Intelligent Node Transfer Engine for Distributed Register Consensus

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Solution Overview

Problem

In distributed register network systems, particularly with private distributed registers where user nodes are spread across multiple locations and countries, immediate responses from each node are challenging, leading to delays in transaction completion, which is unacceptable in many scenarios.

Innovation Solution

The system collects user activity data from IoT devices and non-IoT applications to identify user availability and dynamically routes transactions to nodes that can complete them without delay, using an intelligent node data transfer engine and AI data aggregator engine to generate user data routing configurations and schemas for real-time consensus and posting.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Adaptability or versatility

If users are spread across multiple locations and countries for distributed register nodes, then system coverage and availability are improved, but transaction response time and completion speed deteriorate

Engineering Contradiction:

Improvesystem coverageVSAvoidtransaction response time

Core Design Contradiction:

Adaptability or versatilityVSLoss of time

Solution Approach 1:

The system performs preliminary actions by collecting user activity data from IoT devices and applications in advance, storing it in a database, and using machine learning to predict user availability before transactions occur. This allows the system to proactively identify available users rather than waiting for transaction requests, thereby reducing response time while maintaining global distribution.

Inventive Principle:

Principle #10Preliminary action

Solution Approach 2:

The patent replaces the mechanical system of direct user notification and waiting for response with an automated intelligence-based system. The intelligent node data transfer engine uses AI algorithms to analyze predicted user availability, automatically generate routing configurations, and dynamically route transactions to the most appropriate available users, eliminating manual intervention delays.

Inventive Principle:

Principle #28Mechanics substitution (Replace mechanical system)

2Adaptability or versatility

If traditional transaction routing methods are used with geographically distributed nodes, then system decentralization is maintained, but transaction completion speed and immediate response capability deteriorate

Engineering Contradiction:

Improvesystem decentralizationVSAvoidtransaction completion speed

Core Design Contradiction:

Adaptability or versatilityVSProductivity

Solution Approach 1:

The system implements dynamic transaction routing by continuously analyzing real-time user activity data from IoT devices and applications. The intelligent node data transfer engine dynamically generates routing configurations based on current user availability predictions, allowing the system to adapt transaction paths dynamically rather than using static routing methods, thereby improving completion speed while maintaining decentralization.

Inventive Principle:

Principle #15Dynamics

Solution Approach 2:

The patent introduces an intermediary component - the intelligent node data transfer engine with AI data aggregation capabilities - that mediates between transaction requests and distributed users. This intermediary collects data from multiple sources, predicts user availability, and intelligently routes transactions, acting as a smart coordinator that maintains system decentralization while enabling faster transaction completion.

Inventive Principle:

Principle #24Intermediary (Mediator)

3Measurement precision

If user availability prediction based on historical data is used, then transaction routing accuracy is improved, but system complexity and data processing requirements worsen

Engineering Contradiction:

Improveuser availability prediction accuracyVSAvoidsystem complexity

Core Design Contradiction:

Measurement precisionVSDevice complexity

Solution Approach 1:

The system achieves multi-functionality by using a single database infrastructure that serves both as a storage repository for user activity data and as a training dataset for machine learning models. The same data collection mechanisms serve both historical analysis and real-time prediction purposes, reducing overall system complexity while maintaining high prediction accuracy through multiple uses of the same data assets.

Inventive Principle:

Principle #6Universality (Multi-functionality)

Data Source

PatentUS11258850B2Distributed register intelligent node transfer engine

Publication Date: 2022.02.22 BANK OF AMERICA CORP

AI summary

Embodiments of the invention are directed to an architecture modifier for intelligent node transfer and review processing. The engine collects user activity data from IoT devices and non-IoT applications to identify user activity and stores user workstation availability metrics. Upon receiving a request for review and consensus, the engine develops various user data routing configuration and schema based on live data feed for identification of nodes for transaction consensus and immediate review posting without any delay architectural delay.