Adaptive Consensus Selection for Energy-Efficient Asset Transfer

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Solution Overview

Problem

Current distributed ledger systems face inefficiencies in processing asset transfer requests, requiring significant processing resources and struggling with authenticity verification, data tracking, and communication between financial institutions.

Innovation Solution

A computing platform using deep learning-based optical character recognition (OCR) to extract information from asset transfer requests, identifying optimal consensus methods for energy-efficient block validation, and integrating hybrid bagging consensus mechanisms to optimize energy consumption and facilitate seamless asset transfers across the blockchain network.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Loss of energy

If traditional consensus methods are used for distributed ledger validation, then security and reliability are maintained, but energy consumption increases and processing efficiency decreases

Engineering Contradiction:

Improveenergy consumptionVSAvoidconsensus validation reliability

Core Design Contradiction:

Loss of energyVSReliability

Solution Approach 1:

The patent applies parameter changes by dynamically adjusting consensus validation parameters based on transaction characteristics. The system evaluates multiple consensus methods (PoW, PoS, PoA, PoI, PoC, PoB) and selects optimal validation parameters for each transaction type, transitioning from fixed-parameter consensus to adaptive parameter selection, thereby reducing energy consumption while maintaining reliability

Inventive Principle:

Principle #35Parameter changes

Solution Approach 2:

The system implements dynamics by making the consensus validation process adaptive and flexible. Instead of using a static consensus method for all transactions, the system dynamically selects from multiple consensus methods based on real-time transaction characteristics, network conditions, and energy constraints, enabling the distributed ledger to respond optimally to varying operational requirements

Inventive Principle:

Principle #15Dynamics

2Loss of energy

If multiple consensus methods are evaluated for each transaction, then optimal energy efficiency is achieved, but processing time increases

Engineering Contradiction:

Improveenergy consumptionVSAvoidconsensus selection time

Core Design Contradiction:

Loss of energyVSLoss of time

Solution Approach 1:

The patent applies preliminary action by pre-evaluating and caching consensus method performance characteristics during system initialization or idle periods. The system prepares consensus selection criteria and thresholds in advance, so when a transaction arrives, the optimal consensus method can be selected quickly by comparing against pre-computed parameters rather than evaluating all methods from scratch

Inventive Principle:

Principle #10Preliminary action

Solution Approach 2:

The system implements segmentation by dividing the consensus selection process into distinct stages: transaction classification, consensus method filtering, and final selection. This segmented approach processes only relevant consensus methods for each transaction type rather than evaluating all methods uniformly, reducing the time overhead while maintaining energy optimization

Inventive Principle:

Principle #1Segmentation

3Measurement precision

If deep learning-based OCR is used to extract information from asset transfer requests, then data accuracy improves, but processing complexity increases

Engineering Contradiction:

Improvedata extraction accuracyVSAvoidprocessing system complexity

Core Design Contradiction:

Measurement precisionVSDevice complexity

Solution Approach 1:

The patent applies mechanics substitution by replacing traditional manual or rule-based information extraction methods with deep learning-based optical character recognition (OCR). The system uses neural networks to automatically extract and validate transaction details from various document formats, substituting complex manual verification processes with automated AI-driven recognition, thereby improving accuracy while managing complexity through algorithmic automation

Inventive Principle:

Principle #28Mechanics substitution (Replace mechanical system)

Data Source

PatentUS11790336B2Intelligent distributed ledger consent optimizing apparatus for asset transfer

Publication Date: 2023.10.17 BANK OF AMERICA CORP

AI summary

Aspects of the disclosure relate to processing asset transfers. A computing platform may receive an asset transfer request and extract information from it. The computing platform may modify a distributed ledger to include a new block corresponding to the asset transfer request. The computing platform may identify a consensus method by identifying, for each of a plurality of consensus methods, a subset of blocks from the distributed ledger that, when used to execute the corresponding consensus method, result in a lowest energy consumption value in comparison to remaining subsets of blocks. The computing platform may execute each consensus method using the corresponding identified subset of blocks, which may result in establishing consensus to process the asset transfer request. Based on establishing the consensus, the computing platform may direct an event processing platform to process the asset transfer request, which may cause the event processing platform to process the request accordingly.