Smart IoT flood monitoring system (Master thesis)
Λύρατζης, Ελευθέριος/ Lyratzis, Eleftherios/ Προηγμένες Τεχνολογίες Πληροφορικής και Υπολογιστών
This thesis focuses on the development of a smart IoT system for monitoring hydrometeorological data related to flood phenomena. The system collects rainfall, temperature, humidity, atmospheric pressure, wind speed, wind direction, wind gusts and water-level measurements. The collected data are processed and categorized into degrees of risk using fuzzy logic. The measurements and the resulting risk category are transmitted via the LoRaWAN protocol through The Things Network (TTN) and visualized in ThingSpeak. The work concludes with a functional prototype for continuous hydrometeorological monitoring, risk categorization and reliable wireless data transmission.
| Institution and School/Department of submitter: | Δημοκρίτειο Πανεπιστήμιο Θράκης. Σχολή θετικών επιστημών. Τμήμα Πληροφορικής |
| Subject classification: | Flood damage prevention-- Data processing |
| Keywords: | Πλημμύρες,Προειδοποίηση κοινού,Ασαφής Λογική,Πρωτόκολλο δικτύου ευρείας περιοχής μεγάλης εμβέλειας,Floods,Public warning,Fuzzy logic,Long range wide area network,LoRaWAN,Arduino |
| URI: | https://repo.lib.duth.gr/jspui/handle/123456789/23029 |
| Appears in Collections: | ΤΜΗΜΑ ΠΛΗΡΟΦΟΡΙΚΗΣ-ΜΕ |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| LyratzisE_2026.pdf | Μεταπτυχιακή εργασία | 1.92 MB | Adobe PDF | View/Open Request a copy |
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https://repo.lib.duth.gr/jspui/handle/123456789/23029
http://dx.doi.org/10.26257/heal.duth.21699
This item is licensed under a Creative Commons License
