Araştırma Makalesi

Autonomous Fire Fighting Mission Using Unmanned Aerial Vehicle Image Processing

Cilt: 2023 Sayı: 18 3 Temmuz 2023
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Autonomous Fire Fighting Mission Using Unmanned Aerial Vehicle Image Processing

Öz

In this study, an adaptive Unmanned Aerial Vehicle (UAV) design and software for fire extinguishing mission has been realized. With a water release mechanism mounted on the designed UAV, water is taken from the determined area and discharged to the determined area. While designing the UAV, attention was paid to ensure that it is fast, light, maneuverable and has a high load carrying capacity. The body is designed to be high strength and lightweight. For this reason, the UAV Octo Quad X8 (4 rotors, 8 motors & propellers) has a chassis type. It is aimed for the UAV to perform this task autonomously. The Python software language will be used to determine the area where the water will be discharged and the Haversine formula will be used. As a result of the experiments, the hit rate of the water to be discharged into the center of the 3-meter pool was 90%.

Anahtar Kelimeler

Kaynakça

  1. [1] Ağgül, B. & Erdemir, G. (2021). Açık Kaynak Kodlu Taşıt Renk Tespit Yazılımı Geliştirilmesi. İstanbul Sabahattin Zaim Üniversitesi Fen Bilimleri Enstitüsü Dergisi, UAKK2020, 47-50. DOI: 10.47769/izufbed.880007.
  2. [2] Riyanto, M., Cholisoddin, I., & Adikara, P. Optimasi Feeder Vehicle Routing Problem pada Distribusi Pengiriman Barang dengan Genetika. Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer, vol. 3, no. 11, p. 10712-10720, peb. 2020. ISSN 2548-964X. Tersedia
  3. [3] V. Spurny et al., "Autonomous Firefighting Inside Buildings by an Unmanned Aerial Vehicle," in IEEE Access, vol. 9, pp. 15872-15890, 2021, doi: 10.1109/ACCESS.2021.3052967.
  4. [4] R. Chen, H. Cao, H. Cheng and J. Xie, "Study on Urban Emergency Firefighting Flying Robots Based on UAV," 2019 IEEE 4th Advanced Information Technology, Electronic and Automation Control Conference (IAEAC), 2019, pp. 1890-1893, doi: 10.1109/IAEAC47372.2019.8997723.
  5. [5] H. Qin et al., "Design and implementation of an unmanned aerial vehicle for autonomous firefighting missions," 2016 12th IEEE International Conference on Control and Automation (ICCA), 2016, pp. 62-67, doi: 10.1109/ICCA.2016.7505253.
  6. [6] Özkaya, U., MAKİNECİ, H. B., Öztürk, Ş., & Orhan, O. (2021). Mozaiklenmiş İnsansız Hava Aracı Görüntülerinde Eksik Bölgelerin Exemplar İç Boyaması ile Elde Edilmesi. Geomatik, 6(1), 61-68.
  7. [7] A. Sofwan, Y. A. A. Soetrisno, N. P. Ramadhani, A. Rahmayani, E. Handoyo and M. Arfan, "Vehicle Distance Measurement Tuning using Haversine and Micro-Segmentation," 2019 International Seminar on Intelligent Technology and Its Applications (ISITIA), 2019, pp. 239-243, doi: 10.1109/ISITIA.2019.8937128.

Ayrıntılar

Birincil Dil

İngilizce

Konular

Mühendislik

Bölüm

Araştırma Makalesi

Erken Görünüm Tarihi

1 Haziran 2023

Yayımlanma Tarihi

3 Temmuz 2023

Gönderilme Tarihi

6 Haziran 2022

Kabul Tarihi

2 Aralık 2022

Yayımlandığı Sayı

Yıl 2023 Cilt: 2023 Sayı: 18

Kaynak Göster

APA
Düzyol, K., Budak, S., Kurnaz, E., Durdu, A., Samur, İ., Aslanbaş, M., & Ayık, E. (2023). Autonomous Fire Fighting Mission Using Unmanned Aerial Vehicle Image Processing. Journal of New Results in Engineering and Natural Sciences, 2023(18), 1-10. https://izlik.org/JA37ZX46ZF
AMA
1.Düzyol K, Budak S, Kurnaz E, vd. Autonomous Fire Fighting Mission Using Unmanned Aerial Vehicle Image Processing. JRENS. 2023;2023(18):1-10. https://izlik.org/JA37ZX46ZF
Chicago
Düzyol, Kevser, Serkan Budak, Ender Kurnaz, vd. 2023. “Autonomous Fire Fighting Mission Using Unmanned Aerial Vehicle Image Processing”. Journal of New Results in Engineering and Natural Sciences 2023 (18): 1-10. https://izlik.org/JA37ZX46ZF.
EndNote
Düzyol K, Budak S, Kurnaz E, Durdu A, Samur İ, Aslanbaş M, Ayık E (01 Temmuz 2023) Autonomous Fire Fighting Mission Using Unmanned Aerial Vehicle Image Processing. Journal of New Results in Engineering and Natural Sciences 2023 18 1–10.
IEEE
[1]K. Düzyol vd., “Autonomous Fire Fighting Mission Using Unmanned Aerial Vehicle Image Processing”, JRENS, c. 2023, sy 18, ss. 1–10, Tem. 2023, [çevrimiçi]. Erişim adresi: https://izlik.org/JA37ZX46ZF
ISNAD
Düzyol, Kevser - Budak, Serkan - Kurnaz, Ender - Durdu, Akif - Samur, İrfan - Aslanbaş, Metehan - Ayık, Emirhan. “Autonomous Fire Fighting Mission Using Unmanned Aerial Vehicle Image Processing”. Journal of New Results in Engineering and Natural Sciences 2023/18 (01 Temmuz 2023): 1-10. https://izlik.org/JA37ZX46ZF.
JAMA
1.Düzyol K, Budak S, Kurnaz E, Durdu A, Samur İ, Aslanbaş M, Ayık E. Autonomous Fire Fighting Mission Using Unmanned Aerial Vehicle Image Processing. JRENS. 2023;2023:1–10.
MLA
Düzyol, Kevser, vd. “Autonomous Fire Fighting Mission Using Unmanned Aerial Vehicle Image Processing”. Journal of New Results in Engineering and Natural Sciences, c. 2023, sy 18, Temmuz 2023, ss. 1-10, https://izlik.org/JA37ZX46ZF.
Vancouver
1.Kevser Düzyol, Serkan Budak, Ender Kurnaz, Akif Durdu, İrfan Samur, Metehan Aslanbaş, Emirhan Ayık. Autonomous Fire Fighting Mission Using Unmanned Aerial Vehicle Image Processing. JRENS [Internet]. 01 Temmuz 2023;2023(18):1-10. Erişim adresi: https://izlik.org/JA37ZX46ZF