An intelligent party construction system based on artificial intelligence

Abstract

The application discloses an intelligent party construction system based on artificial intelligence, which comprises a data acquisition layer, an AI algorithm engine layer, a core function layer, an application terminal layer and a security guarantee layer, is theoretically guided by the 'two combinations', takes youth value shaping as a core target, takes AI technology as a core engine, constructs a five-layer architecture system of the data acquisition layer, the AI algorithm engine layer, the core function layer, the application terminal layer and the security guarantee layer, and realizes an intelligent closed loop of the whole process of party and league construction from youth data acquisition, user portrait construction, ideological dynamic analysis to accurate education content pushing, intelligent planning of joint construction activities, immersive education experience, effect quantitative evaluation and data feedback optimization. The layers are mutually coordinated and data-interconnected, adapt to the digital behavior characteristics of the youth group, and meet the individualized, accurate and intelligent needs of party and league organizations at all levels in youth party construction.

Description

Technical Field

[0001] This invention relates to the field of artificial intelligence, and in particular to a smart Party building system based on artificial intelligence. Background Technology

[0002] With the development of the digital age, artificial intelligence (AI) technology has provided technical support for the digital transformation of Party building work. Existing smart Party building systems have achieved basic functions such as online Party affairs processes and digital learning resources. However, some smart Party building platforms have attempted to integrate AI technology to achieve simple content recommendations and Q&A interactions, and some ideological and political education systems have explored the application of big data in the analysis of ideological dynamics. But none of them have built a full-process, integrated AI-enabled system to address the core needs of Party-Youth League co-construction leading the value shaping of youth under the perspective of "two combinations." In particular, they lack key technical modules such as personalized modeling, immersive education, and quantitative assessment for young people, and cannot fundamentally solve the problems of insufficient appeal and poor value shaping effect of traditional Party building models to young people. Therefore, developing a smart Party building system that adapts to the characteristics of young people, integrates multiple AI technologies, and covers the entire process of Party-Youth League co-construction has become an urgent need for digital innovation in Party building work in the new era. Summary of the Invention

[0003] The present invention aims to at least partially solve one of the technical problems in the related art.

[0004] Therefore, the purpose of this invention is to propose a smart Party building system based on artificial intelligence.

[0005] To achieve the above objectives, this invention proposes an AI-based smart Party building system, comprising a data acquisition layer, an AI algorithm engine layer, a core function layer, an application terminal layer, and a security layer. The data acquisition layer includes a structured data acquisition module, an unstructured data acquisition module, a behavioral data acquisition module, and a Party-Youth League linkage data synchronization module, enabling comprehensive, real-time, and standardized collection of relevant data from young Party members and Youth League members. Data is further improved through a data cleaning and verification sub-module. The AI ​​algorithm engine layer includes a youth user profile modeling module, an ideological dynamics analysis and early warning module, a personalized content recommendation module, an intelligent activity planning module, a value-shaping effect evaluation module, and a dedicated algorithm model library for youth Party-Youth League co-construction. The core function layer includes a youth ideological dynamics perception system, a personalized Party-Youth League education system, an immersive red education system, an intelligent Party-Youth League co-construction activity management system, a Party-Youth League integrated data management system, and a value-shaping effect quantitative evaluation system. The application terminal layer includes a computer-based management backend, a mobile APP, a WeChat mini-program, an H5 page, and a VR / AR terminal. The security layer includes a data security module, an algorithm security module, a privacy protection module, a system security module, and an operation audit module.

[0006] In addition, the AI-based smart Party building system proposed according to the present invention may also have the following additional technical features:

[0007] Specifically, the data acquisition layer's Party and Youth League linkage data synchronization module is designed with unified Party and Youth League data standards and data interfaces.

[0008] Specifically, the youth user profile modeling module of the AI ​​algorithm engine layer is based on collaborative filtering algorithm and deep learning algorithm.

