Electronic accounting file data display system based on virtual reality device

Abstract

An electronic accounting archive data display system based on virtual reality equipment relates to the field of electronic accounting archive management and data display technology. The system includes: a data acquisition and preprocessing module, used to collect electronic accounting archive data from various accounting information systems, and to clean, transform, and standardize the collected data to meet subsequent processing requirements; and a 3D modeling and scene construction module, which, based on the preprocessed data, uses 3D modeling technology to transform accounting data into 3D models, constructing virtual accounting data display scenes, and assigning different colors, shapes, and materials to different types of data models. Users, by wearing VR equipment, can immerse themselves in the virtual data display scene. Compared with traditional two-dimensional display methods, this greatly enhances the intuitiveness and immersion of data display, allowing users to understand the meaning behind the data more deeply.

Description

Technical Field

[0001] This invention relates to the field of electronic accounting record management and data display technology, specifically to an electronic accounting record data display system based on virtual reality equipment. Background Technology

[0002] In traditional electronic accounting data display systems, the dominant presentation method relies on two-dimensional tables, bar charts, and line graphs to display data one by one on the computer screen. This long-standing method has gradually revealed many significant shortcomings with the development of the times and the rapid increase in data volume. A deeper analysis from the perspective of data presentation format reveals it to be overly monotonous and tedious, merely limited to simple graphic drawing and numerical listing. Take the balance sheet, a crucial financial statement, for example. Users often need to spend a considerable amount of time and effort painstakingly sorting out and deriving the interrelationships between various accounting items from a dense and complex array of numbers. This process is extremely cumbersome, making it difficult for users to comprehensively and intuitively understand the hidden internal connections behind complex accounting data and the dynamic trends of data changes over time.

[0003] When faced with massive amounts of electronic accounting data, limited screen space becomes a major obstacle to data display and analysis. Financial personnel often need to frequently zoom in and out to view different levels of data details and constantly scroll to switch between different data areas. This makes comparing different data sets extremely difficult, significantly reducing readability and analyzability. This undoubtedly creates significant obstacles for financial personnel to deeply explore the value of data and make accurate decision-making analyses, making it difficult for them to efficiently obtain key information from massive amounts of data, thus impacting the efficiency and quality of financial work.

[0004] In recent years, virtual reality (VR) technology has made rapid progress, demonstrating unique application value in various fields such as gaming, education, and architectural design. In gaming, players can use VR devices to immerse themselves in virtual game worlds, gaining unprecedented gaming experiences. In education, VR technology creates realistic learning scenarios for students, making learning more vivid and engaging. In architectural design, designers can use VR technology to build 3D virtual models, enabling more intuitive design presentations and communication. The application of VR technology has brought entirely new experiences and transformations to these fields.

[0005] However, in the crucial area of ​​electronic accounting record data display, although VR technology has broad application prospects in theory, a mature and effective application solution has yet to emerge. VR technology's advanced immersive interactive features allow users to feel as if they are in a sea of ​​data, interacting directly with it; its highly flexible scene-building capabilities can construct diverse data display scenarios according to different financial analysis needs. Unfortunately, these advantages have not yet been fully explored and utilized, thus failing to effectively solve the various problems faced in the process of electronic accounting record data display. Issues such as the monotonous data presentation format and low analysis efficiency continue to plague practitioners. To address these technical problems, a new technical solution is proposed. Summary of the Invention

[0006] To address the problems raised in the background section, this paper proposes an electronic accounting record data display system based on virtual reality devices. This system addresses the limitations of two-dimensional tables, bar charts, and line graphs, which are limited to simple graphic drawing and numerical listing, resulting in monotonous and unintuitive presentations of complex accounting data's internal relationships and dynamic trends. When reviewing key reports (such as balance sheets), users must spend considerable time and effort tracing the interrelationships of accounting items, making it difficult to fully grasp the underlying meaning of the data in a short time. With large-scale electronic accounting record data, limited screen space hinders data display and analysis, requiring financial personnel to frequently zoom and scroll, leading to difficulties in data comparison and significantly reducing readability and analyzability, thus impacting data value extraction and decision-making efficiency. While VR technology is theoretically suitable for electronic accounting record data display, offering advantages such as immersive interaction and highly customizable scene construction, a mature and effective application solution is currently lacking. Its advantages have not been fully explored and utilized, failing to solve problems such as the limited data display format and low analytical efficiency.

