CN117852815A - Investment evaluation method based on professional index modeling analysis - Google Patents

Investment evaluation method based on professional index modeling analysis Download PDF

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CN117852815A
CN117852815A CN202311838860.8A CN202311838860A CN117852815A CN 117852815 A CN117852815 A CN 117852815A CN 202311838860 A CN202311838860 A CN 202311838860A CN 117852815 A CN117852815 A CN 117852815A
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index
evaluation
project
power grid
investment
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严宇平
周昉昉
蔡忠岳
陆宏治
林浩
黄德辉
阮伟聪
卫潮冰
温兆聪
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Guangdong Power Grid Co Ltd
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Abstract

The present application relates to an investment assessment method, apparatus, computer device, storage medium and computer program product based on professional index modeling analysis. The method comprises the following steps: constructing a project investment evaluation index system aiming at a power grid project to be evaluated; determining a data monitoring method corresponding to an evaluation index related to a project investment evaluation index system according to project categories and evaluation objects corresponding to each power grid project to be evaluated; presetting a value interval according to an index corresponding to the evaluation index, and determining an evaluation standard of the evaluation index; according to the data monitoring method corresponding to the evaluation index, calculating index monitoring data corresponding to each power grid project to be evaluated under the evaluation index, and outputting investment evaluation results corresponding to each power grid project according to the evaluation standard of the evaluation index and the index monitoring data corresponding to each power grid project to be evaluated; the investment evaluation result is used for making investment decisions for the user to perform the power grid project. By adopting the method, the resource utilization efficiency of the investment of the power grid project can be improved.

Description

Investment evaluation method based on professional index modeling analysis
Technical Field
The present application relates to the field of project evaluation technologies, and in particular, to an investment evaluation method, apparatus, computer device, storage medium, and computer program product based on professional index modeling analysis.
Background
With the continuous enhancement of project management in breadth and depth, a great deal of work is also done by the power enterprise in the aspect of early project management, and the project management level is improved year by year, but from the perspective of the project full life cycle management system, there is a lot of space that can promote.
In actual construction, due to the limitation of resources, the current situation of the power grid needs to be combined, and an optimization decision is made on the annual investment plan of the power grid project so as to improve the utilization efficiency of investment resources.
At present, the investment evaluation of the power grid project focuses on the aspects of safety and reliability of the power grid, the attention of indexes of the investment evaluation is less, the investment evaluation of the power grid project lacks objective and reasonable quantitative basis and deep analysis, the investment condition of the power grid cannot be accurately reflected, the data support is difficult to provide for the investment evaluation of the power grid project, and the use efficiency of investment resources of the investment of the power grid project is low.
Therefore, the related art has the problem of low resource utilization efficiency of the investment of the power grid project.
Disclosure of Invention
In view of the foregoing, it is desirable to provide an investment evaluation method, apparatus, computer device, computer-readable storage medium, and computer program product based on professional index modeling analysis of an project capable of improving the resource use efficiency of a grid project investment.
In a first aspect, the present application provides an investment assessment method based on professional index modeling analysis, including:
constructing a project investment evaluation index system aiming at a power grid project to be evaluated;
determining a data monitoring method corresponding to an evaluation index related to the project investment evaluation index system according to the project category and the evaluation object corresponding to each power grid project to be evaluated;
determining an evaluation standard of the evaluation index according to an index preset value interval corresponding to the evaluation index;
according to the data monitoring method corresponding to the evaluation index, calculating index monitoring data corresponding to each power grid project to be evaluated under the evaluation index; the index monitoring data comprise project completion conditions and project output effects;
outputting investment evaluation results corresponding to all the power grid projects according to the evaluation standard of the evaluation index and index monitoring data corresponding to all the power grid projects to be evaluated; and the investment evaluation result is used for making investment decisions for the power grid project by the user.
In one embodiment, the calculating, according to the data monitoring method corresponding to the evaluation index, index monitoring data corresponding to each to-be-evaluated power grid item under the evaluation index includes:
According to a data monitoring method corresponding to the evaluation index, graphically analyzing the project completion condition and the project output effect of each power grid project to be evaluated under the evaluation index;
and displaying the graphical analysis results corresponding to the power grid projects.
In one embodiment, the counting the index monitoring data corresponding to each to-be-evaluated power grid item under the evaluation index includes:
counting the project completion condition and the project output effect of the power grid project to be evaluated belonging to any project category under the evaluation index aiming at any project category in the project categories to obtain index monitoring data corresponding to the any project category;
and/or the number of the groups of groups,
and counting the project completion condition and the project output effect of the power grid project to be evaluated corresponding to any evaluation object under the evaluation index aiming at any evaluation object in the evaluation objects to obtain index monitoring data corresponding to the any evaluation object.
In one embodiment, the outputting, according to the evaluation criterion of the evaluation index and the index monitoring data corresponding to each of the grid projects to be evaluated, an investment evaluation result corresponding to each of the grid projects includes:
Obtaining an investment evaluation result corresponding to any evaluation object according to the evaluation standard of the evaluation index and index monitoring data corresponding to any evaluation object;
and/or the number of the groups of groups,
and obtaining an investment evaluation result corresponding to any item category according to the evaluation standard of the evaluation index and index monitoring data corresponding to any item category.
In one embodiment, the evaluation index includes a technical index and an economic index; the method for monitoring the data corresponding to the evaluation index counts the index monitoring data corresponding to the power grid items to be evaluated under the evaluation index, and comprises the following steps:
for any one of the power grid projects to be evaluated, monitoring at least one data of automatic terminal coverage rate, automatic meter reading rate, third party satisfaction, complaint rate, power supply reliability rate, annual average power failure time, electricity selling electronic settlement rate and automation system practical evaluation score of the any one of the power grid projects according to a data monitoring method corresponding to the evaluation index, and obtaining index monitoring data corresponding to the any one of the power grid projects under the technical index;
the method comprises the steps of,
And according to the data monitoring method corresponding to the evaluation index, monitoring at least one of average service life of terminal equipment of any power grid project, current year electricity fee recovery rate, electricity fee error rate, electricity sales quantity, electricity replacement and charge increment quantity, obtaining power index and virtual resource change data, and obtaining index monitoring data corresponding to any power grid project under the economic index.
