Camping copyright trading platform terminal with digital region classification

Abstract

The invention relates to the technical field of copyright transaction, and discloses a main-operation copyright transaction platform terminal with digital region classification, which comprises the following architecture: a user interface layer used for interacting with a user, providing an operation interface to receive a user instruction and feeding back a processing result to the user; according to the main-operation copyright transaction platform terminal with the digital area classification, a digital area classification module formulates classification rules according to copyright types, transaction activeness and other factors through a classification rule formulating unit, and classifies copyright information in real time by using big data analysis and an artificial intelligence algorithm in cooperation with a classification implementation mechanism unit; according to the copyright management system, the copyright information can be managed in order, a user can quickly position the needed copyright and greatly shorten the search time by means of the functions of a search box, a classification catalog and the like of the area display and navigation unit, and meanwhile, the data processing layer carries out digital processing on the copyright information, classifies the copyright information according to rules and is responsible for information collection and management.

Description

Technical Field

[0001] The present invention relates to the technical field of copyright transactions, and particularly to a main copyright trading platform terminal with digital area classification. Background Art

[0002] At present, with the booming development of the knowledge economy, copyright, as an important intangible asset, has increasingly frequent trading activities. Globally, in many fields such as the cultural and creative industries, software R & D industries, and film and television media industries, the dependence on copyright is constantly deepening, driving the continuous expansion of the copyright trading market scale. There are some problems and defects in traditional copyright trading platforms, including but not limited to: In traditional copyright transactions, there is a lack of information management chaos for all copyrights. A large amount of copyright information lacks effective classification and sorting, making it difficult for users to quickly find the required copyright resources. Moreover, the existing copyright trading process is cumbersome, involving complex procedures and manual review links, resulting in low trading efficiency. Additionally, problems such as copyright information leakage and trading fraud are prone to occur in traditional trading processes.

[0003] In view of the above problems, there is an urgent need for innovative design based on the original copyright transactions. Summary of the Invention

[0004] The purpose of the present invention is to provide a main copyright trading platform terminal with digital area classification, so as to solve the problems mentioned in the above background art, namely, in traditional copyright transactions, there is a lack of information management chaos for all copyrights, it is difficult for users to quickly find the required copyright resources, and the existing copyright trading process is cumbersome.

[0005] To achieve the above purpose, the present invention provides the following technical solutions: A main copyright trading platform terminal with digital area classification includes the following architectures: The user interface layer is used to interact with users, provide an operation interface to accept user instructions, and feedback the processing results to users; The business logic layer is connected to the user interface layer and is responsible for processing business rules such as copyright trading processes, digital area classification logics, and user permission management. It receives requests from the user interface layer, calls data processing layer interfaces to obtain or process data, and returns the processing results to the user interface layer. Inside the business logic layer, through data connections, a digital area classification module, a copyright trading module, a user management module, and a copyright information management module are implemented to process copyright transactions; The data processing layer is connected to the business logic layer, undertakes tasks such as data processing, conversion, and analysis, digitally processes copyright information and classifies it according to the set area classification rules, provides data support for the business logic layer, and realizes information collection and management of registered copyrights; The data storage layer is used to store various types of data of the platform, including copyright information, user information, transaction records, etc., and uses distributed database technology to ensure the security, reliability, and scalability of the data; The platform terminal mainly consists of a user interface layer, a business logic layer, a data processing layer, and a data storage layer, as well as a digital area classification module, a copyright trading module, a user management module, and a copyright information management module.

[0006] By adopting the above technical solution, rapid classification of a large number of copyrights is achieved, facilitating the digitization of copyright transactions.

[0007] Preferably, the data processing layer reads the data information of the data storage layer, and the data processing layer feeds back the processed data to the data storage layer, and the data processing layer provides data for the business logic layer and data for the user interface layer.

[0008] By adopting the above technical solution, the facilitation of copyright transactions is achieved through the mutual association and connection between each layer within the architecture.

[0009] Preferably, the platform terminal is connected to user devices through the Internet, and supports the access of wired networks and wireless networks. The SSL / TLS encryption protocol is used to encrypt and transmit data, and a load balancer is deployed to distribute user requests to multiple server nodes.

