Sensing and Monitoring Technologies for Mines and Hazardous by Swadesh Chaulya, G. M. Prasad
By Swadesh Chaulya, G. M. Prasad
Sensing and tracking applied sciences for Mines and unsafe components: tracking and Prediction Technologies offers the basics of mining comparable geotechnical chance and the way the most recent advances in sensing and knowledge conversation can be utilized either to avoid injuries and supply early warnings.
Opencast mining operations contain large amounts of overburden elimination, dumping, and backfilling in excavated parts. immense raises within the price of accumulation of waste dumps in recent times has ended in better top of dumps and likewise has given upward push to the chance of sell off disasters as steeper open pit slopes are susceptible to failure. those disasters result in lack of important human lives and harm to mining equipment.
This ebook provides the latest advances in gasoline sensors, methane detectors, and tool cut-off structures. It additionally introduces tracking of the gasoline strata and surroundings, and an outline of using web of items and cloud computing for mining sensing and surveillance reasons. detailed at geotechnical and mining engineers, this quantity covers the newest findings and expertise to avoid mining injuries and mitigate the inherent hazard of the activity.
- Presents entire info of a real-time slope balance tracking procedure utilizing instant sensor networking and prediction method in accordance with multivariate statistical research of varied parameters and analytical hierarchy strategy methods
- Discusses cutting edge principles and new techniques of sensing applied sciences, mine shipping surveillance, electronic mining, and cloud computing to enhance safeguard and productiveness in mining industry
- Includes slope balance prediction software program, downloadable via a significant other site, which might be used for tracking, examining, and storing diverse sensors and delivering audio-visual, SMS, and electronic mail alerts
- Covers the most recent findings and know-how to avoid mining injuries and mitigate the inherent risk
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Extra resources for Sensing and Monitoring Technologies for Mines and Hazardous Areas. Monitoring and Prediction Technologies
2011). The precision of GPS data is indicated by the standard deviations of the measurements across the baseline. , 2008). The trend model has been found to be more suitable model for this data set (Sakurai and Shimizu, 2005). The system is cost effectiveness on a long-term basis. However, the system has limited accuracy for measurement of displacement in the slope. , 1996). When the amplitude and frequency of the reflected pulse are analyzed, the discontinuity or damage in a material is obtained.
5 gives recommended factors of safety for various conditions. , 2010a,b, 2011; Rasouli and Mahyar, 2011). Uncertainty in the values of critical parameters can be translated into variations in the FOS which can also be modeled statistically. 0, then a statistical measure of the likelihood of slope instability could be used (D’Andrea and Sangrey, 1982). Probabilistic analysis of slope stability has been described by Caldwell and Moss (1981) and Whittlestone et al. (1995), who illustrated the application of probability of failure analysis to dump design using the Y ¼ 0 method as described earlier.
0, then a statistical measure of the likelihood of slope instability could be used (D’Andrea and Sangrey, 1982). Probabilistic analysis of slope stability has been described by Caldwell and Moss (1981) and Whittlestone et al. (1995), who illustrated the application of probability of failure analysis to dump design using the Y ¼ 0 method as described earlier. Probabilistic methods require an additional step in the stability assessment and design process. In most of the cases, sufficient information on the variability of key material properties is unavailable.