Power grid reserve project evaluation method and device

Abstract

The invention discloses a power grid reserve project evaluation method and device. The method comprises the steps of obtaining evaluation data of a power grid reserve project; determining a target project description model according to the evaluation data; determining a target element chain according to the target project description model; and determining an evaluation result of the power grid reserve project according to the target element chain. Project features in multiple evaluation angles in an evaluation process of evaluating a power grid reserve project are represented by constructing a target project description model, and then a target element chain indicating evaluation elements of the power grid reserve project in multiple evaluation levels is determined according to the target project description model. Therefore, the evaluation result is determined according to the target element chain, project description can be carried out on the power grid reserve project from an actual evaluation business cooperation scene, project management requirements are better met, the evaluation efficiency is higher, project description is more accurate, the obtained evaluation result is more comprehensive and accurate, and the method is suitable for popularization and application. Therefore, the evaluation efficiency and accuracy of evaluating the power grid reserve project are improved.

Description

Technical Field

[0001] The present application relates to the field of information processing technology, and in particular to a method and device for evaluating power grid reserve projects. Background Art

[0002] Evaluating power grid reserve projects is an important part of achieving the rational allocation and effective utilization of resources. In the existing technology, the economic benefits of power grid reserve projects are usually determined by calculating the data of different power grid reserve projects through a unified evaluation process. However, since different power grid reserve projects correspond to different evaluation processes, the unified process is difficult to meet the project management needs in the actual evaluation business collaboration scenario, resulting in insufficient accuracy and comprehensiveness in the characterization of power grid reserve projects, resulting in low evaluation efficiency and accuracy of power grid reserve project evaluation. Therefore, how to improve the evaluation efficiency and accuracy of power grid reserve project evaluation has become a technical problem that needs to be further solved. Summary of the Invention

[0003] This application proposes a power grid reserve project evaluation method and device to solve the problem of low evaluation efficiency and accuracy in evaluating power grid reserve projects, and to improve the evaluation efficiency and accuracy of power grid reserve projects.

[0004] In a first aspect, an embodiment of the present application provides a power grid reserve project evaluation method, which is applied to a server in a power grid reserve project evaluation system. The method includes:

[0005] Acquiring evaluation data of a power grid reserve project, wherein the evaluation data is used to characterize a project status of the power grid reserve project;

[0006] Determining a target project characterization model based on the evaluation data, the target project characterization model is used to characterize project characteristics of the power grid reserve project from multiple evaluation perspectives in a target evaluation business collaboration scenario, the target evaluation business collaboration scenario is used to characterize an evaluation process for evaluating the power grid reserve project, and the multiple evaluation perspectives are used to characterize multiple directions for evaluating the power grid reserve project;

[0007] Determining a target element chain according to the target project characterization model, wherein the target element chain is used to indicate evaluation elements of the power grid reserve project in multiple evaluation levels, and the multiple evaluation levels are used to represent multiple dimensions of evaluating the power grid reserve project;

[0008] An evaluation result of the power grid reserve project is determined based on the target element chain.

[0009] In a second aspect, an embodiment of the present application provides a power grid reserve project evaluation device, which is applied to a server in a power grid reserve project evaluation system, and the device includes:

[0010] A first receiving unit is configured to obtain evaluation data of a power grid reserve project, wherein the evaluation data is used to characterize a project status of the power grid reserve project;

[0011] A first processing unit is configured to determine a target project characterization model based on the evaluation data, the target project characterization model being used to characterize project characteristics of the power grid reserve project in multiple evaluation perspectives in a target evaluation business collaboration scenario, the target evaluation business collaboration scenario being used to characterize an evaluation process for evaluating the power grid reserve project, and the multiple evaluation perspectives being used to characterize multiple directions for evaluating the power grid reserve project; determine a target element chain based on the target project characterization model, the target element chain being used to indicate evaluation elements of the power grid reserve project in multiple evaluation levels, and the multiple evaluation levels being used to characterize multiple dimensions for evaluating the power grid reserve project; and determine an evaluation result of the power grid reserve project based on the target element chain.

[0012] In a third aspect, an embodiment of the present application provides a server comprising a processor, a memory, and one or more programs, wherein the one or more programs are stored in the memory and configured to be executed by the processor, and the program comprises instructions for executing the steps in the method described in any one of the first aspects.

[0013] In a fourth aspect, an embodiment of the present application provides a computer-readable storage medium having a computer program / instruction stored thereon, which, when executed by a processor, implements the steps of the method described in any one of the first aspects.

[0014] In a fifth aspect, an embodiment of the present application provides a computer program product, including a computer program / instruction, which, when executed by a processor, implements part or all of the steps of the method described in any one of the first aspects of the embodiment of the present application.

[0015] It can be seen that in this application, the server obtains evaluation data of the power grid reserve project, and the evaluation data is used to characterize the project situation of the power grid reserve project; the target project characterization model is determined based on the evaluation data, and the target project characterization model is used to characterize the project characteristics of the power grid reserve project in multiple evaluation angles in the target evaluation business collaboration scenario, and the target evaluation business collaboration scenario is used to characterize the evaluation process for evaluating the power grid reserve project, and multiple evaluation angles are used to characterize multiple directions of evaluating the power grid reserve project; the target element chain is determined based on the target project characterization model, and the target element chain is used to indicate the evaluation elements of the power grid reserve project in multiple evaluation levels, and multiple evaluation levels are used to characterize multiple dimensions of evaluating the power grid reserve project; the evaluation result of the power grid reserve project is determined based on the target element chain. In this way, by constructing a target project characterization model to characterize the project characteristics in multiple evaluation perspectives in the evaluation process of evaluating power grid reserve projects, and then determining the target element chain of evaluation elements indicating the power grid reserve projects in multiple evaluation levels based on the target project characterization model, and thus determining the evaluation results based on the target element chain, the power grid reserve projects can be characterized based on the actual evaluation business collaboration scenario, which is not only more in line with project management needs and more efficient in evaluation, but also more accurate in project characterization, making the obtained evaluation results more comprehensive and accurate, thereby improving the evaluation efficiency and accuracy of power grid reserve projects. BRIEF DESCRIPTION OF THE DRAWINGS

[0016] In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, the following briefly introduces the drawings required for use in the embodiments or the description of the prior art. Obviously, the drawings described below are only some embodiments of the present application. For ordinary technicians in this field, other drawings can be obtained based on these drawings without any creative work.

[0017] Figure 1 This is a schematic diagram of the structure of a power grid reserve project evaluation system provided in an embodiment of the present application;

[0018] Figure 2 This is a schematic diagram of the structure of a server in a power grid reserve project evaluation system provided in an embodiment of the present application;

[0019] Figure 3 This is a flow chart of a method for evaluating a power grid reserve project provided in an embodiment of the present application;

[0020] Figure 4 This is a flow chart of another power grid reserve project evaluation method provided in an embodiment of the present application;

[0021] Figure 5 This is a flow chart of another power grid reserve project evaluation method provided in an embodiment of the present application;

[0022] Figure 6 This is a scenario diagram of a power grid reserve project evaluation method provided by an embodiment of the present application;

[0023] Figure 7 This is a block diagram of the functional units of a power grid reserve project evaluation method and apparatus provided in an embodiment of the present application;

[0024] Figure 8 This is a block diagram of the functional units of another power grid reserve project evaluation method and device provided in an embodiment of the present application;

[0025] Figure 9 This is a structural block diagram of a server provided in an embodiment of the present application. DETAILED DESCRIPTION

[0026] In order to enable those skilled in the art to better understand the present invention, the following will clearly and completely describe the technical solutions in the embodiments of the present invention in conjunction with the accompanying drawings. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of this application.

[0027] The terms "first," "second," and the like in the specification and claims of this application and the accompanying drawings are used to distinguish between different objects, not to describe a particular order. Furthermore, the terms "including," "having," and any variations thereof, are intended to cover non-exclusive inclusions. For example, a process, method, system, product, or apparatus comprising a series of steps or elements is not limited to the listed steps or elements but may optionally include steps or elements not listed, or may optionally include other steps or elements inherent to the process, method, product, or apparatus.

