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Air quality monitoring system based on IoT using Raspberry Pi

机译:使用Raspberry Pi的基于IoT的空气质量监测系统

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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.
机译:空气污染是当今世界上最大的环境和公共卫生挑战。空气污染导致对人类健康,气候和生态系统的不利影响。由于工业释放的有毒气体,车辆排放以及大气中有害气体和颗粒物的浓度增加,空气正受到污染。颗粒物是最重要的参数之一,对增加空气污染有重大贡献。这就需要对实时空气质量监测进行测量和分析,以便可以及时做出适当的决定。本文提出了一个实时的独立空气质量监测系统,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,物联网已在各个领域得到广泛应用,在我们的空气质量监测系统中也发挥着关键作用。物联网与云计算融合提供了一种新颖的技术,可以更好地管理来自不同传感器的数据,这些数据是由低功耗,低成本,基于ARM的小型计算机Raspberry pi收集和传输的。该系统在德里进行了测试,并将测量结果与当地环境控制机构提供的数据进行了比较,并以表格形式显示。测得的参数值在IBM Bluemix Cloud中显示。

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