Multi-Region Active Noise Control with Adjustable Zone Weighting
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing active noise control technologies fail to account for differences in original noise energy levels across multiple vehicle regions and user requirements, leading to suboptimal noise reduction performance in regions with higher noise sound pressure levels.
Innovation Solution
A noise control system with adjustable multi-region noise reduction performance, utilizing a reference signal acquisition unit, error microphone arrays, and a noise control unit to adjust adaptation factors based on regional noise sound pressure levels and user requirements, constructing a multi-region noise energy minimization control model to optimize noise reduction in each area.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of energy
If traditional active noise control algorithms (LMS, FXLMS) are used to minimize total noise energy across multiple regions, then the overall noise reduction is achieved, but the noise reduction performance in regions with higher noise sound pressure levels is suboptimal
Solution Approach 1:
The patent applies local quality by introducing region-specific adaptation factors that allow different parts of the system (different vehicle regions) to have different noise reduction characteristics. The adaptation factor for each region is adjusted based on the original noise sound pressure level in that region, enabling high-noise regions to receive more aggressive noise reduction treatment while low-noise regions maintain balanced performance. This resolves the contradiction by making the noise control system spatially adaptive rather than uniformly optimized.
Solution Approach 2:
The patent changes the adaptation factor parameter dynamically based on the original noise sound pressure level in each region. Regions with higher noise levels are assigned larger adaptation factors, while regions with lower noise levels are assigned smaller factors. This parameter adjustment allows the system to optimize noise reduction performance in high-noise regions without compromising overall system stability, effectively resolving the contradiction between total energy minimization and local performance optimization.
2Device complexity
If uniform noise reduction is applied across all vehicle regions, then system simplicity is maintained, but user requirements and regional noise differences are not addressed
Solution Approach 1:
The patent segments the vehicle interior into multiple independent noise control regions, each with its own error microphone array and adaptation factor. This segmentation allows the system to address regional noise differences and user requirements independently in each zone while maintaining a relatively simple overall control architecture. The segmentation enables adaptability without requiring a completely complex distributed control system.
Solution Approach 2:
The patent implements a universal noise control framework that can handle both uniform and region-specific noise reduction requirements through the same basic system structure. The adaptation factor mechanism provides multi-functionality, allowing the system to operate in different modes (uniform or differentiated noise reduction) depending on the configured adaptation factors, thus maintaining ease of operation while achieving adaptability.
3Manufacturing precision
If adaptation factors are adjusted based on original noise sound pressure levels, then optimal noise reduction performance in high-noise regions is achieved, but system complexity increases
Solution Approach 1:
The patent implements feedback by continuously monitoring the original noise sound pressure level in each region and using this information to adjust the adaptation factors. The error microphone arrays provide real-time feedback on noise levels, and the control algorithm uses this feedback to dynamically adjust adaptation factors for optimal performance. This feedback mechanism enables the system to achieve high noise reduction performance automatically without requiring complex manual configuration or intervention.
Data Source
Figure 1~2
Figure 3
Figure 4~6
AI summary
The present application relates to a noise control system and method with adjustable multi-region noise reduction performance, and a computer device, which relates to the field of vehicle noise reduction technologies. In the present application, the adaptation factors of the acoustic error signals for individual regions are adjusted and controlled based on different region noise sound pressure levels and user requirements, and a multi-region noise energy minimization control model with the adaptation factors is constructed. Based on the multi-region noise energy minimization control model with the adaptation factors, the weight coefficient vector of the speaker is updated. By setting the numerical value of the adaptation factor, personalized adjustment of the noise reduction performance in each region can be achieved, so that regions with higher noise sound pressure levels can obtain the optimal noise reduction performance. The present application achieves adjustable multi-region noise reduction performance, and obtains better low-noise experience in different regions.