Primjena bespilotnih letjelica i digitalnog blizanca za praćenje klizanja tla na klizištu u Zrinu

master's thesis

• Title (english): Application of Unmanned Aerial Vehicles (UAV) and Digital Twin for Monitoring Landslide at Zrin
• Author: Antonio Kolobarić
• Mentor: Željko Bačić (mentor)
• Mentor: Zvonimir Nevistić (pomoć pri izradi, neposredni voditelj)
• Committee member: Željko Bačić (predsjednik povjerenstva)
• Committee member: Danijel Šugar (član povjerenstva)
• Committee member: Zvonimir Nevistić (član povjerenstva)
• Granter: University of Zagreb; Faculty of Geodesy; (Institute of Geomatics); (Chair of Satelite Geodesy); Zagreb
• Defense date and country: 2024-09-20, Croatia
• Scientific / art field, discipline and subdiscipline: TECHNICAL SCIENCES; Geodesy; Geomatics

Abstract

Klizišta mogu značajno utjecati na društvo uzrokujući gubitak života, uništenje infrastrukture, ekonomske gubitke i trajne promjene u okolišu. Zbog toga je važno uspostaviti učinkovit način identifikacije i praćenja klizišta. Tehnološki napredak omogućuje korištenje različitih metoda opažanja poput GNSS-a, Doppler radara, LIDAR-a, dronova itd. GNSS RTK metoda pokazala se dovoljno točnom i pouzdanom, a istovremeno kao i maksimalno fleksibilnom i najekonomičnijim metodom opažanja klizišta. Ovaj rad istražuje usporedbu između GNSS RTK metode i dronova koji služe kao platforma za fotogrametrijsko opažanje klizišta. U tu svrhu sa stručnjacima s Hrvatskog geološkog instituta (HGI) dogovorena je suradnja u istraživanju klizišta u Zrinskoj Dragi, na području općine Zrin. Istraživanje uključuje terenski dio prikupljanja podataka koji je izvođen pomoću Trimble R8 i Topcon Hyper SR GNSS uređaja i Phantom 4 Pro V2.0 drona, a svemu je prethodila stabilizacija detaljnih točaka na klizištu pomoću betonskih stupića. Drugi dio istraživanja uključuje analizu i usporedbu podataka prikupljenih u tri epohe opažanja. Podaci prikupljeni opažanjem iz zraka obrađeni su pomoću softvera Pix4Dmatic i CloudCompare. Posljednji dio rada bavi se teoretskim definiranjem okvira razvoja modela digitalnog blizanca klizišta što bi omogućilo praćenje u blizu realnom vremenu i predviđanje pomaka tla.

Abstract (english)

Landslides can have a significant impact on society, causing loss of life, destruction of infrastructure, economic losses, and permanent environmental changes. Therefore, it is crucial to establish an effective method for landslide identification and monitoring. Technological advancements enable the use of various observation methods such as GNSS, Doppler radar, LiDAR, drones, etc. The GNSS RTK method has proven to be accurate, reliable, highly flexible, and the most economical method for monitoring landslides. This paper explores a comparison between the GNSS RTK method and drones, which serve as a platform for photogrammetric landslide observation. In collaboration with experts from the Croatian Geological Institute (HGI), research was conducted on the landslide in Zrinska Draga, in the Zrin municipality. The research includes field data collection using Trimble R8 and Topcon Hyper SR GNSS devices and the Phantom 4 Pro V2.0 drone, with prior stabilization of detailed points on the landslide using concrete markers. The second part of the research involves the analysis and comparison of data collected in three observation epochs. Data gathered from aerial observations were processed using Pix4Dmatic and CloudCompare software. The final part of the paper focuses on theoretically defining the framework for developing a digital twin model of the landslide, which would enable near real-time monitoring and prediction of soil displacement.

• Keywords: klizišta; bespilotne letjelice; GNSS RTK; digitalni blizanac
• Keywords (english): landslides; UAV; GNSS RTK; digital twin
• Language: croatian
• URN:NBN: urn:nbn:hr:256:325235
• Study programme: Title: Geodesy and Geoinformatics; Study programme type: university; Study level: graduate; Academic / professional title: magistar/magistra inženjer/inženjerka geodezije i geoinformatike (magistar/magistra inženjer/inženjerka geodezije i geoinformatike)
• Type of resource: Text
• File origin: Born digital
• Access conditions: Access restricted to authenticated users
• Created on: 2024-09-18 22:17:16