No abstract

Mining machinery and equipment used in modern mining are equipped with sensors and measurement systems at the stage of their production. Measuring devices are most often components of a control system or a machine performance monitoring system. In the case of headers, the primary task of these systems is to ensure safe operation and to monitor its correctness. It is customary to collect information in very large databases and analyze it when a failure occurs. Data mining methods allow for analysis to be made during the operation of machinery and mining equipment, thanks to which it is possible to determine not only their technical condition but also the causes of any changes that have occurred. The purpose of this work is to present a method for discovering missing information based on other available parameters, which facilitates the subsequent analysis of machine performance. The primary data used in this paper are the currents flowing through the windings of four header motors. In the method, the original reconstruction of the data layout was performed using the R language function, and then the analysis of the operating states of the header was performed based on these data. Based on the rules used and determined in the analysis, the percentage structure of machine operation states was obtained, which allows for additional reporting and verification of parts of the process.

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Nowadays, the functioning of mining companies is conditional not only on the market situation, but also on the good relations with stakeholders. Good relations with recipients, suppliers, employees as well as with local communities and environmental organisations are of crucial importance. Social acceptance is becoming one of the primary conditions for mining operations. The main complaint faced by mining companies is their negative impact on the environment. It is, therefore, important to determine not only the measures aimed at reducing the negative impact of mining on the environment, but also the amount of expenditures allocated for this purpose. The main aim of this study is to analyse the investment outlays allocated for environmental protection. In order to support the aim of the study, a statistical analysis of data from 2003-2016 was carried out in terms of the structure of outlays for environmental protection: air and climate protection, water and sewage management, and soil protection, as well as protection against noise and vibration.