Optimization of blasting parameters and prediction of vibration effects in open pit mines based on deep neural networks

Embedded systems in production equipment and Internet of Things (IoT) sensors on production lines are one of the elements that constitute an industrial cyber-physical system. In this paper, an in-depth study and analysis of the optimization of blasting parameters and prediction of vibration effects...

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Bibliografische Detailangaben

Hauptverfasser:	Runcai Bai, Pengfei Zhang, Zhiqiang Zhang, Xue Sun, Honglu Fei, Shijie Bao, Gang Hu, Wenyan Li
Format:	Artigo
Sprache:	Inglês
Veröffentlicht:	Elsevier 2023-05-01
Schriftenreihe:	Alexandria Engineering Journal
Schlagworte:	Deep neural network Open pit blasting Parameter optimization Vibration effect prediction
Online-Zugang:	http://www.sciencedirect.com/science/article/pii/S1110016823001485
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