Development of a robot for in situ detection of loess geological information based on machine vision
文献类型：期刊论文
| 作者 | Li, Bolong6,7; Zhang, Hongbing7; Zhang, He7; Zhang, Yaozhong7; Lan, Hengxing4,5; Yan, Changgen3; Liu, Xin2,4; Li, Yunchuang1; Dong, Zhonghong7 |
| 刊名 | ACTA GEOPHYSICA
 |
| 出版日期 | 2025-01-09 |
| 页码 | 27 |
| 关键词 | Pipeline robot Loess Geological information In situ detection Image acquisition |
| ISSN号 | 1895-6572 |
| DOI | 10.1007/s11600-024-01497-y |
| 通讯作者 | Dong, Zhonghong(dzhong@chd.edu.cn) |
| 英文摘要 | The spatial and temporal distribution of loess geological information and its variations under external disturbances can transparentize and digitize the entire process of the genesis, development, and triggering of geological hazards. However, the lack of reliable detection equipment poses a technical bottleneck to this work. To address this, a specialized detection robot has been developed for exploring the intricate structural defects within 150-mm-diameter geological exploration boreholes, as well as for adapting to optical environments and geological features. Accompanied by an optical environment adaptive control algorithm and equipped with a high-precision industrial camera, the robot captures images of the loess geological information at any position within the borehole. This facilitates intelligent image recognition and provides the necessary conditions for obtaining geological information such as moisture content, porosity and fractures, and interfaces. Indoor and outdoor experimental results demonstrate that these robots have a load capacity exceeding 60 kg, facilitating the integration of other detection instruments. Moreover, within complex loess detection boreholes characterized by localized collapse, collapse, debris, and diameter reduction, the robots not only exhibit stable locomotion with a walking speed of up to 13.18 m/h but also maintain a stable distance of 65 +/- 0.1 mm between the industrial camera and the collected images of the borehole wall, within the camera's depth of field, ensuring stable image brightness and guaranteeing the quality of the captured images. The robots developed in this study provide new technical means and platforms for in situ detection of loess geological information. |
| 资助项目 | National Natural Science Foundation of China[41927806] ; National Natural Science Foundation of China |
| WOS研究方向 | Geochemistry & Geophysics |
| 语种 | 英语 |
| WOS记录号 | WOS:001392676700001 |
| 出版者 | SPRINGER INT PUBL AG |
| 资助机构 | National Natural Science Foundation of China ; National Natural Science Foundation of China |
| 源URL | [http://ir.igsnrr.ac.cn/handle/311030/212527]  |
| 专题 | 中国科学院地理科学与资源研究所 |
| 通讯作者 | Dong, Zhonghong |
| 作者单位 | 1.China Construct First Bldg Grp Corp Ltd, Xian 710075, Shaanxi, Peoples R China 2.Minist Nat Resources, Key Lab Ecol Geol & Disaster Prevent, Xian 710054, Shaanxi, Peoples R China 3.Changan Univ, Sch Highway, Xi'an 710064, Shaanxi, Peoples R China 4.Changan Univ, Sch Geol Engn & Geomat, Xian 710064, Shaanxi, Peoples R China 5.Chinese Acad Sci, State Key Lab Resources & Environm Informat Syst, Inst Geog Sci & Nat Resources Res, Beijing 100101, Peoples R China 6.TBEA Xian Elect Technol Co Ltd, Xian 710000, Peoples R China 7.Changan Univ, Key Lab Rd Construct Technol & Equipment, Minist Educ, Xian 710064, Shaanxi, Peoples R China |
| 推荐引用方式 GB/T 7714 | Li, Bolong,Zhang, Hongbing,Zhang, He,et al. Development of a robot for in situ detection of loess geological information based on machine vision[J]. ACTA GEOPHYSICA,2025:27. |
| APA | Li, Bolong.,Zhang, Hongbing.,Zhang, He.,Zhang, Yaozhong.,Lan, Hengxing.,...&Dong, Zhonghong.(2025).Development of a robot for in situ detection of loess geological information based on machine vision.ACTA GEOPHYSICA,27. |
| MLA | Li, Bolong,et al."Development of a robot for in situ detection of loess geological information based on machine vision".ACTA GEOPHYSICA (2025):27. |
入库方式： OAI收割
来源：地理科学与资源研究所
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