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Use of Unmanned Aerial Vehicles for 3D topographic Mapping and Monitoring the Air Quality of Open-pit Mines

Treść / Zawartość
Identyfikatory
Warianty tytułu
PL
Wykorzystanie bezzałogowych statków powietrznych (dronów) do monitorowania jakości powietrza w odkrywkowych kopalniach węgla kamiennego
Konferencja
POL-VIET 2019 : scientific-research cooperation between Poland and Vietnam : 08–10.07.2019, Krakow
Języki publikacji
EN
Abstrakty
EN
Recently remarkable advancement development of unmanned aerial vehicles (UAVs) has been observed and their applications have been shown in many fields such as agriculture, industry, and environmental management. However, in the mining industry, the application of UAV technology remains potential. This paper presents a low-cost unmanned aerial vehicle technology-based system for 3D mapping and air quality monitoring at open-pit mine sites in Vietnam. The system includes several dust sensors that are mounted on a low-cost rotary-wing type UAV. The system collects a variety of data, mainly images and airborne pollutant concentrations. To evaluate the performance of the proposed system, field tests were carried out at the Coc Sau coal mine. Based on the images transmitted to the ground monitoring station, large scale 3D topographic maps were successfully modeled. In addition, sensors mounted on the UAV system were able to monitor the levels of environmental variables associated with the air quality within the pit such as temperature, dust, CO, CO2, and NOx. The field test results in this study illustrate the applicability of the low-cost UAV for the 3D mapping and the air quality monitoring at large and deep coal pits with relatively high accuracy.
Rocznik
Strony
223--239
Opis fizyczny
Bibliogr. 25 poz., rys., tab., wykr., zdj.
Twórcy
  • Hanoi University of Mining and Geology, Vietnam
autor
  • Dong-A University, Busan, Korea
  • Hanoi University of Mining and Geology, Vietnam
autor
  • University of the Punjab, Lahore, Pakistan
  • Hanoi University of Mining and Geology, Vietnam
  • Hanoi University of Mining and Geology, Vietnam
autor
  • Hanoi University of Mining and Geology, Vietnam
autor
  • Hanoi University of Mining and Geology, Vietnam
autor
  • Hanoi University of Mining and Geology, Vietnam
  • Dong-A University, Busan, Korea
Bibliografia
  • 1. Agüera-Vega, F., Carvajal-Ramírez, F., & Martínez-Carricondo, P. (2016). Accuracy of Digital Surface Models and Orthophotos Derived from Unmanned Aerial Vehicle Photogrammetry. Journal of Surveying Engineering, 04016025.
  • 2. Alvarado, M., Gonzalez, F., Fletcher, A., & Doshi, A. (2015). Towards the Development of a Low Cost Airborne Sensing System to Monitor Dust Particles after Blasting at Open-Pit Mine Sites. Sensors, 15(8), 19667. Retrieved from http://www.mdpi.com/1424-8220/15/8/19667
  • 3. Attalla, M., Day, S., Lange, T., Lilley, W., & Morgan, S. (2007). NOx Emissions from Blasting in Open Cut Coal Mining in the Hunter Valley. Retrieved from ACARP: Newcastle, Australia,:
  • 4. Barry, P., & Coakley, R. (2013). Accuracy of UAV photogrammetry compared with network RTK GPS. Int. Arch. Photogramm. Remote Sens, XL-1 W, 27-31.
  • 5. Berie, H. T., & Burud, I. (2018). Application of unmanned aerial vehicles in earth resources monitoring: focus on evaluating potentials for forest monitoring in Ethiopia. European Journal of Remote Sensing, 51(1), 326-335. doi:10.1080/22797254.2018.1432993
  • 6. Bitkolov, N. Z. (1969). Wind and Temperature of quarry atmospheres. Fiziko-Tekhnicheskie Problemy Razrabotki Poleznykh Iskopaemykh(5), 66-73.
  • 7. Bui, T. D., Nguyen, C. V., Hoang, M. H., Dong, B. P., Nhu, V. H., Tran, T. A., & Nguyen, Q. M. (2016). Xây dựng mô hình số bề mặt và bản đồ trực ảnh sử dụng công nghệ đo ảnh máy bay không người lái. Paper presented at the Hội nghị khoa học: Đo đạc bản đồ với ứng phó biển đổi khí hậu, Hà Nội.
  • 8. Cryderman, C., Mah, S. B., & Shufletoski, A. (2014). Evaluation of UAV Photogrammetric Accuracy for Mapping and Earthworks Computations. GEOMATICA, 68(4), 309-317. doi:10.5623/cig2014-405
  • 9. Grainger, C., & Meroney, R. N. (1993). Boundary-Layer Meteorol: Kluwer Academic Publishers.
