Blockchain-based multi-class rwa management system and method

Abstract

The application provides a multi-category RWA management system and method based on a blockchain, wherein a preset configuration management module is used to acquire data information of mainstream blockchains and specific category blockchains, the data information is sent to an automatic deployment module for one-stop automatic deployment, a self-developed test intelligent contract module performs corresponding tests according to a preset test mechanism, and test results are sent to a data collection and analysis module to automatically generate visual charts, related data of physical assets on each chain are collected at regular intervals for effectiveness analysis, an entity asset analysis module automatically maintains and updates an entity asset analysis model, and price analysis is performed according to analysis results and the updated model to generate corresponding visual charts for display to users. The application is compatible with mainstream blockchains, can customize specific category chains, supports deployment, configuration and calling of multi-category RWA blockchains in the whole process, and improves work efficiency and quality.

Description

Technical Field

[0001] This invention relates to the field of blockchain technology, and more specifically, to a blockchain-based multi-category RWA management system and method. Background Technology

[0002] RWA, or Real World Asset, encompasses several categories, including cash (USD), metals (gold, silver, etc.), real estate, bonds (mostly US Treasury bonds), insurance, consumer goods, credit notes, and royalties. RWA tokenization is the process of converting tangible assets into digital tokens or NFTs, enabling them to be traded on the blockchain. This opens up new possibilities for investors and bridges the gap between the traditional and digital economies. RWAs have the potential to offer relatively stable and sustainable returns, independent of the crypto market. This makes them a highly attractive option for investors seeking diversified portfolios. The power of RWA tokenization lies in releasing liquidity, allowing funds to flow freely from traditional markets into the crypto space, enhancing the potential value of DeFi, and opening up new investment opportunities. The magical process of RWA tokenization includes several subcategories such as professional L1, tokenization, and regulatory services. Together, they weave a seamless and legally compliant narrative of asset tokenization. Simultaneously, asset providers are emerging, driving development by creating and meeting the demand for RWAs in areas such as real estate, climate assets, private / public fixed income, emerging markets, and trade finance. Tokenizing real estate assets enables partial ownership, allowing investors to own a percentage of real estate assets, increasing accessibility, and democratizing the investment process. RWA tokenization works its magic in global markets, eliminating geographical barriers and enabling assets to cross the world. Smart contracts play a crucial role in RWA tokenization, ensuring secure, conflict-free transactions without third-party intervention. RWA tokenization achieves portfolio diversification and risk mitigation, allowing investors to simultaneously own multiple assets. With RWA acting as a catalyst, it lays the foundation for the next massive DeFi bull run as on-chain capital seeks sustainable and secure yield opportunities. In short, RWA tokenization has enormous potential to reshape the DeFi space and bring value to both cryptocurrency and traditional markets.

[0003] Therefore, contract testing and asset monitoring for multiple RWA types are essential. However, existing technologies lack specific scenario analysis and testing for RWA, and there are risks such as the inability to monitor RWA asset value fluctuations in real time when they reach thresholds.

[0004] In summary, the market needs a blockchain-based multi-category RWA management system and method that can support the visualization of blockchain deployment, testing, monitoring, and evaluation for multiple categories of RWAs. Summary of the Invention

[0005] In view of the shortcomings of the existing technology, the purpose of this invention is to provide a blockchain-based multi-category RWA management system and method.

[0006] According to the present invention, a blockchain-based multi-category RWA management system includes: a preset configuration management module, an automated deployment module, a self-developed test smart contract module, a data collection and analysis module, and a physical asset analysis module;

[0007] The preset configuration management module obtains data information on mainstream blockchains and specific types of blockchains, and sends the data information to the automated deployment module for one-stop automated deployment.

[0008] The self-developed test smart contract module performs corresponding tests according to the preset test mechanism and sends the test results to the data collection and analysis module to automatically generate visual charts;

[0009] The data collection and analysis module periodically collects relevant data on physical assets on each chain, performs validity analysis on the relevant data, and sends the corresponding analysis results to the physical asset analysis module for automatic maintenance and updating of the physical asset analysis model. Based on the analysis results and the updated physical asset analysis model, the module performs price analysis and generates corresponding visual charts to be displayed to the user.

