Power system technology visualization display method and system based on knowledge graph

Abstract

The invention provides an electric power system technology visualization display method and system based on a knowledge graph, and relates to the technical field of electric power systems, and the method comprises the following steps: S1, a data preprocessing stage; s2, a database construction stage; s3, a structural design stage; s4, a data integration stage; s5, interface design and development; s6, drawing and optimizing an atlas; s7, system interaction and function improvement; the system comprises a data acquisition and preprocessing module, a database construction and management module, an atlas structure design and drawing module, a user interaction and data updating module and an interface display and control module. Through improved data processing, dynamic updating, user interaction and visual display, the defects of an atlas in the prior art are overcome; and a more efficient and intuitive solution is provided for technical management and innovative resource display of a novel power system.

Description

Technical Field

[0001] The present invention relates to the field of power system technology, and in particular to a method and system for visualizing power system technology based on a knowledge graph. Background Art

[0002] The new power system is a core component of the energy industry, involving all aspects of power production, transmission, distribution and consumption. With the increasing global demand for renewable energy and the requirements for power system stability and efficiency, new power system technologies are constantly developing, covering smart grids, energy storage technologies, distributed energy systems and other fields. The rapid development of these technologies has made the power system more complex, and has put forward higher requirements for the effective integration and display of technology management and innovative resources; Technology maps are an important tool for technology management and innovation resource display. They present complex technology systems in a hierarchical and systematic manner through a tree structure, making it easier for technicians and managers to understand and grasp the status of technology development. At present, the application of technology maps in new power systems mainly focuses on the integration and display of scientific and technological resources, industrial resources and talent resources. However, existing technology maps have deficiencies in data integration, dynamic update, user interaction and visual display, and cannot fully meet industry needs, as detailed below: 1. Difficulty in data integration: The data sources of existing technical maps are wide-ranging and the data formats are not uniform, which makes the data integration process complicated and prone to data loss and duplication.

[0003] 2. Insufficient dynamic updates: Traditional technology maps lack a real-time dynamic update mechanism and are unable to promptly reflect the latest technological developments and changes in innovation resources.

[0004] 3. Poor user interaction experience: The existing graph display method is single, and users cannot retrieve and highlight technical nodes through simple operations, and the interactivity is not strong.

[0005] 4. Poor visualization effect: Existing maps have limitations in hierarchical display and visual effects, and cannot intuitively display complex technical structures and resource distribution.

[0006] Therefore, a method and system for visualizing power system technology based on knowledge graph is proposed here. Summary of the invention

[0007] The purpose of the present invention is to solve the shortcomings existing in the prior art. However, the prior art graphs have deficiencies in data integration, dynamic updating, user interaction and visual display, and cannot fully meet industry needs.

[0008] To this end, the first aspect of the present invention proposes a method for visualizing power system technology based on a knowledge graph, the method being applied to a visualizing power system technology based on a knowledge graph, the method comprising the following steps: S1, data preprocessing stage: 1) Data collection strategy: first, form an interdisciplinary team and clarify the data collection standards and scope; 2) Develop automated scripts to remove duplicates, missing values, detect and remove outliers from the collected data, use regular expressions to clean invalid characters to ensure data purity, and apply natural language processing technology to identify and correct semantic errors and contradictory information in the data; 3) Data integration and standardization: build data mapping tables, unify field names, measurement units and time formats of data from different sources, use ETL tools to complete data integration through extraction, conversion and loading, and use NLP technology for semantic analysis and structural conversion of unstructured data; S2, database construction stage: 1) Database architecture design: Based on NoSQL databases, such as MongoDB, a flexible tree structure model is designed to ensure high performance and scalability. The root node is defined as "new power system", which has five first-level classification nodes. Each node is further subdivided into six levels of technical classification, and each level of node is equipped with detailed metadata description; 2) Hierarchical relationship management: develop algorithms to automatically identify and establish parent-child relationships between nodes, while supporting manual adjustments to optimize the logic and intuitiveness of the tree structure. Set a unique ID for each node in the database and maintain a relationship index to facilitate fast query and traversal; S3, Structural design stage: 1) Refine the tree structure. Use visualization tools to initially build a rough sketch of the technology map. Collaborate with domain experts to repeatedly adjust the attribution and hierarchy of each technology node to ensure that the structure is scientific and reasonable. Use a top-down design approach to gradually refine from macro to micro. 2) Node attribute definition: define key attributes for each node, such as technology maturity, application scope, research popularity, etc. These attributes will be used for the visual representation and screening function of the graph; S4, Data Integration Phase: 1) Data import and verification: develop a data import module to batch import cleaned and standardized data into the database according to preset mapping rules, implement a data verification mechanism, automatically compare the consistency of data before and after import, and promptly detect and repair import errors; 2) Data integrity monitoring: deploy data integrity check scripts, run them periodically, monitor data updates, and ensure data freshness and integrity; S5. Interface design and development: 1) UI / UX design follows the humanized design principles and designs a simple and intuitive user interface, including key elements such as the technical map overview, search bar, filter, node details page, etc., using responsive design to ensure good display on different devices; 2) Interactive function implementation: the front-end uses Vue.js or React framework, combined with graphics libraries such as D3.js, to implement functions such as dynamic loading of graphs, node dragging, folding and expanding, click highlighting, and search positioning, optimize interactive logic, and improve user experience; S6. Spectrum drawing and optimization: 1) Graph rendering engine: Develop a custom rendering engine to dynamically generate technology graphs based on the hierarchical relationships and node attributes in the database; 2) Visual optimization: according to the node attributes, apply color coding (such as differentiating colors by field), size changes (reflecting importance or influence) and other visual elements to make the map both beautiful and rich in information; S7: System interaction and function improvement: 1) Intelligent retrieval system: integrated full-text retrieval engine, supports keywords, fuzzy matching and advanced search, quickly locates technical nodes, provides recommendation system, and pushes relevant technical information based on user behavior and preferences; 2) Dynamic update mechanism: Establish a data update plan and notification system. When the database receives new data or has major updates, it will automatically trigger a local or global refresh of the map and inform users via email or on-site notifications.