[0028] References herein to "embodiments" mean that a particular feature, structure, or characteristic described in connection with the embodiments may be included in at least one embodiment of the present application. The appearance of this phrase in various places in the specification does not necessarily refer to the same embodiment, nor does it constitute an independent or alternative embodiment that is mutually exclusive of other embodiments. It is understood, both explicitly and implicitly, by those skilled in the art that the embodiments described herein may be combined with other embodiments.

[0029] In the embodiments of this application, "and / or" describes the relationship between associated objects and indicates that three relationships can exist. For example, "A and / or B" can represent the following three situations: A exists alone; A and B exist simultaneously; and B exists alone. A and B can be singular or plural.

[0030] In the embodiments of the present application, the symbol " / " can indicate that the preceding and following objects are in an "or" relationship. In addition, the symbol " / " can also represent a division sign, that is, performing a division operation. For example, A / B can mean A divided by B.

[0031] In the embodiments of the present application, "at least one item" or similar expressions refers to any combination of these items, including any combination of single items or plural items, and refers to one or more, and multiple refers to two or more. For example, at least one item (item) of a, b, or c can represent the following seven situations: a, b, c, a and b, a and c, b and c, a, b, and c. Among them, each of a, b, and c can be an element or a set containing one or more elements.

[0032] In the embodiments of this application, "equal to" can be used in conjunction with "greater than" and is applicable to the technical solution adopted when "greater than" is used, and can also be used in conjunction with "less than" and is applicable to the technical solution adopted when "less than" is used. When "equal to" is used in conjunction with "greater than", it should not be used in conjunction with "less than"; when "equal to" is used in conjunction with "less than", it should not be used in conjunction with "greater than".

[0033] In order to better understand the solutions of the embodiments of the present application, the terminal devices, related concepts and backgrounds that may be involved in the embodiments of the present application are first introduced below.

[0034] (1) Grid reserve projects: engineering projects that are planned and reserved in advance to meet the future development needs of the grid, improve grid reliability and flexibility, and cope with various uncertainties.

[0035] (2) Business collaboration scenario: A specific situation in which all parties involved in the business collaborate and cooperate in the overall process in which different business processes are intertwined and connected.

[0036] The rational allocation of power grid project reserves is a crucial component in achieving high-quality development. However, current quality control of project reserves has led to the emergence of poorly designed and immature projects entering the reserve, making project decision-making risks difficult to control. As new power systems evolve, the scale of power grid projects is increasing. Strengthening project management is crucial for achieving the rational allocation and effective utilization of resources, maximizing investment efficiency and benefits across all areas of the power grid, optimizing operational results, and achieving high-quality development.

[0037] Evaluating power grid reserve projects is an important part of achieving the rational allocation and effective utilization of resources. In the existing technology, the economic benefits of power grid reserve projects are usually determined by calculating the data of different power grid reserve projects through a unified evaluation process. However, since different power grid reserve projects correspond to different evaluation processes, the unified process is difficult to meet the project management needs in the actual evaluation business collaboration scenario, resulting in insufficient accuracy and comprehensiveness in the characterization of power grid reserve projects, resulting in low evaluation efficiency and accuracy of power grid reserve project evaluation. Therefore, how to improve the evaluation efficiency and accuracy of power grid reserve project evaluation has become a technical problem that needs to be further solved.

[0038] To solve the above problems, an embodiment of the present application provides a power grid reserve project evaluation method and device. The method characterizes the project characteristics in multiple evaluation perspectives in the evaluation process of evaluating the power grid reserve project by constructing a target project characterization model, and then determines the target element chain indicating the evaluation elements of the power grid reserve project in multiple evaluation levels according to the target project characterization model, so as to determine the evaluation result according to the target element chain. The power grid reserve project can be characterized based on the actual evaluation business collaboration scenario, which is not only more in line with project management needs and more efficient in evaluation, but also more accurate in project characterization, so that the obtained evaluation results are more comprehensive and accurate, thereby improving the evaluation efficiency and accuracy of the power grid reserve project evaluation.

[0039] See also Figure 1 , Figure 1 This is a schematic diagram of the structure of a power grid reserve project evaluation system provided by an embodiment of the present application. Figure 1 As shown, the power reserve project evaluation system 100 includes a terminal device 110 and a server 120, wherein the terminal device 110 is in communication with the server 120. The terminal device 110 can be a mobile phone, a computer, etc., and the server 120 can be a single server or a server group consisting of multiple servers.

[0040] In daily use of the power grid reserve project evaluation system 100, the server 120 obtains evaluation data of the power grid reserve project, and the evaluation data is used to characterize the project status of the power grid reserve project; a target project characterization model is determined based on the evaluation data, and the target project characterization model is used to characterize the project characteristics of the power grid reserve project in multiple evaluation angles in the target evaluation business collaboration scenario, and the target evaluation business collaboration scenario is used to characterize the evaluation process of evaluating the power grid reserve project, and multiple evaluation angles are used to characterize multiple directions of evaluating the power grid reserve project; a target element chain is determined based on the target project characterization model, and the target element chain is used to indicate the evaluation elements of the power grid reserve project in multiple evaluation levels, and multiple evaluation levels are used to characterize multiple dimensions of evaluating the power grid reserve project; and an evaluation result of the power grid reserve project is determined based on the target element chain.

[0041] See also Figure 2 , Figure 2 This is a schematic diagram of the structure of a server in a power grid reserve project evaluation system provided by an embodiment of the present application. Figure 2 As shown, the server 120 includes a processor 210 and a memory 220, and the processor 210 is communicatively connected to the memory 220. One or more programs are stored in the memory 220, and the one or more programs are configured to be executed by the processor 210. The functions of the one or more programs are to obtain evaluation data of the power grid reserve project, the evaluation data is used to characterize the project status of the power grid reserve project; determine the target project characterization model based on the evaluation data, the target project characterization model is used to characterize the project characteristics of the power grid reserve project in multiple evaluation angles in the target evaluation business collaboration scenario, the target evaluation business collaboration scenario is used to characterize the evaluation process of evaluating the power grid reserve project, and multiple evaluation angles are used to characterize multiple directions of evaluating the power grid reserve project; determine the target element chain based on the target project characterization model, the target element chain is used to indicate the evaluation elements of the power grid reserve project in multiple evaluation levels, and the multiple evaluation levels are used to characterize multiple dimensions of evaluating the power grid reserve project; and determine the evaluation result of the power grid reserve project based on the target element chain.

[0042] The following describes a method for evaluating a power grid reserve project provided by an embodiment of the present application.

[0043] See also Figure 3 , Figure 3 This is a flow chart of a method for evaluating a power grid reserve project provided by an embodiment of the present application, which is applied to Figure 1The server 120 in the power grid reserve project evaluation system 100 shown in the figure includes a terminal device 110 and a server 120, wherein the terminal device 110 is in communication with the server 120. The terminal device 110 may be a mobile phone, a computer, etc., and the server 120 may be a single server or a server group consisting of multiple servers. Figure 3 As shown, the method includes the following steps:

[0044] Step S310: Obtain evaluation data of the power grid reserve project.

[0045] The evaluation data is used to characterize the project status of the power grid reserve project.

[0046] The evaluation data includes multiple documents such as project feasibility study reports, policy and strategy documents, corporate strategy documents, and project review opinions.

[0047] Step S320: determining a target project characterization model based on the evaluation data.

[0048] Among them, the target project characterization model is used to characterize the project characteristics of the power grid reserve project in multiple evaluation angles in the target evaluation business collaboration scenario, the target evaluation business collaboration scenario is used to characterize the evaluation process for evaluating the power grid reserve project, and the multiple evaluation angles are used to characterize multiple directions of evaluating the power grid reserve project.

[0049] Among them, the multiple evaluation angles can cut into the power grid reserve project from a higher-level perspective and clarify the evaluation path for evaluating the power grid reserve project.

[0050] Among them, the target evaluation business collaboration scenario is a business collaboration scenario for evaluating the power grid reserve project.

[0051] In a possible embodiment, determining the target project characterization model based on the evaluation data includes: determining a target scenario metamodel based on the evaluation data, the target scenario metamodel being used to characterize the scenario composition of the target evaluation business collaboration scenario; and determining the target project characterization model based on the target scenario metamodel.

