Smart Storage Layout for Aircraft Cabin Space Utilization

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Solution Overview

Problem

Limited storage space in aircraft cabins leads to inefficient use of available space and potential damage to fragile objects due to lack of optimal storage solutions.

Innovation Solution

A smart storage management system that uses AI and machine learning to analyze object parameters and storage area information, generating optimal layouts for object arrangement and providing augmented reality guidance for efficient storage and retrieval, utilizing IoT devices and smart arrangement devices to optimize space utilization and protect fragile items.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Productivity

If traditional storage methods are used in aircraft cabins, then storage space is available, but space utilization is inefficient and objects may be damaged

Engineering Contradiction:

Improvespace utilization efficiencyVSAvoidobject damage risk

Core Design Contradiction:

ProductivityVSObject-affected harmful factors

Solution Approach 1:

The system performs preliminary analysis of object parameters and storage area characteristics before arrangement, using AI/ML algorithms to determine optimal layouts in advance. This prevents damage by pre-planning safe storage positions and maximizes space utilization by pre-calculating efficient arrangements.

Inventive Principle:

Principle #10Preliminary action

Solution Approach 2:

The storage management system dynamically adjusts object arrangements based on real-time conditions, object characteristics, and storage area availability. The automated arrangement mechanism can reposition objects dynamically to optimize space usage and protect fragile items during flight conditions.

Inventive Principle:

Principle #15Dynamics

2Productivity

If manual storage arrangement is used, then操作简单, but storage efficiency is low and retrieval is time-consuming

Engineering Contradiction:

Improvestorage and retrieval efficiencyVSAvoidsystem complexity

Core Design Contradiction:

ProductivityVSDevice complexity

Solution Approach 1:

The system enables self-service storage management by automatically analyzing object parameters, determining optimal layouts, and executing arrangements without manual intervention. The augmented reality interface provides self-guided instructions to passengers and staff, eliminating the need for complex manual planning while maintaining high efficiency.

Inventive Principle:

Principle #25Self-service

Solution Approach 2:

The patent replaces manual mechanical arrangement with automated systems including AI/ML algorithms for analysis, automated arrangement mechanisms for physical positioning, and augmented reality for guidance. This substitution increases efficiency while the system manages complexity through intelligent automation rather than mechanical complexity.

Inventive Principle:

Principle #28Mechanics substitution (Replace mechanical system)

3Object-affected harmful factors

If more storage space is provided in aircraft cabins, then object damage risk decreases, but available cabin space is reduced

Engineering Contradiction:

Improveobject damage riskVSAvoidcabin available space

Core Design Contradiction:

Object-affected harmful factorsVSArea of stationary object

Solution Approach 1:

The system changes the arrangement parameters and spatial configuration of stored objects to optimize protection without expanding storage volume. By adjusting object orientations, positions, and groupings based on AI analysis, the system reduces damage risk while maintaining the same physical storage space, thereby preserving cabin availability.

Inventive Principle:

Principle #35Parameter changes

Data Source

PatentUS11972133B2Management of smart storage areas

Publication Date: 2024.04.30 INTERNATIONAL BUSINESS MACHINE CORPORATION

AI summary

A processor may receive storage area information of a smart storage area. A processor may analyze the one or more objects associated with the smart storage area. A processor may determine a layout of the one or more objects. The layout may be based, at least in part, on one or more object parameters of the one or more objects and the storage area information. A processor may arrange the one or more objects in the layout.