LiDAR-based Semi-Autonomous Inspection of a Coal Mine Tailing Impoundment Emergency Spillway 55 Conclusions In this paper, the authors introduce an approach to utilize an ALS LiDAR in the inspection of an open channel emergency spillway at an existing coal mine tailing impoundment. With this approach, accurate 3D point cloud models of the spillway are reconstructed and the C2C algorithm is utilized to compare them. In conclusion, this work provides insights into the efficiency and practicality of employing ALS LiDAR in structural health monitoring and damage detection applications. Also, the findings demonstrate that relying on such technology has the potential to minimize the dependence on the subjectivity of physical inspections and reduce the safety concerns for inspectors. In the future, the authors plan to investigate additional hazards associated with coal mine tailing impoundments such as leakage and seepage. Furthermore, they aim to develop a user-friendly software interface to facilitate hazard detection in these environments. References 1. Quaranta, J. D., Stawovy, J., & Fourie, A. (2022). Study on mine tailings classification effected by co-disposal of drilling wastes with geochemical cations. Mining, Metallurgy & Exploration, 39(4), 1391–1402. 2. Zhao, Sizeng, et al. “Structural health monitoring and inspection of dams based on UAV photogrammetry with image 3D reconstruction.” Automation in Construction 130 (2021): 103832. 3. Lercari, N. (2019). Monitoring earthen archaeological heritage using multi-temporal terrestrial laser scanning and surface change detection. Journal of Cultural Heritage, 39, 152–165. 4. Nasategay, F. F. U. (2020). Detection and monitoring of tailings dam surface erosion using UAV and machine learning (Doctoral dissertation, University of Nevada, Reno). 5. Matrice 350 RTK. DJI. (n.d.). https://enterprise.dji.com/matrice-350-rtk?site=enterprise&from=nav 6. Support for Zenmuse L1 - DJI. (2014). DJI. https://www.dji.com/support/product/zenmuse-l1 7. DJI Enterprise. (2024). (V 4.2.5). [ DJI Terra]. https://enterprise.dji.com/dji-terra 8. Li, L., Wang, R., & Zhang, X. (2021). A tutorial review on point cloud registrations: principle, classification, comparison, and technology challenges. Mathematical Problems in Engineering, 2021(1), 9953910. 9. CloudCompare project. (2024). (V 2.14.alpha). [ CloudCompare]. https://www.cloudcompare.org/ 10. Lague, D., Brodu, N., & Leroux, J. (2013). Accurate 3D comparison of complex topography with terrestrial laser scanner: Application to the Rangitikei canyon (NZ). ISPRS journal of photogrammetry and remote sensing, 82, 10–26.
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