CN117436725A - Capital construction project investment benefit ordering method - Google Patents
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Abstract
The invention discloses a capital construction project investment benefit ordering method. The capital construction project investment benefit ordering method comprises the following steps: acquiring a first classification category; acquiring a second elastic classification class; acquiring investment benefit data; and calculating the investment benefit score. According to the invention, the corresponding economic benefit score is calculated through the obtained economic benefit data of each elastic foundation project, the corresponding safety benefit score is calculated according to the safety benefit type, the corresponding social benefit score is calculated according to the social benefit archiving matrix, the corresponding comprehensive benefit score is obtained by combining the calculated project type weight, the efficiency comprehensive adjustment coefficient of each region is obtained according to the radar map method, the investment benefit score is generated, and finally the effect of improving the accuracy of the investment benefit sequencing of the foundation projects is achieved according to the investment benefit score sequencing, and the problem of low accuracy of the investment benefit sequencing of the foundation projects in the prior art is solved.
Description
Technical Field
The invention relates to the technical field of investment decision making, in particular to a method for sorting investment benefits of a capital construction project.
Background
The investment of large and medium-sized power grid infrastructure projects is used as the most main investment part of power grid companies, and the investment benefit directly influences the benefit and the operation level of the companies. And reasonable investment sequencing is carried out on a plurality of projects to be built under limited funds so as to maximize economic benefit and social benefit of power grid investment, and it is important to research a set of investment decision sequencing methods which comprise evaluation indexes, quantitative assessment methods, evaluation standards and the like and have high integrity. The cost-saving and efficiency-inquiring 'effect' comprises three aspects of benefit, efficiency and efficiency, wherein the benefit refers to economic benefit, social benefit and safety benefit, the efficiency is used for measuring the investment input and output relation of each ground power network, and the efficiency is used for measuring the effectiveness of management activities in the investment process.
In the prior art, the evaluation of economic benefit is carried out in a rating mode, and belongs to a typical qualitative evaluation-based method; the evaluation of the safety benefit adopts a classification qualitative mode; the social benefit is measured by quantitative and qualitative indexes, and the qualitative indexes are the main.
For example, publication No.: an investment success assessment method for a power grid infrastructure project of an invention patent published application of CN111080075A comprises the following steps: establishing a power grid infrastructure project database; establishing a comprehensive evaluation index system of a power grid infrastructure project; establishing a power grid infrastructure project investment success assessment system; and establishing a verification module and a data output module.
For example, bulletin numbers: the invention patent of CN109325659B discloses a new method for ordering investment in power grid construction projects, which comprises the following steps: constructing a comprehensive evaluation index system of investment ordering of each project to be built in a new electricity changing environment, wherein the comprehensive evaluation index system comprises qualitative indexes and quantitative indexes; quantifying the qualitative index by a fuzzy number method, describing and calculating the quantitative index by the interval number; carrying out normalization processing on each index data by adopting linear transformation of 'prize and fine'; determining optimal and worst ideal schemes according to the qualitative index and the quantitative index; calculating the closeness degree of each index normalized value and ideal points in the optimal and worst ideal schemes by adopting a gray correlation method; based on a foreground theory, determining a cost function and decision weights according to an optimal ideal scheme and a worst ideal scheme, and calculating the comprehensive foreground value of each item to be built; and carrying out investment sequencing on each project to be built according to the comprehensive prospect value.
However, in the process of implementing the technical scheme of the invention in the embodiment of the application, the inventor of the application finds that at least the following technical problems exist in the above technology:
in the prior art, a rating method is used for evaluating economic benefits under the condition that a plurality of projects are in the same gear, and qualitative and quantitative auxiliary methods are used for evaluating social benefits, so that the types and the benefits of the social benefits are ignored, the investment benefits of the projects cannot be accurately evaluated, and the problem of low accuracy of ranking the investment benefits of the foundation projects exists.
Disclosure of Invention
The method for sorting the investment benefits of the foundation projects solves the problem of low accuracy of sorting the investment benefits of the foundation projects in the prior art, and improves the accuracy of sorting the investment benefits of the foundation projects.
The embodiment of the application provides a method for ordering investment benefits of a foundation project, which is used for a server and comprises the following steps: classifying each foundation project to be sequenced according to the elasticity degree to obtain a first classification category, and adding a corresponding label to the first classification category, wherein the first classification category comprises an elastic foundation project and a rigid foundation project; reclassifying the elastic foundation projects, obtaining a second elastic classification category and adding corresponding labels, wherein the second elastic classification category comprises a safety lifting type elastic foundation project, a development matching type elastic foundation project and a demand driving type elastic foundation project; analyzing the second elastic classification category to obtain corresponding investment benefit data; and constructing an investment benefit score model according to the investment benefit data, calculating an investment benefit score by the investment benefit score model, and sequencing the second elastic classification categories according to the order of the investment benefit score from high to low until the elastic foundation project investment limit is zero, wherein the elastic foundation project investment limit is obtained through the rigid foundation project investment limit.
In the above scheme, the method for calculating the comprehensive benefit score comprises the following steps: and obtaining the weight of the economic benefit, the safety benefit and the social benefit corresponding to the second elastic classification category by a coefficient of variation method, and calculating the comprehensive benefit score.
In the above scheme, the economic benefit score is an economic benefit weight of the second elastic classification category according to a coefficient of variation method, wherein the economic benefit weight comprises a unit investment power increasing amount weight and an engineering unit investment cost advanced degree weight; and calculating the economic benefit score of the second elastic classification class through a formula by combining the unit investment increment power data of the second elastic classification class and the engineering unit investment cost advanced degree data.