[0009] Optionally, the data collection strategy collects scientific and technological resources, industry trends and talent information related to the new power system from sources such as global scientific research institutions, leading companies, industry reports, academic journals and professional talent databases through API interfaces, web crawlers, public databases and sharing with cooperative institutions.

[0010] Optionally, the data collection strategy must also ensure coverage of all-round data such as the source side (energy generation), grid side (power transmission and distribution), load side (user-side demand management), storage side (energy storage) and basic commonalities (general technology and theory).

[0011] Optionally, the graph rendering engine adopts layered rendering technology to display the first and second level nodes preferentially, and the lower level nodes can be expanded as needed to reduce the initial loading burden.

[0012] Optionally, the system interaction and function improvement further includes: 3) User feedback loop: establish user feedback channels, continuously collect user opinions, perform function iterations and performance optimization, and form a closed-loop continuous improvement mechanism.

[0013] The second aspect of the present invention proposes a power system technology visualization display system based on knowledge graph, the system composition includes: Data collection and preprocessing module, which is responsible for automatically collecting data on scientific and technological resources, industrial resources and human resources from various data sources. The data is cleaned, sorted and standardized to remove redundant and erroneous information, unify the data format and structure, and prepare high-quality input data for subsequent processing; the output of this module is a structured and standardized data set, which serves as the basis for database construction; Database construction and management module: This module designs a database based on a tree structure to store and manage technology node information and hierarchical relationships. It supports multi-level technology classification and assigns a unique identifier to each node to ensure data integrity, consistency, and efficient query. This module receives input data from the data acquisition and preprocessing module and provides data support for the atlas drawing module. Graph structure design and drawing module, which is responsible for the logical design and visual display of the technology graph. It designs a reasonable node layout and hierarchical relationship display scheme based on the structural information in the database, and uses front-end technology to generate a dynamic and interactive graph interface. This module receives technology nodes and structural data from the database module, and outputs a visual graph that is intuitive and easy to understand for users. It supports functions such as folding, expanding, searching and highlighting nodes. User interaction and data update module: This module focuses on user experience and data timeliness, and implements retrieval, dynamic update and interactive control of technology maps. Users can quickly locate technology nodes through the search box. The system updates technology, industry and talent resource information in real time according to user needs. Modules interact through API interfaces to ensure that user requests can trigger corresponding data retrieval, processing and display actions, maintaining the freshness and interactivity of system information; The interface display and control module is responsible for designing and implementing a friendly and efficient user interface. It distinguishes nodes of different levels and technical fields through visual elements such as color coding and size changes, receives user input instructions, and feeds back to the map drawing module and data update module to achieve seamless connection between user intentions and system responses.

[0014] Optionally, the interface display and control module integrates map drawing and interaction functions to ensure that users can easily browse the map, understand the technical structure, and obtain detailed information.