In one embodiment, the determining the evaluation criterion of the evaluation index according to the index preset value interval corresponding to the evaluation index includes:
classifying the evaluation index into a control class index, an observation class index and a trend class index; the control class index is an evaluation index for providing a target standard for the development characteristics of the power grid project; the observation indexes are evaluation indexes for carrying out stage qualitative analysis on the development of the power grid; the trend index is an evaluation index conforming to the development trend of the power grid;
determining an evaluation standard of the control type index according to an index preset value interval corresponding to the control type index;
determining an evaluation standard of the observation type index according to an index preset value interval corresponding to the observation type index;
And determining an evaluation standard of the trend index according to an index preset value interval corresponding to the trend index.
In a second aspect, the present application further provides an investment evaluation apparatus based on professional index modeling analysis, including:
the construction module is used for constructing a project investment evaluation index system aiming at a power grid project to be evaluated;
the method determining module is used for determining a data monitoring method corresponding to an evaluation index related to the project investment evaluation index system according to the project category and the evaluation object corresponding to each power grid project to be evaluated;
the standard determining module is used for determining an evaluation standard of the evaluation index according to an index preset value interval corresponding to the evaluation index;
the statistics module is used for counting index monitoring data corresponding to the power grid items to be evaluated under the evaluation indexes according to a data monitoring method corresponding to the evaluation indexes; the index monitoring data comprise project completion conditions and project output effects;
the evaluation module is used for outputting investment evaluation results corresponding to the power grid projects according to the evaluation standard of the evaluation index and index monitoring data corresponding to the power grid projects to be evaluated; and the investment evaluation result is used for making investment decisions for the power grid project by the user.
In a third aspect, the present application also provides a computer device. The computer device comprises a memory and a processor, the memory storing a computer program which, when executed by the processor, implements the steps of the method described above.
In a fourth aspect, the present application also provides a computer-readable storage medium. The computer readable storage medium has stored thereon a computer program which, when executed by a processor, implements the steps of the method described above.
In a fifth aspect, the present application also provides a computer program product. The computer program product comprising a computer program which, when executed by a processor, implements the steps of the method described above.
According to the investment evaluation method, the device, the computer equipment, the storage medium and the computer program product based on professional index modeling analysis, quantitative evaluation indexes can be provided by constructing an item investment evaluation index system aiming at the power grid item to be evaluated, and a data monitoring method corresponding to the evaluation indexes related to the item investment evaluation index system is determined according to the item category and the evaluation object corresponding to each power grid item to be evaluated; meanwhile, presetting a value interval according to an index corresponding to the evaluation index, and determining an evaluation standard of the evaluation index; then, according to a data monitoring method corresponding to the evaluation index, calculating index monitoring data corresponding to each power grid project to be evaluated under the evaluation index; finally, according to the evaluation standard of the evaluation index and index monitoring data corresponding to each power grid project to be evaluated, outputting an investment evaluation result corresponding to each power grid project so as to enable a user to make investment decisions on the power grid projects; therefore, the realization of realizing the implementation of the investment evaluation index to a single project can integrate the multidimensional index monitoring data, accurately reflect the investment condition of the power grid project, provide data support for project investment, provide expected value creation capability, improve index benefits and other quantifiable output when the project stands, thereby being capable of providing users for more accurate investment decision optimization aiming at the power grid project and effectively improving the resource utilization efficiency of the power grid project investment.
Drawings
In order to more clearly illustrate the embodiments of the present application or the technical solutions in the related art, the drawings that are required to be used in the embodiments or the related technical descriptions will be briefly described below, and it is obvious that the drawings in the following description are only some embodiments of the present application, and other drawings may be obtained according to the drawings without inventive effort for a person having ordinary skill in the art.
FIG. 1 is a flow diagram of an investment assessment method based on expertise modeling analysis, according to one embodiment;
FIG. 2 is a flowchart illustrating a step of counting index monitoring data corresponding to each grid item to be evaluated under an evaluation index in one embodiment;
FIG. 3 is a schematic diagram of a marketing technique improvement project investment evaluation application architecture, in one embodiment;
FIG. 4 is a flow chart of an investment assessment method based on expertise modeling analysis in another embodiment;
FIG. 5 is a block diagram of an investment valuation apparatus based on expertise modeling analysis, according to one embodiment;
fig. 6 is an internal structural diagram of a computer device in one embodiment.
Detailed Description
In order to make the objects, technical solutions and advantages of the present application more apparent, the present application will be further described in detail with reference to the accompanying drawings and examples. It should be understood that the specific embodiments described herein are for purposes of illustration only and are not intended to limit the present application.
It should be noted that the terms "first," "second," and the like in the description and claims of the present disclosure and in the foregoing figures are used for distinguishing between similar objects and not necessarily for describing a particular sequential or chronological order. It is to be understood that the data so used may be interchanged where appropriate such that the embodiments of the disclosure described herein may be capable of operation in sequences other than those illustrated or described herein. The implementations described in the following exemplary examples are not representative of all implementations consistent with the present disclosure. Rather, they are merely examples of apparatus and methods consistent with some aspects of the present disclosure as detailed in the accompanying claims.
In one embodiment, as shown in fig. 1, an investment evaluation method based on professional index modeling analysis is provided, and the embodiment is exemplified by the method applied to computer equipment. In this embodiment, the method includes the steps of:
step S110, constructing a project investment evaluation index system aiming at a power grid project to be evaluated.
Wherein the project investment evaluation index system may be an index system for evaluating project investment.
Wherein, the grid project may include a grid marketing project, and the grid marketing project may include a grid marketing skill improvement project.
In the specific implementation, the computer equipment can construct a project investment evaluation index system aiming at the power grid project to be evaluated according to the influence factors of the power grid project investment evaluation.
Specifically, the computer device may employ analytic hierarchy process to construct a project investment evaluation index system, which generally includes a target layer, a criterion layer, and an index layer. The target layer is a strategic target and development plan, the criterion layer is formulated based on strict and measurable targets and performance requirements, the target layer can help users to achieve the preset strategic target, and the index layer reflects specific index conditions.
Step S120, determining a data monitoring method corresponding to an evaluation index related to the project investment evaluation index system according to the project category and the evaluation object corresponding to each power grid project to be evaluated.
Wherein, the project category may include at least one of engineering category, goods category, service category.
Wherein, the evaluation object can comprise at least one of a city power supply bureau, a metering center and a customer service center.
Wherein, the evaluation index related to the project investment evaluation index system can refer to an investment evaluation index.
