System for realizing intelligent office guidance of office staff based on government affair element universe digital person

Abstract

The invention provides a government affair element universe digital person-based system for realizing intelligent guide of affair handling personnel, and belongs to the technical field of government affair service intellectualization. The system deeply integrates element universe, intelligent interaction, big data and artificial intelligence technologies, realizes natural interaction with the affair handling personnel by means of an intelligent virtual digital person, and realizes intelligent guide of the affair handling personnel. And the government affair service process can be smoothly completed. A local intelligent knowledge base system and a knowledge base exclusive to multiple government affair departments are built, and a DeepSeek large model is applied. Voice or text query of business knowledge, handling processes, policies and regulations is supported, and contents cover latest policies of tax payment services, meta universe, offline business handling places and modes and the like. The digital human has abundant functions, provides business consultation, hall navigation guidance and intelligent explanation, can also perform daily question and answer interaction, and creates a relaxed communication atmosphere. And after logging in the meta universe cloud hall, the accompanying real-time efficient interactive guide service can be obtained by clicking the guide digital person, so that the government affair service efficiency and the user satisfaction are remarkably improved.

Description

Technical Field

[0001] This invention relates to the field of intelligent government services, and in particular to a system that enables intelligent guidance for applicants based on a digital human-based government metaverse. Background Technology

[0002] With the deepening of digital government services, people's expectations for the convenience and intelligence of these services are rising. Traditional government service guidance models rely excessively on manual consultation, revealing numerous problems such as limited service efficiency, lagging information updates, and a lack of personalized services. At the same time, the booming development of metaverse technology has opened up new paths for government service innovation. By building virtual government service scenarios and integrating intelligent digital human technology, a more immersive and interactive service experience can be created.

[0003] Currently, while some government service scenarios have attempted to introduce intelligent customer service, most only offer text-based responses, severely lacking contextualized guidance and in-depth interaction. The application of metaverse technology can effectively overcome this limitation, enabling virtual digital humans to interact naturally with applicants in a three-dimensional environment, integrating multi-source knowledge bases to provide more precise business guidance. Furthermore, applicants urgently need comprehensive policy consultations and clear guidance on procedures, necessitating an intelligent guidance system that integrates advanced technologies to overcome the shortcomings of traditional models and drive the upgrading of government services towards intelligence and diversification. Summary of the Invention

[0004] To address the aforementioned technical issues, this invention provides a system for intelligent guidance of government services based on digital humans in the metaverse of government affairs. It focuses on solving key problems such as low efficiency, poor interactive experience, and insufficient service accuracy in traditional government service guidance. Through the innovative application of intelligent virtual digital humans in the metaverse scenario, it realizes core functions such as business consultation, process guidance, and policy push, significantly improving the efficiency of government services and user satisfaction.

[0005] The technical solution of this invention is:

[0006] A system based on a digital human in the government metaverse to enable intelligent guidance for service providers includes a digital human interaction module, an intelligent knowledge base module, a business guidance module, a navigation guidance module, a policy push module, a data receiving and processing module, and a terminal device management module.

[0007] in,

[0008] The Digital Human Interaction Module integrates an intelligent virtual digital human, leveraging speech recognition and natural language processing technologies. It innovatively incorporates sentiment analysis algorithms, such as the LSTM (Long Short-Term Memory) sentiment analysis model based on deep learning, to enable voice or text interaction with staff. This supports scenarios such as daily Q&A and business consultations, while also meeting diverse interaction needs. The module also utilizes Convolutional Neural Networks (CNNs) to optimize gesture recognition, accurately identifying complex gesture combinations and further enriching the interaction methods.

[0009] The intelligent knowledge base module integrates the local DeepSeek large-scale model knowledge base, storing data such as business knowledge, processing procedures, policies, and regulations. Through knowledge quality assessment indicators, such as accuracy, timeliness of updates, and coverage, it ensures accurate answers for the digital human and possesses an efficient update mechanism. During the DeepSeek large-scale model learning process, transfer learning algorithms are used to quickly transfer and apply knowledge from other related fields to government affairs knowledge learning, accelerating knowledge updates.

