An intelligent context-aware system for logistics asset supervision service

Conference paper (2016)

Authors

F. Feng Transport Engineering and Logistics - Mechanical, Maritime and Materials Engineering
Y. Pang Transport Engineering and Logistics - Mechanical, Maritime and Materials Engineering
G. Lodewijks Transport Engineering and Logistics - Mechanical, Maritime and Materials Engineering
Research Group
Transport Engineering and Logistics (Mechanical, Maritime and Materials Engineering) (TU Delft)
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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

The use of Information and Communication Technology (ICT) has touched various aspects in the domain of transport engineering and logistics (TEL). As the development of TEL tends to be more complex in operation and large in scale, recent practices start to pay more attentions on improving system robustness and reliability. In addition, current ICT innovations (such as WSN and IOT) could record and deliver system descriptors (physical measurements, virtual resources, operational configurations) in real time. Such large-stream and heterogeneous data requires an integrated framework to process and management. To address such challenges, in this paper, a novel concept of context-aware supervision is proposed. An intelligent system with integration of semantic web and agent technology is proposed to support the concept realization, which aims at providing condition-monitoring and maintenance service to relevant user. A generic ontology-agent based framework will be illustrated. Finally, it will be applied for the supervision of a large-scale material handling system- belt conveying system as a proof-of-concept.