利用爆炸视觉®技术进行墙体控制和爆炸模式分析

Maral Malekian, M. Momayez, P. Bellett, Stefania Mancino, Fernanda Carrea
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引用次数: 0

摘要

井壁控制和爆破是影响露天矿生产效率和安全生产的两大活动。虽然许多监测设备用于改善边坡稳定性,但仍然需要了解爆炸时边坡的行为。本文介绍了一种名为Blast Vision®的新技术,由Ground Probe开发,用于监测爆破和边坡稳定性之间的相互作用,时间分辨率在毫秒范围内。这项技术代表了一种创新,它通过基于无人机的计算机视觉来测量地面表面的地面亮度变化,而不是标准的爆炸振动传感器。爆破视觉在边坡稳定性、失火和飞岩方面的应用研究。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
WALL CONTROL AND BLAST PATTERN ANALYSIS USING BLAST VISION® TECHNOLOGY
Wall control and blasting are two major activities that significantly impact the productivity and safety of open-pit mining operations. Although many monitoring equipment are used for improving slope stability, there is still a need for understanding slope behaviour during a blast. This paper describes a new technology called Blast Vision®, developed by Ground Probe, for monitoring the interaction between blasting and slope stability with a temporal resolution in the range of milliseconds. This technology represents an innovative departure from standard blast vibration sensors by measuring ground luminance changes on the ground surface through drone-based computer vision. Blast Vision application for slope stability, misfires and fly rocks is investigated in this publication.
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