A method and system for analyzing the influence graph of the artificial intelligence industry chain

Abstract

The present invention discloses a method and system for analyzing the influence map of the industrial chain based on artificial intelligence. The method includes collecting relevant data and information of power projects, and cleaning the data at the same time; using natural language processing of artificial intelligence technology to analyze and mine the data; using the industrial chain analysis method to establish the influence map of the power project in the industrial chain, and obtain the position and influence of the power project in the industrial chain; designing evaluation indicators and models for evaluating the implementation effect and results of the power project; through comprehensive evaluation of the influence of the power project in the industrial chain, visually displaying the evaluation results in the form of maps and charts; and generating an evaluation report. The system includes a data acquisition module, a map establishment module, and a report generation module. The present invention can improve the effect and value of power project evaluation by combining the technical means of artificial intelligence and industrial chain analysis.

Description

Technical Field

[0001] The present invention relates to the field of graph analysis technology, and in particular to a graph analysis method and system based on the influence graph of an artificial intelligence industry chain. Background Art

[0002] The evaluation of power projects by analyzing the industrial chain influence map is a method based on artificial intelligence and data analysis, which aims to evaluate the influence and effect of power projects in the entire industrial chain. This method constructs an industrial chain map of power projects, associates the projects with relevant industrial links and elements, and analyzes the contribution and impact of the projects on the entire industrial chain. However, the existing analysis schemes have many defects such as low efficiency and poor accuracy, which restrict the efficiency of industrial chain influence map analysis.

[0003] Prior art 1, application number: 202310296133.7 discloses a method, device and computer equipment for analyzing knowledge graphs of electric power users. The name of the service provider is parsed through a preset dictionary to obtain location information, services provided and identification names of the service providers. After grouping and aligning each service provider according to the identification name, each identity information in the service provider database is associated with each corresponding service provider, and entities corresponding to the name, location information, services provided and identification name are created respectively. The entity attributes of each entity are determined, and the knowledge graph corresponding to the power system to be analyzed is constructed according to multiple entities, the attributes of each entity and the relationship between each entity. The power system is analyzed based on the knowledge graph. Although compared with the traditional analysis through a relational database, the analysis difficulty is reduced by constructing a knowledge graph based on the attributes of the service provider to analyze the power system. However, the analysis efficiency is low.

[0004] Prior art 2, application number: 202110254046.6 discloses a partial discharge spectrum analysis system, method and device based on artificial neural network, including a detection instrument, a mobile terminal, the detection instrument communicates with the mobile terminal, and also includes a gateway machine arranged in the power equipment station, and the mobile terminal communicates with the gateway machine; the detection instrument transmits the detected partial discharge spectrum to the gateway machine through the mobile terminal, and the gateway machine analyzes the detected partial discharge spectrum based on the artificial neural network, and feeds back the analysis results to the mobile terminal. Although the gateway machine analyzes and diagnoses the detected partial discharge spectrum in the station without transmitting it back to the background for analysis, it alleviates the back-end load, ensures the real-time diagnosis of the detection data, and greatly improves the efficiency of the spectrum analysis and the work efficiency of the front-line operators. However, the structure is relatively simple, which is not conducive to improving the efficiency of the industrial chain influence spectrum analysis.

[0005] Prior art three, application number: 202111122413.3 discloses a method and system for risk management of power engineering projects, which obtains project risk data through a first model; if there is at least one risk item in the project risk detection result obtained by the first model, then find a first data set associated with the project risk detection result from the risk association map; obtain the original data of the second project from the first data set, obtain the first feature data of the original data of the first project and the second feature data of the original data of the second project; if the first feature data matches the second feature data, then generate a second data set based on the project risk data, and add the second data set to the risk association map. Although the management of project risk data based on the risk association map is achieved, the comprehensive integration of the entire project data and the accuracy of risk analysis of power engineering projects are improved. However, there are defects such as low efficiency and poor accuracy.

[0006] At present, the existing analysis schemes of the prior art 1, prior art 2 and prior art 3 have many defects such as low efficiency and poor accuracy, which restricts the efficiency of the industrial chain influence map analysis. Therefore, the present invention provides an artificial intelligence-based industrial chain influence map analysis method and system, which mainly includes data collection and processing, artificial intelligence technology application, industrial chain modeling and analysis, evaluation indicators and model design, comprehensive evaluation and decision support, and visual display and report generation; these components cooperate with each other to provide support and application for the post-evaluation of power projects. Summary of the invention

[0007] The main purpose of the present invention is to provide an artificial intelligence-based industrial chain influence map analysis method and system to solve the problems that the existing analysis schemes in the prior art have many defects such as low efficiency and poor accuracy, which restrict the efficiency of the industrial chain influence map analysis.

[0008] To achieve the above object, the present invention provides the following technical solutions:

[0009] A method for analyzing an influence graph of an artificial intelligence industry chain, the method comprising:

[0010] Collect relevant data and information of power projects and clean the data; use natural language processing of artificial intelligence technology to analyze and mine the data;

[0011] Using the industrial chain analysis method, establish the influence map of power projects in the industrial chain, and obtain the position and influence of power projects in the industrial chain; design evaluation indicators and models to evaluate the implementation effects and results of power projects;

[0012] By comprehensively evaluating the influence of power projects in the industrial chain, including the weights and scores of various indicators; visualizing the evaluation results in the form of maps and charts; and generating an evaluation report.

[0013] As a further improvement of the present invention, the relevant data and information of the power project include various indicators, costs, benefits and environmental impact data during the project implementation process;

[0014] Evaluation indicators include economic benefits, environmental benefits, and social benefits;

[0015] The evaluation report includes the specific numerical values ​​of the evaluation results, analysis and explanation, and improvement suggestions.

[0016] As a further improvement of the present invention, the process of analyzing and mining data includes:

[0017] Clean the collected data to remove duplicate data; perform natural language processing on text data, including word segmentation, part-of-speech tagging, and named entity recognition;

[0018] Extract key features from text data for analysis and mining; identify relationships and associations in text through natural language technology;

[0019] Use regression analysis to explore the relationship between indicators and cluster analysis to discover patterns and groups in the data; explain and interpret the analysis results to form conclusions.

[0020] As a further improvement of the present invention, the relationships and associations in the text are identified by natural language technology, including:

[0021] Use natural language processing technology to perform semantic analysis on texts, converting texts into semantic representations by using grammatical analysis and semantic role labeling; identify entities in texts by naming entities, which include names of people, places, and organizations; link entities with entities in the knowledge base to obtain more related information;

[0022] By using semantic role labeling and dependency parsing, relation extraction techniques are used to extract relations and associations in texts and identify relations between entities in texts.

[0023] By using statistical analysis to analyze the extracted relationships and associations, the correlations and association patterns between entities are discovered, and the hidden associations in the text are obtained.

[0024] As a further improvement of the present invention, cluster analysis is used to discover patterns and group processes in the data, including:

[0025] Select features from the dataset that describe the similarities and differences between samples; perform z-score normalization on the selected features;

[0026] Select K-means clustering to perform cluster analysis on the data; the clustering algorithm divides samples into different clusters or groups based on the similarity measurement between samples; the result of clustering is that a group of samples with similar characteristics are clustered together;

[0027] Use the silhouette coefficient to evaluate the quality and rationality of clustering results; interpret the clustering results to understand the characteristics and meaning of each cluster or group.

