GSM Based Coal Miners Safety Monitoring Helmet

Rishi G. Vardhan, Madhan Kumar, Sunil Goud, Dr. S. Ramani

Abstract


 A Coal Miners sensible Helmet is  a wearable device that will facilitate coal miners keep safe. Observance the protection of coal miners' operating conditions are often finished in  this device. It monitors the temperature, humidity, harmful gas concentration, and vibration. The information is analyzed and sent to the room and therefore the room decides that action must be taken supported the parameters sent. This paper uses LoRa communication technology alongside GSM to send and receive info, and Arduino to method the knowledge. Sensors like MQ02, DHT11, IR sensor, and vibration detector square measure won’t to get the parameters. the most objective of victimization LoRa communication is to form positive the communication is robust even within the longer varies wherever Zigbee runs out of range. The vary provided by Zigbee is up to three hundred meters whereas the vary for LoRa are often up to five metric linear unit counting on the traffic therein space. The Arduino microcontroller processes the knowledge received from the detector and sends it via GSM.


Keywords


Smart Helmet, LoRa, GSM, IoT, coal mines safety monitoring, mobile application.

References


P. Karthik, B. Muthu Kumar, K. Suresh, I.M. Sindhu, C.R. Gopalakrishna Murthy, “Design and implementation of helmet to track the accident zone and recovery using GPS and GSM”, Advanced Communication Control and Computing Technologies (ICACCCT),IEEE, 25–27 May 2016.

Shirish Gaidhane1, Mahendra Dhame, Rizwana Qureshi, “Smart Helmet for Coal Miners using Zigbee Technology” Imperial Journal of Interdisciplinary Research (IJIR) Vol-2, Issue 6, 2016.

S. Tapadar, S. Ray, H.N. Saha, A.K. Saha, and R. Karlose, “Accident and alcohol detection in Bluetooth enabled smart helmets for motorbikes,” in Proceedings of the 2018 IEEE 8th Annual Computing and Communication Workshop and Conference (CCWC’18), 2018.

International Journal of Science, Engineering and Technology Research (IJSETR) Volume 6, Issue 8, August 2017, ISSN: 2278-798 ―Microcontroller Based Smart Helmet for Coal Miners Safety‖ First author-Sunil E. Waghmare, Second author-Prof. Ashish Manusmare, Third author – Prof.Vijay Roy

David Kokkan RENNY, Rajeshkumar Joshi KISHAN. “Safety helmet device”, Publication numberWO2015162624 A2, US Patent, Apr 15, 2015.

J. Jo and H. Kim, “Development of a safety index to identify differences in safety performance by postal delivery motorcyclists based either in different regional post offices or within the same regional office,” International Journal of GeoInformation, vol. 6, article 324, pp. 1–20, 2017.

S. Issaoui, R. Ejbeli, T. Frikha, and M. Abid, “Embedded approach for edge recognition: Case study: Vehicle registration plate recognition,” in Proceedings of the 2016 13th International Multi-Conference on Systems, Signals & Devices (SSD’16), 2016, pp. 336–340.

Xu sheng Z and Yunlong Z. 2010. Accident cause analysis and counter measure of coal and gas outburst nearly two years of our country [J]. Mining Safety and Environmental Protection. 37(1): 84–87.

Vijay J, Saritha B, Priyadharshini B, Deepeka S and Laxmi R (2011), “Drunken Drive Protection System”, International Journal of Scientific & Engineering Research, Vol. 2, No. 12

R. Prudhvi Raj, Ch. Srikrishna Kanth, A. Bhargav, K. Bharath, “Smart-tec helmet”, Advance in Electronic and Electric engineering, Vol 4, No 5,2014.

Sudhir Rao Rupanagudi; Sumukha Bharadwaj; Varsha G. Bhat; et al., A novel video processing based smart helmet for rear vehicle intimation & collision avoidance, 2015 International Conference on Computing and Network Communications (CoCoNet).


Refbacks

  • There are currently no refbacks.


Copyright (c) 2022 Recent Trends in Electronics and Communication Systems