Research Framework System for Pilot Sleep Prediction

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Solution Overview

Problem

Current systems for conducting research studies, such as those related to pilot sleep and performance measures, are inefficient due to manual coordination, lengthy data compilation, and lack of real-time analysis capabilities, preventing interim adjustments or immediate data assessment.

Innovation Solution

A research framework system that includes physical condition measurement devices, networked devices for data collection and analysis, and a sleep prediction module to automatically measure and predict pilot sleep patterns, allowing for real-time data analysis and study adjustments.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Adaptability or versatility

If manual coordination is used to conduct research studies, then flexibility in study design is maintained, but study duration and time to results increase significantly

Engineering Contradiction:
Improvestudy design flexibilityVSAvoidstudy duration
Core Design Contradiction:
Adaptability or versatilityVSLoss of time

Solution Approach 1:

The patent replaces manual coordination mechanisms with automated electronic systems including web-based interfaces, database management systems, and computerized data collection devices. This substitution maintains study design flexibility through programmable protocols while dramatically reducing study duration by eliminating manual data compilation and analysis steps.

Inventive Principle:
Principle #28Mechanics substitution (Replace mechanical system)

Solution Approach 2:

The system enables self-service data collection and management where the research infrastructure automatically handles data compilation, storage, and preliminary analysis without requiring manual intervention at each step. This allows continuous operation and faster turnaround while maintaining adaptability through configurable parameters.

Inventive Principle:
Principle #25Self-service

2Measurement precision

If traditional data compilation methods are used, then data accuracy is maintained through manual verification, but the time required for data analysis increases

Engineering Contradiction:
Improvedata accuracyVSAvoiddata analysis time
Core Design Contradiction:
Measurement precisionVSLoss of time

Solution Approach 1:

Manual data verification processes are replaced with automated data validation algorithms embedded in the database management system. These algorithms automatically check data integrity, consistency, and compliance with study protocols, maintaining accuracy standards while reducing analysis time from months to days or hours.

Inventive Principle:
Principle #28Mechanics substitution (Replace mechanical system)

Solution Approach 2:

The system implements automated feedback loops where data quality metrics are continuously monitored and validated against predefined criteria. This real-time feedback mechanism ensures data accuracy is maintained throughout the study process without requiring lengthy post-study verification periods.

Inventive Principle:
Principle #23Feedback

3Productivity

If real-time data analysis is implemented, then interim adjustments and immediate results are enabled, but system complexity increases

Engineering Contradiction:
Improvedata analysis speedVSAvoidsystem complexity
Core Design Contradiction:
ProductivityVSDevice complexity

Solution Approach 1:

The patent implements a multi-functional integrated system where a single web-based platform handles data collection, storage, validation, analysis, and reporting. This universal system reduces overall complexity compared to multiple separate systems while enabling real-time analysis through centralized processing and standardized interfaces.

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

Solution Approach 2:

The system introduces a standardized data interface layer that mediates between various data collection devices and the analysis engine. This intermediary layer simplifies complexity by providing uniform data formats and protocols, allowing real-time analysis without requiring complex custom integrations for each device type.

Inventive Principle:
Principle #24Intermediary (Mediator)

Data Source

PatentUS11529095B2Research performance framework
Publication Date: 2022.12.20 FEDERAL EXPRESS CORP
  • US11529095B2 patent drawing
  • US11529095B2 patent drawing
  • US11529095B2 patent drawing

AI summary

There is provided a research framework system. For example, in some implementations there is provided a sleep prediction system for pilots including a first data structure storing collected research data related to pilot sleep patterns, a second data structure storing data related to a flight schedule associated with a pilot, and a sleep prediction module configured to access the data stored in the first and second data structures and calculate, by one or more processors using the data stored in the first data structure, a likelihood that the pilot associated with the flight schedule stored in the second data structure is sleeping at a given time.