[0009] Specifically, the thought dynamic analysis and early warning module of the AI ​​algorithm engine layer performs semantic analysis on youth text data based on natural language processing algorithms, and constructs a thought dynamic prediction model by combining machine learning algorithms. It sets three risk levels of low, medium and high to achieve early warning of thought risks and automatically pushes corresponding intervention strategies.

[0010] Specifically, the personalized Party and Youth League education system of the core functional layer includes a Party building knowledge graph.

[0011] Specifically, the immersive red education system of the core functional layer consists of AI generation technology and VR / AR technology, including AI-generated red content, VR / AR immersive scenes, and interactive red culture experiences.

[0012] Specifically, the intelligent Party and Youth League co-construction activity management system of the core functional layer realizes intelligent generation of activity plans based on reinforcement learning algorithm and clustering algorithm.

[0013] Specifically, the value-shaping effect quantitative evaluation system of the core functional layer takes theoretical cognition, emotional identification, behavioral practice, organizational participation, and value orientation as evaluation directions.

[0014] Specifically, the privacy protection module of the security layer requires explicit authorization from the user to use and share user information, ensuring the user's right to know and right to choose.

[0015] Specifically, the system is applicable to Party and Youth League organizations at all levels of Party and government organs, enterprises, public institutions, universities, and research institutes. The user profile model, recommendation algorithm, and evaluation index system can be customized and adjusted according to the characteristics and needs of young people in different scenarios.

[0016] Compared with the prior art, the technical solution provided by the present invention has the following beneficial effects:

[0017] 1. This invention constructs a multi-dimensional user profile model for young people to accurately mine their ideological cognition, career development, and interests. Combined with personalized content recommendation and intelligent activity planning, it pushes Party building content and activity plans that meet the needs of young people, innovates the form and content of Party building work, effectively solves the problem of the disconnect between traditional Party building and the needs of young people, enhances the attractiveness of Party building work to young people, and promotes the transformation of young people from passive participation to active integration.

[0018] 2. This invention deeply integrates AI technologies such as natural language processing, machine learning, and VR / AR with the entire process of Party and Youth League co-construction. It designs core functional modules such as ideological dynamic perception, personalized education, intelligent activity planning, and quantitative evaluation, enabling AI technology to empower the entire process of Party building work. This promotes the effective connection and synergy between AI technology and traditional Party and Youth League co-construction work, fundamentally solving the problem of "technology and Party building being two separate things," and improving the scientific nature and accuracy of Party and Youth League co-construction work.

[0019] 3. This invention achieves comprehensive and real-time perception of the ideological dynamics of young people through multi-source data acquisition and natural language processing technology, constructs an early warning model for ideological dynamics, can promptly identify the ideological confusion and potential risks of young people, and push corresponding intervention strategies and educational content, thereby achieving precise ideological guidance and risk prevention for young people and improving the effectiveness of ideological and political education for young people.

[0020] 4. This invention integrates AI generation technology and VR / AR technology to create immersive and diversified red education scenarios, generate red education content that fits the aesthetics of young people, and allow young people to experience the core connotations of red culture, excellent traditional Chinese culture and the spirit of scientists in immersive experience and interactive learning, effectively enhancing young people's cultural identity and emotional identity, and implementing the theoretical requirements of "two integrations".

[0021] 5. This invention breaks away from the traditional subjective evaluation model and constructs a multi-dimensional and quantitative evaluation system for youth value shaping based on big data analysis. It enables real-time monitoring, dynamic analysis, and scientific evaluation of the effects of Party-League co-construction, comprehensively and objectively measures the actual effect of value shaping, and automatically generates optimization suggestions for Party building work based on the evaluation results, thereby promoting the continuous optimization of Party-League co-construction work and ensuring the effectiveness of value shaping.