[0010] By adopting the above technical solution, the facilitation of user login to the platform terminal for copyright transactions is achieved by increasing the network connection methods.

[0011] Preferably, the digital area classification module includes: A classification rule formulation unit that formulates digital area classification rules based on various factors such as the type of copyright, trading activity, industry field, and authorization scope; A classification implementation mechanism unit that uses big data analysis technology and artificial intelligence algorithms to perform real-time analysis and classification on copyright information, extracts features from newly entered copyright information and assigns it to the corresponding area, and periodically re-evaluates and classifies existing copyright information; An area display and navigation unit that visually displays each digital area in a graphical design on the user interface. Each area has a unique identifier and name, and provides navigation functions such as a search box and a classification directory to facilitate users to locate the areas of interest.

[0012] By adopting the above technical solution, the obtained copyrights are quickly classified by the digital area classification module.

[0013] Preferably, the copyright trading module includes: The transaction process design unit supports various transaction modes such as copyright transfer and licensing. Taking copyright transfer as an example, it includes the process of the copyright owner releasing copyright information, the buyer submitting a purchase intention, the two parties communicating and negotiating to sign an electronic contract, the buyer paying the money to a third-party escrow account, and the platform assisting in completing the copyright transfer procedures and paying the money to the seller. The transaction matching function unit, based on big data analysis and intelligent recommendation algorithms, automatically screens and pushes information of matching transaction objects according to the buyer's search history, browsing records, purchase preferences, as well as the characteristics and advantages of the seller's copyright. The transaction security guarantee unit uses blockchain technology to deposit the transaction contract and copyright information, introduces a third-party escrow institution to ensure the security of fund transfer, and strictly verifies the user's identity through real-name authentication, digital certificates, etc.

[0014] Adopting the above technical solution enables an efficient automated processing environment and precise matching of transaction objects in the copyright transaction process.

[0015] Preferably, the user management module includes: The user registration and login unit supports mobile phone number registration, email registration, and third-party account login methods. When registering, the user needs to fill in true and valid information and conduct real-name authentication. When logging in, a secure encrypted transmission protocol is used to protect the account password. The user permission management unit sets different permissions according to the user role and business requirements, including but not limited to that ordinary users can view copyright information, submit purchase intentions, and participate in transactions, copyright owners can also release copyright information and manage transaction records, and platform administrators have the overall management and maintenance permissions of the platform. The user feedback and customer service support unit sets up a feedback entrance on the platform and is equipped with a professional customer service team to respond to user feedback through online customer service, telephone customer service, etc.

[0016] Adopting the above technical solution, by managing the users who log in to the platform terminal, the interests of users can be protected.

[0017] Preferably, the copyright information management module includes: The copyright information input and editing unit facilitates the copyright owner to input detailed information such as copyright name, author, creation time, copyright type, authorization scope, and work introduction, and supports editing and modifying the input information. The copyright information review unit strictly reviews all input copyright information to ensure the validity of copyright certification documents, the integrity and accuracy of information. Only the information that passes the review can be released and traded. The copyright information retrieval and query unit provides functions such as keyword search, classification screening, and advanced query for users, and can query copyright information, transaction records, copyright status, etc.

[0018] With the above technical solution, by establishing a copyright information management module, it is convenient to clearly identify and verify copyright information, facilitating the rapid understanding of copyright information by both buyers and sellers.

[0019] Preferably, the big data analysis function of the transaction matching function unit analyzes copyright information, transaction data, user behavior data, etc. on the platform, and is used for digital regional classification and transaction matching functions.

[0020] With the above technical solution, through the big data analysis of the transaction matching function unit, the classification of copyright information is realized, and corresponding information prompts are provided in accordance with the information needs of buyers and sellers.

[0021] Preferably, the intelligent recommendation algorithm of the transaction matching function unit uses machine learning and deep learning algorithms to achieve intelligent recommendation and automatic classification of copyright information.

[0022] With the above technical solution, relevant information of buyers and sellers is automatically screened and matching trading objects are pushed.

[0023] Preferably, the blockchain technology of the transaction security guarantee unit includes: A copyright deposit unit that records key copyright information on the blockchain to form a unique copyright deposit, ensuring that the copyright information cannot be tampered with and is traceable; An intelligent contract unit that introduces an intelligent contract during the copyright transaction process. After the transaction parties reach an agreement and sign the contract, the contract is automatically executed according to the pre-set rules.

