Enhanced Aircraft Crew Monitoring System through Synergistic Combinations

Publication ID: 24-11857324_0003_PTD
Published: November 07, 2025
Category:Synergistic Combinations

Legal Citation

pr1or.art Inc., “Enhanced Aircraft Crew Monitoring System through Synergistic Combinations,” Published Technical Disclosure No. 24-11857324_0003_PTD, Published November 07, 2025, available at https://archive.pr1or.art/24-11857324_0003_PTD
This technical disclosure describes improvements that would be readily apparent to a Person Having Ordinary Skill In The Art (PHOSITA) when considered in combination with the foundational architecture disclosed in U.S. Patent No. 11,857,324.

Summary of the Inventive Concept

An integrated system for monitoring the operational status of an aircraft crew, leveraging synergies between distinct technologies such as blockchain, IoT, AI, and new materials to provide a more comprehensive and accurate assessment of pilot states.

Background and Problem Solved

The original patent disclosed a system for monitoring the operational state of an aircraft crew, comprising a first interface for receiving high-design-assurance-level data and a second interface for receiving lower-design-assurance-level data. However, this system has limitations in terms of data security, scalability, and accuracy. The new inventive concept addresses these limitations by integrating blockchain-based data storage, IoT-enabled aircraft systems, AI-driven analysis, and new material-based aircraft structures to provide a more robust and reliable system.

Detailed Description of the Inventive Concept

The enhanced system comprises a blockchain-based data storage unit for securely storing crew monitoring data, ensuring data integrity and immutability. A machine learning module analyzes the stored data to determine pilot states, utilizing cloud-based AI algorithms for scalability and flexibility. The system also integrates an IoT-enabled aircraft system, receiving data from a plurality of sensors and transmitting processed data to a central avionics unit. Furthermore, the system incorporates a neural network-based unit for determining pilot states, leveraging the strengths of AI-driven analysis. Additionally, the system includes a wearable device for collecting biometric data from the crew, transmitting it wirelessly to the central avionics unit, and analyzing it using software modules. The system can also be integrated with new material-based aircraft structures, embedding sensors within the structure to receive data and process it using machine learning algorithms.

Novelty and Inventive Step

The new inventive concept combines distinct technologies in a synergistic manner, providing a more comprehensive and accurate assessment of pilot states. The integration of blockchain, IoT, AI, and new materials introduces a new level of security, scalability, and accuracy, distinguishing it from the original patent.

Alternative Embodiments and Variations

Alternative embodiments of the inventive concept could include utilizing edge computing for real-time data analysis, integrating augmented reality displays for enhanced visualization, or incorporating additional sensors for monitoring environmental factors. Variations of the system could be designed for specific aircraft types or crew configurations, ensuring broad conceptual coverage.

Potential Commercial Applications and Market

The enhanced aircraft crew monitoring system has significant commercial potential in the aviation industry, particularly for commercial airlines, private jet operators, and military aviation. The system's ability to provide accurate and real-time pilot state assessments can improve safety, reduce costs, and enhance overall operational efficiency. The market for such a system is substantial, with potential applications in aircraft manufacturing, avionics, and aviation services.

Field of Art

Aerospace avionics and crew monitoring systems, requiring expertise in sensor integration, data processing, machine learning, and aircraft safety monitoring technologies

Person of Ordinary Skill (PHOSITA) Profile

An engineer with a graduate degree in aerospace engineering or electrical engineering, 5-7 years experience in avionics system design, familiar with sensor networks, machine learning algorithms, and safety-critical system architectures

Obviousness Rationale

A PHOSITA would recognize that the PTD represents predictable technological extensions of the source patent's crew monitoring framework by applying contemporary technologies like blockchain, IoT, and machine learning to enhance data collection and processing. The fundamental architecture of monitoring pilot states remains consistent, with the PTD merely substituting implementation technologies while preserving the core monitoring methodology. These technological substitutions represent standard engineering practice of upgrading legacy systems with modern computational approaches.

Obvious Combinations & Variations

Source Patent Element
First and second interfaces for receiving crew monitoring data with different design assurance levels
PTD Variation
Blockchain-based data storage unit and IoT sensor network for collecting and storing crew monitoring data
Obviousness Reasoning
Replacing traditional data interfaces with blockchain and IoT represents a known technique for improving data integrity and collection methods, with predictable results in safety-critical systems
Source Patent Element
Pilot state determiner using finite-state machine and deterministic algorithms
PTD Variation
Neural network and machine learning modules for analyzing pilot states using AI algorithms
Obviousness Reasoning
Substituting deterministic algorithms with machine learning represents a standard engineering approach to improving state detection, utilizing well-understood computational techniques
Source Patent Element
System for determining consolidated pilot states from multiple data sources
PTD Variation
Wearable device collecting biometric data and wireless transmission to central avionics unit
Obviousness Reasoning
Expanding data collection methods through wearable technology is an obvious design choice for enhancing pilot state monitoring, representing a predictable technological evolution
Source Patent Element
Interfaces for receiving crew monitoring data
PTD Variation
Embedded sensors in aircraft structures integrated with machine learning data processing
Obviousness Reasoning
Integrating sensors directly into structural components is a known technique for improving data collection, representing a straightforward engineering optimization
35 U.S.C. § 103 Summary: Based on the teachings of US Patent 11857324 and the disclosed technological variations, a person of ordinary skill in the art would find the claimed innovations obvious and lacking inventive step. The published technical disclosure demonstrates that the claimed system represents a predictable combination of known technologies applied to the established framework of aircraft crew monitoring, thereby rendering subsequent claims obvious and anticipating potential patent applications in this technological domain.

Original Patent Information

Patent NumberUS 11,857,324
TitleSystem for monitoring the operational status of an aircraft crew, and associated method
Assignee(s)DASSAULT AVIATION