Block chain-based meta-universe multi-element interconnection processing method and system

Abstract

The invention discloses a blockchain-based meta-universe multi-element interconnection processing method, which comprises the following steps of S1, evaluating a current network condition, and collecting network data; s2, summarizing a large amount of data into one, uploading the data to a main chain, and packaging under-chain processing into batch processing to the main chain; s3, dividing the block chain into a plurality of small blocks, wherein each block independently processes transactions and data; s4, then selecting a proper hybrid consensus mechanism, and configuring a hybrid consensus algorithm; according to the invention, through asynchronous processing and parallel computing, the transaction processing speed and the block generation efficiency are greatly improved, the system delay can be better and obviously reduced, and the optimized protocol and automatic monitoring can be dynamically adjusted according to the real-time network state and the node resources, so that the resources are ensured to be most effectively distributed, overload and waste are avoided, and the system performance is improved. Meanwhile, an automatic monitoring and dynamic adjusting mechanism can detect and cope with network bottlenecks, node faults or attack risks in real time, and stability and continuity are kept.

Description

Technical Field

[0001] The present invention relates to the field of blockchain technology, and specifically to a blockchain-based metaverse multi-interconnection processing method and system. Background Art

[0002] The blockchain metaverse is a digital world that combines blockchain technology with the concept of the metaverse, aiming to achieve a decentralized, transparent, and trustworthy virtual environment. The metaverse itself is a digital world built by technologies such as virtual reality (VR), augmented reality (AR), artificial intelligence (AI), and blockchain. The addition of blockchain gives the metaverse stronger security, asset management, and decentralization.

[0003] However, in the current blockchain metaverse multi-interconnection processing process, due to the large amount of information processing and excessive throughput, network congestion occurs, thus affecting processing speed and efficiency. Summary of the Invention

[0004] The present invention provides a blockchain-based metaverse multi-interconnection processing method and system, which can effectively solve the problem raised in the above background technology that in the current blockchain metaverse multi-interconnection processing process, due to the large amount of information processing and excessive throughput, network congestion occurs, thereby affecting the processing speed and efficiency.

[0005] To achieve the above objectives, the present invention provides the following technical solution: a blockchain-based metaverse multi-interconnection processing method, comprising the following steps:

[0006] S1. Evaluate the current network status and collect network data;

[0007] S2, then aggregates a large amount of data into one and uploads it to the main chain, packaging the off-chain processing into batches for processing on the main chain;

[0008] S3, divide the blockchain into multiple small blocks, each of which processes transactions and data independently;

[0009] S4. Then select a suitable hybrid consensus mechanism and configure the hybrid consensus algorithm;

[0010] S5: After the algorithm is completed, asynchronous processing and parallel computing are performed to optimize the network architecture and load balancing;

[0011] S6. Finally, perform protocol optimization, implement automated monitoring and dynamic adjustment.

[0012] According to the above technical solution, S1 collects real-time performance data about the network, including throughput, latency, and bandwidth usage;

[0013] At the same time, various indicators of blockchain nodes are collected, such as block generation time, transaction confirmation time, and processing throughput. Log analysis is also performed, and special records are made for delays in transaction processing.

[0014] Then, transactions, block generation, consensus processes, etc. in the blockchain network are monitored in real time, and performance data of each node is captured, including computing resource utilization and response time.

[0015] According to the above technical solution, the performance data evaluates the connection quality of the network, including the number of connections between nodes and the data transmission rate. By analyzing the P2P network connectivity of the nodes, it is found out which nodes have fewer connections or slower transmission speeds, resulting in transaction confirmation delays. Then, the performance of each node in the blockchain network is evaluated to determine whether any node has excessive resource consumption or insufficient performance, thereby affecting the throughput of the entire network.

[0016] According to the above technical solution, during the network assessment, it is ensured that the network has not been attacked by distributed denial of service or other types of malicious attacks that cause network congestion or reduced throughput, and vulnerability scanning is performed on the blockchain network protocol to ensure that the network has no security vulnerabilities.

