A dynamic information platform for underground coal mine safety based on internet of things

2019 ◽  
Vol 113 ◽  
pp. 9-18 ◽  
Author(s):  
Yaqin Wu ◽  
Mengmeng Chen ◽  
Kai Wang ◽  
Gui Fu
2013 ◽  
Vol 321-324 ◽  
pp. 767-770 ◽  
Author(s):  
Yan Jun Qi

In order to find out the status of unmanned area and staff position in mine, the important content for intelligent mine is the detection and location of personnel underground. Analyze the architecture of location system and location principle based on Internet of Things (IoTs) along with ZigBee wireless networks and pyroelectric sensor technology. In the meantime, Install test wireless network nodes and achieve measurement data. The results show that this technique is suitable for the worse physical conditions in mine, lower in cost, higher accuracy in location and detection. The scheme can greatly improve the level of coal mine safety production and reduce the occurrence of catastrophes and casualties.


2021 ◽  
Vol 23 (07) ◽  
pp. 1205-1209
Author(s):  
Maheswaran U ◽  
◽  
Bhuvaneeshwaran V ◽  
Hemanathan M ◽  
Jawahar K ◽  
...  

Many coal miners are concerned about their safety in the workplace. Within subsurface mines, poor ventilation exposes workers to toxic gases, heat, and dust, which can lead to sickness, injury, and death. With the aid of an ARM controller, this work proposes a concept for an Internet of things (IoT), wireless sensor network (WSN) that can track temperature, humidity, and gas in an underground mine. This device uses a low-power, less-cost Arduino UNO, Node MCU, DHT11 sensor, gas sensor, fire sensor to detect fire and send an alarm, and LDR to detect light depending on light levels. Conventional coal mineshaft observing frameworks are regularly wired organization frameworks that assume a significant part in guaranteeing coal mineshaft security. With the ceaseless extension of mining zones and profundity in coal mineshafts, numerous laneways have become visually impaired territories with various secret risks. Furthermore, laying cables, which is costly and time-consuming, is inconvenient. To address the issues, a coal mine safety monitoring system based on a wireless sensor network and the Internet of Things, which can increase the monitoring level is created. Many micro-sensor nodes with small volumes and low costs make up an IoT and wireless sensor network.


2012 ◽  
Vol 14 (4) ◽  
pp. 454-459
Author(s):  
Xiaobo XU ◽  
Hualing WU ◽  
Jianqiang WANG ◽  
Shengping WANG

Sign in / Sign up

Export Citation Format

Share Document