Air Quality Through IoT and Big Data Analytics

被引：3

作者：

Devi, M. Sree ^{[1
]}

Rahamathulla, Vempalli ^{[2
]}

机构：

[1] SV Univ, Dept Comp Sci, Tirupati, Andhra Pradesh, India

[2] Sree Vidyanikethan Inst Management, Tirupati, Andhra Pradesh, India

来源：

ADVANCES IN DATA SCIENCE AND MANAGEMENT | 2020年 / 37卷

关键词：

Air quality monitoring; IoT sensors; Quality analysis; Big data analytics; Data logger;

D O I：

10.1007/978-981-15-0978-0_17

中图分类号：

TP301 [理论、方法];

学科分类号：

081202 ;

摘要：

Air is one of the major important concerns for human life. The survival of human life is completely depending on the air. So, the air is defined as "Lets Live the human life". The oxygen is much required for life. Fresh air contains more oxygen. More oxygen helps for the better functionality of the body. Nowadays, air is getting polluted due to heavy usage of chemicals, the use of petroleum products and the release of CO2. So, day by day, the purity of the air is maximum decreasing. Hence, it becomes necessary to monitor air pollution in various segments. The importance of air quality has been recognized in the early 1980s. Different techniques are used to measure air quality. Hence, we propose a newtechnique of Data science for analyzing the air quality and we have implemented IoT techniques to monitor the air quality.

引用

页码：181 / 187

页数：7

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