[0015] Compared with the prior art, the present invention has the following beneficial effects: 1. Improve data integration and processing efficiency. Preprocessing and standardization ensure data accuracy and consistency, significantly improve data integration efficiency, and avoid data loss and duplication.

[0016] 2. Real-time dynamic update. The dynamic update mechanism enables the technology map to promptly reflect the latest technological developments and changes in innovation resources, ensuring the timeliness of information.

[0017] 3. Optimized user interaction experience, efficient user interaction design and flexible search function make user operation easy, and can quickly locate and highlight relevant technical nodes to improve user experience.

[0018] 4. High-quality visual display effects, hierarchical tree structures and diversified display methods make the technical map clear in hierarchy and excellent in display effects, making it easier for users to understand and analyze complex technical structures.

[0019] 5. Comprehensive resource integration and display, integrating scientific and technological resources, industrial resources and talent resources, providing a complete panorama of the innovation ecosystem, and supporting comprehensive technology management and decision-making.

[0020] In summary, the present invention solves the shortcomings of existing technical maps through improved data processing, dynamic updating, user interaction and visual display, and provides a more efficient and intuitive solution for technical management and innovative resource display of new power systems. BRIEF DESCRIPTION OF THE DRAWINGS

[0021] Figure 1 A flowchart of the steps of a method for visualizing power system technology based on knowledge graph provided by the present invention; Figure 2 A block diagram of a power system technology visualization display system based on a knowledge graph is provided in the present invention. DETAILED DESCRIPTION

[0022] The technical solutions in the embodiments of the present invention will be clearly and completely described below in conjunction with the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, rather than all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without making creative work are within the scope of protection of the present invention.

[0023] To facilitate understanding of the present invention, the present invention will be described more comprehensively below with reference to related references, and several embodiments of the present invention are given. However, the present invention can be implemented in many different forms and is not limited to the embodiments described herein. On the contrary, the purpose of providing these embodiments is to make the disclosure of the present invention more thorough and comprehensive.

[0024] Unless otherwise defined, all technical and scientific terms used herein have the same meaning as commonly understood by technicians in the technical field to which the present invention belongs. The terms used in the specification of the present invention are only for the purpose of describing specific embodiments and are not intended to limit the present invention. The term "and / or" used in this article includes any and all combinations of one or more related listed items.

[0025] Figure 1 A flowchart of a method for visualizing power system technology based on a knowledge graph provided in an embodiment of the present invention is provided. The method is applied to a visual display system for power system technology based on a knowledge graph. The system includes: a data acquisition and preprocessing module, a database construction and management module, a graph structure design and drawing module, a user interaction and data update module, and an interface display and control module. The method includes the following steps: S1, data preprocessing stage: 1) Data collection strategy: first, form an interdisciplinary team and clarify the data collection standards and scope; Specifically, the data collection strategy collects scientific and technological resources, industry trends and talent information related to new power systems from sources such as global scientific research institutions, leading companies, industry reports, academic journals and professional talent databases through API interfaces, web crawlers, public databases and sharing by cooperative institutions.

[0026] 2) Develop automated scripts to remove duplicates, missing values, detect and remove outliers from the collected data, use regular expressions to clean invalid characters to ensure data purity, and apply natural language processing technology to identify and correct semantic errors and contradictory information in the data; 3) Data integration and standardization: build data mapping tables, unify field names, measurement units and time formats of data from different sources, use ETL tools to complete data integration through extraction, conversion and loading, and use NLP technology for semantic analysis and structural conversion of unstructured data; S2, database construction stage: 1) Database architecture design: Based on NoSQL databases, such as MongoDB, a flexible tree structure model is designed to ensure high performance and scalability. The root node is defined as "new power system", which has five first-level classification nodes. Each node is further subdivided into six levels of technical classification, and each level of node is equipped with detailed metadata description; By dynamically adjusting and expanding the six-layer technology classification capabilities, it can adapt to technological development and continuously maintain the accuracy and comprehensiveness of the map, which is more advantageous than static technology map products.

