Power distribution network planning graph visibility optimization method

Abstract

The invention relates to the field of power distribution network graph optimization, in particular to a power distribution network planning graph visibility optimization method, which comprises a layered architecture module, a technical module, a data integration module, a data processing module, a data evaluation module, a visualization algorithm module and a user interaction module. The layered architecture module is divided into a presentation layer, a control layer, a business logic layer and a data access layer through a modern software system; the presentation layer is responsible for interacting with a user and providing a user interface; the control layer is used for processing user input, the processing speed and the response time of the system can be effectively improved and the maintenance cost can be effectively reduced by setting the modules to be mutually connected for use and improving the system performance and architecture, and the maintenance cost of the system is reduced and the availability of the system is enhanced through modular design and automatic deployment. The stability and reliability of the system are improved, uninterrupted operation of key services is ensured, technical innovation is promoted, and a theoretical basis and practical guidance are provided for technical innovation in related fields.

Description

Technical Field

[0001] The present invention relates to the field of distribution network graphic optimization, and specifically to a method for optimizing the visibility of distribution network planning graphics. Background Art

[0002] Today, with the rapid development of information technology, computer systems have become an important infrastructure to support social operation. With the continuous progress of technologies such as big data, cloud computing, and artificial intelligence, the complexity of the system is increasing day by day, and the requirements for system design are also constantly improving.

[0003] Currently, many organizations and enterprises are facing problems such as poor system scalability, high maintenance costs, and low data processing efficiency. Traditional system architectures often struggle to adapt to the rapidly changing market demands and technological developments. As the scale of the system expands, complexity management becomes a challenge. In distributed systems, ensuring data consistency is a difficult problem, and system security is a key issue in system architecture design, which requires effective measures to be taken for guarantee. Therefore, it is necessary to propose a method for optimizing the visibility of distribution network planning graphics. Summary of the Invention

[0004] In view of the problems in the prior art, the present invention provides a method for optimizing the visibility of distribution network planning graphics, which can improve system performance by setting up various modules to be interconnected and used. The architecture can effectively improve the processing speed and response time of the system, reduce maintenance costs, and enhance system availability, stability, and reliability through modular design and automated deployment, ensuring the uninterrupted operation of critical services.

[0005] The technical solution adopted by the present invention to solve its technical problems is: a method for optimizing the visibility of distribution network planning graphics, including a layered architecture module, a technology module, a data integration module, a data processing module, a data evaluation module, a visualization algorithm module, and a user interaction module;

[0006] The layered architecture module is divided into a presentation layer, a control layer, a business logic layer, and a data access layer through a modern software system;

[0007] The presentation layer is responsible for interacting with users and providing a user interface;

[0008] The control layer is used to process user input and coordinate the interaction between the model and the view;

[0009] The business logic layer implements the core business logic of the system;

[0010] The data access layer is responsible for data persistence operations and interacts with the database;

[0011] Common front - end frameworks: such as React, Vue.js, Angular, are used to build dynamic and responsive user interfaces; back - end frameworks: such as Spring Boot, Django, Flask, are used to implement business logic and data processing; databases: such as MySQL, PostgreSQL, MongoDB, are used for data storage and management;

[0012] The microservices architecture is a method of decomposing an application into a series of independent and scalable services. Each service implements a specific business function and communicates through APIs. This architecture improves the maintainability and scalability of the system.

[0013] The technical modules are the core components for the system to implement specific functions, including user authentication and authorization module, database management module, real - time communication module, and file storage and processing module;

[0014] The user authentication and authorization module ensures that only legitimate users can access system resources. It usually includes functions such as user registration, login, password recovery, etc., as well as role - based access control;

[0015] The database management module is responsible for data storage, retrieval, update, and deletion operations, and needs to ensure data consistency, integrity, and security;

[0016] The real - time communication module allows users in the system to communicate instantaneously, usually implemented based on WebSocket or similar protocols, and supports message pushing and event notifications.

[0017] The file storage and processing module is responsible for managing user - uploaded files, including pictures, videos, documents, etc., and needs to support file storage, retrieval, and conversion.

[0018] The data integration module is the key to ensuring the efficient operation of the system, including data collection, data cleaning, data transformation, data storage, and data integration;

[0019] Data collection is the process by which the system obtains raw data, achieved through various means such as API calls, database queries, and log analysis;

[0020] Data cleaning is the process of removing errors, duplicates, and inconsistencies in data to ensure data quality and accuracy;

[0021] Data transformation is the process of converting raw data into the format required by the system, including data type conversion and data formatting;

[0022] Data storage is the process of persisting the processed data into a database or other storage media, and needs to ensure data security and reliability;

[0023] The data integration is a process of merging data from different sources into a unified view, which is achieved through technologies such as data mapping and data synchronization.