In a specific implementation, the computer device can determine a data monitoring method corresponding to the evaluation index related to the project investment evaluation index system according to the project category and the evaluation object corresponding to each power grid project to be evaluated.
Further, in the process of determining a data monitoring method corresponding to an evaluation index related to a project investment evaluation index system according to project types and evaluation objects corresponding to each power grid project to be evaluated, the computer equipment can subdivide the evaluation index related to the project investment evaluation index system into specific calculation indexes according to each project type (engineering type, goods type and service type) and each evaluation object (ground power supply bureau, metering center and customer service center) and respectively give out specific parameters of each evaluation index; and analyzing the evaluation index from the source target system.
Step S130, determining an evaluation standard of the evaluation index according to an index preset value interval corresponding to the evaluation index.
The index preset value interval can be an index reasonable value interval.
In a specific implementation, the computer device may preset a value interval according to an index corresponding to the evaluation index, and determine an evaluation criterion of the evaluation index.
Step S140, according to the data monitoring method corresponding to the evaluation index, the index monitoring data corresponding to the power grid projects to be evaluated under the evaluation index are counted.
The index monitoring data comprise project completion conditions and project output effects.
In some embodiments, the project output effect may be an effect of the grid project output under a key evaluation index.
In specific implementation, the computer device may count the project completion condition and the project output effect corresponding to each power grid project to be evaluated under the evaluation index according to the data monitoring method corresponding to the evaluation index, and obtain the index monitoring data corresponding to each power grid project to be evaluated under the evaluation index according to the counted project completion condition and the counted project output effect corresponding to the evaluation index.
Taking a power grid project as an example of a power grid marketing technical improvement project, when counting project completion conditions of the power grid marketing technical improvement project, the computer equipment can acquire project progress conditions from the project implementation management module, calculate investment completion amount according to image progress rules, and analyze the same ratio conditions.
Taking a power grid project as an example of a power grid marketing technique improvement project, when the project output effect of the power grid marketing technique improvement project is counted, the computer equipment can count the project production situation of the power grid marketing technique improvement project, and specifically, can acquire information such as actual production amount, production time, production scale and the like of the actual production of the last year and the actual non-production project of the last year plan production from the project implementation management module.
And step S150, outputting investment evaluation results corresponding to all the power grid projects according to the evaluation standard of the evaluation index and index monitoring data corresponding to all the power grid projects to be evaluated.
The investment evaluation result is used for making investment decisions for the user to carry out the power grid project.
Wherein the investment evaluation result includes an evaluation score.
In a specific implementation, the computer device can output investment evaluation results corresponding to all power grid projects according to the evaluation standard of the evaluation index and index monitoring data corresponding to all power grid projects to be evaluated.
In some embodiments, the computer device may determine a score of the index monitoring data corresponding to the grid item under the evaluation index according to the evaluation standard of the evaluation index, and then obtain an evaluation score corresponding to the grid item under the project investment evaluation index system according to the score of the index monitoring data corresponding to the grid item under the evaluation index and the index weight corresponding to the corresponding evaluation index in the project investment evaluation index system, so as to obtain the investment evaluation result according to the evaluation score. Specifically, the computer device may perform weighted summation according to the scores of the index monitoring data corresponding to the power grid project under each evaluation index and the index weights corresponding to the corresponding evaluation indexes, so as to obtain the evaluation scores corresponding to the power grid project under the project investment evaluation index system.
The evaluation criteria of the evaluation index may include an index preset value interval corresponding to the evaluation index, and different scores are provided in different value intervals. The computer equipment can compare the index monitoring data corresponding to the power grid project under the evaluation index with the index preset value interval corresponding to the evaluation index, and determine the interval to which the index monitoring data corresponding to the power grid project under the evaluation index belongs so as to obtain the score of the index monitoring data corresponding to the power grid project under the evaluation index.
Thus, the user can make investment decisions on the power grid projects according to the investment evaluation results corresponding to the power grid projects. In practical application, a user can make an investment decision on the power grid marketing technical improvement project according to the investment evaluation results corresponding to the power grid marketing technical improvement projects so as to improve the fund use efficiency of the power grid project investment.
In the investment evaluation method based on professional index modeling analysis,
the quantitative evaluation index can be provided by constructing an item investment evaluation index system aiming at the power grid item to be evaluated, and a data monitoring method corresponding to the evaluation index related to the item investment evaluation index system is determined according to the item category and the evaluation object corresponding to each power grid item to be evaluated; meanwhile, presetting a value interval according to an index corresponding to the evaluation index, and determining an evaluation standard of the evaluation index; then, according to a data monitoring method corresponding to the evaluation index, calculating index monitoring data corresponding to each power grid project to be evaluated under the evaluation index; finally, according to the evaluation standard of the evaluation index and index monitoring data corresponding to each power grid project to be evaluated, outputting an investment evaluation result corresponding to each power grid project so as to enable a user to make investment decisions on the power grid projects; therefore, the realization of realizing the implementation of the investment evaluation index to a single project can integrate the multidimensional index monitoring data, accurately reflect the investment condition of the power grid project, provide data support for project investment, provide expected value creation capability, improve index benefits and other quantifiable output when the project stands, thereby being capable of providing users for more accurate investment decision optimization aiming at the power grid project and effectively improving the resource utilization efficiency of the power grid project investment.
In one embodiment, as shown in fig. 2, step S140 includes counting index monitoring data corresponding to each grid item to be evaluated under the evaluation index according to the data monitoring method corresponding to the evaluation index, including steps S210 to S220.
Step S210, graphically analyzing the project completion condition and the project output effect of each power grid project to be evaluated under the evaluation index according to the data monitoring method corresponding to the evaluation index.
In the specific implementation, in the process of counting the project completion condition and the project output effect of each power grid project to be evaluated under the evaluation index according to the data monitoring method corresponding to the evaluation index, the computer equipment can perform graphical analysis on the project completion condition and the project output effect of each power grid project to be evaluated under the evaluation index to obtain the graphical analysis result of each power grid project under the evaluation index.
In practical applications, the graphical analysis result may include at least one of a histogram, a line graph, a scatter graph, a pie chart, a thermodynamic diagram, and a dashboard. For example, the histogram may be used to compare the completion of different items under various evaluation indexes, such as comparing the cost, efficiency, safety, etc. of different items; the line graph can be used for displaying the change trend of the project at different time points, such as the change trend of cost, efficiency and the like with time. The scatter diagram is adopted to show the relation between two indexes of different projects, such as the relation between cost and efficiency, the relation between safety and environmental protection, and the like; the cake diagram can be used for showing the proportion of various indexes in the whole, such as project cost composition, various energy proportion and the like; the data density and distribution can be displayed by adopting thermodynamic diagrams, and the aggregation and dispersion of the data can be clearly displayed; the instrument panel can intuitively display the completion condition of each index of the project, and the whole condition of the project can be seen at a glance.