[0010] Business guidance module: Based on the inquiries from applicants, this module uses a decision tree algorithm to analyze business needs and guides them through the government service process, including instructions on document submission and processing steps. The guidance process is continuously improved through process optimization metrics such as reduced processing time and lower user error rates. When analyzing needs, a Naive Bayes classification algorithm is used to assist the decision tree algorithm, improving the accuracy of needs classification.

[0011] Navigation Guidance Module: Provides navigation services for the Metaverse Cloud Hall and offline government service halls. Combining the Metaverse 3D scene, it uses the A* path planning algorithm to mark information such as the location of service windows and self-service equipment. Navigation service quality is improved through navigation satisfaction indicators, such as path planning accuracy and arrival time error rate. Considering real-time pedestrian flow and queue conditions at service windows, a dynamic programming algorithm is used to adjust the navigation path in real time.

[0012] Policy Push Module: Based on the applicant's identity and inquiry content, this module uses association rule algorithms, such as the Apriori algorithm, to accurately push applicable policies and regulations, focusing on high-frequency requests and hot issues. It also optimizes the push effect through policy push accuracy metrics, such as policy click-through rate and inquiry conversion rate. Clustering algorithms are used to classify applicants, allowing for targeted policy pushes to different user categories.

[0013] The data receiving and processing module collects questions input by users, analyzes them using algorithms, and generates responses by accessing knowledge base resources. It integrates edge computing technology and incorporates data anomaly detection algorithms, such as the Isolation Forest algorithm, and data compression algorithms, such as the LZ77 algorithm, to improve response speed and system stability. A distributed computing framework is used to accelerate data processing, further enhancing system performance.

[0014] Terminal Device Management Module: Responsible for managing smart terminal devices. It monitors operational status through a device health indicator system, such as CPU utilization thresholds, memory usage thresholds, and network latency thresholds. It statistically analyzes operational data and utilizes data mining algorithms, such as association rule mining and sequence pattern mining, to provide strong data support for optimizing service strategies. It also employs machine learning algorithms to predict device failures and perform maintenance proactively.

[0015] The digital human interaction module supports multimodal interaction, including but not limited to voice recognition, text input, and gesture recognition, to meet the diverse interaction needs of users, and continuously optimizes the gesture recognition function through deep learning algorithms.

[0016] The update mechanism of the intelligent knowledge base module includes: regularly synchronizing policy change data from various government departments, learning the latest business specifications through the DeepSeek large model, and using reinforcement learning algorithms, such as Deep Q Network (DQN), to optimize the learning strategy and ensure that the knowledge content is accurate in real time.

[0017] The workflow of the business guidance module is as follows:

[0018] 1) Receive business consultation requests from staff and use decision tree algorithm combined with Naive Bayes classification algorithm to analyze the type of request;

[0019] 2) Retrieve the corresponding business processing procedure from the intelligent knowledge base module;

[0020] 3) Use visual aids (such as step-by-step animations and text descriptions) to guide users through the process, answer questions in real time, and continuously improve the guidance methods based on process optimization indicators.

[0021] The navigation guidance module, combined with the metaverse 3D scene, provides immersive navigation services for users and supports the following functions:

[0022] 1) Mark the location of business processing nodes in the metaverse cloud hall in real time, and use the A* path planning algorithm combined with the dynamic programming algorithm to plan the optimal path;

[0023] 2) Switch to the offline lobby view to display the physical area layout and path planning;

[0024] 3) Mark the locations of self-service equipment, rest areas, and other auxiliary facilities, and improve service quality through navigation satisfaction indicators.