[0028] As a further improvement of the present invention, the process of establishing the influence map of the power project in the industrial chain includes:

[0029] Determine the industrial chain involved in the power project, including the supply chain and value chain; at the same time, determine the scope of the industrial chain and the relevant participants; identify the participants with significant influence in the industrial chain of the power project, including power suppliers, equipment manufacturers, builders, operators, government agencies and consumers;

[0030] Analyze the relationships among the participants, including supply relationships, cooperation relationships, and competition relationships; determine the interactions and dependencies among the participants; and evaluate the influence of each participant in the industrial chain of the power project based on the importance and relationships of the participants;

[0031] Based on the impact assessment results, the influence of the participating entities in the industrial chain is mapped in the form of a map; the map is displayed in the form of a network diagram; the mapped influence map is analyzed and interpreted to understand the position and influence of the power project in the industrial chain.

[0032] As a further improvement of the present invention, the process of mapping the influence of the participating entities in the industrial chain in the form of a map includes:

[0033] Participants with significant influence in the industrial chain are added to the graph as nodes; the connection relationship between nodes is determined based on the association relationship, and the edge represents the association relationship between the participants;

[0034] Set the name and influence attributes of each node; the attributes are used to indicate the importance of the participating entity in the industrial chain;

[0035] Based on the information of nodes and edges, a network diagram drawing software is used to draw a graph, presenting the nodes and edges in the form of association relationships.

[0036] As a further improvement of the present invention, the process of evaluating the implementation effect and results of the power project includes:

[0037] Determine the index system for evaluating power projects, including indicators of economic benefits, environmental benefits, and social benefits; set weights for each evaluation indicator to reflect its importance in the overall evaluation; then set scoring standards for each indicator and divide it into different levels;

[0038] Collect data related to each evaluation indicator, including data before and after the project implementation; analyze the data, calculate the specific value of each indicator, and comprehensively consider the weight of each indicator to obtain the evaluation results;

[0039] Conduct comprehensive evaluation and interpretation based on the evaluation results; compare the differences before and after implementation, and analyze the significance and impact of the evaluation results; and make improvement suggestions based on the evaluation results to further optimize the implementation effects and outcomes of the power project.

[0040] As a further improvement of the present invention, the process of visual display and evaluation report generation specifically includes the following steps:

[0041] According to the evaluation index system, collect the specific values ​​and scores of various indicators of power projects in the industrial chain; design visual display forms, including maps and charts, based on the evaluation result data;

[0042] Use the selected visualization tools to draw the influence map and related charts of the power project in the industrial chain; present the evaluation results in the form of nodes, edges, and charts;

[0043] Create an evaluation report based on the drawn maps and charts; the report should include specific numerical values ​​of the evaluation results, analysis and explanations, and improvement suggestions; format and edit the evaluation report, and finally generate the evaluation report in an appropriate format.

[0044] To achieve the above object, the present invention also provides the following technical solutions:

[0045] A system for analyzing the influence graph of the artificial intelligence industry chain, which is applied to the method for analyzing the influence graph of the artificial intelligence industry chain, and the system for analyzing the influence graph of the artificial intelligence industry chain includes:

[0046] The data acquisition module is used to collect relevant data and information of power projects, including various indicators, costs, benefits and environmental impact data during project implementation; at the same time, the data is cleaned; natural language processing using artificial intelligence technology is used to analyze and mine the data;

[0047] The map establishment module is used to establish the influence map of power projects in the industrial chain by using the industrial chain analysis method, and obtain the position and influence of power projects in the industrial chain; design evaluation indicators and models to evaluate the implementation effects and results of power projects; the evaluation indicators include economic benefits, environmental benefits, and social benefits;

[0048] The report generation module is used to comprehensively evaluate the influence of power projects in the industrial chain, including the weight and score of various indicators; visualize the evaluation results in the form of maps and charts; and generate an evaluation report, including the specific values ​​of the evaluation results, analysis and explanations, and improvement suggestions.

[0049] The data collection and processing of the present invention collects relevant data and information of power projects, including various indicators, costs, benefits, environmental impacts, etc.; cleans the data to ensure the accuracy and consistency of the data; uses natural language processing technology to analyze and mine the data to extract valuable information and patterns. Industrial chain modeling and analysis, establishes an influence map of power projects in the industrial chain, describes the position and influence of the project in the industrial chain; designs evaluation indicators and models to evaluate the implementation effect and results of power projects; the evaluation indicators include indicators in terms of economic benefits, environmental benefits, social benefits, etc., which are used to quantitatively evaluate the influence and effect of the project. Comprehensive evaluation and visual display, comprehensively evaluate the influence of power projects in the industrial chain, including the weights and scores of various indicators; visualizes the evaluation results in the form of maps and charts to help users intuitively understand the influence and evaluation results of the project; generates an evaluation report, including the specific values ​​of the evaluation results, analysis and explanations, and improvement suggestions. The evaluation of power projects can be carried out more scientifically and objectively, providing accurate data support and comprehensive evaluation results. At the same time, visual display and report generation also provide a more intuitive and easy-to-understand way to present the evaluation results. BRIEF DESCRIPTION OF THE DRAWINGS

[0050] Figure 1 This is a schematic diagram of the steps of an embodiment of the method for analyzing the influence graph of the artificial intelligence industry chain according to the present invention;

[0051] Figure 2 A schematic diagram of the process of analyzing and mining data based on an embodiment of the artificial intelligence industry chain influence graph analysis method of the present invention;

[0052] Figure 3 A schematic diagram of the process of establishing an influence map of a power project in an industrial chain based on an embodiment of an artificial intelligence industrial chain influence map analysis method of the present invention;

[0053] Figure 4A schematic diagram of a process for evaluating the implementation effects and achievements of a power project based on an embodiment of an artificial intelligence industry chain influence graph analysis method of the present invention;

[0054] Figure 5 A schematic diagram of the process of visual display and evaluation report generation based on an embodiment of the artificial intelligence industry chain influence graph analysis method of the present invention;

[0055] Figure 6 This is a schematic diagram of the functional modules of an embodiment of the artificial intelligence industry chain influence graph analysis system of the present invention;

[0056] Figure 7 It is a structural schematic diagram of an embodiment of an electronic device of the present invention;

[0057] Figure 8 It is a schematic structural diagram of an embodiment of the storage medium of the present invention. DETAILED DESCRIPTION

[0058] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. 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 the present invention.

[0059] The terms "first", "second" and "third" in the present invention are only used for descriptive purposes and cannot be understood as indicating or implying relative importance or implicitly indicating the number of indicated technical features. Therefore, the features defined as "first", "second" and "third" can explicitly or implicitly include at least one of the features. In the description of the present invention, the meaning of "multiple" is at least two, such as two, three, etc., unless otherwise clearly and specifically defined. All directional indications (such as up, down, left, right, front, back...) in the embodiments of the present invention are only used to explain the relative position relationship, movement, etc. between the components under a certain specific posture (as shown in the accompanying drawings). If the specific posture changes, the directional indication also changes accordingly. In addition, the terms "including" and "having" and any of their variations are intended to cover non-exclusive inclusions. For example, a process, method, system, product or device that includes a series of steps or units is not limited to the listed steps or units, but optionally also includes steps or units that are not listed, or optionally also includes other steps or units inherent to these processes, methods, products or devices.