Step S220, displaying the graphical analysis results corresponding to the power grid projects.
In a specific implementation, the computer equipment can display the graphical analysis result of each power grid project under the evaluation index.
According to the technical scheme of the embodiment, through a data monitoring method corresponding to the evaluation index, the project completion condition and the project output effect of each power grid project to be evaluated under the evaluation index are graphically analyzed; and displaying the graphical analysis results corresponding to the power grid projects. Therefore, based on the evaluation indexes related to the project investment evaluation index system, the project completion condition and the project output effect of the power grid project are graphically analyzed, so that the project completion condition and the project output effect of the power grid project can be more intuitively displayed, investment decisions can be better made by users, and the resource utilization rate is improved.
In one embodiment, statistics of index monitoring data corresponding to each power grid item to be evaluated under the evaluation index includes: counting the project completion condition and the project output effect of the power grid project to be evaluated, which belong to any project category, under the evaluation index aiming at any project category in the project categories to obtain index monitoring data corresponding to any project category; and/or counting the project completion condition and the project output effect of the power grid project corresponding to the evaluation of any evaluation object under the evaluation index aiming at any evaluation object in all evaluation objects to obtain index monitoring data corresponding to any evaluation object.
Each power grid project to be evaluated has a project category and a corresponding evaluation object.
The evaluation target may be an evaluation unit in practical application.
In a specific implementation, the computer device may count, for any item category in each item category, the item completion condition and the item output effect of the grid item to be evaluated belonging to the any item category under the evaluation index, so as to obtain index monitoring data corresponding to the any item category. Thus, based on the same method, the computer equipment can obtain index monitoring data corresponding to each item category, and can adopt the evaluation standard of the evaluation index, and output the evaluation score corresponding to each item category according to the evaluation standard of the evaluation index and the index monitoring data corresponding to each item category, thereby obtaining the investment evaluation result corresponding to each item category.
In addition, the computer device may count, for any evaluation object of the evaluation objects, the project completion condition and the project output effect of the grid project to be evaluated, which belongs to the any evaluation object, under the evaluation index, and obtain index monitoring data corresponding to the any evaluation object. Thus, based on the same method, the computer device can obtain the index monitoring data corresponding to each evaluation object, and can adopt the evaluation standard of the evaluation index, and output the evaluation score corresponding to each evaluation object according to the evaluation standard of the evaluation index and the index monitoring data corresponding to each evaluation object, thereby obtaining the investment evaluation result corresponding to each evaluation object.
In practical application, the computer device may count one of the investment evaluation results corresponding to each evaluation object or the investment evaluation results corresponding to each item class, or may count two investment evaluation results, i.e., the investment evaluation result corresponding to each evaluation object and the investment evaluation result corresponding to each item class.
In addition, in the process of counting index monitoring data corresponding to each evaluation object, the computer equipment in the practical application can also graphically analyze the project completion condition and project output effect of each evaluation object under the evaluation index; and displaying the graphical analysis results corresponding to the evaluation objects. In the process of counting index monitoring data corresponding to each item category, the item completion condition and the item output effect of each item category under the evaluation index can be graphically analyzed; and displaying the graphical analysis results corresponding to the categories of the items.
According to the technical scheme, according to any item category in all item categories, the item completion condition and the item output effect of the power grid item to be evaluated, which belong to any item category, under the evaluation index are counted, so that index monitoring data corresponding to any item category are obtained; and/or counting the project completion condition and the project output effect of the power grid project corresponding to the evaluation of any evaluation object under the evaluation index aiming at any evaluation object in all evaluation objects to obtain index monitoring data corresponding to any evaluation object. Therefore, the investment evaluation index can be realized to be implemented on a single project, and the overall macro evaluation of the evaluation object or a certain project type can be formed through the total analysis of each project, so that a user can perform more accurate investment decision optimization on the power grid project, and the resource utilization efficiency of the power grid project investment is effectively improved.
In one embodiment, the evaluation indicators include technical indicators and economic indicators; according to the data monitoring method corresponding to the evaluation index, the index monitoring data corresponding to the power grid projects to be evaluated under the evaluation index are counted, and the method comprises the following steps: for any one of the power grid projects to be evaluated, monitoring at least one data of automatic terminal coverage rate, automatic meter reading rate, third party satisfaction, complaint rate, power supply reliability, annual average power failure time, electricity selling electronic settlement rate and practical evaluation score of an automatic system of the any one of the power grid projects according to a data monitoring method corresponding to the evaluation index, and obtaining index monitoring data corresponding to the any one of the power grid projects under the technical index; and monitoring at least one data of average service life of terminal equipment of any power grid project, current year electricity fee recovery rate, electricity fee error rate, electricity sales quantity, electricity replacement and increased electricity consumption quantity, obtaining power index and virtual resource change data according to a data monitoring method corresponding to the evaluation index, and obtaining index monitoring data corresponding to any power grid project under the economic index.
In specific implementation, the evaluation index may include a technical index and an economic index, and in the process that the computer equipment counts index monitoring data corresponding to each power grid item to be evaluated under the evaluation index according to a data monitoring method corresponding to the evaluation index, the computer equipment may monitor at least one data of an automatic terminal coverage rate, an automatic meter reading rate, a third party satisfaction, a million customer complaint rate, a power supply reliability rate, an annual average power failure time, an electricity selling electronic settlement rate and an automation system practical evaluation score of any power grid item to be evaluated according to the data monitoring method corresponding to the evaluation index, so as to obtain index monitoring data corresponding to the any power grid item under the technical index; and monitoring at least one of the average service life of the terminal equipment of any power grid project, the current year electricity fee recovery rate, the electricity fee error rate, the sales electricity quantity, the electricity replacement and income increasing electricity quantity, the obtained electricity index and the virtual resource change data according to the data monitoring method corresponding to the evaluation index, and obtaining index monitoring data corresponding to any power grid project under the economic index. The electricity sales amount may include ten thousand-element fixed asset electricity sales amount, for example, ten thousand-element fixed asset electricity sales amount of approximately 5 years.
