CN111160673A - Post-evaluation method and computing device for electric power construction project - Google Patents
Post-evaluation method and computing device for electric power construction project Download PDFInfo
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Abstract
The invention discloses a post-evaluation method for an electric power construction project, which is executed in computing equipment and comprises the following steps: the method comprises the following steps of creating a multi-level index system for evaluation after an electric power construction project, wherein one or more lower-level indexes are arranged under each level of index system, and each index has a corresponding weight, wherein the first-level indexes comprise at least one of project implementation process evaluation, project implementation effect evaluation, project economic benefit evaluation, project environment and social benefit evaluation and project sustainability evaluation; obtaining the score of the lowest-level index, and sequentially calculating the scores of other-level indexes according to the weight of each index so as to obtain the total score of the post-evaluation of the power construction project; and determining key indexes which have main influence factors on the superior indexes in the indexes of all levels according to the obtained total score and the scores of the indexes of all levels. The invention also discloses a computing device for executing the post-evaluation method of the electric power construction project.
Description
Technical Field
The invention relates to the field of power systems, in particular to a post-evaluation method and computing equipment for a power construction project.
Background
With the rapid increase of domestic economy, the demand of society for electric power is increasingly vigorous, the investment of infrastructure of a power grid is also increased, and the research on the evaluation of electric power construction projects such as power transmission and transformation project projects is also more and more necessary. In the post-evaluation method of the power construction project, an index system is generally required to be constructed and the weight of each index is determined. However, in the aspect of index system construction, the existing method has the problems of inconsistent scale, incomplete index and the like. After a plurality of power transmission and transformation projects, evaluation pays more attention to economic benefits, so that indexes below the economic benefits are more, and index repeated calculation is formed; and the indexes under social and environmental benefits are less, a lot of potential engineering influences are ignored, and the accuracy of the post-evaluation of the power transmission and transformation engineering is greatly influenced. In addition, the existing index system establishing method does not consider the possibility and accuracy of real calculation, and many qualitative indexes and unrealistic quantitative indexes are adopted, so that confusion is caused. Similar other aspects result in the existing index system construction technology to damage the comprehensiveness and reasonableness of the index system.
In addition, the existing post-evaluation weighting method for the electric power construction project mostly adopts a nine-scale analytic hierarchy process to determine the weight of each project index, namely, the importance degree of each level of index is divided into 9 levels, and then the weight of each index is calculated according to the importance degree. When a nine-scale analytic hierarchy process is applied, the difference of each index is difficult to distinguish by a decision maker, so that errors are easy to occur. In addition, the nine-scale analysis condition is more complex, and the matrix calculation is very complicated; the importance of each evaluation index is not very accurate in comparison, and nine scales are not only unnecessary, but also increase the complexity of calculation.
Disclosure of Invention
To this end, the present invention provides a new power construction project post-evaluation method and computing device in an attempt to solve, or at least alleviate, the above-identified problems.
According to one aspect of the invention, a post-construction evaluation method for an electric power construction project is provided, which is executed in a computing device and comprises the following steps: creating a multi-level index system for evaluation after the electric power construction project, wherein one or more subordinate indexes are arranged under each level of index system; for the indexes of the same level, respectively obtaining the importance degree of each index, and generating a judgment matrix according to the importance degree; calculating an optimal transfer matrix of the judgment matrix, converting the optimal transfer matrix into a consistency matrix of the judgment matrix, and calculating the weight of each index in the indexes at the same level according to the consistency matrix; and acquiring the score of the lowest-level index, and sequentially calculating the scores of other-level indexes according to the weight of each index so as to obtain the total score of the post-evaluation of the power construction project.
Optionally, in the method according to the invention, the multi-level index system is a four-level index system.
Optionally, in the method according to the present invention, the primary indicator includes at least one of a project implementation process evaluation, a project implementation effect evaluation, a project economic benefit evaluation, a project environment and social benefit evaluation, and a project sustainability evaluation.
Optionally, in the method according to the present invention, the secondary indicators under the project implementation process evaluation include at least one of a project early stage decision stage evaluation, a project preparation stage evaluation, a project construction implementation summary and an evaluation.
Optionally, in the method according to the present invention, the three-level indicators under the pre-project decision-making stage evaluation include at least one of planning stage evaluation, exploitable stage evaluation, enterprise decision-making stage evaluation and approval stage evaluation; the three-level indexes under the evaluation of the project preparation phase comprise at least one of primary design quality evaluation, expropriation removal and fund raising evaluation, purchase and bid inviting evaluation, contract making evaluation and preparation work evaluation before operation; the project construction implementation summary and evaluation comprises at least one of contract execution and management evaluation, design change evaluation, progress management evaluation, investment management evaluation, quality management evaluation, safety management evaluation, project supervision evaluation and completion acceptance evaluation.
Optionally, in the method according to the present invention, the secondary indicators under the evaluation of the project implementation effect include evaluation of project operation condition and/or evaluation of project skill level.
