:
C2the R model is the most widely used DEA model, and its optimization model can be expressed as:
in formula (1): n is the number of DMUs; each decision unit has m inputs and s outputs, where xj＝(x1j,x2j，…，xmj)T，xijInput of the i-th input, y, for the j-th DMUj＝(y1j，y2j，…，ysj)T，yrj(ii) throughput for the r output of the jth DMU; input weight v ═ v (v)1，v2，…，vm)TThe output weight u ═ u (u)1，u2，…，us)T。
By applying dual programming and introducing relaxation variable s, residual variable s + and non-Archimedes infinite amount, the equation (1) can be converted into linear programming problem by performing Chames-Cooper transformation on the equation (1), that is, the equation (1) can be converted into linear programming problem
In the formula (2), theta is a super efficiency value;
e＝[1，1，…，1]T，e∈Rs.xjan m-dimensional input vector of the jth decision unit;yjan s-dimensional output vector of the jth decision unit; x is the number of0And y0 are the input and output vectors of the j decision unit being evaluated, respectively; epsilon is infinite small quantity of non-Archimedes, n is the number of decision units, each decision unit has m inputs and s outputs, and the value can be 10 in practical application-5。
By C2The R model can judge whether the DEA of the jth decision unit is effective or not, namely if the optimal solution lambda of the model is0、s-0，s+0、θ0Satisfies the following conditions:
if theta0＝1，s-00 and s+0If the result is 0, the jth decision unit is DEA valid;
if theta0＝1，s-0Not equal to 0 or s+0Not equal to 0, the jth decision unit is DEA weak valid;
③ if theta0If the result is less than 1, the jth decision unit is DEA which is invalid.
2. SE-DEA model:
C2the R model is only suitable for judging whether the DEA of the jth decision unit is effective or not, but in practical application, C is adopted2When the R model evaluates a plurality of decision units, a large number of cases, even all of the decision units, are likely to be valid, and the efficiency of the evaluated decision units cannot be fully evaluated and sorted. Therefore, the application provides an improved DEA model, namely a Super Efficiency DEA model (SE-DEA), and sequences the decision units, thereby better solving the sequencing problem of the relative effective units. The expression of the SE-DEA model is as follows:
the variables in the formula (3) have the same meanings as those in the formula (2), and the main improvement point of the SE-DEA model is that when the jth decision unit is evaluated, the evaluation unit is compared with linear combinations of all other evaluation units, so that the input and output of the jth decision unit are replaced by the linear combinations input and output by all other decision units, and the jth decision unit is excluded.
In fact, in this model, only when the evaluation calculation of the effective unit is performed, the constraint condition that the efficiency index is less than 1 is removed, and at this time, the efficiency θ, i.e., the super efficiency value, greater than or equal to 1 is obtained. And sequencing the over-efficiency values of the decision units, namely comprehensively sequencing the decision units, so as to obtain the ranking of the substation operation team and group standardized evaluation results.
According to the method, a whole set of standardized comprehensive evaluation index set capable of comprehensively reflecting the real conditions of the substation operation teams and groups is established, a whole set of multi-attribute multi-target substation operation evaluation standardized comprehensive evaluation method is formed, the dependence of evaluation on manual experience can be effectively reduced, and meanwhile the efficiency and accuracy of comprehensive evaluation of substation operation are improved.
The above is a power transformation operation normalized comprehensive evaluation method provided in the embodiments of the present application, and the following is a power transformation operation normalized comprehensive evaluation system provided in the embodiments of the present application.
Referring to fig. 2, in an embodiment of the present application, a power transformation operation normalization comprehensive evaluation system includes:
the establishing unit 201 is configured to establish an index set for normalized and comprehensive evaluation of power transformation operation, where index classification of the index set includes: duty management, equipment differentiation operation and maintenance, electrical operation management, field work management, data and account management, health ring management, team management and standardized investment cost;
a selecting unit 202, configured to select an input index and an output index of a preset processing model from the index set;
the processing unit 203 is used for carrying out quantitative processing on qualitative data in the input index and the output index by a Delphi expert opinion evaluation method;
and the calculating unit 204 is configured to calculate a rank of a power transformation operation team group standardized evaluation result by using the input index as an input vector of the preset processing model decision unit and using the output index as an output vector of the preset processing model decision unit, where the preset processing model is an improved DEA model.