[0010] Preferably, the preset configuration management module is used to customize the configuration information of mainstream blockchains and specific types of blockchains, and the configuration information includes addresses and accounts.

[0011] Preferably, the self-developed test smart contract module includes a pre-built test mechanism and a test execution plan;

[0012] The testing mechanism includes corresponding testing strategies, which include interface testing, performance testing, and RWA testing; each testing strategy corresponds to a specific test scenario, and the test scenario includes the interface URL, input parameters, and data driver file related to the current scenario.

[0013] The test execution plan includes timer startup time and exception handling.

[0014] Preferably, the self-developed test smart contract module determines whether the current pre-set test mechanism includes an RWA test strategy. If so, RWA special scenario testing is performed; otherwise, targeted testing is performed on each chain and its corresponding smart contract.

[0015] The targeted testing includes a self-developed test smart contract module that starts a timer at a specified time according to the test execution plan. The timer reads the preset test mechanism and performs corresponding tests according to the corresponding test strategy and test scenario.

[0016] Preferably, the data collection and analysis module automatically generates visual charts and sends emails to users to alert them based on the final results of the price analysis for objects whose prices are below the threshold for physical assets.

[0017] A blockchain-based multi-category RWA management method according to the aforementioned blockchain-based multi-category RWA management system includes:

[0018] Step S1: The preset configuration management module obtains data information of mainstream blockchains and specific types of blockchains, and sends the data information to the automated deployment module for one-stop automated deployment;

[0019] Step S2: The self-developed smart contract testing module conducts corresponding tests according to the preset testing mechanism and sends the test results to the data collection and analysis module to generate corresponding visualization charts;

[0020] Step S3: The data collection and analysis module periodically collects relevant data on physical assets on each chain, performs validity analysis on the relevant data, and obtains corresponding analysis results;

[0021] Step S4: The physical asset analysis module automatically maintains and updates the physical asset analysis model based on the analysis results. At the same time, the data collection and analysis module performs price analysis based on the analysis results and the updated physical asset analysis model, generating corresponding visual charts to be displayed to the user.

[0022] Preferably, the preset configuration management module is used to customize the configuration information of mainstream blockchains and specific types of blockchains, and the configuration information includes addresses and accounts.

[0023] Preferably, the self-developed test smart contract module includes a pre-built test mechanism and a test execution plan;

[0024] The testing mechanism includes corresponding testing strategies, which include interface testing, performance testing, and RWA testing; each testing strategy corresponds to a specific test scenario, and the test scenario includes the interface URL, input parameters, and data driver file related to the current scenario.

[0025] The test execution plan includes timer startup time and exception handling.

[0026] Preferably, step S2 includes:

[0027] Step S2.1: Determine whether the current preset testing mechanism includes an RWA testing strategy. If yes, perform RWA special scenario testing; otherwise, proceed to step S2.2:

[0028] Step S2.2: Conduct targeted testing on each chain and its corresponding smart contract;

[0029] The targeted testing includes a self-developed test smart contract module that starts a timer at a specified time according to the test execution plan. The timer reads the preset test mechanism and performs corresponding tests according to the corresponding test strategy and test scenario.

[0030] Preferably, the data collection and analysis module automatically generates visual charts and sends emails to users to alert them based on the final results of the price analysis for objects whose prices are below the threshold for physical assets.

[0031] Step S4 includes:

[0032] Step S4.1: Obtain data on physical assets;

[0033] Step S4.2: Analyze the data of the physical assets based on the pre-set physical asset analysis model;

[0034] Step S4.3: Based on the analysis results, automatically maintain and update the effective range data of physical asset analysis to the physical asset analysis model within the preset range of the physical asset analysis model.

[0035] Compared with the prior art, the present invention has the following beneficial effects:

[0036] 1. This invention is based on the secondary development of the Ansible tool, is compatible with mainstream blockchains, and can customize the configuration of specific types of chains. It supports the deployment, configuration and invocation of blockchains of multiple types of RWA throughout the process, improving work efficiency and quality.

[0037] 2. This invention uses a self-developed smart contract testing module that is compatible with common smart contract language types. Based on the pre-set testing mechanism, it can not only test smart contracts of various chains, but also test special scenarios for RWA.

