Neural Consensus Proof Module for Blockchain Energy Reduction
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Solution Overview
Problem
Existing blockchain networks face inefficiencies and resource wastage due to their reliance on Proof-of-Work (PoW) and Proof-of-Stake (PoS) consensus methods, leading to centralization issues and high energy consumption, while transitioning to new consensus methods is challenging for already established networks.
Innovation Solution
A neural consensus proof module cluster is introduced to convert existing non-random consensus proof-based blockchain networks into random consensus proof-based networks, allowing for efficient and fair distributed consensus processes without relying on PoW or PoS, thereby maintaining infrastructure and reducing resource waste.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If Proof-of-Work (PoW) or Proof-of-Stake (PoS) consensus methods are used, then blockchain networks can maintain security and decentralization, but they cause high energy consumption and centralization issues
Solution Approach 1:
The patent changes the fundamental parameter of consensus mechanism from PoW/PoS to Neural Consensus Proof (NCP). The neural network model processes transaction data and generates consensus decisions through learned patterns, replacing the energy-intensive cryptographic computations of PoW and the stake-based selection of PoS, thereby significantly reducing energy consumption while maintaining security and decentralization properties
2Reliability
If Proof-of-Work (PoW) or Proof-of-Stake (PoS) consensus methods are used, then blockchain networks can ensure block generation and transaction validation, but they lead to resource wastage and centralization
Solution Approach 1:
The patent introduces Neural Consensus Proof as a new parameter in the blockchain consensus mechanism. The neural network model processes transaction data and generates consensus decisions through learned patterns, replacing the energy-intensive cryptographic computations of PoW and the stake-based selection of PoS, thereby significantly reducing energy consumption while maintaining security and decentralization properties
Solution Approach 2:
The patent replaces the mechanical/cryptographic systems of PoW (hashing computations) and PoS (stake validation) with a neural network-based system. The neural network processes transaction data through learned patterns and generates consensus decisions, substituting the traditional mechanical verification processes with an intelligent system that reduces computational resource wastage
3Ease of manufacture
If existing non-random consensus proof-based blockchain networks are used, then infrastructure is already established, but transitioning to new consensus methods is challenging
Solution Approach 1:
The patent designs the Neural Consensus Proof module to be universally compatible with existing blockchain infrastructure. The NCP module can operate within established PoW/PoS networks and also function in standalone NCP networks, providing multi-functionality that facilitates smooth transition while maintaining infrastructure compatibility
Solution Approach 2:
The patent implements a dynamic consensus mechanism that can adapt between different operating modes. The system can switch between neural consensus proof mode and traditional PoW/PoS mode based on network conditions and configuration, providing flexibility that eases transition from existing infrastructure to the new consensus method
Data Source
AI summary
A blockchain network platform system according to an embodiment of the present invention comprises: a non-random consensus proof-based blockchain network; and a neural consensus proof module cluster for generating a new block, combined with random-consensus proof-based neural consensus validity verification data, by using block data propagated from the non-random consensus proof-based blockchain network, wherein the new block is propagated through the non-random consensus proof-based blockchain network.