Comparative utilization of drone technology vs. traditional methods in open pit stockpile volumetric computation: A case of njuli quarry, Malawi
Despite drones being successfully utilized for monitoring and detecting hazards in mines, there is limited research on their application for open-pit stockpile volumetric computation compared to traditional methods. Furthermore, time, cost, and safety have challenged the use of the traditional appro...
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| Format: | Article |
| Language: | English |
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Frontiers Media S.A.
2022-11-01
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| Series: | Frontiers in Built Environment |
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| Online Access: | https://www.frontiersin.org/articles/10.3389/fbuil.2022.1037487/full |
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| author | Jabulani Matsimbe Jabulani Matsimbe Jabulani Matsimbe Wisdom Mdolo Charles Kapachika Innocent Musonda Megersa Dinka |
| author_facet | Jabulani Matsimbe Jabulani Matsimbe Jabulani Matsimbe Wisdom Mdolo Charles Kapachika Innocent Musonda Megersa Dinka |
| author_sort | Jabulani Matsimbe |
| collection | DOAJ |
| description | Despite drones being successfully utilized for monitoring and detecting hazards in mines, there is limited research on their application for open-pit stockpile volumetric computation compared to traditional methods. Furthermore, time, cost, and safety have challenged the use of the traditional approach. Present study aims to fill the gaps by conducting a comparative analysis of stockpile volumetric computation utilizing a drone and traditional approach. A mapping framework is proposed to guide mine personnel on how to conduct open-pit stockpile volumetric computations. The methodology comprises using a drone and traditional survey approach to measure the volume of a known quarry stockpile. Drone-captured images are processed in Pix4D mapper software and geometric techniques are applied to the traditional survey approach. Findings show that the smaller the error of the checkpoints the more accurate the generated model making the measurements reliable. The generated Pix4D quality report showed a root mean square error of 0.019. The drone percentage error to the actual volume is 2.6% while the traditional approach is 1.3%. Both estimations are less than the maximum allowable percentage error of ± 3%. Therefore, compared to the traditional approach drone technology provides an accurate, cost-effective, fast, and safe working distance suitable for stockpile volumetric computations in open pit quarries. |
| first_indexed | 2024-04-12T14:14:05Z |
| format | Article |
| id | doaj.art-4df5e69fd1644645996e476a644a1f0c |
| institution | Directory Open Access Journal |
| issn | 2297-3362 |
| language | English |
| last_indexed | 2024-04-12T14:14:05Z |
| publishDate | 2022-11-01 |
| publisher | Frontiers Media S.A. |
| record_format | Article |
| series | Frontiers in Built Environment |
| spelling | doaj.art-4df5e69fd1644645996e476a644a1f0c2022-12-22T03:29:47ZengFrontiers Media S.A.Frontiers in Built Environment2297-33622022-11-01810.3389/fbuil.2022.10374871037487Comparative utilization of drone technology vs. traditional methods in open pit stockpile volumetric computation: A case of njuli quarry, MalawiJabulani Matsimbe0Jabulani Matsimbe1Jabulani Matsimbe2Wisdom Mdolo3Charles Kapachika4Innocent Musonda5Megersa Dinka6Centre for Applied Research and Innovation in the Built Environment (CARINBE), Faculty of Engineering and the Built Environment, University of Johannesburg, Johannesburg, South AfricaDepartment of Civil Engineering Science, Faculty of Engineering and the Built Environment, University of Johannesburg, Johannesburg, South AfricaDepartment of Mining Engineering, Malawi University of Business and Applied Sciences, Blantyre, MalawiDepartment of Mining Engineering, Malawi University of Business and Applied Sciences, Blantyre, MalawiDepartment of Land Surveying, Malawi University of Business and Applied Sciences, Blantyre, MalawiCentre for Applied Research and Innovation in the Built Environment (CARINBE), Faculty of Engineering and the Built Environment, University of Johannesburg, Johannesburg, South AfricaDepartment of Civil Engineering Science, Faculty of Engineering and the Built Environment, University of Johannesburg, Johannesburg, South AfricaDespite drones being successfully utilized for monitoring and detecting hazards in mines, there is limited research on their application for open-pit stockpile volumetric computation compared to traditional methods. Furthermore, time, cost, and safety have challenged the use of the traditional approach. Present study aims to fill the gaps by conducting a comparative analysis of stockpile volumetric computation utilizing a drone and traditional approach. A mapping framework is proposed to guide mine personnel on how to conduct open-pit stockpile volumetric computations. The methodology comprises using a drone and traditional survey approach to measure the volume of a known quarry stockpile. Drone-captured images are processed in Pix4D mapper software and geometric techniques are applied to the traditional survey approach. Findings show that the smaller the error of the checkpoints the more accurate the generated model making the measurements reliable. The generated Pix4D quality report showed a root mean square error of 0.019. The drone percentage error to the actual volume is 2.6% while the traditional approach is 1.3%. Both estimations are less than the maximum allowable percentage error of ± 3%. Therefore, compared to the traditional approach drone technology provides an accurate, cost-effective, fast, and safe working distance suitable for stockpile volumetric computations in open pit quarries.https://www.frontiersin.org/articles/10.3389/fbuil.2022.1037487/fullland surveyingmining4IRphotogrammetrypoint cloudquarry |
| spellingShingle | Jabulani Matsimbe Jabulani Matsimbe Jabulani Matsimbe Wisdom Mdolo Charles Kapachika Innocent Musonda Megersa Dinka Comparative utilization of drone technology vs. traditional methods in open pit stockpile volumetric computation: A case of njuli quarry, Malawi Frontiers in Built Environment land surveying mining 4IR photogrammetry point cloud quarry |
| title | Comparative utilization of drone technology vs. traditional methods in open pit stockpile volumetric computation: A case of njuli quarry, Malawi |
| title_full | Comparative utilization of drone technology vs. traditional methods in open pit stockpile volumetric computation: A case of njuli quarry, Malawi |
| title_fullStr | Comparative utilization of drone technology vs. traditional methods in open pit stockpile volumetric computation: A case of njuli quarry, Malawi |
| title_full_unstemmed | Comparative utilization of drone technology vs. traditional methods in open pit stockpile volumetric computation: A case of njuli quarry, Malawi |
| title_short | Comparative utilization of drone technology vs. traditional methods in open pit stockpile volumetric computation: A case of njuli quarry, Malawi |
| title_sort | comparative utilization of drone technology vs traditional methods in open pit stockpile volumetric computation a case of njuli quarry malawi |
| topic | land surveying mining 4IR photogrammetry point cloud quarry |
| url | https://www.frontiersin.org/articles/10.3389/fbuil.2022.1037487/full |
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