[0038] 3. This invention uses a reliable physical asset analysis model and collected physical asset data to periodically analyze RWA assets on the blockchain and automatically maintain and update the physical asset analysis model, thereby enabling real-time monitoring of whether the value fluctuation of physical assets reaches a threshold in order to detect risks in a timely manner. Attached Figure Description

[0039] Other features, objects, and advantages of the present invention will become more apparent from the following detailed description of non-limiting embodiments with reference to the accompanying drawings:

[0040] Figure 1 This is a schematic diagram of the system composition structure of the present invention.

[0041] Figure 2 This is a schematic diagram of the method flow of the present invention. Detailed Implementation

[0042] The present invention will now be described in detail with reference to specific embodiments. These embodiments will help those skilled in the art to further understand the present invention, but do not limit the invention in any way. It should be noted that those skilled in the art can make several changes and improvements without departing from the concept of the present invention. These all fall within the scope of protection of the present invention.

[0043] Example 1

[0044] According to the present invention, a blockchain-based multi-category RWA management system is provided, such as... Figure 1 As shown, it includes: a preset configuration management module, an automated deployment module, a self-developed test smart contract module, a data collection and analysis module, and a physical asset analysis module.

[0045] The preset configuration management module acquires data information from mainstream blockchains and specific types of blockchains, and sends this data information to the automated deployment module for one-stop automated deployment. The preset configuration management module is used to customize the configuration information of mainstream blockchains and specific types of blockchains, including addresses, accounts, and other configuration information. The automated deployment module, through integration with a secondary-developed Ansible tool, successfully reads the customized configuration information of mainstream blockchains and specific types of blockchains from the preset configuration management module. The read customized configuration information is then substituted into the startup script parameters of the corresponding chains, and the startup scripts are automatically executed to perform one-stop automated deployment of mainstream blockchains and specific types of blockchains.

[0046] The self-developed test smart contract module performs corresponding tests according to the preset test mechanism and sends the test results to the data collection and analysis module to automatically generate visualization charts. Specifically, the self-developed test smart contract module determines whether the current preset test mechanism includes an RWA test strategy. If so, it performs RWA-specific scenario testing; otherwise, it performs targeted testing on each chain and its corresponding smart contract. This targeted testing includes the self-developed test smart contract module starting a timer at a specified time according to the test execution plan. The timer reads the preset test mechanism and performs corresponding tests according to the corresponding test strategy and test scenario.

[0047] The self-developed smart contract testing module includes pre-built testing mechanisms and test execution plans. The testing mechanisms include corresponding testing strategies, such as interface testing, performance testing, and RWA testing. Each testing strategy corresponds to a specific test scenario, which includes the interface URL, input parameters, and data-driven file relevant to the current scenario. The test execution plan includes timer start times and exception handling.

[0048] The data collection and analysis module periodically collects relevant data on physical assets across various blockchains, performs validity analysis on this data, and sends the corresponding analysis results to the physical asset analysis module for automatic maintenance and updating of the physical asset analysis model. Based on the analysis results and the updated physical asset analysis model, the module performs price analysis and generates corresponding visual charts for display to the user. Specifically, the physical asset analysis module uses a pre-set physical asset analysis model as a basis and the acquired physical asset data as its foundation. It analyzes the physical asset data to obtain various range values ​​and compares these range values ​​with the corresponding basic data in the physical asset analysis model. Within the allowed fluctuation range of the physical asset analysis model (default 5%, configurable), the module automatically maintains and updates the valid range data of the physical asset analysis model. The data collection and analysis processing module, based on the updated physical asset analysis model, performs price analysis on the collected data using pre-set price calculation formulas within the model and automatically generates visual charts to display on the page. Furthermore, based on the final price analysis results, the data collection and analysis processing module automatically generates visual charts for objects whose prices are below a certain threshold and sends an email alert to the user at a configured email address.

[0049] This invention aims to enable contract testing and asset monitoring that only supports multiple types of RWAs.