Optionally, in the method according to the present invention, the third-level index under the project operation condition evaluation includes at least one of a design capability standard-reaching evaluation, a production capability realization condition evaluation, an operation reliability index evaluation, and a project operation management evaluation; the three-level index under the project technical level evaluation comprises the advanced evaluation of the technology and/or the utilization condition evaluation of the resource.
Optionally, in the method according to the present invention, the secondary indicator under the project economic benefit evaluation includes at least one of a profitability analysis evaluation, a repayment ability analysis evaluation, and a risk coping ability analysis evaluation.
Optionally, in the method according to the present invention, the third-level index under the profitability analysis evaluation includes at least one of a financial internal rate of return evaluation, a financial net present value evaluation, a project investment recovery period evaluation, a total investment rate of return evaluation, and a capital fund net profit rate evaluation; the third-level indexes under the analysis and evaluation of the repayment capacity comprise interest rate evaluation and/or debt redemption rate evaluation; the third-level indexes under the analysis and evaluation of the risk coping ability comprise internal rate of return sensitivity evaluation and/or total investment rate of return sensitivity evaluation.
Optionally, in the method according to the present invention, the secondary indicators under the project environment and social benefit evaluation include the project environment benefit evaluation and/or the project social benefit evaluation.
Optionally, in the method according to the present invention, the three-level indicators under the project environmental benefit evaluation include environmental impact and compliance and/or environmental measures and achievement evaluation; the third-level index under the project social benefit evaluation comprises at least one of regional economic development evaluation promotion, industrial technology progress evaluation promotion, service user quality evaluation and benefit-related party benefit evaluation.
Optionally, in the method according to the invention, the secondary indicators under the project sustainability evaluation include a project sustainability evaluation and/or a contribution evaluation to enterprise development.
Optionally, in the method according to the present invention, the third-level index under the item sustainability evaluation includes an internal factor influence evaluation and/or an external factor influence evaluation; the three-level indexes under the contribution evaluation of the enterprise development comprise at least one of contribution evaluation to an enterprise management level, contribution evaluation to an enterprise engineering technical level and contribution evaluation to enterprise economic benefits.
Optionally, in the method according to the present invention, further comprising: and determining key indexes which have main influence factors on the superior indexes in the indexes of all levels according to the obtained total score and the scores of the indexes of all levels.
Alternatively, in the method according to the present invention, the step of sequentially calculating the scores of the other indexes according to the weight of each index, and further obtaining the total score of the post-evaluation of the power construction project includes: calculating the score of the corresponding third-level evaluation index according to the weight of each fourth-level evaluation index, and calculating the score of the corresponding second-level evaluation index according to the weight of each third-level evaluation index; and calculating the score corresponding to the primary evaluation index according to the weight of each secondary evaluation index, and calculating the total evaluation score of the electric power construction project according to the weight of each primary evaluation index.
According to an aspect of the invention, there is provided a computing device comprising: at least one processor; and a memory storing program instructions, wherein the program instructions are configured to be executed by the at least one processor, the program instructions comprising instructions for performing the post-construction electric power project assessment method as described above.
According to an aspect of the present invention, there is provided a readable storage medium storing program instructions that, when read and executed by a computing device, cause the computing device to execute the post-construction-project power evaluation method as described above.
According to the technical scheme, a four-level index system is established for the power transmission project according to the contents to be analyzed and researched by a post-project evaluation management framework system and the principles of comprehensiveness, scientificity, feedback, qualitative and quantitative combination and the like according to the post-project evaluation project, and the full life cycle theory of the project, and the four-level index is respectively weighted by adopting an improved hierarchical analysis weighting method. And finally, accurately and perfectly carrying out post-engineering evaluation work aiming at the power transmission and transformation engineering by combining with the grading.
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To the accomplishment of the foregoing and related ends, certain illustrative aspects are described herein in connection with the following description and the annexed drawings, which are indicative of various ways in which the principles disclosed herein may be practiced, and all aspects and equivalents thereof are intended to be within the scope of the claimed subject matter. The above and other objects, features and advantages of the present disclosure will become more apparent from the following detailed description read in conjunction with the accompanying drawings. Throughout this disclosure, like reference numerals generally refer to like parts or elements.
FIG. 1 shows a block diagram of a computing device 100, according to one embodiment of the invention; and
fig. 2 shows a schematic diagram of a post-construction evaluation method 200 for an electric power construction project according to an embodiment of the present invention.
Detailed Description
Exemplary embodiments of the present disclosure will be described in more detail below with reference to the accompanying drawings. While exemplary embodiments of the present disclosure are shown in the drawings, it should be understood that the present disclosure may be embodied in various forms and should not be limited to the embodiments set forth herein. Rather, these embodiments are provided so that this disclosure will be thorough and complete, and will fully convey the scope of the disclosure to those skilled in the art.
