文章基本信息

标题：IOT and Fuzzy Logic Enabled Automated Air Pollution Monitoring System
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作者：Jaskarn Singh ; Amit Chhabra
期刊名称：International Journal of Advances in Engineering and Management
电子版ISSN：2395-5252
出版年度：2020
卷号：2
期号：3
页码：665-671
DOI：10.35629/5252-0203649655
语种：English
出版社：IJAEM JOURNAL
摘要：In last few years, Because of the increase in damage to the air by the some factors such as very tiny particles of dusts in air, very large amount of the caco3 in the air , due to pollution generated by vehicles and other some other kind of Elections devices, etc. So to restrict such kind of problem there’s need for a low cost air quality monitoring system to observe the air pollution at diff places, such as public facilities, homes, offices and other many places also. So we can take necessary action to restrict the damage cause by the air pollution. In this paper, we purpose IOT(Internet Of things) based Automated Air Pollution Monitoring System which might efficiently monitor the air pollution at diff places while don’t care of restriction of any place. In previous Air Pollution Monitoring System has high exactitude, however giant bulk, high operational cost, and one common data point category makes it not possible for large-scale installation. Supporting IOT this paper extends the previous Air Pollution Monitoring System. This paper proposed a technique/method to sense the automatic pollution data sensed From the wireless sensors and predict the results. We predict and process the backend data using fuzzy logic in this paper , this method gives us result between the true and false, for example this can classify a raw data into three category (positive , negative & neutral ) in order to measure the air pollution level and them make decision using fuzzy logic.
关键词：IOT (Internet of Things);Fuzzy logic;Pollution monitoring