[0025] The precise push mechanism of the policy push module includes:

[0026] 1) Analyze the identity tags of service personnel (such as enterprise type, business frequency, and multi-level business types), and use association rule algorithms such as the Apriori algorithm combined with clustering algorithms to mine potential needs;

[0027] 2) Matching historical consultation records with frequently requested requests;

[0028] 3) Analyze the scope of policy application through DeepSeek's big data model, push customized policy content to the relevant personnel, and evaluate and optimize the push effect through policy push accuracy indicators.

[0029] The data receiving and processing module integrates edge computing technology to perform localized preprocessing of user-input data, introduces data anomaly detection and data compression algorithms to improve response speed, ensure smooth interaction, and enhance system security. A distributed computing framework is employed to improve data processing efficiency.

[0030] The digital human interaction module's daily Q&A function covers everyday knowledge, weather inquiries, and interesting content related to government services, creating a relaxed interactive atmosphere, enhancing user stickiness, and improving the interactive experience through sentiment analysis algorithms.

[0031] Furthermore, the specific working process of the system is as follows:

[0032] 1) When a person applies for a service, they log in to the Metaverse Cloud Hall, enter the guidance and interaction scenario, and trigger the digital human interaction module;

[0033] 2) The digital human guides staff to input questions via voice / text, the data receiving and processing module collects the question information, and the data anomaly detection algorithm ensures data quality;

[0034] 3) The intelligent knowledge base module calls the DeepSeek large model knowledge base to analyze and generate answer content, and ensures the accuracy of the answer through knowledge quality evaluation indicators;

[0035] 4) If the problem involves business processing, the business guidance module will initiate process guidance, and the navigation guidance module will provide location information at the same time, using decision tree algorithm and path planning algorithm to improve guidance efficiency;

[0036] 5) If the question involves policy consultation, the policy push module accurately matches the policy content, explains it through a digital human, and optimizes the policy push using association rule algorithms;

[0037] 6) During the interaction, the terminal device management module monitors the system's operating status in real time, ensures system stability through the device health indicator system, statistically analyzes the guidance data, and optimizes service strategies using data mining algorithms.

[0038] Furthermore, the digital human supports multi-terminal access, including but not limited to the Metaverse Cloud Hall client, government service APP, and offline hall smart terminals, to achieve full-scenario coverage of guidance services.

[0039] The beneficial effects of this invention are

[0040] 1. Improve service efficiency: By automating interaction with digital humans, some manual guidance is replaced, reducing waiting time for applicants. Multi-threaded services are supported, and various algorithms optimize processes, significantly improving the efficiency of government service processing. Distributed computing and parallel processing technologies further enhance the overall system efficiency.

[0041] 2. Enhanced Interactive Experience: The metaverse scene is integrated with the digital human to provide an immersive interactive experience, supporting multimodal interaction such as voice, text, and gestures. Sentiment analysis and deep learning algorithms are used to improve the interactive experience and adapt to different user habits. Emerging interactive technologies such as haptic feedback are utilized to further enrich the interactive dimensions.

[0042] 3. Precise Service Delivery: Based on big data analytics and the DeepSeek big data model, the system uses association rule algorithms to accurately match business processes and policies / regulations, meeting the personalized needs of applicants and enabling "policies to find people." Through user profiling and personalized recommendation technology, more precise service delivery is achieved.

[0043] 4. Full-Scenario Coverage: Supports multi-terminal access including the Metaverse Cloud Hall, government affairs apps, and offline terminals, ensuring consistent intelligent guidance services whether in online virtual scenarios or offline physical halls. Utilizing cross-platform development technology, it ensures smooth operation and a consistent experience for the digital human across different terminals.