Thus, according to the same method, the computer equipment can obtain the index monitoring data corresponding to each power grid project to be evaluated under the economic index and the index monitoring data corresponding to each power grid project under the technical index.
In practical application, the technical indexes can comprise reliability indexes, and the computer equipment can carry out statistics and analysis aiming at planning, planning and actual completion conditions of the reliability evaluation indexes, and obtain corresponding index monitoring data under the reliability indexes by counting the power supply reliability rate corresponding to the power grid project, the annual average power failure time of clients and the like.
Wherein the virtual resource change data may include at least one of a net asset rate, an equity liability rate, and a scrapped equity rate. Further, when the computer equipment monitors the virtual resource change data of the power grid project, the net asset gain rate of the last 5 years, the tens of thousands of units of the fixed asset sales quantity of the last 5 years, the liability rate of the last 5 years and the net value rate of the waste asset reported in the last 5 years can be obtained from the financial system.
According to the technical scheme, the evaluation indexes comprise technical indexes and economic indexes; according to the method, at least one data of the automatic terminal coverage rate, the automatic meter reading rate, the third party satisfaction, the complaint rate, the power supply reliability, the annual average power failure time, the electricity selling electronic settlement rate and the practical evaluation score of an automatic system of any power grid project is monitored according to the data monitoring method corresponding to the evaluation index, so that index monitoring data corresponding to any power grid project under the technical index is obtained; and monitoring at least one data of average service life of terminal equipment of any power grid project, current year electricity fee recovery rate, electricity fee error rate, electricity sales quantity, electricity replacement and increased electricity consumption quantity, obtaining power index and virtual resource change data according to a data monitoring method corresponding to the evaluation index, and obtaining index monitoring data corresponding to any power grid project under the economic index. Therefore, the investment evaluation is taken as a guide, the development target is combined, the macroscopic target is decomposed into specific economic indexes and technical indexes, the data monitoring under the economic indexes and the technical indexes is carried out, the multi-dimensional index monitoring data can be synthesized, the investment condition of the power grid project can be accurately reflected, the data support is provided for project investment, the realizability of the target is enhanced, and the power grid project is facilitated to carry out more accurate investment decision optimization.
In one embodiment, determining the evaluation criterion of the evaluation index according to the index preset value interval corresponding to the evaluation index includes: classifying the evaluation indexes into control type indexes, observation type indexes and trend type indexes; the control class index is an evaluation index for providing a target standard for the development characteristics of the power grid project; the observation index is an evaluation index for carrying out stage qualitative analysis on the development of the power grid; the trend index is an evaluation index conforming to the development trend of the power grid; determining an evaluation standard of the control type index according to an index preset value interval corresponding to the control type index; presetting a value interval according to an index corresponding to the observation index, and determining an evaluation standard of the observation index; and determining the evaluation standard of the trend indexes according to the index preset value interval corresponding to the trend indexes.
In a specific implementation, in the process of determining the evaluation standard of the evaluation index according to the index preset value interval corresponding to the evaluation index, the computer equipment can divide the evaluation index into different categories and determine the evaluation standard of the evaluation index of different categories according to the index preset value interval corresponding to the evaluation index of different categories.
Specifically, the evaluation index may be classified into three types, i.e., a control type index, an observation type index, and a trend type index. Wherein, the control class index is used for providing the evaluation index of the target standard aiming at the development characteristic of the power grid project; the observation index is an evaluation index for carrying out stage qualitative analysis on the development of the power grid; the trend index is an evaluation index conforming to the development trend of the power grid.
Thus, the computer equipment can preset a value interval according to the index corresponding to the control type index, and determine the evaluation standard of the control type index; presetting a value interval according to an index corresponding to the observation index, and determining an evaluation standard of the observation index; and determining an evaluation standard of the trend indexes according to the index preset value interval corresponding to the trend indexes so as to realize investment evaluation on the power grid project by adopting the multi-dimensional evaluation index standard.
According to the technical scheme, the evaluation indexes are classified into the control indexes, the observation indexes and the trend indexes; the control class index is an evaluation index for providing a target standard for the development characteristics of the power grid project; the observation index is an evaluation index for carrying out stage qualitative analysis on the development of the power grid; the trend index is an evaluation index conforming to the development trend of the power grid; determining an evaluation standard of the control type index according to an index preset value interval corresponding to the control type index; presetting a value interval according to an index corresponding to the observation index, and determining an evaluation standard of the observation index; and determining the evaluation standard of the trend indexes according to the index preset value interval corresponding to the trend indexes. Thus, the development of the power grid project is comprehensively and systematically analyzed and evaluated through the evaluation of the control indexes, the observation indexes and the trend indexes. The target standard of the development of the power grid project can be determined through evaluation of the control type index, and the actual development condition of the project is monitored and regulated; by evaluating the observation indexes, qualitative analysis can be performed on the development stage of the power grid project, and a reference is provided for the next development of the project; through evaluation of trend indexes, the trend of the power grid can be known, and a basis is provided for future development planning of projects. Therefore, the system can comprehensively control the class indexes, the observation class indexes and the trend class indexes to provide scientific basis for investment decisions of the power grid project, and promote sustainable and healthy development of the power grid project.
In practical application, the application scenario of the evaluation index related to the project investment evaluation index system can be divided into four stages: an expected outcome maintenance phase, a planning and research project phase, an investment decision phase and an investment scale phase. Wherein:
and in the expected achievement maintenance stage, the middle-long expected achievement target is formulated to guide the direction of project stand by a strategic target.
And in the planning and research project stage, expected effect information is associated in the planning project and research project links.
And in the investment decision stage, the auxiliary projects preferably view the expected effect of each unit in the selected project range in the investment decision link. Specifically, in the investment decision link, according to the investment plan submitted by each unit, provincial companies can check the expected results of each unit and the overall expected results of the whole provincial;
in the investment scale stage, in the investment scale decomposition link, investment evaluation results are utilized to place annual investment with each city power supply bureau (directly affiliated institution) into scale arrangement hooks.