[0017] According to the above technical solution, S2 regularly packages these off-chain transactions into aggregated transactions. These aggregated transactions include the summary data of multiple off-chain transactions and contain sufficient proof information to ensure their legitimacy and consistency. The summary data includes all transactions and operations processed off-chain, but the main chain only needs to store the summary of the batch transaction and some proof information.

[0018] At the same time, the batch data is encrypted and signed to ensure the validity and integrity of the data. The signature is controlled by the off-chain system, and all operations are signed by the private key of the system;

[0019] The signing process usually uses hash value encryption, that is, calculating the hash value of the entire batch of data and signing it with a private key;

[0020] Once the data is uploaded to the main chain, the smart contract will update the relevant status or perform storage operations.

[0021] According to the above technical solution, the number of blocks in S3 is set according to factors such as network scale, transaction requirements, and performance targets;

[0022] The size of each block can be dynamically adjusted based on factors such as the node's computing power and storage capacity, determining how many blocks the entire blockchain network will be divided into. Each block should be able to run independently and process a portion of transactions.

[0023] Use a random algorithm to select shard nodes to prevent malicious attackers from controlling a single block;

[0024] And perform cross-shard verification, and verify cross-shard transactions through all network nodes.

[0025] According to the above technical solution, S4 defines the goal and selects the appropriate consensus algorithm for different throughput and security requirements. Then, different levels of consensus mechanisms are used to handle different tasks, and the consensus mechanism is automatically switched according to the network status and load.

[0026] According to the nature of different tasks, different consensus mechanisms are assigned to different levels. Each level focuses on a specific task and is handled by a suitable consensus algorithm.

[0027] According to the above technical solution, the asynchronous processing in S5 allows different consensus algorithms to work in parallel;

[0028] At the same time, parallel computing is used to split computing tasks and assign them to multiple nodes or computing units for execution;

[0029] Network architecture optimization reduces data transmission delay and bandwidth consumption by improving P2P network topology design and enhancing data synchronization and broadcast mechanisms. Load balancing dynamically adjusts task allocation based on network status and node resources to avoid node overload and improve overall processing capabilities.

[0030] According to the above technical solution, the optimized protocol in S6 includes improvements to the blockchain communication protocol, consensus mechanism algorithm and data transmission format;

[0031] Automated monitoring monitors the network's health, transaction load, node resources, and consensus efficiency in real time, identifying bottlenecks, failures, or attack risks.

[0032] Based on these monitoring data, the dynamic adjustment mechanism can automatically adjust the selection of consensus algorithms, load distribution and resource allocation strategies, and optimize task processing according to network load and node status.

[0033] According to the above technical solution, a blockchain-based metaverse multi-interconnected processing system and a system based on a blockchain-based metaverse multi-interconnected processing method.

[0034] Compared with the existing technology, the beneficial effects of the present invention are as follows: the structure of the present invention is scientific and reasonable, and it is safe and convenient to use. Through asynchronous processing and parallel computing, the transaction processing speed and block generation efficiency are greatly improved, and the system delay can be significantly reduced. Secondly, the optimized protocol and automatic monitoring can be dynamically adjusted according to the real-time network status and node resources to ensure that resources are allocated most effectively and avoid overload and waste. At the same time, the automatic monitoring and dynamic adjustment mechanism can detect and respond to network bottlenecks, node failures or attack risks in real time, maintain stability and continuity, and better resist attacks and reduce system vulnerabilities. At the same time, load balancing and distributed computing enhance the system's fault tolerance and risk resistance, and can maintain efficient operation when processing a large number of transactions, adapting to blockchain applications of different scales and needs, and automatically adjusting the configuration and optimizing performance according to changes in network load and node resources, thereby improving the overall processing speed in the blockchain, avoiding information congestion and improper information processing, and being suitable for better promotion and use. BRIEF DESCRIPTION OF THE DRAWINGS

[0035] The accompanying drawings are used to provide further understanding of the present invention and constitute a part of the specification. They are used to explain the present invention together with the embodiments of the present invention and do not constitute a limitation of the present invention.