In the above scheme, the specific acquisition process of the unit investment increment power data and the engineering unit investment cost advanced degree data is as follows: acquiring annual average electric quantity data expected to be increased in a preset time period after the project corresponding to the second elastic classification category is built and annual fixed asset recovery limit data, and obtaining unit investment increase electric quantity data of the elastic foundation project according to the ratio of the annual average electric quantity data and the annual fixed asset recovery limit data; and obtaining unit investment cost level data and unit investment cost average level data of the second elastic classification category, and obtaining engineering unit investment cost advanced degree data of the elastic foundation project according to the ratio of the difference value of the unit investment cost level data and the unit investment cost level data.
In the above scheme, the specific calculation process of the social benefit score is as follows: the second elastic classification category is archived according to four aspects of improvement benefit of a commercial environment, improvement benefit of a civilian life, development benefit of green and cooperation benefit in combination with a social benefit archiving matrix, and social benefit improvement scores of the second elastic classification category are obtained, wherein the social benefit improvement scores comprise the improvement benefit score of the commercial environment, the improvement benefit score of the civilian life, the development benefit score of green and the cooperation benefit score; according to the CRITCI method, acquiring the weight corresponding to the social benefit improvement score by combining the preset weak file value of the filing matrix, and calculating the social benefit score of each elastic foundation project through a formula
In the above scheme, the specific calculation process of the comprehensive efficiency adjustment coefficient is as follows: analyzing the influence factors of the efficiency coefficients of the areas where the second elastic classification category is located to obtain efficiency measurement parameters, obtaining efficiency measurement data corresponding to the efficiency measurement parameters, and calculating the efficiency coefficients of all areas through formulas by combining a radar graph method; analyzing influence factors of efficiency coefficients of the areas where the second elastic classification categories are located to obtain efficiency measurement parameters, obtaining efficiency measurement data corresponding to the efficiency measurement parameters, and calculating the efficiency coefficients of all areas through formulas by combining a radar graph method; and calculating the comprehensive efficiency adjustment coefficient of the region according to the efficiency coefficient and the efficiency coefficient of the region where the second elastic classification class is located.
In the above scheme, the specific process of obtaining the performance measure data is as follows: acquiring the number of construction progress warning items of the region where the elastic foundation projects of the second elastic classification category are located and the number of construction progress warning items of the region in a preset time period, and calculating the construction progress warning rate of the region where the elastic foundation projects of the second elastic classification category are located; acquiring the number of the investment completion acquisition value check alarm items in the region where the elastic foundation items of the second elastic classification category are located in a preset time period, and calculating the investment acquisition alarm rate of the region where the foundation items of the second elastic classification category are located by a formula according to the number of the foundation items of the region; acquiring the investment completion value data and the investment plan value data of the region where the elastic foundation projects of the second elastic classification category are located within a preset year, and calculating the annual investment completion deviation rate of the region where the elastic foundation projects of the second elastic classification category are located through a formula.
In the above scheme, the specific acquisition process of the efficiency measure data is as follows: acquiring preset annual electricity selling income data, preset annual electricity selling income data before one year, preset annual power grid investment data before three years and preset annual power grid investment data before four years of the area where the foundation projects of the second elastic classification category are located, and calculating the unit power grid investment economic benefit improvement rate of the area where the foundation projects of the second elastic classification category are located through a formula; acquiring preset annual electricity selling income data of a region where the foundation project of the second elastic classification category is located, preset annual electricity selling income data of a province company in the region, three years of power grid investment data before the preset annual time of the region and three years of power grid investment data before the preset annual time of the province company in the region, and calculating the unit power grid investment economic benefit contribution rate of the region where the foundation project of the second elastic classification category is located through a formula; and obtaining the new capacity utilization efficiency data of the region where the elastic foundation projects of the second elastic classification category are located and the new distribution change utilization efficiency data of the high-voltage capacity reference value, and calculating the new capacity utilization efficiency of the unit power grid of the region where the elastic foundation projects of the second elastic classification category are located through a formula.
One or more technical solutions provided in the embodiments of the present application have at least the following technical effects or advantages.
1. Dividing each to-be-sequenced infrastructure project into elastic and rigid infrastructure projects according to the elasticity degree, calculating economic benefit score, safety benefit score and social benefit score of each elastic infrastructure project, obtaining corresponding comprehensive benefit score by combining project type weights of different types of the elastic infrastructure projects, generating investment benefit score according to comprehensive adjustment coefficients of regional efficiency obtained by a radar graph method, and sequencing according to the sequence of the investment benefit scores of all types of elastic infrastructure projects from high to low, thereby realizing accurate sequencing of the investment benefits of the elastic infrastructure projects, further realizing improvement of the sequencing accuracy of the investment benefits of the infrastructure projects, and effectively solving the problem of low sequencing accuracy of the investment benefits of the infrastructure projects in the prior art.
2. The economic benefit score of each project is calculated by acquiring unit investment increment power data and engineering unit investment cost advanced degree data of each elastic foundation project and combining economic benefit weight determined by a variation coefficient method, then the safe benefit score of each project is obtained according to a safe benefit type table and combining preset values in the table, then the social benefit score of each project is calculated according to a social benefit archiving matrix and a preset weak file value of the archiving matrix and combining a CRITCI method determined by a commercial environment improvement benefit weight, a civil improvement benefit weight, a green development benefit weight and a collaborative cooperation benefit weight, then the project type weight of each elastic foundation project is calculated according to a variation coefficient method, and finally the comprehensive benefit score of each type of elastic foundation project is obtained by combining the project type weight, so that the accurate evaluation of the comprehensive benefit of the elastic foundation project is realized, and the improvement of the comprehensive evaluation accuracy of the foundation project is realized.
