CN114330979A - Evaluation index system after construction of coal-fired unit intelligent power plant - Google Patents
Evaluation index system after construction of coal-fired unit intelligent power plant Download PDFInfo
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Abstract
The invention relates to a post-construction evaluation index system of a coal-fired unit intelligent power plant, which comprises the following components: the index system establishing module is used for acquiring an expert scoring result of the evaluation index after the coal-fired unit intelligent power plant is constructed, obtaining each index weight of each level by adopting an analytic hierarchy process according to the expert scoring result, and constructing a complete coal-fired unit intelligent power plant evaluation system after the construction according to the index weight calculation result of each level; the expert scoring result is obtained by judging the relative importance of all indexes pairwise based on an expert scoring method and a 9-scale method; and the comprehensive evaluation module is used for obtaining the scoring result of the evaluation index of the lowest layer and calculating upwards layer by layer according to the weights of all the levels to obtain the post-evaluation comprehensive score of the intelligent power plant construction of all the levels and the whole coal-fired unit. The method can objectively evaluate the construction effect of the intelligent power plant of the power generation enterprise, improve the current situation of the construction performance evaluation of the intelligent power plant, guide investment decisions, standardize and strengthen the management level of construction projects of the intelligent power plant, and improve investment benefits.
Description
Technical Field
The invention relates to the technical field of post-construction evaluation of intelligent power plants, in particular to a post-construction evaluation index system of a coal-fired unit intelligent power plant.
Background
At present, under the support and investment of each large power generation group and high and new technology enterprises, the traditional power generation field of China strives to develop intelligent power plant construction projects. In order to solve the problems of fuzzy evaluation indexes, subjective evaluation conclusion, missing evaluation system and the like in the construction performance evaluation of the intelligent power plant of the coal-fired unit, a set of scientific, objective and unified post-evaluation index system needs to be established.
Disclosure of Invention
The invention aims to provide an evaluation index system after construction of a smart power plant of a coal-fired unit, which objectively evaluates the construction effect of the smart power plant of a power generation enterprise through post-evaluation work, improves the construction performance evaluation current situation of the smart power plant, guides investment decisions, standardizes and strengthens the management level of the construction project of the smart power plant so as to achieve the aim of improving investment benefits.
The invention provides a post-construction evaluation index system of a coal-fired unit intelligent power plant, which comprises the following steps:
the index system establishing module is used for acquiring an expert scoring result of the evaluation index after the coal-fired unit intelligent power plant is constructed, obtaining each index weight of each level by adopting an analytic hierarchy process according to the expert scoring result, and constructing a complete coal-fired unit intelligent power plant evaluation system after the construction according to the index weight calculation result of each level; the expert scoring result is obtained by judging the relative importance of all indexes pairwise based on an expert scoring method and a 9-scale method;
the comprehensive evaluation module is used for obtaining the scoring result of the evaluation index of the lowest layer and calculating upwards layer by layer according to the weights of all the levels to obtain the post-evaluation comprehensive score of the intelligent power plant construction of all the levels and the whole coal-fired unit; and obtaining the scoring result based on an expert scoring method and a fuzzy comprehensive evaluation method.
Further, the index system establishing module is specifically configured to:
1) according to the expert scoring result, obtaining a judgment matrix of each level by weighted average;
2) calculating a weight vector of the judgment matrix:
A＝(aij)n×nif a isij＝1/aij，aik·akj＝aijIf so, the matrix A can be judged to be a consistency matrix, and a sum method is adopted to calculate the weight vector:
normalizing the column vectors of the judgment matrix A:
And (3) solving a column vector normalization matrix:
B＝(bij)n×n
summing and normalizing elements of each row of the matrix B to obtain a weight vector:
3) and (3) checking consistency:
firstly, let λ be the maximum characteristic root of the positive reciprocal matrix a, and when the positive reciprocal matrix a is a consistency matrix, then:
λ≥n
because lambda is continuously dependent on the evaluation index aij(ii) a If lambda is obviously larger than n, the matrix A has higher inconsistency; the weight vector corresponding to the maximum characteristic root of the matrix A is the weight vector of the influence of the comparison element on the upper layer element; judging the inconsistency degree of the judgment matrix according to the size of the weight vector;
secondly, a consistency index is defined: CI ═ n (lambda)/(n-1)
When CI is 0, the judgment error of the judgment matrix A is 0, and the judgment matrix A has complete consistency; when the CI is close to 0, the judgment error of the judgment matrix A is smaller, and the consistency is better; the larger the CI value is, the larger the judgment error of the judgment matrix A is, and the worse the inconsistency is;
calculating a check coefficient CR by comparing the consistency index RI with the consistency index RI;
finally, a test factor is defined: CR is CI/RI
When CR is less than 0.1, the judgment matrix passes consistency test and can be accepted;
when CR is greater than 0.1, the judgment matrix is not subjected to consistency check, the judgment matrix needs to be assigned and adjusted, and the weight vector is recalculated and the consistency check is carried out until the check is passed;
4) and constructing a complete coal-fired unit intelligent power plant post-construction evaluation system according to the index weight calculation results of all levels.