[0024] The data analysis is a process of extracting valuable information from the processed data, and various data analysis tools and technologies can be used, such as machine learning and data mining;

[0025] During the implementation process, it is necessary to flexibly adjust and optimize the design framework according to the requirements of specific projects to ensure the successful implementation of the projects.

[0026] The data processing module is an important step to ensure data quality and analysis accuracy, including a data source and type module and a data cleaning and integration module. The data source and type module includes data origin and data type; the data origin includes:

[0027] Internal database: Data generated by the internal business systems of enterprises or organizations;

[0028] External API: Data obtained through the API interfaces provided by third-party services;

[0029] Public data sets: Data sets publicly released by governments, research institutions or open-source projects;

[0030] Web crawlers: Data crawled from the Internet;

[0031] The data type includes:

[0032] Structured data: Data with a fixed format and type, such as tabular data in a database;

[0033] Unstructured data: Data without a fixed format and type, such as text, pictures, and videos;

[0034] Semi-structured data: Intermediate between structured and unstructured data, such as XML and JSON;

[0035] The data cleaning and integration module includes data cleaning and data integration, and data cleaning and integration are key steps to improve data quality and usability;

[0036] The data cleaning includes:

[0037] Missing value handling: Filling or deleting missing data values;

[0038] Outlier handling: Identifying and handling outliers or extreme points in the data;

[0039] Duplicate data removal: Identifying and deleting duplicate records;

[0040] Data standardization: Converting data into a unified format or range;

[0041] Data validation: Ensuring that data conforms to predefined rules and standards;

[0042] The data integration involves the following steps:

[0043] Data matching: Identifying records of the same entity in different data sources;

[0044] Data merging: Merging the matching records into a single record;

[0045] Data transformation: Converting data in different formats into a unified format;

[0046] Data normalization: Eliminating redundant and duplicate information in the data.

[0047] After the data preprocessing is completed, it is necessary to evaluate the results to ensure the quality of the data and the accuracy of the analysis, including a quality assessment module and an effectiveness assessment module;

[0048] The quality assessment includes: Data accuracy: Verifying whether the data is true, accurate, and error-free;

[0049] Data integrity: Checking whether the data is complete, without missing values or duplicate records;

[0050] Data consistency: Ensuring that the data remains consistent across different data sources and datasets;

[0051] The effectiveness assessment includes: Model performance: Evaluating the impact of data preprocessing on subsequent data analysis or modeling, such as model accuracy and recall rate;

[0052] System performance: Evaluating the impact of data preprocessing on system performance, such as processing speed and resource consumption;

[0053] Through the above steps of data processing and preprocessing, the quality of the data and the reliability of the analysis results can be ensured. The selection of data cleaning and integration methods should be based on the characteristics of the data and the analysis requirements, while the evaluation of the data preprocessing results is an important means to verify the effectiveness of data processing. At each stage of data preprocessing, careful and professional operations are required to ensure that the final data can meet the purpose and requirements of the analysis.

[0054] In the field of data visualization, for the visualization algorithm module, choosing appropriate visualization algorithms and implementation details is crucial for enhancing the user experience and data analysis efficiency;

[0055] The visualization algorithms include graph-based algorithms, map-based algorithms, text-based algorithms, and network-based algorithms;

[0056] The graph-based algorithm uses graph elements to represent data, such as scatter plots, line charts, and bar charts;

[0057] The map-based algorithm maps data onto the geographical space, such as heat maps and map markers;

[0058] The text-based algorithm uses text elements to represent data, such as word clouds and text trees;

[0059] The network-based algorithm uses network structures to represent data, such as social network graphs and knowledge graphs;

[0060] The implementation details of the algorithm are the key to ensuring the visualization effect, including data mapping, layout algorithms, interaction design, and rendering algorithms;

[0061] The data mapping is the process of mapping data attributes to visualization elements, mapping data values to colors, sizes, and positions;

[0062] The layout algorithm is used to determine the positions of visualization elements in space, such as force-directed layout and hierarchical layout;

[0063] The interaction design allows users to interact with the visualization, such as zooming, dragging, and filtering;

[0064] The rendering technology is used to render visualization elements onto the screen, such as SVG, Canvas, and WebGL;

[0065] The evaluation of algorithm performance is an important means to ensure the effectiveness of visualization algorithms, including visualization effects, interaction performance, and system performance;

[0066] The evaluation of visualization effects includes the following aspects:

[0067] Clarity: Evaluate whether the visualization is clear and easy to understand;

[0068] Aesthetics: Evaluate whether the visualization is beautiful and generous;

[0069] Information content: Evaluate whether the visualization can effectively convey information;

[0070] The evaluation of interaction performance includes the following aspects:

[0071] Response time: Evaluate the response time after user operations;

[0072] Smoothness: Evaluate the smoothness of interaction operations;

[0073] Ease of use: Evaluate the ease of use of the interaction design;

