Utilization of Drones Technology in Infrastructure Inspection and Maintenance

Morse Kathryn (1), Wang Joshua (2), Elladdadi Mark (3)
(1) University of Warmia and Mazury, Poland,
(2) Académie des Beaux?Arts de Tournai, Belgium,
(3) University of Alberta Edmonton, Canada

Abstract

The utilization of drones technology in infrastructure inspection and maintenance has become an important topic in civil engineering and infrastructure management studies. Adequate infrastructure supports the social and economic progress of a country, but requires regular maintenance to ensure its reliability. This research aims to investigate the effectiveness of utilizing drone technology in performing infrastructure inspection and maintenance, and to evaluate its impact on the efficiency and accuracy of the process. The research method used was a literature study and analysis of data from previous studies relevant to this topic. In addition, the research also involved primary data collection through interviews with experts in the field of drones and infrastructure technology. The results show that the utilization of drones technology can significantly improve the efficiency and accuracy in conducting infrastructure inspection and maintenance. Drones are able to reach areas that are difficult to reach manually and provide detailed and real-time data. The utilization of drone technology is a very potential solution in improving efficiency and accuracy in infrastructure inspection and maintenance. By utilizing drones, the process can be done more quickly, cheaply, and safely, so that it can support sustainable infrastructure development.

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References

Alma Çall?, B., & Ediz, Ç. (2023). Top concerns of user experiences in Metaverse games: A text-mining based approach. Entertainment Computing, 46, 100576. https://doi.org/10.1016/j.entcom.2023.100576

Atitallah, S. B., Driss, M., Boulila, W., & Ghézala, H. B. (2020). Leveraging Deep Learning and IoT big data analytics to support the smart cities development: Review and future directions. Computer Science Review, 38, 100303. https://doi.org/10.1016/j.cosrev.2020.100303

Besser, A., Flett, G. L., & Zeigler-Hill, V. (2022). Adaptability to a sudden transition to online learning during the COVID-19 pandemic: Understanding the challenges for students. Scholarship of Teaching and Learning in Psychology, 8(2), 85–105. https://doi.org/10.1037/stl0000198

Betlem, K., Kaur, A., Hudson, A. D., Crapnell, R. D., Hurst, G., Singla, P., Zubko, M., Tedesco, S., Banks, C. E., Whitehead, K., & Peeters, M. (2019). Heat-Transfer Method: A Thermal Analysis Technique for the Real-Time Monitoring of Staphylococcus aureus Growth in Buffered Solutions and Digestate Samples. ACS Applied Bio Materials, 2(9), 3790–3798. https://doi.org/10.1021/acsabm.9b00409

Carrivick, J. L., & Smith, M. W. (2019). Fluvial and aquatic applications of Structure from Motion photogrammetry and unmanned aerial vehicle/drone technology. WIREs Water, 6(1), e1328. https://doi.org/10.1002/wat2.1328

Castañeda-Babarro, A., Arbillaga-Etxarri, A., Gutiérrez-Santamaría, B., & Coca, A. (2020). Physical Activity Change during COVID-19 Confinement. International Journal of Environmental Research and Public Health, 17(18), 6878. https://doi.org/10.3390/ijerph17186878

Chow, J. C. L., Sanders, L., & Li, K. (2023). Impact of ChatGPT on medical chatbots as a disruptive technology. Frontiers in Artificial Intelligence, 6, 1166014. https://doi.org/10.3389/frai.2023.1166014

Cohen, L., Malloy, C., & Nguyen, Q. (2020). Lazy Prices. The Journal of Finance, 75(3), 1371–1415. https://doi.org/10.1111/jofi.12885

Dering, G. M., Micklethwaite, S., Thiele, S. T., Vollgger, S. A., & Cruden, A. R. (2019). Review of drones, photogrammetry and emerging sensor technology for the study of dykes: Best practises and future potential. Journal of Volcanology and Geothermal Research, 373, 148–166. https://doi.org/10.1016/j.jvolgeores.2019.01.018

Dong, H., & Liu, Y. (2023). Metaverse Meets Consumer Electronics. IEEE Consumer Electronics Magazine, 12(3), 17–19. https://doi.org/10.1109/MCE.2022.3229180

Dube, B. (2020). Rural online learning in the context of COVID 19 in South Africa: Evoking an inclusive education approach. Multidisciplinary Journal of Educational Research, 10(2), 135. https://doi.org/10.17583/remie.2020.5607