Further, the embodiment of the present application further provides a power transformation operation normalization comprehensive evaluation device, where the device includes a processor and a memory:
the memory is used for storing program codes and transmitting the program codes to the processor;
the processor is used for executing the power transformation operation standardized comprehensive evaluation method according to the instruction in the program code
Further, an embodiment of the present application further provides a computer-readable storage medium, where the computer-readable storage medium is used to store a program code, and the program code is used to execute the transformer operation normalized comprehensive evaluation method described in the foregoing method embodiment
It can be clearly understood by those skilled in the art that, for convenience and brevity of description, the specific working processes of the system and the unit described above may refer to the corresponding processes in the foregoing method embodiments, and are not described herein again.
The terms "first," "second," "third," "fourth," and the like in the description of the application and the above-described figures, if any, are used for distinguishing between similar elements and not necessarily for describing a particular sequential or chronological order. It is to be understood that the data so used is interchangeable under appropriate circumstances such that the embodiments of the application described herein are, for example, capable of operation in sequences other than those illustrated or otherwise described herein. Furthermore, the terms "comprises," "comprising," and "having," and any variations thereof, are intended to cover a non-exclusive inclusion, such that a process, method, system, article, or apparatus that comprises a list of steps or elements is not necessarily limited to those steps or elements expressly listed, but may include other steps or elements not expressly listed or inherent to such process, method, article, or apparatus.
It should be understood that in the present application, "at least one" means one or more, "a plurality" means two or more. "and/or" for describing an association relationship of associated objects, indicating that there may be three relationships, e.g., "a and/or B" may indicate: only A, only B and both A and B are present, wherein A and B may be singular or plural. The character "/" generally indicates that the former and latter associated objects are in an "or" relationship. "at least one of the following" or similar expressions refer to any combination of these items, including any combination of single item(s) or plural items. For example, at least one (one) of a, b, or c, may represent: a, b, c, "a and b", "a and c", "b and c", or "a and b and c", wherein a, b, c may be single or plural.
In the several embodiments provided in the present application, it should be understood that the disclosed system, apparatus and method may be implemented in other manners. For example, the above-described apparatus embodiments are merely illustrative, and for example, the division of the units is only one logical division, and other divisions may be realized in practice, for example, a plurality of units or components may be combined or integrated into another system, or some features may be omitted, or not executed. In addition, the shown or discussed mutual coupling or direct coupling or communication connection may be an indirect coupling or communication connection through some interfaces, devices or units, and may be in an electrical, mechanical or other form.
The units described as separate parts may or may not be physically separate, and parts displayed as units may or may not be physical units, may be located in one place, or may be distributed on a plurality of network units. Some or all of the units can be selected according to actual needs to achieve the purpose of the solution of the embodiment.
In addition, functional units in the embodiments of the present application may be integrated into one processing unit, or each unit may exist alone physically, or two or more units are integrated into one unit. The integrated unit can be realized in a form of hardware, and can also be realized in a form of a software functional unit.
The integrated unit, if implemented in the form of a software functional unit and sold or used as a stand-alone product, may be stored in a computer readable storage medium. Based on such understanding, the technical solution of the present application may be substantially implemented or contributed to by the prior art, or all or part of the technical solution may be embodied in a software product, which is stored in a storage medium and includes instructions for causing a computer device (which may be a personal computer, a server, or a network device) to execute all or part of the steps of the method according to the embodiments of the present application. And the aforementioned storage medium includes: a U disk, a removable hard disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), a magnetic disk or an optical disk, and other various media capable of storing program codes.
The above embodiments are only used for illustrating the technical solutions of the present application, and not for limiting the same; although the present application has been described in detail with reference to the foregoing embodiments, it should be understood by those of ordinary skill in the art that: the technical solutions described in the foregoing embodiments may still be modified, or some technical features may be equivalently replaced; and such modifications or substitutions do not depart from the spirit and scope of the corresponding technical solutions in the embodiments of the present application.