3. The construction progress alarm rate, the investment acquisition alarm rate and the annual investment completion deviation rate of the region where each elastic foundation project is located are obtained, then the efficiency coefficient of the corresponding region is calculated by combining a radar graph method, then the unit power grid investment economic benefit improvement rate, the unit power grid investment economic benefit contribution rate and the unit power grid newly-increased capacity operation efficiency of the region where each elastic foundation project is located are obtained, then the efficiency coefficient of the corresponding region is calculated by the same method, and finally the efficiency comprehensive adjustment coefficient of the region where each elastic foundation project is located is obtained by combining the calculated efficiency coefficient and the calculated efficiency coefficient, so that the system evaluation of the efficiency performance conditions in the construction and management of the elastic foundation projects in different regions is realized, and further the efficiency performance conditions in the construction and management of the elastic foundation projects in different regions are evaluated more systematically.
Drawings
FIG. 1 is a flow chart of a method for ranking investment benefits of a capital construction project according to an embodiment of the present application;
FIG. 2 is a sample of a security benefit type table provided in an embodiment of the present application;
FIG. 3 is a sample of a social benefit archiving matrix provided in an embodiment of the present application;
fig. 4 is a schematic diagram of radar chart provided in an embodiment of the present application.
Detailed Description
According to the method, the problem of low accuracy of investment benefit sequencing of the foundation projects in the prior art is solved, the foundation projects to be sequenced are divided into elastic foundation projects and rigid foundation projects according to different degrees of elasticity, the elastic foundation projects are classified according to different project types, corresponding economic benefit weights and economic benefit scores are calculated through formulas according to obtained economic benefit data of the elastic foundation projects, the safety benefit score of the elastic foundation projects is calculated according to preset values in a safety benefit type table and a table obtained through analysis, the social benefit score of the elastic foundation projects is calculated according to a social benefit archiving matrix, the social benefit score of the elastic foundation projects is calculated by combining preset strong file values and weak file values, the economic benefit score, the safety benefit score and the social benefit score of the elastic foundation projects are calculated to obtain corresponding comprehensive benefit scores, finally the elastic foundation projects are calculated according to a radar map, the obtained comprehensive efficiency adjustment coefficient of the elastic foundation projects further after the regional efficiency coefficient and the efficiency coefficient are calculated, the investment benefit score of the elastic foundation projects is calculated from the low investment score is high, and the accuracy of the foundation projects is improved, and the investment benefit of the foundation projects of various types is sequenced according to the accuracy is improved, and the investment benefit of the investment is sequenced from the low investment score is realized.
The technical scheme in the embodiment of the application aims to solve the problem of low accuracy of investment benefit ordering of the foundation projects, and the overall thought is as follows:
corresponding economic benefit scores are calculated through the obtained economic benefit data of each elastic infrastructure project, then corresponding safety benefit scores are calculated according to the safety benefit types, then corresponding social benefit scores are calculated according to the social benefit archiving matrix, the calculated project type weights are combined to obtain corresponding comprehensive benefit scores, then the efficiency comprehensive adjustment coefficients of each region are obtained according to the radar map method, so that investment benefit scores are generated, and finally the effect of improving the accuracy of investment benefit sequencing of the infrastructure projects is achieved according to the investment benefit score sequencing.
In order to better understand the above technical solutions, the following detailed description will refer to the accompanying drawings and specific embodiments.
As shown in fig. 1, a flowchart of a method for sorting investment benefits of a infrastructure project provided in an embodiment of the present application is shown in fig. 2, and is a sample of a security benefit type table provided in an embodiment of the present application, and is used for a server, where the method includes the following steps: acquiring a first classification category: classifying each foundation project to be sequenced according to the elasticity degree to obtain a first classification category, and adding a corresponding label to the first classification category, wherein the first classification category comprises an elastic foundation project and a rigid foundation project; obtaining a second elastic classification category: reclassifying the elastic foundation projects according to project types, acquiring a second elastic classification category and adding corresponding labels, wherein the second elastic classification category comprises a safety lifting type elastic foundation project, a development matching type elastic foundation project and a demand driving type elastic foundation project; acquiring investment benefit data: analyzing the second elastic classification category to obtain corresponding investment benefit data, wherein the investment benefit data comprises economic benefit scores, safety benefit scores and social benefit scores, the economic benefit scores are obtained by calculating corresponding economic benefit data obtained according to economic benefit parameters obtained through analysis through formulas, the safety benefit scores are obtained by combining safety benefit types determined by a safety benefit type table obtained through analysis with preset values in the safety benefit type table, and the social benefit scores are obtained according to archiving results of a social benefit archiving matrix obtained through analysis, preset strong-grade values and weak-grade values; calculating the investment benefit score: and constructing an investment benefit score model according to the investment benefit data, calculating an investment benefit score by the investment benefit score model, and sequencing the second elastic classification categories according to the order of the investment benefit score from high to low until the elastic foundation project investment limit is zero, wherein the elastic foundation project investment limit is obtained through the rigid foundation project investment limit.
In this embodiment, the flexibility degree of the project includes aspects of project time, cost, resources, technology and the like, the specific rigid foundation project has rigid requirements in terms of time, cost and laws and regulations, the scope of the flexible foundation project has certain flexibility and adjustability, the resource allocation of the project such as human resources, material resources, financial resources and the like can be adjusted according to actual needs, the technology and tools adopted in the project implementation process can have certain flexibility, and the organization structure of the project such as the composition and role allocation of project team can also be adjusted according to actual situations; the rigid foundation project is directly sent into a project investment plate, and the rigid foundation project investment limit is deducted from the project investment total in a preset time period to obtain a corresponding elastic project investment limit; the safety benefit is also called reliability benefit, the safety benefit type list divides the safety benefit into I, II, III, IV four gears, and the preset values are 90, 70, 50 and 30 in sequence under the general condition; the social benefit is divided into four gears, each gear is specifically divided into a strong gear and a weak gear, and the preset strong gear value and the preset weak gear value are generally 85 and 50; the safety lifting type elastic foundation project can be further refined into an elastic foundation project for eliminating potential safety hazards and improving the net rack; the development matching type elastic foundation project can be subdivided into policy matching, power matching, user matching and network matching elastic foundation projects; the demand driven type elastic foundation projects can be subdivided into strategic point distribution type, economic benefit type and service level improvement elastic foundation projects, wherein the service level improvement elastic foundation projects are less common; and the accuracy of capital construction project investment benefit ordering is improved.
