Improving productivity in block/panel caving through dynamic confinement of semi-autonomous load-haul-dump machines

Pablo Espinoza, Jose; Ruiz Del Solar, Javier

Abstract

The incorporation of autonomous equipment is fuelling a revolution in mining, but it poses operational challenges due to potential hazardous interactions between humans and the autonomous machinery. For this reason, block and panel caving mines operate under a static confinement policy that stops all autonomous LHDs when workers must enter the production area, thus having a huge negative impact on productivity. To address this challenge, we propose two dynamic confinement policies, and we model them using discrete event simulation. Results show that the dynamic moderate/intensive policies may lead to increases in production of 35%/45% when compared with the static policy.

Más información

Título según WOS: Improving productivity in block/panel caving through dynamic confinement of semi-autonomous load-haul-dump machines
Título de la Revista: International #Journal of Mining Reclamation and Environment
Volumen: 36
Número: 8
Editorial: TAYLOR & FRANCIS LTD
Fecha de publicación: 2022
Página de inicio: 552
Página final: 573
DOI:

10.1080/17480930.2022.2077046

Notas: ISI