4.0 Article

IN2CLOUD: A novel concept for collaborative management of big railway data

期刊

FRONTIERS OF ENGINEERING MANAGEMENT
卷 4, 期 4, 页码 428-436

出版社

HIGHER EDUCATION PRESS
DOI: 10.15302/J-FEM-2017048

关键词

railway; intelligent asset management; collaborative learning; big data; hybrid cloud; Bayesian

资金

  1. Lulea Railway Research Centre (Jarnvagstekniskt Centrum, Sweden)
  2. Swedish Transport Administration (Trafikverket)
  3. NSFC [71731008]

向作者/读者索取更多资源

In the EU Horizon 2020 Shift2Rail Multi-Annual Action Plan, the challenge of railway maintenance is generating knowledge from data and/or information. Therefore, we promote a novel concept called IN2CLOUD, which comprises three sub-concepts, to address this challenge: 1) A hybrid cloud, 2) an intelligent cloud with hybrid cloud learning, and 3) collaborative management using asset-related data acquired from the intelligent hybrid cloud. The concept is developed under the assumption that organizations want/need to learn from each other (including domain knowledge and experience) but do not want to share their raw data or information. IN2CLOUD will help the movement of railway industry systems from local to global optimization in a collaborative way. The development of cutting-edge intelligent hybrid cloud-based solutions, including information technology (IT) solutions and related methodologies, will enhance business security, economic sustainability, and decision support in the field of intelligent asset management of railway assets.

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