Further, the investment benefit score model is as follows:
wherein e is a natural constant, j p The numbers of the corresponding items of the second elastic classification category are represented, p=1, 2,3, p=1 represents the safety lifting elastic foundation item, p=2 represents the development matching elastic foundation item, and p=3 represents a demand-driven elastic infrastructure item, j p ＝1 1 ，2 1 ，...，R 1 ，1 2 ，2 2 ，...，S 2 ，1 3 ，...，T 3 ，R 1 Representing the total number of safety-promoted elastic infrastructure items in the second elastic classification category, S 2 Representing the total number of developing supporting elastic infrastructure items in the second elastic classification category, T 3 Representing the total number of demand driven elastic infrastructure items in the second elastic classification category, R 1 +S 2 +T 3 J, J is the total number of items corresponding to the second elastic classification category, ++>Jth in p-th class representing a second elastic classification class p Investment benefit fraction of individual elastic infrastructure projects, < ->For investment benefit score correction factor, < >>Jth in p-th class representing a second elastic classification class p Comprehensive benefit fraction of individual elastic infrastructure projects, < ->Jth in p-th class representing a second elastic classification class p The comprehensive efficiency adjustment coefficient of the region where the elastic foundation project is located is K, which is the j in the p-th class of the second elastic classification class p The number of the region where the elastic foundation projects are located, k=1, 2, 3..k, K is the total number of regions where the elastic foundation projects are located in each foundation project to be ordered.
In the embodiment, the regional efficiency coefficient and the efficiency coefficient play important roles in evaluating the infrastructure project, and supplement each other to provide important guidance and reference basis for project decision and execution; the total number of the areas where the safety lifting type, the development matching type and the demand driving type elastic foundation projects are located is equal to the total number K of the areas where the elastic foundation projects are located in the foundation projects to be ordered; the total number of the safety lifting type, the development matching type and the requirement driving type elastic foundation projects is equal to the total number of the elastic foundation projects in the foundation projects to be ordered; the overall development goal of the region can be realized by the comprehensive efficiency regulation coefficient, and the resource allocation is optimized; and realizing more comprehensive calculation of the investment benefit score of the elastic foundation project.
Further, the calculation method of the comprehensive benefit score comprises the following steps: the weight of the economic benefit, the safety benefit and the social benefit corresponding to the second elastic classification category is obtained through a coefficient of variation method, and the comprehensive benefit score is calculated, wherein the specific calculation formula of the comprehensive benefit score is as follows:
in (1) the-> And->Jth in p-th class of second elastic classification class respectively p The economic benefit score, the safety benefit score and the social benefit score of each elastic foundation project, a, beta and χ are correction factors of the economic benefit, the safety benefit and the social benefit of the elastic foundation project respectively, and +. >For the project type weight of the elastic foundation project, q is the number of the project type weight, q=1, 2,3, q=1 represents the economic benefit weight, q=2 represents the safety benefit weight, and q=3 represents the social benefit weight.
In this embodiment, in the comprehensive benefits, the economic benefits are generally considered as one of the most important factors, because one of the main targets of the infrastructure projects is to promote economic development and increase the competitiveness of the country or region, and the evaluation of the economic benefits usually involves indexes such as cost benefit analysis, return on investment calculation and employment effect evaluation, so that the economic benefit score corresponds to a base number of e; the safety benefit is important for sustainable development of the capital construction project and people's welfare, and the social benefit refers to improvement of the welfare and the life quality of the public of the capital construction project; and the more accurate calculation of the comprehensive benefit of the elastic foundation project is realized.
Further, the specific calculation process of the economic benefit score is as follows: obtaining economic benefit weights of the second elastic classification category according to a coefficient of variation method, wherein the economic benefit weights comprise unit investment increment power supply weight and engineering unit investment cost advanced degree weight; combining the unit investment increment data of the second elastic classification category with the engineering unit investment cost advanced degree data, and calculating the j in the p-th category of the second elastic classification category through a formula p Economic benefit score for individual elastic infrastructure projectsThe specific calculation formula of the economic benefit score is as follows: />Wherein phi is a correction factor of the economic benefit score of the second elastic classification category, W 1 And W is 2 The unit investment power increment weight and the engineering unit investment cost advanced degree weight are respectively +>J in the p-th class of the second elastic classification class p Power data for unit investment increase of individual elastic foundation projects,/->J in the p-th class of the second elastic classification class p Engineering unit investment cost advanced degree data of each elastic foundation project.
In this embodiment, the coefficient of variation method (Coefficient of variation method) is a method for objectively giving weight by directly using information contained in each index and obtaining the weight of the corresponding index through calculation; the method has the basic method that in an evaluation index system, the larger the index value difference is, namely the more difficult to realize, the difference of the evaluated units can be reflected, and the variation coefficients of all indexes are needed to be used for measuring the difference degree of the values of all indexes in order to eliminate the influence of the difference of the dimensions of all evaluation indexes due to the difference of the dimensions of all indexes in the evaluation index system; the coefficient of variation is a relative index used for measuring the variation state or the discrete degree of the overall distribution in statistics; realizes the numerical value of the economic benefit of the elastic foundation project.