[0052] Among them, the target scenario meta-model can map the evaluation process corresponding to the power grid reserve project to the functional domain of the power grid reserve project evaluation system, thereby realizing the mapping of evaluation requirements to evaluation functions.

[0053] It can be seen that in this example, the target scenario metamodel that represents the scenario composition of the target evaluation business collaboration scenario is determined based on the evaluation data, and the mapping of evaluation requirements to evaluation functions is realized. Then, the target project characterization model is determined based on the target scenario metamodel, which can make the target project characterization model better meet the needs of the evaluation business collaboration scenario, fit the project management needs, have higher evaluation efficiency, and more accurate characterization of the project, making the obtained evaluation results more comprehensive and accurate, thereby improving the evaluation efficiency and accuracy of the power grid reserve project evaluation.

[0054] In a possible embodiment, determining the target scenario metamodel based on the evaluation data includes: determining a target construction element set based on the evaluation data, the target construction element set is used to indicate key elements of the target evaluation business collaboration scenario, and the key elements are used to characterize scenario characteristics or project characteristics corresponding to the target evaluation business collaboration scenario; determining a target scenario structure based on the target construction element set, the target scenario structure is used to characterize the model architecture of the target evaluation business collaboration scenario; and determining the target scenario metamodel based on the target scenario structure.

[0055] The target construction element set includes a first key element and a second key element, and determining the target construction element set based on the evaluation data includes: determining the first key element based on the evaluation data; and determining the second key element based on the evaluation data and the first key element.

[0056] The determining of the first key element according to the evaluation data may specifically include: performing concept extraction on the evaluation data to obtain the first key element.

[0057] The determining of the second key element based on the evaluation data and the first key element may specifically be: expanding the relationship between the first key element and different first key elements to obtain the second key element.

[0058] Among them, determining the target scene structure according to the target construction element set can specifically be: determining the scene description, scene agent, scene object, scene state, scene action, and scene resource according to the target construction element set; determining the target scene structure according to the scene description, the scene agent, the scene object, the scene state, the scene action, and the scene resource, and the target scene structure includes a bottom scene layer, a middle scene layer, and a top scene layer.

[0059] Among them, the scenario description is used to indicate the evaluation requirements in the target evaluation business collaboration scenario, the scenario agent is used to indicate the person or thing that interacts with the power grid reserve project evaluation system in the target evaluation business collaboration scenario, the scenario object is used to indicate the relevant entities in the target business evaluation collaboration scenario, including the power grid reserve project evaluation system itself and entities related to the power grid reserve project evaluation system, the scenario state is used to indicate the process stage of evaluating the power grid reserve project in the target business evaluation collaboration scenario, the scenario action is used to indicate the evaluation steps of evaluating the power grid reserve project in the target business evaluation collaboration scenario, and the scenario resources are used to characterize the resources required in the target evaluation business collaboration scenario.

[0060] Among them, the bottom scenario layer is used to indicate the operational steps for evaluating the power grid reserve project in the target business evaluation collaborative scenario, the middle scenario layer is used to indicate the specific business scenario for evaluating the power grid reserve project in the target business evaluation collaborative scenario, and the top scenario layer is used to indicate the abstract scenario for evaluating the power grid reserve project in the target business evaluation collaborative scenario.

[0061] Among them, determining the target scene metamodel based on the target scene structure can specifically be: simulating and analyzing the target scene structure to determine whether the target scene structure is correct and complete, and obtaining a judgment result; if the judgment result is no, iteratively optimizing the target scene structure to obtain an updated target scene structure; re-simulating and analyzing the target scene structure; if the judgment result is yes, performing scene modeling according to the target scene structure to obtain the target scene metamodel.

[0062] It can be seen that in this example, the target construction element set is determined according to the evaluation data, and then the target scenario structure is determined according to the target construction element set, so that the target scenario metamodel is determined according to the target scenario structure, and then the target project characterization model is determined according to the target scenario metamodel. This can make the target project characterization model more meet the needs of evaluating business collaboration scenarios, fit the needs of project management, have higher evaluation efficiency, and more accurate characterization of the project, making the obtained evaluation results more comprehensive and accurate, thereby improving the evaluation efficiency and accuracy of the evaluation of power grid reserve projects.

[0063] In a possible embodiment, determining the target project characterization model based on the target scenario metamodel includes: determining multiple target angle information based on the evaluation data, the multiple target angle information being characteristic information of the power grid reserve project in the multiple evaluation angles; and determining the target project characterization model based on the multiple target angle information and the target scenario metamodel.

[0064] Among them, determining the target project characterization model based on the multiple target angle information and the target scene metamodel can specifically be: determining the basic framework of the target project characterization model based on the target scene metamodel; determining the feature mapping relationship between the multiple target angle information and the basic framework; determining the target project characterization model based on the multiple target angle information and the feature mapping relationship.

[0065] Among them, the basic framework of the target project characterization model is determined according to the target scenario metamodel, for example, it can be: parsing the target scenario metamodel, determining that the important components for evaluating the power grid reserve project include scenario agent, scenario state, scenario action, and scenario resource, and then determining the scenario agent, scenario state, scenario action, and scenario resource as the basic framework.

[0066] Wherein, the feature mapping relationship between the multiple target angle information and the basic framework can be determined specifically by: determining the position of the multiple target angle information in the basic framework through a mapping matrix or ontology association to obtain the feature mapping relationship. For example, when the multiple target angle information includes project theme information, project structure information and project quality information, and the scenario agent in the basic framework includes a strategic planning department, a financial department and a technical department, the position of the strategic information in the project theme information in the basic framework falls into the strategic planning department, the position of the cost information in the project quality information in the basic framework falls into the financial department, and the position of the innovative information in the project quality information falls into the technical department, thereby obtaining the feature mapping relationship between each target angle information and the basic framework.

[0067] The determining of the target item characterization model based on the multiple target angle information and the feature mapping relationship may specifically be: embedding the multiple target angle information into the target scene meta-model according to the feature mapping relationship to obtain the target item characterization model.

[0068] Among them, see Figure 4 , Figure 4 This is a flow chart of another method for evaluating a power grid reserve project provided by an embodiment of the present application. Figure 4 As shown, the step of determining the target project characterization model based on the evaluation data includes the following steps:

[0069] Step S3211: Determine a target construction element set based on the evaluation data.

[0070] The target construction element set is used to indicate key elements of the target evaluation business collaboration scenario, and the key elements are used to characterize scenario features or project features corresponding to the target evaluation business collaboration scenario.

[0071] Step S3212: determining a target scene structure according to the target construction element set.

[0072] The target scenario structure is used to characterize the model architecture of the target evaluation business collaboration scenario.

[0073] Step S3213: Determine the target scene meta-model according to the target scene structure.

[0074] Step S3221: Determine multiple target angle information based on the evaluation data.

[0075] The multiple target angle information is characteristic information of the power grid reserve project in the multiple evaluation angles.

[0076] Step S3222: Determine the target item characterization model based on the multiple target angle information and the target scene meta-model.

[0077] It can be seen that in this example, multiple target angle information is obtained based on the evaluation data, and then the target project characterization model is determined based on the multiple target angle information and the target scenario metamodel. This can make the target project characterization model better meet the needs of evaluating business collaboration scenarios, fit the project management needs, and have higher evaluation efficiency. Moreover, the characterization model of the project covers multi-angle information and is more accurate, making the obtained evaluation results more comprehensive and accurate, thereby improving the evaluation efficiency and accuracy of the power grid reserve project evaluation.

[0078] In a possible embodiment, the multiple evaluation angles include a project theme angle, a project structure angle, and a project quality angle, and the multiple target angle information include project theme information, project structure information, and project quality information. The project theme information corresponds to the project theme angle, the project structure information corresponds to the project structure angle, and the project quality information corresponds to the project quality angle. Determining the multiple target angle information based on the evaluation data includes: obtaining a preset theme model; determining the project theme information based on the evaluation data and the theme model; determining the project structure information based on the structured information of the evaluation data; obtaining a preset feature extraction model; and determining the project quality information based on the evaluation data and the feature extraction model.

[0079] The topic model may specifically be a generative probability model, such as an LDA topic model.