[0074] The evaluation of system performance includes the following aspects:

[0075] Rendering speed: Evaluate the speed of visual rendering;

[0076] Resource consumption: Evaluate the resource consumption of visualization on the system;

[0077] Scalability: Evaluate the scalability of the visualization algorithm;

[0078] Through the above visualization algorithms and implementations, it is possible to better understand how to select appropriate visualization algorithms, implementation details, and performance evaluation. In the process of selecting and implementing visualization algorithms, it is necessary to fully consider the characteristics of the data, analysis objectives, and user needs to ensure the visualization effect and user experience. At the same time, evaluating the performance of visualization algorithms can ensure the effectiveness and practicality of the algorithms. At each stage of data visualization, careful and professional operations are required to ensure that the final visualization can meet the analysis purposes and needs.

[0079] The user interaction module, user interaction, and interface design are crucial links in software system development, which directly affect the user experience and system usability, including user interface design principles, interactive function design, and interface prototype design and evaluation;

[0080] User interface design principles are the basic guidelines for guiding interface design to ensure that the interface is friendly, easy to use, and efficient. Intuitiveness: The interface design should be intuitive and easy to understand, and users can quickly understand the functions and operation methods of interface elements;

[0081] Consistency: The interface design should maintain consistency, including consistency in visual style, operation logic, and interaction methods;

[0082] Simplicity: The interface design should be simple and clear, avoiding unnecessary elements and complex operation processes;

[0083] Accessibility: The interface design should consider the needs of different users, such as visually impaired, hearing impaired, etc., and provide auxiliary functions;

[0084] Interactive function design is the key to ensuring that users can effectively interact with the system;

[0085] Interaction methods include clicking, dragging, swiping, double-clicking, and should be designed according to user habits and operation scenarios;

[0086] Interaction feedback is the response given by the system after the user's operation, such as prompt messages, animation effects, etc., and should be clear and timely;

[0087] The interaction process should be simple and clear, avoiding confusion and misunderstanding of users during use.

[0088] Interface prototype design is an important step in user interface design. It can help designers and developers better understand user needs and evaluate the feasibility of design solutions;

[0089] Prototype design can be carried out using methods such as pen and paper, software tools, etc., and should include interface layout, interactive elements, and functional modules;

[0090] Evaluation methods include user testing, expert review, questionnaire surveys, etc., and should be evaluated from aspects such as user needs, usability, and aesthetics;

[0091] Through the above discussion of user interaction and interface design, we can better understand how to design user interfaces, interactive functions, and interface prototypes, and conduct evaluations. In the process of user interaction and interface design, it is necessary to fully consider user needs, usability, and aesthetics to ensure that users can interact effectively with the system. At the same time, evaluating the interface prototype can ensure the feasibility and effectiveness of the design solution. At each stage of user interaction and interface design, careful and professional operations are required to ensure that the final user interface can meet the needs and expectations of users.

[0092] The usage method of a method for optimizing the graphical visibility of distribution network planning includes the following steps:

[0093] S1: System integration and testing is a key link in the software development process. It ensures that each module can work together and meet the predetermined function and quality requirements. Determine the integration strategy, including the integration sequence, integration tools, and integration environment; build the integration environment, including infrastructure such as hardware, software, and networks, and gradually integrate each module into the system according to the integration strategy and conduct testing. Conduct comprehensive testing on the integrated system, including functional testing, performance testing, and security testing. After the testing passes, deploy the system to the production environment and go live;

[0094] S2: Testing methods:

[0095] Unit testing: Test a single module to ensure its correct function;

[0096] Integration testing: Test the integrated system to ensure that each module works together;

[0097] System testing: Test the entire system to ensure that it meets the predetermined function and quality requirements;

[0098] Performance testing: Test the performance indicators of the system, such as response time and throughput;

[0099] Security testing: Test the security of the system, such as vulnerability scanning and intrusion detection;

[0100] Testing tools

[0101] Unit testing tools: JUnit, NUnit, etc., used for writing and executing unit tests;

[0102] Integration testing tools: Selenium, JMeter, etc., used for automated integration testing;

[0103] Performance testing tools: LoadRunner, Gatling, etc., used for simulating system performance under high-load environments;

[0104] Security testing tools: OWASP ZAP, Nessus, etc., used for detecting system security vulnerabilities;

[0105] S3: Test result analysis is an important means to evaluate system quality. Collect data generated during the testing process, such as test cases, test results, and performance metrics. Conduct statistical analysis on the collected data, such as defect rate, test coverage, performance metrics, etc. Based on the test results, locate problems existing in the system, such as defects and performance bottlenecks. According to the problem location, formulate improvement measures, such as fixing defects and optimizing performance.

