IOT BASED COAL MINE SAFETY MONITORING AND ALERTING SYSTEM
Author(s):
Shazia Sulthana, Madhukumari S Y, Minali J Kunder, Prapti K Yendigeri, Poornima Bajantri
Keywords:
Coal Mining, Safety Engineering, Internet of Things(IoT),Sensor, LoRaWAN, LPWAN
Abstract
Coal is one in everything about principal imperative fuel sources and is of most extreme significance to a few ventures. It is the chief indispensable local energy asset presented inside the coal mine. It's a perilous and presumably lethal task for the excavators in coal mineshafts as they face a few climate associated issues like intensity, dampness, arrival of unsafe gases. These elements produce a fairly perilous air for representatives to add up thus represents a critical put to their lives in extreme danger. As an approach to diminishing the force of the matter, a model has been fostered that detects the ecological boundaries from very surprising areas inside the mines and sends cautions to the mines control room so that proper activities are taken at whatever point there seems, by all accounts, to be a hazardous situation. Values will be consistently refreshed in the site page through IoT. LoRaWAN is a media access control (MAC) and multi-point convention for huge determination organizations. It allows low jumped up gadgets to talk with web of Things (IoT) applications over semi-permanent far off associations. The LoRaWAN might be a low-power, wide space organizing (LPWAN) convention upheld LoRa Technology. LoRaWAN is very correct savvy for its streamlining LPWAN for its change, battery capacity, solidness, and practical. In the underground mining, quite possibly diggers tumble down and black out. To resolve this issue, MEMS accelerometer has been utilized.
Article Details
Unique Paper ID: 156134

Publication Volume & Issue: Volume 9, Issue 2

Page(s): 1004 - 1009
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