A low-cost and real-time pose measurement method for straight pipe jacking machine based on dual-screen laser target in tunneling guidance

Huang, Zhe; Shen, Xiaoling; Wang, Lin; Xu, Yeqian; Yan, Qingde; Cheng, Erjing; Xiao, Heng

doi:10.1016/j.measurement.2022.111110

Cited by 5 publications

(3 citation statements)

References 7 publications

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“…Although this method employed two cameras, it does not strictly qualify as a binocular system. By analyzing laser spots projected by the total station in two images and performing Euler angle calculation, the method proposed in [46] successfully measures the machine's spatial deviation for guidance. Fig.…”

Section: ) Roadheader Body Visual Detectionmentioning

confidence: 99%

Applications of Machine Vision in Coal Mine Fully Mechanized Tunneling Faces: A Review

Du,

Zhang,

Liang

et al. 2023

IEEE Access

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The realization of intelligent mining is the only method for realizing high-quality development in the coal industry. As the forefront working link in mine production, achieving automatic roadway tunneling control is key to improving production efficiency, enhancing intelligence, and reducing accident rates at fully mechanized tunneling working faces. Among various detection techniques, machine vision technology stands out with advantages of non-contact measurement, rich information acquisition, and high detection accuracy. The detection and control of tunneling equipment groups based on machine vision has become a research hotspot in the intelligence process of coal mines. This study first introduces the key technologies of a visual detection system, including camera calibration, image preprocessing, feature extraction, visual matching, target segmentation and recognition, visual measurement, and 3D reconstruction. It then elaborates on detection principles, workflows, limitations, precautions, and development status of various vision detection systems in practical application scenarios at tunneling faces, such as tunneling equipments, anchoring systems, transportation systems, and safety auxiliary systems, which significantly improve production safety and efficiency. Finally, considering challenging work conditions and strong interference in mines, the successful adaptation of machine vision to excavation sites relies on addressing technical challenges related to poor environment adaptability, limited imaging field of view, and low intelligence level. Furthermore, according to existing research results and the current technical status, this paper forecasts key technologies that need to be developed in the future for coal mine intelligent equipment systems based on machine vision, including multi-sensor information fusion, equipment group collaborative control, and digital twin-driven remote monitoring.INDEX TERMS Machine vision, coal machinery equipment, detection and measurement, roadway fully mechanized tunneling faces, unmanned coal mine.

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Section: ) Roadheader Body Visual Detectionmentioning

confidence: 99%

Applications of Machine Vision in Coal Mine Fully Mechanized Tunneling Faces: A Review

Du,

Zhang,

Liang

et al. 2023

IEEE Access

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show abstract

“…Using the method of solving the pose of binocular vision measurement, one of the cameras is set as the reference camera, and the feature point information shot by the non-reference camera is converted into the camera coordinate system of the reference camera by using the known pose relationship between the two cameras, and then the pose relationship between the two components is solved by using the iterative algorithm of pose calculation. Reference [4] puts forward a low-cost real-time pose measurement method of straight pipe jacking machine based on double-screen laser target in tunnel guidance. Through high-performance image processing and grid calibration of target, the spot is accurately positioned on the target.…”

Section: Introductionmentioning

confidence: 99%

Cross-scale wiring target pose measurement method based on visual field space reconstruction algorithm and resolution coupling

Lin,

Wang,

et al. 2024

Fourth International Conference on Machine Learning and Computer Application (ICMLCA 2023)

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In order to accurately measure the pose of cross-scale wiring target, a method for measuring the pose of cross-scale wiring target based on field of view space reconstruction algorithm and resolution coupling is proposed. Construct the pose measurement model of cross-scale wiring target, calculate the three-dimensional rotation coefficient under different coordinate axes, and extract the pose measurement characteristics of cross-scale wiring target according to the coefficient; Under the coupling of the field of view space reconstruction algorithm and resolution, the velocity recurrence relationship between internal and external parameters is obtained, and the position of three-dimensional point cloud is calculated, and the position and attitude measurement results of cross-scale wiring target are obtained, and realize the field of view space reconstruction algorithm and the position and attitude measurement of scale wiring target under resolution coupling. The experimental results show that there is no deviation between the measured trajectory and the expected trajectory under the proposed method, and the measurement error is obviously low, which can obtain better measurement results of cross-scale wiring target pose.

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“…According to engineering practice, Hong et al [9] established a new mathematical model considering the radial offset of pipe jacking. Huang et al [10] used the space matrix transformation method to calculate the parameters of the specified position of a pipe jacking machine. Shou et al [11] comprehensively considered factors such as soil pressure static balance, pipe surface friction, and the driving force behind the pipe string, and the jacking force of curved pipe jacking was theoretically studied.…”

Section: Introductionmentioning

confidence: 99%

Ground Surface Deformation Caused by Pipe Jacking Construction in a Soft Soil Area: An Experiment-Based Study

Tang

Zhou

et al. 2023

Buildings

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Soft soil has the characteristics of high compressibility, large void ratio, and strong structure. Therefore, it is more likely to cause surface subsidence or even surface cracking and collapse when laying oil and gas pipelines in soft soil areas through the pipe jacking method. In this study, test soil was pressurized using a flexible loading bladder, and variable formation losses brought on by pipe jacking were mimicked by varying the loading bladder’s water injection level. The surface deformation brought on by pipe jacking construction is related to the four parameters of stratum loss rate, overburden load, soil disturbance, soil tension fissures, and horizontal deformation. The findings demonstrate that the surface deformation brought on by the excavation gradually reduces and starts to stabilize after the thickness of the overlying soil layer on the pipe jacking surpasses 1.5 times the diameter of the pipe jacking. The constructed settling tank is broader the deeper the jacking pipe is submerged. Further ground surface settling will be exacerbated by the weight above the jacking pipe. The maximum ground surface deformation value will decrease with an increase in the overlying load when the overlying load is high (0.018 MPa).

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A low-cost and real-time pose measurement method for straight pipe jacking machine based on dual-screen laser target in tunneling guidance

Cited by 5 publications

References 7 publications

Applications of Machine Vision in Coal Mine Fully Mechanized Tunneling Faces: A Review

Applications of Machine Vision in Coal Mine Fully Mechanized Tunneling Faces: A Review

Cross-scale wiring target pose measurement method based on visual field space reconstruction algorithm and resolution coupling

Ground Surface Deformation Caused by Pipe Jacking Construction in a Soft Soil Area: An Experiment-Based Study

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