Formulating a medium-and-long-term expected achievement target: formulating a target value of five-year planning based on indexes in the investment evaluation index system, and guiding the direction of project standing by a strategic target;
making individual project legislation expected to be successful: the system has the advantages that a sound input-output mechanism is adopted when a project stands, investment decision making and investment plan making are assisted, and a scientific, standard and efficient investment decision level is provided for a manager;
The project is preferably: selecting the items according to the dimensions of investment strategies, item preference categories and the like, and analyzing the benefit conditions of output aiming at the preferred combination of different dimensions so as to assist in rapidly completing investment item preference under the condition of limited funds;
auxiliary investment scale decomposition (one): and evaluating the project plan completion condition, project management normalization condition, investment benefit condition and core output index condition. The evaluation result is used for placing the investment of each annual time with the power supply bureau (the affiliated institution) of each local city to scale and placing the evaluation result with the performance assessment of the present year;
auxiliary investment scale decomposition (two): the investment evaluation result is utilized to put the annual investment with each district power supply bureau (directly affiliated institution) to scale and arrange hooks; and balancing the investment scale of the calendar year according to the investment requirements of the calendar year, the investment scale of the calendar year, the current year investment evaluation result and the current year investment requirements to form next year investment scale advice, and assisting in scientific and efficient decomposition of the investment scale.
Thus, the investment evaluation is used as a gripper, the investment concept is changed, the investment effectiveness is practically improved, and the benefit output and the value creation capability of the quantifiable index are improved; investment evaluation is used as a guide, and a development target of a company is combined, so that a macroscopic target is decomposed into specific indexes, and the realizability of the target is enhanced; deepening investment evaluation application, annual investment planning and improving important references of investment decision level.
For ease of understanding by those skilled in the art, FIG. 3 provides a schematic diagram of a marketing technique improvement project investment evaluation application architecture. As shown in fig. 3, the application framework is divided into: investment completion, production, investment strategy arrangement, investment evaluation score analysis, index detection analysis, basic data and system management.
Wherein, the investment completion condition includes: the overall completion of the investment plan and the investment structure. Wherein, the overall completion situation of the investment plan comprises a unit investment completion situation (the overall situation of the marketing technique improvement investment completion, a single letter of the marketing technique improvement completion situation table of the last five years) and a unit investment plan execution situation; the investment structure conditions include a new renewal condition (marketing technique improvement investment completion condition), an out-of-plan project condition, and a significant investment project condition.
The production scheduling conditions comprise production scheduling execution conditions and long-term account-hanging condition management. Wherein, the execution condition of the production schedule comprises the completion condition of the marketing technique improvement production schedule; long term checkout condition management includes marketing techniques improving long term checkout item conditions.
Wherein the investment policy arrangement situation comprises an investment policy situation and an investment direction situation. Wherein the investment strategy conditions comprise marketing technique changing new project investment strategy arrangement; the investment direction conditions include investment arrangement conditions and the individual sub-division professional investment conditions of the recent five-year marketing technique.
Wherein the investment evaluation score analysis includes each unit evaluation score, each item category evaluation score, and a single item evaluation score.
The index monitoring analysis comprises monitoring technical indexes and economic indexes. Specific monitoring content refers to the description in the above embodiments, and is not described herein.
Wherein the basic data includes index threshold management and index rule setting. Wherein the index threshold management includes setting an index threshold; the index rule setting includes index items (engineering, goods, service) of interest for each item type, index item weights of interest for each item type, and index scoring rules.
The system management comprises authority management, wherein the authority management comprises authority setting and authority authorization.
It should be noted that the specific limitation of the above description may be referred to as the specific limitation of an investment evaluation method based on a professional index modeling analysis.
In another embodiment, as shown in fig. 4, there is provided an investment evaluation method based on professional index modeling analysis, which is described as an example of application to computer equipment, including the steps of:
step S410, constructing a project investment evaluation index system aiming at a power grid project to be evaluated.
Step S420, determining a data monitoring method corresponding to an evaluation index related to the project investment evaluation index system according to the project category and the evaluation object corresponding to each power grid project to be evaluated.
Step S430, presetting a value interval according to an index corresponding to the evaluation index, and determining an evaluation standard of the evaluation index.
Step S440, graphically analyzing the project completion condition and the project output effect of each power grid project to be evaluated under the evaluation index according to the data monitoring method corresponding to the evaluation index.
And S450, outputting investment evaluation results corresponding to all the power grid projects according to the evaluation standard of the evaluation index and index monitoring data corresponding to all the power grid projects to be evaluated.
It should be noted that, the specific limitation of the above steps may be referred to as the specific limitation of an investment evaluation method based on a professional index modeling analysis.
It should be understood that, although the steps in the flowcharts related to the embodiments described above are sequentially shown as indicated by arrows, these steps are not necessarily sequentially performed in the order indicated by the arrows. The steps are not strictly limited to the order of execution unless explicitly recited herein, and the steps may be executed in other orders. Moreover, at least some of the steps in the flowcharts described in the above embodiments may include a plurality of steps or a plurality of stages, which are not necessarily performed at the same time, but may be performed at different times, and the order of the steps or stages is not necessarily performed sequentially, but may be performed alternately or alternately with at least some of the other steps or stages.
Based on the same inventive concept, the embodiment of the application also provides an investment evaluation device based on the professional index modeling analysis for realizing the investment evaluation method based on the professional index modeling analysis. The implementation scheme of the solution provided by the device is similar to the implementation scheme described in the above method, so specific limitations in one or more embodiments of the investment evaluation device based on the professional index modeling analysis provided below can be referred to above for a limitation of an investment evaluation method based on the professional index modeling analysis, which is not repeated herein.
In an exemplary embodiment, as shown in fig. 5, there is provided an investment evaluation apparatus based on a professional index modeling analysis, including: a building module 510, a method determination module 520, a criteria determination module 530, a statistics module 540, and an evaluation module 540, wherein:
a construction module 510 is configured to construct a project investment evaluation index system for a grid project to be evaluated.
The method determining module 520 is configured to determine a data monitoring method corresponding to an evaluation index related to the project investment evaluation index system according to a project category and an evaluation object corresponding to each to-be-evaluated power grid project.
The standard determining module 530 is configured to determine an evaluation standard of the evaluation index according to an index preset value interval corresponding to the evaluation index.
The statistics module 540 is configured to count index monitoring data corresponding to the evaluation indexes of each to-be-evaluated power grid item according to a data monitoring method corresponding to the evaluation indexes; the index monitoring data comprises project completion and project yield effects.
The evaluation module 550 is configured to output an investment evaluation result corresponding to each power grid project according to an evaluation criterion of the evaluation index and index monitoring data corresponding to each power grid project to be evaluated; and the investment evaluation result is used for making investment decisions for the power grid project by the user.
