论文标题
基于物联网的实时噪声映射系统用于城市声音污染研究
IoT Based Real Time Noise Mapping System for Urban Sound Pollution Study
论文作者
论文摘要
本文介绍了一个系统的开发，该系统可以通过WebApp使用通过Internet连接的多个节点设备来实现实时数据可视化。使用Atmega328（Arduino Nano）和ESP8266硬件模块，Nodemcu Arduino包装库，Google Map和Firebase API以及JavaScript WebApp以及JavaScript WebApp实现了原型。系统体系结构使得多个节点设备将安装在目标区域的不同位置。在每个节点设备上，Arduino Nano与声音传感器连接，测量环境强度，ESP8266 Wi-Fi模块通过Web API将数据传输到数据库。在WebApp上，它根据节点设备的位置绘制通过Google Maps从设备上绘制所有实时数据。然后可以使用收集的记录数据来进行有关目标区域中声污染的研究。
This paper describes the development of a system that enables real time data visualization via a webapp regarding sound intensity using multiple node devices connected through internet. The prototypes were realized using ATmega328 (Arduino Nano) and ESP8266 hardware modules, NodeMCU Arduino wrapper library, Google maps and firebase API along with JavaScript webapp. System architecture is such that multiple node devices will be installed in different locations of the target area. On each node device, an Arduino Nano interfaced with a Sound Sensor measures the ambient sound intensity and ESP8266 Wi-Fi module transmits the data to a database via web API. On the webapp, it plots all the real-time data from the devices over Google maps according to the locations of the node devices. The logged data that is collected can then be used to carry out researches regarding sound pollution in targeted areas.