Further, the specific acquisition process of the unit investment increment power data and the engineering unit investment cost advanced degree data is as follows: the specific acquisition process of the unit investment increment power data and the engineering unit investment cost advanced degree data is as follows: acquiring annual average electric quantity data expected to be increased in a preset time period after the project corresponding to the second elastic classification category is built and annual fixed asset recovery limit data, and obtaining unit investment increase electric quantity data of the elastic foundation project according to the ratio of the annual average electric quantity data and the annual fixed asset recovery limit data; and obtaining unit investment cost level data and unit investment cost average level data of the second elastic classification category, and obtaining engineering unit investment cost advanced degree data of the elastic foundation project according to the ratio of the difference value of the unit investment cost level data and the unit investment cost level data.
In this embodiment, the annual average power data directly reflects a considerable scale of economic benefit brought by the increase in power per unit investment; the annual fixed asset recovery limit data can be associated with the recovery investment scale which is incorporated into the power transmission and distribution price verification, so that the requirements of the new power system reform on the power transmission and distribution price monitoring and price verification are met; the advanced degree of the investment cost of the engineering unit is used as a measurement index of the advanced level, and the measurement is the difference degree between the unit investment cost level and the average unit investment cost level; the investment of projects is reasonably guided through the cost level, the cost level is obviously different in regions, the phenomenon that reports can be studied and converged is avoided, and meanwhile, the economic and technical warp centers of various provinces have better early-stage data accumulation in the aspect of engineering cost level; the economic benefit data of the elastic foundation project can be accurately obtained.
Further, as shown in fig. 3, for the social benefit archiving matrix sample provided in the embodiment of the present application, the specific calculation process of the social benefit score is as follows: the second elastic classification category is archived according to four aspects of improvement benefit of a commercial environment, improvement benefit of a civilian life, development benefit of green and cooperation benefit by combining with a social benefit archiving matrix, so that the social benefit improvement score of the second elastic classification category is obtained, wherein the social benefit improvement score comprises the improvement benefit score of the commercial environment, the improvement benefit score of the civilian life, the development benefit score of green and the cooperation benefit score; according to the CRITCI method, the weight corresponding to the social benefit improvement score is obtained by combining the preset weak file value of the filing matrix, the social benefit score of each elastic foundation project is calculated by a formula, and the specific calculation formula of the social benefit score is as follows:in (1) the->Social benefit score correction factor W for elastic construction project B Improving benefit weight for a commercial environment, W L Improving benefit weight for civilian use, W G For green development of benefit weight, W C For synergistic benefit weight->J in the p-th class of the second elastic classification class p The improvement benefit score of the commercial environment of the individual elastic infrastructure projects,/- >J in the p-th class of the second elastic classification class p Civil improvement benefit score of individual elastic capital construction items, < ->In class p of the second elastic classification classJth j p Green development benefit score of individual elastic infrastructure program,/->J in the p-th class of the second elastic classification class p Collaborative benefit score, deltaS, of individual elastic infrastructure projects min The preset weak gear value for the archiving matrix.
In this embodiment, the improvement benefit of the commercial environment is also referred to as the boosting economic development benefit, and the cooperation benefit is also referred to as the policy cooperation benefit; i, II, III, IV in FIG. 3 corresponds to the improvement benefit of the commercial environment, the improvement benefit of the Minsheng, the development benefit of the green and the cooperation benefit respectively; the CRITIC method is an objective weighting method proposed by diakouloki, the english full name of which is "Criteria Importance Through Intercriteria Correlation", and the method determines the importance of each index to the model performance by performing correlation analysis on a plurality of indexes of the model performance; the CRITIC method comprises the main steps of determining an evaluation index, evaluating a model, calculating a correlation coefficient, determining the importance of the index and analyzing the result; and the more comprehensive evaluation of the social benefit of the elastic foundation project is realized.
Further, as shown in fig. 4, a schematic diagram of a radar chart provided in the embodiment of the present application is shown, and a specific calculation process of the comprehensive efficiency adjustment coefficient is as follows: analyzing the influence factors of the efficiency coefficients of the areas where the second elastic classification category is located to obtain efficiency measurement parameters, obtaining efficiency measurement data corresponding to the efficiency measurement parameters, and calculating the efficiency coefficients of all areas through formulas by combining a radar graph method; analyzing influence factors of efficiency coefficients of the areas where the second elastic classification categories are located to obtain efficiency measurement parameters, obtaining efficiency measurement data corresponding to the efficiency measurement parameters, and calculating the efficiency coefficients of all areas through formulas by combining a radar graph method; and calculating the comprehensive efficiency adjustment coefficient of the region according to the efficiency coefficient and the efficiency coefficient of the region where the second elastic classification class is located.
In this embodiment, the efficiency coefficient is used to measure the efficiency and contribution of regional infrastructure projects. It generally takes into account economic, social and environmental impact of the region; the efficiency coefficient is used for measuring the effectiveness and efficiency level of resource utilization in the operation process of the infrastructure project, and pays attention to the resource utilization benefits in the project execution process, including time, manpower, material resources, financial resources and the like; when the radar graph method is used for evaluation, the larger the radar graph area is, the larger the overall advantage of the corresponding index is; the smaller the area, the opposite is true; when the area is a certain value, the smaller the circumference is, the more the circumference is similar to a circle, namely the more coordinated the index development is; the efficiency and effectiveness conditions in the construction and management of the elastic foundation projects in different areas are comprehensively evaluated.
Further, the comprehensive efficiency adjustment coefficient adopts the following formula:in (1) the->The performance coefficient of the region where the jth elastic construction project is located in the p-th class of the second elastic classification class is +.>J in the p-th class of the second elastic classification class p The efficiency coefficient, μ and η, of the region where the elastic infrastructure project is located are the efficiency coefficient and the correction factor of the efficiency coefficient, respectively.