[0080] The project topic information includes document topic distribution and topic word distribution. The document topic distribution is used to characterize the distribution of the probability of the project topic in the evaluation data. The topic word distribution is used to characterize the distribution of the probability of the words related to each project topic in the evaluation data. The project topic information is determined based on the evaluation data and the topic model. Specifically, the evaluation data is input into the topic model to obtain the document topic distribution and the topic word distribution. For example, the document topic distribution of the evaluation data is 90% rural power grid topics and 10% urban power grid topics. The topic word distribution related to the rural power grid topic is "rural" 70%, "insulation" 49%, "power supply radius" 47%, etc.

[0081] In which, the structured information can be specifically determined according to any at least one of the following steps: determining the structured information according to preset grammatical rules and the evaluation data; determining the structured information according to a preset regular expression and the evaluation data; determining the structured information according to a preset bag-of-words model and the evaluation data; performing relationship extraction on the evaluation data according to a preset deep learning model to obtain the structured information.

[0082] The determining of the project structure information according to the structured information of the evaluation data may specifically be: generating the project structure information according to the structured information and the project subject information.

[0083] The feature extraction model may specifically be a text weighting algorithm model, such as a TF-IDF algorithm model.

[0084] The evaluation data includes multiple documents, and the TF-IDF algorithm model includes the following formula:

[0085]

[0086] Among them, TF is the term frequency that represents the frequency of a word appearing in a document, and IDF is the inverse document frequency that represents the general importance of a word. The fewer documents containing a word, the larger the IDF, which means that the word has a good ability to distinguish categories and contributes more to the weight of the word. Otherwise, the contribution is smaller.

[0087] Among them, determining the project quality information based on the evaluation data and the feature extraction model can specifically be: importing the evaluation data into the TF-IDF algorithm model to obtain multiple TF-IDF values, and the multiple TF-IDF values are used to characterize the rarity of corresponding words, and the rarity is used to indicate the content quality characteristics of the evaluation data.

[0088] It can be seen that in this example, the evaluation angle information from the project theme angle, project structure angle and project quality angle is determined respectively according to the evaluation data, and multiple target evaluation angle information is obtained, which realizes the comprehensive determination of the characteristic information of the power grid reserve project from multiple angles, thereby making the determined target project characterization model more accurate, and making the obtained evaluation results more comprehensive and accurate, thereby improving the evaluation efficiency and accuracy of the power grid reserve project evaluation.

[0089] Step S330: determining a target element chain according to the target project characterization model.

[0090] The target element chain is used to indicate evaluation elements of the power grid reserve project in multiple evaluation levels, and the multiple evaluation levels are used to represent multiple dimensions of evaluating the power grid reserve project.

[0091] Among them, the target element chain can cut into the power grid reserve project from the lower dimensions and conduct specific evaluation of the power grid reserve project in multiple dimensions.

[0092] In a possible embodiment, determining the target element chain based on the target project characterization model includes: determining multiple evaluation characteristics based on the multiple evaluation levels, the multiple evaluation characteristics being the evaluation characteristics of the power grid reserve project in the multiple evaluation levels; and determining the target element chain based on the multiple evaluation characteristics and the target project characterization model.

[0093] Among them, the multiple evaluation levels include economic level, feasibility level, innovation level, timeliness level and stability level; the economic level is used to evaluate the economic efficiency of the power grid reserve project; the feasibility level is used to evaluate the feasibility of the power grid reserve project under external conditions; the innovation level is used to evaluate the innovation of the power grid reserve project; the timeliness level is used to evaluate the timeliness of the power grid reserve project; the stability level is used to evaluate the possibility of project technology and project equipment failure of the power grid reserve project.

[0094] Among them, the evaluation characteristics of the economic level can be, for example, the evaluation of costs and benefits; the evaluation characteristics of the feasibility level can be, for example, the evaluation of environmental feasibility, policy feasibility and scale feasibility; the evaluation characteristics of the innovation level can be, for example, the evaluation of project technology innovation and project equipment innovation; the evaluation characteristics of the timeliness level can be, for example, the evaluation of strategic timeliness; the evaluation characteristics of the stability level can be, for example, the evaluation of project equipment stability, project technology stability and the possibility of change.

[0095] The determining of the target element chain based on the multiple evaluation characteristics and the target project characterization model may specifically include: determining multiple evaluation factors based on the multiple evaluation characteristics and the target project characterization model, the multiple evaluation factors being used to characterize the project characteristics of the power grid reserve project corresponding to the multiple evaluation characteristics; and determining the target element chain based on the multiple evaluation factors. For example, if the project characteristics characterized by the target project characterization model are "emergency," "rural power grid," and "facility renewal," then among the multiple evaluation factors, the environmental feasibility evaluation characteristic at the feasibility level characterized by the feasibility level corresponds to the project characteristic of "rural power grid," the innovation level evaluation characteristic of the equipment innovation at the innovation level corresponds to the project characteristic of "facility renewal," and the strategic level evaluation characteristic of the strategic timeliness evaluation at the strategic level corresponds to the project characteristic of "emergency." The determined target element chain includes feasibility level-environmental feasibility-"rural power grid," innovation level-project equipment innovation-"facility renewal," and strategic level-strategic timeliness-"emergency."

[0096] It can be seen that in this example, the target factor chain is determined according to multiple evaluation characteristics of multiple evaluation levels and the target project characterization model, so that the target factor chain can accurately cover the key elements of the power grid reserve project in multiple evaluation levels, making the evaluation results obtained according to the target factor chain more comprehensive and accurate, thereby improving the evaluation efficiency and accuracy of the power grid reserve project.

[0097] Step S340: determining the evaluation result of the power grid reserve project according to the target element chain.

[0098] In a possible embodiment, determining the evaluation result of the power grid reserve project based on the target element chain includes: obtaining a preset indicator mapping relationship table, the indicator mapping relationship table is used to characterize the mapping relationship between the multiple evaluation levels and the multiple evaluation indicators; determining the target evaluation indicator according to the target element chain and the indicator mapping relationship table, the target evaluation indicator is the evaluation indicator corresponding to the power grid reserve project in the multiple evaluation levels; determining the target evaluation model according to the target evaluation indicator, the target evaluation model is used to indicate the definition and calculation formula of the corresponding evaluation indicator; and determining the evaluation result according to the target evaluation model.

[0099] Among them, see Figure 5 , Figure 5 This is a flow chart of another method for evaluating a power grid reserve project provided by an embodiment of the present application. Figure 5 As shown, the power grid reserve project evaluation method includes the following steps:

[0100] Step S310: Obtain evaluation data of the power grid reserve project.

[0101] The evaluation data is used to characterize the project status of the power grid reserve project.

[0102] Step S320: determining a target project characterization model based on the evaluation data.

[0103] Among them, the target project characterization model is used to characterize the project characteristics of the power grid reserve project in multiple evaluation angles in the target evaluation business collaboration scenario, the target evaluation business collaboration scenario is used to characterize the evaluation process for evaluating the power grid reserve project, and the multiple evaluation angles are used to characterize multiple directions of evaluating the power grid reserve project.

[0104] Step S331 : determining a plurality of evaluation characteristics according to the plurality of evaluation levels.

[0105] Among them, the multiple evaluation characteristics are the evaluation characteristics of the power grid reserve project in the multiple evaluation levels.

[0106] Step S332: determining the target element chain according to the multiple evaluation characteristics and the target project characterization model.

[0107] Step S341: Obtain a preset indicator mapping relationship table.

[0108] The indicator mapping relationship table is used to represent the mapping relationship between the multiple evaluation levels and the multiple evaluation indicators.

[0109] Step S342: determining target evaluation indicators based on the target element chain and the indicator mapping relationship table.

[0110] Among them, the target evaluation index is the evaluation index corresponding to the power grid reserve project in the multiple evaluation levels.

[0111] Step S343: determining a target evaluation model according to the target evaluation index.

[0112] The target evaluation model is used to indicate the definition and calculation formula of the corresponding evaluation indicators.

[0113] Step S344: determining the evaluation result according to the target evaluation model.