[0022] 6. This invention establishes an integrated data management platform for Party and Youth League building, enabling collaborative sharing and joint analysis of Party building and Youth League building data, constructing an integrated data resource library for Party and Youth League building, providing data support for the entire process of Party and Youth League joint building, promoting integrated and standardized management of Party and Youth League joint building work, and improving the synergy and efficiency of Party and Youth League joint building work.

[0023] 7. The intelligent activity planning module of this invention combines the job characteristics and industry needs of young people to design activity plans that integrate "Party building + business", promote the deep integration of Party building work with the career development, scientific research and tackling key problems and social services of young people, enable young people to make contributions in their positions, innovate in scientific research, and achieve resonance between Party building work and the all-round development of young people, and lay a solid ideological foundation for the growth and success of young people.

[0024] 8. This invention constructs a multi-level security protection system, achieving comprehensive security protection from aspects such as data security, algorithm security, privacy protection, and system security. It strictly abides by relevant laws and regulations, protects the privacy of young users and the security of Party building data, and ensures the stability, reliability, and compliance of the system, providing a guarantee for the normalized development of Party and Youth League co-construction work.

[0025] Additional aspects and advantages of the invention will be set forth in part in the description which follows, and in part will be obvious from the description, or may be learned by practice of the invention. Attached Figure Description

[0026] The above and / or additional aspects and advantages of the present invention will become apparent and readily understood from the following description of the embodiments taken in conjunction with the accompanying drawings, wherein:

[0027] Figure 1 This is a framework diagram of the intelligent Party building system based on artificial intelligence according to the present invention;

[0028] Figure 2 This is a flowchart of the data acquisition layer of the AI-based smart Party building system of the present invention;

[0029] Figure 3 This is a flowchart of the AI ​​algorithm engine layer of the intelligent Party building system based on artificial intelligence of the present invention;

[0030] Figure 4 This is a flowchart illustrating the core functional layer structure of the AI-based smart Party building system of this invention.

[0031] Figure 5 This is a flowchart illustrating the application terminal layer structure of the AI-based smart Party building system of the present invention.

[0032] Figure 6 This is a flowchart illustrating the security layer structure of the AI-based smart Party building system of this invention.

[0033] As shown in the diagram: 110. Data Acquisition Layer; 111. Structured Data Acquisition Module; 112. Unstructured Data Acquisition Module; 113. Behavioral Data Acquisition Module; 114. Party-League Linkage Data Synchronization Module; 120. AI Algorithm Engine Layer; 121. Youth User Profile Modeling Module; 122. Ideological Dynamics Analysis and Early Warning Module; 123. Personalized Content Recommendation Module; 124. Intelligent Activity Planning Module; 125. Value Shaping Effect Evaluation Module; 126. Exclusive Algorithm Model Library; 130. Core Function Layer; 131. Youth Ideological Dynamics Perception System; 132. Personalized Party-League Education System; 133. Immersive Red Education System; 134. Intelligent Party-League Co-construction Activity Management System; 135. Party-League Integrated Data Management System; 136. Value Shaping Effect Quantitative Evaluation System; 140. Application Terminal Layer; 141. PC Management Backend; 142. Mobile APP; 143. WeChat Mini Program; 144. H5 Page; 145. VR / AR Terminal; 150. Security layer; 151. Data security module; 152. Algorithm security module; 153. Privacy protection module; 154. System security module; 155. Operation auditing module. Detailed Implementation

[0034] Embodiments of the present invention are described in detail below, examples of which are illustrated in the accompanying drawings, wherein the same or similar reference numerals denote the same or similar elements or elements having the same or similar functions throughout. The embodiments described below with reference to the accompanying drawings are exemplary and intended to explain the invention, and should not be construed as limiting the invention. Rather, embodiments of the invention include all variations, modifications, and equivalents falling within the spirit and scope of the appended claims.

[0035] The following description, in conjunction with the accompanying drawings, describes an embodiment of the intelligent Party building system based on artificial intelligence.

[0036] like Figure 1 As shown, the AI-based smart Party building system of this invention may include a data acquisition layer 110, an AI algorithm engine layer, a core function layer 130, an application terminal layer 140, and a security layer 150, wherein...