[0106] Advantages of the present invention:

[0107] A method for optimizing the graphical visibility of a distribution network planning according to the present invention can improve system performance by setting up each module to be interconnected and used. The architecture can effectively improve the processing speed and response time of the system, reduce the maintenance cost. Through modular design and automated deployment, the maintenance cost of the system is reduced, the system availability is enhanced, the stability and reliability of the system are improved, ensuring the uninterrupted operation of critical services, promoting technological innovation, and providing a theoretical basis and practical guidance for technological innovation in related fields. Detailed implementation manners

[0108] In order to make the technical means, creative features, achieved purposes, and functions of the present invention easy to understand, the present invention will be further described below in conjunction with specific implementation manners.

[0109] A method for optimizing the graphical visibility of a distribution network planning, including a hierarchical architecture module, a technology module, a data integration module, a data processing module, a data evaluation module, a visualization algorithm module, and a user interaction module; the hierarchical architecture module is divided into a presentation layer, a control layer, a business logic layer, and a data access layer through a modern software system; the presentation layer is responsible for interacting with users and providing a user interface; the control layer is used to process user input and coordinate the interaction between the model and the view; the business logic layer implements the core business logic of the system; the data access layer is responsible for the persistent operation of data and interacts with the database; common front-end frameworks: such as React, Vue.js, Angular, are used to build dynamic and responsive user interfaces; back-end frameworks: such as Spring Boot, Django, Flask, are used to implement business logic and data processing; databases: such as MySQL, PostgreSQL, MongoDB, are used for data storage and management; the microservice architecture is a method of decomposing an application into a series of independent and scalable services, each service implements a specific business function and communicates through APIs, and this architecture improves the maintainability and scalability of the system.

[0110] The technology module is the core component for the system to implement specific functions, including a user authentication and authorization module, a database management module, a real-time communication module, and a file storage and processing module; the user authentication and authorization module ensures that only legitimate users can access system resources, usually including functions such as user registration, login, password recovery, etc., and role-based access control; the database management module is responsible for data storage, retrieval, update, and deletion operations, and needs to ensure data consistency, integrity, and security;

[0111] The real-time communication module allows users in the system to communicate instantaneously, usually implemented based on WebSocket or similar protocols, and supports message pushing and event notifications; the file storage and processing module is responsible for managing files uploaded by users, including pictures, videos, documents, etc., and needs to support file storage, retrieval, and conversion.

[0112] The data integration module is the key to ensuring the efficient operation of the system, including data collection, data cleaning, data transformation, data storage, and data integration. Data collection is the process by which the system obtains raw data, achieved through various means such as API calls, database queries, and log analysis. Data cleaning is the process of removing errors, duplicates, and inconsistencies in the data to ensure data quality and accuracy. Data transformation is the process of converting raw data into the format required by the system, including data type conversion and data formatting. Data storage is the process of persisting the processed data to a database or other storage medium, and it is necessary to ensure data security and reliability. Data integration is the process of merging data from different sources into a unified view, achieved through technologies such as data mapping and data synchronization.

[0113] The data analysis is the process of extracting valuable information from the processed data, and various data analysis tools and techniques can be used, such as machine learning and data mining. During the implementation process, it is necessary to flexibly adjust and optimize the design framework according to the requirements of specific projects to ensure the successful implementation of the project.

[0114] The data processing module is an important step in ensuring data quality and analysis accuracy, including the data source and type module and the data cleaning and integration module. The data source and type module includes data origin and data type. The data origin includes: internal database: data generated by the internal business systems of enterprises or organizations; external API: data obtained through API interfaces provided by third-party services; public datasets: datasets publicly released by governments, research institutions, or open-source projects; web crawlers: data crawled from the Internet.

[0115] The data type includes: structured data: data with a fixed format and type, such as tabular data in a database; unstructured data: data without a fixed format and type, such as text, pictures, and videos; semi-structured data: data between structured and unstructured data, such as XML and JSON.

[0116] The data cleaning and integration module includes data cleaning and data integration. Data cleaning and integration are key steps in improving data quality and usability.

[0117] The data cleaning includes:

[0118] Missing value handling: filling or deleting missing data values;

[0119] Outlier handling: identifying and handling outliers or extreme points in the data;

[0120] Duplicate data removal: identifying and deleting duplicate records;

[0121] Data standardization: Converting data into a unified format or range;

[0122] Data validation: Ensuring that data complies with predefined rules and standards;

[0123] The data integration involves the following steps:

[0124] Data matching: Identifying records of the same entity in different data sources;

[0125] Data merging: Merging the matching records into a single record;

[0126] Data transformation: Converting data in different formats into a unified format;

[0127] Data normalization: Eliminating redundant and duplicate information in the data.

