IOT Based Smart Helmet for Air Quality Used for the Mining Industry

Authors(2) :-P. Roja, D. Srihari

A brilliant helmet has been created that can distinguish of dangerous occasions in the mines. In the advancement of head protector, we have considered the primary danger that is air quality. The first is the fixation level of the risky gasses, for example, CO, SO2, NO2, and particulate issue. The wellbeing head protectors don't have any innovation added to it to tell excavators when a kindred digger has experienced an unsafe occasion. Lately, gathering innovation has assumed an essential part in the territory of mine applications. The writing on mines innovation is accessible yet exceptionally restricted. This project focuses on a mine supervising system monitor using IOT. Our project aims at developing a wireless sensor networks, realized real-time surveillance with early-warning intelligence on harmful gases in mining area and used GPRS to monitor potential safety problems in coal production using a IOT technology. In addition to that it gives alarm sound using buzzer when any harmful gas is detected and person not wear helmet. In the LCD the data is displayed.

Authors and Affiliations

P. Roja
PG Scholar, Department of ECE (Embedded Systems), SVCET, Chittoor , AndhraPradesh, India
D. Srihari
Associate Professor, Department of ECE, SVCET, Chittoor , AndhraPradesh, India

Arduino, Gas Sensors, GSM Module, Internet of Things, IR Sensor, Mining and Safety

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Publication Details

Published in : Volume 4 | Issue 8 | May-June 2018
Date of Publication : 2018-06-30
License:  This work is licensed under a Creative Commons Attribution 4.0 International License.
Page(s) : 514-521
Manuscript Number : IJSRSET1848110
Publisher : Technoscience Academy

Print ISSN : 2395-1990, Online ISSN : 2394-4099

Cite This Article :

P. Roja, D. Srihari, " IOT Based Smart Helmet for Air Quality Used for the Mining Industry, International Journal of Scientific Research in Science, Engineering and Technology(IJSRSET), Print ISSN : 2395-1990, Online ISSN : 2394-4099, Volume 4, Issue 8, pp.514-521, May-June-2018.
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