[0060] Reference to an "embodiment" herein means that a particular feature, structure, or characteristic described in conjunction with the embodiment may be included in at least one embodiment of the present invention. The appearance of the phrase in various places in the specification does not necessarily refer to the same embodiment, nor is it an independent or alternative embodiment that is mutually exclusive with other embodiments. It is explicitly and implicitly understood by those skilled in the art that the embodiments described herein may be combined with other embodiments.

[0061] like Figure 1 As shown, this embodiment provides an embodiment of an analysis method based on an influence graph of an artificial intelligence industry chain. In this embodiment, the analysis method based on an influence graph of an artificial intelligence industry chain specifically includes the following steps:

[0062] Step S1: Collect relevant data and information of the power project, including various indicators, costs, benefits and environmental impact data during the project implementation process; at the same time, clean the data; use natural language processing of artificial intelligence technology to analyze and mine the data;

[0063] Step S2: Using the industrial chain analysis method, establish the influence map of the power project in the industrial chain, and obtain the position and influence of the power project in the industrial chain; design evaluation indicators and models to evaluate the implementation effect and results of the power project; the evaluation indicators include indicators in terms of economic benefits, environmental benefits, social benefits, etc.;

[0064] Step S3: Through comprehensive evaluation of the influence of the power project in the industrial chain, including the weight and score of each indicator; the evaluation results are visualized in the form of maps and charts; and an evaluation report is generated, including the specific values ​​of the evaluation results, analysis and explanation, and improvement suggestions.

[0065] Preferably, step S1 of this embodiment: data collection and processing, collecting relevant data and information of power projects, including various indicators, costs, benefits, environmental impacts, etc.; cleaning data to ensure data accuracy and consistency; using natural language processing technology to analyze and mine data, extracting valuable information and patterns. Step S2: industrial chain modeling and analysis, establishing an influence map of power projects in the industrial chain, describing the position and influence of projects in the industrial chain; designing evaluation indicators and models for evaluating the implementation effects and results of power projects; evaluation indicators include indicators in economic benefits, environmental benefits, social benefits, etc., which are used to quantitatively evaluate the influence and effects of projects. Step S3: comprehensive evaluation and visual display, comprehensively evaluating the influence of power projects in the industrial chain, including the weights and scores of various indicators; visually displaying the evaluation results in the form of maps and charts to help users intuitively understand the influence and evaluation results of the project; generating an evaluation report, including specific values ​​of the evaluation results, analysis and explanations, and improvement suggestions. This allows the evaluation of power projects to be more scientific and objective, providing accurate data support and comprehensive evaluation results, while visual display and report generation also provide a more intuitive and easy-to-understand way to present the evaluation results.

[0066] This embodiment realizes data analysis and mining: based on the artificial intelligence industry chain influence map system, the relevant data of the power project can be analyzed and mined, including the project implementation process, cost and benefit data; through the technical methods of artificial intelligence, valuable information and patterns can be extracted from large-scale data to provide data support for the evaluation of power projects. Evaluation index and model optimization: the artificial intelligence industry chain influence map system can analyze and identify key elements and indicators related to power projects, and help optimize the design of evaluation indicators and models; through the analysis and modeling of the industrial chain, more accurate and comprehensive evaluation indicators can be determined to improve the credibility and effectiveness of power project evaluation. Comprehensive evaluation and decision support: based on the artificial intelligence industry chain influence map system, the influence of power projects in the industrial chain can be comprehensively evaluated, including economic benefits, environmental benefits and social benefits; through systematic analysis and calculation, scientific basis and decision support can be provided for the decision-making of power projects, helping project managers and decision makers to make reasonable decisions and optimization measures. Visual display and report generation: based on the artificial intelligence industry chain influence map system, the evaluation results of power projects can be displayed to project managers and decision makers in a visual form; through the display of maps and charts, the position and influence of power projects in the industrial chain can be intuitively presented to help users better understand and apply the evaluation results.

[0067] In summary, this embodiment, based on the artificial intelligence industry chain influence map system, can provide support and applications for power project evaluation in terms of data analysis and mining, evaluation index and model optimization, comprehensive evaluation and decision support, visualization display and report generation; by combining the technical means of artificial intelligence and industry chain analysis, the effect and value of power project evaluation can be improved.

[0068] Furthermore, if Figure 2 As shown, the process of analyzing and mining data in step S1 specifically includes the following steps:

[0069] Step S11: Clean the collected data to remove duplicate data; perform natural language processing on the text data, including word segmentation, part-of-speech tagging, and named entity recognition;

[0070] Step S12: extract key features from the text data for analysis and mining; identify relationships and associations in the text through natural language technology;

[0071] Step S13: Use regression analysis to explore the relationship between indicators, and use cluster analysis to discover patterns and groups in the data; explain and interpret the analysis results to form conclusions.

[0072] Preferably, step S11 of this embodiment: data cleaning and text processing, removing duplicate data cleaning, ensuring data accuracy and consistency; using natural language processing technology to perform word segmentation, part-of-speech tagging and named entity recognition on text data, and converting text data into structured analyzable data. Step S12: feature extraction and relationship identification, extracting key features from text data for subsequent analysis and mining. For example, extracting key information such as indicators, costs, benefits and environmental impacts of the project; identifying relationships and associations in the text through natural language processing technology, such as the association between the project and the links of the industrial chain, the relationship between indicators, etc. Step S13: data analysis and result interpretation, using statistical methods such as regression analysis to explore the relationship between indicators, help understand the correlation and influencing factors in the data; using machine learning methods such as cluster analysis to discover patterns and groups in the data, help understand the distribution and classification of the data; interpret and interpret the analysis results, form meaningful conclusions, and help evaluate the effects and impacts of the project. Make the analysis and mining of data more in-depth and targeted, and extract key features and relationship information from a large amount of data to help understand the meaning and trend of the data, and provide a scientific basis for subsequent decision-making and evaluation.

[0073] This embodiment uses natural language processing and data analysis methods of artificial intelligence technology to conduct in-depth mining and analysis of power project data to obtain valuable information and insights. This information can be used for subsequent industrial chain influence map analysis to evaluate the effects and impacts of power projects.

[0074] Furthermore, in step S12, identifying the relationships and associations in the text by using natural language technology specifically includes the following steps:

[0075] Step S121: Use natural language processing technology to perform semantic analysis on the text, convert the text into a semantic representation by using grammatical analysis and semantic role labeling; identify entities in the text by naming entities, which include, for example, names of people, places, and organizations; link the entities with entities in the knowledge base to obtain more related information;

[0076] Step S122: extracting relationships and associations in the text by using semantic role labeling and dependency syntax analysis using relationship extraction technology, and identifying relationships between entities in the text, such as cooperative relationships and influence relationships;

[0077] Step S123: Analyze the extracted relationships and associations by using statistical analysis to discover the correlations and association patterns between entities and obtain the hidden associations in the text.