[0050] Example 2

[0051] A blockchain-based multi-category RWA management method according to the aforementioned blockchain-based multi-category RWA management system, such as Figure 2 As shown, it includes:

[0052] Step S1: The preset configuration management module acquires data information from mainstream blockchains and specific types of blockchains, and sends this data information to the automated deployment module for one-stop automated deployment. The preset configuration management module is used to customize the configuration information for mainstream blockchains and specific types of blockchains, including addresses, accounts, and other configuration information. The automated deployment module, through the integration of a secondary-developed Ansible tool, reads the customized configuration information of mainstream blockchains and specific types of blockchains from the preset configuration management module, substitutes the read customized configuration information into the corresponding chain's startup script parameters, and automatically executes the startup script to perform one-stop automated deployment of mainstream blockchains and specific types of blockchains.

[0053] Step S2: The self-developed test smart contract module performs corresponding tests according to the preset test mechanism, sends the test results to the data collection and analysis module to generate corresponding visualization charts, and sends emails to the configured email address. The self-developed test smart contract module includes preset test mechanisms and test execution plans. The test mechanism includes corresponding test strategies, including interface testing, performance testing, and RWA testing; each test strategy corresponds to a specific test scenario, which includes the interface URL, input parameters, and data-driven file related to the current scenario. The test execution plan includes timer start time and exception handling. Specifically, step S2 includes:

[0054] Step S2.1: Determine whether the current preset test mechanism includes RWA test strategy. If yes, perform RWA special scenario test; if no, proceed to step S2.2.

[0055] Step S2.2: Perform targeted testing on each chain and its corresponding smart contract. The targeted testing includes a self-developed test smart contract module that, according to the test execution plan, starts a timer at a specified time. The timer reads a preset test mechanism and performs corresponding tests based on the corresponding test strategy and test scenario.

[0056] Step S3: The data collection and analysis module periodically collects relevant data on physical assets on each chain, performs validity analysis on the relevant data, and obtains corresponding analysis results.

[0057] Step S4: The physical asset analysis module automatically maintains and updates the physical asset analysis model based on the analysis results. Simultaneously, the data collection and analysis module performs price analysis using the price calculation formula in the updated physical asset analysis model, generating corresponding visual charts to display to the user. Further, based on the final price analysis results, the data collection and analysis module automatically generates visual charts for objects with prices below the physical asset price threshold and sends email alerts to the user. Specifically, step S4 includes:

[0058] Step S4.1: Obtain data on physical assets.

[0059] Step S4.2: Analyze the data of the physical assets based on the pre-set physical asset analysis model.

[0060] Step S4.3: Based on the analysis results, automatically maintain and update the effective range data of physical asset analysis to the physical asset analysis model within the preset range of the physical asset analysis model.

[0061] Those skilled in the art will understand that, in addition to implementing the system, apparatus, and their modules provided by this invention in purely computer-readable program code, the same program can be implemented in the form of logic gates, switches, application-specific integrated circuits, programmable logic controllers, and embedded microcontrollers by logically programming the method steps. Therefore, the system, apparatus, and their modules provided by this invention can be considered a hardware component, and the modules included therein for implementing various programs can also be considered structures within the hardware component; alternatively, modules for implementing various functions can be considered both software programs implementing the method and structures within the hardware component.

[0062] Specific embodiments of the present invention have been described above. It should be understood that the present invention is not limited to the specific embodiments described above, and those skilled in the art can make various changes or modifications within the scope of the claims, which do not affect the essence of the present invention. Unless otherwise specified, the embodiments and features described in this application can be arbitrarily combined with each other.