[0024] With the above technical solution, by ensuring the processability of copyright transactions and reducing the cumbersome procedures during transactions.

[0025] Compared with the prior art, the beneficial effects of the present invention are: The main copyright trading platform terminal with digital regional classification: 1. The digital regional classification module, through the classification rule formulation unit, formulates classification rules based on multiple factors such as copyright type and trading activity. In cooperation with the classification implementation mechanism unit, it uses big data analysis and artificial intelligence algorithms to classify copyright information in real time, enabling the orderly management of a large amount of copyright information. With the help of functions such as the search box and classification directory of the regional display and navigation unit, users can quickly locate the required copyright, significantly shortening the search time. At the same time, the data processing layer digitally processes the copyright information and classifies it according to rules, and is also responsible for information collection and management, effectively ensuring the real-time update of copyright information, solving the problem of untimely information update on traditional platforms, ensuring the accuracy of key information such as authorization status and transaction price, improving the availability of information, and providing a reliable basis for user decision-making; 2. The transaction process design unit in the copyright trading module supports multiple trading modes, realizing the full-process automation from the copyright owner's information release to the payment to the seller. This platform can shorten the trading cycle to several days, reduce cumbersome procedures, lower trading costs, improve trading efficiency, and the trading matching function unit, based on big data analysis and intelligent recommendation algorithms, automatically screens and pushes matching trading objects according to relevant information of buyers and sellers, changing the simple search and matching method of traditional platforms, meeting the personalized needs of users, increasing the probability of successful transactions, and enhancing the trading activity of the platform; 3. During the platform trading period, the transaction security guarantee unit uses the copyright deposit unit of blockchain technology to record key copyright information into the blockchain to form a unique deposit, ensuring that the copyright information cannot be tampered with and is traceable. At the same time, the data storage layer adopts distributed database technology to further ensure data security, prevent hackers from easily obtaining copyright information, avoid damage to the interests of copyright owners, and solve the hidden danger of copyright information leakage on traditional platforms; 4. The big data analysis function in the device analyzes by receiving various types of platform data, providing support for digital area classification and trading matching, and at the same time assisting in platform operation decision-making. Further, by mining information such as market trends and user demand preferences, the intelligent recommendation algorithm in the trading matching function unit uses machine learning and deep learning algorithms to achieve intelligent recommendation and automatic classification of copyright information, providing personalized services for users, improving the intelligent level of the platform, optimizing the user experience, making the platform operation strategy more scientific and reasonable, enhancing the competitiveness and profitability of the platform, and changing the situation where traditional platforms only simply statistically analyze trading data and cannot deeply insight into market dynamics. Brief Description of the Drawings

[0026] Figure 1 It is a schematic diagram of the copyright trading process of the present invention; Figure 2 It is a schematic diagram of the terminal sharing architecture of the copyright trading platform of the present invention; Figure 3 It is a schematic diagram of the association between modules of the present invention; Figure 4 It is a schematic diagram of the function design of the digital area classification module of the present invention; Figure 5 It is a schematic diagram of the function design of the copyright trading module of the present invention; Figure 6 It is a schematic diagram of the function design of the user management module of the present invention; Figure 7 It is a schematic diagram of the function design of the copyright information management module of the present invention. Detailed Embodiments

[0027] Next, the technical solutions in the embodiments of the present invention will be clearly and completely described in conjunction with the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only a part of the embodiments of the present invention, rather than all the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those of ordinary skill in the art without creative efforts shall fall within the protection scope of the present invention.

