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Advances in Science and Technology Vol. 166
Title:
12th Annual International Conference on Material Science and Engineering (12th ICMSE)
Subtitle:
Selected peer-reviewed full text papers from the 12th Annual International Conference on Material Science and Engineering (ICMSE 2024)
Edited by:
Prof. Ke Wang and Prof. Bachir Achour
ToC:
Paper Title Page
Abstract: Accurately grasping the distribution of different rocks can achieve the minimum explosive consumption and meet with the requirements of blasting quality; Not only reduces the cost of blasting, but also improves the safety and controllability of blasting. By utilizing the physical reactions to different rocks in the rigs process, the manual assisted learning process of the rig and the two stages of automatic drilling are proposed; After the automatic drilling, the lithology distribution of the borehole can be obtained in real time. The automatic drilling is the key to achieving fine blasting. Combined with the research of specific rigs and data processing methods. A KNN recognition model is established to construct the relationship between various indicators and lithology under certain confidence conditions, and this method can achieve automatic real-time adjustment and control of drilling parameters.
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