Fig. 1 is a block diagram of an example computing device 100. In a basic configuration 102, computing device 100 typically includes system memory 106 and one or more processors 104. A memory bus 108 may be used for communication between the processor 104 and the system memory 106.
Depending on the desired configuration, the processor 104 may be any type of processing, including but not limited to: a microprocessor (μ P), a microcontroller (μ C), a Digital Signal Processor (DSP), or any combination thereof. The processor 104 may include one or more levels of cache, such as a level one cache 110 and a level two cache 112, a processor core 114, and registers 116. The example processor core 114 may include an Arithmetic Logic Unit (ALU), a Floating Point Unit (FPU), a digital signal processing core (DSP core), or any combination thereof. The example memory controller 118 may be used with the processor 104, or in some implementations the memory controller 118 may be an internal part of the processor 104.
Depending on the desired configuration, system memory 106 may be any type of memory, including but not limited to: volatile memory (such as RAM), non-volatile memory (such as ROM, flash memory, etc.), or any combination thereof. System memory 106 may include an operating system 120, one or more applications 122, and program data 124. In some embodiments, application 122 may be arranged to operate with program data 124 on an operating system. The program data 124 comprises instructions, and in the computing device 100 according to the invention the program data 124 comprises instructions for performing the post-power construction project assessment 200.
Computing device 100 may also include an interface bus 140 that facilitates communication from various interface devices (e.g., output devices 142, peripheral interfaces 144, and communication devices 146) to the basic configuration 102 via the bus/interface controller 130. The example output device 142 includes a graphics processing unit 148 and an audio processing unit 150. They may be configured to facilitate communication with various external devices, such as a display or speakers, via one or more a/V ports 152. Example peripheral interfaces 144 may include a serial interface controller 154 and a parallel interface controller 156, which may be configured to facilitate communication with external devices such as input devices (e.g., keyboard, mouse, pen, voice input device, touch input device) or other peripherals (e.g., printer, scanner, etc.) via one or more I/O ports 158. An example communication device 146 may include a network controller 160, which may be arranged to facilitate communications with one or more other computing devices 162 over a network communication link via one or more communication ports 164.
A network communication link may be one example of a communication medium. Communication media may typically be embodied by computer readable instructions, data structures, program modules, and may include any information delivery media, such as carrier waves or other transport mechanisms, in a modulated data signal. A "modulated data signal" may be a signal that has one or more of its data set or its changes made in such a manner as to encode information in the signal. By way of non-limiting example, communication media may include wired media such as a wired network or private-wired network, and various wireless media such as acoustic, Radio Frequency (RF), microwave, Infrared (IR), or other wireless media. The term computer readable media as used herein may include both storage media and communication media.
Computing device 100 may be implemented as a server, such as a file server, a database server, an application server, a WEB server, etc., or as part of a small-form factor portable (or mobile) electronic device, such as a cellular telephone, a Personal Digital Assistant (PDA), a personal media player device, a wireless WEB-watch device, a personal headset device, an application specific device, or a hybrid device that include any of the above functions. Computing device 100 may also be implemented as a personal computer including both desktop and notebook computer configurations. In some embodiments, the computing device 100 is configured to execute a post-construction project assessment method 200 of electrical power according to the present invention.
Fig. 2 shows a schematic diagram of a post-construction evaluation method 200 for an electric power construction project according to an embodiment of the present invention. The method is adapted to be resident in the computing device 100 for execution.
As shown in fig. 2, the method is adapted to step S220. In step S220, a multi-level index system for post-evaluation of the electric power construction project is created, and each level of index system has one or more lower-level indexes. According to one embodiment, the multi-level index system may be a four-level index system. The primary indexes comprise at least one of project implementation process evaluation, project implementation effect evaluation, project economic benefit evaluation, project environment and social benefit evaluation and project sustainability evaluation.
According to one embodiment, the secondary indexes under the project implementation process evaluation comprise at least one of project early stage decision stage evaluation, project preparation stage evaluation, project construction implementation summary and evaluation. The three-level indexes under the evaluation of the project early-stage decision-making stage comprise at least one of planning stage evaluation, research stage evaluation, enterprise decision-making stage evaluation and approval stage evaluation. The three-level indexes under the project preparation stage evaluation comprise at least one of primary design quality evaluation, expropriation removal and fund raising evaluation, purchase and bid inviting evaluation, contract making evaluation and preparation work evaluation before operation. The project construction implementation summary and evaluation comprises at least one of contract execution and management evaluation, design change evaluation, progress management evaluation, investment management evaluation, quality management evaluation, safety management evaluation, project supervision evaluation and completion acceptance evaluation.
According to one embodiment, the secondary indexes under the project implementation effect evaluation comprise project operation condition evaluation and/or project technical level evaluation. The three-level index under the project operation condition evaluation comprises at least one of design capability standard-reaching evaluation, production capability realization condition evaluation, operation reliability index evaluation and project operation management evaluation. The three-level index under the project technical level evaluation comprises the advanced evaluation of the technology and/or the utilization condition evaluation of the resource.