[0037] The data acquisition layer 110 includes a structured data acquisition module 111, an unstructured data acquisition module 112, a behavioral data acquisition module 113, and a Party and Youth League linkage data synchronization module 114.

[0038] Structured Data Acquisition Module 111: Collects structured data such as basic information, occupational information, and organizational information of young Party and Youth League members through manual input, system integration, etc. It supports API interface integration with existing Party affairs management system, Youth League building management system, enterprise ERP system, and university academic affairs system to achieve automatic data synchronization and avoid duplicate input.

[0039] Unstructured data acquisition module 112: Employs technologies such as OCR recognition, speech-to-text conversion, and natural language processing to collect unstructured text data such as ideological reports, learning experiences, work summaries, political commentary, and forum posts from young Party and Youth League members, as well as unstructured audio and video data such as online live broadcasts, organizational activities, and themed speeches. The module standardizes the collected unstructured data and transforms it into analyzable structured data.

[0040] Behavioral data collection module 113: By tracking users' operational behavior in the system in real time, it collects behavioral data such as learning behavior, activity behavior, and interaction behavior of young Party and Youth League members. It also supports connecting to authorized data from social platforms commonly used by young people, such as WeChat, Weibo, and Douyin, to collect online opinions and hot topics of interest among young people.

[0041] Party-Youth League Linkage Data Synchronization Module 114: This module designs unified data standards and interfaces for Party and Youth League building, enabling real-time synchronization and collaborative analysis of Party building data and Youth League building data. This includes data on Youth League members recommending outstanding members for Party membership, data on Party members pairing up with and assisting Youth League members, data on joint Party-Youth League building activities, and data on the growth trajectory of young Party and Youth League members. It also constructs an integrated Party-Youth League data resource library, providing data support for the entire process of joint Party-Youth League building.

[0042] The AI ​​algorithm engine layer includes a youth user profile modeling module 121, an ideological dynamics analysis and early warning module 122, a personalized content recommendation module 123, an intelligent event planning module 124, a value shaping effect evaluation module 125, and a dedicated algorithm model library 126 for joint construction with youth party groups.

[0043] Module 121, the Youth User Profile Modeling module, constructs a multi-dimensional youth user profile model based on collaborative filtering and deep learning algorithms. It accurately models young Party and Youth League members from five dimensions: ideological cognition, career development, interest preferences, organizational participation, and cultural identity. Specifically, the ideological cognition dimension includes youth's understanding of the Party's theories, principles, and policies, their focus on current events, and their ideological confusion; the career development dimension includes youth's job requirements, research directions, career plans, and skill gaps; the interest preferences dimension includes youth's preferences for learning formats, activity formats, and content; the organizational participation dimension includes youth's frequency of participation in Party and Youth League activities, their enthusiasm for participation, and their positions held; and the cultural identity dimension includes youth's degree of identification with excellent traditional Chinese culture, revolutionary culture, and advanced socialist culture. The model supports real-time updates, dynamically optimizing the user profile based on youth's behavioral and ideological data.

[0044] The Ideological Dynamics Analysis and Early Warning Module 122: Based on natural language processing algorithms, it performs semantic analysis on text data such as youth's ideological reports, online comments, and learning experiences to identify current political hotspots, ideological confusions, and value orientations that youth are concerned about; combined with machine learning algorithms, it constructs a youth ideological dynamics prediction model to predict the trend of youth's ideological changes in real time. For potential risks such as negative comments, ideological deviations, and value confusion, it sets three risk levels of low, medium, and high to achieve early warning of ideological risks and automatically push corresponding intervention strategies and educational content.