[0078] Preferably, step S121 of this embodiment: semantic parsing and entity linking, through grammatical analysis and semantic role labeling, converts the text into a semantic representation to help understand the semantic structure and meaning of the text; through named entity recognition, entities in the text, such as names of people, places, organizations, etc., are identified, and they are linked to entities in the knowledge base to obtain more related information. Step S122: Relationship extraction uses technologies such as semantic role labeling and dependency syntax analysis to identify the relationships and associations between entities in the text; through relationship extraction technology, relationship information in the text, such as cooperative relationships, influence relationships, etc., is extracted to help understand the interactions and connections between entities. Step S123: Association analysis, using methods such as statistical analysis, analyzes the extracted relationships and associations to discover the correlations and association patterns between entities; through association analysis, the potential associations between entities can be revealed to help understand the contextual information in the text and the relationship between entities. It makes it more accurate and comprehensive to identify relationships and associations in texts through natural language technology, and can extract entity and relationship information from texts to help understand the meaning of texts and the interactions between entities; this information can be used for subsequent data analysis, pattern discovery, and conclusion formation, providing deeper insights and support for project evaluation and decision-making.

[0079] This embodiment uses natural language technology to identify relationships and associations in text, and can obtain more information and insights from the text. This information can be used for subsequent data analysis, pattern discovery, and conclusion formation, providing more comprehensive support for project evaluation and decision-making.

[0080] Furthermore, the process of using cluster analysis to discover patterns and groups in data in step S13 specifically includes the following steps:

[0081] Step S131: Select features that describe similarities and differences between samples from the data set; perform z-score normalization on the selected features;

[0082] Step S132: Select K-means clustering to perform cluster analysis on the data; the clustering algorithm divides the samples into different clusters or groups based on the similarity measurement between the samples; the result of clustering is that a group of samples with similar characteristics are clustered together;

[0083] Step S133: Use the silhouette coefficient to evaluate the quality and rationality of the clustering results; interpret the clustering results to understand the characteristics and meaning of each cluster or group.

[0084] Preferably, step S131 of this embodiment: feature selection and standardization, select key features that describe the similarities and differences between samples, and perform z-score standardization on the selected features; feature selection helps to extract important features that can distinguish the similarities and differences between samples, so as to better understand the characteristics and structure of the data set; and feature standardization can ensure that the selected features have the same scale and range, avoiding clustering result deviations due to different feature scales. Step S132: K-means clustering analysis, select K-means clustering as the clustering algorithm, and divide the samples into different clusters or groups according to the similarity measure between samples; K-means clustering is a commonly used clustering algorithm, which divides similar samples into the same cluster by calculating the distance between samples; through K-means clustering analysis, the similarities and differences between samples in the data set can be found, which helps to understand the distribution and classification of the data. Step S133: Evaluation and interpretation of clustering results, using silhouette coefficient as an evaluation indicator to evaluate the quality and rationality of clustering results; explaining the characteristics and meaning of each cluster or group; the silhouette coefficient can measure the closeness of each sample within its cluster and the separation from other clusters, thereby evaluating the accuracy and consistency of clustering results; interpreting clustering results can help understand the characteristics and meaning of each cluster, reveal patterns and groups in the data, and provide deeper insights and support for data analysis and decision-making.

[0085] This embodiment can find similarities and differences between samples in the data, and divide clusters or groups with similar characteristics; it helps to understand the structure and classification of the data set, and provides insights and support for data analysis and decision-making. Through cluster analysis, patterns and groups in the data can be found, helping to understand the distribution and classification of the data. This information can be used for subsequent data analysis, pattern discovery, and conclusion formation, and helps to gain insight into hidden information and trends in the data.

[0086] The formula expression of K-means clustering is as follows:

[0087] Assume that there are n sample data, each sample data is represented by xi, where i = 1, 2, ..., n;

[0088] Assume there are K cluster centers, each cluster center is denoted as μj, where j = 1, 2, ..., K;

[0089] The goal of K-means clustering is to minimize the sum of the distances between each sample data and the center of its cluster.

[0090] Initialization: Randomly select K initial cluster centers;

[0091] Assign samples to the nearest cluster center: For each sample xi, calculate the distance between it and each cluster center μj, select the cluster center with the nearest distance, and assign the sample to the cluster represented by the cluster center with the nearest distance;

[0092] Allocation function: C(xi)=argminj||xi-μj||2, where C(xi) represents the cluster number to which the sample xi belongs;

[0093] Update cluster centers: Calculate the average value of all samples in each cluster and use the average value as the new cluster center;

[0094] Cluster center update formula: μj = (1 / |Cj|)∑jxi, where |Cj| represents the number of samples in cluster Cj.

[0095] Repeat until the cluster center no longer changes or the predetermined number of iterations is reached.

[0096] The goal of K-means clustering is to minimize the sum of the squared distances between the cluster center and the samples in its cluster, that is, to minimize the overall squared error; it can make the samples in the same cluster similar to each other, and the samples between different clusters are more different.

[0097] Furthermore, if Figure 3 As shown, the process of establishing the influence map of the power project in the industrial chain in step S2 specifically includes the following steps:

[0098] Step S21: Determine the industrial chain involved in the power project, including the supply chain and value chain; at the same time, determine the scope of the industrial chain and the relevant participants; identify the participants with significant influence in the industrial chain of the power project, including power suppliers, equipment manufacturers, builders, operators, government agencies and consumers;

[0099] Step S22: Analyze the relationship between the participating entities, including supply relationship, cooperation relationship and competition relationship, etc.; determine the interaction and dependency between the participating entities; and evaluate the influence of each participating entity in the industrial chain of the power project according to the importance and relationship of the participating entities;

[0100] Step S23: Based on the impact results of the assessment, the influence of the participating entities in the industrial chain is drawn in the form of a map; the map is displayed in the form of a network diagram; the drawn influence map is analyzed and interpreted to understand the position and influence of the power project in the industrial chain.

[0101] Preferably, step S21 of this embodiment: determine the industrial chain and participating entities of the power project, determine the scope of the industrial chain involved in the power project, and identify the participating entities; determining the industrial chain of the power project and the participating entities involved is helpful to understand the ecosystem of the power project and the relevant stakeholders. Step S22: Analyze the association relationship of the participating entities, analyze the supply relationship, cooperation relationship and competition relationship between the participating entities, and determine the interaction and dependency relationship; by analyzing the association relationship between the participating entities, the influence and mutual dependence between different entities in the industrial chain can be understood, providing a basis for subsequent evaluation and analysis. Step S23: Draw an influence map and analyze and interpret it. According to the evaluation results, the influence of the participating entities is drawn in the form of a network diagram; by drawing the influence map, the influence and mutual relationship of each participating entity in the power project can be intuitively displayed, and the position and influence of the power project in the industrial chain can be further understood.

[0102] This embodiment mainly includes determining the industrial chain and participating entities of the power project, analyzing the relationship between the participating entities, drawing an influence map, and analyzing and interpreting the map; through these steps, the position and influence of the power project in the industrial chain can be fully understood, providing a basis and reference for evaluating the implementation effect and results of the power project. The establishment of an influence map requires consideration of the weights and relationships of the participating entities, and can be evaluated and analyzed using methods such as expert evaluation, questionnaires, and data analysis. When evaluating the implementation effect and results of a power project, the established influence map can be used to analyze the contribution and influence of the participating entities, and a comprehensive evaluation can be conducted in combination with indicators of economic benefits, environmental benefits, and social benefits.

[0103] Furthermore, the process of mapping the influence of the participating entities in the industrial chain in the form of a graph in step S23 specifically includes the following steps:

[0104] Step S231: Participants with significant influence in the industrial chain are added to the graph as nodes; based on the association relationship, the connection relationship between the nodes is determined, and the edge represents the association relationship between the participants;

[0105] Step S232: Setting attributes such as the name and influence of each node; the attributes are used to indicate the importance of the participating entity in the industrial chain;

[0106] Step S233: Draw a graph using network diagram drawing software based on the information of nodes and edges, and present the nodes and edges in the form of association relationships.

