M. Prashanth, A. Lelinadevi, Knowledge Institute of Technology, Salem, Tamilnadu, India.
DOI : 01.0401/ijaict.2015.12.08
International Journal of Advanced Information and Communication Technology
Received On : June 10, 2018
Revised On : July 13, 2018
Accepted On : August 12, 2018
Published On : September 05, 2018
Volume 05, Issue 09
Pages : 950-954
Abstract
Coal mining has various fatal factors which menace the people. After a coal mine disaster the situation inside the tunnel is very dangerous as well as situation inside the tunnel is not known to the rescuers. Entering into a mine without knowing the exact situation is dangerous as the chances of second explosion is high as well as the disaster results in increased level of harmful gases like CO,CO2,decreased oxygen level and high temperature. Many rescuers are killed by this increased level of harmful gases and second explosion. Detecting this situation inside the tunnel is main objective of this paper. The robot can go into the explosive environment with autonomous obstacle avoidance system. The sensors Senses the harmful gases such as CO, CO2, Methane, temperature and transmits the data through wireless module. A coal mine robot can move into the mine and detect the level of different toxic gases and temperature level and send the result to the control room. At present, rescue robot using 8052 microcontroller senses the harmful gases & temperature condition in the mine and transmit the data via zigbee wireless technology. In the proposed method, the data can be transmitted through MSP430 based long range wireless module(CC1120) and the controller used for this project is MSP430.The coal mining rescue robot having ultralow power consumption and compact in size.
Keywords
Mixed Signal Processor 430, Sensors, Wireless Module.
Cite this article
M. Prashanth, A. Lelinadevi, “Wireless Robot for Coal Mines Based On Mixed Signal Processor (Msp430)” INTERNATIONAL JOURNAL OF ADVANCED INFORMATION AND COMMUNICATION TECHNOLOGY, pp.950-954, September 05, 2018.
Copyright
© 2018 M. Prashanth, A. Lelinadevi. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.