Further, the comprehensive evaluation module is specifically configured to:
(1) obtaining the rating of the evaluation expert on the lowest evaluation index through an expert rating card, wherein the rating is divided into five grades of advanced, excellent, good, qualified and failed;
(2) and (3) carrying out normalization processing on the grading result of the expert of the third-level evaluation index to obtain a third-level evaluation index evaluation matrix R:
(3) matrix multiplication calculation is carried out on the three-level evaluation matrix and the corresponding three-level evaluation index weight to obtain a second-level evaluation index fuzzy comprehensive evaluation result, and a second-level evaluation index fuzzy comprehensive evaluation matrix B is obtained:
(4) matrix multiplication calculation is carried out on the secondary evaluation matrix and the corresponding secondary evaluation index weight to obtain a primary evaluation index fuzzy comprehensive evaluation result and obtain a primary evaluation index fuzzy comprehensive evaluation matrix;
(5) and performing matrix multiplication calculation on the primary evaluation matrix and the corresponding primary evaluation index weight to obtain a fuzzy comprehensive evaluation result of the overall construction performance of the project.
By means of the scheme, the evaluation index system after construction of the intelligent power plant of the coal-fired unit can objectively evaluate the construction effect of the intelligent power plant of the power generation enterprise, improve the evaluation current situation of construction performance of the intelligent power plant, guide investment decisions, standardize and strengthen the management level of construction projects of the intelligent power plant, and improve investment benefits.
The foregoing description is only an overview of the technical solutions of the present invention, and in order to make the technical solutions of the present invention more clearly understood and to implement them in accordance with the contents of the description, the following detailed description is given with reference to the preferred embodiments of the present invention and the accompanying drawings.
Drawings
FIG. 1 is a block diagram of an evaluation index system after construction of a coal-fired unit intelligent power plant.
Detailed Description
The following detailed description of embodiments of the present invention is provided in connection with the accompanying drawings and examples. The following examples are intended to illustrate the invention but are not intended to limit the scope of the invention.
Referring to fig. 1, the present embodiment provides a post-construction evaluation index system of a coal-fired unit intelligent power plant, including:
the index system establishing module 10 is used for acquiring expert scoring results of evaluation indexes after construction of the intelligent power plant of the coal-fired unit, obtaining each index weight of each level by adopting an analytic hierarchy process according to the expert scoring results, and establishing a complete evaluation system after construction of the intelligent power plant of the coal-fired unit according to the index weight calculation results of each level; and the expert scoring result is obtained by judging the relative importance of all indexes pairwise based on an expert scoring method and a 9-scale method.
Establishing an index system, wherein a specific target to be evaluated is determined; according to the principle established by indexes: scientificity, combination of qualitative and quantitative, objectivity and fairness, comprehensiveness of evaluation indexes, relative independence between the evaluation indexes, operability and practicability, universality and comparability, hierarchy and the like, and the set indexes can reflect the quality of the effect generated by a project and reflect the systematicness and the evaluation quality of evaluation after the project; according to documents such as intelligent power plant construction guidance opinions of a power generation group, power generation enterprise safety regulations, intelligent power plant research journal papers and the like, all index data and information are evaluated after being collected, and reasonable evaluation indexes such as early-stage evaluation, implementation evaluation, investment evaluation, management evaluation and the like are selected. Establishing a hierarchical analysis structure; according to the connection and the difference between evaluation indexes after the construction of the intelligent power plant of the coal-fired unit, the indexes are classified, and an index system comprising three levels is constructed based on an analytic hierarchy process. The comprehensive evaluation module 20 is used for obtaining a scoring result of the evaluation index of the lowest layer (third layer), and calculating upwards layer by layer according to the weights of all the levels to obtain post-evaluation comprehensive scores of all the levels and the construction of the intelligent power plant of the whole coal-fired unit; and obtaining the scoring result based on an expert scoring method and a fuzzy comprehensive evaluation method.