According to one embodiment, the secondary indicators under the economic benefit evaluation of the project comprise at least one of a profitability analysis evaluation, a repayment ability analysis evaluation and a risk handling ability analysis evaluation. And the third-level indexes under the profit capacity analysis and evaluation comprise at least one of financial internal profit rate evaluation, financial net present value evaluation, project investment recovery period evaluation, total investment profit rate evaluation and fund net profit rate evaluation. The third level indicators under the analysis and evaluation of the repayment ability comprise interest rate evaluation and/or repayment rate evaluation. The third-level indexes under the analysis and evaluation of the risk coping ability comprise internal rate of return sensitivity evaluation and/or total investment rate of return sensitivity evaluation.
According to one embodiment, the secondary indicators under the project environment and social benefit evaluation comprise the project environment benefit evaluation and/or the project social benefit evaluation. The three-level indexes under the project environmental benefit evaluation comprise environmental influence and standard reaching conditions and/or environmental protection measures and achievement evaluation. The third-level index under the project social benefit evaluation comprises at least one of regional economic development evaluation promotion, industrial technology progress evaluation promotion, service user quality evaluation and benefit-related party benefit evaluation.
According to one embodiment, the secondary indicators under the project sustainability evaluation include project sustainability evaluation and/or contribution evaluation to enterprise development. Wherein, the three-level indexes under the project sustainable ability evaluation comprise internal factor influence evaluation and/or external factor influence evaluation. The three-level indexes under the contribution evaluation of the enterprise development comprise at least one of contribution evaluation to an enterprise management level, contribution evaluation to an enterprise engineering technical level and contribution evaluation to enterprise economic benefits.
A plurality of four-level indexes are still divided under each three-level index, and specific reference can be made to the explanation of each level index in table 1 and the contained lower-level indexes. It should be understood that each upper level indicator may include all of the corresponding lower level indicators listed in table 1, or may include only a portion of the lower level indicators. The four-level indicators as included in the three-level indicator planning stage evaluation include at least one of a plan consistency rate, a plan design depth and integrity, and a plan project responsiveness. The calculation method of each four-level index can be calculated with reference to table 1, and is not described herein again. If all indexes in table 1 are included in the index system, the index system established in the present application includes 5 first-level indexes, 12 second-level indexes, 43 third-level indexes, and 60 fourth-level indexes.
TABLE 1 post-evaluation index system for electric power construction projects
The method is characterized in that on the basis of determining the post-evaluation principle of the electric power construction project, an electric power construction project post-evaluation management system which comprises project implementation process evaluation, project implementation effect evaluation, project economic benefit evaluation, project environment and social benefit evaluation and project sustainability evaluation is constructed, and an optimal and most appropriate evaluation method is selected by combining characteristics and post-evaluation contents of the electric power construction project.
Subsequently, in step S240, for the indexes of the same hierarchy, the importance degrees of the indexes are acquired, respectively, and a determination matrix is generated according to the importance degrees.
Subsequently, in step S260, an optimal transfer matrix of the determination matrix is calculated, the optimal transfer matrix is converted into a consistency matrix of the determination matrix, and the weight of each index in the same level of index is calculated according to the consistency matrix.
The designed post-evaluation index system for the electric power construction project not only comprises quantitative indexes and qualitative indexes, but also has multilevel properties. Therefore, the invention adopts the improved analytic hierarchy process to weight each index in turn, and the improved analytic hierarchy process has obvious advantages in the aspect of processing the problem of multi-level and qualitative and quantitative combination. The improved analytic hierarchy process can avoid some defects of other methods, such as fuzzy mathematic method, artificial neural network method and the like. Compared with the traditional analytic hierarchy process, the method is mainly improved in two aspects of formation of a judgment matrix and consistency check. Through an improved analytic hierarchy process, the weight value of the overall work can be evaluated after each index in an index system is relatively extracted, and the quality of the evaluation result after the engineering can be judged through scoring.
In the process of judging the generation of the matrix, for the evaluation indexes of the same level, the invention establishes an important, equally important and unimportant 3-scale method, namely, only the importance of elements needs to be compared, and the importance degree of the elements does not need to be compared, so that the matrix is more visual, the calculation of a consistency matrix is facilitated, the subsequent calculation can be simplified, and the importance degree of the indexes is easier to determine and distinguish. Specifically, the importance degree of each index evaluated by the expert can be obtained, and a judgment matrix A is formed according to the importance degree (a)ij)m×n。
Wherein: when i ≠ j, aijIs the value of the i element compared with the j element; the value is 1 if the i element is more important than the j element, otherwise it is-1. When i ═ j, it is equally important to specify that each element is relative to itself, i.e. aii0, which is a comparison of the element itself.