In one embodiment, the statistics module 540 is specifically configured to graphically analyze, according to a data monitoring method corresponding to the evaluation index, a project completion condition and a project output effect of each of the grid projects to be evaluated under the evaluation index; and displaying the graphical analysis results corresponding to the power grid projects.
In one embodiment, the statistics module 540 is specifically configured to, for any one of the project categories, count, for a project completion condition and a project output effect of a grid project to be evaluated belonging to the any one project category under the evaluation index, and obtain index monitoring data corresponding to the any one project category; and/or counting the project completion condition and the project output effect of the power grid project to be evaluated corresponding to any evaluation object under the evaluation index aiming at any evaluation object in the evaluation objects to obtain index monitoring data corresponding to the any evaluation object.
In one embodiment, the evaluation module 550 is specifically configured to obtain an investment evaluation result corresponding to the any evaluation object according to an evaluation criterion of the evaluation index and index monitoring data corresponding to the any evaluation object; and/or obtaining an investment evaluation result corresponding to any item category according to the evaluation standard of the evaluation index and the index monitoring data corresponding to any item category.
In one embodiment, the evaluation index includes a technical index and an economic index; the statistics module 540 is specifically configured to monitor, for any one of the power grid items to be evaluated, at least one data of an automation terminal coverage rate, an automatic meter reading rate, a third party satisfaction, a complaint rate, a power supply reliability rate, an annual average power failure time, an electronic settlement rate of electricity selling, and an automation system practical evaluation score of the any one of the power grid items according to a data monitoring method corresponding to the evaluation index, so as to obtain index monitoring data corresponding to the any one of the power grid items under the technical index; and monitoring at least one of the average service life of the terminal equipment of any power grid project, the current year electricity fee recovery rate, the electricity fee error rate, the sales electricity quantity, the electricity replacement and charge increase quantity, the obtained electricity index and the virtual resource change data according to the data monitoring method corresponding to the evaluation index, and obtaining index monitoring data corresponding to any power grid project under the economic index.
In one embodiment, the standard determining module 530 is specifically configured to classify the evaluation index into a control class index, an observation class index and a trend class index; the control class index is an evaluation index for providing a target standard for the development characteristics of the power grid project; the observation indexes are evaluation indexes for carrying out stage qualitative analysis on the development of the power grid; the trend index is an evaluation index conforming to the development trend of the power grid; determining an evaluation standard of the control type index according to an index preset value interval corresponding to the control type index; determining an evaluation standard of the observation type index according to an index preset value interval corresponding to the observation type index; and determining an evaluation standard of the trend index according to an index preset value interval corresponding to the trend index.
Each module in the investment evaluation device based on professional index modeling analysis can be fully or partially realized by software, hardware and combination thereof. The above modules may be embedded in hardware or may be independent of a processor in the computer device, or may be stored in software in a memory in the computer device, so that the processor may call and execute operations corresponding to the above modules.
In an exemplary embodiment, a computer device, which may be a terminal, is provided, and an internal structure diagram thereof may be as shown in fig. 6. The computer device includes a processor, a memory, an input/output interface, a communication interface, a display unit, and an input means. The processor, the memory and the input/output interface are connected through a system bus, and the communication interface, the display unit and the input device are connected to the system bus through the input/output interface. Wherein the processor of the computer device is configured to provide computing and control capabilities. The memory of the computer device includes a non-volatile storage medium and an internal memory. The non-volatile storage medium stores an operating system and a computer program. The internal memory provides an environment for the operation of the operating system and computer programs in the non-volatile storage media. The input/output interface of the computer device is used to exchange information between the processor and the external device. The communication interface of the computer device is used for carrying out wired or wireless communication with an external terminal, and the wireless mode can be realized through WIFI, a mobile cellular network, NFC (near field communication) or other technologies. The computer program, when executed by the processor, implements an investment assessment method based on a professional index modeling analysis. The display unit of the computer device is used for forming a visual picture, and can be a display screen, a projection device or a virtual reality imaging device. The display screen can be a liquid crystal display screen or an electronic ink display screen, and the input device of the computer equipment can be a touch layer covered on the display screen, can also be a key, a track ball or a touch pad arranged on the shell of the computer equipment, and can also be an external keyboard, a touch pad or a mouse and the like.
It will be appreciated by those skilled in the art that the structure shown in fig. 6 is merely a block diagram of some of the structures associated with the present application and is not limiting of the computer device to which the present application may be applied, and that a particular computer device may include more or fewer components than shown, or may combine certain components, or have a different arrangement of components.
In an embodiment, there is also provided a computer device comprising a memory and a processor, the memory having stored therein a computer program, the processor implementing the steps of the method embodiments described above when the computer program is executed.
In one embodiment, a computer-readable storage medium is provided, on which a computer program is stored which, when executed by a processor, carries out the steps of the method embodiments described above.
In an embodiment, a computer program product is provided, comprising a computer program which, when executed by a processor, implements the steps of the method embodiments described above.
It should be noted that, the user information (including, but not limited to, user equipment information, user personal information, etc.) and the data (including, but not limited to, data for analysis, stored data, presented data, etc.) referred to in the present application are information and data authorized by the user or sufficiently authorized by each party, and the collection, use, and processing of the related data are required to meet the related regulations.
Those skilled in the art will appreciate that implementing all or part of the above described methods may be accomplished by way of a computer program stored on a non-transitory computer readable storage medium, which when executed, may comprise the steps of the embodiments of the methods described above. Any reference to memory, database, or other medium used in the various embodiments provided herein may include at least one of non-volatile and volatile memory. The nonvolatile Memory may include Read-Only Memory (ROM), magnetic tape, floppy disk, flash Memory, optical Memory, high density embedded nonvolatile Memory, resistive random access Memory (ReRAM), magnetic random access Memory (Magnetoresistive Random Access Memory, MRAM), ferroelectric Memory (Ferroelectric Random Access Memory, FRAM), phase change Memory (Phase Change Memory, PCM), graphene Memory, and the like. Volatile memory can include random access memory (Random Access Memory, RAM) or external cache memory, and the like. By way of illustration, and not limitation, RAM can be in the form of a variety of forms, such as static random access memory (Static Random Access Memory, SRAM) or dynamic random access memory (Dynamic Random Access Memory, DRAM), and the like. The databases referred to in the various embodiments provided herein may include at least one of relational databases and non-relational databases. The non-relational database may include, but is not limited to, a blockchain-based distributed database, and the like. The processors referred to in the embodiments provided herein may be general purpose processors, central processing units, graphics processors, digital signal processors, programmable logic units, quantum computing-based data processing logic units, etc., without being limited thereto.