In this embodiment, the efficiency coefficient and the efficiency coefficient are both proportional to the integrated efficiency adjustment coefficient, wherein the effect of the efficiency coefficient is smaller; the comprehensive condition of efficiency of the elastic foundation projects in different areas can be accurately estimated.
Further, the specific acquisition process of the performance measure data is as follows: acquiring the j in the p-th class of the second elastic classification class in a preset time period p The number of construction progress warning projects in the region where the elastic foundation projects are located and the number of construction projects in the region are calculated by a formula p The construction progress warning rate of the region where the elastic foundation projects are located; acquiring the j in the p-th class of the second elastic classification class in a preset time period p Location of individual elastic infrastructure projectsChecking the number of alarm items according to the investment completion acquisition value of the region, and calculating the j in the p type of the second elastic classification category by combining the number of the construction items of the region through a formula p The investment acquisition alarm rate of the region where the elastic foundation projects are located; acquiring the j in the p-th class of the second elastic classification class within a preset year p Calculating the j in the p-th class of the second elastic classification class through a formula according to the investment completion value data and the investment plan value data of the region where the elastic foundation project is located p Annual investment completion deviation rate of the region where the individual elastic foundation projects are locatedThe specific calculation formula of the annual investment completion deviation rate is as follows: />In (1) the->J in the p-th class of the second elastic classification class p Investment completion value data of the region where the individual elastic infrastructure projects are located,/->J in the p-th class of the second elastic classification class p Investment plan value data of the region where the individual elastic foundation projects are located.
In this embodiment, the construction progress warning items are divided into items within 3 months of construction and items above 3 months of construction according to different construction time, and the evaluation rules of the corresponding warning items are different; annual investment completion deviation rate: comprehensively evaluating the investment completion condition of each unit power grid project by calculating the annual investment completion deviation rate based on the annual comprehensive planning and arrangement; the investment plan value data source annual comprehensive plan, the investment completion value data source investment statistics completion data, wherein project investment progress, start-up and production milestone data are provided by a project management department according to project actual progress measurement; the performance of the elastic foundation project in different areas is measured more comprehensively.
Further, the specific acquisition process of the efficiency measure data is as follows: acquiring the j in the p-th class of the second elastic classification class p The preset annual electricity selling income data, the electricity selling income data of the last year, the power grid investment data of the last three years and the power grid investment data of the last four years in the region where the elastic foundation projects are located calculate the j in the p type of the second elastic classification category through a formula p The unit power grid investment economic benefit improvement rate of the region where the elastic foundation projects are located; acquiring the j in the p-th class of the second elastic classification class p The preset annual electricity selling income data of the region where the elastic foundation project is located, the preset annual electricity selling income data of the province company in the region, the three-year power grid investment data before the preset annual time of the region and the three-year power grid investment data before the preset annual time of the province company in the region are calculated by a formula, and the j in the p type of the second elastic classification category is calculated p The unit power grid investment economic benefit contribution rate of the region where the elastic foundation projects are located; acquiring the j in the p-th class of the second elastic classification class p The new capacity utilization efficiency data of the region where the elastic basic construction project is located and the new configuration change utilization efficiency data of the high voltage capacity reference value are not smaller than the new capacity utilization efficiency data of the high voltage capacity reference value, and the j in the p-th class of the second elastic classification class is calculated through a formula p The unit power grid in the region where the elastic foundation projects are located increases the capacity operation efficiency.
In the embodiment, the unit power grid investment economic benefit improvement rate reflects the change condition of the own investment benefit of each region; the economic benefit contribution rate of unit power grid investment reflects the contribution condition of each region to the whole-province investment benefit improvement; the newly increased capacity operation efficiency of the unit power grid reflects the overall operation efficiency condition of the newly produced power transformation capacity in the last three years; the reference value of the high-voltage capacitance is 35 kilovolts, and the reference value of the low-voltage capacitance is 10 kilovolts; the efficiency performance of the elastic foundation projects in different areas is measured more comprehensively.
The technical scheme in the embodiment of the application at least has the following technical effects or advantages: relative to the bulletin number: according to the embodiment of the application, the unit investment increment data and the engineering unit investment cost advanced degree data of each elastic foundation project are obtained, the economic benefit score of each project is calculated by combining the economic benefit weight determined by a variation coefficient method, then the safety benefit score of each project is obtained according to a safety benefit type table and a preset value in the table, then the social benefit score of each project is calculated according to a preset weak file value of a social benefit archiving matrix and an archiving matrix and by combining the commercial environment improvement benefit weight, the civil improvement benefit weight, the green development benefit weight and the cooperative benefit weight determined by a CRITCI method, the project type weight of each elastic foundation project is calculated according to the variation coefficient method, and finally the comprehensive benefit score of each type of elastic foundation project is obtained by combining the project type weight, so that the accurate evaluation of the comprehensive benefit of the elastic foundation project is realized, and the improvement of the comprehensive benefit evaluation accuracy of the foundation project is realized; relative to publication No.: according to the embodiment of the application, the construction progress alarm rate, the investment acquisition alarm rate and the annual investment completion deviation rate of the region where each elastic foundation project is located are obtained, then the efficiency coefficient of the corresponding region is calculated by combining a radar graph method, then the unit power grid investment economic benefit improvement rate, the unit power grid investment economic benefit contribution rate and the unit power grid newly-increased capacity operation efficiency of the region where each elastic foundation project is located are obtained, then the efficiency coefficient of the corresponding region is calculated by the same method, and finally the efficiency comprehensive adjustment coefficient of the region where each elastic foundation project is located is obtained by combining the calculated efficiency coefficient and the calculated efficiency coefficient, so that the system evaluation of the efficiency and efficiency conditions in the construction and management of the elastic foundation projects in different regions is realized, and further the efficiency and efficiency conditions in the construction and management of the elastic foundation projects in different regions are evaluated more systematically.