In this embodiment, the index system establishing module 10 is specifically configured to:
1) inviting technical responsibility of experts, company management posts, scientific research posts, regional branch company management posts and basic level enterprises in the industry, judging the relative importance of each index in pairs by adopting a 9-scale method, and obtaining a judgment matrix of each level by weighted average according to the grading result of the experts;
2) calculating a weight vector of the judgment matrix:
A＝(aij)n×nif a isij＝1/aij，aik·akj＝aijIf so, the matrix A can be judged to be a consistency matrix, and a sum method is adopted to calculate the weight vector:
normalizing the column vectors of the judgment matrix A:
And (3) solving a column vector normalization matrix:
B＝(bij)n×n
summing and normalizing elements of each row of the matrix B to obtain a weight vector:
3) and (3) checking consistency:
firstly, let λ be the maximum characteristic root of the positive reciprocal matrix a, and when the positive reciprocal matrix a is a consistency matrix, then:
λ≥n
because lambda is continuously dependent on the evaluation index aij(ii) a If lambda is obviously larger than n, the matrix A has higher inconsistency; the weight vector corresponding to the maximum characteristic root of the matrix A is the weight vector of the influence of the comparison element on the upper layer element; judging the inconsistency degree of the judgment matrix according to the size of the weight vector;
secondly, a consistency index is defined: CI ═ n (lambda)/(n-1)
When CI is 0, the judgment error of the judgment matrix A is 0, and the judgment matrix A has complete consistency; when the CI is close to 0, the judgment error of the judgment matrix A is smaller, and the consistency is better; the larger the CI value is, the larger the judgment error of the judgment matrix A is, and the worse the inconsistency is;
in order to reduce the consistency deviation degree caused by random reasons, the consistency check is carried out by using the judgment matrix, so that an average random consistency index RI needs to be introduced, and the table 1 shows.
Calculating a check coefficient CR by comparing the consistency index RI with the consistency index RI;
TABLE 1 average random consistency Standard index
Finally, a test factor is defined: CR is CI/RI
When CR is less than 0.1, the judgment matrix passes consistency test and can be accepted;
when CR is larger than 0.1, the judgment matrix is considered to fail the consistency check, the judgment matrix needs to be assigned and adjusted, and the weight vector is recalculated and the consistency check is carried out until the check is passed;
4) and constructing a complete coal-fired unit intelligent power plant post-construction evaluation system according to the index weight calculation results of all levels.
In this embodiment, the comprehensive evaluation module 20 is specifically configured to:
(1) obtaining the rating of the evaluation expert on the lowest evaluation index through an expert rating card, wherein the rating is divided into five grades of advanced, excellent, good, qualified and failed;
(2) and (3) carrying out normalization processing on the grading result of the expert of the third-level evaluation index to obtain a third-level evaluation index evaluation matrix R:
(3) matrix multiplication calculation is carried out on the three-level evaluation matrix and the corresponding three-level evaluation index weight to obtain a second-level evaluation index fuzzy comprehensive evaluation result, and a second-level evaluation index fuzzy comprehensive evaluation matrix B is obtained:
(4) matrix multiplication calculation is carried out on the secondary evaluation matrix and the corresponding secondary evaluation index weight to obtain a primary evaluation index fuzzy comprehensive evaluation result and obtain a primary evaluation index fuzzy comprehensive evaluation matrix;
(5) and performing matrix multiplication calculation on the primary evaluation matrix and the corresponding primary evaluation index weight to obtain a fuzzy comprehensive evaluation result of the overall construction performance of the project.
In a specific embodiment, the evaluation index system after the construction of the intelligent power plant of the coal-fired unit is established and comprehensively evaluated through the following steps of a complete index system.
Step one and step two: the method for establishing the post-construction evaluation index system of the intelligent power plant of the coal-fired unit combines the current situation and the specific characteristics of the construction project of the intelligent power plant, and the selected post-evaluation system is analyzed in four aspects of overall architecture and functional design, project income, whole plant safety and strategic significance. And establishing indexes in a hierarchical mode and endowing different evaluation weights to form a post-evaluation index system.