[0045] Personalized Content Recommendation Module 123: Based on content recommendation algorithms, collaborative filtering algorithms, and knowledge graph algorithms, a personalized recommendation model integrating youth user profiles is constructed. First, a Party building knowledge graph is built under the perspective of "two combinations," covering core knowledge points such as Party history, Party theories and policies, excellent traditional Chinese culture, revolutionary culture, the spirit of scientists, and cases of Party-Youth League co-construction, enabling correlation analysis of knowledge points. Then, combining the characteristics of youth user profiles, the knowledge points in the Party building knowledge graph are precisely matched with the ideological needs, career needs, and interest preferences of young people, achieving personalized delivery of educational content. For example, cases of the spirit of scientists and stories of scientific research breakthroughs in Party history are pushed to young people in the scientific research field; Party history micro-courses and campus red culture activities are pushed to young people in universities; and cases of "Party building + production and operation" integration are pushed to young people in enterprises. The recommendation model supports real-time feedback, dynamically optimizing the recommendation strategy based on the learning behavior and learning outcomes of young people.

[0046] The Intelligent Event Planning Module 124: Based on reinforcement learning and clustering algorithms, it constructs an intelligent planning model for Party and Youth League joint activities. Combining youth user profiles, industry characteristics, job requirements, and Party building work requirements, it automatically generates event plans that integrate Party building and business. The model has multiple built-in event templates and allows users to customize event themes, formats, content, and participants according to their needs. It also uses historical event data to predict the feasibility, attractiveness, and effectiveness of event plans and generates optimization suggestions.

[0047] Module 125, Value Shaping Effectiveness Evaluation: Based on big data analysis and the Analytic Hierarchy Process (AHP), this module constructs a multi-dimensional, quantitative evaluation model for youth value shaping effectiveness. Breaking away from traditional subjective evaluation methods, it breaks down five primary indicators—theoretical cognition, emotional identification, behavioral practice, organizational participation, and value orientation—into several secondary and tertiary indicators, establishing a scientific evaluation indicator system. Through quantitative analysis of youth's learning, activity, ideological, and behavioral data, it achieves real-time monitoring, dynamic evaluation, and visualization of value shaping effectiveness, and automatically generates a report with optimization suggestions for Party building work based on the evaluation results.

[0048] The core functional layer 130 includes a youth ideological dynamics perception system 131, a personalized Party and Youth League education system 132, an immersive red education system 133, an intelligent Party and Youth League co-construction activity management system 134, a Party and Youth League integrated data management system 135, and a value shaping effect quantitative evaluation system 136.

[0049] The Youth Ideological Dynamics Perception System 131 displays the characteristics of youth ideological dynamics in real time through a large data screen, including hot topics of concern, classification of ideological confusion, distribution of emotional tendencies, and level of understanding of Party and Youth League theories. This provides data support for Party and Youth League organizations to understand the ideological status of youth. Based on the analysis results of youth ideological dynamics, it automatically generates personalized ideological interview outlines, providing precise guidance for Party and Youth League organizations to conduct heart-to-heart talks. For identified ideological risk points, it automatically sends early warning information to relevant Party and Youth League cadres according to the risk level and pushes corresponding intervention strategies and educational content. For example, for youth with insufficient understanding of Party theories, it pushes a personalized theoretical learning plan; for youth with ideological confusion, it pushes corresponding Q&A content and information on connecting with outstanding Party members for assistance.

[0050] Personalized Party and Youth League Education System 132: This system constructs a comprehensive educational resource library covering various types of content, including Party history, Party theories and policies, excellent traditional Chinese culture, revolutionary culture, the spirit of scientists, cases of Party and Youth League co-construction, micro-Party lessons, and short red-themed videos. It supports AI-generated resources for real-time updates and enrichment, and allows users to upload and share high-quality educational resources. Based on youth user profiles, it automatically generates customized personal learning plans, including learning content, duration, format, and objectives. The system supports dynamic adjustments to learning plans based on progress. Based on Party building knowledge graphs and natural language processing algorithms, it builds an online intelligent question-and-answer assistant that accurately answers youth's questions about Party theories, principles, policies, Party membership procedures, and Youth League affairs, enabling interactive learning. Through online quizzes, intelligent review of thought reports, and semantic analysis of learning reflections, it monitors youth's learning effectiveness in real time, generating personalized learning reports, identifying learning gaps, and recommending corresponding supplementary learning content.