A decision matrix A can be constructed by comparing the above formula with the importance of each index, and the matrix A is definitely an antisymmetric matrix according to the definition of the antisymmetric matrix, and the matrix scale is determined by the number of indexes. And A is an antisymmetric matrix, the optimal transfer matrix B of A satisfies
Then A*＝eBIt is a fully consistent matrix of a and thus matrix B can be converted to a fully consistent matrix a. The consistency matrix A furthest ensures the information of the matrix A and certainly meets the consistency requirement.
Wherein
On the basis, the calculation of the weight value can be carried out, and the weight value is a numerical value which represents the importance degree of the element of the current layer relative to the element of the previous layer. The weighted value can be solved by the problem of calculating the maximum characteristic root and the characteristic vector of the matrix. The eigenvector of the general consistency matrix is the weight vector of each index, and the weight of each index can be obtained by calculating the maximum eigenvalue of the consistency matrix and the corresponding eigenvector. The feature vectors corresponding to the feature roots of the consistency matrix A meet the condition that A, W and lambda W are the feature vectors; λ is the characteristic root. The invention adopts a square root method to obtain the eigenvector corresponding to the maximum eigenvalue. Firstly, the n-th square root of the product of elements in each row of the consistency matrix is calculated
Wherein the content of the first and second substances,
is the n-th root of the product of the elements in row i.
After the product of each row element is processed by the square root for n times, it is recorded as a vector
Will be provided with
Normalization processing to obtain
Wherein the content of the first and second substances,
is the n-th root of the product of the j-th column elements. W ═ W1,W2,…,Wn]TThat is, the eigenvector corresponding to the maximum eigenvalue λ, i.e., the weight value.
The influence factor weights of different levels are calculated according to the improved analytic hierarchy process provided by the invention. Firstly, the weight of each first-level index is compared with the importance of each index according to an index system provided in table 1 to obtain a corresponding judgment matrix shown in table 2, consistency check is performed on all the judgment matrices, and a check result shows that all the matrices meet the consistency requirement.
TABLE 2 comparison of importance of the first-order indices in the index System
As can be seen from Table 2, the element is aijFive primary indexes U of1～U5Is determined by the matrix A1Comprises the following steps:
transforming to generate judgment matrix A1Optimal transfer matrix B1Elements thereof
Where n is the decision matrix A1Order of (1) and due to A1Is an antisymmetric matrix, has a property aij＝-aji。
This makes it possible to obtain:
in the same way, the method can obtain,
from this, the optimal transfer matrix B1Also an antisymmetric matrix, with property bij＝-bji。
In the same way, the method for preparing the composite material,
because of the optimal transfer matrix B1Is an antisymmetric matrix, so B1Comprises the following steps:
for the optimal transfer matrix B1Performing transformation to generate a consistency matrix
Elements thereof
Computing a consistency matrix
The square root of the product of the elements of each row of n
Then there are:
in the same way, the method for preparing the composite material,
then, a consistency matrix is calculated
The square root of the product of each row of elements
Sum of
Will be provided with
Normalizing to obtain each index weight WiThe calculation formula of normalization processing is as follows:
thus, the method can obtain the product,
in the same way, the following results can be obtained:
in summary, the weight of the five primary indexes of the project implementation process evaluation, the project implementation effect evaluation, the project economic benefit evaluation, the project environment and social benefit evaluation and the project sustainability evaluation is (0.38, 0.26, 0.17, 0.11, 0.08).
For the weight calculation of each secondary index, the importance degree of the index of the same level is also obtained and compared to obtain tables 3-7, and the weight of each index can be obtained by calculation according to the similar method, as shown in table 8. It should be understood that the degree of importance of the index of the same level may be obtained by obtaining the degree of importance given by the expert for comparison after the standard division is given by the expert.
TABLE 3 comparison of importance of the evaluation of the implementation Process
Table 4 item importance comparison of effect evaluation
| Project implementation effect U2 | Project operation situation U21 | Project technical level U22 |
| Project operation situation U21 | 0 | 1 |
| Project technical level U22 | -1 | 0 |
TABLE 5 item importance comparison for economic benefit evaluation
| Project economic benefit U3 | Profitability analysis U31 | Repayment ability analysis U32 | Risk handling capability U33 |
| Profitability analysis U31 | 0 | 1 | 1 |
| Repayment ability analysis U32 | -1 | 0 | 1 |
| Risk handling capacity analysis U33 | -1 | -1 | 0 |
TABLE 6 comparison of importance of project environmental and social benefit evaluations
| Project environment and social benefits U4 | Project environmental benefit evaluation U41 | Project social benefit evaluation U42 |
| Project environmental benefit evaluation U41 | 0 | -1 |
| Project social benefit evaluation U42 | 1 | 0 |
TABLE 7 item sustainability evaluation importance comparison
| Project sustainability U5 | Project sustainability U51 | Contribution evaluation to enterprise development U52 |
| Project sustainable ability evaluation U51 | 0 | 1 |
| Contribution evaluation to enterprise development U52 | -1 | 0 |
TABLE 8 secondary index weight table
Taking project economic benefit U3 as an example, the element is a in Table 5ijSecond level index U of31,U32,U33Is determined by the matrix A2Comprises the following steps:
transforming to generate optimal transfer matrix B2Elements thereof
Where n is the decision matrix A2The order of (a). And because of A2Is an antisymmetric matrix, has a property aij＝-aji. Thus, b isij＝-bji. I.e. the optimal transfer matrix B2Also an anti-symmetric matrix. In this way,
from the property of the antisymmetric matrix, B2Is composed of
For the optimal transfer matrix B2Performing transformation to generate a consistency matrix
Elements thereof
Computing a consistency matrix
The square root of the product of the elements of each row of n
Then
Computing a consistency matrix
The square root of the product of each row of elements
Sum of
Will be provided with
Normalizing to obtain each index weight WiThe calculation formula of normalization processing is as follows:
can be substituted to obtain
Therefore U31,U32,U33The weights are (0.56, 0.29, 0.15)
The weight calculation method of the three-level indexes is similar to the weight calculation of the two-level indexes, the priority judgment matrix is obtained by comparing the importance of each three-level index, but the importance comparison is not shown because the three-level indexes are complex and are limited to space, and the weight of the three-level indexes can be calculated according to the similar method as shown in table 9. Similarly, the weights of the four levels of indicators can be obtained, and are not described herein again, and the specific values thereof will be shown in table 10.
