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Integrating robotic systems in underground roof support machine

Peter Kolapo, Steven Schafrik, Hejia Zhang, Stefanos Nikolaidis, Z. Agioutantis

Year
2024
Citations
2

Abstract

Traditionally, the roof bolting process is performed manually by skilled workers, which can be time-consuming and labor-intensive. It often exposes human operators to a number of risks. The bolt installation in underground coal mining operations involves moving and manipulating heavy tools quickly while being aware of the safety of the area. Hence, humans need to move away from an active mining face to a safer place where the operator can control and monitor the roof bolting process. This paper discusses the approach of incorporating a six-axis robotic arm and other specialized novel technologies into an existing roof bolter machine to replace human tasks, resulting in the automation of the roof bolting module. Due to the harsh mining conditions in underground coal mines, the integration of the robotic systems requires proper planning to ensure that they can operate reliably and safely. The methodology adopted in integrating the robotic system in this study can serve as a robotic system concept for underground mining roof bolting operations. This study highlights some of the specifications to be considered when automating underground mining machines. Results show that a robotic arm that performs human tasks during roof bolting operations can be successfully integrated into a roof bolting module by establishing a robust communication network to facilitate seamless interaction between different hydraulic, mechanical, and electronic components.

Keywords

RoofCoal miningBoltingProcess (computing)AutomationUnderground mining (soft rock)EngineeringRobotComputer scienceArtificial intelligence

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