基于物联网的城市环境噪声监测与地理定位案例研究

J. Gomez, Jesus Talavera, L. Tobon, M. Culman, Luis Alfredo Quiroz, J. M. Aranda, Luis Ernesto Garreta
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引用次数: 4

摘要

本文介绍了一种利用物联网(IoT)监测城市环境中地理参考噪声的系统的开发。该系统旨在帮助控制机构和市民利用云上的智能设备和服务来监测噪音,以实现数据共享。该系统包括一个移动应用程序,该应用程序在可配置的时间窗口内定期捕获麦克风的音频信号,使用内置GPS在每次测量后获得移动设备的全球位置,并从操作系统分配一个时间戳。然后对录制的音频进行快速傅里叶变换,提取以分贝为单位的功率谱。所得到的矢量以特定频率采样,以创建音频特征矢量,可用于完全离线评估噪声污染。如果互联网连接可用,则将遥测信息组装并发送到Microsoft Azure云中的物联网中心,其中包含唯一ID、位置戳、时间戳和所有音频功能。消息被传输到流分析服务,并从那里发送到云SQL数据库进行永久存储。由不同用户收集和共享的历史信息可以由任何个人通过在Microsoft Power BI中开发的自定义报告在线检查。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A case study on monitoring and geolocation of noise in urban environments using the internet of things
This paper presents the development of a system to monitor and geo-reference noise in urban environments using the Internet-of-Things (IoT). The system intends to help control agencies and citizens to monitor noise using smart devices and services available on the Cloud for data sharing. The system includes a mobile application that periodically captures the microphone's audio signal during a configurable time window, obtains the mobile's global position after each measurement using the built-in GPS, and assigns a times-tamp from the operating system. Then, a Fast Fourier Transform is applied to recorded audio and the power spectrum in decibels is extracted. The resulting vector is sampled at specific frequencies to create a vector of audio features that can be used to assess noise pollution completely offline. If an Internet connection is available, a telemetry message is assembled and sent to an IoT Hub in Microsoft Azure Cloud containing a unique ID, a position stamp, a time stamp, and all audio features. The message is transferred to a Stream Analytics service, and from there it is sent to a Cloud SQL Database for permanent storage. The historical information collected and shared by different users can be examined online by any individual through a customized report developed in Microsoft Power BI.
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