TABLE 9 Tertiary index weight table
Subsequently, in step S280, the score of the lowest-level index is acquired, and the scores of the indexes of the other levels are sequentially calculated according to the weight of each index, thereby obtaining the total score of the post-evaluation of the power construction project.
As described above, the index system may be a four-level index system, and in this case, the score corresponding to the three-level evaluation index may be calculated according to the weight of each four-level evaluation index, and the score corresponding to the two-level evaluation index may be calculated according to the weight of each three-level evaluation index; and calculating a score corresponding to the primary evaluation index according to the weight of each secondary evaluation index, and calculating a total evaluation score after the electric power construction project according to the weight of each primary evaluation index.
Specifically, the scores of the four-level indexes are calculated according to a four-level index calculation method in table 1, and then the scores of the four-level indexes belonging to the same one-level index are multiplied by corresponding weights, and the scores of the three-level indexes belonging to the four-level indexes are obtained through summation. And then multiplying the scores of the three-level indexes by corresponding weights, and summing to obtain the scores of the second-level indexes to which the three-level indexes belong. The scores of the primary indexes to which the secondary indexes belong can be obtained by the same method. And multiplying the scores of all the first-level indexes by the corresponding weights, and summing to obtain the total evaluation score after the items are obtained. It should be understood that the third-level and fourth-level indexes of some items in table 1 are the same index, and at this time, the lowest-level index thereof may be considered as the third-level index, i.e., the score of the corresponding second-level index may be directly calculated on the basis of these third-level indexes.
For example, in the post-project evaluation of a certain power construction project, the score of the project third-fourth-level index is shown in table 10, and the score and the total score of the project first-second-level index are shown in table 11. The method comprises the steps of firstly, calculating scores corresponding to three-level indexes according to the four-level indexes, and summing the scores of all the four-level indexes under the three-level indexes after multiplying the scores by weights. For the three-level index planning stage evaluation U111, three four-level indexes are provided thereunder, and the three-level index score is 95.56 × 0.29+100 × 0.15+99.99 × 0.56 — 98.71. And for the early decision stage U11 of the secondary index project, which has four tertiary indexes, the score of the secondary index is 98.71 × 0.46+84.35 × 0.28+100 × 0.10+100 × 0.17-96.02. Further, the primary index project implementation process evaluation U1 has three secondary indexes, and the primary index score is 96.02 × 0.15+96.61 × 0.29+84.04 × 0.56 — 87.72. Similarly, a total project score of 92.01 can be obtained. A total score rating criteria for the item is established in advance, the total score for the item being ranked as excellent.
TABLE 10 three-level and four-level index scoring table for certain power construction project
TABLE 11 Overall evaluation Table for certain electric power construction project
According to one embodiment of the present invention, key indexes that have a main influence on the upper-level indexes in the indexes of each level, such as a first-level index that mainly influences the total score, a second-level index that mainly influences the first-level index, and the like, are determined according to the obtained total score and the scores of the indexes of each level. In the above example, the low score of U1 is caused by the influence of the pre-project decision stage (U11), the project preparation stage (U12) and the project construction implementation summary and evaluation (U13) in the corresponding secondary indexes; however, U11 is affected by the evaluation of the available research stage (U112), U12 is affected by the quality of the preliminary design (U121) and the evaluation of contract (U124), and U13 is affected by the design change U132, the progress management evaluation U133, and the investment management evaluation U134. On a secondary basis, the primary four-rank indicator that resulted in the lower score for U112 may be further evaluated and will not be further described herein.