The technical features of the above embodiments may be arbitrarily combined, and all possible combinations of the technical features in the above embodiments are not described for brevity of description, however, as long as there is no contradiction between the combinations of the technical features, they should be considered as the scope of the description.
The above examples only represent a few embodiments of the present application, which are described in more detail and are not to be construed as limiting the scope of the present application. It should be noted that it would be apparent to those skilled in the art that various modifications and improvements could be made without departing from the spirit of the present application, which would be within the scope of the present application. Accordingly, the scope of protection of the present application shall be subject to the appended claims.

Claims (10)

1. An investment evaluation method based on professional index modeling analysis, which is characterized by comprising the following steps:
constructing a project investment evaluation index system aiming at a power grid project to be evaluated;
determining a data monitoring method corresponding to an evaluation index related to the project investment evaluation index system according to the project category and the evaluation object corresponding to each power grid project to be evaluated;
Determining an evaluation standard of the evaluation index according to an index preset value interval corresponding to the evaluation index;
according to the data monitoring method corresponding to the evaluation index, calculating index monitoring data corresponding to each power grid project to be evaluated under the evaluation index; the index monitoring data comprise project completion conditions and project output effects;
outputting investment evaluation results corresponding to all the power grid projects according to the evaluation standard of the evaluation index and index monitoring data corresponding to all the power grid projects to be evaluated; and the investment evaluation result is used for making investment decisions for the power grid project by the user.
2. The method according to claim 1, wherein the calculating, according to the data monitoring method corresponding to the evaluation index, index monitoring data corresponding to each of the grid items to be evaluated under the evaluation index includes:
according to a data monitoring method corresponding to the evaluation index, graphically analyzing the project completion condition and the project output effect of each power grid project to be evaluated under the evaluation index;
and displaying the graphical analysis results corresponding to the power grid projects.
3. The method according to claim 1, wherein said counting index monitoring data corresponding to each of the grid items to be evaluated under the evaluation index includes:
Counting the project completion condition and the project output effect of the power grid project to be evaluated belonging to any project category under the evaluation index aiming at any project category in the project categories to obtain index monitoring data corresponding to the any project category;
and/or the number of the groups of groups,
and counting the project completion condition and the project output effect of the power grid project to be evaluated corresponding to any evaluation object under the evaluation index aiming at any evaluation object in the evaluation objects to obtain index monitoring data corresponding to the any evaluation object.
4. A method according to claim 3, wherein the outputting the investment evaluation result corresponding to each of the grid projects according to the evaluation criterion of the evaluation index and the index monitoring data corresponding to each of the grid projects to be evaluated comprises:
obtaining an investment evaluation result corresponding to any evaluation object according to the evaluation standard of the evaluation index and index monitoring data corresponding to any evaluation object;
and/or the number of the groups of groups,
and obtaining an investment evaluation result corresponding to any item category according to the evaluation standard of the evaluation index and index monitoring data corresponding to any item category.
5. The method of claim 1, wherein the evaluation metrics include a technical metric and an economic metric; the method for monitoring the data corresponding to the evaluation index counts the index monitoring data corresponding to the power grid items to be evaluated under the evaluation index, and comprises the following steps:
for any one of the power grid projects to be evaluated, monitoring at least one data of automatic terminal coverage rate, automatic meter reading rate, third party satisfaction, complaint rate, power supply reliability rate, annual average power failure time, electricity selling electronic settlement rate and automation system practical evaluation score of the any one of the power grid projects according to a data monitoring method corresponding to the evaluation index, and obtaining index monitoring data corresponding to the any one of the power grid projects under the technical index;
the method comprises the steps of,
and according to the data monitoring method corresponding to the evaluation index, monitoring at least one of average service life of terminal equipment of any power grid project, current year electricity fee recovery rate, electricity fee error rate, electricity sales quantity, electricity replacement and charge increment quantity, obtaining power index and virtual resource change data, and obtaining index monitoring data corresponding to any power grid project under the economic index.
6. The method according to claim 1, wherein the determining the evaluation criterion of the evaluation index according to the index preset value interval corresponding to the evaluation index includes:
classifying the evaluation index into a control class index, an observation class index and a trend class index; the control class index is an evaluation index for providing a target standard for the development characteristics of the power grid project; the observation indexes are evaluation indexes for carrying out stage qualitative analysis on the development of the power grid; the trend index is an evaluation index conforming to the development trend of the power grid;
determining an evaluation standard of the control type index according to an index preset value interval corresponding to the control type index;
determining an evaluation standard of the observation type index according to an index preset value interval corresponding to the observation type index;
and determining an evaluation standard of the trend index according to an index preset value interval corresponding to the trend index.
7. An investment assessment apparatus based on professional index modeling analysis, the apparatus comprising:
the construction module is used for constructing a project investment evaluation index system aiming at a power grid project to be evaluated;
The method determining module is used for determining a data monitoring method corresponding to an evaluation index related to the project investment evaluation index system according to the project category and the evaluation object corresponding to each power grid project to be evaluated;
the standard determining module is used for determining an evaluation standard of the evaluation index according to an index preset value interval corresponding to the evaluation index;
the statistics module is used for counting index monitoring data corresponding to the power grid items to be evaluated under the evaluation indexes according to a data monitoring method corresponding to the evaluation indexes; the index monitoring data comprise project completion conditions and project output effects;
the evaluation module is used for outputting investment evaluation results corresponding to the power grid projects according to the evaluation standard of the evaluation index and index monitoring data corresponding to the power grid projects to be evaluated; and the investment evaluation result is used for making investment decisions for the power grid project by the user.
8. A computer device comprising a memory and a processor, the memory storing a computer program, characterized in that the processor implements the steps of the method of any of claims 1 to 6 when the computer program is executed.
9. A computer readable storage medium, on which a computer program is stored, characterized in that the computer program, when being executed by a processor, implements the steps of the method of any of claims 1 to 6.
10. A computer program product comprising a computer program, characterized in that the computer program, when being executed by a processor, implements the steps of the method of any of claims 1 to 6.
CN202311838860.8A 2023-12-28 2023-12-28 Investment evaluation method based on professional index modeling analysis Pending CN117852815A (en)

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