[0107] Preferably, step S231 of this embodiment: adding the participating subject as a node to the graph and determining the connection relationship between the nodes; adding the participating subject to the graph in the form of a node and determining the edge connection relationship between the nodes; by representing the participating subject as a node and representing the association relationship between them through the edge, a visual graph is formed, which more intuitively shows the influence and mutual relationship between the participating subjects. Step S232: setting attributes for each node, such as name, influence size, etc., setting attributes for each node in the graph, such as name, influence size, etc.; by setting attributes for the node, the importance and influence of the participating subject in the industrial chain can be described more specifically, providing more information for subsequent analysis and interpretation. Step S233: using network diagram drawing software to draw a graph to present the relationship between nodes and edges, using network diagram drawing software to present nodes and edges in the form of association relationships; by drawing a graph, the association relationship and influence between the participating subjects can be graphically displayed, and the position and influence of the power project in the industrial chain can be more intuitively understood.

[0108] This embodiment mainly includes representing the participating entities as nodes, determining the connection relationship between the nodes, setting attributes for each node, and finally drawing a map using network diagram drawing software; this can form a visual map, more intuitively showing the influence and relationship between the participating entities, and helping to analyze and interpret the position and influence of the power project in the industrial chain.

[0109] Furthermore, if Figure 4 As shown, the process of evaluating the implementation effect and results of the power project in step S2 specifically includes the following steps:

[0110] Step S24: Determine an index system for evaluating power projects, including indicators in terms of economic benefits, environmental benefits, social benefits, etc.; set a weight for each evaluation indicator to reflect its importance in the overall evaluation; then set a scoring standard for each indicator and divide it into different levels;

[0111] Step S25: Collect data related to each evaluation indicator, including data before and after the project implementation; analyze the data, calculate the specific value of each indicator, and comprehensively consider the weight of each indicator to obtain the evaluation result;

[0112] Step S26: Conduct comprehensive evaluation and interpretation based on the evaluation results; compare the differences before and after implementation, and analyze the significance and impact of the evaluation results; and make improvement suggestions based on the evaluation results to further optimize the implementation effect and results of the power project.

[0113] Preferably, the present embodiment determines the index system for evaluating the power project, including indicators in terms of economic benefits, environmental benefits, social benefits, etc.; for example, the economic benefit index may include the project investment return rate, the income period, etc.; the environmental benefit index may include the reduction of carbon dioxide emissions, the utilization rate of renewable energy, etc.; the social benefit index may include employment increase, energy security, etc.; Step S24: determine the evaluation index system, set weights and scoring standards, determine the index system for evaluating the power project, set the weights and scoring standards of each index; by determining the evaluation index system, the economic benefits, environmental benefits and social benefits of the power project can be fully considered; setting weights and scoring standards helps to quantify the importance and evaluation level of each index, and provides a basis for subsequent data analysis and evaluation. Step S25: collect data and analyze it, calculate the index value and comprehensively consider the weight; collect data related to each evaluation index, perform data analysis, calculate the specific value of each index, and comprehensively consider the weight of each index; by collecting and analyzing data, the specific value of each evaluation index can be obtained, and the weight can be comprehensively considered to obtain the evaluation result; this helps to quantify the implementation effect and results of the power project, and provide data support for subsequent comprehensive evaluation. Step S26: Conduct comprehensive evaluation and interpretation, and propose improvement suggestions; Based on the evaluation results, conduct comprehensive evaluation and interpretation, compare the differences before and after implementation, and analyze the significance and impact of the evaluation results; Propose improvement suggestions based on the evaluation results; Through comprehensive evaluation and interpretation of the evaluation results, the implementation effect and results of the power project can be understood. Comparing the differences before and after implementation helps to evaluate the room for improvement of the project; Proposing improvement suggestions based on the evaluation results can optimize the implementation effect and results of the power project and improve the sustainability and comprehensive benefits of the project.

[0114] This embodiment mainly includes determining the evaluation index system, setting weights and scoring standards, collecting and analyzing data, comprehensively evaluating and interpreting the evaluation results, and proposing improvement suggestions; through these steps, the implementation effects and results of the power project can be quantified, helping decision makers and relevant stakeholders understand the comprehensive benefits and sustainable development of the project, thereby optimizing the implementation effects and results of the power project.

[0115] Furthermore, if Figure 5 As shown, the process of visual display and evaluation report generation in step S3 specifically includes the following steps:

[0116] Step S31: According to the evaluation index system, collect the specific values ​​and scores of various indicators of the power project in the industrial chain; according to the evaluation result data, design a visual display form, including maps and charts;

[0117] Step S32: Use the selected visualization tool to draw the influence map and related charts of the power project in the industrial chain; present the evaluation results in the form of nodes, edges, charts, etc.;

[0118] Step S33: Create an evaluation report based on the drawn maps and charts; the report should include specific values ​​of the evaluation results, analysis and explanations, and improvement suggestions; format and edit the evaluation report, and finally generate the evaluation report into an appropriate format, such as PDF, PPT, etc.

[0119] Preferably, step S41 of this embodiment: collect evaluation result data and design a visual display form; collect specific values ​​and scores of various indicators of power projects in the industrial chain, and design a visual display form; by collecting evaluation result data, the specific values ​​and scores of various indicators of power projects in the industrial chain can be obtained; designing a visual display form helps to intuitively display the evaluation results, so that relevant stakeholders can more easily understand the influence and comprehensive benefits of the project. Step S42: draw maps and charts, present the evaluation results in the form of nodes, edges, charts, etc., use visualization tools to draw the influence map and related charts of the power project in the industrial chain, and present the evaluation results in the form of nodes, edges, charts, etc.; by drawing maps and charts, the evaluation results are displayed in a visual way, and the weights, scores and relationships of various indicators are clearly displayed; it helps relevant stakeholders to better understand the influence and comprehensive benefits of power projects, so as to make better decisions and plans. Step S43: Create an evaluation report, including specific values, analysis and explanation, and suggestions for improvement. Create an evaluation report based on the drawn maps and charts, including specific values, analysis and explanation, and suggestions for improvement. By creating an evaluation report, the evaluation results are presented in the form of text and charts, providing specific values ​​and analysis and explanation, so that relevant stakeholders can have a more comprehensive understanding of the implementation effects and results of the power project. The report also provides improvement suggestions to help relevant parties optimize and improve the evaluation results.

[0120] This embodiment mainly includes collecting evaluation result data, designing a visual display form, drawing maps and charts, and creating an evaluation report; through these steps, the evaluation results can be displayed in a visual way and an evaluation report can be generated, providing specific values, analysis and explanations, and improvement suggestions, etc., to help relevant parties better understand and apply the evaluation results and promote the optimization and improvement of power projects. Through the above steps, the impact evaluation results of power projects in the industrial chain can be displayed in a visual way, and a corresponding evaluation report can be generated, providing specific values, analysis and explanations, and improvement suggestions, etc., so that relevant stakeholders can understand the comprehensive benefits and improvement directions of the project.

