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Ladegutüberwachung durch ein autonomes energieautarkes drahtloses Sensornetzwerk (Cargo Condition Monitoring Based on an Autonomous Self-Powered Wireless Sensor Network)

Lookup NU author(s): Dr Cristian UlianovORCiD


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The ongoing Shift2Rail project INNOWAG (INNOvative monitoring and predictive maintenance solutions on lightweight WAGon) addresses challenges in the competitiveness of rail freight transport with regards to transport capacity, logistic capability, RAMS and LCC. For these purposes, an innovative wagon concept is proposed, integrating monitoring, predictive maintenance and lightweight design solutions. This article mainly presents the concept of a cargo condition monitoring system, based on an autonomous self-powered wireless sensor network. This customer-oriented monitoring system is expected to improve the logistic capability and thus the overall attractiveness of rail freight service. In addition, the sensor network is designed to enable additional add-on sensor nodes to monitor wagon conditions for the purpose of predictive maintenance and thus increase of reliability

Publication metadata

Author(s): Shi D, Hecht M, Ulianov C, Cheng L, Marin-Perianu R, Vincent D

Publication type: Article

Publication status: Published

Journal: ZEVrail Zeitschrift für das gesamte System Bahn

Year: 2018

Volume: 142

Issue: 8

Online publication date: 01/08/2018

Acceptance date: 01/03/2018

ISSN (print): 1618-8330

Publisher: Georg Siemens Verlag GmbH & Co. KG