[0128] After the above data preprocessing is completed, it is necessary to evaluate the results to ensure the quality of the data and the accuracy of the analysis, including a quality assessment module and an effectiveness assessment module;

[0129] The quality assessment includes: Data accuracy: Verifying whether the data is true, accurate, and error-free;

[0130] Data integrity: Checking whether the data is complete, without missing values or duplicate records;

[0131] Data consistency: Ensuring that the data remains consistent across different data sources and datasets;

[0132] The effectiveness assessment includes: Model performance: Evaluating the impact of data preprocessing on subsequent data analysis or modeling, such as model accuracy and recall rate;

[0133] System performance: Evaluating the impact of data preprocessing on system performance, such as processing speed and resource consumption;

[0134] Through the above steps of data processing and preprocessing, the quality of the data and the reliability of the analysis results can be ensured. The selection of data cleaning and integration methods should be based on the characteristics of the data and the analysis requirements, while the evaluation of the data preprocessing results is an important means to verify the data processing effect. At each stage of data preprocessing, careful and professional operations are required to ensure that the final data can meet the purposes and requirements of the analysis.

[0135] In the field of data visualization, the selection of appropriate visualization algorithms and implementation details is crucial for enhancing the user experience and data analysis efficiency;

[0136] The visualization algorithms include graph-based algorithms, map-based algorithms, text-based algorithms, and network-based algorithms;

[0137] The graph-based algorithms use graph elements to represent data, such as scatter plots, line charts, and bar charts;

[0138] The map-based algorithms map data onto the geographical space, such as heat maps and map markers;

[0139] The text-based algorithms use text elements to represent data, such as word clouds and text trees;

[0140] The network-based algorithms use network structures to represent data, such as social network graphs and knowledge graphs;

[0141] The algorithm implementation details are crucial for ensuring the visualization effect, including data mapping, layout algorithms, interaction design, and rendering algorithms;

[0142] The data mapping is the process of mapping data attributes to visualization elements, mapping data values to colors, sizes, and positions;

[0143] The layout algorithms are used to determine the positions of visualization elements in space, such as force-directed layouts and hierarchical layouts;

[0144] The interaction design allows users to interact with the visualization, such as zooming, dragging, and filtering;

[0145] The rendering techniques are used to render visualization elements onto the screen, such as SVG, Canvas, and WebGL;

[0146] The algorithm performance evaluation is an important means to ensure the effectiveness of visualization algorithms, including visualization effects, interaction performance, and system performance;

[0147] The visualization effect evaluation includes the following aspects:

[0148] Clarity: Evaluate whether the visualization is clear and easy to understand;

[0149] Aesthetics: Evaluate whether the visualization is beautiful and generous;

[0150] Information content: Evaluate whether the visualization can effectively convey information;

[0151] The interaction performance evaluation includes the following aspects:

[0152] Response time: Evaluate the response time after user operations;

[0153] Smoothness: Evaluate the smoothness of interaction operations;

[0154] Usability: Evaluate the usability of the interaction design;

[0155] The system performance evaluation includes the following aspects:

[0156] Rendering speed: Evaluate the speed of visual rendering;

[0157] Resource consumption: Evaluate the resource consumption of visualization on the system;

[0158] Scalability: Evaluate the scalability of the visualization algorithm;

[0159] Through the above visualization algorithms and implementations, it is possible to better understand how to select appropriate visualization algorithms, implementation details, and performance evaluation. In the process of selecting and implementing visualization algorithms, it is necessary to fully consider the characteristics of the data, analysis objectives, and user needs to ensure the visualization effect and user experience. At the same time, evaluating the performance of visualization algorithms can ensure the effectiveness and practicality of the algorithms. At each stage of data visualization, careful and professional operations are required to ensure that the final visualization can meet the analysis purposes and needs.

[0160] The user interaction module, user interaction, and interface design are crucial links in software system development, which directly affect the user experience and system usability, including user interface design principles, interactive function design, and interface prototype design and evaluation;

[0161] User interface design principles are the basic guidelines for guiding interface design to ensure that the interface is friendly, easy to use, and efficient. Intuitiveness: The interface design should be intuitive and easy to understand, and users can quickly understand the functions and operation methods of interface elements;

[0162] Consistency: The interface design should maintain consistency, including consistency in visual style, operation logic, and interaction methods;

[0163] Simplicity: The interface design should be simple and clear, avoiding unnecessary elements and complex operation processes;

[0164] Accessibility: The interface design should consider the needs of different users, such as visually impaired, hearing impaired, etc., and provide auxiliary functions;

[0165] Interactive function design is the key to ensuring that users can interact effectively with the system;

[0166] Interaction methods include clicking, dragging, swiping, double-clicking, and should be designed according to user habits and operation scenarios;

[0167] Interaction feedback is the response given by the system after user operations, such as prompt messages, animation effects, etc., and should be clear and timely;

[0168] The interaction process should be simple and clear to avoid confusion and misunderstanding by users during use.

