Internet of Things Based Air Pollution Monitoring and Forecasting System

被引：0
|
作者：
Gokul, P. [1 ]
Srikanth, J. [1 ]
Inbarasu, G. [1 ]
Subramaniyam, Kamalraj [1 ]
Venkatesan, G. K. D. Prasanna [2 ]
机构：
[1] Karpagam Acad Higher Educ, Dept ECE, Coimbatore, Tamil Nadu, India
[2] Karpagam Acad Higher Educ, Fac Engn, Coimbatore, Tamil Nadu, India
来源：
SUSTAINABLE COMMUNICATION NETWORKS AND APPLICATION, ICSCN 2019 | 2020年 / 39卷
关键词：
Gas sensors; PIC micro controller; IOT; Air quality;
D O I：
10.1007/978-3-030-34515-0_46
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
The quality of air plays a predominant role in human health and has greater influence on life expectancy. In our project, five different gas sensors are used to evaluate the quality of air. The quality of air is classified into good, moderate, unhealthy, and hazardous. For instance, this work has been conducted in Coimbatore (smart city). The presence of harmful gases determines the nature of the air and this classification can be monitored periodically by measuring the amount of SO2 and NO2, which acts as a vital parameter. These measured and classified data can be transferred to public access and decision can be taken, so that we have developed an open access website to store and display the values of classified air quality. This information to the people can be used to improve quality of life by improving the quality of air.
引用
收藏
页码：439 / 451
页数：13
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