[0036] In the attached figure:

[0037] Figure 1 It is a schematic diagram of the structure of the method steps of the present invention. DETAILED DESCRIPTION

[0038] The preferred embodiments of the present invention are described below with reference to the accompanying drawings. It should be understood that the preferred embodiments described herein are only used to illustrate and explain the present invention, and are not used to limit the present invention.

[0039] Example: Figure 1 As shown, the present invention provides a technical solution, a blockchain-based metaverse multi-interconnection processing method, comprising the following steps:

[0040] S1. Evaluate the current network status and collect network data;

[0041] S2, then aggregates a large amount of data into one and uploads it to the main chain, packaging the off-chain processing into batches for processing on the main chain;

[0042] S3, divide the blockchain into multiple small blocks, each of which processes transactions and data independently;

[0043] S4. Then select a suitable hybrid consensus mechanism and configure the hybrid consensus algorithm;

[0044] S5: After the algorithm is completed, asynchronous processing and parallel computing are performed to optimize the network architecture and load balancing;

[0045] S6. Finally, perform protocol optimization, implement automated monitoring and dynamic adjustment.

[0046] According to the above technical solution, S1 collects real-time performance data about the network, including throughput, latency, and bandwidth usage, to fully understand the network status;

[0047] At the same time, various indicators of blockchain nodes are collected, such as block generation time, transaction confirmation time, and processing throughput. Log analysis is also performed to help identify system bottlenecks and to make special records of delays in transaction processing.

[0048] Then, transactions, block generation, consensus processes, etc. in the blockchain network are monitored in real time, and performance data of each node is captured, including computing resource utilization and response time.

[0049] According to the above technical solution, the performance data evaluates the connection quality of the network, including the number of connections between nodes and the data transmission rate. By analyzing the P2P network connectivity of the nodes, it is found out which nodes have fewer connections or slower transmission speeds, resulting in transaction confirmation delays. Then, the performance of each node in the blockchain network is evaluated to determine whether any node has excessive resource consumption or insufficient performance, thereby affecting the throughput of the entire network.

[0050] According to the above technical solution, during the network assessment, it is ensured that the network has not been attacked by distributed denial of service or other types of malicious attacks, which may cause network congestion or reduced throughput. Vulnerability scanning is performed on the blockchain network protocol to ensure that the network has no security vulnerabilities and avoid protocol attacks that may lead to performance degradation.

[0051] According to the above technical solution, S2 regularly packages these off-chain transactions into aggregated transactions. These aggregated transactions include the summary data of multiple off-chain transactions and contain sufficient proof information to ensure their legitimacy and consistency. The summary data includes all transactions and operations processed off-chain, but the main chain only needs to store the summary of the batch transaction and some proof information, which greatly reduces the burden on the main chain.

[0052] At the same time, the batch data is encrypted and signed to ensure the validity and integrity of the data. The signature is controlled by the off-chain system, and all operations are signed by the private key of the system;

[0053] The signing process usually uses hash value encryption, that is, calculating the hash value of the entire batch of data and signing it with a private key, which can effectively ensure that the data is not tampered with during transmission;

[0054] Once the data is uploaded to the main chain, the smart contract will update the relevant status or perform storage operations to ensure that the data in the blockchain remains consistent with the data off the chain.

[0055] According to the above technical solution, the number of blocks in S3 is set based on factors such as network scale, transaction demand, and performance targets;

[0056] The size of each block can be dynamically adjusted based on factors such as the node's computing power and storage capacity, determining how many blocks the entire blockchain network will be divided into. Each block should be able to run independently and process a portion of transactions.

[0057] Use a random algorithm to select shard nodes to prevent malicious attackers from controlling a single block;

[0058] Cross-shard verification is also performed, and cross-shard transactions are verified by all network nodes to ensure that malicious attacks are discovered in a timely manner.

[0059] According to the above technical solution, S4 clearly defines the goal and selects the appropriate consensus algorithm for different throughput and security requirements. Then, different levels of consensus mechanisms are used to handle different tasks, and the consensus mechanism is automatically switched according to the network status and load.

[0060] According to the nature of different tasks, different consensus mechanisms are assigned to different levels. Each level focuses on a specific task and is handled by a suitable consensus algorithm.