It will be appreciated by those skilled in the art that embodiments of the present invention may be provided as a method, system, or computer program product. Accordingly, the present invention may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Furthermore, the present invention may take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, and the like) having computer-usable program code embodied therein.
The present invention is described with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems) and computer program products according to embodiments of the invention. It will be understood that each flow and/or block of the flowchart illustrations and/or block diagrams, and combinations of flows and/or blocks in the flowchart illustrations and/or block diagrams, can be implemented by computer program instructions. These computer program instructions may be provided to a processor of a general purpose computer, special purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create means for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be stored in a computer-readable memory that can direct a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including instruction means which implement the function specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
While preferred embodiments of the present invention have been described, additional variations and modifications in those embodiments may occur to those skilled in the art once they learn of the basic inventive concepts. It is therefore intended that the following claims be interpreted as including the preferred embodiments and all such alterations and modifications as fall within the scope of the invention.
It will be apparent to those skilled in the art that various modifications and variations can be made to the present invention without departing from the spirit or scope of the invention. Thus, it is intended that the present invention also include such modifications and alterations insofar as they come within the scope of the appended claims or the equivalents thereof.
Claims (10)
1. The capital construction project investment benefit ordering method is used for a server and is characterized by comprising the following steps:
classifying each foundation project to be sequenced according to the elasticity degree to obtain a first classification category, and adding a corresponding label to the first classification category, wherein the first classification category comprises an elastic foundation project and a rigid foundation project;
reclassifying the elastic foundation projects, obtaining a second elastic classification category and adding corresponding labels, wherein the second elastic classification category comprises a safety lifting type elastic foundation project, a development matching type elastic foundation project and a demand driving type elastic foundation project;
analyzing the second elastic classification category to obtain corresponding investment benefit data;
and constructing an investment benefit score model according to the investment benefit data, calculating an investment benefit score by the investment benefit score model, and sequencing the second elastic classification categories according to the order of the investment benefit score from high to low until the elastic foundation project investment limit is zero, wherein the elastic foundation project investment limit is obtained through the rigid foundation project investment limit.
2. The method for ranking investment benefits of a capital-construction project according to claim 1, wherein the investment benefit score model is as follows:
wherein e is a natural constant, j p The numbers of the corresponding items of the second elastic classification category are represented, and p=1, 2,3, and p=1 represent amperesFull lift elastic foundation project, p=2 represents development-matched elastic foundation project, p=3 represents demand-driven elastic foundation project, j p ＝1 1 ，2 1 ，...，R 1 ，1 2 ，2 2 ，...，S 2 ，1 3 ，...，T 3 ，R 1 Representing the total number of safety-promoted elastic infrastructure items in the second elastic classification category, S 2 Representing the total number of developing supporting elastic infrastructure items in the second elastic classification category, T 3 Representing the total number of demand driven elastic infrastructure items in the second elastic classification category, R 1 +S 2 +T 3 J, J is the total number of items corresponding to the second elastic classification category,jth in p-th class representing a second elastic classification class p Investment benefit fraction of individual elastic infrastructure projects, < ->For investment benefit score correction factor, < >>Jth in p-th class representing a second elastic classification class p Comprehensive benefit fraction of individual elastic infrastructure projects, < ->Jth in p-th class representing a second elastic classification class p The comprehensive efficiency adjustment coefficient of the region where the elastic foundation project is located is K, which is the j in the p-th class of the second elastic classification class p The number of the region where the elastic foundation projects are located, k=1, 2, 3..k, K is the total number of regions where the elastic foundation projects are located in each foundation project to be ordered.
3. The method for ranking investment benefits of a capital construction project according to claim 2, wherein the method for calculating the comprehensive benefit score comprises the following steps:
the weight of the economic benefit, the safety benefit and the social benefit corresponding to the second elastic classification category is obtained through a coefficient of variation method, and the comprehensive benefit score is calculated, wherein the specific calculation formula of the comprehensive benefit score is as follows:
in the method, in the process of the invention,and->Jth in p-th class of second elastic classification class respectively p The economic benefit score, the safety benefit score and the social benefit score of each elastic foundation project, wherein alpha, beta and χ are correction factors of the economic benefit, the safety benefit and the social benefit of the elastic foundation project respectively, and +.>For the project type weight of the elastic foundation project, q is the number of the project type weight, q=1, 2,3, q=1 represents the economic benefit weight, q=2 represents the safety benefit weight, and q=3 represents the social benefit weight.
4. A method for ranking investment benefits of a capital construction project according to claim 3, wherein the economic benefit score is calculated as follows:
Obtaining economic benefit weights of the second elastic classification category according to a coefficient of variation method, wherein the economic benefit weights comprise unit investment increment power supply weight and engineering unit investment cost advanced degree weight;
combining the unit investment increment data of the second elastic classification category with the engineering unit investment cost advanced degree data, and calculating the j in the p-th category of the second elastic classification category through a formula p Individual elastic foundationObjective economic benefit scoreThe specific calculation formula of the economic benefit score is as follows:
wherein phi is a correction factor of the economic benefit score of the second elastic classification category, W 1 And W is 2 The unit investment increment power supply weight and the engineering unit investment cost advanced degree weight are respectively given,j in the p-th class of the second elastic classification class p Power data for unit investment increase of individual elastic foundation projects,/->J in the p-th class of the second elastic classification class p Engineering unit investment cost advanced degree data of each elastic foundation project.
5. The method for sorting the investment benefits of the infrastructure projects as claimed in claim 4, wherein the specific acquisition process of the unit investment increment power data and the engineering unit investment cost advanced degree data is as follows:
Acquiring annual average electric quantity data expected to be increased in a preset time period after the project corresponding to the second elastic classification category is built and annual fixed asset recovery limit data, and obtaining unit investment increase electric quantity data of the elastic foundation project according to the ratio of the annual average electric quantity data and the annual fixed asset recovery limit data;
and obtaining unit investment cost level data and unit investment cost average level data of the second elastic classification category, and obtaining engineering unit investment cost advanced degree data of the elastic foundation project according to the ratio of the difference value of the unit investment cost level data and the unit investment cost level data.
