UAV-based Underground Digital Photogrammetry for Geotechnical Characterization of Fractured Rock Masses

基于无人机的地下数字摄影测量用于裂隙岩体的岩土工程表征

基本信息

批准号：
1742880
负责人：
Mary MacLaughlin
金额：
$ 11.91万
依托单位：
Montana Technological University
依托单位国家：
美国
项目类别：
Standard Grant
财政年份：
2017
资助国家：
美国
起止时间：
2017-08-01 至 2021-07-31
项目状态：
已结题

来源：
https://www.nsf.gov/awardsearch/showAward?AWD_ID=1742880&HistoricalAwards=false
关键词：
UAV based Underground Digital Photogrammetry

项目摘要

Accurate geologic and geotechnical information, particularly orientation of rock fractures, is critical for the design of safe underground openings. Large, irregular mine openings known as "stopes" are particularly susceptible to collapse due to inadequate geotechnical data, but accurate data are scarce because access is often unsafe, and because of the limitations of other available tools (LiDAR and ground-based photogrammetry). With recent advances in unmanned aerial vehicles (known as UAVs, or drones), UAV-based digital photogrammetry has the potential to allow high quality geotechnical characterization of these large, unsupported underground openings if the challenges associated with lighting, flight control, and image georeferencing can be overcome. This research will address these issues, and a suite of indoor and field experiments to pilot test the system will be conducted. The results of this research have the potential to benefit society by enhancing safety in the mining and underground construction industries, and have potential application in a wide variety of other fields ranging from disaster response (inspection of collapsed or damaged buildings), to exploration of enclosed spaces (caves, storage tanks, ships, etc.) and documentation of sensitive historic structures.The primary goal of this project is to develop a UAV-based digital photogrammetry system to be used as a tool for geotechnical characterization of inaccessible underground (unlit) sites. The system would be able to capture good quality photos (well-lit, not blurry) with adequate overlap to provide stereo coverage. This requires assembly of a UAV that can carry the equipment to take the images as well as the required lighting and batteries, and that can be guided to precisely controlled locations. Options that may be investigated include video vs. still images, ambient vs. flash lighting, and piloted vs. autonomous guidance systems. Additionally, a number of control points are required to establish a georeferenced 3D model from sets of photos; a system for establishing those control points will also be developed and tested. The system will be tested in indoor spaces on the Montana Tech campus and in the field at a nearby underground mine. The accuracy of the 3D models of the indoor and underground spaces, including orientations of fractures in the rock mass at the field site, will be quantified. The project will provide excellent opportunities for the PI and students to interact with representatives from the mining industry, and with personnel from the NIOSH Spokane Research Laboratory (which is focused on mine safety and health research). It will also establish the infrastructure for researchers in the Department of Geological Engineering to contribute to future research projects involving UAV-based data collection, and for the students involved in this research to have access to this state-of-the-art technology.

准确的地质和岩土技术信息，尤其是岩石断裂的方向，对于设计安全地下开口的设计至关重要。由于岩土技术不足，大型不规则的矿山开口被称为“停止”特别容易崩溃，但是准确的数据稀缺，因为访问通常不安全，并且由于其他可用工具的局限性（LIDAR和地面摄影测量法）。随着无人机（称为无人机或无人机）的最新进展，基于无人机的数字摄影测量法可以克服这些较大的，不受支持的地下空缺的高质量岩土表征，如果可以克服与照明，飞行控制和图像地理货币相关的挑战。这项研究将解决这些问题，并将进行一系列室内和现场实验，以试点测试该系统。这项研究的结果通过提高采矿和地下建筑行业的安全性有可能使社会受益，并在许多其他领域中具有潜在的应用，包括灾难反应（检查崩溃或损坏的建筑物），探索封闭空间的探索，到对敏感的摄影结构的封闭空间（洞穴，储藏箱，储罐，储藏罐，储藏罐，储藏罐，储藏箱）的启发。无法访问地下（未亮）位点的岩土技术表征。该系统将能够捕获具有足够重叠的优质照片（光线充足，而不是模糊），以提供立体声覆盖。这需要一个无人机的组装，该无人机可以携带设备以拍摄图像以及所需的照明和电池，并且可以引导到精确控制的位置。可以调查的选项包括视频与静止图像，环境与闪光灯以及试验与自主指导系统。此外，还需要许多控制点才能从一组照片集中建立一个地理参考的3D模型；建立这些控制点的系统也将被开发和测试。该系统将在蒙大拿州科技校园的室内空间和附近的地下矿场进行测试。将量化室内和地下空间的3D模型的准确性，包括现场位点的岩石质量裂缝的方向。该项目将为PI和学生与采矿业的代表以及Niosh Spokane Research实验室的人员互动（侧重于矿山安全和健康研究）提供绝佳的机会。它还将为地质工程系的研究人员建立基础设施，以促进涉及基于无人机的数据收集的未来研究项目，以及参与这项研究的学生，以便可以访问这项最先进的技术。

项目成果

期刊论文数量（4）

专著数量（0）

科研奖励数量（0）

会议论文数量（0）

专利数量（0）

UAV-Based Geotechnical Modeling and Mapping of an Inaccessible Underground Site

DOI：
发表时间：
2018-08
期刊：
影响因子：
0
作者：
E. A. Russell;M. Maclaughlin;R. M. Turner
通讯作者：
E. A. Russell;M. Maclaughlin;R. M. Turner

Identifying and mapping potentially adverse discontinuities in underground excavations using thermal and multispectral UAV imagery

DOI：
10.1016/j.enggeo.2019.105470
发表时间：
2020-03
期刊：
Engineering Geology
影响因子：
7.4
作者：
R. M. Turner;M. Maclaughlin;S. Iverson
通讯作者：
R. M. Turner;M. Maclaughlin;S. Iverson

Geotechnical Characterization of Underground Mine Excavations From UAV-Captured Photogrammetric & Thermal Imagery

DOI：
发表时间：
2018-08
期刊：
影响因子：
0
作者：
R. M. Turner;N. Bhagwat;L. Galayda;C. S. Knoll;E. A. Russell;M. Maclaughlin
通讯作者：
R. M. Turner;N. Bhagwat;L. Galayda;C. S. Knoll;E. A. Russell;M. Maclaughlin

Digital Photogrammetry Software Comparison for Rock Mass Characterization

用于岩体表征的数字摄影测量软件比较