The post-construction evaluation system of the intelligent power plant of the coal-fired unit comprises four primary indexes of an overall architecture, a function design, project income, whole plant safety, strategic significance and the like. In order to fully evaluate a certain primary index, a plurality of secondary indexes can be established below the primary index according to the evaluation requirement.
The design of the overall framework of the intelligent power plant is of great importance to the construction effect of the intelligent power plant, and the unreasonable structural design directly causes the deviation of the construction route and the side key of functional application, so that the basic appeal of the construction of the intelligent power plant of a power generation enterprise or a group company cannot be realized, and the waste of resources such as economy, manpower, time and the like is caused. The overall architecture and the functional design comprise four secondary indexes of data center construction, intelligent control function design, operation management function design, functional expansibility and the like;
one of the purposes of construction of the intelligent power plant of the coal-fired unit is to improve the operation vitality of the old unit and realize the purposes of reducing personnel and improving efficiency. The investment of related projects of the intelligent power plant is focused on accumulating scientific research achievements, and a batch of intelligent power plant construction core technologies with main intellectual property rights are formed. The project income comprises three secondary indexes of production benefit improvement, per-capita labor productivity reduction, capital utilization efficiency and the like;
the safety problem of the power industry is always a relatively important problem in China and society. From the perspective of guaranteeing stable production and construction of the country or from the perspective of guaranteeing personal safety of enterprise personnel, once safety problems occur, serious social influence and economic loss are caused. Therefore, power generation enterprises always use safety as a bottom line for enterprise operation and development. The whole plant safety comprises three secondary indexes of personnel safety, equipment safety, network safety and the like;
the thermal power generation in China accounts for more than 70% of the total power generation amount in China and is at the head of energy structure. The construction of the intelligent power plant of the coal-fired unit has a strong demonstration effect in the field of power generation; the coal-fired unit has high energy consumption and high pollution, so the strategic significance is determined as a secondary index. The strategic significance comprises two secondary indexes of industry demonstration effect, new business expansion and the like;
in order to further show the relationship between the post-evaluation index system and the actual engineering project and ensure the operability of post-evaluation work, each secondary index needs to be continuously decomposed into 37 tertiary indexes based on an analytic hierarchy process.
Step three: according to the steps, carrying out pairwise importance judgment and weight calculation on experts to obtain the following weight results:
judgment of importance of experts on each other
First and second grade index weight summary table
Two and three level index weight summary table
Step four: and developing the grading of the experts with the three-level indexes, and calculating the comprehensive grading of the indexes at all levels according to the grading card result of the experts with the three-level evaluation indexes.
Grading result of third-level index expert
Normalizing the grading result of the expert with the three-level index to obtain a data center construction matrix R11And an intelligent control function design matrix R12Management function design R13Function expansibility matrix R14Production benefit promotion matrix R21Reduction of per capita productivity matrix R22Capital utilization efficiency matrix R23Personal safety matrix R31Device security matrix R32Network security matrix R33Industry demonstration effect matrix R41New service expansion matrix R42。
(1) Carrying out fuzzy comprehensive evaluation on the construction of a secondary index data center according to a formula:
W11＝[0.3906 0.2322 0.1228 0.1450 0.1094]
B11＝W11×R11＝[0.5114 0.3008 0.1879 0 0]
the calculation results show that the data center construction level of the project is high because the advanced membership degree is 51.14%, the excellent membership degree is 30.08%, and the total membership degree exceeds 80%.
(2) Carrying out fuzzy comprehensive evaluation on the intelligent control function design of the secondary indexes according to a formula:
W12＝[0.3562 0.3250 0.1937 0.1251]
B12＝W12×R12＝[0.3391 0.3276 0.2365.0.0969 0]
the calculation result shows that the intelligent control function design of the project has the advanced membership degree of 33.91%, the excellent membership degree of 32.76%, the good membership degree of 23.65% and the qualified membership degree of 9.69%. Although the sum of advanced and excellent membership degrees exceeds 50%, the ratio of good and qualified membership degrees exceeds 30%, which indicates that the design of the intelligent control function of the project is not perfect enough and needs to be optimized by increasing the number of control functions and improving the control quality.
