Big data in bulk solids handling and transportation

Conference paper (2016)

Authors

G. Lodewijks Transport Engineering and Logistics - Mechanical, Maritime and Materials Engineering
Wei Li Wuhan University of Technology
Y. Pang Wuhan University of Technology
X. Jiang Wuhan University of Technology
Research Group
Transport Engineering and Logistics (Mechanical, Maritime and Materials Engineering) (TU Delft)
Internet of things Cloud computing Wide area networks (Computer networks) Radio frequency identification systems Fourier transformations Local area networks (Computer networks)
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Published Date

2016

Language

English

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Faculty

Mechanical, Maritime and Materials Engineering

Department

Marine and Transport Technology

Research Group

Transport Engineering and Logistics

Abstract

Big data these days is big business. Big data implies a combination of databases too large and/or too diverse to maintain by regular database management systems. Big data plays an ever-increasing role these days. This is caused by that fact that not only society started to collect more and more data via for example Facebook but also because more and more technical systems and components started to collect and store data; the so-called Internet of Things (IoT). The IoT enables that more information from sensor systems becomes available that was not available in the past. Theoretically this means that monitoring technical systems 24/7 should become reality and downtime and unexpected maintenance a thing of the past. This paper discusses the utilization of big data and the application of the IoT in bulk solid handling and transportation systems. It discusses recent developments and a case study.