CN110796564A - Project statistical index screening method for power grid enterprise comprehensive plan distribution measurement and calculation - Google Patents

Project statistical index screening method for power grid enterprise comprehensive plan distribution measurement and calculation Download PDF

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CN110796564A
CN110796564A CN201910848261.1A CN201910848261A CN110796564A CN 110796564 A CN110796564 A CN 110796564A CN 201910848261 A CN201910848261 A CN 201910848261A CN 110796564 A CN110796564 A CN 110796564A
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expert
index
indexes
project
coefficient
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文凡
于晓彦
朱国荣
蔡张花
成飞
王薇
刘军
张一泓
洪周真言
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State Grid Zhejiang Electric Power Co Ltd
Zhejiang Huayun Information Technology Co Ltd
Economic and Technological Research Institute of State Grid Zhejiang Electric Power Co Ltd
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State Grid Zhejiang Electric Power Co Ltd
Zhejiang Huayun Information Technology Co Ltd
Economic and Technological Research Institute of State Grid Zhejiang Electric Power Co Ltd
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Abstract

The invention discloses a project statistical index screening method for power grid enterprise comprehensive plan distribution measurement, which comprises the following steps of: and inquiring the expert opinion score and obtaining the expert opinion score. Degree of expert authority CRWeighted arithmetic meanFull component frequency k'iCoefficient of variation ViGrade and SjThe expert opinion coordination coefficient W, the expert positive coefficient K and the index expected value are used as the first eight indexes of the parameters as the project statistics and assessment indexes. The invention has the advantages that: through the statistical analysis to the data, arrange out the index of weight size, let the project management personnel all focus on in the project statistics in-process, make the project management and control work more targeted. In a manner of soliciting opinions from experts, through simple data processing,the expert experience is combined with the actual condition of project management and control to a certain extent, and the statistical result better reflects the project management and control condition.

Description

Project statistical index screening method for power grid enterprise comprehensive plan distribution measurement and calculation
Technical Field
The invention relates to a project statistical index screening method for power grid enterprise comprehensive plan distribution measurement and calculation.
Background
The project statistical indexes calculated by the comprehensive planning distribution of the power grid enterprise are dozens of items in total, but some indexes are critical to the project, some indexes are relatively low in importance, and in different projects and different periods, the importance degrees of the indexes are different, and the indexes are made by experience or brain-shooting decision in the past, so that decision errors are often caused, and therefore, how to determine the main indexes in each project is critical to the planning distribution of the project.
Disclosure of Invention
The invention aims to provide a project statistical index screening method for power grid enterprise comprehensive plan distribution measurement and calculation, which can effectively solve the problem of decision errors caused by the fact that no clear project statistical index screening method exists in the prior art.
In order to solve the technical problems, the invention is realized by the following technical scheme: the project statistical index screening method for the power grid enterprise comprehensive plan distribution measurement comprises the following steps:
A. acquiring expert scores;
B. and B, extracting the following parameters from the scoring of the experts in the step A:
a. degree of expert authority CR,
Figure BDA0002196018280000011
Wherein C isaBasis for making a judgment for an expert, CsThe degree of familiarity with the problem for the expert;
b. weighted arithmetic mean
Figure BDA0002196018280000012
Figure BDA0002196018280000013
Wherein
Figure BDA0002196018280000014
Is a weighted average of i, CijThe value of the element i is the grade of the expert j, and m is the number of the experts;
c. full component frequency k'i，
Figure BDA0002196018280000021
Wherein k'iIs full-scale frequency of element i, m'iNumber of experts giving full score to element i, miThe number of experts involved in scoring the elements;
d. coefficient of variation Vi，
Figure BDA0002196018280000022
Wherein SiThe standard deviation of the score for the safety assessment index, i.e.CiA weighted value of i;
e. grade sum Sj，
Figure BDA0002196018280000024
In the formula RijEvaluating the j index for i expert;
f. the expert opinion coordination coefficient W is the ratio of the expert opinion,wherein
Figure BDA0002196018280000026
Figure BDA0002196018280000027
The dispersion of the evaluation grade of the index element i for the expert; n is the total number of the index elements; riEvaluating the sum of grades for an index element i;
Figure BDA0002196018280000028
the average value of the evaluation grade sums of all index elements;l is the number of groups with the same evaluation value in j expert evaluation; t is tlThe same level number in the L group;
and (3) carrying out significance test on the coordination coefficient:
Figure BDA00021960182800000210
if p is less than 0.05, the expert evaluates or predicts the harmony well,
if the result is not acceptable, the result is not acceptable;
g. the expert's positive coefficient K is,
Figure BDA00021960182800000211
wherein m is the number of all the persons participating in the scoring experts;
h. index expected value: comprehensively considering the full-scale frequency grade and the variation coefficient index of the weighted mean value of each index, obtaining the expected value of the importance of each index by adopting an equal probability principle, and screening the indexes in the order of the expected importance of the indexes to further determine the final weight of each index;
C. and (4) obtaining indexes of the top eight ranked bits according to the parameter statistics and using the indexes as item statistics assessment indexes.
Compared with the prior art, the invention has the advantages that: through the statistical analysis to the data, arrange out the index of weight size, let the project management personnel all focus on in the project statistics in-process, make the project management and control work more targeted. By means of inquiring the expert, the expert experience is combined with the actual condition of project management and control to a certain extent through simple data processing, and the statistical result better reflects the project management and control condition.
Detailed Description
The following detailed description of the embodiments of the present invention is intended to be illustrative, and not to be construed as limiting the invention.
The project statistical index screening method for the power grid enterprise comprehensive plan distribution measurement comprises the following steps:
A. acquiring expert scores;
B. and B, extracting the following parameters from the scoring of the experts in the step A:
a. degree of expert authority CR,Wherein C isaBasis for making a judgment for an expert, CsThe degree of familiarity with the problem for the expert;
b. weighted arithmetic mean
Figure BDA0002196018280000032
Figure BDA0002196018280000033
Wherein
Figure BDA0002196018280000034
Is a weighted average of i, CijThe value of the element i is the grade of the expert j, and m is the number of the experts;
c. full component frequency k'i，
Figure BDA0002196018280000035
Wherein k'iIs full-scale frequency of element i, m'iNumber of experts giving full score to element i, miThe number of experts involved in scoring the elements;
d. coefficient of variation Vi，
Figure BDA0002196018280000036
Wherein SiThe standard deviation of the score for the safety assessment index, i.e.
Figure BDA0002196018280000037
CiA weighted value of i;
e. grade sum Sj，
Figure BDA0002196018280000038
In the formula RijEvaluating the j index for i expert;
f. the expert opinion coordination coefficient W is the ratio of the expert opinion,
Figure BDA0002196018280000039
wherein
Figure BDA00021960182800000311
The dispersion of the evaluation grade of the index element i for the expert; n is the total number of the index elements; riEvaluating the sum of grades for an index element i;
Figure BDA00021960182800000312
the average value of the evaluation grade sums of all index elements;
Figure BDA00021960182800000313
l is the number of groups with the same evaluation value in j expert evaluation; t is tlThe same level number in the L group;
and (3) carrying out significance test on the coordination coefficient:
Figure BDA0002196018280000041
if p is less than 0.05, the expert evaluates or predicts the harmony well,
if the result is not acceptable, the result is not acceptable;
g. the expert's positive coefficient K is,
Figure BDA0002196018280000042
wherein m is the number of all the persons participating in the scoring experts;
h. index expected value: comprehensively considering the full-scale frequency grade and the variation coefficient index of the weighted mean value of each index, obtaining the expected value of the importance of each index by adopting an equal probability principle, and screening the indexes in the order of the expected importance of the indexes to further determine the final weight of each index;
C. and (4) obtaining indexes of the top eight ranked bits according to the parameter statistics and using the indexes as item statistics assessment indexes.
Through the statistical analysis to the data, arrange out the index of weight size, let the project management personnel all focus on in the project statistics in-process, make the project management and control work more targeted. By means of inquiring the expert, the expert experience is combined with the actual condition of project management and control to a certain extent through simple data processing, and the statistical result better reflects the project management and control condition.
The above description is only an embodiment of the present invention, but the technical features of the present invention are not limited thereto, and any changes or modifications within the technical field of the present invention by those skilled in the art are covered by the claims of the present invention.

