SUNConferences, 29th Annual Conference of SAIIE

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Stephan van Jaarsveld, Wihan van Blerk, Johannes Hendry Marais, Pieter Goosen

Last modified: 2018-10-09


Underground mining operations comprise complex systems that provide the service areas with cold water, compressed air and ventilation. Equipment is located on the surface and underground, which makes the monitoring thereof a challenging task. 
A condition monitoring process on deep mines involves several types of parameters and equipment. Software tools and applications are used to analyse the raw data and identify operational risks. This automated analysis results in a substantial amount of risk information being generated on a regular basis. It is therefore necessary to examine the information for knowledge discovery to take place.
A software-based application was developed to categorise the risk information according to system class, parameter type and risk severity over a selected date range. The solution enables site managers to determine where critical risks occur repeatedly and what the maintenance impact is.
The newly developed application was used to evaluate the risk information of six mining sites over a period ranging from six to 12 months. Up to 96 daily risk identifiers per site were evaluated resulting in more than 17 000 values over a period of six months. The application and associated reports facilitated the identification of problem areas within the respective operation.

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