[0114] Among them, see Figure 6 , Figure 6 This is a scenario diagram of a power grid reserve project evaluation method provided by an embodiment of the present application. Figure 6As shown, the indicator mapping relationship table may specifically include an evaluation level column, an evaluation characteristic column, an evaluation indicator column and an indicator type column. The evaluation level column includes the economic level, the innovative level, the timeliness level, the stability level and the feasibility level. The evaluation characteristics of the economic level include benefits and costs, the evaluation characteristics of the innovative level include project technology innovation and project equipment innovation, the evaluation characteristics of the timeliness level include strategic timeliness, the evaluation characteristics of the stability level include project equipment stability, project technology stability and possibility of change, the evaluation characteristics of the feasibility level include environmental feasibility, policy feasibility and scale feasibility, and the indicator types include numerical type, score type and Boolean type.

[0115] Among them, the power supply increase per unit investment is used to represent the benefit level of power supply increase brought by unit investment. The corresponding evaluation model formula is as follows:

[0116] B1=(D e -D p ) / I T

[0117] Among them, B1 is the additional power supply per unit investment, unit: KWh / yuan; D e The power supply in the budget period after the project is put into operation, unit: KWh; D p The power supply in the previous period, unit: KWh; I T is the total investment cost of the project, unit: Yuan.

[0118] The power supply contribution rate (region) is used to represent the project's contribution to the power supply in the region to which it belongs. The corresponding evaluation model formula is as follows:

[0119] B2=(D e -D p ) / D p (R)

[0120] Among them, B2 is the power supply contribution rate (region); D e The power supply in the budget period after the project is put into operation, unit: KWh; R is the region to which the project belongs (overall line); D p (R) represents the total power supply of region R in the previous period, unit: KWh.

[0121] The power supply contribution rate (overall line) is used to represent the project's contribution to the power supply of the overall line. The corresponding evaluation model formula is as follows:

[0122] B3=(D e -D p ) / D p

[0123] Among them, B3 is the power supply contribution rate; D eThe power supply in the budget period after the project is put into operation, unit: KWh; D p The power supply in the previous period, unit: KWh.

[0124] The energy loss reduction per unit investment is used to characterize the energy loss reduction benefit level brought about by the unit investment. The corresponding evaluation model formula is as follows:

[0125] B4=D e ×(L p -L e ) / I T

[0126] Among them, B4 is the energy loss reduction per unit investment, unit: KWh / yuan; D e The power supply in the budget period after the project is put into operation, unit: KWh; L p is the line loss rate of the previous period; L e is the line loss rate during the budget period; I T is the total investment cost of the project, unit: Yuan.

[0127] Among them, the loss reduction contribution rate (region) is used to represent the contribution of the project to the loss reduction in the region to which it belongs;

[0128] B5=D e ×(L p -L e ) / (D p (R)×L p )

[0129] Among them, B5 is the contribution rate of loss reduction (region); D e The power supply in the budget period after the project is put into operation, unit: KWh; L p is the line loss rate of the previous period; L e is the line loss rate during the budget period; R is the project area (overall line); D p (R) represents the total power supply of region R in the previous period, unit: KWh.

[0130] The loss reduction contribution rate (overall line) is used to represent the contribution of the project to the loss reduction of the overall line. The corresponding evaluation model formula is as follows:

[0131] B6=D e ×(L p -L e ) / (D p ×L p )

[0132] Among them, B6 is the contribution rate of loss reduction (overall line); D e The power supply in the budget period after the project is put into operation, unit: KWh; D p The power supply in the previous period, unit: KWh; Lp is the line loss rate of the previous period; L e is the line loss rate during the budget period.

[0133] Among them, the equipment investment benefit is used to represent the benefits of equipment investment to this project and subsequent projects. The corresponding evaluation model formula is as follows:

[0134] B7=IB i +RB i +Quantitative Model

[0135]

[0136] Among them, B7 is the equipment investment benefit; IB i is the indirect benefit of the equipment, obtained through the quantitative model; RB i The equipment reuse benefit refers to the benefit contribution to subsequent projects; R ui is the device reuse rate; is the average investment cost of subsequent project equipment; F i is the contribution coefficient of the equipment to subsequent projects.

[0137] Among them, the technology investment benefit is used to represent the benefits of technology investment to this project and subsequent projects. The corresponding evaluation model formula is as follows:

[0138] B8=IB t +RB t +Quantitative Model

[0139]

[0140] Among them, B8 is the benefit of technology investment; IB t is the indirect benefit of technology, obtained through quantitative model; RB t The technology reuse benefit refers to the benefit contribution to subsequent projects; R ut is the technology reuse rate; is the average investment cost of subsequent project technology; F t is the contribution coefficient of technology to subsequent projects.

[0141] Among them, the difference in total investment benefits is used to characterize the level of total benefits; it can also be the total evaluation item of the above-mentioned benefit indicators; and it is analyzed through a preset model.

[0142] The unit capacity cost is an economic indicator set for grid reserve projects (facility-related) that add energy storage. It is used to characterize the construction funds spent per unit capacity. The corresponding evaluation model formula is as follows:

[0143] I1=I s / C e

[0144] Among them, I1 is the unit capacity cost, unit: yuan / kVA or yuan / MWh; I s C is the static investment of the project, unit: yuan; e To increase the energy storage capacity, unit: kVA or MWh.

[0145] The unit length cost is an economic indicator set for power grid line projects, which is used to characterize the construction funds spent per unit length. The corresponding evaluation model formula is as follows:

[0146] I2=I s / L

[0147] Among them, I2 is the unit length cost, unit: yuan / km; I s is the static investment of the project, unit: Yuan; L is the line length, unit: km.

[0148] The unit capacity length cost is an economic indicator set for overhead line projects, which is used to characterize the construction funds spent per unit capacity. The corresponding evaluation model formula is as follows:

[0149] I3=I s / (C t / L)

[0150] Among them, I3 is the unit capacity length cost, unit: yuan / kVA·km; I s C is the static investment of the project, unit: yuan; t is the economic transmission capacity of the line, unit: kVA; L is the line length, unit: km).

[0151] Among them, the unit capacity battery purchase cost is an economic indicator set for the grid reserve project (battery), which is used to characterize the battery purchase cost of the project. The corresponding evaluation model formula is as follows:

[0152] I4=P b / C b

[0153] Among them, I4 is the unit capacity battery purchase cost, unit: yuan / MWh; P b is the battery purchase cost, unit: yuan; C b Configure the battery capacity in MWh.

[0154] The unit capacity auxiliary component purchase cost is an economic indicator set for energy storage projects, which is used to characterize the purchase cost of the project's auxiliary components. The corresponding evaluation model formula is as follows:

[0155] I5=P c / C b

[0156] Among them, I5 is the purchase cost of auxiliary components per unit capacity, unit: yuan / MWh; P c The purchase cost of auxiliary components, unit: Yuan; C b Configure the battery capacity in MWh.

[0157] The unit area cost is an economic indicator set for small-scale power grid infrastructure projects, which is used to characterize the construction funds spent per unit area. The corresponding evaluation model formula is as follows:

[0158] I6=I T / S n

[0159] Among them, I6 is the unit area cost, unit: yuan / square meter; I T is the total investment cost of the project, unit: yuan; S n It is the building area, unit: square meter.

[0160] Among them, the economic efficiency of staffing is applicable to each special individual project and is used to characterize the economic efficiency of project staffing. The corresponding evaluation model formula is as follows:

[0161] E=I c / S w

[0162] Among them, E is the economic score set by individual project personnel; I c is labor cost, unit: yuan; S w Estimated total effort for labor.

[0163] Among them, equipment cost rationality is used to characterize equipment-related costs and their rationality. Model analysis is performed based on the standard reference price of each equipment. The corresponding evaluation model formula is as follows:

[0164] R1=∑|P s -I i |

[0165] Among them, R1 is the equipment cost rationality score; P s The standard reference price of the equipment, unit: Yuan; I i The investment cost of project equipment, unit: Yuan.

[0166] Among them, technology cost rationality is used to characterize technology-related costs and their rationality, taking into account technology reference costs and maintenance costs (combined with the cycle). The corresponding evaluation model formula is as follows:

[0167]

[0168] Among them, R2 is the rationality score of technology cost; It is the technology reference cost, unit: yuan; I n is the maintenance cost incurred during the technology application period; T is the technology application period.

