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IN2CLOUD: A novel concept for collaborative management of big railway data |
Jing LIN(), Uday KUMAR |
Division of Operation and Maintenance Engineering, Luleå University of Technology, Luleå 97187, Sweden; Luleå Railway Research Centre (JVTC), Luleå 97187, Sweden |
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Abstract 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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Keywords
railway
intelligent asset management
collaborative learning
big data
hybrid cloud
Bayesian
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Corresponding Author(s):
Jing LIN
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Just Accepted Date: 01 November 2017
Online First Date: 30 November 2017
Issue Date: 14 December 2017
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