  • 10. Haidari, L. A., Brown, S. T., Ferguson, M., Bancroft, E., Spiker, M., Wilcox, A., ... Lee, B. Y. (2016). The economic and operational value of using drones to transport vaccines. Vaccine, 34(34), 4062-4067. doi:10.1016/j.vaccine.2016.06.022
  • 11. Khan, M. A., Ectors, W., Bellemans, T., Janssens, D., & Wets, G. (2017). UAVBased Traffic Analysis: A Universal Guiding Framework Based on Literature Survey. Transportation Research Procedia, 22, 541-550. doi:https://doi.org/10.1016/j.trpro.2017.03.043
  • 12. Lee, S., & Choi, Y. (2015). On-site demonstration of topographic surveying techniques at open-pit mines using a fixed-wing unmanned aerial vehicle (drone). Tunnel & Underground Space, 25, 527–533.
  • 13. Lee, S., & Choi, Y. (2016). Reviews of unmanned aerial vehicle (drone) technology trends and its applications in the mining industry. Geosystem Engineering, 19(4), 197-204. doi:10.1080/12269328.2016.1162115
  • 14. McLeod, T., Samson, C., Labrie, M., Shehata, K., Mah, J., Lai, P., . . . Elder, J. H. (2013). Using Video Acquired from an Unmanned Aerial Vehicle (UAV) to Measure Fracture Orientation in an Open-Pit Mine. GEOMATICA, 67(3), 173-180. doi:10.5623/cig2013-036
  • 15. Mourato, S., Fernandez, P., Pereira, L., & Moreira, M. (2017). Improving a DSM Obtained by Unmanned Aerial Vehicles for Flood Modelling. Paper presented at the IOP Conf. Series: Earth and Environmental Science.
  • 16. Oleire-Oltmanns, S., Marzolff, I., Peter, K., & Ries, J. (2012). Unmanned Aerial Vehicle (UAV) for Monitoring Soil Erosion in Morocco. Remote Sens., 4(11), 3390-3416. doi:10.3390/rs4113390
  • 17. Olivares, V., Cordova, F., Sepúlveda, J. M., & Derpich, I. (2015). Modeling Internal Logistics by Using Drones on the Stage of Assembly of Products. Procedia Computer Science, 55, 1240-1249. doi:https://doi.org/10.1016/j.procs.2015.07.132
  • 18. Paneque-Gálvez, J., McCall, M. K., Napoletano, B. M., Wich, S. A., & Koh, L. P. (2014). Small drones for community-based forest monitoring: An assessment of their feasibility and potential in tropical areas. Forests, 5(6), 1481–1507.
  • 19. Puri, V., Nayyar, A., & Raja, L. (2017). Agriculture drones: A modern breakthrough in precision agriculture. Journal of Statistics and Management Systems, 20(4), 507-518. doi:10.1080/09720510.2017.1395171
  • 20. Raj, R. (2005). Sustainable mining systems and technologies in Sustainable Mining Practices. USA: Taylor & Francis: Oak Brook.
  • 21. Rokhmana, C. A. (2015). The Potential of UAV-based Remote Sensing for Supporting Precision Agriculture in Indonesia. Procedia Environmental Sciences, 24(Supplement C), 245-253. doi:https://doi.org/10.1016/j.proenv.2015.03.032
  • 22. Salvo, G., Caruso, L., & Scordo, A. (2014). Urban Traffic Analysis through an UAV. Procedia - Social and Behavioral Sciences, 111, 1083-1091. doi:https://doi.org/10.1016/j.sbspro.2014.01.143
  • 23. Sona, G., Pinto, L., Pagliari, D., Passoni, D., & Gini, R. (2014). Experimental analysis of different software packages for orientation and digital surface modelling from UAV images. Earth Science Informatics, 7(2), 97-107. doi:10.1007/s12145-013-0142-2
  • 24. Spanogianopoulos, S., Zhang, Q., & Spurgeon, S. (2017). Fast Formation of Swarm of UAVs in Congested Urban Environment. IFAC-PapersOnLine, 50(1), 8031-8036. doi:https://doi.org/10.1016/j.ifacol.2017.08.1228
  • 25. Tran, X. H., & Nguyen, A. T. (2011). Đổi mới, hiện đại hóa, khai thác và tuyển, chế biến nhằm phát triển bền vững ngành than - khoáng sản. Paper presented at the Hội nghị khoa học kỹ thuật mỏ toàn quốc - 2011, Nha Trang.
Uwagi
Opracowanie rekordu w ramach umowy 509/P-DUN/2018 ze środków MNiSW przeznaczonych na działalność upowszechniającą naukę (2019).
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-0bfc593e-ba43-48db-a7a2-397e183c16ff
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