SMART MINING SYSTEM USING ATMEGA328 MICRO CONTROLLER
Akanksha Gosavi
, Megha Jadhav , Priyanka Navle
Node MCU, Temperature Sensor, IOT Module, Cloud, Data Logging, Accident
The accidents in mines are increased day by day. There are numerous life losses of many skilled workers and laborers. There is no advent precaution measure to detect the alarming cause of the mine accidents and provide an alert system. Occupational accidents and occupational diseases are common in the mining. The most common causes of accidents in mining are firedamp and dust explosions, landslips, mine fires, and technical failures related to transport and mechanization. An analysis of occupational accidents in the consideration of social and economic factors reports that the real causes behind these accidents, which are said to happen inevitably due to technical deficiencies or failures. Thus an automated alarming mine accident detect ion system is employed to rescue and protect the workers from the hazards. This system incorporates the combined action of the temperature, pressure and gas sensor and IOT module to detect the temperature, pressure and atmosphere in the mine and log every data onto the cloud using data logging. Then these data are accepted by a admin controlled sever page through data acquisition. The data processing takes place at a server page and the alert is send to the device to glow the alarm and to the concerned officials and rescue stations for taking the prevention measures.
"SMART MINING SYSTEM USING ATMEGA328 MICRO CONTROLLER", IJSDR - International Journal of Scientific Development and Research (www.IJSDR.org), ISSN:2455-2631, Vol.7, Issue 5, page no.181 - 184, May-2022, Available :https://ijsdr.org/papers/IJSDR2205035.pdf
Volume 7
Issue 5,
May-2022
Pages : 181 - 184
Paper Reg. ID: IJSDR_200395
Published Paper Id: IJSDR2205035
Downloads: 000347186
Research Area: Engineering
Country: -, -, -
ISSN: 2455-2631 | IMPACT FACTOR: 9.15 Calculated By Google Scholar | ESTD YEAR: 2016
An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 9.15 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator
Publisher: IJSDR(IJ Publication) Janvi Wave