%0 Journal Article %T 气囊降噪系统、床及气囊充放气降噪方法研究
Research on Airbag Noise Reduction System, Bed, and Noise Reduction Method for Airbag Inflation and Deflation %A 王宇 %A 郑秀玲 %J Applied Physics %P 346-350 %@ 2160-7575 %D 2025 %I Hans Publishing %R 10.12677/app.2025.155040 %X 本文深入研究了一种气囊降噪系统、床及气囊充放气降噪方法。该系统通过噪声信号采集、预处理、分析等模块，实时监测气囊充放气时的噪音，在噪音高峰期自动降低充放气速度，从而显著降低噪音。同时，系统还采用了多级降噪设计，包括在充放气口设置消音件以及在气囊内壁设置吸音隔音层等措施，进一步增强了降噪效果。通过实验验证，在0.05 MPa充气压力下，系统可将噪音峰值从58.7 dB降至38.2 dB，降噪效率达34.9%，相比传统隔音材料降噪效率提升近2倍。与现有技术相比，该系统突破了单一被动降噪的局限性，通过“主动速度控制 + 多级被动降噪”的协同设计，实现了降噪效果与功能性能的优化平衡，为智能家居气囊产品的静音化设计提供了新范式。
This paper conducts an in-depth study on an airbag noise reduction system, bed, and noise reduction method for airbag inflation and deflation. The system uses modules for noise signal acquisition, preprocessing, and analysis to monitor the noise generated during airbag inflation and deflation in real time. It automatically reduces the inflation and deflation speeds during peak noise periods, thereby significantly reducing noise. Meanwhile, the system adopts a multi-level noise reduction design, including installing noise reduction components at the inflation and deflation ports and setting up a sound-absorbing and insulating layer on the inner wall of the airbag, which further enhances the noise reduction effect. Experimental verification shows that at an inflation pressure of 0.05 MPa, the system reduces the noise peak from 58.7 dB to 38.2 dB, achieving a noise reduction efficiency of 34.9%—nearly double that of traditional sound-insulating materials. Compared with existing technologies, this system breaks through the limitations of single passive noise reduction. Through the collaborative design of “active speed control + multi-level passive noise reduction”, it achieves an optimized balance between noise reduction performance and functional efficiency, providing a new paradigm for the silent design of smart home airbag products. %K 气囊降噪， %K 智能家居， %K 充放气降噪， %K 用户体验
Airbag Noise Reduction %K Smart Home %K Noise Reduction for Inflation and Deflation %K User Experience %U http://www.hanspub.org/journal/PaperInformation.aspx?PaperID=115009