[0007] This invention proposes an electronic accounting archive data display system based on virtual reality devices. The system includes: a data acquisition and preprocessing module, used to collect electronic accounting archive data from various accounting information systems, clean, transform, and standardize the collected data to meet subsequent processing requirements; a 3D modeling and scene construction module, which, based on the preprocessed data, uses 3D modeling technology to transform accounting data into 3D models, constructing a virtual accounting data display scene, and assigning different colors, shapes, and materials to different types of data models; a virtual reality interaction module, connected to virtual reality devices, enabling users to interact with the virtual display scene. Users can move, zoom, and rotate data models in the virtual scene using a controller, and can also query specific data information through voice commands; a data correlation analysis module, which automatically analyzes the correlation between different accounting data and presents it visually in the virtual scene, such as displaying related data and the degree of correlation; and a data update and synchronization module, which monitors changes in accounting information system data in real time, updating the system data promptly when new data is generated or existing data is updated, ensuring the real-time nature of the virtual display scene data.

[0008] As a preferred technical solution, the data acquisition and preprocessing module uses data interface technology to collect data from mainstream accounting information systems on a regular basis, removes noise and erroneous data through a written data cleaning script, and converts and stores the data according to a unified format standard.

[0009] As a preferred technical solution, the 3D modeling and scene construction module uses professional 3D modeling software to create 3D data models based on data characteristics and display requirements, and sets appropriate lighting, materials and background effects to create a realistic display environment.

[0010] As a preferred technical solution, the virtual reality interaction module connects the virtual reality device to the system, realizes data transmission and interactive control through the device driver, writes interactive logic code to realize the interaction response between the controller operation and the virtual scene data model, and integrates voice recognition technology to realize the voice command query function.

[0011] As a preferred technical solution, the data association analysis module uses data mining algorithms to perform association analysis on accounting data, writes algorithm programs to calculate the degree of association between different data, and connects the relevant data models in a virtual scene with lines of different thicknesses and colors based on the degree of association.

[0012] As a preferred technical solution, the data update and synchronization module retrieves the latest data from the accounting information system at regular intervals by setting scheduled tasks, compares it with existing data, and updates the 3D data model and virtual scene in a timely manner for newly added or updated data.

[0013] As a preferred technical solution, the system also has a user permission management module, which can assign different data viewing and operation permissions according to different user roles to ensure data security and confidentiality.

[0014] As a preferred technical solution, the 3D modeling and scene construction module can also adaptively adjust the layout of the virtual scene and the display method of the data model according to the user's historical viewing preferences and usage habits.

[0015] As a preferred technical solution, the data correlation analysis module can also combine time series analysis to predict the changing trend of accounting data and display the prediction results in the form of dynamic charts in a virtual scene.

[0016] As a preferred technical solution, this system can interface with other business systems of an enterprise to achieve integrated display of accounting data and business data, providing more comprehensive data support for enterprise decision-making.

[0017] Compared with the prior art, the beneficial effects of the present invention are:

[0018] 1. This invention is the first to apply virtual reality technology to the field of electronic accounting archive data display. By wearing VR devices, users can enter the virtual data display scene in an immersive way. Compared with the traditional two-dimensional display method, it greatly improves the intuitiveness and immersion of data display, and users can understand the meaning behind the data more deeply.

[0019] 2. Through the collaborative work of the virtual reality interaction module and the data correlation analysis module, users can interactively analyze accounting data from multiple dimensions. They can not only freely view the data from different angles, but also quickly understand the correlation between the data, providing more comprehensive and in-depth data analysis support for financial decision-making, which is something that traditional display systems cannot achieve.

