Acoustic Design Support Apparatus Speaker Mounting Optimization
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Current acoustic design support systems lack automation in setting conditions, require extensive trial and error for optimizing speaker mounting angles, and are inefficient in calculating acoustic parameters, especially when dealing with three-dimensional spaces and array speakers, leading to increased calculation time and difficulty in achieving uniform sound pressure levels.
Innovation Solution
An acoustic design support apparatus that automates the selection of speaker candidates and optimizes mounting angles by using a speaker selection supporter and a speaker mounting angle optimizer, calculating acoustic parameters in the frequency domain through convolution-based calculations, and displaying results visually to reduce design time and effort.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If manual trial and error methods are used to optimize speaker mounting angles, then design flexibility is maintained, but calculation time and design effort increase significantly
Solution Approach 1:
The system performs automatic optimization of speaker mounting angles through computational algorithms that self-adjust parameters to achieve uniform sound pressure distribution, eliminating the need for manual trial and error by designers
Solution Approach 2:
The system automatically varies mounting angle parameters and other acoustic parameters through iterative calculations to optimize sound distribution, replacing manual parameter adjustment with automated computational search algorithms
2Productivity
If frequency domain calculations are used for acoustic parameter calculation, then calculation speed is improved, but complexity of the calculation system increases
Solution Approach 1:
The system replaces time-domain acoustic calculations with frequency-domain calculations using Fast Fourier Transform (FFT) algorithms, substituting complex time-domain convolution operations with more efficient frequency-domain multiplication operations
Solution Approach 2:
The calculation system is divided into modular components including FFT processing units, convolution calculation units, and parameter extraction units, allowing each module to handle specific aspects of acoustic calculation independently to reduce overall system complexity
3Productivity
If automated speaker selection and angle optimization is implemented, then design time is reduced, but the system complexity and computational requirements increase
Solution Approach 1:
The system integrates multiple functions including speaker selection, mounting angle optimization, acoustic parameter calculation, and visualization into a single unified platform, reducing the need for multiple separate tools and procedures
Solution Approach 2:
The system introduces intermediate computational representations such as virtual acoustic models and synthesized sound field data that mediate between input space geometry and output acoustic parameters, enabling automated optimization through standardized computational steps
Data Source
AI summary
In an acoustic design support apparatus, a speaker selection supporter selects a desired speaker as a candidate for use in a given space based on shape information representing a shape of the space. A speaker mounting angle optimizer calculates an optimal mounting direction of the selected speaker by selecting a mounting direction pattern which minimizes a degree of variation among sound pressure levels at a plurality of positions on a sound receiving surface defined in the space. An acoustic parameter calculator calculates a variety of acoustic parameters at sound receiving points within the space based on both of the shape information of the space and the optimal mounting direction of the speaker.