scholarly journals Research and Application of 3D Laser Scanning in Transparent Longwall

2021 ◽  
Author(s):  
LI Sen ◽  
RONG Yao ◽  
CAO Qiong
Keyword(s):  
Coordinate System ◽  
Coal Mine ◽  
Laser Scanning ◽  
Rapid Development ◽  
Point Clouds ◽  
3D Laser Scanning ◽  
Adaptive Automation ◽  
Digital Format ◽  
Space Coordinate ◽  
Self Adaptive

Abstract With the rapid development of science and technology, the development of coal mining in China is stepping into intelligent mining stage from the mechanized automatic mining stage. And the research of intelligent mining is also upgrading to the self-adaptive automation mining from visual remote intervention. In 2019, the first practice of self-adaptive digital mining technology, which is based on transparent longwall theory, was performed in #43101 longwall of Yujialiang coal mine and made notable gains. The 3D laser scanning technology, which played an important role in technology architecture of Yujialiang coal mine’s transparent longwall practice, transformed the mined longwall space information into digital format and then provided reliable basic data for cutting template calculation. This paper introduces application of 3D laser scanning in Yujialiang coal mine in detail, including principle of 3D laser scanning, detection of intersecting curve between longwall’s coal wall and roof, neighbor point-clouds splicing, transformation for longwall pointcloud from local space coordinate system to 3D geological model’s global space coordinate system. The experiment result in #43101 longwall of Yujialiang coal mine demonstrated that 3D laser scanning technology, which is able to quickly and precisely capture mined longwall space information, is a important sensing technology involved by self-adaptive automation mining.

scholarly journals RESEARCH ON COORDINATE TRANSFORMATION METHOD OF GB-SAR IMAGE SUPPORTED BY 3D LASER SCANNING TECHNOLOGY

2018 ◽  
Vol XLII-3 ◽  
pp. 1757-1763 ◽  
Author(s):  
P. Wang ◽  
C. Xing
Keyword(s):  
Coordinate System ◽  
Laser Scanning ◽  
Three Dimensional ◽  
Estimation Method ◽  
Image Plane ◽  
Point Clouds ◽  
Transformation Method ◽  
Deformation Monitoring ◽  
Sar Image ◽  
3D Laser Scanning

In the image plane of GB-SAR, identification of deformation distribution is usually carried out by artificial interpretation. This method requires analysts to have adequate experience of radar imaging and target recognition, otherwise it can easily cause false recognition of deformation target or region. Therefore, it is very meaningful to connect two-dimensional (2D) plane coordinate system with the common three-dimensional (3D) terrain coordinate system. To improve the global accuracy and reliability of the transformation from 2D coordinates of GB-SAR images to local 3D coordinates, and overcome the limitation of traditional similarity transformation parameter estimation method, 3D laser scanning data is used to assist the transformation of GB-SAR image coordinates. A straight line fitting method for calculating horizontal angle was proposed in this paper. After projection into a consistent imaging plane, we can calculate horizontal rotation angle by using the linear characteristics of the structure in radar image and the 3D coordinate system. Aided by external elevation information by 3D laser scanning technology, we completed the matching of point clouds and pixels on the projection plane according to the geometric projection principle of GB-SAR imaging realizing the transformation calculation of GB-SAR image coordinates to local 3D coordinates. Finally, the effectiveness of the method is verified by the GB-SAR deformation monitoring experiment on the high slope of Geheyan dam.

scholarly journals EQUAL PROPORTION REPRODUCTION METHOD OF GROTTO BASED ON POINT CLOUD

2019 ◽  
Vol XLII-2/W15 ◽  
pp. 1215-1219
Author(s):  
P. Wei ◽  
A. Li ◽  
M. Hou ◽  
L. Zhu ◽  
D. Xu ◽  
...  
Keyword(s):  
3D Printing ◽  
Point Cloud ◽  
Laser Scanning ◽  
New Technologies ◽  
Rapid Development ◽  
Point Clouds ◽  
Equal Proportion ◽  
3D Laser Scanning ◽  
Printing Technology ◽  
3D Printing Technology