6. A method for ranking investment benefits of a capital construction project according to claim 3, wherein the social benefit score is calculated as follows:
the second elastic classification category is archived according to four aspects of improvement benefit of a commercial environment, improvement benefit of a civilian life, development benefit of green and cooperation benefit in combination with a social benefit archiving matrix, and social benefit improvement scores of the second elastic classification category are obtained, wherein the social benefit improvement scores comprise the improvement benefit score of the commercial environment, the improvement benefit score of the civilian life, the development benefit score of green and the cooperation benefit score;
according to the CRITCI method, the weight corresponding to the social benefit improvement score is obtained by combining the preset weak file value of the filing matrix, the social benefit score of each elastic foundation project is calculated by a formula, and the specific calculation formula of the social benefit score is as follows:
In the method, in the process of the invention,social benefit score correction factor W for elastic construction project B Improving benefit weight for a commercial environment, W L Improving benefit weight for civilian use, W G For green development of benefit weight, W C For synergistic benefit weight->J in the p-th class of the second elastic classification class p The improvement benefit score of the commercial environment of the individual elastic infrastructure projects,/->J in the p-th class of the second elastic classification class p Civil improvement benefit score of individual elastic capital construction items, < ->J in the p-th class of the second elastic classification class p Green development benefit score of individual elastic infrastructure program,/->J in the p-th class of the second elastic classification class p Collaborative benefit score, deltaS, of individual elastic infrastructure projects min The preset weak gear value for the archiving matrix.
7. The method for ranking investment benefits of a capital construction project according to claim 2, wherein the specific calculation process of the comprehensive adjustment coefficient of efficiency is as follows:
analyzing the influence factors of the efficiency coefficients of the areas where the second elastic classification category is located to obtain efficiency measurement parameters, obtaining efficiency measurement data corresponding to the efficiency measurement parameters, and calculating the efficiency coefficients of all areas through formulas by combining a radar graph method;
analyzing influence factors of efficiency coefficients of the areas where the second elastic classification categories are located to obtain efficiency measurement parameters, obtaining efficiency measurement data corresponding to the efficiency measurement parameters, and calculating the efficiency coefficients of all areas through formulas by combining a radar graph method;
And calculating the comprehensive efficiency adjustment coefficient of the region according to the efficiency coefficient and the efficiency coefficient of the region where the second elastic classification class is located.
8. The method of claim 7, wherein the comprehensive efficiency adjustment factor is the following formula:
in the method, in the process of the invention,j in the p-th class of the second elastic classification class p The performance coefficients of the regions where the flexible infrastructure projects are located,j in the p-th class of the second elastic classification class p The efficiency coefficient, μ and η, of the region where the elastic infrastructure project is located are the efficiency coefficient and the correction factor of the efficiency coefficient, respectively.
9. The method of claim 7, wherein the specific process of obtaining the performance measure data is as follows:
acquiring the j in the p-th class of the second elastic classification class in a preset time period p The number of construction progress warning projects in the region where the elastic foundation projects are located and the number of construction projects in the region are calculated by a formula p The construction progress warning rate of the region where the elastic foundation projects are located;
acquiring the j in the p-th class of the second elastic classification class in a preset time period p Checking the number of alarm items according to the investment completion acquisition value of the region where the elastic foundation item is located, and calculating the j in the p-th class of the second elastic classification class by combining the number of the region under construction items through a formula p The investment acquisition alarm rate of the region where the elastic foundation projects are located;
acquiring the j in the p-th class of the second elastic classification class within a preset year p Calculating the j in the p-th class of the second elastic classification class through a formula according to the investment completion value data and the investment plan value data of the region where the elastic foundation project is located p Annual investment completion deviation rate of the region where the individual elastic foundation projects are locatedThe specific calculation formula of the annual investment completion deviation rate is as follows:
in the method, in the process of the invention,j in the p-th class of the second elastic classification class p Investment completion value data of the region where the individual elastic infrastructure projects are located,/->J in the p-th class of the second elastic classification class p Investment plan value data of the region where the individual elastic foundation projects are located.
10. The method for ranking investment benefits of a infrastructure item as set forth in claim 7, wherein the specific process of obtaining the efficiency measure data is as follows:
acquiring the j in the p-th class of the second elastic classification class p The preset annual electricity selling income data, the electricity selling income data of the last year, the power grid investment data of the last three years and the power grid investment data of the last four years in the region where the elastic foundation projects are located calculate the j in the p type of the second elastic classification category through a formula p The unit power grid investment economic benefit improvement rate of the region where the elastic foundation projects are located;
acquiring the j in the p-th class of the second elastic classification class p The preset annual electricity selling income data of the region where the elastic foundation project is located, the preset annual electricity selling income data of the province company in the region, the three-year power grid investment data before the preset annual time of the region and the three-year power grid investment data before the preset annual time of the province company in the region are calculated by a formula, and the j in the p type of the second elastic classification category is calculated p The unit power grid investment economic benefit contribution rate of the region where the elastic foundation projects are located;
acquiring the j in the p-th class of the second elastic classification class p The new capacity utilization efficiency data of the region where the elastic basic construction project is located and the new configuration change utilization efficiency data of the high voltage capacity reference value are not smaller than the new capacity utilization efficiency data of the high voltage capacity reference value, and the second elastic classification category is calculated through a formulaJ in p-th class p The unit power grid in the region where the elastic foundation projects are located increases the capacity operation efficiency.
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