ABSTRACT
The rough shape of the road surface in an underground deep copper ore mine is a source of external excitations to many systems and components of the underground mobile machines. Moreover, the geometry of mining corridors, driver’s skills and habits (dynamics of driving style), machine conditions etc., might have a serious influence on the overall dynamic load of such a machine. As a result, the construction of the mining machines used in the mines of KGHM Polska Miedź SA is exposed to extreme conditions. This applies to both operation close in mining face and driving in underground tunnels. There are cases of serious construction node damages in the machine due to the above-mentioned reasons. Thanks to some implemented onboard monitoring systems a lot of various types of data are acquired on regular basis with 1 second sampling frequency. In general, the purpose of the monitoring system was related to the daily production evaluation, maintenance, etc. In addition, it allows to analyze processes in the long term. However, due to mentioned factors, there are many transient events that negatively affect operation and condition of the machine and these situations are hard to identify using data acquired by the onboard system in the current configuration. In this work, we installed a portable vibration acquisition device (a smartphone) in a couple of machines to check if it is possible to identify experimentally the influence of road surface quality to dynamics and condition of the machine sub-systems (especially joints of components) and driver’s behavior (style of driving). First trials proved that while using vibration data we are able to parametrize and compare the daily activity of haul truck machine.