Claims

1. A blockchain-based multi-category RWA management system, characterized in that, include: The system includes a pre-configured configuration management module, an automated deployment module, a self-developed smart contract testing module, a data collection and analysis module, and a physical asset analysis module. The preset configuration management module obtains data information on mainstream blockchains and specific types of blockchains, and sends the data information to the automated deployment module for one-stop automated deployment. The self-developed test smart contract module performs corresponding tests according to the preset test mechanism and sends the test results to the data collection and analysis module to automatically generate visual charts; The data collection and analysis module periodically collects relevant data of physical assets on each chain, performs validity analysis on the relevant data, and sends the corresponding analysis results to the physical asset analysis module for automatic maintenance and updating of the physical asset analysis model. Based on the analysis results and the updated physical asset analysis model, the module performs price analysis and generates corresponding visual charts to be displayed to the user. The self-developed test smart contract module includes a pre-built test mechanism and test execution plan; The testing mechanism includes corresponding testing strategies, which include interface testing, performance testing, and RWA testing; each testing strategy corresponds to a specific test scenario, and the test scenario includes the interface URL, input parameters, and data driver file related to the current scenario. The test execution plan includes timer startup time and exception handling; The self-developed smart contract testing module determines whether the current pre-built testing mechanism includes RWA testing strategies. If so, it performs RWA-specific scenario testing; otherwise, it performs targeted testing on each chain and its corresponding smart contract. The targeted testing includes a self-developed test smart contract module that starts a timer at a specified time according to the test execution plan. The timer reads the preset test mechanism and performs corresponding tests according to the corresponding test strategy and test scenario. The physical asset analysis module is based on a pre-set physical asset analysis model and uses the acquired physical asset data as a basis. By analyzing the physical asset data, it obtains the range values ​​of the data and compares the range values ​​with the basic data corresponding to the physical asset analysis model. Within the allowable fluctuation range of the physical asset analysis model, the effective range data of the physical asset analysis is automatically maintained and updated to the physical asset analysis model.

2. The blockchain-based multi-category RWA management system according to claim 1, characterized in that, The preset configuration management module is used to customize the configuration information of mainstream blockchains and specific types of blockchains. The configuration information includes addresses and accounts.

3. The blockchain-based multi-category RWA management system according to claim 1, characterized in that, Based on the final results of price analysis, the data collection and analysis module automatically generates visual charts for objects whose prices are below the threshold for physical assets and sends emails to users as alerts.

4. A blockchain-based multi-category RWA management method for a blockchain-based multi-category RWA management system according to any one of claims 1 to 3, characterized in that, include: Step S1: The preset configuration management module obtains data information of mainstream blockchains and specific types of blockchains, and sends the data information to the automated deployment module for one-stop automated deployment; Step S2: The self-developed smart contract testing module conducts corresponding tests according to the preset testing mechanism and sends the test results to the data collection and analysis module to generate corresponding visualization charts; Step S3: The data collection and analysis module periodically collects relevant data on physical assets on each chain, performs validity analysis on the relevant data, and obtains corresponding analysis results; Step S4: The physical asset analysis module automatically maintains and updates the physical asset analysis model based on the analysis results. At the same time, the data collection and analysis module performs price analysis based on the analysis results and the updated physical asset analysis model, generating corresponding visual charts to be displayed to the user.

5. The blockchain-based multi-category RWA management method according to claim 4, characterized in that, The preset configuration management module is used to customize the configuration information of mainstream blockchains and specific types of blockchains. The configuration information includes addresses and accounts.

6. The blockchain-based multi-category RWA management method according to claim 4, characterized in that, The self-developed test smart contract module includes a pre-built test mechanism and test execution plan; The testing mechanism includes corresponding testing strategies, which include interface testing, performance testing, and RWA testing; each testing strategy corresponds to a specific test scenario, and the test scenario includes the interface URL, input parameters, and data driver file related to the current scenario. The test execution plan includes timer startup time and exception handling.

7. The blockchain-based multi-category RWA management method according to claim 6, characterized in that, Step S2 includes: Step S2.1: Determine whether the current preset testing mechanism includes an RWA testing strategy. If yes, perform RWA special scenario testing; otherwise, proceed to step S2.2: Step S2.2: Conduct targeted testing on each chain and its corresponding smart contract; The targeted testing includes a self-developed test smart contract module that starts a timer at a specified time according to the test execution plan. The timer reads the preset test mechanism and performs corresponding tests according to the corresponding test strategy and test scenario.

8. The blockchain-based multi-category RWA management method according to claim 4, characterized in that, Based on the final results of the price analysis, the data collection and analysis module automatically generates visual charts for objects whose prices are below the threshold for physical assets and sends emails to users as alerts. Step S4 includes: Step S4.1: Obtain data on physical assets; Step S4.2: Analyze the data of the physical assets based on the pre-set physical asset analysis model; Step S4.3: Based on the analysis results, automatically maintain and update the effective range data of physical asset analysis to the physical asset analysis model within the preset range of the physical asset analysis model.

Images