[0061] According to the above technical solution, asynchronous processing in S5 allows different consensus algorithms to work in parallel, avoiding synchronization blocking between tasks and improving system throughput and response speed;

[0062] At the same time, parallel computing is used to split computing tasks and assign them to multiple nodes or computing units for execution, thereby speeding up the block generation and transaction verification process;

[0063] Network architecture optimization reduces data transmission delays and bandwidth consumption by improving P2P network topology design and enhancing data synchronization and broadcast mechanisms, ensuring efficient network operation. Load balancing dynamically adjusts task allocation based on network status and node resources to avoid node overload and improve overall processing capabilities. With the combination of these optimization technologies, the blockchain system can maintain high throughput, low latency and strong security under high transaction volumes and complex task loads, while maximizing resource utilization efficiency.

[0064] According to the above technical solution, the optimized protocol design in S6 can reduce the computational complexity and data transmission volume during the consensus process, thereby accelerating block verification and transaction confirmation;

[0065] Optimizing the protocol includes improvements to the blockchain communication protocol, consensus mechanism algorithm, and data transmission format to make it more efficient and low-latency;

[0066] In addition, the implementation of an automated monitoring system can monitor the network's health, transaction load, node resources, and consensus efficiency in real time, promptly identifying bottlenecks, failures, or attack risks to ensure stable system operation.

[0067] Based on this monitoring data, the dynamic adjustment mechanism can automatically adjust the consensus algorithm selection, load distribution, and resource allocation strategies to optimize task processing according to network load and node status. For example, when the network load is high, it will automatically switch to more efficient PoS or BFT protocols, while when node resources are sufficient, it will choose PoW to improve decentralization.

[0068] These measures ensure that the blockchain maintains optimal performance and security in different environments by adaptively adjusting system parameters and configurations, avoiding bottlenecks and waste of resources.

[0069] According to the above technical solution, a blockchain-based metaverse multi-interconnected processing system and a system based on a blockchain-based metaverse multi-interconnected processing method.

[0070] The structure of the present invention is scientific and reasonable, safe and convenient to use. Through asynchronous processing and parallel computing, it greatly improves the transaction processing speed and block generation efficiency, and can significantly reduce system latency. Secondly, the optimized protocol and automated monitoring can be dynamically adjusted according to the real-time network status and node resources to ensure that resources are allocated most effectively and avoid overload and waste. At the same time, the automated monitoring and dynamic adjustment mechanism can detect and respond to network bottlenecks, node failures or attack risks in real time, maintain stability and continuity, and better resist attacks and reduce system vulnerabilities. At the same time, load balancing and distributed computing enhance the system's fault tolerance and risk resistance, and can maintain efficient operation when processing a large number of transactions, adapt to blockchain applications of different scales and needs, and automatically adjust the configuration and optimize performance according to changes in network load and node resources.

[0071] Finally, it should be noted that the above description is merely a preferred embodiment of the present invention and is not intended to limit the present invention. Although the present invention has been described in detail with reference to the aforementioned embodiments, those skilled in the art will be able to modify the technical solutions described in the aforementioned embodiments or substitute equivalents for some of the technical features. Any modifications, equivalent substitutions, and improvements made within the spirit and principles of the present invention shall be included within the scope of protection of the present invention.

Claims

1. A blockchain-based metaverse multi-interconnection processing method, characterized by: The steps include: S1. Evaluate the current network status and collect network data; S2, then aggregates a large amount of data into one and uploads it to the main chain, packaging the off-chain processing into batches for processing on the main chain; S3, divide the blockchain into multiple small blocks, each of which processes transactions and data independently; S4. Then select a suitable hybrid consensus mechanism and configure the hybrid consensus algorithm; S5: After the algorithm is completed, asynchronous processing and parallel computing are performed to optimize the network architecture and load balancing; S6. Finally, perform protocol optimization, implement automated monitoring and dynamic adjustment.