[0027] 2) Hierarchical relationship management: develop algorithms to automatically identify and establish parent-child relationships between nodes, while supporting manual adjustments to optimize the logic and intuitiveness of the tree structure. Set a unique ID for each node in the database and maintain a relationship index to facilitate fast query and traversal; S3, Structural design stage: 1) Refine the tree structure. Use visualization tools to initially build a rough sketch of the technology map. Collaborate with domain experts to repeatedly adjust the attribution and hierarchy of each technology node to ensure that the structure is scientific and reasonable. Use a top-down design approach to gradually refine from macro to micro. 2) Node attribute definition: define key attributes for each node, such as technology maturity, application scope, research popularity, etc. These attributes will be used for the visual representation and screening function of the graph; S4, Data Integration Phase: 1) Data import and verification: develop a data import module to batch import cleaned and standardized data into the database according to preset mapping rules, implement a data verification mechanism, automatically compare the consistency of data before and after import, and promptly detect and repair import errors; 2) Data integrity monitoring: deploy data integrity check scripts, run them periodically, monitor data updates, and ensure data freshness and integrity; S5. Interface design and development: 1) UI / UX design follows the humanized design principles and designs a simple and intuitive user interface, including key elements such as the technical map overview, search bar, filter, node details page, etc., using responsive design to ensure good display on different devices; 2) Interactive function implementation: the front-end uses Vue.js or React framework, combined with graphics libraries such as D3.js, to implement functions such as dynamic loading of graphs, node dragging, folding and expanding, click highlighting, and search positioning, optimize interactive logic, and improve user experience; S6. Spectrum drawing and optimization: 1) Graph rendering engine: Develop a custom rendering engine to dynamically generate technology graphs based on the hierarchical relationships and node attributes in the database; Among them, the graph rendering engine adopts layered rendering technology, giving priority to displaying the first and second level nodes. Low-level nodes can be expanded as needed to reduce the burden of initial loading.

[0028] 2) Visual optimization: according to the node attributes, color coding is applied, such as differentiating colors by field, size changes (reflecting importance or influence), and other visual elements, so that the map is both beautiful and rich in information; By using different colors and sizes to distinguish technical nodes at different levels, especially using specific color codes for source, network, load, storage, and basic commonalities, the readability of the map and the efficiency of information transmission are enhanced.

[0029] S7: System interaction and function improvement: 1) Intelligent retrieval system: integrated full-text retrieval engine, supports keywords, fuzzy matching and advanced search, quickly locates technical nodes, provides recommendation system, and pushes relevant technical information based on user behavior and preferences; 2) Dynamic update mechanism: Establish a data update plan and notification system. When the database receives new data or has a major update, it will automatically trigger a partial or global refresh of the map and notify users via email or on-site notifications; It also includes 3) user feedback loop, setting up user feedback channels, continuously collecting user opinions, performing function iterations and performance optimization, and forming a closed-loop continuous improvement mechanism.

[0030] Furthermore, the data collection strategy must ensure coverage of all-round data such as the source side (energy generation), grid side (power transmission and distribution), load side (user-side demand management), storage side (energy storage) and basic commonalities (general technology and theory). The following is the data source and collection as well as data analysis and management.

[0031] Source-side data covers both renewable energy data and traditional energy data, using the Internet of Things (IoT) technology to monitor the status of power generation equipment in real time, collect real-time data, and use data analysis models to evaluate power generation efficiency and predict production capacity, providing a basis for scheduling and optimization.

[0032] The grid-side data covers distribution network operating status, equipment status monitoring and smart grid data. It uses big data analysis technology to conduct in-depth mining of grid operation data, optimize grid dispatch and operation and maintenance, apply machine learning algorithms to predict grid failures, and take measures in advance to reduce the risk of power outages.

[0033] The load-side data covers user electricity usage behavior, demand response data, and user preferences and feedback. Data analysis tools are used to analyze user electricity usage habits, develop personalized energy management plans, and combine demand response mechanisms to encourage users to adjust their electricity usage behavior and achieve load balance.

[0034] Storage-side data covers the status of energy storage facilities and energy storage efficiency and cost. It monitors the status of energy storage facilities in real time to ensure safe and efficient operation. Data analysis models evaluate the economic benefits of energy storage and provide a basis for investment decisions.

[0035] Basic common data cover general technical standards and specifications, basic theoretical research, technological innovation and patents. By establishing a knowledge base and database, organizing and storing basic common data, and conducting cross-field cooperation, we will promote the application of basic common technologies in energy systems.

[0036] Comprehensive management strategy, establish a unified data management platform, and realize the integration and sharing of source, network, load, storage and basic common data; Ensure data security and privacy protection, formulate strict data security management system, and ensure data security and user privacy protection during collection, transmission, storage and use; As well as standardization and regularization, promote the formulation and implementation of data standards in the energy industry and improve the quality and availability of data; And continuously update and optimize, according to the development of energy systems and technological progress, constantly update and optimize the strategies and methods of data collection, analysis and management.