Dubey, J. P. (2021). Toxoplasmosis of Animals and Humans (3rd ed.). CRC Press. https://doi.org/10.1201/9781003199373

Dwivedi, Y. K., Kshetri, N., Hughes, L., Slade, E. L., Jeyaraj, A., Kar, A. K., Baabdullah, A. M., Koohang, A., Raghavan, V., Ahuja, M., Albanna, H., Albashrawi, M. A., Al-Busaidi, A. S., Balakrishnan, J., Barlette, Y., Basu, S., Bose, I., Brooks, L., Buhalis, D., … Wright, R. (2023). Opinion Paper: “So what if ChatGPT wrote it?” Multidisciplinary perspectives on opportunities, challenges and implications of generative conversational AI for research, practice and policy. International Journal of Information Management, 71, 102642. https://doi.org/10.1016/j.ijinfomgt.2023.102642

Else, H. (2023). Abstracts written by ChatGPT fool scientists. Nature, 613(7944), 423–423. https://doi.org/10.1038/d41586-023-00056-7

Favale, T., Soro, F., Trevisan, M., Drago, I., & Mellia, M. (2020). Campus traffic and e-Learning during COVID-19 pandemic. Computer Networks, 176, 107290. https://doi.org/10.1016/j.comnet.2020.107290

Fish, F. E. (2020). Advantages of aquatic animals as models for bio-inspired drones over present AUV technology. Bioinspiration & Biomimetics, 15(2), 025001. https://doi.org/10.1088/1748-3190/ab5a34

Gosal, A. S., Geijzendorffer, I. R., Václavík, T., Poulin, B., & Ziv, G. (2019). Using social media, machine learning and natural language processing to map multiple recreational beneficiaries. Ecosystem Services, 38, 100958. https://doi.org/10.1016/j.ecoser.2019.100958

Gupta, A., Lee, S., Mott, B., Chakraburty, S., Glazewski, K., Ottenbreit-Leftwich, A., Scribner, A., Hmelo-Silver, C. E., & Lester, J. (2024). Supporting Upper Elementary Students in Learning AI Concepts with Story-Driven Game-Based Learning. Proceedings of the AAAI Conference on Artificial Intelligence, 38(21), 23092–23100. https://doi.org/10.1609/aaai.v38i21.30354

Hafeez, A., Husain, M. A., Singh, S. P., Chauhan, A., Khan, Mohd. T., Kumar, N., Chauhan, A., & Soni, S. K. (2023). Implementation of drone technology for farm monitoring & pesticide spraying: A review. Information Processing in Agriculture, 10(2), 192–203. https://doi.org/10.1016/j.inpa.2022.02.002

Hao, J., & Ho, T. K. (2019). Machine Learning Made Easy: A Review of Scikit-learn Package in Python Programming Language. Journal of Educational and Behavioral Statistics, 44(3), 348–361. https://doi.org/10.3102/1076998619832248

Ibrar, I., Naji, O., Sharif, A., Malekizadeh, A., Alhawari, A., Alanezi, A. A., & Altaee, A. (2019). A Review of Fouling Mechanisms, Control Strategies and Real-Time Fouling Monitoring Techniques in Forward Osmosis. Water, 11(4), 695. https://doi.org/10.3390/w11040695

Iost Filho, F. H., Heldens, W. B., Kong, Z., & De Lange, E. S. (2020). Drones: Innovative Technology for Use in Precision Pest Management. Journal of Economic Entomology, 113(1), 1–25. https://doi.org/10.1093/jee/toz268

Jansen, M., Donkervliet, J., Trivedi, A., & Iosup, A. (2023). Can My WiFi Handle the Metaverse? A Performance Evaluation Of Meta’s Flagship Virtual Reality Hardware. Companion of the 2023 ACM/SPEC International Conference on Performance Engineering, 297–303. https://doi.org/10.1145/3578245.3585022

Kang, D., Choi, H., & Nam, S. (2022). Learning Cultural Spaces: A Collaborative Creation of a Virtual Art Museum Using Roblox. International Journal of Emerging Technologies in Learning (iJET), 17(22), 232–245. https://doi.org/10.3991/ijet.v17i22.33023

Kapasia, N., Paul, P., Roy, A., Saha, J., Zaveri, A., Mallick, R., Barman, B., Das, P., & Chouhan, P. (2020). Impact of lockdown on learning status of undergraduate and postgraduate students during COVID-19 pandemic in West Bengal, India. Children and Youth Services Review, 116, 105194. https://doi.org/10.1016/j.childyouth.2020.105194