Claims (1)

1. The project statistical index screening method for the power grid enterprise comprehensive plan distribution measurement is characterized by comprising the following steps of: the method comprises the following steps:
A. acquiring expert scores;
B. the following parameters were extracted from the expert scores in step a:
a. degree of expert authority CR，
Figure FDA0002196018270000011
Wherein C isaBasis for making a judgment for an expert, CsThe degree of familiarity with the problem for the expert;
b. weighted arithmetic mean
Figure FDA0002196018270000012
Wherein
Figure FDA0002196018270000014
Is a weighted average of i, CijThe value of the element i is the grade of the expert j, and m is the number of the experts;
c. full component frequency k'i，
Figure FDA0002196018270000015
Wherein k'iIs full-scale frequency of element i, m'iNumber of experts giving full score to element i, miThe number of experts involved in scoring the elements;
d. coefficient of variation Vi，
Figure FDA0002196018270000016
Wherein SiThe standard deviation of the score for the safety assessment index, i.e.
Figure FDA0002196018270000017
CiA weighted value of i;
e. grade sum Sj，In the formula RijEvaluating the j index for i expert;
f. the expert opinion coordination coefficient W is the ratio of the expert opinion,wherein
Figure FDA00021960182700000110
Figure FDA00021960182700000111
The dispersion of the evaluation grade of the index element i for the expert; n is the total number of the index elements; riEvaluating the sum of grades for an index element i;
Figure FDA00021960182700000112
the average value of the evaluation grade sums of all index elements;
Figure FDA00021960182700000113
l is the number of groups with the same evaluation value in j expert evaluation; t is tlThe same level number in the L group;
and (3) carrying out significance test on the coordination coefficient:
Figure FDA00021960182700000114
if p is less than 0.05, the expert evaluates or predicts the harmony well, and the result is acceptable, otherwise the result is not acceptable;
g. the expert's positive coefficient K is,
Figure FDA0002196018270000021
wherein m is the number of all the persons participating in the scoring experts;
h. index expected value: comprehensively considering the full-scale frequency grade and the variation coefficient index of the weighted mean value of each index, obtaining the expected value of the importance of each index by adopting an equal probability principle, and screening the indexes in the order of the expected importance of the indexes to further determine the final weight of each index;
C. and (4) obtaining indexes of the top eight ranked bits according to the parameter statistics and using the indexes as item statistics assessment indexes.
CN201910848261.1A 2019-09-09 2019-09-09 Project statistical index screening method for power grid enterprise comprehensive plan distribution measurement and calculation Pending CN110796564A (en)

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Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN116229305A (en) * 2022-12-16 2023-06-06 上海工程技术大学 Real-time evaluation method for subway station streamline congestion state based on video identification

Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN116229305A (en) * 2022-12-16 2023-06-06 上海工程技术大学 Real-time evaluation method for subway station streamline congestion state based on video identification

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