[0051] Immersive Red Education System 133: Based on AI generation algorithms, this system automatically generates diverse red education content according to the interests and industry characteristics of young people. This includes short red videos, red comics, short stories about Party history, and posters promoting the spirit of scientists. The content format aligns with young people's information acquisition habits. It also develops immersive VR / AR scenes for red education, including revolutionary historical scenes, red education bases, and scientists' research scenes. Young people can experience these scenes immersively through VR / AR devices, intuitively understanding the core connotations of red culture and the spirit of scientists. The system also designs interactive experiences such as red culture mini-games, Party history knowledge competitions, and red-themed script-based games to promote interactive learning of red culture among young people, enhancing the fun and participation in the learning process.

[0052] The Intelligent Party and Youth League Joint Building Activity Management System 134 allows users to input basic information such as activity theme, participants, activity duration, and budget. The system automatically generates multiple joint building activity plans, each including detailed information such as activity flow, content, format, material preparation, and personnel arrangements. It also predicts the effectiveness of the plans based on historical activity data and supports user customization. The system enables online registration, notification push, check-in, and material requisition. It supports various activity formats, including online, offline, and hybrid activities, automatically counting participants and their participation status. Interactive features include online live streaming, interactive bullet comments, quizzes with prizes, and on-site voting to enhance youth participation. The system also collects real-time interactive and feedback data from the activity. After the activity, the system automatically performs quantitative analysis of participation, interaction, and feedback data, generating a post-activity review report that summarizes highlights and shortcomings and provides suggestions for future optimization.

[0053] The Party and Youth League Integrated Data Management System 135: Constructs a standardized integrated data resource library for Party and Youth League members, storing all data including basic information, learning data, activity data, ideological data, and organizational data of young Party and Youth League members. It supports adding, deleting, modifying, and querying data, as well as tracing historical data. Data is categorized and managed according to data type and business type, with different data access permissions set to ensure data security. It enables data collaboration and sharing among Party and Youth League organizations at all levels, supports cross-unit and cross-departmental data integration, provides data support for joint Party and Youth League building work, and enables visualized analysis of Party and Youth League data through data dashboards, reports, charts, etc., including Party and Youth League organizational structure, young Party and Youth League member structure, learning effectiveness analysis, activity implementation analysis, and value shaping effect analysis, providing data support for Party and Youth League organization decision-making.

[0054] The Value Shaping Effect Quantitative Evaluation System 136 constructs an evaluation system with "theoretical cognition, emotional identification, behavioral practice, organizational participation, and value orientation" as primary indicators. Each primary indicator is broken down into several secondary and tertiary indicators. For example, the theoretical cognition indicator includes the accuracy rate of answering questions on Party theory, the degree of understanding of policies, and the mastery of Party history knowledge. The behavioral practice indicator includes the number of times participating in public welfare activities, performance in job-related achievements, and the role of Party members as pioneers and role models. All indicators are equipped with quantitative scoring standards. Through quantitative analysis of multi-source data on youth, the system automatically calculates the scores of each indicator, realizing a multi-dimensional evaluation of the value shaping effect on individual youth and youth groups. It supports comparative analysis by time, organization, and group, and automatically generates value shaping effect evaluation reports for individuals and groups, including evaluation scores, indicator analysis, growth trajectory, and existing problems. This provides guidance for the growth of individual youth and the optimization of Party and Youth League organization work. Based on the evaluation results, the system automatically analyzes the shortcomings in the joint Party and Youth League building work and generates a report on optimization suggestions for Party building work, including specific suggestions such as optimizing educational content, innovating activity forms, and adjusting assistance strategies, to promote the continuous optimization of joint Party and Youth League building work.