[0020] 3. The data update and synchronization module ensures that the data in the virtual display scenario is always consistent with the latest data in the accounting information system. Users do not need to worry about the timeliness of the data and can obtain the latest accounting file data at any time for analysis and decision-making, thereby improving work efficiency and decision-making accuracy. Detailed Implementation

[0021] The technical solutions in the embodiments of the present invention will be clearly and completely described below. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0022] An electronic accounting archive data display system based on virtual reality devices includes: a data acquisition and preprocessing module for collecting electronic accounting archive data from various accounting information systems, cleaning, transforming, and standardizing the collected data to meet subsequent processing requirements; and a carefully equipped professional data acquisition module with strong compatibility and adaptability, enabling precise integration with mainstream accounting information systems widely used in the market, such as Kingdee and Yonyou, as well as niche accounting information systems used in specific industries and scenarios. Utilizing a self-developed and multi-round optimized high-efficiency data interface, the system can rapidly acquire electronic accounting archive data in a very short time using a highly automated batch processing method. Upon successful completion of the data acquisition task, the system immediately triggers a rigorous data cleaning process. This process utilizes cutting-edge, sophisticated data cleaning algorithms to deeply analyze each record from the underlying logic of the data. It automatically and accurately identifies and removes various types of noise, which may be caused by interference during data transmission or abnormal characters during initial data entry. Simultaneously, duplicate values ​​are screened and cleaned to prevent redundant data from interfering with subsequent processing. Records with obvious errors, such as incorrect date formats or abnormal monetary values, are also removed. Subsequently, based on the data standards and specifications carefully established at the system's initial design stage, the cleaned data undergoes comprehensive format conversion and standardization. At the data structure level, the data is rearranged according to preset hierarchical relationships and organizational forms. The system first uses advanced 3D modeling technology, following predetermined algorithm rules, to accurately and efficiently transform various types of accounting data into realistic 3D models after a series of preprocessing operations, including data cleaning and format conversion. When constructing the virtual accounting data display scene, the display effect and data differentiation are fully considered, and elements are carefully selected from a massive color library, shape library, and material library. The asset-type data model is given a gold appearance, a cuboid shape, and a metallic material to highlight its important status and value; the liability-type data model is given a blue color, a columnar shape, and a glass material to showcase its transparency and liquidity; and the equity-type data model is given a green color, a spherical shape, and a wooden material to reflect its stability and sustainability.Through these differentiated settings of color, shape, and material, different types of data models can be clearly and intuitively distinguished, enabling users to quickly identify and understand the characteristics of various types of accounting data in a virtual environment. In terms of coding, a unified and easily identifiable coding system is adopted in the industry. For field definitions, the meaning, value range, and relationship with other fields of each field are clearly defined, ensuring that the data meets the stringent requirements of subsequent in-depth analysis, display, and storage processes in all dimensions, including structure, coding, and field definitions. The 3D modeling and scene construction module uses 3D modeling technology to transform accounting data into 3D models based on preprocessed data, constructing virtual accounting data display scenes, and assigning different colors, shapes, and materials to different types of data models. Through high-speed and stable wireless connection technology, it seamlessly connects to professional-grade virtual reality devices, thereby smoothly realizing in-depth interaction between users and highly realistic virtual display scenes. Users can move freely and flexibly in lifelike virtual reality scenes by holding high-precision virtual reality controllers. They can move closer to the data model to view details or move further away to control the overall data layout. They can also easily zoom in and out of the data model, switch from a macro perspective to a micro perspective, and gain a comprehensive understanding of the data characteristics. They can also easily rotate the data model to examine the data presentation from various angles. Furthermore, users can leverage advanced voice recognition technology to quickly query specific data information using concise and clear voice commands. For example, inputting "query sales data for the past three months" will instantly locate and display the corresponding data, greatly improving data acquisition efficiency. The virtual reality interaction module connects to virtual reality devices, enabling users to interact with the virtual display scene. Users can move, zoom, and rotate data models in the virtual scene using a controller, and can also query specific data information using voice commands. The data correlation analysis module automatically analyzes the correlation between different accounting data and presents it in a visual way in the virtual scene, such as displaying related data and the degree of correlation. The data update and synchronization module monitors changes in the accounting information system data in real time. When new data is generated or existing data is updated, the system updates the data in a timely manner to ensure the real-time nature of the data in the virtual display scene. The system uses cutting-edge and mature data analysis algorithms. With its powerful computing capabilities and intelligent logic, it can automatically and extremely accurately conduct in-depth analysis of various complex and diverse accounting data, uncovering the intricate correlations between them. This correlation is broad, encompassing not only the rigorous and crucial interrelationships between asset, liability, and owner's equity data in financial statements—such as how the composition of assets depends on the ratio of liabilities to owner's equity, and their dynamic changes in different accounting periods—but also the subtle interrelationships between cost, revenue, and profit data across different business segments and time periods. For example, in a specific quarter, the extent to which an increase in costs in a particular business segment impacts its revenue and profit, and the combined effect of coordinated changes in costs and revenues among different business segments on overall profit.Furthermore, the system presents the results of these in-depth analyses in a highly immersive virtual environment using extremely intuitive and vivid visualizations. Through meticulously designed dynamic charts, such as line graphs that change over time to compare the trends of revenue and costs; by clearly marking the logical connections between different data nodes with lines, the transmission path between data becomes immediately apparent; and by using color differentiation—warm colors representing strongly correlated data and cool colors representing weakly correlated data—the system clearly displays the specific values ​​of related data and the degree of close or loose correlation between them. This allows users to easily understand the economic logic and business patterns hidden behind accounting data without complex interpretations, thus providing strong data support for financial decision-making and business optimization. Utilizing advanced real-time monitoring technology, by deploying high-precision monitoring modules in the underlying architecture of the accounting information system, the system continuously and comprehensively monitors data changes within the system. This monitoring process covers all operational stages, including data entry, modification, and deletion, ensuring that the entire process from data source to final storage is under strict monitoring. Once the system detects new data generation or updates to existing data using sophisticated algorithms and sensitive triggers—whether it's a minor adjustment to a data field or a large-scale batch update—it immediately triggers an efficient data update mechanism. This mechanism, based on optimized multi-threaded processing technology and high-speed data transmission channels, synchronizes these changes to the system as quickly as possible, ensuring that data within the virtual display scenario remains real-time. This allows users to access the latest and most accurate accounting data at any time, whether for routine office work or urgent financial analysis, providing timely and reliable data support for decision-making.