<p><strong>Abstract.</strong> The rapid development of 3D laser scanning and 3D printing technology provides new technologies and ideas for cultural relic protection and reproduction. Aiming at the requirement of equal proportional reproduction of large-scale grottoes, this paper takes the point cloud data of the 18th Cave of Yungang Grottoes obtained by 3D laser scanning as an example, and proposes a data processing and reproduction block partitioning method for equal proportion reproduction. The Cyclone, Geomagic and AutoCAD software were used to construct the 3D model of the grotto, and the 3D printing technology was used to realize the secondary design and model print. Among them, the research focuses on the modeling of massive point clouds and the method of model partitioning based on voxels. It can meet the requirements of movable and assembly while realizing the equal proportional reproduction of the whole grotto. The research results and application can be a good reference for the future grotto reproduction work.</p>

scholarly journals Automatic Indoor Reconstruction from Point Clouds in Multi-room Environments with Curved Walls

Sensors ◽  
2019 ◽  
Vol 19 (17) ◽  
pp. 3798 ◽  
Author(s):  
Fan Yang ◽  
Gang Zhou ◽  
Fei Su ◽  
Xinkai Zuo ◽  
Lei Tang ◽  
...  
Keyword(s):  
Laser Scanning ◽  
Rapid Development ◽  
Point Clouds ◽  
Indoor Environments ◽  
Reconstruction Methods ◽  
Straight Line ◽  
Recent Developments ◽  
A Cell ◽  
Curved Walls ◽  
Indoor Reconstruction

Recent developments in laser scanning systems have inspired substantial interest in indoor modeling. Semantically rich indoor models are required in many fields. Despite the rapid development of 3D indoor reconstruction methods for building interiors from point clouds, the indoor reconstruction of multi-room environments with curved walls is still not resolved. This study proposed a novel straight and curved line tracking method followed by a straight line test. Robust parameters are used, and a novel straight line regularization method is achieved using constrained least squares. The method constructs a cell complex with both straight lines and curved lines, and the indoor reconstruction is transformed into a labeling problem that is solved based on a novel Markov Random Field formulation. The optimal labeling is found by minimizing an energy function by applying a minimum graph cut approach. Detailed experiments were conducted, and the results indicate that the proposed method is well suited for 3D indoor modeling in multi-room indoor environments with curved walls.

scholarly journals TOWARDS THE AUTOMATIC 3D PARAMETRIZATION OF NON-PLANAR SURFACES FROM POINT CLOUDS IN HBIM APPLICATIONS

2019 ◽  
Vol XLII-2/W15 ◽  
pp. 1023-1030
Author(s):  
J. Román ◽  
P. M. Lerones ◽  
J. Llamas ◽  
E. Zalama ◽  
J. Gómez-García-Bermejo
Keyword(s):  
Point Cloud ◽  
Input Data ◽  
Laser Scanning ◽  
Middle Age ◽  
Point Clouds ◽  
3D Laser Scanning ◽  
Architectural Elements ◽  
Planar Surfaces ◽  
Architectural Features ◽  
Renaissance Period

<p><strong>Abstract.</strong> 3D laser scanning and photogrammetric 3D reconstruction generate point clouds from which the geometry of BIM models can be created. However, a few methods do this automatically for concrete architectural elements, but in no case for the entirety of heritage assets. A novel procedure for the automatic recognition and parametrization of non-planar surfaces of heritage immovable assets is presented using point clouds as raw input data. The methodology is able to detect the most relevant architectural features in a point cloud and their interdependences through the analysis of the intersections of related elements. The non-planar surfaces detected, mainly cylinders, are studied in relation to the neighbouring planar surfaces present in the cloud so that the boundaries of both the planar and the non-planar surfaces are accurately defined. The procedure is applied to the emblematic Castle of Torrelobatón, located in Valladolid (Spain) to allow the cataloguing of required elements, as illustrative example of the European defensive architecture from the Middle age to the Renaissance period. Results and conclusions are reported to evaluate the performance of this approach.</p>

scholarly journals THE ASSESSMENT OF CURVED CENTERLINE GENERATION IN HDMAPS BASED ON POINT CLOUDS

2020 ◽  
Vol XLIII-B1-2020 ◽  
pp. 285-290
Author(s):  
J. C. Zeng ◽  
K. W. Chiang
Keyword(s):  
Laser Scanning ◽  
Road Traffic ◽  
Rapid Development ◽  
Point Clouds ◽  
Horizontal Direction ◽  
Traffic Information ◽  
Large Field ◽  
High Definition ◽  
3D Space ◽  
Lane Line