[0055] The application terminal layer 140 includes a computer-based management backend 141, a mobile app, a WeChat mini-program 143, H5 pages, and a VR / AR terminal.

[0056] PC-based management backend 141: Designed for Party and Youth League cadres at all levels, it provides all system management functions, including data management, user management, content management, activity management, evaluation management, and access control, and supports big data visualization analysis and batch operations.

[0057] Mobile App: Designed for young Party and Youth League members and cadres, it provides core functions such as personalized learning, activity registration, ideological reporting, online interaction, and intelligent Q&A, and supports convenient operations such as offline learning, voice interaction, and QR code check-in.

[0058] WeChat Mini Program 143: As a lightweight version of the mobile app, it provides high-frequency functions such as event registration, learning check-in, Party history quizzes, and data queries. No download or installation is required, making it convenient for young people to use quickly.

[0059] H5 Page: Supports direct access via browser, providing functions such as viewing red education resources, participating in online activities, and sharing learning experiences. It also supports one-click sharing to social media platforms, expanding the reach and influence of Party building work.

[0060] VR / AR Terminal: The immersive red education system is integrated with the 133 platform, allowing young people to experience immersive red education scenarios through VR glasses and AR devices, enabling immersive learning and interaction.

[0061] The security layer 150 includes a data security module 151, an algorithm security module 152, a privacy protection module 153, a system security module 154, and an operation auditing module 155, among which...

[0062] Data Security Module 151: Employs technologies such as data encryption, distributed storage, and off-site backup to provide comprehensive encryption protection for Party building data and youth user data, preventing data leakage, loss, and tampering. It also sets up hierarchical control of data access permissions, assigning different data access permissions based on user roles and job responsibilities.

[0063] Algorithm security module 152: Conducts political compliance reviews of AI algorithm models in the system to ensure that algorithm decisions conform to the Party's line, principles and policies, avoid algorithmic bias and technological alienation, and monitors and updates the algorithm models in real time to ensure the accuracy and stability of the algorithms.

[0064] Privacy Protection Module 153: Strictly abide by relevant laws and regulations, de-identify the personal privacy information of young users, do not collect privacy data unrelated to Party building work, and obtain explicit authorization from users for the collection, use and sharing of user data. Set up privacy policies and user authorization interfaces to protect users' right to know and right to choose.

[0065] System security module 154: Employs technologies such as firewalls, intrusion detection, and virus scanning to prevent external network attacks and malicious intrusions, performs real-time monitoring and vulnerability patching of the system, ensures system stability and reliability, supports uninterrupted operation 24 / 7, and meets the routine needs of Party building work.

[0066] Operation Audit Module 155: Records and audits all operations within the system in real time, including the operator, operation time, operation content, and operation results, enabling full traceability of operations and issuing timely warnings for abnormal operations to ensure the standardization and security of system operations.

[0067] In the description of this specification, the terms "first" and "second" are used for descriptive purposes only and should not be construed as indicating or implying relative importance or implicitly specifying the number of indicated technical features. Thus, a feature defined as "first" or "second" may explicitly or implicitly include at least one of that feature. In the description of this invention, "a plurality of" means at least two, such as two, three, etc., unless otherwise explicitly specified.

[0068] In the description of this specification, the references to terms such as "one embodiment," "some embodiments," "example," "specific example," or "some examples," etc., indicate that a specific feature, structure, material, or characteristic described in connection with that embodiment or example is included in at least one embodiment or example of the present invention. In this specification, the illustrative expressions of the above terms do not necessarily refer to the same embodiment or example. Furthermore, the specific features, structures, materials, or characteristics described may be combined in any suitable manner in one or more embodiments or examples. Moreover, without contradiction, those skilled in the art can combine and integrate the different embodiments or examples described in this specification, as well as the features of different embodiments or examples.