[0023] As a preferred technical solution, the data acquisition and preprocessing module utilizes data interface technology to periodically collect data from mainstream accounting information systems. A written data cleaning script removes noise and errors, and the data is then converted and stored according to a unified format standard. Employing advanced and repeatedly tested and optimized data interface technology, it can establish stable and reliable connections with mainstream accounting information systems such as Kingdee and Yonyou. Based on a pre-set time period in the system backend, such as 2 AM daily, the system automatically triggers the data acquisition program, performing comprehensive data collection from various types of data in the accounting information systems on an automatic and scheduled basis. After the collection process is complete, the system immediately calls a carefully written data cleaning script. This script uses complex algorithms and rigorous rules to perform in-depth analysis of the data from multiple dimensions. By comparing data records one by one using algorithms, noise in the data can be effectively identified and removed, such as completely duplicate records, including duplicate accounting vouchers and account details. Data with formatting errors, such as inconsistent date formats and inconsistent unit identifiers, can be precisely located and cleaned. Data that deviates significantly from the normal range, such as huge numerical deviations that would not occur in normal business operations, or data with abnormal orders of magnitude, can be effectively identified and eliminated. After completing this crucial data cleaning step, the cleaned data is standardized and converted in strict accordance with the nationally unified accounting data format standards, using professional data conversion tools and technologies. During the conversion process, the data encoding rules, field definitions, and data types are uniformly adjusted to ensure data consistency and readability, allowing data from different sources to be presented in a unified standard. Subsequently, through an efficient data transmission mechanism, the converted data is stored in a specially constructed high-performance database with fast read / write and high-concurrency processing capabilities, so that the subsequent system can respond quickly when it needs to access and process data, ensuring the smooth operation of all functions of the electronic accounting archive data display system based on virtual reality devices.

