Prototype of Coal Mines Safety Monitoring And Alerting System Using IoT

The coal mining sector's hazardous conditions necessitate robust safety measures. IoT technology revolutionizes safety protocols by enabling gas, fire detection, temperature, humidity detection, and swift emergency responses. The work demonstrates a model prototype that collects the data from environmental changes through sensors and stores the values in the cloud. The controller can examine and take necessary actions. The prototype can be controlled by using an APP on mobile. LoRaWAN gateways ensure seamless sensor data transmission to central control, integrating with Thing Speak for real-time analysis and visualization. The system uses Arduino UNO at the transmitter end and ESP8266 at the receiver end and promptly alerts unsafe conditions and triggers automated shutdowns and evacuations during emergencies. Notably, sensors on a mobile-controlled robotic platform, facilitated by Bluetooth, offer dynamic protection, unlike static setups prone to damage during explosions. This paper addresses a comprehensive approach that enhances safety, minimizes downtime, fosters communication, and addresses privacy concerns in coal mining operations.

Authors

Institutions

Publication Details

Published
2024-08-08
DOI
https://doi.org/10.1109/iccpct61902.2024.10672846
Citations
2
Primary Topic
IoT-based Smart Home Systems
Type
article
Field-Weighted Citation Impact
0.21
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Prototype of Coal Mines Safety Monitoring And Alerting System Using IoT

B. Mukesh, D. Nagadevi, E. Sai Teja Goud, J Ganesh
2 citations
IoT-based Smart Home Systems
0.21
article

Prototype of Coal Mines Safety Monitoring And Alerting System Using IoT

B. Mukesh, D. Nagadevi, E. Sai Teja Goud, J Ganesh
article en
2 citations

Abstract

The coal mining sector's hazardous conditions necessitate robust safety measures. IoT technology revolutionizes safety protocols by enabling gas, fire detection, temperature, humidity detection, and swift emergency responses. The work demonstrates a model prototype that collects the data from environmental changes through sensors and stores the values in the cloud. The controller can examine and take necessary actions. The prototype can be controlled by using an APP on mobile. LoRaWAN gateways ensure seamless sensor data transmission to central control, integrating with Thing Speak for real-time analysis and visualization. The system uses Arduino UNO at the transmitter end and ESP8266 at the receiver end and promptly alerts unsafe conditions and triggers automated shutdowns and evacuations during emergencies. Notably, sensors on a mobile-controlled robotic platform, facilitated by Bluetooth, offer dynamic protection, unlike static setups prone to damage during explosions. This paper addresses a comprehensive approach that enhances safety, minimizes downtime, fosters communication, and addresses privacy concerns in coal mining operations.

Chaitanya Bharathi Institute of Technology (IN)
Openalex Percentile: Top 48%
IoT-based Smart Home Systems
0.21
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.