[0169] Among them, the difference in total investment level is used to characterize the level of total cost and its rationality, mainly for comparison with historical projects; it can also be the total evaluation item of the above-mentioned cost indicators; and it is analyzed through a preset model.

[0170] Among them, the innovative equipment catalog is used to indicate whether the project equipment is equipment in the innovative equipment catalog.

[0171] Among them, the proportion of innovative equipment is used to represent the proportion of innovative equipment used in the project to the total equipment of the project. The corresponding evaluation model formula is as follows:

[0172] C1=A c / A t

[0173] Among them, C1 is the proportion of innovative equipment; A c Number of innovative equipment used for the project; A t The total number of devices used for the project.

[0174] Among them, the equipment development year is used to represent the development year of the project equipment.

[0175] Among them, the equipment investment year is used to represent the year when the project equipment is put into use.

[0176] Among them, equipment research and development funds are used to represent the investment funds for project equipment.

[0177] Among them, equipment-related literature is used to represent the research literature on project equipment in recent years.

[0178] Among them, the number of equipment-related patents is used to represent patents related to project equipment in recent years.

[0179] Among them, the equipment application rate is used to represent the utilization rate of project equipment in the industry.

[0180] Among them, the equipment innovation recognition rate (power industry) is used to represent the degree of public recognition of project equipment in the power industry.

[0181] Among them, the innovative technology catalogue is used to indicate whether the project equipment is a technology in the innovative technology catalogue.

[0182] Among them, the proportion of innovative technologies is used to represent the proportion of innovative technologies used in the project to the total technology of the project. The corresponding evaluation model formula is as follows:

[0183] C2=T c / T t

[0184] Among them, C2 is the proportion of innovative technology; T c The number of innovative technologies used for the project; T t The total number of technologies used for the project.

[0185] Among them, the technology research and development year is used to represent the research and development year of the project technology.

[0186] Among them, the technology investment year is used to represent the practical investment time of project technology.

[0187] Among them, technology research and development funds are used to represent the investment funds for project technology.

[0188] Among them, the number of technology-related documents is used to represent the research literature on project technology in recent years.

[0189] Among them, the number of technology-related patents is used to represent patents related to project technology in recent years.

[0190] Among them, the technology application rate is used to represent the technology utilization rate of projects in the industry.

[0191] Among them, the technology innovation recognition rate (power industry) is used to represent the degree of public recognition of project technology in the power industry.

[0192] Among them, whether it is a strategic project is used to indicate whether the project is a major strategic task (such as smart grid, east-west assistance).

[0193] Among them, whether the strategic plan can be completed (time) is used to indicate whether the project has completed the corresponding strategic tasks within the strategic planning period.

[0194] Among them, the equipment historical maintenance rate is used to characterize the historical maintenance status of the project equipment, that is, the stability of the equipment itself. The corresponding evaluation model formula is as follows:

[0195] S1=N r / N au

[0196] Among them, S1 is the historical maintenance rate of the equipment; N r N is the number of historical maintenance times of the equipment; au The number of historical applications on the device.

[0197] Among them, the expected average service life of the equipment is used to represent the average service life of the project equipment.

[0198] Among them, the equipment historical warning rate is used to characterize the historical warning situation of the project equipment. The corresponding evaluation model formula is as follows:

[0199] S2=N w / N au

[0200] Among them, S2 is the historical maintenance rate of the equipment; N w N is the number of historical warnings for the device; au The number of historical applications on the device.

[0201] Among them, the technical historical failure rate is used to characterize the maintenance status of the project's technical history, that is, the stability of the technology itself. The corresponding evaluation model formula is as follows:

[0202] S3=N f / N tu

[0203] Among them, S3 is the technical historical maintenance rate; N f is the number of technical failures in history; N tu The number of historical applications of the technology.

[0204] Among them, the technical mean time between failures is used to characterize the time between failures that the project technology can maintain. The corresponding evaluation model formula is as follows:

[0205]

[0206] Among them, S4 is the mean time between failures; T i is the time between failures of the technology i; N f The number of historical technical failures.

[0207] Among them, the design change possibility is used to represent the possibility of changes in project design.

[0208] Among them, budget change possibility is used to represent the possibility of change in the project budget.

[0209] Among them, the possibility of schedule change is used to represent the possibility of changes in the project schedule.

[0210] Among them, whether the site selection involves a nature reserve is used to indicate whether the site selection occupies a relevant nature reserve.

[0211] Among them, the environmental impact factor is used to characterize the impact of the surrounding environment on the project, including the acoustic environment, atmospheric environment, water environment, etc. The corresponding evaluation model formula is as follows:

[0212] F1=∑ω i ×E i

[0213] Among them, F1 is the environmental impact factor; ω i is the weight of the environmental indicator in dimension i; E i is the i-dimensional environmental indicator.

[0214] Among them, the environmental friendliness index is used to characterize the clean energy utilization of the project, and the corresponding evaluation model formula is as follows:

[0215] F2=R c / R t

[0216] Among them, F2 is the environmental friendliness index; R c Amount of clean energy used for the project; R t The total amount of natural resources absorbed for the project.

[0217] Among them, the policy constraint compliance is used to represent whether the project complies with national binding policies;

[0218] Among them, national standard compliance is used to indicate whether the project complies with national binding standards.

[0219] Among them, the total investment amount of the project is used to represent the scale of project investment.

[0220] Among them, the total number of project personnel is used to represent the scale of project personnel.

[0221] Among them, the total material scale of the project is used to represent the material scale of the project.

[0222] Among them, the target evaluation indicators are determined based on the target element chain and the indicator mapping relationship table. For example, it can be: the feasibility level in the target element chain - environmental feasibility - "rural power grid" The corresponding evaluation indicators in the indicator mapping relationship table include whether the site selection involves a nature reserve, then whether the site selection involves a nature reserve is one of the target evaluation indicators.

[0223] It can be seen that in this example, the target evaluation indicators are determined through the preset indicator mapping relationship table and the target element chain, and then the target evaluation model is determined based on the target evaluation indicators. Finally, the evaluation results are determined based on the target evaluation model. The power grid reserve project can be evaluated with key evaluation indicators, and data samples for evaluation based on the target element chain and the evaluation indicator source can be used, which improves the efficiency, accuracy and reliability of the evaluation of the power grid reserve project.

[0224] It can be seen that in this application, the server obtains evaluation data of the power grid reserve project, and the evaluation data is used to characterize the project situation of the power grid reserve project; the target project characterization model is determined based on the evaluation data, and the target project characterization model is used to characterize the project characteristics of the power grid reserve project in multiple evaluation angles in the target evaluation business collaboration scenario, and the target evaluation business collaboration scenario is used to characterize the evaluation process for evaluating the power grid reserve project, and multiple evaluation angles are used to characterize multiple directions of evaluating the power grid reserve project; the target element chain is determined based on the target project characterization model, and the target element chain is used to indicate the evaluation elements of the power grid reserve project in multiple evaluation levels, and multiple evaluation levels are used to characterize multiple dimensions of evaluating the power grid reserve project; the evaluation result of the power grid reserve project is determined based on the target element chain. In this way, by constructing a target project characterization model to characterize the project characteristics in multiple evaluation perspectives in the evaluation process of evaluating power grid reserve projects, and then determining the target element chain of evaluation elements indicating the power grid reserve projects in multiple evaluation levels based on the target project characterization model, and thus determining the evaluation results based on the target element chain, the power grid reserve projects can be characterized based on the actual evaluation business collaboration scenario, which is not only more in line with project management needs and more efficient in evaluation, but also more accurate in project characterization, making the obtained evaluation results more comprehensive and accurate, thereby improving the evaluation efficiency and accuracy of power grid reserve projects.

[0225] The above mainly introduces the solution of the embodiment of the present application from the perspective of the execution process on the method side. It is understandable that, in order to realize the above functions, the controller includes hardware structures and / or software modules corresponding to the execution of each function. Those skilled in the art should easily realize that, in combination with the units and algorithm steps of each example described in the embodiment provided herein, the present application can be implemented in the form of hardware or a combination of hardware and computer software. Whether a function is executed in the form of hardware or computer software driving hardware depends on the specific application and design constraints of the technical solution. Professional and technical personnel can use different methods to implement the described functions for each specific application, but such implementation should not be considered to be beyond the scope of this application.

