G. Saranya, M. Dharaniga, S.K. Dhanushmathi, R. Dharsheeni
{"title":"Air Pollution Monitoring and Mapping Services Using Wireless Sensor Nodes and IoT","authors":"G. Saranya, M. Dharaniga, S.K. Dhanushmathi, R. Dharsheeni","doi":"10.1109/ICACTA54488.2022.9752915","DOIUrl":null,"url":null,"abstract":"The level of air pollution in cities has grown to become a shocking phenomenon across the country. With the rapid growth of cities and industries, there is a sudden raise in the count of automobiles, power stations, and other manufacturing and industrial facilities. Most cities are facing the problem of lack of air that can meet air quality for good health. The exponential increase in the concentration of pollutants in the atmosphere have resulted in various deadly diseases. The first step is to solve the problem is with high spatial and temporal resolution. It is really necessary to build a system for measuring air pollution and a smart city forecasting system. The project utilizes multiple wireless sensors that monitor pollution through various locations and the location with Global Positioning System (GPS) by using the pollution detection sensor and loading in cloud services and transmitting wireless data to the host. The data collected from the local area is sent to the cloud and hence the data of various concentration of the pollutants undergoes various analysis in the cloud and then using IOT they are displayed on the application and pollution level with respective pollutants concentration are displayed on the app with necessary advisory if incase required so that the user can get benefitted. The cloud also stores these data so that it can be further helpful. The data is then displayed on a mapping service field that enables the user to better understand air quality more easily. The proposed system is useful to monitor and reduce the pollution of the smart city by avoiding the causes of pollution.","PeriodicalId":345370,"journal":{"name":"2022 International Conference on Advanced Computing Technologies and Applications (ICACTA)","volume":"54 10 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-03-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2022 International Conference on Advanced Computing Technologies and Applications (ICACTA)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICACTA54488.2022.9752915","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
The level of air pollution in cities has grown to become a shocking phenomenon across the country. With the rapid growth of cities and industries, there is a sudden raise in the count of automobiles, power stations, and other manufacturing and industrial facilities. Most cities are facing the problem of lack of air that can meet air quality for good health. The exponential increase in the concentration of pollutants in the atmosphere have resulted in various deadly diseases. The first step is to solve the problem is with high spatial and temporal resolution. It is really necessary to build a system for measuring air pollution and a smart city forecasting system. The project utilizes multiple wireless sensors that monitor pollution through various locations and the location with Global Positioning System (GPS) by using the pollution detection sensor and loading in cloud services and transmitting wireless data to the host. The data collected from the local area is sent to the cloud and hence the data of various concentration of the pollutants undergoes various analysis in the cloud and then using IOT they are displayed on the application and pollution level with respective pollutants concentration are displayed on the app with necessary advisory if incase required so that the user can get benefitted. The cloud also stores these data so that it can be further helpful. The data is then displayed on a mapping service field that enables the user to better understand air quality more easily. The proposed system is useful to monitor and reduce the pollution of the smart city by avoiding the causes of pollution.