Air quality monitoring system based on IoT using Raspberry Pi

Somansh Kumar, Ashish Jasuja
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引用次数: 148

Abstract

Air pollution is the largest environmental and public health challenge in the world today. Air pollution leads to adverse effects on Human health, climate and ecosystem. Air is getting polluted because of release of Toxic gases by industries, vehicular emissions and increased concentration of harmful gases and particulate matter in the atmosphere. Particulate matter is one of the most important parameter having the significant contribution to the increase in air pollution. This creates a need for measurement and analysis of real-time air quality monitoring so that appropriate decisions can be taken in a timely period. This paper presents a real-time standalone air quality monitoring system which includes various parameters: PM 2.5, carbon monoxide, carbon dioxide, temperature, humidity and air pressure. Internet of Things is nowadays finding profound use in each and every sector, plays a key role in our air quality monitoring system too. Internet of Things converging with cloud computing offers a novel technique for better management of data coming from different sensors, collected and transmitted by low power, low cost ARM based minicomputer Raspberry pi. The system is tested in Delhi and the measurements are compared with the data provided by the local environment control authority and are presented in a tabular form. The values of the parameters measured are shown in IBM Bluemix Cloud.
基于树莓派的物联网空气质量监测系统
空气污染是当今世界最大的环境和公共卫生挑战。空气污染对人类健康、气候和生态系统产生不利影响。由于工业排放的有毒气体、汽车尾气以及大气中有害气体和颗粒物浓度的增加,空气正在受到污染。颗粒物是对大气污染增加有重要贡献的重要参数之一。这就需要对实时空气质量监测进行测量和分析,以便及时作出适当的决定。本文介绍了一个独立的实时空气质量监测系统,该系统包括各种参数:PM 2.5、一氧化碳、二氧化碳、温度、湿度和气压。如今,物联网在每个领域都得到了广泛的应用,在我们的空气质量监测系统中也发挥了关键作用。物联网与云计算的融合为更好地管理来自不同传感器的数据提供了一种新技术,这些数据由低功耗、低成本、基于ARM的小型计算机树莓派收集和传输。该系统在德里进行了测试,测量结果与当地环境控制部门提供的数据进行了比较,并以表格形式呈现。测量的参数值显示在IBM Bluemix Cloud中。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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