Spoil characterisation using UAV-based optical remote sensing in coal mine dumps

IF 6.9 1区 工程技术 Q2 ENERGY & FUELS
Sureka Thiruchittampalam, Sarvesh Kumar Singh, Bikram Pratap Banerjee, Nancy F. Glenn, Simit Raval
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引用次数: 0

Abstract

Abstract The structural integrity of mine dumps is crucial for mining operations to avoid adverse impacts on the triple bottom-line. Routine temporal assessments of coal mine dumps are a compliant requirement to ensure design reconciliation as spoil offloading continues over time. Generally, the conventional in-situ coal spoil characterisation is inefficient, laborious, hazardous, and prone to experts' observation biases. To this end, this study explores a novel approach to develop automated coal spoil characterisation using unmanned aerial vehicle (UAV) based optical remote sensing. The textural and spectral properties of the high-resolution UAV images were utilised to derive lithology and geotechnical parameters (i.e., fabric structure and relative density/consistency) in the proposed workflow. The raw images were converted to an orthomosaic using structure from motion aided processing. Then, structural descriptors were computed per pixel to enhance feature modalities of the spoil materials. Finally, machine learning algorithms were employed with ground truth from experts as training and testing data to characterise spoil rapidly with minimal human intervention. The characterisation accuracies achieved from the proposed approach manifest a digital solution to address the limitations in the conventional characterisation approach.

Abstract Image

基于无人机光学遥感的煤矿排土场矸石特征分析
摘要矿山排土场的结构完整性是矿山生产中避免对三重底线产生不利影响的关键。煤矿排土场的常规时间评估是一项合规要求,以确保随着时间的推移,随着矸石的卸载继续进行设计协调。一般来说,传统的煤矸石原位表征方法效率低、费力、危险,而且容易受到专家观察偏差的影响。为此,本研究探索了一种利用基于无人机(UAV)的光学遥感技术开发自动化煤矸石表征的新方法。在提出的工作流程中,利用高分辨率无人机图像的纹理和光谱特性来推导岩性和岩土参数(即织物结构和相对密度/一致性)。使用运动辅助处理的结构将原始图像转换为正交图像。然后,计算每像素的结构描述符以增强废土材料的特征模态。最后,机器学习算法与专家的真实情况一起作为训练和测试数据,在最少的人为干预下快速表征破坏。从所提出的方法中获得的表征精度表明了一种数字解决方案,以解决传统表征方法中的局限性。
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来源期刊
CiteScore
11.40
自引率
8.40%
发文量
678
审稿时长
12 weeks
期刊介绍: The International Journal of Coal Science & Technology is a peer-reviewed open access journal that focuses on key topics of coal scientific research and mining development. It serves as a forum for scientists to present research findings and discuss challenging issues in the field. The journal covers a range of topics including coal geology, geochemistry, geophysics, mineralogy, and petrology. It also covers coal mining theory, technology, and engineering, as well as coal processing, utilization, and conversion. Additionally, the journal explores coal mining environment and reclamation, along with related aspects. The International Journal of Coal Science & Technology is published with China Coal Society, who also cover the publication costs. This means that authors do not need to pay an article-processing charge.
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