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On the Opportunities for Using Mobile Devices for Activity Monitoring and Understanding in Mining Applications

机译:在采矿应用中使用移动设备进行活动监控和了解的机会

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Over the last decades, number of embedded and portable computer systems for monitoring of activities of miners and underground environmental conditions that have been developed has increased. However, their potential in terms of computing power and analytic capabilities is still underestimated. In this paper we elaborate on the recent examples of the use of wearable devices in mining industry. We identify challenges for high level monitoring of mining personnel with the use of mobile and wearable devices. To address some of them, we propose solutions based on our recent works, including context-aware data acquisition framework, physiological data acquisition from wearables, methods for incomplete and imprecise data handling, intelligent data processing and reasoning module, hybrid localization using semantic maps, and adaptive power management. We provide a basic use case to demonstrate the usefulness of this approach.
机译:在过去的几十年中,已经开发出了用于监视矿工活动和地下环境状况的嵌入式和便携式计算机系统。但是,它们在计算能力和分析能力方面的潜力仍被低估了。在本文中,我们详细介绍了可穿戴设备在采矿业中使用的最新示例。我们确定了使用移动和可穿戴设备进行采矿人员高层监控的挑战。为了解决其中的一些问题,我们基于最近的工作提出了解决方案,包括上下文感知数据获取框架,从可穿戴设备获取生理数据,不完整和不精确数据处理的方法,智能数据处理和推理模块,使用语义图的混合定位,和自适应电源管理。我们提供了一个基本的用例来证明这种方法的有用性。

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