[0226] In accordance with the above-mentioned embodiment, please refer to Figure 7 , Figure 7 This is a functional unit block diagram of a power grid reserve project evaluation method device provided by an embodiment of the present application, such as Figure 7As shown, the power grid reserve project evaluation method device 700 includes: a first receiving unit 701, used to obtain evaluation data of the power grid reserve project, and the evaluation data is used to characterize the project situation of the power grid reserve project; a first processing unit 702, used to determine a target project characterization model based on the evaluation data, and the target project characterization model is used to characterize the project characteristics of the power grid reserve project in multiple evaluation angles in a target evaluation business collaboration scenario, and the target evaluation business collaboration scenario is used to characterize the evaluation process of evaluating the power grid reserve project, and the multiple evaluation angles are used to characterize multiple directions of evaluating the power grid reserve project; determining a target element chain based on the target project characterization model, and the target element chain is used to indicate the evaluation elements of the power grid reserve project in multiple evaluation levels, and the multiple evaluation levels are used to characterize multiple dimensions of evaluating the power grid reserve project; and determining the evaluation result of the power grid reserve project based on the target element chain.

[0227] In a possible embodiment, in terms of determining the target project characterization model based on the evaluation data, the first processing unit 702 is specifically used to: determine a target scenario metamodel based on the evaluation data, the target scenario metamodel being used to characterize the scenario composition of the target evaluation business collaboration scenario; and determine the target project characterization model based on the target scenario metamodel.

[0228] In one possible embodiment, in terms of determining the target scenario metamodel based on the evaluation data, the first processing unit 702 is specifically used to: determine a target construction element set based on the evaluation data, the target construction element set is used to indicate key elements of the target evaluation business collaboration scenario, and the key elements are used to characterize scenario characteristics or project characteristics corresponding to the target evaluation business collaboration scenario; determine a target scenario structure based on the target construction element set, and the target scenario structure is used to characterize the model architecture of the target evaluation business collaboration scenario; determine the target scenario metamodel based on the target scenario structure.

[0229] In one possible embodiment, in terms of determining the target project characterization model based on the target scenario metamodel, the first processing unit 702 is specifically used to: determine multiple target angle information based on the evaluation data, the multiple target angle information being characteristic information of the power grid reserve project in the multiple evaluation angles; and determine the target project characterization model based on the multiple target angle information and the target scenario metamodel.

[0230] In a possible embodiment, the multiple evaluation angles include a project theme angle, a project structure angle, and a project quality angle, and the multiple target angle information include project theme information, project structure information, and project quality information. The project theme information corresponds to the project theme angle, the project structure information corresponds to the project structure angle, and the project quality information corresponds to the project quality angle. In terms of determining the multiple target angle information based on the evaluation data, the first processing unit 702 is specifically used to: obtain a preset theme model; determine the project theme information based on the evaluation data and the theme model; determine the project structure information based on the structured information of the evaluation data; obtain a preset feature extraction model; and determine the project quality information based on the evaluation data and the feature extraction model.

[0231] In one possible embodiment, in terms of determining the target element chain based on the target project characterization model, the first processing unit 702 is specifically used to: determine multiple evaluation characteristics based on the multiple evaluation levels, and the multiple evaluation characteristics are the evaluation characteristics of the power grid reserve project in the multiple evaluation levels; determine the target element chain based on the multiple evaluation characteristics and the target project characterization model.

[0232] In one possible embodiment, in terms of determining the evaluation result of the power grid reserve project based on the target element chain, the first processing unit 702 is specifically used to: obtain a preset indicator mapping relationship table, the indicator mapping relationship table is used to characterize the mapping relationship between the multiple evaluation levels and the multiple evaluation indicators; determine the target evaluation indicator according to the target element chain and the indicator mapping relationship table, the target evaluation indicator is the evaluation indicator corresponding to the power grid reserve project in the multiple evaluation levels; determine the target evaluation model according to the target evaluation indicator, the target evaluation model is used to indicate the definition and calculation formula of the corresponding evaluation indicator; and determine the evaluation result according to the target evaluation model.

[0233] It can be understood that since the method embodiment and the device embodiment are different presentation forms of the same technical concept, the content of the method embodiment part in this application should be synchronously adapted to the device embodiment part and will not be repeated here.

[0234] In the case of integrated units, such as Figure 8 As shown, Figure 8 This is a functional unit block diagram of another power grid reserve project evaluation method device provided by the embodiment of the present application. Figure 8In the embodiment, the power grid reserve project evaluation method device 700 includes: a processing module 812 and a communication module 811. The processing module 812 is used to control and manage the actions of the power grid reserve project evaluation method device 700, for example, executing the steps of the first receiving unit 701 and the first processing unit 702, and / or other processes for executing the technology described herein. The communication module 811 is used to support the interaction between the power grid reserve project evaluation method device 700 and other devices. Figure 8 As shown, the power grid reserve project evaluation method device 700 may further include a storage module 813 , and the storage module 813 is used to store program codes and data of the power grid reserve project evaluation method device 700 .

[0235] The processing module 812 may be a processor or controller, such as a central processing unit (CPU), a general-purpose processor, a digital signal processor (DSP), an ASIC, an FPGA, or other programmable logic device, a transistor logic device, a hardware component, or any combination thereof. It may implement or execute the various exemplary logic blocks, modules, and circuits described in conjunction with the disclosure of this application. The processor may also be a combination that implements computing functions, such as a combination of one or more microprocessors, a combination of a DSP and a microprocessor, and the like. The communication module 811 may be a transceiver, an RF circuit, or a communication interface, and the like. The storage module 813 may be a memory.

[0236] Among them, all relevant contents of each scenario involved in the above method embodiment can be referred to the functional description of the corresponding functional module, and will not be repeated here. The above power grid reserve project evaluation method device 700 can execute the above Figure 3 The grid reserve project evaluation method shown.

[0237] The above embodiments can be implemented in whole or in part by software, hardware, firmware or any other combination. When implemented using software, the above embodiments can be implemented in whole or in part in the form of a computer program product. The computer program product includes one or more computer instructions or computer programs. When the computer instructions or computer program are loaded or executed on a computer, the process or function described in the embodiment of the present application is generated in whole or in part. The computer can be a general-purpose computer, a special-purpose computer, a computer network, or other programmable device. The computer instructions can be stored in a computer-readable storage medium or transmitted from one computer-readable storage medium to another computer-readable storage medium. For example, the computer instructions can be transmitted from one website, computer, server or data center to another website, computer, server or data center via wired or wireless means. The computer-readable storage medium can be any available medium that can be accessed by a computer or a data storage device such as a server or data center that contains one or more available media sets. The available medium can be a magnetic medium (for example, a floppy disk, a hard disk, a tape), an optical medium (for example, a DVD), or a semiconductor medium. The semiconductor medium can be a solid-state drive.

[0238] Figure 9 This is a structural block diagram of a server provided in an embodiment of the present application. Figure 9 As shown, the server 120 may include one or more of the following components: a processor 210, a memory 220 coupled to the processor 210, wherein the memory 220 may store one or more computer programs 221, and the one or more computer programs 221 may be configured to implement the methods described in the above embodiments when executed by one or more processors 210.

[0239] The processor 210 may include one or more processing cores. The processor 210 utilizes various interfaces and circuits to connect various components within the server 120. It executes instructions, programs, code sets, or instruction sets stored in the memory 220, as well as accesses data stored in the memory 220, to perform various server 120 functions and process data. Optionally, the processor 210 may be implemented using at least one of the following hardware forms: a digital signal processing (DSP), a field-programmable gate array (FPGA), or a programmable logic array (PLA). The processor 210 may integrate one or a combination of a central processing unit (CPU), a graphics processing unit (GPU), and a modem. The CPU primarily processes the operating system, user interface, and application programs; the GPU is responsible for rendering and drawing display content; and the modem handles wireless communications. It is understood that the modem may not be integrated into the processor 210 and may be implemented separately via a communications chip.

[0240] The memory 220 may include a random access memory (RAM) or a read-only memory (ROM). The memory 220 may be used to store instructions, programs, codes, code sets, or instruction sets. The memory 220 may include a program storage area and a data storage area, wherein the program storage area may store instructions for implementing an operating system, instructions for implementing at least one function (such as a touch function, a sound playback function, an image playback function, etc.), instructions for implementing the above-mentioned various method embodiments, etc. The data storage area may also store data created by the server 120 during use.