According to the technical scheme of the invention, a scientific and comprehensive post-evaluation index system for the power transmission and transformation project is established, the principles of comprehensiveness, scientificity, feedback, qualitative and quantitative combination and the like are followed, the project life cycle theory is combined, the factors of the project and the external influence conditions on the society, the environment and the like are comprehensively considered, 5 primary indexes, 12 secondary indexes, 43 tertiary indexes and 60 quaternary indexes are established, and the index system is quite complete. When the indexes are scored, the scoring method has comprehensive consideration factors, mutual complementation of qualitative and quantitative indexes and clear calculation method. For the grading of qualitative indexes, the grading method provides three different grading modes aiming at different types of indexes. And for the scoring of the quantitative indexes, the calculation method is quick and accurate, and has universality. The method combining the qualitative and quantitative methods improves the reasonability and scientificity of the scoring method, and makes the scoring more rigorous and more detailed. In addition, the weighting method of the invention adopts an improved analytic hierarchy process which is simpler and more convenient to calculate and more fit with the actual situation. The improved three-scale method in the analytic hierarchy process is beneficial to reducing the influence of subjective factors of evaluators, and endowing the results with weights, so that the final evaluation result is more objective and accurate. In addition, the method can effectively reduce the evaluation workload of evaluators, and effectively reduce the error occurrence probability, and the empowerment method is mainly improved in two aspects of the formation of a judgment matrix and the verification of consistency. Through an improved analytic hierarchy process, the weight value of the whole work can be evaluated after each index in an index system is relatively extracted.
A9, the method of A8, wherein the tertiary measures under profitability analysis evaluation include at least one of financial internal rate of return evaluation, financial net present value evaluation, project return on investment evaluation, total return on investment evaluation, and fund net profit evaluation; the third-level indexes under the analysis and evaluation of the repayment capacity comprise interest rate evaluation and/or debt redemption rate evaluation; the third-level indexes under the analysis and evaluation of the risk coping ability comprise internal rate of return sensitivity evaluation and/or total investment rate of return sensitivity evaluation. A10, the method according to any one of A1-A9, wherein the secondary indicators under the evaluation of project environment and social benefit comprise the evaluation of project environment benefit and/or the evaluation of project social benefit. A11, the method of A10, wherein the three-level indexes under the project environmental benefit evaluation include environmental impact and standard reaching situation and/or environmental protection measure and achievement evaluation; the third-level index under the project social benefit evaluation comprises at least one of regional economic development evaluation promotion, industrial technology progress evaluation promotion, service user quality evaluation and benefit-related party benefit evaluation. A12, the method of any one of A1-A11, wherein the secondary indicators under the project sustainability evaluation include project sustainability evaluation and/or contribution evaluation to enterprise development. A13, the method as in A12, wherein the three-level indexes under the item sustainable ability evaluation comprise internal factor influence evaluation and/or external factor influence evaluation; the three-level indexes under the contribution evaluation of the enterprise development comprise at least one of contribution evaluation to an enterprise management level, contribution evaluation to an enterprise engineering technical level and contribution evaluation to enterprise economic benefits. A14, the method of a1, further comprising: and determining key indexes which have main influence factors on the superior indexes in the indexes of all levels according to the obtained total score and the scores of the indexes of all levels. The method of a15 or a2, wherein the step of sequentially calculating the scores of the other-level indexes according to the weight of each index, and obtaining the total score of the post-evaluation of the power construction project includes: calculating the score of the corresponding third-level evaluation index according to the weight of each fourth-level evaluation index, and calculating the score of the corresponding second-level evaluation index according to the weight of each third-level evaluation index; and calculating the score corresponding to the primary evaluation index according to the weight of each secondary evaluation index, and calculating the total evaluation score of the electric power construction project according to the weight of each primary evaluation index.
In the description provided herein, numerous specific details are set forth. It is understood, however, that embodiments of the invention may be practiced without these specific details. In some instances, well-known methods, structures and techniques have not been shown in detail in order not to obscure an understanding of this description.
Similarly, it should be appreciated that in the foregoing description of exemplary embodiments of the invention, various features of the invention are sometimes grouped together in a single embodiment, figure, or description thereof for the purpose of streamlining the disclosure and aiding in the understanding of one or more of the various inventive aspects. However, the disclosed method should not be interpreted as reflecting an intention that: that the invention as claimed requires more features than are expressly recited in each claim. Rather, as the following claims reflect, inventive aspects lie in less than all features of a single foregoing disclosed embodiment. Thus, the claims following the detailed description are hereby expressly incorporated into this detailed description, with each claim standing on its own as a separate embodiment of this invention.
Those skilled in the art will appreciate that the modules or units or components of the devices in the examples disclosed herein may be arranged in a device as described in this embodiment or alternatively may be located in one or more devices different from the devices in this example. The modules in the foregoing examples may be combined into one module or may be further divided into multiple sub-modules.