[0121] like Figure 6 As shown, this embodiment also provides an embodiment of an analysis system based on the influence map of the artificial intelligence industry chain. In this embodiment, the analysis system based on the influence map of the artificial intelligence industry chain is applied to the analysis method based on the influence map of the artificial intelligence industry chain in the above-mentioned embodiment. The analysis system based on the influence map of the artificial intelligence industry chain includes a data acquisition module 1, a map establishment module 2, and a report generation module 3 which are electrically connected in sequence.

[0122] Among them, the data acquisition module 1 is used to collect relevant data and information of the power project, including various indicators, costs, benefits and environmental impact data during the implementation of the project; at the same time, the data is cleaned; natural language processing using artificial intelligence technology is used to analyze and mine the data; the map establishment module 2 is used to use the industrial chain analysis method to establish an influence map of the power project in the industrial chain, and obtain the position and influence of the power project in the industrial chain; design evaluation indicators and models to evaluate the implementation effect and results of the power project; the evaluation indicators include indicators in terms of economic benefits, environmental benefits, social benefits, etc.; the report generation module 3 is used to comprehensively evaluate the influence of the power project in the industrial chain, including the weights and scores of various indicators; the evaluation results are visualized in the form of maps and charts; and an evaluation report is also generated, including the specific values ​​of the evaluation results, analysis and explanations, and improvement suggestions.

[0123] Preferably, the data collection and processing of this embodiment collects relevant data and information of the power project, including various indicators, costs, benefits, environmental impacts, etc.; cleans the data to ensure the accuracy and consistency of the data; uses natural language processing technology to analyze and mine the data to extract valuable information and patterns. Industrial chain modeling and analysis, establishes an influence map of the power project in the industrial chain, describes the position and influence of the project in the industrial chain; designs evaluation indicators and models to evaluate the implementation effect and results of the power project; the evaluation indicators include indicators in terms of economic benefits, environmental benefits, social benefits, etc., which are used to quantify the influence and effect of the evaluation project. Comprehensive evaluation and visual display, comprehensively evaluate the influence of the power project in the industrial chain, including the weights and scores of various indicators; visualizes the evaluation results in the form of maps and charts to help users intuitively understand the influence and evaluation results of the project; generates an evaluation report, including the specific values ​​of the evaluation results, analysis and explanations, and improvement suggestions. This allows the evaluation of power projects to be more scientific and objective, provides accurate data support and comprehensive evaluation results, and visual display and report generation also provide a more intuitive and easy-to-understand way to present the evaluation results.

[0124] In summary, this embodiment, based on the artificial intelligence industry chain influence map system, can provide support and applications for power project evaluation in terms of data analysis and mining, evaluation index and model optimization, comprehensive evaluation and decision support, visualization display and report generation; by combining the technical means of artificial intelligence and industry chain analysis, the effect and value of power project evaluation can be improved.

[0125] Furthermore, the data acquisition module 1 specifically includes:

[0126] The data cleaning submodule is used to remove duplicate data from the collected data; perform natural language processing on text data, including word segmentation, part-of-speech tagging, and named entity recognition;

[0127] The feature extraction submodule is used to extract key features from text data for analysis and mining; it identifies relationships and associations in text through natural language technology;

[0128] The regression analysis submodule is used to explore the relationship between indicators using regression analysis and to discover patterns and groups in the data using cluster analysis; to explain and interpret the analysis results and form conclusions.

[0129] Preferably, the data cleaning and text processing of this embodiment removes the cleaning of duplicate data to ensure the accuracy and consistency of the data; natural language processing technology is used to perform word segmentation, part-of-speech tagging and named entity recognition on text data to convert text data into structured analyzable data. Feature extraction and relationship identification extract key features from text data for subsequent analysis and mining. For example, extract key information such as indicators, costs, benefits and environmental impacts of the project; identify relationships and associations in the text through natural language processing technology, such as the association between the project and the links of the industrial chain, the relationship between indicators, etc. Data analysis and result interpretation use statistical methods such as regression analysis to explore the relationship between indicators and help understand the correlation and influencing factors in the data; use machine learning methods such as cluster analysis to discover patterns and groups in the data to help understand the distribution and classification of the data; interpret and interpret the analysis results to form meaningful conclusions and help evaluate the effects and impacts of the project. This makes the analysis and mining of data more in-depth and targeted, and can extract key features and relationship information from a large amount of data to help understand the meaning and trend of the data, and provide a scientific basis for subsequent decision-making and evaluation.

[0130] This embodiment uses natural language processing and data analysis methods of artificial intelligence technology to conduct in-depth mining and analysis of power project data to obtain valuable information and insights. This information can be used for subsequent industrial chain influence map analysis to evaluate the effects and impacts of power projects.

[0131] Furthermore, the graph establishment module 2 specifically includes:

[0132] The content determination submodule is used to determine the industrial chain involved in the power project, including the supply chain and value chain; at the same time, determine the scope of the industrial chain and the relevant participants; identify the participants with significant influence in the industrial chain of the power project, including power suppliers, equipment manufacturers, builders, operators, government agencies and consumers;

[0133] The relationship analysis submodule is used to analyze the relationship between the participating entities, including supply relationship, cooperation relationship and competition relationship, etc.; determine the interaction and dependency between the participating entities; and evaluate the influence of each participating entity in the industrial chain of the power project based on the importance and relationship of the participating entities;

[0134] The map drawing submodule is used to draw the influence of the participating entities in the industrial chain in the form of a map based on the impact results of the assessment; the map is displayed in the form of a network diagram; the drawn influence map is analyzed and interpreted to understand the position and influence of the power project in the industrial chain;

[0135] The system determination submodule is used to determine the indicator system for evaluating power projects, including indicators in terms of economic benefits, environmental benefits, social benefits, etc.; set weights for each evaluation indicator to reflect its importance in the overall evaluation; then set scoring standards for each indicator and divide it into different levels;

[0136] The numerical calculation submodule is used to collect data related to each evaluation indicator, including data before and after the project implementation; analyze the data, calculate the specific value of each indicator, and comprehensively consider the weight of each indicator to obtain the evaluation result;

[0137] The result evaluation submodule is used to conduct comprehensive evaluation and interpretation based on the evaluation results; compare the differences before and after implementation, analyze the significance and impact of the evaluation results; and make improvement suggestions based on the evaluation results to further optimize the implementation effect and results of the power project.

[0138] Preferably, the present embodiment determines the industrial chain and participating entities of the power project, determines the scope of the industrial chain involved in the power project, and identifies the participating entities; determining the industrial chain of the power project and the participating entities involved helps to understand the ecosystem of the power project and the relevant stakeholders. Analyze the relationship between the participating entities, analyze the supply relationship, cooperation relationship and competition relationship between the participating entities, and determine the interaction and dependency relationship; by analyzing the relationship between the participating entities, the influence and interdependence between different entities in the industrial chain can be understood, providing a basis for subsequent evaluation and analysis. Draw an influence map and analyze and interpret it. According to the evaluation results, the influence of the participating entities is drawn in the form of a network diagram; by drawing an influence map, the influence and relationship of each participating entity in the power project can be intuitively displayed, and the position and influence of the power project in the industrial chain can be further understood.