[0024] As a preferred technical solution, the 3D modeling and scene construction module uses professional 3D modeling software to create 3D data models based on data characteristics and display requirements, and sets appropriate lighting, materials, and background effects to create a realistic display environment. It utilizes highly regarded and powerful professional 3D modeling software such as 3ds Max and Maya. 3ds Max, with its excellent polygon modeling capabilities and rich plugin resources, is widely used in film and television special effects, game development, and other fields; Maya, with its powerful animation production and rendering capabilities, has become the first choice for many large-scale projects. When creating 3D data models, it is necessary to deeply analyze the characteristics of the data. For data types, it is necessary to distinguish whether it is numerical, textual, or image data; regarding data structure, it is necessary to clarify whether it is a hierarchical structure, a network structure, or other complex structures; regarding data volume, it is necessary to determine the size of the data—whether small data volumes are easier to process precisely, or whether large data volumes require consideration of algorithm optimization. At the same time, the display requirements must be fully considered. If the purpose of the presentation is to highlight data comparisons, the model should be built to present the comparative data in an intuitive and distinctive way, such as using different colors, sizes, or shapes. If the goal is to demonstrate trend changes, a dynamic model can be used to show how data changes over time or with other variables. If the aim is to highlight the details of data distribution, the model should be built more meticulously to accurately represent the distribution of data in different areas. Based on these in-depth analysis results, a three-dimensional data model should be carefully constructed, starting with the basic points, lines, and surfaces, and gradually refining the model details to ensure that the model can accurately and intuitively present the data. Furthermore, appropriate lighting effects need to be carefully set, simulating natural light according to the presentation scene, such as the soft warm light of early morning, the strong direct light of midday, or artificial light, such as stage spotlights and indoor ambient light. By cleverly adjusting the intensity, angle, and color of the light sources, the three-dimensionality and depth of the model can be enhanced, allowing every detail of the model to be clearly displayed under suitable lighting. By meticulously adjusting material properties and employing professional material editing tools, parameters such as diffuse reflection, specular highlight, and roughness are modified to give the model surface a variety of textures, such as the cold, hard sheen of metal, the smooth texture of plastic, and the natural grain of wood, thereby enhancing visual realism. Background effects are also cleverly designed, selecting backgrounds that complement the data presentation theme. For a clean and clear presentation that highlights the data, simple solid-color backgrounds can be used, such as a white background to create a pure and clear visual experience, or a black background to emphasize the mystery and technological feel of the data. To create a specific atmosphere, textured backgrounds with a technological feel can be chosen, such as circuit line textures or starry sky textures, comprehensively creating a realistic display environment that allows users to experience the charm of the data as if they were actually there.

