Worldwide mining operations, which account for nearly 11% of global power consumption, are 28% less productive today than a decade ago. Meanwhile, mobile equipment was present in nearly 40% of mining fatalities and more than 30% of injuries in 2017. Building intelligence into existing mining excavators improves the safety, productivity, and energy efficiency of mining. This can provide perception, monitoring, and control capabilities that produce accurate, actionable data for mines. The intelligent excavator has an in-cab monitor that provides real-time status updates and guidance to operators as well as a remote monitoring portal. Multiple sensors, including a rugged camera that overlooks the excavator bucket, high-resolution surveillance cameras, radar, arm geometry, hydraulic pressure monitoring, and electric motor power measurement, sensors are integrated. Additionally, a set of human labeled video frames is used as training inputs to train an artificial neural network (NN) to perform multiple object localization via an optimization process, which (combined with other sensory data) is used to monitor the wear and breakage of sacrificial ground engaging tools (GETs), detect foreign objects, analyze the size distribution of the material inside the bucket, measure the bucket payload, and augment the operator's skill and experience. This information is vital to mining operations aiming to optimize dig, load, and dump cycles for energy consumption, downtime, and operator efficiency. Aside from improving operational efficiency, intelligent excavator solutions enable us to develop highly perceptive shovels with decision-making modules that pave the way for fully autonomous excavator operation.

中文翻译：

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在采矿机中使用人工智能：自动化日常操作决策

如今，占全球电力消耗近11％的全球采矿业务如今的生产率比十年前低了28％。同时，2017年，移动设备占采矿死亡人数的近40％，受伤人数超过30％。在现有的采矿挖掘机中构建智能功能可提高采矿的安全性，生产率和能源效率。这可以提供感知，监视和控制功能，从而为矿山生成准确，可操作的数据。智能挖掘机具有驾驶室内监控器，可为操作员以及远程监控门户提供实时状态更新和指导。多个传感器，包括可俯瞰挖掘机铲斗的坚固型摄像头，高分辨率监控摄像头，雷达，手臂几何形状，液压监控和电动机功率测量，传感器已集成。此外，一组带有人类标签的视频帧被用作训练输入，以训练人工神经网络（NN）通过优化过程执行多目标定位，该过程（与其他感官数据结合使用）用于监视物体的磨损和破损牺牲地面接合工具（GET），检测异物，分析铲斗内物料的尺寸分布，测量铲斗有效载荷，并提高操作员的技能和经验。该信息对于旨在优化挖掘，装载和卸料周期以降低能耗，停机时间和操作员效率的采矿作业至关重要。除了提高运营效率外，