[0037] Figure 2 A power system technology visualization display system based on a knowledge graph is provided in an embodiment of the present invention, and the system includes: Data collection and preprocessing module, which is responsible for automatically collecting data on scientific and technological resources, industrial resources and human resources from various data sources. The data is cleaned, sorted and standardized to remove redundant and erroneous information, unify the data format and structure, and prepare high-quality input data for subsequent processing; the output of this module is a structured and standardized data set, which serves as the basis for database construction; Database construction and management module: This module designs a database based on a tree structure to store and manage technology node information and hierarchical relationships. It supports multi-level technology classification and assigns a unique identifier to each node to ensure data integrity, consistency, and efficient query. This module receives input data from the data acquisition and preprocessing module and provides data support for the atlas drawing module. Graph structure design and drawing module, which is responsible for the logical design and visual display of the technology graph. It designs a reasonable node layout and hierarchical relationship display scheme based on the structural information in the database, and uses front-end technology to generate a dynamic and interactive graph interface. This module receives technology nodes and structural data from the database module, and outputs a visual graph that is intuitive and easy to understand for users. It supports functions such as folding, expanding, searching and highlighting nodes. User interaction and data update module: This module focuses on user experience and data timeliness, and implements retrieval, dynamic update and interactive control of technology maps. Users can quickly locate technology nodes through the search box. The system updates technology, industry and talent resource information in real time according to user needs. Modules interact through API interfaces to ensure that user requests can trigger corresponding data retrieval, processing and display actions, maintaining the freshness and interactivity of system information; Based on the graph structure design and drawing module and the user interaction and data update module, the Technology Graph Center simultaneously displays a panoramic analysis of the three major resources of science and technology, industry, and talent, and has comprehensive information integration capabilities that go beyond simple technology classification display.

[0038] The interface display and control module is responsible for designing and implementing a friendly and efficient user interface. It distinguishes nodes of different levels and technical fields through visual elements such as color coding and size changes, receives user input instructions, and feeds back to the map drawing module and data update module to achieve seamless connection between user intentions and system responses.

[0039] Furthermore, the interface display and control module integrates the map drawing and interaction functions to ensure that users can easily browse the map, understand the technical structure, and obtain detailed information.

[0040] Although embodiments of the present invention have been shown and described, it will be appreciated by those skilled in the art that various changes, modifications, substitutions and variations may be made to the embodiments without departing from the principles and spirit of the present invention, and that the scope of the present invention is defined by the appended claims and their equivalents.

Claims

1. A method for visualizing power system technology based on knowledge graph, characterized in that: The method comprises the following steps: S1, data preprocessing stage: 1) Data collection strategy: first, form an interdisciplinary team and clarify the data collection standards and scope; 2) Develop automated scripts to remove duplicates, missing values, detect and remove outliers from the collected data, use regular expressions to clean invalid characters to ensure data purity, and apply natural language processing technology to identify and correct semantic errors and contradictory information in the data; 3) Data integration and standardization: build data mapping tables, unify field names, measurement units and time formats of data from different sources, use ETL tools to complete data integration through extraction, conversion and loading, and use NLP technology for semantic analysis and structural conversion of unstructured data; S2, database construction stage: 1) Database architecture design: Based on NoSQL databases, such as MongoDB, a flexible tree structure model is designed to ensure high performance and scalability. The root node is defined as "new power system", which has five first-level classification nodes. Each node is further subdivided into six levels of technical classification, and each level of node is equipped with detailed metadata description; 2) Hierarchical relationship management: develop algorithms to automatically identify and establish parent-child relationships between nodes, while supporting manual adjustments to optimize the logic and intuitiveness of the tree structure. Set a unique ID for each node in the database and maintain a relationship index to facilitate fast query and traversal; S3, Structural design stage: 1) Refine the tree structure. Use visualization tools to initially build a rough sketch of the technology map. Collaborate with domain experts to repeatedly adjust the attribution and hierarchy of each technology node to ensure that the structure is scientific and reasonable. Use a top-down design approach to gradually refine from macro to micro. 2) Node attribute definition: define key attributes for each node, such as technology maturity, application scope, research popularity, etc. These attributes will be used for the visual representation and screening functions of the graph; S4, Data Integration Phase: 1) Data import and verification: develop a data import module to batch import cleaned and standardized data into the database according to preset mapping rules, implement a data verification mechanism, automatically compare the consistency of data before and after import, and promptly detect and repair import errors; 2) Data integrity monitoring: deploy data integrity check scripts, run them periodically, monitor data updates, and ensure data freshness and integrity; S5. Interface design and development: 1) UI / UX design follows the humanized design principles and designs a simple and intuitive user interface, including key elements such as the technical map overview, search bar, filter, node details page, etc., using responsive design to ensure good display on different devices; 2) Interactive function implementation: the front-end uses Vue.js or React framework, combined with graphics libraries such as D3.js, to implement functions such as dynamic loading of graphs, node dragging, folding and expanding, click highlighting, and search positioning, optimize interactive logic, and improve user experience; S6. Spectrum drawing and optimization: 1) Graph rendering engine: Develop a custom rendering engine to dynamically generate technology graphs based on the hierarchical relationships and node attributes in the database; 2) Visual optimization: according to the node attributes, color coding, size change and other visual elements are applied to make the map both beautiful and rich in information; S7: System interaction and function improvement: 1) Intelligent retrieval system: integrated full-text retrieval engine, supports keywords, fuzzy matching and advanced search, quickly locates technical nodes, provides recommendation system, and pushes relevant technical information based on user behavior and preferences; 2) Dynamic update mechanism: Establish a data update plan and notification system. When the database receives new data or has major updates, it will automatically trigger a local or global refresh of the map and inform users via email or on-site notifications.