[0025] As a preferred technical solution, the virtual reality interaction module connects the virtual reality device to the system. Data transmission and interactive control are achieved through device drivers, while interactive logic code is written to enable interaction between the controller and the virtual scene data model. Voice recognition technology is integrated to provide voice command query functionality. First, advanced and professional connection technologies are employed, such as wired connections based on high-speed data transmission protocols, coupled with high-quality data cables with anti-interference capabilities, to stably connect the high-performance virtual reality device to the electronic accounting archive data display system based on the virtual reality device. Utilizing a thoroughly tested and carefully adapted device driver, leveraging its optimized data processing algorithms and efficient communication mechanisms, efficient and stable data transmission and precise interactive control are achieved. Real-time monitoring of data transmission status and feedback mechanisms ensure that the system can receive various instructions and information transmitted by the virtual reality device accurately and in real time, capturing even subtle action commands and complex device status information without error. Subsequently, a significant amount of professional programming effort is invested, with an experienced development team using cutting-edge programming frameworks and design patterns to write rigorous and scientific interactive logic code. During the code development process, the response priority and smoothness of different operations were fully considered to achieve efficient interactive responses between various operations of the virtual reality controller, such as clicking, sliding, and rotating, and the electronic accounting archive data model constructed in the virtual scene. Through optimization of the virtual scene rendering engine and improvements to the data model loading and updating mechanism, users can intuitively and conveniently view, filter, and analyze archive data using controller operations. For example, when filtering data, the controller's sliding operation can quickly scroll the data list and display a dynamic preview of the filtering results in real time. Furthermore, deep integration of speech recognition technology, using an industry-leading speech recognition engine, has built a complete speech command recognition and parsing module. Through training on a large number of accounting terms and commonly used query statements, the accuracy and adaptability of speech recognition have been improved. This enables the function of quickly querying electronic accounting archive data via voice commands. Users only need to say commands such as "Query financial statements for [specific year]," and the system can respond quickly, completing speech recognition, command parsing, and data query within milliseconds, and displaying the corresponding data content in a clear and intuitive way, greatly improving the efficiency and convenience of data querying.

[0026] As a preferred technical solution, the data correlation analysis module employs data mining algorithms to perform correlation analysis on accounting data. Algorithm programs are written to calculate the correlation degree between different data types, and based on this correlation degree, related data models are connected in a virtual scene using lines of varying thickness and color. The system utilizes advanced data mining algorithms, such as the classic Apriori algorithm or the efficient FP-Growth algorithm. These algorithms have been proven in the field of big data analytics and possess powerful data processing capabilities. Leveraging these algorithms, the system conducts in-depth correlation analysis on massive amounts of accounting data. Through carefully written algorithm programs, using complex mathematical models and rigorous logical rules, it accurately calculates different types of data, such as asset and liability data, revenue and expenditure details, and cost accounting data. During the calculation process, various factors, including the time dimension and business category of the data, are fully considered to ensure the accuracy and reliability of the calculated data correlation degree. Based on the calculated correlation degree results, the results are presented in a highly recognizable visualization within the virtual scene. Specifically, lines of varying thickness are used to represent the strength of the correlation; thicker lines indicate a stronger correlation, allowing users to intuitively understand the closeness of the data at a glance. Different colored lines are used to distinguish different types of correlations. For example, red lines represent a strong positive correlation, meaning the two data points show a highly consistent trend, while blue lines represent a weak negative correlation, indicating a certain degree of inverse relationship. These lines precisely connect relevant data models, enabling users to intuitively and clearly understand the complex internal relationships between accounting data, providing strong data support for financial analysis and decision-making.

[0027] As a preferred technical solution, the data update and synchronization module, through scheduled tasks, retrieves the latest data from the accounting information system at regular intervals, compares it with existing data, and promptly updates the 3D data model and virtual scene for newly added or updated data. By carefully setting scheduled tasks, the system can automatically and accurately retrieve the latest financial data from a stable accounting information system at pre-defined time intervals, such as every hour. After data acquisition, a data comparison program is quickly initiated, meticulously comparing the newly acquired data with existing data in the system field by field and record by record. Once new data is identified during the comparison process, such as new accounting voucher entries, the latest financial statement generation, or updates to existing data, such as adjustments to account amounts or corrections to transaction times, the system immediately triggers the update mechanism, updating the 3D data model and corresponding virtual scene promptly and accurately, ensuring that the virtual display always presents the most real-time and accurate accounting archive data.

[0028] As a preferred technical solution, the system also has a user permission management module, which can assign different data viewing and operation permissions according to different user roles to ensure data security and confidentiality.

