Μεταπτυχιακές εργασίες / Master Theses

Μόνιμο URI για αυτήν τη συλλογή

https://apothesis.hmu.gr/handle/20.500.12688/3

Περιηγούμαι

Πλοήγηση Μεταπτυχιακές εργασίες / Master Theses ανά Συγγραφέας "Atsali, Georgia"

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  • Μικρογραφία εικόνας
    Τεκμήριο
    Monitoring, 3d visualization and control of an IoT infrastructure via the web. Case study for a waste water harvesting system.
    (Τ.Ε.Ι. Κρήτης, Σχολή Τεχνολογικών Εφαρμογών (Σ.Τ.Εφ), ΠΜΣ Πληροφορική και Πολυμέσα, 2017-09-19) Atsali, Georgia; Ατσάλη, Γεωργία
    Water is a vital resource for life. Nowadays, the availability of fresh water is a major issue which greatly affects the population. A domestic system which harvests, recycles and distributes for reuse the wastewater (rainfall or residential) has several benefits. The most important of them is the ability to make a building almost water self-sufficient when the public water supply is interrupted. The current work describes an IoT system that monitors, controls and manages the residential water infrastructure that was installed in a block of flats located at an urban area of Crete in southern Greece. This system harvests both residential and rainfall waste water, as black and grey, respectively. After the necessary treatment, the water is forwarded to be reused in toilet cisterns and for garden watering. This thesis presents the Internet of Things (IoT) infrastructure installed at the aforementioned premises but mainly focuses on the web-based client-side application that was developed for the remote real-time monitoring and control of the installed infrastructure. This application provides every tenant with the ability to monitor and control the water consumption of his house at anytime and from anywhere. The application was designed using the responsive Bootstrap framework in order to support a wide range of devices and screen sizes. A 3d scene of the whole building infrastructure was also developed and implemented in the application using the declarative abilities of x3dom react to mouse event clicks and to present in real time data information. The thesis also contributes to the decision-making functionality of the IoT infrastructure, introducing an intelligent controller developed and used for the characterization and separation of the rainwater runoffs as black or grey water.