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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.

准确的地质和岩土工程信息，特别是岩石断裂的方向，对于安全的地下开口的设计至关重要。被称为“采场”的大型、不规则的矿井开口由于地质技术数据不足而特别容易坍塌，但准确的数据很少，因为进入往往不安全，而且其他可用工具（激光雷达和地面摄影测量）有限。随着无人驾驶飞行器（称为无人机或无人机）的最新进展，如果能够克服与照明，飞行控制和图像地理参考相关的挑战，基于无人机的数字摄影测量有可能实现这些大型无支撑地下开口的高质量岩土表征。本研究将解决这些问题，并将进行一套室内和现场实验，以初步测试该系统。这项研究的结果有可能通过提高采矿和地下建筑行业的安全性来造福社会，并有可能应用于各种其他领域，从灾害应对（倒塌或受损建筑物的检查）到封闭空间（洞穴，储罐，船舶等）的探索。该项目的主要目标是开发一种基于无人机的数字摄影测量系统，用作无法进入的地下（无照明）场地的岩土工程特征描述工具。该系统将能够捕捉到高质量的照片（光线充足，不模糊），有足够的重叠，以提供立体覆盖。这需要组装一架无人机，该无人机可以携带拍摄图像的设备以及所需的照明和电池，并且可以被引导到精确控制的位置。可以研究的选项包括视频与静止图像，环境与闪光灯，以及驾驶与自主导航系统。此外，还需要一些控制点，以根据多组照片建立地理参照三维模型;还将开发和测试一个建立这些控制点的系统。该系统将在蒙大拿理工大学校园的室内空间和附近地下矿井的现场进行测试。室内和地下空间的3D模型的准确性，包括现场岩体中裂缝的方向，将被量化。该项目将为PI和学生提供与采矿业代表以及NIOSH斯波坎研究实验室（专注于矿山安全和健康研究）人员互动的绝佳机会。它还将为地质工程系的研究人员建立基础设施，为未来涉及无人机数据收集的研究项目做出贡献，并为参与这项研究的学生提供这种最先进的技术。

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