Digital Twin Data Simulator for System Availability

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Solution Overview

Problem

Conventional methods for maintaining high availability in complex computer systems are costly due to the need for duplicative hardware and software, and they struggle to efficiently manage connectivity disruptions, especially in large enterprise environments with numerous interconnected systems.

Innovation Solution

A redundant technology infrastructure utilizing a physical-virtual connection with an AI engine that creates a digital twin of the primary computer system, allowing it to simulate, validate, and process tasks even when the primary system is offline by generating simulated data based on captured state information, thereby maintaining system uptime without the need for extensive duplicative hardware and software.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Reliability

If conventional redundant infrastructure (backup hardware, clustering) is implemented to maintain high availability, then system reliability is improved, but hardware costs and device complexity increase substantially

Engineering Contradiction:

Improvesystem availabilityVSAvoidhardware redundancy

Core Design Contradiction:

ReliabilityVSDevice complexity

Solution Approach 1:

The patent creates a digital twin (virtual copy) of the primary computer system that can process tasks when the primary system is unavailable. This virtual replica includes simulated hardware components, software applications, and data structures that mirror the primary system, enabling task processing during connectivity disruptions without requiring physical backup hardware

Inventive Principle:

Principle #26Copying

Solution Approach 2:

The patent replaces physical backup hardware and clustering infrastructure with a software-based digital twin system. Instead of using redundant physical servers and storage devices, the system uses virtualized components and simulated data structures to maintain operational capability during failures

Inventive Principle:

Principle #28Mechanics substitution (Replace mechanical system)

2Reliability

If duplicative computer systems are deployed to achieve 100% uptime through clustering, then system reliability is improved, but software costs and device complexity increase

Engineering Contradiction:

ImproveuptimeVSAvoidsoftware overhead

Core Design Contradiction:

ReliabilityVSDevice complexity

Solution Approach 1:

The digital twin system serves multiple functions: it acts as a backup processing system, a simulation environment, and a testing platform. The same virtualized infrastructure supports task processing, data validation, and system testing, eliminating the need for separate dedicated backup systems

Inventive Principle:

Principle #6Universality (Multi-functionality)

Solution Approach 2:

The patent combines the backup system, simulation environment, and testing infrastructure into a single digital twin platform. This consolidation integrates multiple functions into one unified system, reducing software overhead and simplifying management compared to traditional clustering approaches

Inventive Principle:

Principle #5Merging (Combining)

3Reliability

If extensive backup hardware and software are implemented to maintain high availability in complex enterprise environments, then system reliability is improved, but overall costs increase substantially

Engineering Contradiction:

Improvesystem resiliencyVSAvoidhardware resources

Core Design Contradiction:

ReliabilityVSQuantity of substance

Solution Approach 1:

The patent creates a virtual replica (digital twin) of the primary computer system that consumes minimal physical resources while providing full backup capability. The digital twin uses simulated data structures and virtualized components rather than requiring proportional physical hardware, dramatically reducing the quantity of backup resources needed

Inventive Principle:

Principle #26Copying

4Reliability

If digital twin with simulated data is used to process tasks during offline periods, then system availability is maintained, but data fidelity may decrease over time

Engineering Contradiction:

Improvesystem availabilityVSAvoiddata accuracy

Core Design Contradiction:

ReliabilityVSMeasurement precision

Solution Approach 1:

The system performs preliminary validation by comparing digital twin output with primary system data when connected, establishing baseline accuracy. This preliminary validation ensures the digital twin maintains data fidelity thresholds before being used for task processing during offline periods

Inventive Principle:

Principle #10Preliminary action

Solution Approach 2:

The system implements feedback mechanisms that monitor data fidelity between the digital twin and primary system. When the primary system comes back online, the system validates and synchronizes data, providing feedback that corrects any drift and maintains accuracy for future offline operations

Inventive Principle:

Principle #23Feedback

Data Source

PatentUS20240193327A1Digital twinning data simulator

Publication Date: 2024.06.13 BANK OF AMERICA CORP

AI summary

Aspects of the disclosure relate to enhancing redundancy of computer systems. The disclosure provides a system architecture for maintaining operation of computer systems despite technical and infrastructure failures, such as a server going offline or losing network connections. The described architecture may include a digital twin that models the computer system. The digital twin may simulate evolution of data records and use the simulated data records to process computing tasks submitted to the unavailable computer system despite no access to the computer system.