Muhamad Farhan Mohd Pu'ad, T. Gunawan, M. Kartiwi, Z. Janin
{"title":"Development of Air Quality Measurement System using Raspberry Pi","authors":"Muhamad Farhan Mohd Pu'ad, T. Gunawan, M. Kartiwi, Z. Janin","doi":"10.1109/ICSIMA.2018.8688748","DOIUrl":null,"url":null,"abstract":"Air pollution is a major health issue in many countries. Air pollutants pose a danger to human health if their concentrations exceeding the tolerable levels. Monitoring such pollutants and their levels is an important precautionary measure to alarm the public about air quality around them. In Malaysia, the Department of Environment monitors air quality using costly continuous air quality monitoring stations (CAQMs) installed at fixed locations of highly populated and industrial areas. For other areas, their API readings are just estimates taken from the nearest CAQMs. Furthermore, most of the CAQMs still do not measure particulate matters (PM) smaller than 2.5 micron (PM2.5). The objective of this paper is to develop an air quality measurement system which can measure PM smaller than 10 and 2.5 microns, and four hazardous gasses, including carbon monoxide, sulphur dioxide, ground level ozone and nitrogen dioxide. The functionality of the system was evaluated by measuring sub-API readings in areas with low and high traffic volumes. Experimental results showed that the proposed system was highly responsive and able to detect the types and concentrations of pollutants instantly. For validation, the device API readings was compared with API of the nearby Batu Muda CAQMS, in which 3.23% error was obtained.","PeriodicalId":222751,"journal":{"name":"2018 IEEE 5th International Conference on Smart Instrumentation, Measurement and Application (ICSIMA)","volume":"21 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2018-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"6","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2018 IEEE 5th International Conference on Smart Instrumentation, Measurement and Application (ICSIMA)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICSIMA.2018.8688748","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 6
Abstract
Air pollution is a major health issue in many countries. Air pollutants pose a danger to human health if their concentrations exceeding the tolerable levels. Monitoring such pollutants and their levels is an important precautionary measure to alarm the public about air quality around them. In Malaysia, the Department of Environment monitors air quality using costly continuous air quality monitoring stations (CAQMs) installed at fixed locations of highly populated and industrial areas. For other areas, their API readings are just estimates taken from the nearest CAQMs. Furthermore, most of the CAQMs still do not measure particulate matters (PM) smaller than 2.5 micron (PM2.5). The objective of this paper is to develop an air quality measurement system which can measure PM smaller than 10 and 2.5 microns, and four hazardous gasses, including carbon monoxide, sulphur dioxide, ground level ozone and nitrogen dioxide. The functionality of the system was evaluated by measuring sub-API readings in areas with low and high traffic volumes. Experimental results showed that the proposed system was highly responsive and able to detect the types and concentrations of pollutants instantly. For validation, the device API readings was compared with API of the nearby Batu Muda CAQMS, in which 3.23% error was obtained.
在许多国家,空气污染是一个主要的健康问题。如果空气污染物的浓度超过可容忍的水平,就会对人体健康构成威胁。监测这些污染物及其水平是一项重要的预防措施,提醒公众关注周围的空气质量。在马来西亚,环境部使用昂贵的连续空气质量监测站(CAQMs)监测空气质量,这些监测站安装在人口密集地区和工业区的固定地点。对于其他地区,他们的API读数只是从最近的CAQMs中估计出来的。此外,大多数CAQMs仍然不测量小于2.5微米的颗粒物(PM) (PM2.5)。本文的目标是开发一个空气质量测量系统,可以测量PM小于10和2.5微米,四种有害气体,包括一氧化碳,二氧化硫,地面臭氧和二氧化氮。通过测量交通流量低和高地区的亚api读数来评估系统的功能。实验结果表明,该系统具有较高的响应能力,能够即时检测污染物的种类和浓度。为了验证,将设备的API读数与附近Batu Muda CAQMS的API读数进行比较,误差为3.23%。