[0028] Please refer to Figures 1-7 , the present invention provides a technical solution: a main copyright trading platform terminal with digital area classification, including the following architecture: The user interface layer is used to interact with users, provide an operation interface to accept user instructions, and feedback the processing results to users; The business logic layer is connected to the user interface layer and is responsible for processing business rules such as copyright trading processes, digital area classification logics, and user permission management. It receives requests from the user interface layer, calls the data processing layer interface to obtain or process data, and returns the processing results to the user interface layer. Inside the business logic layer, through the data connection digital area classification module, copyright trading module, user management module, and copyright information management module, the processing of copyright trading is realized; The data processing layer is connected to the business logic layer and undertakes the tasks of data processing, conversion, and analysis. It digitally processes copyright information and classifies it according to the set area classification rules, provides data support for the business logic layer, and realizes the information collection and management of registered copyrights; The data storage layer is used to store various types of data of the platform, including copyright information, user information, transaction records, etc., and uses distributed database technology to ensure the security, reliability, and scalability of the data; The platform terminal mainly consists of a user interface layer, a business logic layer, a data processing layer, a data storage layer, as well as a digital area classification module, a copyright trading module, a user management module, and a copyright information management module; Combined with the Figures 1-2 shown in the specification drawings, the construction of the architecture of the platform terminal is as follows: User interface layer: Adopt responsive web design technology to ensure a consistent and friendly user experience on different devices. Use the front-end framework React.js to build an interactive interface to achieve efficient interaction with users. When designing the operation menu, use simple and clear operations to facilitate users to quickly find function entrances such as copyright trading and information query; At the same time, set up a real-time feedback mechanism. When the user submits an instruction, immediately display the loading status to let the user know the operation progress; Furthermore, a user behavior monitoring system is established to record information such as the user's operation trajectory and residence time, providing data support for subsequent user demand analysis and interface optimization; Business logic layer: Using the Java programming language and combining it with the enterprise-level development framework Spring Boot to build the core of business logic processing. For the copyright trading process, detailed business rule codes are written to ensure the standardization and accuracy of the trading process. In the copyright transfer process, for example, strict programming implementation is carried out in accordance with steps such as the copyright owner releasing information, the buyer submitting intentions, the two parties negotiating and signing contracts, and fund escrow and transfer; At the same time, data interaction interfaces between modules are established to achieve seamless docking with the digital regional classification module, copyright trading module, user management module, and copyright information management module. Through interface calls, the data required by each module is obtained, and the processing results are returned to the corresponding modules; Data processing layer: Using the big data processing framework Spark to process and analyze massive copyright data. Further, data mining algorithms are adopted to extract valuable information from copyright information, transaction data, and user behavior data, providing data support for digital regional classification and transaction matching; During matching, by analyzing the user's browsing history and purchase behavior, the user's interest preferences are mined to provide accurate user portrait data for the transaction matching function; Through data cleaning and preprocessing tools, the original data is denoised, formatted, etc. to ensure the quality and usability of the data. A data update mechanism is established to regularly obtain the latest data from the data storage layer for processing, and the processed results are fed back to the data storage layer and the business logic layer; Data storage layer: Select the distributed database system MongoDB to build a data storage platform. At the same time, according to the type and access frequency of the data, the data storage structure is reasonably designed to improve the data storage efficiency and query performance. The frequently accessed basic copyright information is stored in the in-memory database to speed up query speed; Store low-frequency access data such as historical transaction records in the distributed file system to reduce storage costs; Furthermore, establish a data backup and recovery strategy, regularly perform full backups and incremental backups of the data, and store the backup data in a remote data center to ensure the security and reliability of the data. At the same time, use data recovery tools to quickly recover the data in case of data failures to ensure the normal operation of the platform; The platform terminal is connected to the user device through the Internet and supports the access of wired and wireless networks. The SSL / TLS encryption protocol is used to encrypt the data transmission, and a load balancer is deployed to distribute user requests to multiple server nodes; Within the application formed by the platform terminal, by supporting wired and wireless network access, it greatly expands the ways for users to access the platform, provides convenience for users in different scenarios, meets diverse usage needs, enables the platform to cover a wider user group, and enhances the popularity and usage rate of the platform; Adopt the SSL / TLS encryption protocol to encrypt the data during transmission, providing a solid guarantee for the security of the data during network transmission. During the data transmission process, the encryption protocol will encrypt sensitive information such as user instructions, copyright information, and transaction data, and convert it into ciphertext for transmission. Even if the data is intercepted by a third party during transmission, without the corresponding decryption key, the third party cannot obtain the real content of the data, effectively preventing security issues such as data leakage and tampering, and protecting user privacy and the integrity of platform data; Deploy a load balancer to distribute user requests to multiple server nodes, significantly enhancing the processing capacity and response speed of the platform. When a large number of users access the platform simultaneously, the load balancer will intelligently and reasonably distribute user requests to different servers according to the real-time load conditions of each server node, avoiding the situation where a single server responds slowly or even crashes due to excessive load, ensuring that each user request can be processed in a timely manner, improving the concurrent processing capacity of the platform, and providing users with a smooth and efficient usage experience; The digital area classification module includes: A classification rule formulation unit that formulates digital area classification rules based on various factors such as the type of copyright, transaction activity, industry field, and authorization scope; A classification implementation mechanism unit that uses big data analysis technology and artificial intelligence algorithms to perform real-time analysis and classification of copyright information, extracts features of newly entered copyright information and assigns them to corresponding areas, and regularly re-evaluates and classifies existing copyright information; An area display and navigation unit that visually displays each digital area in a graphical design on the user interface. Each area has a unique identifier and name, and provides navigation functions such as a search box and classification directory to facilitate users to locate the areas of interest; Combined with the attached drawings of the specification Figures 3-4 As shown, the classification rule formulation unit: establishes a classification rule configuration platform, allowing platform administrators to flexibly set digital area classification rules according to market demands and copyright characteristics; When classifying for use, classify according to copyright types such as literature, music, and film and television; Classify according to high, medium, and low transaction activity; Classify according to industry fields such as culture and entertainment, education, and technology; Classify according to authorization scopes such as global, domestic, and specific regions; Perform combined classification according to the above classification factors, store the classification rules in the form of a configuration file or database table for easy subsequent modification and expansion. At the same time, when performing regional display and navigation units, the classified copyright information will be presented to users in an intuitive graphical design. By adding identifiers and names to each digital region, it is convenient for users to identify; Classification implementation mechanism unit: Utilize big data analysis technology and artificial intelligence algorithms to establish a copyright information classification engine. During this process, natural language processing technology is adopted to extract features from text information such as copyright work introductions, and machine learning algorithms are combined to classify copyright information; Regularly re-evaluate the existing copyright information, and automatically adjust the copyright ownership area according to factors such as changes in copyright trading activity and new industry trends; Regional display and navigation unit: On the user interface, use visualization technology to design an intuitive regional display interface, assign unique icon and color identifiers to each digital region for easy user identification; Through the search box and classification directory navigation functions, support users to quickly locate the areas of interest through keyword search, browsing according to the classification directory, etc., so that the system automatically jumps to the relevant areas of film and television copyrights and displays the popular copyright information in that area; The copyright trading module includes: Transaction process design unit, which supports various trading modes such as copyright transfer and licensing. Taking copyright transfer as an example, it includes the process of the copyright owner publishing copyright information, the buyer submitting a purchase intention, the two parties communicating and negotiating to sign an electronic contract, the buyer paying the money to a third-party escrow account, and the platform assisting in completing the copyright transfer procedures and paying the money to the seller; Transaction matching function unit, based on big data analysis and intelligent recommendation algorithms, automatically screens and pushes information on matching trading objects according to the buyer's search history, browsing records, purchase preferences, as well as the characteristics and advantages of the seller's copyright; Transaction security guarantee unit, using blockchain technology to deposit the transaction contract and copyright information, introducing a third-party escrow institution to ensure the security of fund flow, and strictly verifying the user's identity through real-name authentication, digital certificates, etc.; The big data analysis function of the transaction matching function unit receives copyright information, transaction data, user behavior data, etc. on the platform for analysis and is used for digital region classification and transaction matching functions. The intelligent recommendation algorithm of the transaction matching function unit uses machine learning and deep learning algorithms to achieve intelligent recommendation and automatic classification of copyright information. The blockchain technology in the transaction security guarantee unit includes: Copyright deposit unit, which records the key copyright information on the blockchain to form a unique copyright deposit to ensure the immutability and traceability of copyright information; Smart contract unit, which introduces smart contracts in the copyright transaction process. After the two parties to the transaction reach an agreement and sign the contract, the contract will be automatically executed according to the pre-set rules; Combined with the attached drawings of the specification Figure 3 and Figure 5 As shown, the transaction process design unit: sets up a copyright transaction process management system to achieve full-process automated management of various transaction modes such as copyright transfer and licensing; Among them, taking copyright transfer as an example, the copyright owner publishes copyright information through the platform, and the system automatically conducts format verification and preliminary review of the information; After the buyer browses the copyright information and submits a purchase intention, the system will notify the copyright owner of the buyer's information and purchase intention; The two parties negotiate through the built-in communication tool on the platform. After reaching an agreement, the system generates an electronic contract template, and the two parties sign the contract online; After the buyer pays the money to the third-party escrow account, the platform initiates the copyright transfer procedures, coordinates relevant institutions to complete the copyright transfer, and pays the money to the seller; Transaction matching function unit: Based on big data analysis and intelligent recommendation algorithms, using a transaction matching engine, by collecting data such as users' search history, browsing records, and purchase preferences, a user portrait model is constructed. At the same time, feature extraction and analysis are performed on the seller's copyright information to establish a copyright feature model; Among them, the copyright feature model selects machine learning models such as decision trees, support vector machines, and neural networks to clean the collected data, remove duplicate, incorrect, or incomplete data, perform standardization or normalization processing on the feature data, so that different features can be compared on the same scale, evaluate the trained model through the test set, and further optimize the model according to the evaluation results until the model reaches satisfactory performance indicators, thus establishing a model that can accurately reflect copyright features; Then, through the matching algorithm, the buyer's needs are accurately matched with the seller's copyright, and potential trading partners are pushed to both parties; Transaction security guarantee unit: Introduce blockchain technology, build a copyright transaction evidence storage platform, and use the immutable and traceable characteristics of the blockchain to store key data such as transaction contracts and copyright information; Cooperate with a third-party fund escrow institution, add a fund escrow interface to ensure the safe flow of transaction funds, adopt real-name authentication technology, combine means such as ID card recognition and face recognition to strictly verify the user's identity, and at the same time issue digital certificates to ensure the user's identity security and data transmission security during the transaction process; The user management module includes: User registration and login unit, which supports mobile phone number registration, email registration, and third-party account login methods. When users register, they need to fill in true and valid information and undergo real-name authentication. When logging in, a secure encryption transmission protocol is used to protect the account password; User permission management unit, which sets different permissions according to user roles and business requirements, including but not limited to that ordinary users can view copyright information, submit purchase intentions, and participate in transactions, copyright owners can also publish copyright information and manage transaction records, and platform administrators have the overall management and maintenance permissions of the platform; User feedback and customer service support unit, which sets feedback entrances on the platform and is equipped with a professional customer service team to respond to user feedback through online customer service, phone customer service, etc.