(3) And carrying out fuzzy comprehensive evaluation on the secondary index operation management function design according to a formula:
W13＝[0.3873 0.4429 0.1698]
B13＝W13×R13＝[0.3287 0.4167 0.2405 0.0142 0]
the calculation result shows that the advanced membership degree of the design of the operation management function of the project is 32.87 percent, the excellent membership degree is 41.67 percent, and the overall construction level of the operation management function is higher; the good membership degree is 24.05%, which indicates that the interaction of the operation management system needs to be improved, and the operation management system is not fused with all the original systems and needs to be improved.
(4) And carrying out fuzzy comprehensive evaluation on the expansibility of the secondary index function according to a formula:
W14＝[0.3944 0.1972 0.2389 0.1694]
B14＝W14×R14＝[0.3509 0.3685 0.2805 0 0]
the calculation result shows that the degree of membership of the item with advanced function expansibility is 35.09%, the excellent degree of membership is 36.85%, and the good degree of membership is 28.05%. The overall construction level of function expansibility is between advanced and excellent, but the interactive experience of project deployment is lack of uniformity and needs to be improved continuously.
(5) And carrying out fuzzy comprehensive evaluation on the improvement of the production benefit of the secondary indexes according to a formula:
W21＝[0.4111 0.3278 0.2611]
B21＝W21×R21＝[0.2352 0.3838 0.3046 0.0764 0]
the calculation result shows that the advanced degree of membership for improving the production benefit of the project is 23.52%, the excellent degree of membership is 38.38%, and the excellent degree of membership is 24.05%, so that the overall construction level for improving the production benefit can be evaluated to be excellent, and the advanced level is not reached. This is because the project mainly aims at the boiler system to intelligent control function construction, does not cover other host computers of the whole plant, and the intelligent control function quantity is relatively less, leads to the actual economic benefits that brings for the power plant and does not exceed the power plant expectation.
(6) And carrying out fuzzy comprehensive evaluation on the reduction of the labor productivity per capita of the secondary indexes according to a formula:
W22＝[0.2500 0.2500 0.2500 0.2500]
B22＝W22×R22＝[0.5417 0.2917 0.1667 0 0]
it can be seen from the calculation results that the per-person labor productivity of this example is reduced by 54.17% for the advanced degree of membership, 29.17% for the excellent degree of membership, and 16.67% for the good degree of membership. The construction level for evaluating the reduction of the per-capita labor productivity is advanced and exceeds the expectation of power plant erection.
(7) And carrying out fuzzy comprehensive evaluation on the second-level index fund utilization efficiency according to a formula:
W23＝[0.5000 0.5000]
B23＝W23×R23＝[0.1250 0.2083 0.4167 0.2083 0.0417]
the calculation result shows that the fund utilization efficiency of the project is advanced, the membership degree is 12.57%, the excellent membership degree is 20.83%, the good membership degree is 41.67%, the qualified membership degree is 20.83%, and the failed membership degree is 4.17%. The reduction of the construction level by the per-capita labor productivity can be evaluated to be good. The reason is that the execution budget of the example is 3000 ten thousand yuan, the capital investment for research and development is low, and the original equipment is expected to be worn.
(8) And carrying out fuzzy comprehensive evaluation on the safety of the second-level index personnel according to a formula:
W31＝[0.5000 0.5000]
B31＝W31×R31＝[0.6250 0.3750 0 0 0]
the calculation result shows that the membership degree of the project for the personnel safety is 62.5 percent, and the excellent membership degree is 37.5 percent. The safety construction level of personnel can be evaluated to be advanced.
(9) And carrying out fuzzy comprehensive evaluation on the safety of the secondary index equipment according to a formula:
W32＝[0.5000 0.5000]
B32＝W32×R32＝[0 0.1250 0.4583 0.3750 0.0417]
the calculation result shows that the degree of membership of the equipment safety of the project is 0%, the excellent degree of membership is 12.5%, the good degree of membership is 45.83%, the qualified degree of membership is 37.5%, and the failed degree of membership is 4.17%. The equipment safety construction level can be evaluated as good. The reason is that the investment in the first-time planning of the project is less in the construction of equipment diagnosis and maintenance functions, and more application releases cannot be realized, which is the main embodiment of the project investment proportion.
(10) And carrying out fuzzy comprehensive evaluation on the network security of the secondary indexes according to a formula:
W33＝[0.5000 0.5000]
B33＝W33×R33＝[0.7917 0.2083 0 0 0]
the calculation result shows that the advanced membership degree of the network security of the project is 79.17%, and the excellent membership degree is 20.83%. The network security construction level can be evaluated to be advanced.
