Demo abstract: A microphone sensor based system for green building applications

Demo abstract: A microphone sensor based system for green building applications
复制标题

演示摘要:用于绿色建筑应用的基于麦克风传感器的系统

DOI:
--
复制
发表时间:
2015
期刊:
2015 IEEE International Conference on Pervasive Computing and Communication Workshops (PerCom Workshops)
影响因子:
--
通讯作者:
Nilavra Pathak
Nilavra Pathak
中科院分区:
--
文献类型:
--
作者:
Md Abdullah Al Hafiz Khan;Sheung Lu;Nirmalya Roy;Nilavra Pathak

文献摘要

参考文献

被引文献

相似文献

声学感测已经影响了绿色建筑能量管理中的许多应用,例如通过细粒度的器具状态识别来设计多模态能量分解算法,或者基于环境的占用来有效地控制HVAC系统。在这篇演示论文中,我们使用现成的商用硬件(Raspberry Pi和超高增益麦克风)构建了一个低成本的系统原型,以处理声学传感及其处理,该系统可在任何室内环境中进行便携式部署。我们的系统可用于检测家用电器噪声,以实现精细的能源计量,并可用于检测人类语音,以管理建筑物的能源足迹。我们使用声音的分贝强度来确定是否应该将其作为静音过滤掉或作为感兴趣的音频存储。快速傅立叶变换将音频信号的正弦输入快速转换成其相关联的频率,该快速傅立叶变换与梅尔频率倒谱系数(MFCC)特征一起沿着实现,以区分人声和电器噪声。我们还在片上实现了所有的计算,以量化能量延迟的好处。
Acoustic sensing has influenced many applications in green building energy management, such as designing multi-modal energy disaggregation algorithms through fine-grained appliance state identifications or efficiently controlling the HVAC system based on the occupancy of the environment. In this demo paper we build a low-cost system prototype using off-the-shelf commercially available hardware (Raspberry Pi and super high gain microphone) to handle both acoustic sensing and its processing that is portable and easily deployable in any indoor environment. Our system is useful in detecting appliance noise for fine-grained energy metering and human voice for managing building energy footprint. We use the decibel strength of the sound to determine if it should be filtered out as a silence or stored in as an audio of interest. A fast fourier transform that quickly converts the sinusoidal input of the audio signals into its associated frequencies is implemented along with the Mel-Frequency Cepstral Coefficients (MFCCs) feature to distinguish between a human voice and an appliance noise. We also implement all the computations on-chip to quantify the energy-delay benefits.
基于声学的设备状态识别,用于细粒度能源分析
DOI: 10.1109/percom.2015.7146510
发表时间: 2015
期刊: 2015 IEEE International Conference on Pervasive Computing and Communications (PerCom
影响因子: --
作者:
Pathak, Nilavra;Khan, Md Abdullah;Roy, Nirmalya
通讯作者: Roy, Nirmalya