{"title":"揭开电梯机房隆隆声的神秘面纱","authors":"Alex Shi","doi":"10.1109/ICICSP50920.2020.9232110","DOIUrl":null,"url":null,"abstract":"When an elevator is operating, there is often a cacophonous rumbling sound emanating from its machine room. Commonly the elevator companies claim no responsibility, citing that the overall sound pressure level (SPL) is legally compliant. However, clearly, SPL alone cannot fully represent the perceivable sound quality of the noise from the machine room. A smart phone has been used to record this noise, and the audio clip has been converted into time-domain signals. These digitalized signals have then been comprehensively analyzed by tools such as, but not limited to Fast Fourier Transformation (FFT), Short-time Fourier Transformation (STFT), and Wavelet functions. This visualized noise analysis in turn points to the fact that it is the tonality and fluctuations in the noise signal that make the acoustic noise of elevator machine so jarring to the ears despite its acceptable SPL level, prompting the negative psychoacoustic reactions of the residents. The resulting analysis demystifies the noise and has convinced elevator companies to replace their machines, paving a new path to be used for victims globally suffering from discomforting elevator noise. Furthermore, elevator companies should use similar analysis to improve its designs and manufacturing so as to improve overall perceived sound quality.","PeriodicalId":117760,"journal":{"name":"2020 IEEE 3rd International Conference on Information Communication and Signal Processing (ICICSP)","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2020-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Demystifying the Rumbling Noise Generated from the Elevator Machine Room\",\"authors\":\"Alex Shi\",\"doi\":\"10.1109/ICICSP50920.2020.9232110\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"When an elevator is operating, there is often a cacophonous rumbling sound emanating from its machine room. Commonly the elevator companies claim no responsibility, citing that the overall sound pressure level (SPL) is legally compliant. However, clearly, SPL alone cannot fully represent the perceivable sound quality of the noise from the machine room. A smart phone has been used to record this noise, and the audio clip has been converted into time-domain signals. These digitalized signals have then been comprehensively analyzed by tools such as, but not limited to Fast Fourier Transformation (FFT), Short-time Fourier Transformation (STFT), and Wavelet functions. This visualized noise analysis in turn points to the fact that it is the tonality and fluctuations in the noise signal that make the acoustic noise of elevator machine so jarring to the ears despite its acceptable SPL level, prompting the negative psychoacoustic reactions of the residents. The resulting analysis demystifies the noise and has convinced elevator companies to replace their machines, paving a new path to be used for victims globally suffering from discomforting elevator noise. Furthermore, elevator companies should use similar analysis to improve its designs and manufacturing so as to improve overall perceived sound quality.\",\"PeriodicalId\":117760,\"journal\":{\"name\":\"2020 IEEE 3rd International Conference on Information Communication and Signal Processing (ICICSP)\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2020-09-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2020 IEEE 3rd International Conference on Information Communication and Signal Processing (ICICSP)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICICSP50920.2020.9232110\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2020 IEEE 3rd International Conference on Information Communication and Signal Processing (ICICSP)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICICSP50920.2020.9232110","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

摘要

电梯运行时,经常会从机房发出刺耳的隆隆声。通常电梯公司声称没有责任,理由是总声压级(SPL)符合法律要求。然而,很明显,单靠声压级并不能完全代表机房噪声的可感知音质。智能手机被用来记录这种噪音,音频片段被转换成时域信号。然后,这些数字化信号通过快速傅立叶变换(FFT)、短时傅立叶变换(STFT)和小波函数等工具进行全面分析。这种可视化的噪声分析反过来指出,正是噪声信号的调性和波动,使得电梯机的声学噪声在声级可接受的情况下仍然如此刺耳,从而促使居民产生负面的心理声学反应。由此产生的分析揭开了噪音的神秘面纱,并说服电梯公司更换他们的机器,为全球遭受令人不安的电梯噪音的受害者铺平了新的道路。此外,电梯公司应该使用类似的分析来改进其设计和制造,以提高整体感知声音质量。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
Demystifying the Rumbling Noise Generated from the Elevator Machine Room
When an elevator is operating, there is often a cacophonous rumbling sound emanating from its machine room. Commonly the elevator companies claim no responsibility, citing that the overall sound pressure level (SPL) is legally compliant. However, clearly, SPL alone cannot fully represent the perceivable sound quality of the noise from the machine room. A smart phone has been used to record this noise, and the audio clip has been converted into time-domain signals. These digitalized signals have then been comprehensively analyzed by tools such as, but not limited to Fast Fourier Transformation (FFT), Short-time Fourier Transformation (STFT), and Wavelet functions. This visualized noise analysis in turn points to the fact that it is the tonality and fluctuations in the noise signal that make the acoustic noise of elevator machine so jarring to the ears despite its acceptable SPL level, prompting the negative psychoacoustic reactions of the residents. The resulting analysis demystifies the noise and has convinced elevator companies to replace their machines, paving a new path to be used for victims globally suffering from discomforting elevator noise. Furthermore, elevator companies should use similar analysis to improve its designs and manufacturing so as to improve overall perceived sound quality.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
自引率
0.00%
发文量
0
期刊最新文献
Experimental Results of Maritime Target Detection Based on SVM Classifier Evaluation of Channel Coding Techniques for Massive Machine-Type Communication in 5G Cellular Network Real-Time Abnormal Event Detection in the Compressed Domain of CCTV Systems by LDA Model Compound Model of Navigation Interference Recognition Based on Deep Sparse Denoising Auto-encoder Analysis on the Influence of BeiDou Satellite Pseudorange Bias on Positioning
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1