[0169] Interface prototype design is an important step in user interface design. It can help designers and developers better understand user needs and evaluate the feasibility of design solutions;

[0170] Prototyping can be carried out using methods such as pen and paper, software tools, etc., and should include interface layout, interactive elements, and functional modules;

[0171] Evaluation methods include user testing, expert review, questionnaire surveys, etc., and should be evaluated from aspects such as user needs, usability, and aesthetics;

[0172] Through the above discussion of user interaction and interface design, we can better understand how to design user interfaces, interactive functions, and interface prototypes, and conduct evaluations. In the process of user interaction and interface design, it is necessary to fully consider user needs, usability, and aesthetics to ensure that users can effectively interact with the system. At the same time, evaluating the interface prototype can ensure the feasibility and effectiveness of the design solution. At each stage of user interaction and interface design, careful and professional operations are required to ensure that the final user interface can meet the needs and expectations of users.

[0173] A method for using an optimization method for the graphical visibility of distribution network planning includes the following steps:

[0174] S1: System integration and testing is a key link in the software development process. It ensures that each module can work together and meet the predetermined function and quality requirements. Determine the integration strategy, including the integration sequence, integration tools, and integration environment; Build the integration environment, including infrastructure such as hardware, software, and network, and gradually integrate each module into the system according to the integration strategy and conduct tests. Conduct comprehensive tests on the integrated system, including functional tests, performance tests, and security tests. After passing the tests, deploy the system to the production environment and go live;

[0175] S2: Testing methods:

[0176] Unit testing: Test a single module to ensure its correct function;

[0177] Integration testing: Test the integrated system to ensure that each module works together;

[0178] System testing: Test the entire system to ensure that it meets the predetermined function and quality requirements;

[0179] Performance testing: Test the performance indicators of the system, such as response time and throughput;

[0180] Security testing: Test the security of the system, such as vulnerability scanning and intrusion detection;

[0181] Testing tools

[0182] Unit testing tools: JUnit, NUnit, etc., used for writing and executing unit tests;

[0183] Integration testing tools: Selenium, JMeter, etc., used for automated integration testing;

[0184] Performance testing tools: LoadRunner, Gatling, etc., used for simulating system performance in high-load environments;

[0185] Security testing tools: OWASP ZAP, Nessus, etc., used for detecting system security vulnerabilities;

[0186] S3: Test result analysis is an important means to evaluate system quality. Collect data generated during the testing process, such as test cases, test results, and performance metrics, and perform statistical analysis on the collected data, such as defect rate, test coverage, performance metrics, etc. Based on the test results, locate problems existing in the system, such as defects and performance bottlenecks, and formulate improvement measures according to the problem location, such as fixing defects and optimizing performance

[0187] The above shows and describes the basic principles, main features, and advantages of the present invention. Those skilled in the art should understand that the present invention is not limited by the above embodiments. The above embodiments and the descriptions in the specification only illustrate the principles of the present invention. Without departing from the spirit and scope of the present invention, the present invention will have various changes and improvements, and these changes and improvements all fall within the scope of the present invention claimed. The scope of the present invention claimed is defined by the appended claims and their equivalents.

Claims

1. A method for optimizing the graphical visibility of a distribution network planning, characterized in that: It includes the following steps: The first step: System integration and testing is a crucial part of the software development process. It ensures that all modules can work together and meet the predefined functional and quality requirements. Determine the integration strategy, including the integration sequence, integration tools, and integration environment; Set up the integration environment, including hardware, software, and network infrastructure. Gradually integrate each module into the system according to the integration strategy and conduct tests. Conduct comprehensive tests on the integrated system, including functional testing, performance testing, and security testing. After the tests pass, deploy the system to the production environment and go live; The second step: Testing methods: Unit testing: Test individual modules to ensure their correct functionality; Integration testing: Test the integrated system to ensure that all modules work together; System testing: Test the entire system to ensure that it meets the predefined functional and quality requirements; Performance testing: Test the performance metrics of the system, such as response time and throughput; Security testing: Test the security of the system, such as vulnerability scanning and intrusion detection; Testing tools Unit testing tools: JUnit, NUnit, used for writing and executing unit tests; Integration testing tools: Selenium, JMeter, used for automated integration testing; Performance testing tools: LoadRunner, Gatling, used for simulating the system performance under high load environments; Security testing tools: OWASP ZAP, Nessus, used for detecting system security vulnerabilities; The third step: Test result analysis is an important means to evaluate the system quality. Collect the data generated during the testing process, such as test cases, test results, and performance metrics. Conduct statistical analysis on the collected data, such as defect rate, test coverage, and performance metrics. According to the test results, locate the problems existing in the system, such as defects and performance bottlenecks. Based on the problem location, formulate improvement measures, such as fixing defects and optimizing performance.

