Analysis of a Mining Process Performance in a Longwall Face - Visualization Proposals

被引:0
作者
Brzychczy, Edyta [1 ]
Napieraj, Aneta [1 ]
机构
[1] AGH Krakowie, Krakow, Poland
来源
INZYNIERIA MINERALNA-JOURNAL OF THE POLISH MINERAL ENGINEERING SOCIETY | 2019年 / 02期
关键词
mining process; longwall face; data visualisation; process analysis;
D O I
10.29227/IM-2019-02-41
中图分类号
TD [矿业工程];
学科分类号
0819 ;
摘要
Analysis of multi-sourced data sets for process improvement purposes requires the selection of relevant techniques enabling data visualisation. There are two main approaches in this scope. The first is based on a raw data and requires from the user determination of properties or patterns while the second one is based on computation of aggregate properties and presentation of the derived data. In the paper we propose to visualize aggregated data in relation to spatial dimension for gaining additional knowledge about process performance. We present an example of performance analysis of machinery used in specific kind of industrial process, namely longwall mining. Our proposals extend range of visualisations that can be used in mining process analysis as well as can be applied in longwall monitoring dashboards and for reporting purposes.
引用
收藏
页码:251 / 258
页数:8
相关论文
共 24 条
[1]   Task-Driven Evaluation of Aggregation in Time Series Visualization [J].
Albers, Danielle ;
Correll, Michael ;
Gleicher, Michael .
32ND ANNUAL ACM CONFERENCE ON HUMAN FACTORS IN COMPUTING SYSTEMS (CHI 2014), 2014, :551-560
[2]  
[Anonymous], BELL TELEPHONE LAB S
[3]  
[Anonymous], 2009, Introduction to Statistical Quality Control
[4]  
Brzychczy E., 2018, ZESZYTY NAUKOWE POLI, V125, P35
[5]  
Douglas M, 1998, CUMULATIVE SUM CHART
[6]  
Duzy S., 2007, GOSPODARKA SUROWCAMI, V23
[7]  
Jasiulek D., 2018, J MACHINE CONSTRUCTI, V2, P109
[8]  
Jugel U, 2017, THESIS
[9]   M4: A Visualization-Oriented Time Series Data Aggregation [J].
Jugel, Uwe ;
Jerzak, Zbigniew ;
Hackenbroich, Gregor ;
Markl, Volker .
PROCEEDINGS OF THE VLDB ENDOWMENT, 2014, 7 (10) :797-808
[10]   Seasonal ARMA-based SPC charts for anomaly detection: Application to emergency department systems [J].
Kadri, Farid ;
Harrou, Fouzi ;
Chaabane, Sondes ;
Sun, Ying ;
Tahon, Christian .
NEUROCOMPUTING, 2016, 173 :2102-2114