Claims (10)
1. A power transformation operation standardization comprehensive evaluation method is characterized by comprising the following steps:
establishing an index set for normalized comprehensive evaluation of power transformation operation, wherein the index classification of the index set comprises the following steps: duty management, equipment differentiation operation and maintenance, electrical operation management, field work management, data and account management, health ring management, team management and standardized investment cost;
selecting an input index and an output index of a preset processing model from the index set;
carrying out quantitative processing on qualitative data in the input index and the output index by a Delphi expert opinion evaluation method;
and calculating to obtain the rank of the normalized evaluation result of the substation operation team group by taking the input index as an input vector of a preset processing model decision unit and taking the output index as an output vector of the preset processing model decision unit, wherein the preset processing model is an improved DEA model.
2. The power transformation operation normalized comprehensive evaluation method according to claim 1, wherein the expression of the improved DEA model is as follows:
in the formula, theta is an over-efficiency value;
e＝[1,1,…,1]T,e∈Rs；xjan m-dimensional input vector of the jth decision unit; y isjAn s-dimensional output vector of the jth decision unit; x is the number of0And y0The input vector and the output vector of the j decision unit to be evaluated are respectively; epsilon is the infinitesimal quantity of non-Archimedes, n is the number of decision units, and each decision unit has m inputs and s outputs.
3. The method for the normalized comprehensive evaluation of the power transformation operation according to claim 1, wherein the qualitative data in the input index and the output index is subjected to quantization processing through a delphie expert opinion evaluation method, and specifically comprises:
and carrying out anonymous evaluation on the qualitative data, assigning values to the qualitative data according to a preset index importance level and a preset quantity value, and taking a weighted average value according to the number of experts and the importance given by each expert.
4. The transformation operation standardization comprehensive evaluation method according to claim 1, wherein the index classification further comprises: the bonus award.
5. The transformation operation normalized comprehensive evaluation method according to claim 1, wherein the duty management comprises: the method comprises the steps of managing the number of transformer substations, personnel and post configuration, talent equivalent, duty mode, faults and abnormity.
6. The transformation operation normalized comprehensive evaluation method according to claim 1, wherein the equipment differentiation operation and maintenance comprises: equipment health degree, equipment importance degree, equipment risk assessment and grading, policy making, policy execution and equipment operation and maintenance performance evaluation.
7. The transformation operation normalized comprehensive evaluation method according to claim 1, wherein the electrical operation management comprises: electric operation qualification, operation ticket management, anti-misoperation locking system and electric operation.
8. The utility model provides a transformer operation standardization comprehensive evaluation system which characterized in that includes:
the establishing unit is used for establishing an index set for the standardized comprehensive evaluation of the power transformation operation, and the index classification of the index set comprises the following steps: duty management, equipment differentiation operation and maintenance, electrical operation management, field work management, data and account management, health ring management, team management and standardized investment cost;
the selection unit is used for selecting the input indexes and the output indexes of the preset processing model from the index set;
the processing unit is used for carrying out quantitative processing on qualitative data in the input index and the output index through a Delphi expert opinion evaluation method;
and the calculation unit is used for calculating the rank of the power transformation operation team group standardized evaluation result by taking the input index as an input vector of the preset processing model decision unit and taking the output index as an output vector of the preset processing model decision unit, wherein the preset processing model is an improved DEA model.
9. The utility model provides a transformer operation normalization comprehensive evaluation equipment which characterized in that, the equipment includes processor and memory:
the memory is used for storing program codes and transmitting the program codes to the processor;
the processor is used for executing the transformer operation standardized comprehensive evaluation method according to any one of claims 1 to 7 according to instructions in the program codes.
10. A computer-readable storage medium, wherein the computer-readable storage medium is configured to store a program code, and the program code is configured to execute the transformer operation normalized comprehensive evaluation method according to any one of claims 1 to 7.
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| CN116596411A (en) * | 2023-07-18 | 2023-08-15 | 广州健新科技有限责任公司 | Production safety evaluation method and system combining two-ticket detection |
| CN116596411B (en) * | 2023-07-18 | 2023-12-22 | 广州健新科技有限责任公司 | Production safety evaluation method and system combining two-ticket detection |
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