[0044] Real-time knowledge updates: The intelligent knowledge base module regularly synchronizes data from government departments, combining large-scale model learning capabilities with reinforcement learning algorithms to ensure the real-time accuracy of business knowledge, policies, and regulations, avoiding information lag. Through real-time data synchronization and intelligent update mechanisms, the timeliness and accuracy of knowledge are guaranteed. Attached Figure Description

[0045] Figure 1 This is a schematic diagram of the workflow of the present invention. Detailed Implementation

[0046] To make the objectives, technical solutions, and advantages of the embodiments of the present invention clearer, the technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are some embodiments of the present invention, but not all embodiments. All other embodiments obtained by those skilled in the art based on the embodiments of the present invention without creative effort are within the scope of protection of the present invention.

[0047] This invention aims to create a system that enables intelligent guidance for government service providers based on digital humans in the metaverse of government affairs. It focuses on solving key problems such as low efficiency, poor interactive experience, and insufficient service accuracy in traditional government service guidance. Through the innovative application of intelligent virtual digital humans in the metaverse scenario, it realizes core functions such as business consultation, process guidance, and policy push, significantly improving the efficiency of government services and user satisfaction.

[0048] The system of the present invention consists of a digital human interaction module, an intelligent knowledge base module, a business guidance module, a navigation guidance module, a policy push module, a data receiving and processing module, and a terminal device management module.

[0049] Digital Human Interaction Module: Integrates an intelligent virtual digital human, based on speech recognition and natural language processing technologies. It innovatively introduces sentiment analysis algorithms, such as an LSTM-based sentiment analysis model, supporting voice or text interaction and comprehensively covering business consultation and daily Q&A scenarios. Simultaneously, it optimizes gesture recognition functionality through deep learning algorithms such as CNN to meet diverse interaction needs. Generative Adversarial Network (GAN) technology is used to generate more natural and vivid digital human images and interactive actions.

[0050] The intelligent knowledge base module integrates the DeepSeek large model, a local intelligent knowledge base, and multiple government department-specific knowledge bases to store business knowledge, policies, and regulations. It ensures the real-time accuracy of content through knowledge quality assessment indicators and achieves real-time knowledge updates by regularly synchronizing government department data and using reinforcement learning algorithms such as DQN to optimize the large model's learning strategy. Knowledge graph technology is used to construct a knowledge association network for the knowledge base, improving the efficiency of knowledge retrieval and application.

[0051] Business guidance module: This module uses a decision tree algorithm combined with a Naive Bayes classification algorithm to analyze the needs of applicants, retrieves business processes from the knowledge base, and guides applicants through government services in a visual manner. The guidance process is continuously improved through process optimization indicators to enhance efficiency and quality. Process simulation technology is employed to verify and optimize the business process guidance plan in advance.

[0052] Navigation Guidance Module: Provides navigation services for both the Metaverse Cloud Hall and offline lobbies. Combining the Metaverse 3D scene, it utilizes the A* path planning algorithm with dynamic programming to mark service locations and auxiliary facilities, and continuously improves the navigation service level through navigation satisfaction metrics. Employing virtual reality (VR) and augmented reality (AR) technologies, it provides users with a more intuitive and immersive navigation experience.

[0053] Policy push module: Based on identity tags and historical data, it uses association rule algorithms such as the Apriori algorithm combined with clustering algorithms to accurately match policies and push customized content. The module optimizes the push effect through policy push accuracy metrics to achieve precise policy delivery. Natural language generation (NLG) technology is used to present policy content to users in a more accessible and personalized way.

[0054] Data receiving and processing module: Collects and analyzes questions, quickly calls upon the knowledge base to generate responses, integrates edge computing technology, and introduces data anomaly detection and data compression algorithms to ensure smooth interaction and system security. Blockchain technology is used to ensure data security and immutability, improving the credibility of data processing.

[0055] Terminal Device Management Module: Manages smart terminals, monitors their operational status through a device health indicator system, and utilizes data mining algorithms to statistically analyze guidance data, providing strong support for optimizing service strategies. It employs Artificial Intelligence Operations and Maintenance (AIOps) technology to achieve automation and intelligence in device management.