(11) Carrying out fuzzy comprehensive evaluation on the demonstration effect of the secondary index industry according to a formula:
W41＝[0.3458 0.2458 0.2042 0.2042]
B41＝W41×R41＝[0.1021 0.1021 0.1986 0.3691 0.2281]
according to the calculation result, the advanced membership degree of the industry demonstration effect of the project is 10.21%, the excellent membership degree is 10.21%, the good membership degree is 19.86%, the qualified membership degree is 36.91%, and the failed membership degree is 22.81%. And evaluating the construction level of the industry demonstration effect as qualified.
(12) Carrying out fuzzy comprehensive evaluation on the new service expansion of the secondary indexes according to a formula:
W42＝[0.5000 0.5000]
B42＝W42×R42＝[0.4583 0.3750 0.1667 0 0]
the calculation result shows that the advanced membership degree of the new service development of the project is 45.83%, the excellent membership degree is 37.5%, and the good membership degree is 16.67%. The new business development construction level can be evaluated to be advanced.
First order fuzzy comprehensive evaluation
And obtaining a primary fuzzy comprehensive evaluation matrix of the W intelligent power plant construction project according to the calculation result. Including an overall architecture and functional design matrix R1Item, itemRevenue matrix R2Safety matrix R of whole plant3Strategic significance matrix R4。
(1) And carrying out fuzzy comprehensive evaluation on the overall architecture and functional design of the primary index according to a formula:
W1＝[0.5302 0.3118 0.0962 0.0618]
B1＝W1×R1＝[0.4301 0.3245 0.2138 0.0316 0]
the calculation result shows that the overall architecture and function design of the project has the advanced membership degree of 43.01%, the excellent membership degree of 32.45%, the good membership degree of 21.38% and the qualified membership degree of 3.16%. The overall architecture and functional design is evaluated to be advanced.
(2) And carrying out fuzzy comprehensive evaluation on the income of the first-level index project according to a formula:
W2＝[0.5571 0.3202 0.1226]
B2＝W2×R2＝[0.3198 0.3327 0.2742 0.0681 0.0051]
as can be seen from the calculation results, the yield of the project is 31.98% of advanced membership, 33.27% of excellent membership, 27.42% of good membership, 6.81% of qualified membership and 0.51% of failed membership. The project yield was evaluated to be excellent.
(3) Carrying out fuzzy comprehensive evaluation on the safety of the first-level index whole plant according to a formula:
W3＝[0.6690 0.0738 0.2572]
B3＝W3×R3＝[0.6217 0.3137 0.0338 0.0277 0.0031]
according to the calculation result, the degree of membership of the whole plant safety is 62.17%, the excellent degree of membership is 31.37%, the good degree of membership is 3.38%, the qualified degree of membership is 2.77%, and the failed degree of membership is 0.31%. The safety evaluation of the whole plant is advanced.
(4) Carrying out fuzzy comprehensive evaluation on the strategic significance of the first-level indexes according to a formula:
W4＝[0.8750 0.1250]
B4＝W4×R4＝[0.1466 0.1362 0.1946 0.3229 0.1996]
the calculation result shows that the strategic importance of the project is advanced by 14.66%, the excellent membership is 13.62%, the good membership is 19.46%, the qualified membership is 32.29%, and the failed membership is 19.96%. And evaluating the strategic significance as qualified.
Fuzzy comprehensive evaluation of overall construction performance of project
And obtaining a W intelligent power plant construction project overall construction performance fuzzy comprehensive evaluation matrix R according to the primary fuzzy comprehensive evaluation result.
And carrying out fuzzy comprehensive evaluation on the overall construction performance of the project according to a formula:
W＝[0.3979 0.3118 0.0962 0.0618]
B＝W×R＝[0.4666 0.3117 0.1565 0.0523 0.0128]
the calculation result shows that the overall construction performance of the project is advanced by 46.66%, excellent by 31.17%, good by 15.65%, qualified by 5.23%, and failed by 1.28%. Therefore, the construction performance evaluation of the W power plant intelligent power plant is advanced finally.
Through this coal-fired unit wisdom power plant after-construction evaluation index system, can objectively evaluate the construction effect of power generation enterprise wisdom power plant, improve wisdom power plant construction performance evaluation current situation, guide investment decision-making, standardize and strengthen wisdom power plant construction project management level, improve investment benefit.