Abstract. Over the decades, autonomous driving technology has attracted a lot of attention and is under rapid development. However, it still suffers from inadequate accuracy in a certain area, such as the urban area, Global Navigation Satellite System (GNSS) hostile area, due to the multipath interference or Non-Line-of-Sight (NLOS) reception. In order to realize fully autonomous applications, High Definition Maps (HD Maps) become extra assisted information for autonomous vehicles to improve road safety in recent years. Compared with the conventional navigation maps, the accuracy requirement in HD Maps, which is 20 cm in the horizontal direction and 30 cm in 3D space, is considerably higher than the conventional one. Additionally, HD Maps consist of rich and high accurate road traffic information and road elements. For the requirement of high accuracy, conducting a Mobile Laser Scanning (MLS) system is an appropriate method to collect the geospatial data accurately and efficiently. Nowadays, digital vector maps are constructed by digitalizing manually on the collected data. However, the manual process spends a lot of manpower and is not efficient and practical for a large field. Therefore, this paper proposes to automatically construct the crucial road elements, such as road edge, lane line, and centerline, to generate the HD Maps based on point clouds collected by the MMS from the surveying company. The RMSEs in the horizontal direction of the road edge, lane line, and centerline are all lower than 30 cm in 3D space.

scholarly journals Point cloud and BIM model registration based on genetic algorithm and ICP algorithm

2021 ◽  
Vol 2132 (1) ◽  
pp. 012007
Author(s):  
Chun Liu ◽  
Meijing Guang ◽  
Shanshan Yu
Keyword(s):  
Genetic Algorithm ◽  
Point Cloud ◽  
Laser Scanning ◽  
Rapid Development ◽  
3D Laser Scanning ◽  
Denoising Method ◽  
Icp Algorithm ◽  
Cloud Data ◽  
Coarse Registration ◽  
Registration Scheme

Abstract With the rapid development of the construction industry, BIM technology, and 3D laser scanning technology are being used more and more widely, and there are many applications of combining BIM technology with 3D laser scanning technology, such as quality inspection, progress inspection, or digital preservation of ancient buildings. Therefore, this paper proposes a 3D point cloud and BIM model registration scheme based on genetic algorithm and ICP algorithm, firstly, the point cloud data is pre-processed by statistical denoising method for denoising and downsampling, and the BIM model data is converted to format data; then the coarse registration is performed by genetic algorithm, and the accurate registration is performed by ICP algorithm based on KD-tree, and finally, we experimentally verify the feasibility of the algorithm in this paper, and compared with the ICP algorithm, the registration efficiency and accuracy of the algorithm in this paper are greatly improved.

scholarly journals Absolute Positioning and Orientation of MLSS in a Subway Tunnel Based on Sparse Point-Assisted DR

Sensors ◽  
2020 ◽  
Vol 20 (3) ◽  
pp. 645
Author(s):  
Qian Wang ◽  
Chao Tang ◽  
Cuijun Dong ◽  
Qingzhou Mao ◽  
Fei Tang ◽  
...  
Keyword(s):  
Coordinate System ◽  
Laser Scanning ◽  
Local Coordinate System ◽  
Point Clouds ◽  
Measurement Unit ◽  
Scanning System ◽  
Control Points ◽  
Starting Point ◽  
Inspection Work ◽  
Subway Tunnels

When performing the inspection of subway tunnels, there is an immense amount of data to be collected and the time available for inspection is short; however, the requirement for inspection accuracy is high. In this study, a mobile laser scanning system (MLSS) was used for the inspection of subway tunnels, and the key technology of the positioning and orientation system (POS) was investigated. We utilized the inertial measurement unit (IMU) and the odometer as the core sensors of the POS. The initial attitude of the MLSS was obtained by using a static initial alignment method. Considering that there is no global navigation satellite system (GNSS) signal in a subway, the forward and backward dead reckoning (DR) algorithm was used to calculate the positions and attitudes of the MLSS from any starting point in two directions. While the MLSS passed by the control points distributed on both sides of the track, the local coordinates of the control points were transmitted to the center of the MLSS by using the ranging information of the laser scanner. Then, a four-parameter transformation method was used to correct the error of the POS and transform the 3-D state information of the MLSS from a navigation coordinate system (NCS) to a local coordinate system (LCS). This method can completely eliminate a MLSS’s dependence on GNSS signals, and the obtained positioning and attitude information can be used for point cloud data fusion to directly obtain the coordinates in the LCS. In a tunnel of the Beijing–Zhangjiakou high-speed railway, when the distance interval of the control points used for correction was 120 m, the accuracy of the 3-D coordinates of the point clouds was 8 mm, and the experiment also showed that it takes less than 4 h to complete all the inspection work for a 5–6 km long tunnel. Further, the results from the inspection work of Wuhan subway lines showed that when the distance intervals of the control points used for correction were 60 m, 120 m, 240 m, and 480 m, the accuracies of the 3-D coordinates of the point clouds in the local coordinate system were 4 mm, 6 mm, 7 mm, and 8 mm, respectively.