2. According to claim 1, a method for visualizing power system technology based on knowledge graph, characterized in that: The data collection strategy collects scientific and technological resources, industry trends and talent information related to new power systems from sources such as global scientific research institutions, leading companies, industry reports, academic journals and professional talent databases through API interfaces, web crawlers, public databases and sharing by cooperative institutions.

3. The method for visualizing power system technology based on knowledge graph according to claim 1 is characterized in that: The data collection strategy must also ensure coverage of all-round data such as the source side (energy generation), grid side (power transmission and distribution), load side (user-side demand management), storage side (energy storage) and basic commonalities (general technology and theory).

4. The method for visualizing power system technology based on knowledge graph according to claim 1 is characterized in that: The graph rendering engine adopts layered rendering technology, giving priority to displaying the first and second level nodes, and the low-level nodes can be expanded as needed to reduce the initial loading burden.

5. The method for visualizing power system technology based on knowledge graph according to claim 1 is characterized in that: The system interaction and function improvement also include: 3) User feedback loop: establish user feedback channels, continuously collect user opinions, perform function iterations and performance optimization, and form a closed-loop continuous improvement mechanism.

6. A knowledge graph-based power system technology visualization display system, characterized in that: include: Data collection and preprocessing module, which is responsible for automatically collecting data on scientific and technological resources, industrial resources and human resources from various data sources. The data is cleaned, sorted and standardized to remove redundant and erroneous information, unify the data format and structure, and prepare high-quality input data for subsequent processing; the output of this module is a structured and standardized data set, which serves as the basis for database construction; Database construction and management module, which designs the database based on a tree structure and is used to store and manage technology node information and hierarchical relationships. It supports multi-level technology classification and assigns a unique identifier to each node to ensure data integrity, consistency and efficient query; This module receives input data from the data acquisition and preprocessing module and provides data support for the atlas drawing module; The graph structure design and drawing module is responsible for the logical design and visual display of the technology graph. It designs a reasonable node layout and hierarchical relationship display scheme based on the structural information in the database, and uses front-end technology to generate a dynamic and interactive graph interface. This module receives technical nodes and structural data from the database module, and outputs them as visual maps that are intuitive and easy for users to understand. It supports functions such as folding, expanding, searching, and highlighting nodes. User interaction and data update module: This module focuses on user experience and data timeliness, and implements retrieval, dynamic update and interactive control of technology maps. Users can quickly locate technology nodes through the search box. The system updates technology, industry and talent resource information in real time according to user needs. Modules interact through API interfaces to ensure that user requests can trigger corresponding data retrieval, processing and display actions, maintaining the freshness and interactivity of system information; The interface display and control module is responsible for designing and implementing a friendly and efficient user interface. It distinguishes nodes of different levels and technical fields through visual elements such as color coding and size changes, receives user input instructions, and feeds back to the map drawing module and data update module to achieve seamless connection between user intentions and system responses.

7. The power system technology visualization display system based on knowledge graph according to claim 6 is characterized by: The interface display and control module integrates map drawing and interaction functions to ensure that users can easily browse the map, understand the technical structure, and obtain detailed information.

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