Unit:
Department of Geology and GeoenvirommentLibrary of the School of Science
Author:
Voutsinas Stelios
Dissertation committee:
Δρ. Νικόλαος Βουλγαρης, Καθηγητής, Τμήμα Γεωλογίας και Γεωπεριβάλλοντος, ΕΚΠΑ (Επιβλέπων)
Δρ. Παναγιώτης Παπαδημητρίου, Καθηγητής, Τμήμα Γεωλογίας και Γεωπεριβάλλοντος, ΕΚΠΑ
Δρ. Ιωάννης Κασσάρας, Επίκουρος Καθηγητής, Τμήμα Γεωλογίας και Γεωπεριβάλλοντος, ΕΚΠΑ
Δρ. Γεράσιμος Τσελέντης, Καθηγητής, Τμήμα Γεωλογίας και Γεωπεριβάλλοντος, ΕΚΠΑ
Δρ. Γεώργιος Καβύρης, Επίκουρος Καθηγητής, Τμήμα Γεωλογίας και Γεωπεριβάλλοντος ΕΚΠΑ
Δρ. Ιωάννης Βογιατζής, Καθηγητής, Τμήμα Μηχανικών Πληροφορικής και Υπολογιστών, ΠΑΔΑ
Δρ. Νικόλαος Ζάχαρης, Καθηγητής, Τμήμα Μηχανικών Πληροφορικής και Υπολογιστών, ΠΑΔΑ
Original Title:
Μελέτη, σχεδιασμός, κατασκευή και πειραματική διερεύνηση Σεισμογραφικού Συστήματος Έγκαιρης Προειδοποίησης
Translated title:
Study, design, implementation and experimental investigation of an Earthquake Early Warning System
Summary:
Earthquakes have always been a phenomenon that was observed by mankind throughout the centuries because of their destructive power, as they directly affect societies. Today, with the rapid development of computer systems, scientists have the opportunity for faster and more efficient processing of seismic data, so that the effects of a devastating earthquake can be mitigated. In this thesis the design and construction of a seismic early warning system is presented. This system is based on nodes, wherein each node is a portable low-power embedded system, equipped with low cost sensors, and processing power capable to perform calculations locally and in real time. In this way, and due to the fact that the nodes are being wirelessly communicating, a region can be monitored easily. The main application server now serves a different role, not for issuing the earthquake warning, but for calculating the location and the magnitude of the earthquake.
Main subject category:
Science
Keywords:
Earthquake early warning, seismic data processing algorithms, Embedded systems, Sensors, IEEE 802.15.4 Networks, IoT
Number of references:
156
