Improving the Maintenance of Railway Switches through Proactive Approach

被引:6
|
作者
Papa, Gregor [1 ]
Poklukar, Spela [1 ,2 ]
Franko, Attila [3 ,4 ]
Sillitti, Alberto [5 ]
Kancilija, Ales [6 ]
Sterk, Marjan [6 ,7 ]
Hegedus, Csaba [4 ]
Moldovan, Istvan [4 ]
Varga, Pal [4 ]
Riccardi, Mario [8 ]
Esposito, Salvatore [8 ]
机构
[1] Jozef Stefan Inst, Ljubljana 1000, Slovenia
[2] Interenergo, Ljubljana 1000, Slovenia
[3] AITIA Int Inc, H-1039 Budapest, Hungary
[4] Budapest Univ Technol & Econ, Dept Telecommun & Media Informat, H-1117 Budapest, Hungary
[5] Innopolis Univ, Fac Comp Sci & Engn, Innopolis 420500, Russia
[6] XLAB, Ljubljana 1000, Slovenia
[7] Sinergise, Ljubljana 1000, Slovenia
[8] Hitachi Rail STS, I-80147 Naples, Italy
关键词
proactive maintenance; railway switch; data processing; measuring system; data visualization; cyber-physical systems; SUPPORT;
D O I
10.3390/electronics9081260
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
A strong necessity for faster mass transport with high capacities and frequent runs has put pressure on railway infrastructure. These changes require an improvement in the maintenance activities that need to be planned carefully to reduce as much as possible their impacts on the actual use of the infrastructure. As a consequence, it is crucial to continuously monitor the technical equipment of the railroad tracks in the most efficient way. Railway switches operate in harsh environmental conditions. However, their reliability requirements are high due to safety and economic factors. Their maintenance depends on the data collected and the decisions on due corrective actions. The more frequent the data collection, the shorter the decision cycle; and the more intuitive the data visualization, the better the confidence in the system. This paper presents some tangible results, where the MANTIS concepts were applied to the use-case of railway switches to introduce continuous monitoring and proactive maintenance of the railroad tracks. The presented results include the measurement method; the analysis of the measured data; the profiling and modelling of the physical behaviour of the switch, including the recognized need to have separate models per season; and the visualization of the gathered data.
引用
收藏
页码:1 / 21
页数:21
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