An automated underground space monitoring and communication system based on wireless sensor networks

QR Code

An automated underground space monitoring and communication system based on wireless sensor networks

In the challenging environment and cutting-edge technology in mining industry, reliable and effective communication is a high-stake issue, along with the objectives of safe and efficient underground mining operations. Automation through remote and automatic systems has delivered improvements in work...

Full description

Bibliographic Details
Main Authors:	Moridi, Mohammad Ali, Sharifzadeh, Mostafa, Jang, Hyong Doo, Kawamura, Youhei
Format:	Conference Paper
Published:	Springer 2019
Subjects:	resources engineering and extractive metallurgy
Online Access:	http://hdl.handle.net/20.500.11937/77322

Similar Items

Implementation and Verification of a Wi-Fi Ad Hoc Communication System in an Underground Mine Environment
by: Ikeda, H., et al.
Published: (2020)

Development of wireless sensor networks for underground communication and monitoring systems (the cases of underground mine environments)
by: Moridi, M., et al.
Published: (2018)

Development of an Underground In-Situ Stress Monitoring System for Mining Safety Using Multi Sensor Cell and Wi-Fi Direct Technology
by: Ikeda, H., et al.
Published: (2019)

Underground Blasting Optimization by Artificial Intelligence Techniques
by: Jang, Hyong Doo, et al.
Published: (2013)

Illumination of contributing parameters of uneven break in narrow vein mine
by: Jang, Hyong Doo, et al.
Published: (2019)

An investigation on applicability of Wireless Sensor Network in Underground Space Monitoring and Communication Systems
by: Sharifzadeh, Mostafa, et al.
Published: (2015)

University Students’ Preferences for Labour Conditions at a Mining Site: Evidence from Two Australian Universities
by: Ito, Yutaka, et al.
Published: (2020)

Application of deep learning approaches in igneous rock hyperspectral imaging
by: Sinaice, Brian, et al.
Published: (2019)

Visualization of Predicted Ground Vibration Induced by Blasting in Urban Quarry Site Utilizing Web-GIS
by: Moriyama, Y., et al.
Published: (2019)

Damage Diagnosis of Drill Bit while Drilling using Wavelet Transform Analysis
by: Jang, Hyong Doo
Published: (2020)

Tunnel Overbreak Management System Using Overbreak Resistance Factor
by: Jang, Hyong Doo
Published: (2020)

Australian Mining Transformation and Future Prospects in Response to the 4th Industrial Revolution
by: Jang, Hyong Doo
Published: (2019)

A study of problems & solutions of the domestic field blasting
by: Jang, Hyong Doo
Published: (2006)

Development of a Remote Rock Fragmentation Size Distribution Measurement System for Surface Mines Using 3D Photogrammetry
by: Tungol, Z., et al.
Published: (2019)

Effects of Overused Top-hammer Drilling Bits
by: Hwang, S., et al.
Published: (2019)

Development of Underground Mine Communication and Monitoring System by Using ZigBee Technology
by: Kawamura, Youhei, et al.
Published: (2014)

Transformation of the Australian mining industry and future prospects
by: Jang, Hyong Doo, et al.
Published: (2020)

Slope stability analysis at OO Inc. in Nam-pyong
by: Jang, Hyong Doo, et al.
Published: (2009)

RMR in Urban Tunnel with Risk Factor of Collapse
by: Jang, Hyong Doo, et al.
Published: (2010)

A Comparative Performance Analysis of Wireless Sensor Network Topologies for Underground Spaces Monitoring
by: Moridi, M., et al.
Published: (2016)

Stability Analysis of Mine Drift for Explosive Welding
by: Jang, Hyong Doo, et al.
Published: (2010)

Stability analysis of mine drifts under pressured by blasting welding performance
by: Jang, Hyong Doo, et al.
Published: (2010)

Development of Auto Scaling Method for 3D Rock Fragmentation Measurement System
by: Kawamura, Y., et al.
Published: (2017)

A case study on tunnel blasting design evaluation considering blast damage zone
by: Kang, Seong-Seung, et al.
Published: (2020)

Clustering Method of 3D Point Cloud of Muck-Pile Based on Connectivity of Adjacent Surface
by: Shishido, H., et al.
Published: (2019)

A study on controlling fracture growth of rock by shaped charge
by: Jang, Hyong Doo, et al.
Published: (2011)

An investigation of underground monitoring and communication system based on radio waves attenuation using ZigBee
by: Moridi, Mohammad, et al.
Published: (2014)

An Experimental Study of Concussion Blasting for Structural Steel
by: Jang, Hyong Doo, et al.
Published: (2011)

Non-electric Detonator Initiation System Using Spark Trigger
by: Jang, Hyong Doo, et al.
Published: (2011)

A shock tube triggers system using spark initiation device
by: Jang, Hyong Doo, et al.
Published: (2011)

Underground space communication and monitoring systems integrated ZigBee and GIS
by: Moridi, Mohammad, et al.
Published: (2015)

A failure behaviour analysis of temping effectiveness to concussion blasting
by: Jang, Hyong Doo, et al.
Published: (2011)

Study of the Blast Pattern to Improve the Effect on Fragmentation in a Small Sized Silica Mine in Korea
by: Jang, Hyong Doo, et al.
Published: (2012)

Development of underground mine monitoring and communication system integrated ZigBee and GIS
by: Moridi, M., et al.
Published: (2014)

Study on Optimization of Blast Design for Improving Fragmentation in Jeju Basalt Rock Area
by: Jang, Hyong Doo, et al.
Published: (2011)

Performance analysis of ZigBee network topologies for underground space monitoring and communication systems
by: Moridi, M., et al.
Published: (2018)

Development of a Landslide Observation System Using ZigBee Wireless Communication Technology
by: Kawamura, Youhei, et al.
Published: (2016)

Illumination of parameter contributions on uneven break phenomenon in underground stoping mines
by: Jang, Hyong Doo, et al.
Published: (2016)

Unplanned dilution and ore-loss optimisation in underground mines via cooperative neuro-fuzzy network
by: Jang, Hyong Doo
Published: (2014)

Decision support system of unplanned dilution and ore-loss in underground stoping operations using a neuro-fuzzy system
by: Jang, Hyong Doo, et al.
Published: (2015)

Cannot write session to /tmp/vufind_sessions/sess_3islnpl1uh316fud8uii5ns2u0