[0056] Workflow

[0057] 1. The staff member logs into the Metaverse Cloud Hall, triggers the digital human interaction module, and enters the question;

[0058] 2. The data receiving and processing module collects questions and uses data anomaly detection algorithms to ensure data quality. The intelligent knowledge base module ensures that accurate answers are generated through knowledge quality assessment indicators.

[0059] 3. When business processing is involved, the business guidance module uses a decision tree algorithm to initiate process guidance, and the navigation guidance module uses a path planning algorithm to provide location information.

[0060] 4. When policy consultation is involved, the policy push module uses association rule algorithms to accurately match and explain policies;

[0061] 5. The terminal device management module monitors the system in real time through the device health indicator system and uses data mining algorithms to collect statistical data and optimize services.

[0062] Example 1: System Module Implementation

[0063] Combined with appendix Figure 1 The specific module implementation is as follows:

[0064] 1. Digital Human Interaction Module: This module utilizes 3D modeling technology to create a virtual digital human avatar, integrating a speech recognition engine and natural language processing algorithms. For example, it uses speech recognition technology to convert the speech of service personnel into text, leverages the DeepSeek large-scale model to understand semantics, generates response content, and then outputs the voice response through speech synthesis technology. It also supports text input box interaction to meet the needs of different users. The digital human avatar is customized according to the style of government departments to enhance friendliness, and uses sentiment analysis algorithms such as LSTM-based models to perceive user emotions and optimize interaction methods. GAN technology is used to generate more realistic digital human avatar movements, such as using natural gestures and facial expressions when answering questions.

[0065] 2. Intelligent Knowledge Base Module: Constructing a three-tiered knowledge base system:

[0066] Local base library: stores common business knowledge and general specifications for processing procedures;

[0067] Department-specific databases: Connecting with tax, market supervision and other departments to synchronize professional policies, regulations and business rules;

[0068] Large Model Expansion Library: Leveraging DeepSeek's large models to learn industry trends and the latest policy interpretations, supplementing content not covered in the knowledge base. Scheduled update tasks are set up to synchronize data interfaces from various departments every morning to ensure timely knowledge. For example, when the tax department releases new tax policies, the system automatically retrieves the content, reviews it, and adds it to the database for use by the digital human. Knowledge content is evaluated and optimized using knowledge quality assessment indicators. Knowledge graph technology is used to connect and integrate knowledge from different sources, facilitating rapid retrieval and application.

[0069] 3. Business Guidance Module: Taking the tax service process guidance as an example: When a customer inquires about the "Corporate Income Tax Filing Process," the digital human interaction module receives the question, and the data receiving and processing module parses it into the category of "Tax Filing - Corporate Income Tax." The business guidance module uses a decision tree algorithm combined with a Naive Bayes classification algorithm to retrieve the filing process from the intelligent knowledge base.

[0070] Log in to the e-Tax Bureau;

[0071] Access the corporate income tax filing interface;

[0072] Fill out the application form and upload the supporting documents;

[0073] Submit for review and pay taxes.

[0074] Simultaneously, a visual guidance interface is generated and displayed in the Metaverse Cloud Hall as step-by-step animations. Users can click on each step to view detailed explanations, with a digital avatar providing synchronized voice narration. The guidance process is continuously improved based on process optimization metrics. Process simulation technology is employed to anticipate and optimize potential user operation issues in advance. For example, during the application form filling stage, simulations reveal that users are prone to making mistakes in certain fields, and prompts are provided in advance.

[0075] 4. Navigation Guidance Module: Within the Metaverse Cloud Hall, a 3D map is used to mark the locations of service processing areas. For example, if a person needs to go to the offline hall to apply for a business license, the navigation guidance module switches to the offline hall view, displays the hall floor plan, marks the location of the "Business Registration Window," and provides route planning using an A* path planning algorithm combined with dynamic programming. If the application is processed within the Metaverse Cloud Hall, the location of a virtual window is marked, guiding the person to click and enter the processing scenario. User feedback is collected through navigation satisfaction metrics to optimize the navigation service. VR and AR technologies are used to provide users with a more intuitive navigation experience. For instance, within the Metaverse Cloud Hall, users can wear VR devices and follow the navigation path to the processing window from a first-person perspective.