2. The blockchain-based metaverse multi-interconnection processing method according to claim 1 is characterized in that: S1 collects real-time performance data about the network, including throughput, latency, and bandwidth usage; At the same time, various indicators of blockchain nodes are collected, such as block generation time, transaction confirmation time, and processing throughput. Log analysis is also performed, and special records are made for delays in transaction processing. Then, transactions, block generation, consensus processes, etc. in the blockchain network are monitored in real time, and performance data of each node is captured, including computing resource utilization and response time.

3. The blockchain-based metaverse multi-interconnection processing method according to claim 2 is characterized in that: The performance data evaluates the network's connection quality, including the number of connections between nodes and the data transmission rate. By analyzing the P2P network connectivity of the nodes, we can identify which nodes have fewer connections or slower transmission speeds, resulting in delayed transaction confirmation. We then evaluate the performance of each node in the blockchain network to determine whether any node has excessive resource consumption or insufficient performance, thereby affecting the throughput of the entire network.

4. The blockchain-based metaverse multi-interconnection processing method according to claim 3 is characterized in that: The network assessment ensures that the network has not been subjected to distributed denial of service attacks or other types of malicious attacks that cause network congestion or reduced throughput, and performs vulnerability scans on the blockchain network's protocols to ensure that the network has no security vulnerabilities.

5. The blockchain-based metaverse multi-interconnection processing method according to claim 1 is characterized in that: S2 periodically packages these off-chain transactions into aggregated transactions. These aggregated transactions include summary data of multiple off-chain transactions and contain sufficient proof information to ensure their legitimacy and consistency. The summary data includes all transactions and operations processed off-chain, but the main chain only needs to store the summary of the batch transaction and some proof information. At the same time, the batch data is encrypted and signed to ensure the validity and integrity of the data. The signature is controlled by the off-chain system, and all operations are signed by the private key of the system; The signing process usually uses hash value encryption, that is, calculating the hash value of the entire batch of data and signing it with a private key; Once the data is uploaded to the main chain, the smart contract will update the relevant status or perform storage operations.

6. The blockchain-based metaverse multi-interconnection processing method according to claim 1 is characterized in that: In S3, the number of blocks is set based on factors such as network scale, transaction requirements, and performance targets; The size of each block can be dynamically adjusted based on factors such as the node's computing power and storage capacity, determining how many blocks the entire blockchain network will be divided into. Each block should be able to run independently and process a portion of transactions. Use a random algorithm to select shard nodes to prevent malicious attackers from controlling a single block; And perform cross-shard verification, and verify cross-shard transactions through all network nodes.

7. The blockchain-based metaverse multi-interconnection processing method according to claim 1 is characterized in that: S4 defines the goal and selects appropriate consensus algorithms for different throughput and security requirements. Then, different levels of consensus mechanisms are used to handle different tasks, and consensus mechanisms are automatically switched based on network status and load. According to the nature of different tasks, different consensus mechanisms are assigned to different levels. Each level focuses on a specific task and is handled by a suitable consensus algorithm.

8. The blockchain-based metaverse multi-interconnection processing method according to claim 1 is characterized in that: The asynchronous processing in S5 allows different consensus algorithms to work in parallel; At the same time, parallel computing is used to split computing tasks and assign them to multiple nodes or computing units for execution; Network architecture optimization reduces data transmission delay and bandwidth consumption by improving P2P network topology design and enhancing data synchronization and broadcast mechanisms. Load balancing dynamically adjusts task allocation based on network status and node resources to avoid node overload and improve overall processing capabilities.

9. The blockchain-based metaverse multi-interconnection processing method according to claim 1 is characterized in that: The optimized protocol in S6 includes improvements to the blockchain communication protocol, consensus mechanism algorithm, and data transmission format; Automated monitoring monitors the network's health, transaction load, node resources, and consensus efficiency in real time, identifying bottlenecks, failures, or attack risks. Based on these monitoring data, the dynamic adjustment mechanism can automatically adjust the selection of consensus algorithms, load distribution and resource allocation strategies, and optimize task processing according to network load and node status.

10. The blockchain-based metaverse multi-interconnected processing system is characterized by: A system for a blockchain-based metaverse multi-interconnection processing method according to any one of claims 1 to 9.

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