Blockchain Tokenization for Aircraft Lifecycle Tracking

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Solution Overview

Problem

Current technologies lack an efficient method to digitally track and trace the lifecycle of complex machinery like aircraft, particularly in cases of part failure or mishap, and to perform reverse forensics effectively.

Innovation Solution

The implementation of blockchain technology through Blockchain Smart Contracts (BSC) or Blockchain Nonfungible Tokens (BNFT) to create a cascading digital twin of the aircraft or complex machine, allowing data collection and tracking from individual parts to systems, with new tokens created as parts are replaced and the removed parts tracked through repair and overhaul.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Reliability

If traditional tracking methods are used for aircraft parts, then the system is simple to implement, but the ability to perform reverse forensics and track parts through full lifecycle is insufficient

Engineering Contradiction:
Improvereverse forensics capabilityVSAvoidtracking system complexity
Core Design Contradiction:
ReliabilityVSDevice complexity

Solution Approach 1:

The patent segments the aircraft into hierarchical levels (aircraft, system, subsystem, component, part) with each level having its own blockchain smart contract. This segmentation enables granular tracking of individual parts while maintaining overall system context, allowing reverse forensics to trace from part level up through the complete lifecycle without requiring a monolithic complex system

Inventive Principle:
Principle #1Segmentation

Solution Approach 2:

The patent implements nested blockchain smart contracts where contracts at lower hierarchical levels (parts, components) are contained within contracts at higher levels (subsystems, systems, aircraft). This nesting structure allows the system to maintain simplicity at each level while achieving comprehensive tracking capability when all levels are integrated, resolving the contradiction between reliability and complexity

Inventive Principle:
Principle #7Nested doll (Nesting)

2Loss of information

If comprehensive data collection is implemented for all parts and systems, then the forensics capability is improved, but the data management complexity increases

Engineering Contradiction:
Improveinformation completenessVSAvoiddata management complexity
Core Design Contradiction:
Loss of informationVSDevice complexity

Solution Approach 1:

The patent divides information management into hierarchical segments where each blockchain smart contract level manages data for its specific scope (part, component, subsystem, system, aircraft). This segmentation allows comprehensive data collection to be distributed across multiple manageable contracts rather than centralized in one complex system, maintaining information completeness while reducing management complexity at each level

Inventive Principle:
Principle #1Segmentation

Solution Approach 2:

The patent creates a universal data structure and communication protocol that works across all hierarchical levels of the blockchain smart contracts. This universal framework enables comprehensive data collection from any level while using the same management approach, reducing the complexity that would otherwise arise from managing different data types and structures at each level

Inventive Principle:
Principle #6Universality (Multi-functionality)

Data Source

PatentUS12021997B2Blockchain tokenization of aircraft and other complex machinery
Publication Date: 2024.06.25 VERITX CORP
  • US12021997B2 patent drawing

AI summary

A method of blockchain tokenization of aircraft and other complex machinery includes creating a series of nesting Blockchain Smart Contracts (BSC) or Blockchain Nonfungible Tokens (BNFT) to digitally twin the complete structure of an aircraft or other complex machines, and collect data from the series of nesting BSC or BNFT through the full product life cycle. Each BSC or BNFT represents a part of the aircraft or other complex machine, from an individual part level (Xp) to a component level (Xc) to a subsystem level (Xss) and/or a system level (Xs) to an aircraft or other complex machine level (Xa), in a cascading architecture. The collected data may be used to perform reverse forensics in the case of a part failure or mishap, and/or to track and trace a part of the aircraft or other complex machine.