[0076] 5. Policy Push Module: Taking the push of tax incentive policies for micro and small enterprises as an example: The system analyzes that the applicant's identity tag is "micro and small enterprise" and their historical consultation records show interest in tax incentives. The policy push module uses association rule algorithms such as the Apriori algorithm combined with clustering algorithms and the DeepSeek large model to analyze the currently applicable policies, such as "income tax reduction and exemption for micro and small enterprises".

[0077] This invention constructs an intelligent service guidance system based on a digital human within a government metaverse, integrating metaverse technology, artificial intelligence, and big data analytics to achieve efficient interaction between service providers and the digital human, covering core scenarios such as business consultation, process guidance, and policy dissemination. The system's modules work collaboratively, relying on the dynamic updates of an intelligent knowledge base and the analytical capabilities of the DeepSeek big data model to ensure the accuracy and real-time nature of services. Its multi-terminal access design meets the needs of different scenarios, promoting the development of government services towards intelligence and immersion, and significantly improving the service experience for service providers and the efficiency of government processing.

[0078] This invention leverages intelligent virtual digital humans to provide services such as business consultation, process guidance, and policy interpretation within a metaverse setting, significantly improving the efficiency of government services and user experience, and leading the transformation of government services with innovative technology.

[0079] The above description is merely a preferred embodiment of the present invention and is used only to illustrate the technical solution of the present invention, and is not intended to limit the scope of protection of the present invention. Any modifications, equivalent substitutions, improvements, etc., made within the spirit and principles of the present invention are included within the scope of protection of the present invention.

Claims

1. A system for intelligent guidance of service providers based on a digital human-based government affairs metaverse, characterized in that: include: Digital Human Interaction Module: Integrates an intelligent virtual digital human, relying on speech recognition and natural language processing technologies, and introducing sentiment analysis algorithms to achieve voice or text interaction with service personnel. It supports scenarios such as daily Q&A and business consultation, while meeting diverse interaction needs. Convolutional neural networks are used to optimize gesture recognition, recognizing complex gesture combinations and further enriching interaction methods. Intelligent Knowledge Base Module: Integrates the local DeepSeek large model knowledge base to store data on business knowledge, processing procedures, and policies and regulations; provides accurate answers for digital humans through knowledge quality assessment indicators and has an update mechanism; during the learning process of the DeepSeek large model, it uses transfer learning algorithms to transfer and apply knowledge from other related fields to the learning of government affairs knowledge, thereby accelerating knowledge updates; Business guidance module: Based on the inquiries of applicants, the module uses a decision tree algorithm to analyze business needs, guides applicants through the government service process, and continuously improves the guidance process through process optimization indicators; when analyzing needs, the module uses a Naive Bayes classification algorithm to assist the decision tree algorithm, improving the accuracy of needs classification; Navigation guidance module: Provides navigation services for the Metaverse Cloud Hall and offline government service halls. Combining the Metaverse 3D scene, it uses the A* path planning algorithm to mark the location information of business processing windows and self-service equipment, and improves the quality of navigation services through navigation satisfaction index; taking into account real-time traffic flow and queuing situation at business processing windows, it uses dynamic programming algorithm to adjust the navigation path in real time. Policy push module: Based on the identity of the person seeking services and the content of the inquiry, it pushes applicable policies and regulations with the help of association rule algorithms, focusing on high-frequency demands and hot issues, and optimizes the push effect through policy push accuracy indicators; it also uses clustering algorithms to classify people seeking services and pushes policies to different categories of users. Data receiving and processing module: collects questions input by users, analyzes them using algorithms, calls knowledge base resources to generate responses, integrates edge computing technology, and introduces data anomaly detection algorithms; Terminal device management module: Responsible for managing smart terminal devices, statistically analyzing guidance data through the device health indicator system, providing data support for optimizing service strategies using data mining algorithms, and using machine learning algorithms to predict device failures and perform maintenance in advance.