[0241] It is understood that the server 120 may include more or fewer structural elements than those in the above structural block diagram, and this is not limited here. The present application provides a computer-readable storage medium having a computer program / instruction stored thereon, which, when executed by a processor, implements the steps of the method described in any possible embodiment.

[0242] It should be understood that in the various embodiments of the present application, the size of the serial numbers of the above-mentioned processes does not mean the order of execution. The execution order of each process should be determined by its function and internal logic, and should not constitute any limitation on the implementation process of the embodiments of the present application.

[0243] In the several embodiments provided in this application, it should be understood that the disclosed methods, devices, and systems can be implemented in other ways. For example, the device embodiments described above are merely schematic; for example, the division of the unit is merely a logical function division, and there may be other division methods in actual implementation; for example, multiple units or components can be combined or integrated into another system, or some features can be ignored or not executed. Another point is that the mutual coupling or direct coupling or communication connection shown or discussed can be through some interfaces, indirect coupling or communication connection of devices or units, which can be electrical, mechanical or other forms.

[0244] The units described as separate components may or may not be physically separate, and the components shown as units may or may not be physical units, that is, they may be located in one place or distributed across multiple network units. Some or all of the units may be selected to achieve the purpose of the solution of this embodiment according to actual needs.

[0245] In addition, the functional units in various embodiments of the present invention may be integrated into a single processing unit, each unit may be physically included separately, or two or more units may be integrated into a single unit. The aforementioned integrated units may be implemented in the form of hardware or hardware plus software functional units.

[0246] The above-mentioned integrated unit implemented in the form of a software functional unit can be stored in a computer-readable storage medium. The above-mentioned software functional unit is stored in a storage medium and includes a number of instructions for enabling a computer device (which can be a personal computer, a server, or a network device, etc.) to perform some steps of the method described in each embodiment of the present invention. The aforementioned storage medium includes: a USB flash drive, a mobile hard disk, a magnetic disk, an optical disk, a volatile memory or a non-volatile memory. Among them, the non-volatile memory can be a read-only memory (ROM), a programmable read-only memory (PROM), an erasable programmable read-only memory (EPROM), an electrically erasable programmable read-only memory (EEPROM) or a flash memory. The volatile memory can be a random access memory (RAM), which is used as an external cache. By way of example and not limitation, many forms of random access memory (RAM) are available, such as static RAM (SRAM), dynamic random access memory (DRAM), synchronous DRAM (SDRAM), double data rate synchronous dynamic random access memory (DDR SDRAM), enhanced synchronous dynamic random access memory (ESDRAM), synchronous link dynamic random access memory (SLDRAM) and direct RAM bus random access memory (DR RAM), among other media that can store program code.

[0247] Although the present invention is disclosed above, it is not limited thereto. Any person skilled in the art may readily conceive of variations or substitutions, and may make various modifications and alterations without departing from the spirit and scope of the present invention. Combinations of the above-described functions and implementation steps, including software and hardware implementations, are all within the scope of protection of the present invention.

Claims

1. A method for evaluating power grid reserve projects, characterized in that: Applied to a server in a power grid reserve project evaluation system, the method comprises: Acquiring evaluation data of a power grid reserve project, wherein the evaluation data is used to characterize a project status of the power grid reserve project; Determining a target project characterization model based on the evaluation data, the target project characterization model is used to characterize project characteristics of the power grid reserve project from multiple evaluation perspectives in a target evaluation business collaboration scenario, the target evaluation business collaboration scenario is used to characterize an evaluation process for evaluating the power grid reserve project, and the multiple evaluation perspectives are used to characterize multiple directions for evaluating the power grid reserve project; Determining a target element chain according to the target project characterization model, wherein the target element chain is used to indicate evaluation elements of the power grid reserve project in multiple evaluation levels, and the multiple evaluation levels are used to represent multiple dimensions of evaluating the power grid reserve project; An evaluation result of the power grid reserve project is determined based on the target element chain.

2. The method according to claim 1, characterized in that Determining the target project characterization model according to the evaluation data includes: Determine a target scenario metamodel based on the evaluation data, wherein the target scenario metamodel is used to characterize the scenario composition of the target evaluation business collaboration scenario; The target project characterization model is determined according to the target scenario meta-model.

3. The method according to claim 2, characterized in that Determining the target scene meta-model according to the evaluation data includes: Determine a target construction element set according to the evaluation data, wherein the target construction element set is used to indicate key elements of the target evaluation business collaboration scenario, and the key elements are used to characterize scenario characteristics or project characteristics corresponding to the target evaluation business collaboration scenario; Determine a target scenario structure according to the target construction element set, wherein the target scenario structure is used to represent the model architecture of the target evaluation business collaboration scenario; The target scene meta-model is determined according to the target scene structure.

4. The method according to claim 3, characterized in that The determining the target project characterization model according to the target scenario meta-model includes: Determine a plurality of target angle information according to the evaluation data, wherein the plurality of target angle information is characteristic information of the power grid reserve project at the plurality of evaluation angles; The target item characterization model is determined according to the multiple target angle information and the target scene meta-model.

5. The method according to claim 4, characterized in that The multiple evaluation angles include a project theme angle, a project structure angle, and a project quality angle. The multiple target angle information includes project theme information, project structure information, and project quality information. The project theme information corresponds to the project theme angle, the project structure information corresponds to the project structure angle, and the project quality information corresponds to the project quality angle. Determining the multiple target angle information based on the evaluation data includes: Get the preset topic model; Determining the project topic information based on the evaluation data and the topic model; determining the project structure information according to the structured information of the evaluation data; Get the preset feature extraction model; The project quality information is determined based on the evaluation data and the feature extraction model.

6. The method according to claim 4, characterized in that Determining the target element chain according to the target project characterization model includes: Determining a plurality of evaluation characteristics according to the plurality of evaluation levels, wherein the plurality of evaluation characteristics are evaluation characteristics of the power grid reserve project in the plurality of evaluation levels; The target element chain is determined according to the multiple evaluation characteristics and the target project characterization model.

7. The method according to claim 5, characterized in that Determining the evaluation result of the power grid reserve project according to the target element chain includes: Obtaining a preset indicator mapping relationship table, wherein the indicator mapping relationship table is used to represent the mapping relationship between the multiple evaluation levels and the multiple evaluation indicators; Determine a target evaluation indicator according to the target element chain and the indicator mapping relationship table, wherein the target evaluation indicator is an evaluation indicator corresponding to the power grid reserve project in the multiple evaluation levels; Determine a target evaluation model based on the target evaluation index, wherein the target evaluation model is used to indicate the definition and calculation formula of the corresponding evaluation index; The evaluation result is determined according to the target evaluation model.

8. A power grid reserve project evaluation device, characterized in that: A server used in a power grid reserve project evaluation system, the device comprising: A first receiving unit is configured to obtain evaluation data of a power grid reserve project, wherein the evaluation data is used to characterize a project status of the power grid reserve project; A first processing unit is configured to determine a target project characterization model based on the evaluation data, the target project characterization model being used to characterize project characteristics of the power grid reserve project in multiple evaluation perspectives in a target evaluation business collaboration scenario, the target evaluation business collaboration scenario being used to characterize an evaluation process for evaluating the power grid reserve project, and the multiple evaluation perspectives being used to characterize multiple directions for evaluating the power grid reserve project; determine a target element chain based on the target project characterization model, the target element chain being used to indicate evaluation elements of the power grid reserve project in multiple evaluation levels, and the multiple evaluation levels being used to characterize multiple dimensions for evaluating the power grid reserve project; and determine an evaluation result of the power grid reserve project based on the target element chain.

9. A server, characterized in that: The method comprises a processor, a memory, and one or more programs, wherein the one or more programs are stored in the memory and configured to be executed by the processor, and the programs include instructions for executing the steps in the method according to any one of claims 1 to 7.

10. A computer-readable storage medium, characterized in that A computer program / instruction is stored thereon, and when the computer program / instruction is executed by a processor, the steps of the method according to any one of claims 1 to 7 are implemented.

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