[0029] Combined with the attached drawings of the specification Figure 3 and Figure 6 As shown, the user registration and login unit: has a multi-channel registration and login system, supporting mobile phone number registration, email registration, third-party account login and other methods; When users register, they are required to fill in true and valid personal or enterprise information and undergo real-name authentication. The SHA-256 encryption technology is used to encrypt and store user passwords. When users log in, a secure HTTPS encryption transmission protocol is used to protect the security of user account passwords. At the same time, the password retrieval and modification functions are added, and the security of user accounts is ensured through mobile phone verification codes, email verification, etc.; User permission management unit: establishes a user permission management system, and sets different permissions according to user roles and business requirements. User roles include: ordinary users, copyright owners, platform administrators; Ordinary users have basic permissions such as viewing copyright information, submitting purchase intentions, and participating in transactions; In addition to the permissions of ordinary users, copyright owners also have permissions such as publishing copyright information and managing their own copyright transaction records; Platform administrators have the highest permissions and can conduct overall management and maintenance of the platform, including user information management, copyright information review, system settings, etc.; The management and allocation of user permissions are realized through a permission control list or a role-based access control model; User feedback and customer service support unit: sets multiple user feedback entrances on the platform, including but not limited to online customer service windows, opinion feedback forms, complaint mailboxes, etc.; At the same time, it is equipped with a professional customer service team to respond to user consultations and questions in real time through the online customer service system. Further, a user feedback processing process is established to classify, record, and track the processing of user feedback problems to ensure that user problems are solved in a timely manner. At the same time, user feedback data is regularly analyzed to summarize user needs and problems existing in the platform, providing a basis for the optimization and improvement of the platform The copyright information management module includes: The copyright information input and editing unit enables copyright owners to input detailed information such as copyright name, author, creation time, copyright type, authorization scope, and work introduction, and supports editing and modifying the input information; The copyright information review unit strictly reviews all input copyright information to ensure the validity of copyright certification documents, the integrity and accuracy of information. Only the information that passes the review can be published and traded; The copyright information retrieval and query unit provides functions such as keyword search, classification filtering, and advanced query for users, and can query copyright information, transaction records, copyright status, etc.