[0139] This embodiment mainly includes determining the industrial chain and participating entities of the power project, analyzing the relationship between the participating entities, drawing an influence map, and analyzing and interpreting the map; through these steps, the position and influence of the power project in the industrial chain can be fully understood, providing a basis and reference for evaluating the implementation effect and results of the power project. The establishment of an influence map requires consideration of the weights and relationships of the participating entities, and can be evaluated and analyzed using methods such as expert evaluation, questionnaires, and data analysis. When evaluating the implementation effect and results of a power project, the established influence map can be used to analyze the contribution and influence of the participating entities, and a comprehensive evaluation can be conducted in combination with indicators of economic benefits, environmental benefits, and social benefits.

[0140] Preferably, the present embodiment determines the index system for evaluating the power project, including indicators in terms of economic benefits, environmental benefits, social benefits, etc.; for example, the economic benefit index may include the project investment return rate, the income period, etc.; the environmental benefit index may include the reduction of carbon dioxide emissions, the utilization rate of renewable energy, etc.; the social benefit index may include employment increase, energy security, etc.; determine the evaluation index system, set weights and scoring standards, determine the index system for evaluating the power project, set the weights and scoring standards of each index; by determining the evaluation index system, the economic benefits, environmental benefits and social benefits of the power project can be comprehensively considered; setting weights and scoring standards helps to quantify the importance and evaluation level of each index, and provides a basis for subsequent data analysis and evaluation. Collect data and analyze them, calculate the index values ​​and comprehensively consider the weights; collect data related to each evaluation index, perform data analysis, calculate the specific values ​​of each index, and comprehensively consider the weights of each index; by collecting and analyzing data, the specific values ​​of each evaluation index can be obtained, and the weights can be comprehensively considered to obtain the evaluation results; this helps to quantify the implementation effect and results of the power project, and provide data support for subsequent comprehensive evaluation. Conduct comprehensive evaluation and interpretation, and put forward suggestions for improvement; Based on the evaluation results, conduct comprehensive evaluation and interpretation, compare the differences before and after implementation, and analyze the significance and impact of the evaluation results; Put forward suggestions for improvement based on the evaluation results; Through comprehensive evaluation and interpretation of the evaluation results, we can understand the implementation effect and results of the power project. Comparing the differences before and after implementation helps to evaluate the room for improvement of the project; Put forward suggestions for improvement based on the evaluation results, we can optimize the implementation effect and results of the power project and improve the sustainability and comprehensive benefits of the project.

[0141] This embodiment mainly includes determining the evaluation index system, setting weights and scoring standards, collecting and analyzing data, comprehensively evaluating and interpreting the evaluation results, and proposing improvement suggestions; through these steps, the implementation effects and results of the power project can be quantified, helping decision makers and relevant stakeholders understand the comprehensive benefits and sustainable development of the project, thereby optimizing the implementation effects and results of the power project.

[0142] Furthermore, the report generation module 3 specifically includes:

[0143] The result visualization submodule is used to collect the specific values ​​and scores of various indicators of power projects in the industrial chain according to the evaluation indicator system; and to design the form of visualization display according to the evaluation result data, including maps and charts;

[0144] The result presentation submodule is used to draw the influence map and related charts of the power project in the industrial chain using the selected visualization tools; the evaluation results are presented in the form of nodes, edges, charts, etc.

[0145] The report creation submodule is used to create an evaluation report based on the drawn maps and charts; the report should include specific values ​​of the evaluation results, analysis and explanations, and improvement suggestions; the evaluation report is formatted and edited, and finally generated into an appropriate format, such as PDF, PPT, etc.

[0146] Preferably, the present embodiment collects evaluation result data and designs a visual display form; collects specific values ​​and scores of various indicators of power projects in the industrial chain, and designs a visual display form; by collecting evaluation result data, the specific values ​​and scores of various indicators of power projects in the industrial chain can be obtained; designing a visual display form helps to intuitively display the evaluation results, so that relevant stakeholders can more easily understand the influence and comprehensive benefits of the project. Draw maps and charts, present the evaluation results in the form of nodes, edges, charts, etc., use visualization tools to draw influence maps and related charts of power projects in the industrial chain, and present the evaluation results in the form of nodes, edges, charts, etc.; by drawing maps and charts, the evaluation results are displayed in a visual way, and the weights, scores and relationships of various indicators are clearly displayed; it helps relevant stakeholders to better understand the influence and comprehensive benefits of power projects, so as to make better decisions and plans. Create an assessment report, including specific values, analysis and explanation, and suggestions for improvement. Create an assessment report based on the drawn maps and charts, including specific values, analysis and explanation, and suggestions for improvement. By creating an assessment report, the assessment results are presented in the form of text and charts, providing specific values ​​and analysis and explanation, so that relevant stakeholders can have a more comprehensive understanding of the implementation effects and results of the power project. The report also provides improvement suggestions to help relevant parties optimize and improve the assessment results.

[0147] This embodiment mainly includes collecting evaluation result data, designing a visual display form, drawing maps and charts, and creating an evaluation report; through these steps, the evaluation results can be displayed in a visual way and an evaluation report can be generated, providing specific values, analysis and explanations, and improvement suggestions, etc., to help relevant parties better understand and apply the evaluation results and promote the optimization and improvement of power projects. Through the above steps, the impact evaluation results of power projects in the industrial chain can be displayed in a visual way, and a corresponding evaluation report can be generated, providing specific values, analysis and explanations, and improvement suggestions, etc., so that relevant stakeholders can understand the comprehensive benefits and improvement directions of the project.

[0148] like Figure 7 As shown, this embodiment provides an embodiment of an electronic device. In this embodiment, the electronic device 4 includes a processor 41 and a memory 42 coupled to the processor 41.

[0149] The memory 42 stores program instructions for implementing the artificial intelligence industry chain influence map analysis method based on any of the above embodiments.

[0150] The processor 41 is used to execute program instructions stored in the memory 42 to perform influence map analysis based on the artificial intelligence industry chain.

[0151] The processor 41 may also be referred to as a CPU (Central Processing Unit). The processor 41 may be an integrated circuit chip having signal processing capabilities. The processor 41 may also be a general-purpose processor, a digital signal processor (DSP), an application-specific integrated circuit (ASIC), a field programmable gate array (FPGA) or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components. The general-purpose processor may be a microprocessor or the processor may also be any conventional processor, etc.

[0152] Further, Figure 8 The schematic diagram of the structure of the storage medium of an embodiment of the present application is that the storage medium 5 of the embodiment of the present application stores program instructions 51 that can implement all the above methods, wherein the program instructions 51 can be stored in the above storage medium in the form of a software product, including several instructions for enabling a computer device (which can be a personal computer, server, or network device, etc.) or a processor to execute all or part of the steps of the methods described in each embodiment of the present application. The aforementioned storage medium includes: various media that can store program codes, such as a USB flash drive, a mobile hard disk, a read-only memory (ROM), a random access memory (RAM), a magnetic disk or an optical disk, or terminal devices such as a computer, a server, a mobile phone, and a tablet.

[0153] In the several embodiments provided by the present invention, it should be understood that the disclosed systems, devices and methods can be implemented in other ways. For example, the device embodiments described above are only schematic, for example, the division of units is only a logical function division, and there may be other division methods in actual implementation, such as 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 an indirect coupling or communication connection through some interfaces, devices or units, which can be electrical, mechanical or other forms.

