Mine waste dump material has no economic value to the industry. Therefore, the mine waste is dumped, forming slopes. Mine waste dump slopes obtain 30% to 50% of the mining area. To reduce the land occupancy of these slopes, they are created with high altitudes. Hence, they are susceptible to failure. Slope stability analysis is a major aspect of geotechnical engineering. Slope stability analyses are mostly done with assumptions on the geometry. This is avoided in this paper with the usage of UAVs. The 3D model is created from UAV imagery of a coal mine in Raniganj coalfield, India. The model is fine‐tuned with the DGPS survey. Geotechnical data were collected and tested in the laboratory for various numerical analyses. An active mine waste dump slope is analyzed for slope failure. Earthquakes and rainfall cannot be controlled, and their effects on the stability of the mine waste dump slope were examined. The study extracted various factor of safety (FOS) analyses on static, seismic, and rainfall conditions. The seismic condition simulates a condition of the slope to be failed with low (0.948) FOS. However, rainfall condition predicts the slope to be more stable. The deformation pattern and magnitude of the slope failure are also discussed.
With the advancement of drone technology, the availability of different sensors has become more reliable and cost-effective for monitoring large open-pit mine project activities. Key advantages of drone technology, including low operational expenses, rapid revisit capabilities, deployment flexibility, and high precision, have established these systems as powerful instruments for monitoring open-pit mine areas. This paper aims to provide a comprehensive review of drone technology utilization in open-pit mine reclamation monitoring. Mining 4.0 has shown promise in open-pit mine monitoring for drone deployment for use in green mining practices. This review synthesizes current research on drone survey platforms, various sensor technologies, and their practical field applications within open-pit mines for mine reclamation monitoring. This review study aims to establish a robust framework for the monitoring and management of mine reclamation. This study will provide a technically reliable reference, advancing the knowledge and application of drone technology for reclamation monitoring and management.
The majority of coal mines in India use open-cast mining method to extract coal. The amount of overburden produced by the mine is increased as a result of the increased working depth and higher stripping ratio. Land scarcity is the major problem of the overburden management with stability in the mine area. Optimizing the dump geometry is an alternative way of overburden management in the mine area with stability. This investigation addresses the effect of seismic loading on the dump with the different geometric configurations. This study used the finite difference method-based numerical solver (FLAC2D software). The numerical model results show that the dump is stable under static conditions. The investigation results show that the dump slope toe is sensitive to dynamic conditions. This investigation results will be helpful for the identification of susceptible zone in the dump slope. And based on this investigation results can make decisions for real-time slope monitoring sensor installation in the critical zone.