2. The system according to claim 1, characterized in that, The digital human interaction module supports multimodal interaction, including speech recognition, text input, and gesture recognition, adapting to the diverse interaction needs of users, and continuously optimizing the gesture recognition function through deep learning algorithms.

3. The system according to claim 1, characterized in that, The update mechanism of the intelligent knowledge base module includes: regularly synchronizing policy change data from various government departments, learning the latest business specifications through the DeepSeek large model, and using reinforcement learning algorithms to optimize the learning strategy to ensure that the knowledge content is accurate and up-to-date.

4. The system according to claim 1, characterized in that, The workflow of the business guidance module is as follows: (1) Receive business consultation requests from staff and use decision tree algorithm combined with Naive Bayes classification algorithm to analyze the type of request; (2) Retrieve the corresponding business processing procedure from the intelligent knowledge base module; (3) Guide staff to complete the operation in a visual way, answer questions in the process in real time, and continuously improve the guidance method based on process optimization indicators.

5. The system according to claim 1, characterized in that, The navigation guidance module, combined with the metaverse 3D scene, provides immersive navigation services for users and supports the following functions: (1) Mark the location of business processing nodes in the metaverse cloud hall in real time, and use the A* path planning algorithm combined with the dynamic programming algorithm to plan the optimal path; (2) Switch to the offline lobby view to display the physical area layout and path planning; (3) Mark the location of self-service facilities and improve service quality through navigation satisfaction index.

6. The system according to claim 1, characterized in that, The precise push mechanism of the policy push module includes: (1) Analyze the identity tags of service personnel and use association rule algorithms such as the Apriori algorithm combined with clustering algorithms to mine potential needs; (2) Matching historical consultation records with high-frequency requests; (3) Analyze the scope of policy application through the DeepSeek big model, push customized policy content to the staff, and evaluate and optimize the push effect through the policy push accuracy index.

7. The system according to claim 1, 2, or 3, characterized in that, The data receiving and processing module integrates edge computing technology to perform localized preprocessing of data input by staff, and introduces data anomaly detection and data compression algorithms; it also adopts a distributed computing framework to improve data processing efficiency.

8. The system according to claim 1 or 2, characterized in that, The digital human interaction module's daily Q&A function covers interesting content related to life knowledge, weather inquiries, and government services, and enhances the interactive experience through sentiment analysis algorithms.

9. The system according to claim 1, characterized in that, The specific work process is as follows: (1) Log in to the Metaverse Cloud Hall, enter the guidance and interaction scene, and trigger the digital human interaction module; (2) The digital human guides staff to input questions via voice / text, the data receiving and processing module collects question information, and the data anomaly detection algorithm is used to ensure data quality; (3) The intelligent knowledge base module calls the DeepSeek large model knowledge base to analyze and generate answer content, and ensures the accuracy of the answer through knowledge quality evaluation indicators; (4) If the problem involves business processing, the business guidance module will start process guidance, and the navigation guidance module will provide location information and use decision tree algorithm and path planning algorithm to improve guidance efficiency. (5) If the question involves policy consultation, the policy push module accurately matches the policy content, explains it through a digital human, and optimizes the policy push using association rule algorithms; (6) During the interaction, the terminal device management module monitors the system operation status in real time, ensures system stability through the device health indicator system, statistically analyzes the guidance data, and optimizes service strategies using data mining algorithms.

10. The system according to claim 1, characterized in that, The digital human supports multi-terminal access, including the Metaverse Cloud Hall client, government service APP, and offline hall smart terminals, to achieve full-scenario coverage of guidance services.

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