[0029] As a preferred technical solution, the 3D modeling and scene construction module can also adaptively adjust the layout of the virtual scene and the display method of the data model based on the user's historical viewing preferences and usage habits. This module possesses powerful intelligent learning capabilities, enabling it to collect and deeply analyze the user's historical viewing preferences in real time, such as frequently viewed accounting data categories, key data dimensions, and preferred data viewing periods. Simultaneously, it accurately captures the user's operational habits during use, such as commonly used interaction methods, data switching frequency, and scene zoom preferences. Based on these detailed and accurate analysis results, the module can adaptively adjust the layout of the virtual scene, for example, rearranging the data display board positions in the scene according to the user's preferred data display order; and optimizing the layout of interactive elements in the scene based on the user's habitual operation methods. Furthermore, the display method of the data model can also be specifically optimized based on the analysis results. For example, for data dimensions that users are interested in, more intuitive and eye-catching visualization effects, such as 3D bar charts and dynamic line charts, can be used to improve the user's understanding and insight into the data.

[0030] As a preferred technical solution, the data correlation analysis module can also combine time series analysis to predict the changing trends of accounting data and display the prediction results in the form of dynamic charts in a virtual scenario. The system is meticulously equipped with a powerful and detailed user permission management module. This module relies on an advanced permission allocation algorithm to accurately identify and differentiate different user roles, such as financial managers, general accountants, and auditors. Financial managers are granted comprehensive data viewing permissions, covering detailed information on various accounting archives, and key operational permissions, including editing and reviewing important data, and exporting some sensitive data. General accountants are assigned relatively limited data viewing permissions, only able to view accounting data related to their work, and their operational permissions are limited to basic operations such as daily data entry and simple modifications. Auditors have specific data viewing permissions, allowing them to view all financial data from an audit perspective, with operational permissions mainly including data verification and marking suspicious points. Through such precise and differentiated permission allocation, the security and confidentiality of data are comprehensively ensured, effectively preventing data leakage and unauthorized illegal operations.

[0031] As a preferred technical solution, this system can interface with other business systems within an enterprise to achieve integrated display of accounting and business data, providing more comprehensive data support for enterprise decision-making. The system possesses powerful data interaction capabilities, enabling efficient data integration with existing core business systems such as supply chain management systems and customer relationship management systems through standardized data interfaces and advanced data transmission protocols. After integration, the system can deeply integrate and correlate the acquired accounting and business data, thereby achieving an intuitive and clear display of the two. Whether through data visualization charts, dynamic reports, or 3D presentations in virtual reality scenarios, it allows enterprise decision-makers to gain a comprehensive and multi-faceted understanding of the information behind the data, providing more comprehensive, accurate, and reliable data support for key decision-making processes such as strategic planning, market expansion, and cost control.

[0032] The specific working principle is as follows: Through a self-developed high-efficiency data interface, compatible with various accounting information systems, it automatically collects data. Using complex data cleaning algorithms, it removes noise, duplicate values, and erroneous records. Then, according to data standards, it performs format conversion and standardization processing to meet the requirements of subsequent processing. The pre-processed data is then transformed into a 3D model according to a predetermined algorithm. When constructing the virtual scene, different colors, shapes, and materials are assigned to the model based on data type for differentiation. Using professional 3D modeling software, based on data characteristics and display needs, a data model is created, and lighting, materials, and background effects are set to create a realistic display environment. Wireless connection technology connects the virtual reality device to the system, and device drivers are used to realize data transmission and interactive control. Interactive logic code is written to realize the interactive response between the controller operation and the virtual scene data model. Integrated voice recognition technology allows users to query specific data information through voice commands, and the system responds quickly to display the information. Cutting-edge data analysis algorithms are used to uncover the correlations between accounting data, covering the relevance of financial statements and the impact of business data. In the virtual environment, dynamic charts, lines, and color differentiation visually present data relationships, providing decision support for users. A monitoring module is deployed at the bottom layer of the accounting information system to monitor data changes in real time. Once new data or data updates are received, an efficient update mechanism is triggered. Based on multi-threaded processing and high-speed transmission channels, data is synchronized to the system, ensuring the real-time accuracy of virtual scene data. The user access control module assigns different permissions based on user roles, ensuring data security. The 3D modeling and scene construction module adaptively adjusts the scene layout and data display method according to user historical preferences and operating habits. The data correlation analysis module combines time series analysis to predict data trends and displays them in dynamic charts. The system can also interface with other enterprise business systems to integrate and display accounting and business data, providing comprehensive support for decision-making.