2. The method for optimizing the graphic visibility of a distribution network planning according to claim 1, wherein It includes a layered architecture module, a technology module, a data integration module, a data processing module, a data evaluation module, a visualization algorithm module, and a user interaction module; The said layered architecture module is divided into a presentation layer, a control layer, a business logic layer, and a data access layer through a modern software system; The said presentation layer is responsible for interacting with users and providing a user interface; The said control layer is used to process user input and coordinate the interaction between the model and the view; The said business logic layer implements the core business logic of the system; The said data access layer is responsible for data persistence operations and interacts with the database; Common front-end frameworks: such as React, Vue.js, Angular, used for building dynamic and responsive user interfaces; Back-end frameworks: such as Spring Boot, Django, Flask, used for implementing business logic and data processing; Databases: such as MySQL, PostgreSQL, MongoDB, used for data storage and management; The microservices architecture is a method of decomposing an application into a series of independent and scalable services. Each service implements a specific business function and communicates through APIs. This architecture improves the maintainability and scalability of the system.

3. The method for optimizing the graphical visibility of a distribution network planning according to claim 1, characterized in that: The described technical module is the core component for the system to achieve specific functions, including a user authentication and authorization module, a database management module, a real-time communication module, and a file storage and processing module; The user authentication and authorization module ensures that only legitimate users can access system resources, and usually includes user registration, login, password recovery functions, as well as role-based access control; The database management module is responsible for data storage, retrieval, update, and deletion operations, and needs to ensure data consistency, integrity, and security; The real-time communication module allows users in the system to conduct instant communication, usually implemented based on WebSocket or similar protocols, and supports message push and event notification; The file storage and processing module is responsible for managing files uploaded by users, including pictures, videos, and documents, and needs to support file storage, retrieval, and conversion; 4. A method for optimizing the graphical visibility of a distribution network planning according to claim 1, characterized in that: The data integration module is the key to ensuring the efficient operation of the system, including data collection, data cleaning, data conversion, data storage, and data integration; Data collection is the process by which the system obtains raw data, achieved through various means such as API calls, database queries, and log analysis; Data cleaning is the process of removing errors, duplicates, and inconsistencies in data to ensure data quality and accuracy; Data conversion is the process of converting raw data into the format required by the system, including data type conversion and data formatting; Data storage is the process of persisting the processed data to a database or other storage medium, and needs to ensure data security and reliability; Data integration is the process of merging data from different sources into a unified view, achieved through data mapping and data synchronization technologies; Data analysis is the process of extracting valuable information from the processed data, and various data analysis tools and techniques can be used, such as machine learning and data mining; During the implementation process, it is necessary to flexibly adjust and optimize the design framework according to the requirements of specific projects to ensure the successful implementation of the project; 5. A method for optimizing the graphical visibility of a distribution network planning according to claim 1, characterized in that: The data processing module is an important step to ensure data quality and analysis accuracy, including a data source and type module and a data cleaning and integration module. The data source and type module includes data origin and data type. The data origin includes: Internal database: Data generated by the internal business systems of enterprises or organizations; External API: Data obtained through API interfaces provided by third-party services; Public datasets: Datasets publicly released by governments, research institutions, or open-source projects; Web crawlers: Data crawled from the Internet; The data type includes: Structured data: Data with a fixed format and type, such as tabular data in a database; Unstructured data: Data without a fixed format and type, such as text, pictures, and videos; Semi-structured data: Data that lies between structured and unstructured data, such as XML and JSON; The data cleaning and integration module includes data cleaning and data integration. Data cleaning and integration are key steps to improve data quality and usability; The data cleaning includes: Missing value handling: Filling or deleting missing data values; Outlier handling: Identifying and handling outliers or extreme values in the data; Duplicate data removal: Identifying and deleting duplicate records; Data standardization: Converting data into a unified format or range; Data validation: Ensuring that the data conforms to predefined rules and standards; The data integration involves the following steps: Data matching: Identifying records of the same entity in different data sources; Data merging: Merging the matching records into a single record; Data transformation: Converting data in different formats into a unified format; Data normalization: Eliminating redundant and duplicate information in the data.

6. The method for optimizing the graphical visibility of a distribution network planning according to claim 1, wherein: After the above data preprocessing is completed, it is necessary to evaluate the results to ensure the quality of the data and the accuracy of the analysis, including a quality assessment module and an effectiveness assessment module; The quality assessment includes: Data accuracy: Verifying whether the data is true, accurate, and error-free; Data integrity: Checking whether the data is complete, without missing values or duplicate records; Data consistency: Ensuring that the data remains consistent across different data sources and datasets; The effectiveness assessment includes: Model performance: Evaluating the impact of data preprocessing on subsequent data analysis or modeling, such as model accuracy and recall rate; System performance: Evaluating the impact of data preprocessing on system performance, such as processing speed and resource consumption; Through the above steps of data processing and preprocessing, the quality of the data and the reliability of the analysis results can be ensured. The selection of data cleaning and integration methods should be based on the characteristics of the data and the analysis requirements, while the evaluation of the data preprocessing results is an important means to verify the data processing effect. At each stage of data preprocessing, careful and professional operations are required to ensure that the final data can meet the purposes and requirements of the analysis.