[0030] Combined with the attached drawings of the specification Figure 3 and Figure 7 As shown, the copyright information input and editing unit: Through the copyright information input tool, input detailed information such as copyright name, author, creation time, copyright type, authorization scope, and work introduction input by the copyright owner; At the same time, it supports editing and modifying the input information to ensure the accuracy and timeliness of the information. During the information input process, format verification and uniqueness verification are performed on key information to prevent duplicate input and submission of incorrect information; The copyright information review unit: Establish a copyright information review process, and professional reviewers on the platform strictly review all input copyright information. Among them, the review content includes the authenticity and validity of copyright certification documents, the integrity and accuracy of copyright information, etc.; By adopting a combination of automated review tools and manual review, improve the review efficiency and accuracy. Only the copyright information that passes the review can be officially published and traded on the platform. For the information that fails the review, the copyright owner is notified in a timely manner for modification; The copyright information retrieval and query unit: Set up a copyright information retrieval and query system, supporting multiple query methods such as keyword search, classification filtering, and advanced query; Use full-text retrieval technology to index copyright information to improve query speed and accuracy; Users can search by entering keywords such as copyright name, author name, and copyright type, and can also filter and query according to conditions such as copyright classification and transaction status. At the same time, it supports querying information such as copyright transaction records and copyright status change history, providing users with comprehensive copyright information services; The entire platform terminal builds a big data analysis platform, integrates data collection, storage, processing, and analysis tools, regularly collects copyright information, transaction data, user behavior data, etc. from various business systems of the platform, and after cleaning, transforming, and loading processing, stores them in the big data warehouse; Use data analysis tools to deeply analyze data, mine the dynamics and trends of the copyright market, and present the analysis results to platform operators in the form of reports, charts, etc., providing data support for the platform's operation decisions. At the same time, apply the analyzed data to the digital regional classification and transaction matching functions to improve the accuracy and efficiency of classification and matching, facilitating the platform operators to further adjust and maintain the platform terminal.