[0069] Although embodiments of the present invention have been shown and described above, it is understood that the above embodiments are exemplary and should not be construed as limiting the present invention. Those skilled in the art can make changes, modifications, substitutions and variations to the above embodiments within the scope of the present invention.

Claims

1. A smart Party building system based on artificial intelligence, characterized in that, It includes a data acquisition layer (110), an AI algorithm engine layer, a core function layer (130), an application terminal layer (140), and a security layer (150), among which, The data acquisition layer (110) includes a structured data acquisition module (111), an unstructured data acquisition module (112), a behavioral data acquisition module (113), and a party-league linkage data synchronization module (114), which realizes the comprehensive, real-time, and standardized acquisition of relevant data of young party members and league members, and improves the data through the data cleaning and verification sub-module; The AI ​​algorithm engine layer includes a youth user profile modeling module (121), an ideological dynamics analysis and early warning module (122), a personalized content recommendation module (123), an intelligent event planning module (124), a value shaping effect evaluation module (125), and a dedicated algorithm model library for youth party and league co-construction (126). The core functional layer (130) includes a youth ideological dynamics perception system (131), a personalized party and youth league education system (132), an immersive red education system (133), an intelligent party and youth league co-construction activity management system (134), a party and youth league integrated data management system (135), and a value shaping effect quantitative evaluation system (136). The application terminal layer (140) includes a computer-based management backend (141), a mobile app, a WeChat mini-program (143), an H5 page, and a VR / AR terminal; The security layer (150) includes a data security module (151), an algorithm security module (152), a privacy protection module (153), a system security module (154), and an operation audit module (155).

2. The intelligent Party building system based on artificial intelligence according to claim 1, characterized in that, The data acquisition layer (110)’s Party and League linkage data synchronization module (114) is designed with a unified Party and League data standard and data interface.

3. The intelligent Party building system based on artificial intelligence according to claim 1, characterized in that, The youth user profile modeling module (121) of the AI ​​algorithm engine layer is based on collaborative filtering algorithm and deep learning algorithm.

4. The intelligent Party building system based on artificial intelligence according to claim 1, characterized in that, The thought dynamic analysis and early warning module (122) of the AI ​​algorithm engine layer performs semantic analysis on youth text data based on natural language processing algorithms, constructs a thought dynamic prediction model in combination with machine learning algorithms, sets three risk levels of low, medium and high to realize early warning of thought risks, and automatically pushes corresponding intervention strategies.

5. The intelligent Party building system based on artificial intelligence according to claim 1, characterized in that, The personalized Party and Youth League education system (132) of the core functional layer (130) includes a Party building knowledge graph.

6. The intelligent Party building system based on artificial intelligence according to claim 1, characterized in that, The immersive red education system (133) of the core functional layer (130) is composed of AI generation technology and VR / AR technology, including AI-generated red content, VR / AR immersive scenes and red culture interactive experience.

7. The intelligent Party building system based on artificial intelligence according to claim 1, characterized in that, The intelligent Party and Youth League co-construction activity management system (134) of the core functional layer (130) realizes intelligent generation of activity plans based on reinforcement learning algorithm and clustering algorithm.

8. The intelligent Party building system based on artificial intelligence according to claim 1, characterized in that, The value shaping effect quantitative evaluation system (136) of the core functional layer (130) takes theoretical cognition, emotional identification, behavioral practice, organizational participation and value orientation as evaluation directions.

9. The intelligent Party building system based on artificial intelligence according to claim 1, characterized in that, The privacy protection module (153) of the security layer (150) requires explicit authorization from the user to use and share user information, thus protecting the user's right to know and right to choose.

10. The intelligent Party building system based on artificial intelligence according to any one of claims 1-9, characterized in that, The system is applicable to Party and Youth League organizations at all levels of government agencies, enterprises, public institutions, universities, and research institutes. The user profile model, recommendation algorithm, and evaluation indicator system can be customized to meet the specific characteristics and needs of young people in different scenarios.

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