7. A method for optimizing the graphical visibility of a distribution network planning according to claim 1, characterized in that: In the field of data visualization, choosing appropriate visualization algorithms and implementation details is crucial for enhancing the user experience and data analysis efficiency; The visualization algorithms include graph-based algorithms, map-based algorithms, text-based algorithms, and network-based algorithms; The graph-based algorithms use graphical elements to represent data, such as scatter plots, line charts, and bar charts; The map-based algorithms map the data onto the geographical space, such as heatmaps and map markers; The text-based algorithms use text elements to represent data, such as word clouds and text trees; The network-based algorithms use network structures to represent data, such as social network graphs and knowledge graphs; Algorithm implementation details are the key to ensuring the visualization effect, including data mapping, layout algorithms, interaction design, and rendering algorithms; The data mapping is the process of mapping data attributes to visualization elements, mapping data values to colors, sizes, and positions; The layout algorithms are used to determine the positions of visualization elements in space, such as force-directed layouts and hierarchical layouts; The interaction design allows users to interact with the visualization, such as zooming, dragging, and filtering; The rendering techniques are used to render visualization elements onto the screen, such as SVG, Canvas, and WebGL; The algorithm performance evaluation is an important means to ensure the effectiveness of visualization algorithms, including visualization effects, interaction performance, and system performance; The visualization effect evaluation includes the following aspects: Clarity: Evaluating whether the visualization is clear and easy to understand; Aesthetic appeal: Evaluate whether the visualization is aesthetically pleasing and generous; Information content: Evaluate whether the visualization can effectively convey information; The evaluation of the interactive performance includes the following aspects: Response time: Evaluate the response time after a user operation; Smoothness: Evaluate the smoothness of the interactive operation; Usability: Evaluate the usability of the interaction design; The evaluation of the system performance includes the following aspects: Rendering speed: Evaluate the speed of visualizing rendering; Resource consumption: Evaluate the consumption of system resources by the visualization; Scalability: Evaluate the scalability of the visualization algorithm; Through the above visualization algorithms and implementations, it is possible to better understand how to select appropriate visualization algorithms, implementation details, and performance evaluations. During the selection and implementation of visualization algorithms, it is necessary to fully consider the characteristics of the data, analysis objectives, and user needs to ensure the visualization effect and user experience. At the same time, evaluating the performance of visualization algorithms can ensure the effectiveness and practicality of the algorithms. At each stage of data visualization, careful and professional operations are required to ensure that the final visualization can meet the analysis purposes and requirements.

8. A method for optimizing the graphical visibility of a distribution network plan according to claim 1, characterized in that: The user interaction module, user interaction, and interface design are crucial links in software system development, which directly affect the user experience and system usability, including user interface design principles, interactive function design, and interface prototype design and evaluation; User interface design principles are the basic guidelines for guiding interface design to ensure that the interface is friendly, easy to use, and efficient. Intuitiveness: The interface design should be intuitive and easy to understand, enabling users to quickly understand the functions and operation methods of interface elements; Consistency: The interface design should maintain consistency, including consistency in visual style, operation logic, and interaction methods; Simplicity: The interface design should be simple and clear, avoiding unnecessary elements and complex operation processes; Accessibility: The interface design should consider the needs of different users, such as visually impaired and hearing impaired users, and provide auxiliary functions; Interactive function design is the key to ensuring that users can effectively interact with the system; Interaction methods include clicking, dragging, swiping, and double-clicking, which should be designed according to user habits and operation scenarios; Interactive feedback is the response given by the system after a user operation, such as prompt messages and animation effects, which should be clear and timely; The interaction process should be simple and clear, avoiding confusion and misunderstanding by users during use; Interface prototype design is an important step in user interface design, which can help designers and developers better understand user needs and evaluate the feasibility of design solutions; Prototype design can be carried out using pen and paper or software tools, and should include interface layout, interactive elements, and functional modules; Evaluation methods include user testing, expert review, and questionnaire surveys, which should be evaluated from aspects such as user needs, usability, and aesthetic appeal; Through the above discussion of user interaction and interface design, we can better understand how to design user interfaces, interactive functions, and interface prototypes, and conduct evaluations. During the process of user interaction and interface design, it is necessary to fully consider user needs, usability, and aesthetics to ensure that users can interact effectively with the system. At the same time, evaluating the interface prototype can ensure the feasibility and effectiveness of the design solution. In each stage of user interaction and interface design, careful and professional operations are required to ensure that the final user interface can meet the needs and expectations of users.