Πλοήγηση ανά Συγγραφέας "Ritas, Athanasios"

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  • Μικρογραφία εικόνας
    Τεκμήριο
    Τεχνολογίες υπολογιστικής των άκρων για συστήματα του διαδικτύου των ναυτιλιακών πραγμάτων (IoMaT), στην επιτήρηση των αποδόσεων των πλοίων.
    (ΕΛ.ΜΕ.ΠΑ., ΣΧΟΛΗ ΜΗΧΑΝΙΚΩΝ (ΣΜΗΧ), Τμήμα Ηλεκτρονικών Μηχανικών, 2023-02-10) Ρήτας, Αθανάσιος; Ritas, Athanasios
    This master’s thesis was written to study the requirements and standards of Industry 4.0 in relation to the Science of Electronic Engineering, in the so-called "Shipping Industry". It is known, the application of that requirements to ships has some particularities due to the nature of the ship. For example, changes in: geographic location (during the voyage), environmental conditions (weather, sea state, etc.) and maritime commercial activity (density of passing ships). Unforeseen situations may arise, eg acceleration of the aging of electromechanical equipment, increase in the possibility of dangerous situations during navigation, increase in sailing time (means increased fuel consumption). The areas and official indicators (SPI/KPI) that need increased surveillance, also the analysis & decision-making methods were studied. An extensive search was made for all applied and able apply Maritime Internet of Things Technologies (IoMaT) and the Development tools. In this search, i have found and mention all relative about with: hardware, software, efficient computing technologies, internet of things protocols, the NMEA family of maritime standards, the Signal-K standard, navigation bridge electronics & information systems, applicable Non-Destructive Testing methods, data representation & visualization methods and the communication systems used. The collecting ways of the vast amount of data, that continue be generated by New IoT Sensor Networks (IoMaT) and by existing on-board monitoring-data-logging systems were studied. Which data, must be cleaned, stored and processed with various computational techniques (statistical – empirical methods, artificial intelligence or machine learning). At this point, Computational Science Methods were Evaluated in relation to the Difficulties presented in Ship Internet Connectivity. And in conclusion everything converges, in that it is necessary to use the philosophy of "Edge Computing Technologies for Maritime Internet of Things Systems." Also for the understanding, consolidation of the technologies and the conclusions of the theoretical study. I developed an application based on the Signal-K model. The application includes 3 study (programming) cases: generation of NMEA messages with data generation simulation, creation of NMEA Gateway Server and aWeb-Dashboard Server for IoMaT Data Visualization.