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Please use this identifier to cite or link to this item:
http://hdl.handle.net/10204/5611
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| Title: | The automation of the "making safe" process in South African hard-rock underground mine |
| Authors: | Teleka, SR Green, JJ Brink, S |
| Keywords: | Mining Hard-rock Fall of ground (FOG) Narrow tabular ore-body (stope) Rock mass stability South African hard-rock mines Underground mine safety |
| Issue Date: | Jul-2011 |
| Citation: | Teleka, SR, Green, JJ and Brink, S. The automation of the "making safe" process in South African hard-rock underground mine. 26th International Conference on CADCAM, Robotics & Factories of the Future 2011, Kuala Lumpur, Malaysia 26-28 July 2011 |
| Series/Report no.: | Workflow;8223 |
| Abstract: | In South African hard-rock mines, best practice dictates that the hanging-walls be inspected after blasting. This process is known as ‘making safe’ and although intended to save lives, it is laborious and subjective. Pressure is placed on the barrer (inspector) to conduct the test quickly and efficiently as daily operations can only continue after the area has been declared safe. The process involves the barrer tapping the potentially loose rock mass with a sounding bar, listening to and assessing the generated acoustics, and deciding whether it is intact or loose. For a loose rock mass, the barrer would either bar it down or support it. For the purposes of this report, only the ‘making safe’ process is considered. It is highly dangerous and limits the critical decision making to the experienced barrer. Fatality rates due to falls of ground (FOG) can be reduced by implementing a simple tool that will give consistent results in the ‘making safe’ exercise. |
| Description: | 26th International Conference on CADCAM, Robotics & Factories of the Future 2011, Kuala Lumpur, Malaysia 26-28 July 2011 |
| URI: | http://hdl.handle.net/10204/5611 |
| Appears in Collections: | Technology for special operations Mining and geoscience Analytical science Sensor science and technology Wireless technologies Digital intelligence General science, engineering & technology
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