Abstract

A cruise ship is a concentrate of technologies aimed at providing passengers with the best leisure experience. As tourism in the cruise sector increases, ship owners turned their attention towards novel Internet of things solutions able, from one hand, to provide passengers with personalized and comfortable new services and, from the other hand, to enable energy saving behaviors and a smart management of the vessel equipment. This paper introduces the E-Cabin system, a software architecture that leverages sensor networks and reasoning techniques and allows a customized cabin indoor comfort. The E-Cabin architecture is scalable and easily extendible; sensor networks can be added or removed, rules can be added to/changed in the reasoner software, and new services can be supported based on the analysis of the collected data, without altering the system architecture. The system also allows the ship manager to monitor each cabin status though a simple and intuitive dashboard, thus providing useful insights enabling a smart scheduling of maintenance activities, energy saving, and security issues detection. This work delves into the E-Cabin’s system architecture and provides some usability tests to measure the dashboard’s efficacy.

Highlights

  • The level of competition in the tourism sector has raised in recent years, as tourists become more and more aware of the quality of services that can be delivered

  • Tests Results and Discussion obtained in the “Job relevance” subscale (6.39, SD = 0.49): The dashboard can be considered a useful toolThe for true–false ship managers and cruise staff that of need to access regarding the energy questionnaire (Q1)ship’s showed a result correctdata answers; this indicates that consumption of devices, the status of cabins and devices, etc

  • The results highlight that the highest result was obtained in the “Job relevance” subscale (6.39, SD = 0.49): The dashboard can be considered a useful tool for ship managers and cruise ship’s staff that need to access data regarding the energy consumption of devices, the status of cabins and devices, etc

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Summary

Introduction

The level of competition in the tourism sector has raised in recent years, as tourists become more and more aware of the quality of services that can be delivered. To collect data from heterogeneous sensor networks deployed in the cabin through a modular management system, which is based on IoT technologies and works without external cloud services This system can; collect data from heterogeneous networks, including on-board devices and cabins’ devices; To analyze the data collected and to actuate actions derived from decisions taken by a specialized software on the basis of the collected data and specific indications voluntarily provided by the passenger through an app; To allow the ship-manager to monitor the status of the sensors installed in each single cabin, in order to schedule targeted interventions; To support the development of mobile applications for outdoor activities. The Conclusions summarize the main novelties of this work and highlight the future directions

Related Work
The E-Cabin Platform Components and the Experimental Setting
The Middleware Layer
Semantic Knowledge Base and Reasoning Service
The Experimental Setting
TheNoise
Overall
Inner cabin and outside proximity
Functioning and Scalability
The Tests on the Dashboard Usability
Result demonstrability
Limitations
Conclusions and Further Work
Full Text
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