UWB Radar Imaging Method for the Longwall Retreat and Creep Displacements Measurement in Underground Coal Mine

Wang, Shijia; Wang, Shibo

doi:10.1109/tase.2023.3298948

Cited by 1 publication

(2 citation statements)

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“…(a) (b) In CUMT, the authors of this paper provided a novel measurement solution with the ultra-wideband (UWB) radar imaging method [32]. UWB radar is characterized by a radar with a fractional bandwidth exceeding 25%.…”

Section: Afcmentioning

confidence: 99%

“…Then, the feature-based image registration algor was employed to identify the correct-match pairs, and subsequently, the similarity t formation model was calculated to determine the retreat and creep displacements measurement device was developed (Figure 14b), and the algorithm program inclu radar imaging and image registration were embedded. The field text was perform In CUMT, the authors of this paper provided a novel measurement solution with the ultra-wideband (UWB) radar imaging method [32]. UWB radar is characterized by a radar with a fractional bandwidth exceeding 25%.…”

Section: Afcmentioning

confidence: 99%

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Longwall Mining Automation—The Shearer Positioning Methods between the Longwall Automation Steering Committee and China University of Mining and Technology

Dai,

Wang,

Wang

2023

Applied Sciences

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The shearer positioning method is of great significance to the automation of longwall mining. The research teams in the Longwall Automation Steering Committee (LASC) of Australia and China University of Mining and Technology (CUMT) have focused on shearer positioning and identified the shearer inertial navigation system, the measurement of longwall retreat and creep displacement, and the backward calibration of the shearer trajectory as three key technologies to obtain accurate shearer positioning information. In underground environments without GPS, due to the characteristics of inertial navigation system (INS) autonomous full-parameter navigation, shearer positioning based on INS is adopted by the LASC and CUMT, and error reduction algorithms are proposed to inhibit the rapid error accumulation of INS. In order to obtain the periodic calibration information when the shearer reaches the end of the longwall face, it is necessary to measure the retreat and creep displacements in order to back-correct the shearer trajectory. Finding a suitable measurement method for this task is challenging, especially in the presence of dust and moisture. The LASC used a scanning laser and FMR 250 microwave radar to measure these two displacements, while CUMT adopted an ultra-wideband (UWB) radar. In terms of the backward calibration method, minimum-variance fixed-interval smoothing (MFS) proposed by LASC and the global optimization model (GOM) for the shearer trajectory from CUMT are described in detail. The experiment demonstrates that the GOM outperforms MFS in terms of accuracy but requires more computational resources. Therefore, our next research objective is to develop an efficient and accurate algorithm for performing backward calibration on the shearer trajectory.

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Section: Afcmentioning

confidence: 99%

Section: Afcmentioning

confidence: 99%