Smart air pollution monitoring system

被引：1
|
作者：
Aswatha, S. [1 ]
Deepika, R. [1 ]
Piraba, M. Dharu [1 ]
Dhaneesh, V. P. [1 ]
Madheswari, K. [1 ]
Saraswathi, S. [1 ]
Lokeswari, Y., V [1 ]
Nagarajan, K. K. [2 ]
机构：
[1] Sri Sivasubramaniya Nadar Coll Engn, Dept Comp Sci & Engn, Chennai, Tamil Nadu, India
[2] Sri Sivasubramaniya Nadar Coll Engn, Dept Elect & Elect Engn, Chennai, Tamil Nadu, India
来源：
GLOBAL NEST JOURNAL | 2023年 / 25卷 / 03期
关键词：
regression; random forest regression; forecast;
D O I：
10.30955/gnj.004396
中图分类号：
X [环境科学、安全科学];
学科分类号：
08 ; 0830 ;
摘要：
Air is one of the most basic and important elements for human beings to survive. Clean and Sound air is the key to a good and healthy life. But nowadays in city life it has become the most threatening factor. Pollution of air has become the most concerning and affected issue now for us. As time goes, people are finding it very difficult to cope with the growing levels of air pollution. This proposed model aims to present a smart air pollution monitoring system that calculates and predicts the air quality in real time in the environment. The proposed system measures the concentration of air pollution causing gases in the environment using sensors. The acquired data is processed using Raspberry Pi and the collected information is stored in Firebase. With the help of the training data set, the air quality in forthcoming days respectively.
引用
收藏
页码：125 / 129
页数：5
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