Automated Airplane Interior Configuration via Intelligent Spatial Geometry
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Current interior configuration modeling systems for passenger vehicles are manually intensive, inefficient, and lack automation, struggling to adapt to rapid changes and optimize seat and landmark placements while adhering to regulatory constraints, leading to inaccurate and time-consuming design processes.
Innovation Solution
A Knowledge-Based Interior Development tool that transforms configuration requirements into intelligent spatial geometry, using a rule-based approach to automate the design process, storing configuration data in a database for accessibility and compliance with regulatory standards, and enabling efficient generation and manipulation of interior configurations.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If manual interior configuration modeling is used, then design flexibility is maintained, but productivity and efficiency deteriorate due to time-consuming manual processes
Solution Approach 1:
The patent replaces manual mechanical configuration processes with an automated computer-based system that uses intelligent algorithms to generate interior layouts. The system automatically processes configuration requirements, applies regulatory rules, and produces optimized seat and landmark arrangements without manual intervention, thereby substituting human labor with automated computational processes.
Solution Approach 2:
The interior configuration system performs self-service by automatically generating and optimizing layouts based on input requirements and regulatory constraints. The system independently handles the entire configuration process including seat placement, landmark positioning, and compliance verification without requiring continuous manual guidance, enabling the design process to serve itself.
2Manufacturing precision
If exact coordinates of each landmark are modeled manually, then measurement precision is achieved, but manufacturing precision deteriorates due to inability to automatically optimize seat locations
Solution Approach 1:
The system performs preliminary actions by pre-defining regulatory rules, constraints, and optimization criteria before the configuration process begins. These pre-established parameters guide the automated generation of seat and landmark positions, ensuring that optimization occurs within compliant boundaries before final placement decisions are made.
Solution Approach 2:
The patent utilizes parameter changes by dynamically adjusting seat and landmark positions based on optimization algorithms that evaluate multiple configuration variables. The system modifies spatial parameters, distances, and arrangements to achieve optimal layouts while maintaining compliance with regulatory constraints, thereby improving manufacturing precision through systematic parameter optimization.
3Adaptability or versatility
If current configuration models are used, then ease of operation is maintained for simple tasks, but adaptability deteriorates when rapid configuration changes are required
Solution Approach 1:
The configuration system implements dynamics by enabling flexible adaptation to changing requirements through automated reconfiguration capabilities. When regulatory rules, customer preferences, or spatial constraints change, the system dynamically regenerates optimized layouts without requiring manual recalibration, thereby maintaining ease of operation while significantly improving adaptability to rapid configuration changes.
4Loss of information
If manual extraction of internal configuration data is used, then device complexity is reduced, but loss of information increases for downstream processes
Solution Approach 1:
The patent implements universality by creating a centralized configuration data management system that serves multiple functions: storing configuration data, applying regulatory rules, generating optimized layouts, and exporting data for downstream processes. This multi-functional system eliminates the need for separate manual extraction procedures, thereby reducing information loss while managing complexity through integrated data handling.
Data Source
AI summary
A system and method for knowledge based development of interior models for configurable spaces, including storing a digital definition of the interior section of the passenger vehicle and parameters related to the objects, storing a digital definition of a plurality of three dimensional stay-out spaces associated with one or more of the objects, defining one or more collision rules between a first three dimensional stay-out space and a second three dimensional stay-out space, the rules define whether the first three dimensional stay-out space and the second three dimensional stay-out space may overlap, and designing the interior section to accommodate objects based on the defined collision rules and object parameters.