Probabilistic Modeling of Mining Production in an Underground Coal Mine

被引：1
|
作者：
Brzychczy, Edyta [1 ]
机构：
[1] AGH Univ Sci & Technol, Fac Min & Geoengn, Al Mickiewicza 30, PL-30065 Krakow, Poland
来源：
INTELLIGENT SYSTEMS IN PRODUCTION ENGINEERING AND MAINTENANCE | 2019年 / 835卷
关键词：
Modeling; Mining production; Stochastic networks; GERTS; GRAPHICAL EVALUATION; GERT; NETWORK;
D O I：
10.1007/978-3-319-97490-3_62
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
The article presents probabilistic modeling of mining production in hard coal mines with the application of stochastic networks. The paper includes basic definitions and assumptions of the evolved method and the systematic enabling the description of network activities. As a results of calculations according to the mathematical model the paper presents probability distributions of output for each production flow and for a whole mine in each of the calculated variants. To estimate the risk of output results the standard deviation of the distribution was assumed. Probability distributions form the basis of the optimization procedure. An application of the developed method in a coal mine is presented.
引用
收藏
页码：655 / 667
页数：13
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