scholarly journals A Rapid Terrestrial Laser Scanning Method for Coastal Erosion Studies: A Case Study at Freeport, Texas, USA

Sensors ◽  
2019 ◽  
Vol 19 (15) ◽  
pp. 3252 ◽  
Author(s):  
Lin Xiong ◽  
Guoquan Wang ◽  
Yan Bao ◽  
Xin Zhou ◽  
Kuan Wang ◽  
...  
Keyword(s):  
Data Acquisition ◽  
Coordinate System ◽  
Laser Scanning ◽  
Coastal Region ◽  
Vertical Direction ◽  
Terrestrial Laser Scanning ◽  
Point Clouds ◽  
Strong Wind ◽  
Scanning Method ◽  
Morphological Studies

Terrestrial laser scanning (TLS) has become a powerful data acquisition technique for high-resolution high-accuracy topographic and morphological studies. Conventional static TLS surveys require setting up numerous reflectors (tie points) in the field for point clouds registration and georeferencing. To reduce surveying time and simplify field operational tasks, we have developed a rapid TLS surveying method that requires only one reflector in the field. The method allows direct georeferencing of point clouds from individual scans to an East–North–Height (ENH) coordinate system tied to a stable geodetic reference frame. TLS datasets collected at a segment of the beach–dune–wetland area in Freeport, Texas, USA are used to evaluate the performance of the rapid surveying method by comparing with kinematic GPS measurements. The rapid surveying method uses two GPS units mounted on the scanner and a reflector for calculating the northing angle of the scanner’s own coordinate system (SOCS). The Online Positioning User Service (OPUS) is recommended for GPS data processing. According to this study, OPUS Rapid-Static (OPUS-RS) solutions retain 1–2 cm root mean square (RMS) accuracy in the horizontal directions and 2–3 cm accuracy in the vertical direction for static observational sessions of approximately 30 min in the coastal region of Texas, USA. The rapid TLS surveys can achieve an elevation accuracy (RMS) of approximately 3–5 cm for georeferenced points and 2–3 cm for digital elevation models (DEMs). The elevation errors superimposed into the TLS surveying points roughly fit a normal distribution. The proposed TLS surveying method is particularly useful for morphological mapping over time in coastal regions, where strong wind and soft sand prohibit reflectors from remaining strictly stable for a long period. The theories and results presented in this paper are beneficial to researchers who frequently utilize TLS datasets in their research, but do not have opportunities to be involved in field data acquisition.

scholarly journals 3D SCANNING METHODOLOGY: BELL TOWER OF SANTA <i>MARÍA DE DAROCA</i>’S CHURCH (SPAIN)

2020 ◽  
Vol XLIV-M-1-2020 ◽  
pp. 373-379
Author(s):  
C. López González ◽  
P. Germes Valls
Keyword(s):  
Laser Scanning ◽  
Point Clouds ◽  
3D Laser Scanning ◽  
Great Precision ◽  
Bell Tower ◽  
Architectural Styles ◽  
Depth Study ◽  
Cultural Interest ◽  
Materials Used ◽  
The City

Abstract. Santa María’s Church finds its origins in a medieval mosque located in the city of Daroca, whose historical centre was declared a Historic-Artistic Complex (1968) and, at present, it is considered an "Asset of Cultural Interest". The bell tower is the only remnant of the Islamic mosque that is preserved. In the 14th century, the Mudejar tower was covered with ashlar masonry and increased in height. The conjunction of successive stages of construction, with the different construction systems and materials used in each period, as well as the different architectural styles that can be contemplated in this tower, convert it into a unique and complex exemplary work. However, despite being a bell tower of great heritage value, there is no rigorous planimetry available of any kind allowing its in-depth study. Due to its complexity and diversity of materials, it has required the use of the 3D laser scanning technology. The shortage of space and light made it necessary to carefully plan the sequential stationing process and the results have been very satisfactory. The scanning has allowed detection of the tower’s inclination with great precision and has facilitated the visualization of the meeting point of both Arabesque and Christian remnants. It has also been proven that the bell tower’s inclination is not uniform throughout the height of the closing wall, but is slightly straightened from the Christian period. This communication describes the process followed to perform the scanning and subsequent manipulation of point clouds, presenting the results obtained.

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