An Inland Shore Control Centre for Monitoring or Controlling Unmanned Inland Cargo Vessels

Augmenting the automation level of the inland waterway cargo transport sector, coupled with mechatronic innovation in this sector, could increase its competitiveness. This increase might potentially induce a sustainable paradigm shift in the road-dominated inland cargo transport sector. A key enable...

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Bibliographic Details
Main Authors: Gerben Peeters, Gökay Yayla, Tim Catoor, Senne Van Baelen, Muhammad Raheel Afzal, Christos Christofakis, Stijn Storms, René Boonen, Peter Slaets
Format: Article
Language:English
Published: MDPI AG 2020-09-01
Series:Journal of Marine Science and Engineering
Subjects:
SCC
USV
ASV
Online Access:https://www.mdpi.com/2077-1312/8/10/758
Description
Summary:Augmenting the automation level of the inland waterway cargo transport sector, coupled with mechatronic innovation in this sector, could increase its competitiveness. This increase might potentially induce a sustainable paradigm shift in the road-dominated inland cargo transport sector. A key enabler of this envisaged shift may be an inland shore control centre (I-SCC) capable of remotely monitoring and controlling inland vessels. Accordingly, this study investigated the concept and design requirements to achieve an inland I-SCC that provides interaction services when supervising an unmanned surface vessel (USV). This I-SCC can help its operator to develop situational awareness and sensemaking. The conducted experiments offered insights into the performance of both the I-SCC system and its operator, and unlock research on the impact on ship sense and harmony when remotely controlling a USV. The Hull-To-Hull project extends the current I-SCC by providing enhanced motion control. This enhancement enables further performance insights and might improve the future monitoring of USVs. The successful I-SCC construction, the preliminary experiments, and the design-extension demonstrate that the I-SCC can serve as an experimental platform for both mechatronic innovation and human-automation integration research in the inland waterway sector, whilst additionally providing fruitful knowledge for adjacent research domains.
ISSN:2077-1312