Advanced Muck Pile Characterization for Optimized Blast Design and Excavator Loading Efficiency: A Synergistic Approach Using UAVs, PCA, and AI

Journal Title: GeoStruct Innovations - Year 2024, Vol 2, Issue 4

Abstract

Muck pile characteristics play a pivotal role in optimizing mining operations, particularly in understanding the post-blast behavior of throw, drop, and lateral spread, which directly impacts the selection and performance of loaders. The parameters of blast design are crucial in determining muck pile formation, influencing both loader efficiency and overall operational productivity. This study explores the effects of various blast design parameters on key muck pile attributes through a series of controlled blast experiments. Principal component analysis (PCA) was employed to identify the blast design factors most influential on muck pile characteristics, enabling the formulation of precise blast designs. The experiments were conducted across four phases at the OCI RGIII mines of Singareni Collieries Company Limited (SCCL), using advanced blast planning software to ensure accurate parameter implementation based on PCA results. Muck pile characteristics were assessed with the assistance of sophisticated artificial intelligence (AI) tools, providing valuable insights into blast optimization. The results revealed that blast designs incorporating a 1.35 spacing-to-burden (S/B) ratio, 0.9(B) stemming, 1-meter decking, and a V firing initiation pattern significantly enhanced muck pile performance. Specifically, these configurations reduced drop height by 3 meters, decreased throw distance by 5.9 meters, and increased lateral spread by 19.3 meters. These optimized muck pile attributes facilitated smoother loader operation, ultimately improving loading efficiency and the overall productivity of mining processes.

Authors and Affiliations

Nidumukkala Sri Chandrahas, Yewuhalashet Fissha, Nageswara Rao Cheepurupalli

Keywords

Related Articles

Seismic Performance of Reinforced Concrete Bridge in Pan Borneo Highway Sarawak under the Influence of Seismic Loadings

Seismic performance is a critical consideration in the design and assessment of reinforced concrete bridges. Ensuring the structural integrity and safety of bridges under seismic loadings is essential to protect public s...

Advanced Analysis of Blast Pile Fragmentation in Open-Pit Mining Utilizing 3D Point Cloud Technology

An innovative approach utilizing 3D laser scanning technology has been introduced in open-pit mining for capturing spatial data of blast piles. RANSAC for plane fitting and DBSCAN for clustering are applied to outline ro...

Asymmetrical Deformation Mechanisms in Layered Inclined Surrounding Rock of Roadways

In the context of layered inclined surrounding rock in roadways, this study presents a comprehensive analysis focusing on the asymmetrical deformation characteristics inherent to such geological structures. The intersect...

Safe Mining Technology for Steeply Inclined Unstable Coal Seams

This study investigates the application of the horizontal stratified mining method to the extraction of steeply inclined unstable coal seams at the Puxi Mine. The stress environment in the mining area, the relationship b...

Brief Overview of the Thermal and Mechanical Properties of Wood, Steel, and Gypsum Board for Structural Connections

This study outlines the essential thermal and mechanical properties of wood, steel, and gypsum board, focusing on their application in timber-steel and timber-timber connections, as well as in protected and unprotected c...

Download PDF file
  • EP ID EP756127
  • DOI https://doi.org/10.56578/gsi020402
  • Views 6
  • Downloads 0

How To Cite

Nidumukkala Sri Chandrahas, Yewuhalashet Fissha, Nageswara Rao Cheepurupalli (2024). Advanced Muck Pile Characterization for Optimized Blast Design and Excavator Loading Efficiency: A Synergistic Approach Using UAVs, PCA, and AI. GeoStruct Innovations, 2(4), -. https://europub.co.uk/articles/-A-756127