Browsing by Subject "hard coal mining"

Now showing 1 - 4 of 4

Access status: Open Access ,
Decision-making in hard coal mines with the support of selected stochastic methods
(Wydawnictwa AGH, 2023) Snopkowski, Ryszard; Sukiennik, Marta; Napieraj, Aneta
The article presents selected methods of stochastic process modeling that can support decision-makers in Polish hard coal mines. It outlines the classification of determinants that have a significant impact on the processes carried out in the mines. The article also distinguishes between programmed and non-programmed decisions made by the management in the mines. In the following sections, three selected methods are presented, enabling decision-makers to make more effective decisions that may be crucial for the processes implemented in hard coal mines.
Access status: Open Access ,
Gospodarka zasobami złóż węgla kamiennego
(Wydawnictwa AGH, 2010) Kulczycki, Zdzisław; Sowa, Artur
It the paper, on background of changing of law regulation, the authors showed the general principles of development of resources of hard coal in period 1989-2009. They indicated the part of state mining authority in process extraction of deposits of hard coal. It the analysis of maintaining of the records of the economically viable geological resources and industrial resources were showed as resulting of mining activity. The authors presented changes of economically viable geological resources and industrial resources from actualizing deposits development plan by entrepreneurs.
Access status: Open Access ,
Symulacja stochastyczna w zastosowaniu do identyfikacji funkcji gęstości prawdopodobieństwa wydobycia
(Wydawnictwa AGH, 2005) Snopkowski, Ryszard
In this paper discusses application of the stochastic simulation method, as a method of alternative identification of the function of $f_{qz}(g_{z})$ random variable $Q_z$ - shift production and function $f_{qd}(g_{d})$ random variable $Q_d$ - daily production. The algorithms using random number generators were presented. It was noted that the use of the stochastic simulation method, could be more effective in resolving these issues, in some cases, when compared to the analytical method.
Access status: Open Access ,
Techniki eksploracji danych w zagadnieniach eksploatacji górniczej złóż węgla kamiennego
(Wydawnictwa AGH, 2009) Brzychczy, Edyta
The paper presents a review of data mining techniques applied to the mining process issues. At the beginning, the need of knowledge discovery is described and the characteristic of data according to the mining process of deposit are given. The importance of information in management of the mining process was emphasized. In the continuation, process of data exploration was described. Attributes of data were characterized as well as the examples of data analysis techniques according to the formulated exploration tasks. The data exploratory model could be created on the basis of the wide know methodologies. In the paper two methodologies were presented: Cross-Industry Standard Process for Data Mining (CRISP-DM) and SEMMA evolved in SAS Institute. In the continuation, examples of the selected exploratory techniques in analysis of the hard coal mining process elements are presented. The following techniques are described: linear regression, neural networks, decision trees, clustering algorithms and association rules. Described techniques were applied to problems such as: methane threat prognosis, longwall gates compression, analysis of longwall equipment, analysis of longwall gate equipment and research on similarity of mining excavations.