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The application of unmanned aerial vehicle technology to detect blast movement

机译:无人驾驶汽车技术检测爆破运动的应用

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More than 100 mines use BMT? designed Blast Movement Monitors (BMM?s) to measure blast movement, so that ore polygons can be translated to an accurate post-blast digging location. By translating ore polygons to an accurate post-blast digging locations, mines minimise ore loss, dilution and misclassification, and maximise grade and recovered tonnes, which adds tens of millions of dollars to their bottom line. As part of the monitoring process, mine personnel walk the muck pile to detect BMMs. At some mines, the muck pile can be dangerous because gas, voids and unstable ground create a range of safety risks that require administrative controls. To eliminate these hazards, BMT has equipped a drone with BMM detection hardware to locate BMMs post-blast. Mine personnel are not required on the muck pile, which reduces safety risks and potentially minimises production delays resulting from standoff periods. This paper presents the UAV-BMM detection results from an Australian iron ore mine, where muck piles are treacherous and personnel safety concerns restrict Grade Control's ability to monitor blast movement. This combination of technologies not only improves the lives and safety of mining personnel across six continents, but also enables organisations with strict off-the-muck pile policies to accurately account for blast movement and recover the full resource.
机译:超过100米使用BMT?设计的爆破运动监视器(BMM?S)测量爆炸运动,使矿石多边形可以转换为精确的爆破挖掘位置。通过将矿石多边形转换为准确的爆破挖掘位置,地雷最小化矿石损失,稀释和错误分类,最大化等级和恢复的吨,这增加了数千万美元的底线。作为监测过程的一部分,矿工人员走了泥土堆来检测BMM。在一些矿山,泥块桩可能是危险的,因为天然气,空隙和不稳定的地面会产生一系列需要行政控制的安全风险。为了消除这些危险,BMT配备了具有BMM检测硬件的无人机,以便后发后BMM。 Mock堆不需要矿工人员,这降低了安全风险,并可能最大限度地减少由支出期间产生的生产延误。本文介绍了澳大利亚铁矿石矿山的UAV-BMM检测结果,摩克桩是奸诈和人员安全问题限制了级别控制监测爆炸运动的能力。这种技术的组合不仅可以提高六大大陆的矿业人员的生命和安全性,而且还使组织能够严格地消除摩尔人,以准确占爆炸运动并恢复完整资源。

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