[0031] Although the embodiments of the present invention have been shown and described, it will be understood by those of ordinary skill in the art that various changes, modifications, substitutions, and variations can be made to these embodiments without departing from the principles and spirit of the present invention.

Claims

1. A main copyright trading platform terminal with digital area classification, characterized in that, It includes the following architecture: The user interface layer is used to interact with users, provide an operation interface to accept user instructions, and feedback the processing results to users; The business logic layer is connected to the user interface layer and is responsible for processing business rules such as copyright trading processes, digital area classification logic, and user permission management. It receives requests from the user interface layer, calls the data processing layer interface to obtain or process data, and returns the processing results to the user interface layer. Inside the business logic layer, through the data connection digital area classification module, copyright trading module, user management module, and copyright information management module, it realizes the processing of copyright trading; The data processing layer is connected to the business logic layer and undertakes the tasks of data processing, conversion, and analysis. It digitally processes copyright information and classifies it according to the set area classification rules, provides data support for the business logic layer, and realizes the information collection and management of registered copyrights; The data storage layer is used to store various types of data of the platform, including copyright information, user information, transaction records, etc. It adopts distributed database technology to ensure the security, reliability, and scalability of data; The main components of the platform terminal are the user interface layer, business logic layer, data processing layer, and data storage layer, as well as the digital area classification module, copyright trading module, user management module, and copyright information management module.

2. The terminal of the main copyright trading platform with digital area classification according to claim 1, wherein: The data processing layer reads the data information of the data storage layer, and the data processing layer feeds back the processed data to the data storage layer, and the data processing layer provides data for the business logic layer and the data of the user interface layer.

