Monitoring of Surrounding Rock Deformation in Underground Roadways Using 3D Laser Scanning and Analysis of Environmental Influencing Factors.
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| Title: | Monitoring of Surrounding Rock Deformation in Underground Roadways Using 3D Laser Scanning and Analysis of Environmental Influencing Factors. |
|---|---|
| Authors: | Chen, Zhongshun1,2 (AUTHOR), Yuan, Yong1,2 (AUTHOR) cumt-yuanyong@cumt.edu.cn, Liu, Zhenkun1 (AUTHOR), Li, Heng1,2 (AUTHOR) |
| Source: | Remote Sensing. May2026, Vol. 18 Issue 9, p1279. 19p. |
| Subjects: | Rock deformation, Measurement errors, Geotechnical engineering, Point cloud, Coal mining safety, Geological modeling, Optical scanners |
| Abstract: | Highlights: What are the main findings? The effects of scanning resolution, object color, dust concentration, and scanner position on measurement errors were quantified, demonstrating that the errors are within acceptable limits for underground roadway measurements. Deformation and cross-sectional data of underground roadways were acquired using a 3D laser scanner, and the feasibility of this approach for roadway monitoring was validated through application at the Zouzhuang Coal Mine. What are the implications of the main findings? The application of 3D laser scanning improves both measurement efficiency and accuracy in underground roadway monitoring. The generation and processing of point cloud data enable the construction of three-dimensional geological models, thereby promoting the development of intelligent mines. Underground roadways are essential for personnel movement and equipment transport in coal mines, and the stability and deformation of surrounding rock are critical to mine safety. Traditional methods for monitoring surrounding rock deformation in underground coal mining are time-consuming, inefficient, and require on-site manual measurements. To improve monitoring efficiency and reduce acquisition time, a 3D laser scanning system was employed for deformation monitoring. However, in complex underground environments, 3D laser scanning is affected by multiple environmental factors. Controlled experiments were designed to simulate these conditions, and the effects of scanning resolution, object color, dust concentration, and scanner position on measurement errors were quantified to evaluate the feasibility of roadway measurements. A simulated roadway deformation environment was constructed, and point cloud data were used to monitor deformation and quantify the measurement error of the 3D laser scanner. A corresponding deformation monitoring system was developed to identify deformation patterns of surrounding rock in underground roadways. The proposed method was applied and validated at the Zouzhuang Coal Mine. The results indicate that the proposed approach can automatically acquire high-accuracy deformation data. [ABSTRACT FROM AUTHOR] |
| Copyright of Remote Sensing is the property of MDPI and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.) | |
| Database: | Engineering Source |
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| Header | DbId: egs DbLabel: Engineering Source An: 193715310 AccessLevel: 6 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Monitoring of Surrounding Rock Deformation in Underground Roadways Using 3D Laser Scanning and Analysis of Environmental Influencing Factors. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Chen%2C+Zhongshun%22">Chen, Zhongshun</searchLink><relatesTo>1,2</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Yuan%2C+Yong%22">Yuan, Yong</searchLink><relatesTo>1,2</relatesTo> (AUTHOR)<i> cumt-yuanyong@cumt.edu.cn</i><br /><searchLink fieldCode="AR" term="%22Liu%2C+Zhenkun%22">Liu, Zhenkun</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Li%2C+Heng%22">Li, Heng</searchLink><relatesTo>1,2</relatesTo> (AUTHOR) – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22Remote+Sensing%22">Remote Sensing</searchLink>. May2026, Vol. 18 Issue 9, p1279. 19p. – Name: Subject Label: Subjects Group: Su Data: <searchLink fieldCode="DE" term="%22Rock+deformation%22">Rock deformation</searchLink><br /><searchLink fieldCode="DE" term="%22Measurement+errors%22">Measurement errors</searchLink><br /><searchLink fieldCode="DE" term="%22Geotechnical+engineering%22">Geotechnical engineering</searchLink><br /><searchLink fieldCode="DE" term="%22Point+cloud%22">Point cloud</searchLink><br /><searchLink fieldCode="DE" term="%22Coal+mining+safety%22">Coal mining safety</searchLink><br /><searchLink fieldCode="DE" term="%22Geological+modeling%22">Geological modeling</searchLink><br /><searchLink fieldCode="DE" term="%22Optical+scanners%22">Optical scanners</searchLink> – Name: Abstract Label: Abstract Group: Ab Data: Highlights: What are the main findings? The effects of scanning resolution, object color, dust concentration, and scanner position on measurement errors were quantified, demonstrating that the errors are within acceptable limits for underground roadway measurements. Deformation and cross-sectional data of underground roadways were acquired using a 3D laser scanner, and the feasibility of this approach for roadway monitoring was validated through application at the Zouzhuang Coal Mine. What are the implications of the main findings? The application of 3D laser scanning improves both measurement efficiency and accuracy in underground roadway monitoring. The generation and processing of point cloud data enable the construction of three-dimensional geological models, thereby promoting the development of intelligent mines. Underground roadways are essential for personnel movement and equipment transport in coal mines, and the stability and deformation of surrounding rock are critical to mine safety. Traditional methods for monitoring surrounding rock deformation in underground coal mining are time-consuming, inefficient, and require on-site manual measurements. To improve monitoring efficiency and reduce acquisition time, a 3D laser scanning system was employed for deformation monitoring. However, in complex underground environments, 3D laser scanning is affected by multiple environmental factors. Controlled experiments were designed to simulate these conditions, and the effects of scanning resolution, object color, dust concentration, and scanner position on measurement errors were quantified to evaluate the feasibility of roadway measurements. A simulated roadway deformation environment was constructed, and point cloud data were used to monitor deformation and quantify the measurement error of the 3D laser scanner. A corresponding deformation monitoring system was developed to identify deformation patterns of surrounding rock in underground roadways. The proposed method was applied and validated at the Zouzhuang Coal Mine. The results indicate that the proposed approach can automatically acquire high-accuracy deformation data. [ABSTRACT FROM AUTHOR] – Name: AbstractSuppliedCopyright Label: Group: Ab Data: <i>Copyright of Remote Sensing is the property of MDPI and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.) |
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| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.3390/rs18091279 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 19 StartPage: 1279 Subjects: – SubjectFull: Rock deformation Type: general – SubjectFull: Measurement errors Type: general – SubjectFull: Geotechnical engineering Type: general – SubjectFull: Point cloud Type: general – SubjectFull: Coal mining safety Type: general – SubjectFull: Geological modeling Type: general – SubjectFull: Optical scanners Type: general Titles: – TitleFull: Monitoring of Surrounding Rock Deformation in Underground Roadways Using 3D Laser Scanning and Analysis of Environmental Influencing Factors. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Chen, Zhongshun – PersonEntity: Name: NameFull: Yuan, Yong – PersonEntity: Name: NameFull: Liu, Zhenkun – PersonEntity: Name: NameFull: Li, Heng IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 05 Text: May2026 Type: published Y: 2026 Identifiers: – Type: issn-print Value: 20724292 Numbering: – Type: volume Value: 18 – Type: issue Value: 9 Titles: – TitleFull: Remote Sensing Type: main |
| ResultId | 1 |
