Monitoring Carbon dioxide Level For Allergic Person Using IoT
Author(s):
Kumar Abhishek Gaurav, Ladly Patel, Savita Vijay
Keywords:
MQ-135 sensor, Command Line Interface (CLI), Internet of Things, Telegram Bot, Raspberry Pi (RPI)
Abstract
Almost every metro cities in India are facing problems such as water, pollution, population etc. for which no proper managements are being done. In this paper one problem among above is discussed is air pollution.. Air pollution severely affects human health leading to several respiratory diseases like asthma, lung cancer, pneumonia etc. . The concerned is to develop an automatic system to monitor air quality and alert the concerned authority as well as residents those who are using the system if pollution level increases more than a threshold value. Air quality sensors, such as MQ 135, MQ 2 can accurately detect level of CO2 in air. The data collected by sensor is sent to information processing centre through wireless medium using an emerging technology Internet of Things (IoT). This system is deployed at Dayananda Sagar University (DSU) campus, IBM lab. Data was collected from lab at ideal condition, Kudllu Gate traffic signal, and BTM. The experimental results were compared with air quality index (AQI) Bengaluru the observation resulted that BTM was most populated
Article Details
Unique Paper ID: 146594

Publication Volume & Issue: Volume 5, Issue 1

Page(s): 424 - 427
Article Preview & Download


Share This Article

Join our RMS

Conference Alert

NCSEM 2024

National Conference on Sustainable Engineering and Management - 2024

Last Date: 15th March 2024

Call For Paper

Volume 10 Issue 10

Last Date for paper submitting for March Issue is 25 June 2024

About Us

IJIRT.org enables door in research by providing high quality research articles in open access market.

Send us any query related to your research on editor@ijirt.org

Social Media

Google Verified Reviews