|
|
|
题名
|
作者
|
年代
|
出处
|
被引量
|
| 1 | Development of underground mine monitoring and communication system integrated ZigBee and GIS显示文摘An automated underground mine monitoring and communication system based on the integration of new technologies is introduced to promote safety and health,operational management and cost-effectiveness.The proposed system integration considering Wireless Sensor Network(WSN) assisted Geographic Information System(GIS) enables to monitor and control underground mining applications from surface office.Based on the capabilities of WSNs,ZigBee network is adapted for near real-time monitoring,ventilation system control and emergency communication in underground mine.ZigBee nodes were developed to sense environmental attributes such as temperature,humidity and gases concentration;switching ON and OFF ventilation fans;and texting emergency messages.A trigger action plan for monitored attributes above normal and threshold value limits is programmed in the surface GIS management server.It is designed to turn the auxiliary fans on remotely or automatically in orange condition and sending evacuation messages for underground miners in unsafe(red) condition.Multi-users operation and 3D visualisations are other successful achievements of the proposed system for the underground monitoring and communication. | Moridi Mohammad Ali Kawamura Youhei Sharifzadeh Mostafa Chanda Emmanuel Knox Wagner Markus Jang Hyongdoo Okawa Hirokazu | 2015 | International Journal of Mining Science and Technology2015，25，5： | 11 |
| 2 | Illumination of parameter contributions on uneven break: phenomenon in underground stoping mines显示文摘One of the most serious conundrum facing the stope production in underground metalliferous mining is uneven break(UB: unplanned dilution and ore-loss). Although the UB has a huge economic fallout to the entire mining process, it is practically unavoidable due to the complex causing mechanism. In this study,the contribution of ten major UB causative parameters has been scrutinised based on a published UB predicting artificial neuron network(ANN) model to put UB under the engineering management. Two typical ANN sensitivity analysis methods, i.e., connection weight algorithm(CWA) and profile method(PM) have been applied. As a result of CWA and PM applications, adjusted Q rate(AQ) revealed as the most influential parameter to UB with contribution of 22.40% in CWA and 20.48% in PM respectively. The findings of this study can be used as an important reference in stope design, production, and reconciliation stages on underground stoping mine. | Jang Hyongdoo Topal Erkan Kawamura Youhei | 2016 | International Journal of Mining Science and Technology2016，26，6： | 2 |
| 3 | Optimizing overbreak prediction based on geological parameters comparing multiple regression analysis and artificial neural network显示文摘 | Hyongdoo Jang Erkan Topal | 2013 | Tunnelling and Underground Space Technology incorporating Trenchless Technology Research2013，，： | 1 |
您所在的机构暂未开通此部分的功能，请联系管理员