基于三维光探测与测距技术的矿山颗粒物探测

Zachary Osterwisch, Alexander Mauntel, Nathanael Nisbett, Dibbya Barua, Ahmad Alsharoa
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引用次数: 0

摘要

本文提出了一种新型便携式原型和独立的空气质量(AQ)监测装置,该装置利用光探测和测距(LiDAR)技术进行测量。该装置通过对矿井内空气质量的采集和分析,并实时显示给工作人员,以提高矿山安全生产。其目的是创建一个环境的3D地图,并显示潜在危险的大气颗粒物(APM)。为了实现这一目标,我们设计了一个便携、紧凑、易于操作的系统原型,该系统利用激光雷达来检测APM。然后,我们提出了如何使用收集到的数据来计算实时空气质量状况。最后,我们举例说明了选定的结果,以表明我们的新原型的重要性和可行性。
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Particulate Matter Detection in Mines Using 3D Light Detection and Ranging Technology
This paper proposes a novel portable prototype and self-contained Air Quality (AQ) monitoring device that utilizes Light Detection and Ranging (LiDAR) technology to take its measurements. The novel device aims to improve mining safety by collecting and analyzing the AQ inside mines and displaying the real-time conditions to personnel. The intent is to create a 3D map of the environment and display potentially hazardous Atmospheric Particulate Matter (APM). To achieve this goal, we prototype a portable, compact, and easy-to-operate system that utilizes LiDAR to detect APM. Then, we propose how the collected data can be used to calculate real-time AQ conditions. Finally, we illustrate selected results to show the importance and feasibility of our novel prototype.
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