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Improving the Maintenance of Railway Switches through Proactive Approach
Electronics ( IF 2.6 ) Pub Date : 2020-08-06 , DOI: 10.3390/electronics9081260
Gregor Papa , Špela Poklukar , Attila Frankó , Alberto Sillitti , Aleš Kancilija , Marjan Šterk , Csaba Hegedűs , István Moldován , Pal Varga , Mario Riccardi , Salvatore Esposito

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.

中文翻译:

积极主动地改善铁路道岔的维护

迫切需要以更高的容量和更频繁的速度进行大规模大众运输,这给铁路基础设施带来了压力。这些更改要求对维护活动进行改进,需要仔细计划这些维护活动,以尽可能减少对基础结构实际使用的影响。因此,以最有效的方式连续监视铁轨的技术设备至关重要。铁路开关在恶劣的环境条件下运行。然而,由于安全和经济因素,它们对可靠性的要求很高。它们的维护取决于所收集的数据以及应采取的纠正措施的决定。数据收集越频繁,决策周期越短;数据可视化越直观,对系统的信心就越大。本文提出了一些切实的结果,其中MANTIS概念被应用到铁路道岔的用例中,以引入对铁路轨道的连续监视和主动维护。给出的结果包括测量方法;测量数据的分析;交换机物理行为的概要分析和建模,包括公认的每个季节需要单独模型的需求;以及所收集数据的可视化。包括公认的每个季节需要单独的模型的需求;以及所收集数据的可视化。包括公认的每个季节需要单独的模型的需求;以及所收集数据的可视化。
更新日期:2020-08-06
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