3. A main copyright trading platform terminal with digital area classification according to claim 1, characterized in that: The platform terminal is connected to user devices through the Internet, supports the access of wired and wireless networks, uses the SSL / TLS encryption protocol to encrypt data transmission, and deploys a load balancer to distribute user requests to multiple server nodes.

4. A main copyright trading platform terminal with digital area classification according to claim 1, characterized in that: The digital area classification module includes: The classification rule formulation unit formulates digital area classification rules based on various factors such as the type of copyright, trading activity, industry field, and authorization scope; The classification implementation mechanism unit uses big data analysis technology and artificial intelligence algorithms to analyze and classify copyright information in real time, extracts features from newly entered copyright information and assigns it to the corresponding area, and regularly re-evaluates and classifies existing copyright information; The area display and navigation unit visually displays each digital area in a graphical design on the user interface. Each area has a unique identifier and name, and provides navigation functions such as a search box and classification directory to facilitate users to locate the areas of interest.

5. A main copyright trading platform terminal with digital area classification according to claim 1, characterized in that: The copyright trading module includes: The trading process design unit supports various trading modes such as copyright transfer and licensing. Taking copyright transfer as an example, it includes the process of the copyright owner publishing copyright information, the buyer submitting a purchase intention, the two parties communicating and negotiating to sign an electronic contract, the buyer paying the money to the third-party escrow account, and the platform assisting in completing the copyright transfer procedures and paying the money to the seller; The trading matching function unit, based on big data analysis and intelligent recommendation algorithms, automatically screens and pushes information of matching trading objects according to the buyer's search history, browsing records, purchase preferences, and the characteristics and advantages of the seller's copyright; The transaction security guarantee unit uses blockchain technology to deposit certificates for transaction contracts and copyright information, introduces a third-party fund custody institution to ensure the security of fund transfer, and strictly verifies the user identity through real-name authentication, digital certificates, etc.

6. The terminal of the main copyright trading platform with digital area classification according to claim 1, characterized in that: The user management module includes: The user registration and login unit supports mobile phone number registration, email registration, and third-party account login methods. When registering, users need to fill in true and valid information and conduct real-name authentication. When logging in, a secure encryption transmission protocol is used to protect the account password; The user permission management unit sets different permissions according to user roles and business requirements, including but not limited to that ordinary users can view copyright information, submit purchase intentions, and participate in transactions, copyright owners can also publish copyright information and manage transaction records, and platform administrators have the overall management and maintenance permissions of the platform; The user feedback and customer service support unit sets up a feedback entry on the platform and is equipped with a professional customer service team to respond to user feedback through online customer service, phone customer service, etc.

7. A main copyright trading platform terminal with digital area classification according to claim 1, characterized in that: The copyright information management module includes: The copyright information input and editing unit facilitates copyright owners to input detailed information such as copyright name, author, creation time, copyright type, authorization scope, and work introduction, and supports editing and modifying the input information; The copyright information review unit strictly reviews all input copyright information to ensure the validity of copyright proof documents, information integrity, and accuracy. Only the information that passes the review can be published and traded; The copyright information retrieval and query unit provides functions such as keyword search, classification screening, and advanced query for users, and can query copyright information, transaction records, copyright status, etc.

8. The terminal of a main copyright trading platform with digital area classification according to claim 5, characterized in that: The big data analysis function of the transaction matching function unit receives copyright information, transaction data, user behavior data, etc. on the platform for analysis and is used for digital area classification and transaction matching functions.

9. A main copyright trading platform terminal with digital area classification according to claim 5, characterized in that: The intelligent recommendation algorithm of the transaction matching function unit uses machine learning and deep learning algorithms to achieve intelligent recommendation and automatic classification of copyright information.

10. A main copyright trading platform terminal with digital area classification according to claim 5, characterized in that: The blockchain technology in the transaction security guarantee unit includes: The copyright deposit unit records the key copyright information on the blockchain to form a unique copyright deposit, ensuring that the copyright information cannot be tampered with and is traceable; The intelligent contract unit introduces an intelligent contract in the copyright transaction process. When the two parties to the transaction reach an agreement and sign the contract, the contract will be automatically executed according to the pre-set rules.

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