Those skilled in the art will appreciate that the modules in the device in an embodiment may be adaptively changed and disposed in one or more devices different from the embodiment. The modules or units or components of the embodiments may be combined into one module or unit or component, and furthermore they may be divided into a plurality of sub-modules or sub-units or sub-components. All of the features disclosed in this specification (including any accompanying claims, abstract and drawings), and all of the processes or elements of any method or apparatus so disclosed, may be combined in any combination, except combinations where at least some of such features and/or processes or elements are mutually exclusive. Each feature disclosed in this specification (including any accompanying claims, abstract and drawings) may be replaced by alternative features serving the same, equivalent or similar purpose, unless expressly stated otherwise.
Furthermore, those skilled in the art will appreciate that while some embodiments described herein include some features included in other embodiments, rather than other features, combinations of features of different embodiments are meant to be within the scope of the invention and form different embodiments. For example, in the claims, any of the claimed embodiments may be used in any combination.
Furthermore, some of the described embodiments are described herein as a method or combination of method elements that can be performed by a processor of a computer system or by other means of performing the described functions. A processor having the necessary instructions for carrying out the method or method elements thus forms a means for carrying out the method or method elements. Further, the elements of the apparatus embodiments described herein are examples of the following apparatus: the apparatus is used to implement the functions performed by the elements for the purpose of carrying out the invention.
As used herein, unless otherwise specified the use of the ordinal adjectives "first", "second", "third", etc., to describe a common object, merely indicate that different instances of like objects are being referred to, and are not intended to imply that the objects so described must be in a given sequence, either temporally, spatially, in ranking, or in any other manner.
While the invention has been described with respect to a limited number of embodiments, those skilled in the art, having benefit of this description, will appreciate that other embodiments can be devised which do not depart from the scope of the invention as described herein. Furthermore, it should be noted that the language used in the specification has been principally selected for readability and instructional purposes, and may not have been selected to delineate or circumscribe the inventive subject matter. Accordingly, many modifications and variations will be apparent to those of ordinary skill in the art without departing from the scope and spirit of the appended claims. The present invention has been disclosed in an illustrative rather than a restrictive sense with respect to the scope of the invention, as defined in the appended claims.
Claims (10)
1. A post-construction project power assessment method, performed in a computing device, the method comprising:
creating a multi-level index system for evaluation after the electric power construction project, wherein one or more subordinate indexes are arranged under each level of index system;
for the indexes of the same level, respectively obtaining the importance degree of each index, and generating a judgment matrix according to the importance degree;
calculating an optimal transfer matrix of the judgment matrix, converting the optimal transfer matrix into a consistency matrix of the judgment matrix, and calculating the weight of each index in the indexes of the same level according to the consistency matrix; and
and obtaining the score of the lowest-level index, and sequentially calculating the scores of other-level indexes according to the weight of each index so as to obtain the total score of the post-evaluation of the power construction project.
2. The method of claim 1, wherein the multi-level index system is a four-level index system.
3. The method of claim 1, wherein the primary indicators comprise at least one of project implementation process evaluations, project implementation effectiveness evaluations, project economic benefits evaluations, project environment and social benefits evaluations, and project sustainability evaluations.
4. The method of any one of claims 1-3, wherein the secondary indicators under the project implementation process evaluation include at least one of a project early stage decision stage evaluation, a project preparation stage evaluation, a project construction implementation summary and an evaluation.
5. The method of claim 4, wherein,
the three-level indexes under the evaluation of the project early-stage decision-making stage comprise at least one of planning stage evaluation, research stage evaluation, enterprise decision-making stage evaluation and approval stage evaluation;
the three-level indexes under the evaluation of the project preparation phase comprise at least one of primary design quality evaluation, expropriation removal and fund raising evaluation, purchase and bid inviting evaluation, contract making evaluation and preparation work evaluation before operation;
the project construction implementation summary and evaluation comprises at least one of contract execution and management evaluation, design change evaluation, progress management evaluation, investment management evaluation, quality management evaluation, safety management evaluation, project supervision evaluation and completion acceptance evaluation.
6. The method of any one of claims 1-5, wherein the secondary indicators under the project implementation effectiveness evaluation comprise project operation condition evaluation and/or project skill level evaluation.
7. The method of claim 6, wherein,
the three-level indexes under the project operation condition evaluation comprise at least one of design capacity standard-reaching evaluation, production capacity realization condition evaluation, operation reliability index evaluation and project operation management evaluation;
the three-level index under the project technical level evaluation comprises the advanced evaluation of the technology and/or the utilization condition evaluation of the resource.
8. The method of any one of claims 1-7, wherein the secondary indicators under the project economic benefit evaluation include at least one of a profitability analysis evaluation, a repayment ability analysis evaluation, and a risk handling ability analysis evaluation.
9. A computing device, comprising:
at least one processor; and
a memory storing program instructions configured for execution by the at least one processor, the program instructions comprising instructions for performing the method of any of claims 1-8.
10. A readable storage medium storing program instructions that, when read and executed by a computing device, cause the computing device to perform the method of any of claims 1-8.
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