The above description is only a preferred embodiment of the present invention and is not intended to limit the present invention, it should be noted that, for those skilled in the art, many modifications and variations can be made without departing from the technical principle of the present invention, and these modifications and variations should also be regarded as the protection scope of the present invention.
Claims (3)
1. The utility model provides a coal-fired unit wisdom power plant evaluation index system after construction which characterized in that includes:
the index system establishing module is used for acquiring an expert scoring result of the evaluation index after the coal-fired unit intelligent power plant is constructed, obtaining each index weight of each level by adopting an analytic hierarchy process according to the expert scoring result, and constructing a complete coal-fired unit intelligent power plant evaluation system after the construction according to the index weight calculation result of each level; the expert scoring result is obtained by judging the relative importance of all indexes pairwise based on an expert scoring method and a 9-scale method;
the comprehensive evaluation module is used for obtaining the scoring result of the evaluation index of the lowest layer and calculating upwards layer by layer according to the weights of all the levels to obtain the post-evaluation comprehensive score of the intelligent power plant construction of all the levels and the whole coal-fired unit; and obtaining the scoring result based on an expert scoring method and a fuzzy comprehensive evaluation method.
2. The coal-fired unit intelligent power plant post-construction evaluation index system of claim 1, wherein the index system establishing module is specifically configured to:
1) according to the expert scoring result, obtaining a judgment matrix of each level by weighted average;
2) calculating a weight vector of the judgment matrix:
A＝(aij)n×nif a isij＝1/aij，aik·akj＝aijIf so, the matrix A can be judged to be a consistency matrix, and a sum method is adopted to calculate the weight vector:
normalizing the column vectors of the judgment matrix A:
And (3) solving a column vector normalization matrix:
B＝(bij)n×n
summing and normalizing elements of each row of the matrix B to obtain a weight vector:
3) and (3) checking consistency:
firstly, let λ be the maximum characteristic root of the positive reciprocal matrix a, and when the positive reciprocal matrix a is a consistency matrix, then:
λ≥n
due to the continuous dependence of lambdaDepending on the evaluation index aij(ii) a If lambda is obviously larger than n, the matrix A has higher inconsistency; the weight vector corresponding to the maximum characteristic root of the matrix A is the weight vector of the influence of the comparison element on the upper layer element; judging the inconsistency degree of the judgment matrix according to the size of the weight vector;
secondly, a consistency index is defined: CI ═ n (lambda)/(n-1)
When CI is 0, the judgment error of the judgment matrix A is 0, and the judgment matrix A has complete consistency; when the CI is close to 0, the judgment error of the judgment matrix A is smaller, and the consistency is better; the larger the CI value is, the larger the judgment error of the judgment matrix A is, and the worse the inconsistency is;
calculating a check coefficient CR by comparing the consistency index RI with the consistency index RI;
finally, a test factor is defined: CR is CI/RI
When CR is less than 0.1, the judgment matrix passes the consistency test and is acceptable;
when CR is greater than 0.1, the judgment matrix is not subjected to consistency check, the judgment matrix needs to be assigned and adjusted, and the weight vector is recalculated and the consistency check is carried out until the check is passed;
4) and constructing a complete coal-fired unit intelligent power plant post-construction evaluation system according to the index weight calculation results of all levels.
3. The coal-fired unit intelligent power plant post-construction evaluation index system of claim 1, wherein the comprehensive evaluation module is specifically configured to:
(1) obtaining the rating of the evaluation expert on the lowest evaluation index through an expert rating card, wherein the rating is divided into five grades of advanced, excellent, good, qualified and failed;
(2) and (3) carrying out normalization processing on the grading result of the expert of the third-level evaluation index to obtain a third-level evaluation index evaluation matrix R:
(3) matrix multiplication calculation is carried out on the three-level evaluation matrix and the corresponding three-level evaluation index weight to obtain a second-level evaluation index fuzzy comprehensive evaluation result, and a second-level evaluation index fuzzy comprehensive evaluation matrix B is obtained:
(4) matrix multiplication calculation is carried out on the secondary evaluation matrix and the corresponding secondary evaluation index weight to obtain a primary evaluation index fuzzy comprehensive evaluation result and obtain a primary evaluation index fuzzy comprehensive evaluation matrix;
(5) and performing matrix multiplication calculation on the primary evaluation matrix and the corresponding primary evaluation index weight to obtain a fuzzy comprehensive evaluation result of the overall construction performance of the project.
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