[0154] In addition, each functional unit in each embodiment of the present invention may be integrated into one processing unit, or each unit may exist physically separately, or two or more units may be integrated into one unit. The above integrated unit may be implemented in the form of hardware or in the form of software functional units. The above is only an implementation mode of the present invention, and does not limit the patent scope of the present invention. Any equivalent structure or equivalent process transformation made by using the contents of the present invention specification and drawings, or directly or indirectly used in other related technical fields, is also included in the patent protection scope of the present invention.

[0155] The specific implementation methods of the invention are described in detail above, but they are only examples, and the invention is not limited to the specific implementation methods described above. For those skilled in the art, any equivalent modification or substitution of the invention is also within the scope of the invention, therefore, the equalization, modification, improvement, etc. made without departing from the spirit and principle of the invention should be included in the scope of the invention.

Claims

1. A method for analyzing the influence graph of the artificial intelligence industry chain, characterized in that: The said artificial intelligence industry chain influence spectrum analysis method includes: Collect relevant data and information of power projects and clean the data; use natural language processing of artificial intelligence technology to analyze and mine the data; Using the industrial chain analysis method, establish the influence map of power projects in the industrial chain, and obtain the position and influence of power projects in the industrial chain; design evaluation indicators and models to evaluate the implementation effects and results of power projects; By comprehensively evaluating the influence of power projects in the industrial chain, including the weights and scores of various indicators; visualizing the evaluation results in the form of maps and charts; and generating an evaluation report.

2. The method for analyzing the influence graph of the artificial intelligence industry chain according to claim 1 is characterized in that: The relevant data and information of power projects include various indicators, costs, benefits and environmental impact data during project implementation; Evaluation indicators include economic benefits, environmental benefits, and social benefits; The evaluation report includes the specific numerical values ​​of the evaluation results, analysis and explanation, and improvement suggestions.

3. The method for analyzing the influence graph of the artificial intelligence industry chain according to claim 1 is characterized in that: The process of analyzing and mining data includes: Clean the collected data to remove duplicate data; perform natural language processing on text data, including word segmentation, part-of-speech tagging, and named entity recognition; Extract key features from text data for analysis and mining; identify relationships and associations in text through natural language technology; Use regression analysis to explore the relationship between indicators and cluster analysis to discover patterns and groups in the data; explain and interpret the analysis results to form conclusions.

4. The method for analyzing the influence graph of the artificial intelligence industry chain according to claim 3 is characterized in that: Identify relationships and connections in text using natural language techniques, including: Use natural language processing technology to perform semantic analysis on texts, converting texts into semantic representations by using grammatical analysis and semantic role labeling; identify entities in texts by naming entities, which include names of people, places, and organizations; link entities with entities in the knowledge base to obtain more related information; By using semantic role labeling and dependency parsing, relation extraction techniques are used to extract relations and associations in texts and identify relations between entities in texts. By using statistical analysis to analyze the extracted relationships and associations, the correlations and association patterns between entities are discovered, and the hidden associations in the text are obtained.

5. The method for analyzing the influence graph of the artificial intelligence industry chain according to claim 3 is characterized in that: Use cluster analysis to discover patterns and group processes in data, including: Select features from the dataset that describe the similarities and differences between samples; perform z-score normalization on the selected features; Select K-means clustering to perform cluster analysis on the data; the clustering algorithm divides samples into different clusters or groups based on the similarity measurement between samples; the result of clustering is that a group of samples with similar characteristics are clustered together; Use the silhouette coefficient to evaluate the quality and rationality of clustering results; interpret the clustering results to understand the characteristics and meaning of each cluster or group.

6. The method for analyzing the influence graph of the artificial intelligence industry chain according to claim 1 is characterized in that: The process of establishing a map of the influence of power projects in the industrial chain includes: Determine the industrial chain involved in the power project, including the supply chain and value chain; at the same time, determine the scope of the industrial chain and the relevant participants; identify the participants with significant influence in the industrial chain of the power project, including power suppliers, equipment manufacturers, builders, operators, government agencies and consumers; Analyze the relationships among the participants, including supply relationships, cooperation relationships, and competition relationships; determine the interactions and dependencies among the participants; and evaluate the influence of each participant in the industrial chain of the power project based on the importance and relationships of the participants; Based on the impact assessment results, the influence of the participating entities in the industrial chain is mapped in the form of a map; the map is displayed in the form of a network diagram; the mapped influence map is analyzed and interpreted to understand the position and influence of the power project in the industrial chain.

7. The method for analyzing the influence graph of the artificial intelligence industry chain according to claim 6 is characterized in that: The process of mapping the influence of participating entities in the industrial chain in the form of a map includes: Participants with significant influence in the industrial chain are added to the graph as nodes; the connection relationship between nodes is determined based on the association relationship, and the edge represents the association relationship between the participants; Set the name and influence attributes of each node; the attributes are used to indicate the importance of the participating entity in the industrial chain; Based on the information of nodes and edges, a network diagram drawing software is used to draw a graph, presenting the nodes and edges in the form of association relationships.

8. The method for analyzing the influence graph of the artificial intelligence industry chain according to claim 6 is characterized in that: The process of evaluating the implementation effects and results of power projects includes: Determine the index system for evaluating power projects, including indicators of economic benefits, environmental benefits, and social benefits; set weights for each evaluation indicator to reflect its importance in the overall evaluation; then set scoring standards for each indicator and divide it into different levels; Collect data related to each evaluation indicator, including data before and after the project implementation; analyze the data, calculate the specific value of each indicator, and comprehensively consider the weight of each indicator to obtain the evaluation results; Conduct comprehensive evaluation and interpretation based on the evaluation results; compare the differences before and after implementation, and analyze the significance and impact of the evaluation results; and make improvement suggestions based on the evaluation results to further optimize the implementation effects and outcomes of the power project.

9. The method for analyzing the influence graph of the artificial intelligence industry chain according to claim 1 is characterized in that: The process of visual display and evaluation report generation includes the following steps: According to the evaluation index system, collect the specific values ​​and scores of various indicators of power projects in the industrial chain; design visual display forms, including maps and charts, based on the evaluation result data; Use the selected visualization tools to draw the influence map and related charts of the power project in the industrial chain; present the evaluation results in the form of nodes, edges, and charts; Create an evaluation report based on the drawn maps and charts; the report should include specific numerical values ​​of the evaluation results, analysis and explanations, and improvement suggestions; format and edit the evaluation report, and finally generate the evaluation report in an appropriate format.

10. A system for analyzing the influence graph of the artificial intelligence industry chain, which is applied to the method for analyzing the influence graph of the artificial intelligence industry chain as claimed in any one of claims 1 to 9, characterized in that: The artificial intelligence industry chain influence graph analysis system includes: The data acquisition module is used to collect relevant data and information of power projects, including various indicators, costs, benefits and environmental impact data during project implementation; at the same time, the data is cleaned; natural language processing using artificial intelligence technology is used to analyze and mine the data; The map establishment module is used to establish the influence map of power projects in the industrial chain by using the industrial chain analysis method, and obtain the position and influence of power projects in the industrial chain; design evaluation indicators and models to evaluate the implementation effects and results of power projects; the evaluation indicators include economic benefits, environmental benefits, and social benefits; The report generation module is used to comprehensively evaluate the influence of power projects in the industrial chain, including the weight and score of various indicators; visualize the evaluation results in the form of maps and charts; and generate an evaluation report, including the specific values ​​of the evaluation results, analysis and explanations, and improvement suggestions.

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