Aircraft Cabin Configuration via Modular Zone Segmentation
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Solution Overview
Problem
The aircraft cabin configuration and equipment process is time-consuming and expensive due to the immense range of possible combinations, requiring significant computing power and resources, and existing methods are inefficient in optimizing component arrangements and generating production documents.
Innovation Solution
A method that subdivides the cabin into zones, allowing for the selection and automatic configuration of individual modules into module packages, which are then arranged and validated to meet technical and safety requirements, reducing the complexity of calculations and improving efficiency by focusing on specific zones rather than the entire cabin.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Manufacturing precision
If the entire airplane cabin is configured using automatic calculation methods, then configuration precision and compliance with safety rules are improved, but calculation time and computing power requirements increase significantly
Solution Approach 1:
The cabin configuration process is segmented into multiple independent calculation stages: first determining fixed-position components based on safety rules, then configuring remaining components in subsequent passes. This segmentation allows the system to handle complex cabin configurations without requiring exhaustive calculation of all possible arrangements, thereby reducing computation time while maintaining configuration precision.
Solution Approach 2:
The method performs preliminary configuration actions by first identifying and positioning components with fixed positions based on safety regulations before proceeding to configure other components. This preliminary action reduces the search space for subsequent configuration steps, eliminating unnecessary calculations and reducing overall computation time while ensuring compliance with safety requirements from the outset.
2Manufacturing precision
If the entire airplane cabin is configured using automatic calculation methods, then configuration completeness is improved, but computing power requirements increase significantly
Solution Approach 1:
The configuration process is divided into multiple calculation passes, each handling specific subsets of components. The first pass configures components with fixed positions, the second pass configures remaining components, and subsequent passes optimize the arrangement. This segmentation allows the system to achieve complete configuration coverage without requiring all computing resources to be allocated simultaneously, thereby reducing peak computing power requirements.
Solution Approach 2:
The method performs configuration in multiple passes, where each pass focuses on specific aspects of the cabin layout. Rather than attempting to configure all components simultaneously with excessive computing power, the system performs partial configurations iteratively, achieving complete coverage through multiple targeted passes that use computing resources efficiently.
3Productivity
If more components are configured in the airplane cabin, then space utilization efficiency is improved, but the complexity of configuration calculations increases
Solution Approach 1:
The configuration system handles increased component density by segmenting the calculation process into multiple passes. Each pass focuses on specific components or regions, managing complexity through structured decomposition rather than attempting to process all components simultaneously. This allows efficient configuration of densely packed cabins while maintaining calculation tractability.
Data Source
AI summary
The invention relates to a method for the automatic configuration and/or equipment of a vehicle cabin (1), more particularly of an aircraft, wherein the cabin (1) is subdivided into a plurality of zones (A, B, C, D, E) and the method furthermore comprises the following steps: —selection of a plurality of individual modules (11a, 11b, 11c) from a pool of individual modules, —automatic connection of the selected individual modules (11a, 11b, 11c) to form a desired module package (10a), —automatic calculation of a desired module package configuration value, —automatic comparison of the desired module package configuration value with predefined module package configuration values which respectively correspond to a technically prevalidated module package, —automatic selection of the module package (10b) whose module package configuration value deviates the least from the desired module package configuration value, —arrangement of the selected module package (10b) in a zone (A, B, C, D, E) of the cabin (1). The invention furthermore relates to a system and a computer program.