Koroniotis, N., Moustafa, N., Sitnikova, E., & Turnbull, B. (2019). Towards the development of realistic botnet dataset in the Internet of Things for network forensic analytics: Bot-IoT dataset. Future Generation Computer Systems, 100, 779–796. https://doi.org/10.1016/j.future.2019.05.041

Li, Y., & Liu, C. (2019). Applications of multirotor drone technologies in construction management. International Journal of Construction Management, 19(5), 401–412. https://doi.org/10.1080/15623599.2018.1452101

Loewen, S., Crowther, D., Isbell, D. R., Kim, K. M., Maloney, J., Miller, Z. F., & Rawal, H. (2019). Mobile-assisted language learning: A Duolingo case study. ReCALL, 31(3), 293–311. https://doi.org/10.1017/S0958344019000065

Lykou, G., Moustakas, D., & Gritzalis, D. (2020). Defending Airports from UAS: A Survey on Cyber-Attacks and Counter-Drone Sensing Technologies. Sensors, 20(12), 3537. https://doi.org/10.3390/s20123537

Maulida, A., Hanif, H., Kamal, M., & Suryani Oktari, R. (2023). Roblox-based tsunami survival game: A tool to stimulate early childhood disaster preparedness skills. E3S Web of Conferences, 447, 02003. https://doi.org/10.1051/e3sconf/202344702003

Memon, N. A., Chown, D., & Alkouatli, C. (2021). Descriptions and enactments of Islamic pedagogy: Reflections of alumni from an Islamic Teacher Education Programme. Pedagogy, Culture & Society, 29(4), 631–649. https://doi.org/10.1080/14681366.2020.1775687

Oulaich, S. (2020). Pedagogy in the Digital Age: Making Learning Effective and Engaging for Students. In M. Ben Ahmed, A. A. Boudhir, D. Santos, M. El Aroussi, & ?. R. Karas (Eds.), Innovations in Smart Cities Applications Edition 3 (pp. 168–182). Springer International Publishing. https://doi.org/10.1007/978-3-030-37629-1_14

Pardo, A., Jovanovic, J., Dawson, S., Gaševi?, D., & Mirriahi, N. (2019). Using learning analytics to scale the provision of personalised feedback. British Journal of Educational Technology, 50(1), 128–138. https://doi.org/10.1111/bjet.12592

Payal, R., Sharma, N., & Dwivedi, Y. K. (2024). Unlocking the impact of brand engagement in the metaverse on Real-World purchase intentions: Analyzing Pre-Adoption behavior in a futuristic technology platform. Electronic Commerce Research and Applications, 65, 101381. https://doi.org/10.1016/j.elerap.2024.101381

Roldán-Gómez, J. J., González-Gironda, E., & Barrientos, A. (2021). A Survey on Robotic Technologies for Forest Firefighting: Applying Drone Swarms to Improve Firefighters’ Efficiency and Safety. Applied Sciences, 11(1), 363. https://doi.org/10.3390/app11010363

Selwyn, N. (2019). What’s the Problem with Learning Analytics? Journal of Learning Analytics, 6(3). https://doi.org/10.18608/jla.2019.63.3

Shadiev, R., & Yang, M. (2020). Review of Studies on Technology-Enhanced Language Learning and Teaching. Sustainability, 12(2), 524. https://doi.org/10.3390/su12020524

Shahmoradi, J., Talebi, E., Roghanchi, P., & Hassanalian, M. (2020). A Comprehensive Review of Applications of Drone Technology in the Mining Industry. Drones, 4(3), 34. https://doi.org/10.3390/drones4030034

Spernjak, A. (2021). Using ICT to Teach Effectively at COVID-19. 2021 44th International Convention on Information, Communication and Electronic Technology (MIPRO), 617–620. https://doi.org/10.23919/MIPRO52101.2021.9596878

Teimouri, Y., Plonsky, L., & Tabandeh, F. (2022). L2 grit: Passion and perseverance for second-language learning. Language Teaching Research, 26(5), 893–918. https://doi.org/10.1177/1362168820921895

Authors

Morse Kathryn
morsekathrynnnn@gmail.com (Primary Contact)
Wang Joshua
Elladdadi Mark
Kathryn, M., Joshua, W., & Mark, E. (2024). Utilization of Drones Technology in Infrastructure Inspection and Maintenance. Journal of Moeslim Research Technik, 1(2), 92–103. Retrieved from http://www.journal.ypidathu.or.id/index.php/technik/article/view/883

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