[0033] Although embodiments of the invention have been shown and described, it will be understood by those skilled in the art that various changes, modifications, substitutions and alterations can be made to these embodiments without departing from the principles and spirit of the invention, the scope of which is defined by the appended claims and their equivalents.

Claims

1. An electronic accounting record data display system based on virtual reality equipment, characterized in that: The system includes: a data acquisition and preprocessing module, used to collect electronic accounting archive data from various accounting information systems, clean, transform, and standardize the collected data to meet subsequent processing requirements; a 3D modeling and scene construction module, which, based on the preprocessed data, uses 3D modeling technology to transform accounting data into 3D models, constructs virtual accounting data display scenes, and assigns different colors, shapes, and materials to different types of data models; a virtual reality interaction module, which connects to virtual reality devices to enable users to interact with the virtual display scene. Users can move, zoom, and rotate data models in the virtual scene using a controller, and can also query specific data information through voice commands; a data correlation analysis module, which automatically analyzes the correlation between different accounting data and presents it in a visual way in the virtual scene, such as displaying related data and the degree of correlation; and a data update and synchronization module, which monitors changes in accounting information system data in real time, and updates the data in the system in a timely manner when new data is generated or existing data is updated, ensuring the real-time nature of the virtual display scene data.

2. The electronic accounting archive data display system based on virtual reality equipment according to claim 1, characterized in that: The data acquisition and preprocessing module uses data interface technology to collect data from mainstream accounting information systems on a regular basis. It removes noise and erroneous data through a written data cleaning script and converts and stores the data according to a unified format standard.

3. The electronic accounting archive data display system based on virtual reality equipment according to claim 1, characterized in that: The 3D modeling and scene construction module uses professional 3D modeling software to create 3D data models based on data characteristics and display requirements, and sets appropriate lighting, materials and background effects to create a realistic display environment.

4. The electronic accounting archive data display system based on virtual reality equipment according to claim 1, characterized in that: The virtual reality interaction module connects virtual reality devices to the system, realizes data transmission and interactive control through device drivers, writes interactive logic code to realize the interaction response between the controller operation and the virtual scene data model, and integrates speech recognition technology to realize the voice command query function.

5. The electronic accounting archive data display system based on virtual reality equipment according to claim 1, characterized in that: Data Association Analysis Module: This module uses data mining algorithms to perform association analysis on accounting data, writes algorithm programs to calculate the degree of association between different data, and connects related data models in a virtual scene with lines of different thicknesses and colors based on the degree of association.

6. The electronic accounting archive data display system based on virtual reality equipment according to claim 1, characterized in that: The data update and synchronization module retrieves the latest data from the accounting information system at regular intervals by setting scheduled tasks, compares it with existing data, and updates the 3D data model and virtual scene in a timely manner for newly added or updated data.

7. The electronic accounting archive data display system based on virtual reality equipment according to claim 1, characterized in that: The system also has a user access control module, which can assign different data viewing and operation permissions according to different user roles to ensure data security and confidentiality.

8. The electronic accounting archive data display system based on virtual reality equipment according to claim 1, characterized in that: The 3D modeling and scene building module can also adaptively adjust the layout of the virtual scene and the display method of the data model according to the user's historical viewing preferences and usage habits.

9. The electronic accounting archive data display system based on virtual reality equipment according to claim 1, characterized in that: The data correlation analysis module can also combine time series analysis to predict the changing trends of accounting data and display the prediction results in the form of dynamic charts in a virtual scene.

10. The electronic accounting archive data display system based on virtual reality equipment according to claim 1, characterized in that: This system can interface with other business systems of an enterprise to achieve integrated display of accounting data and business data, providing more comprehensive data support for enterprise decision-making.