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Application of BLSS-PE mine 3d laser scanning measurement system in stability analysis of a uranium mine goaf

Sun Gangyou, Xia Yuandi, Kang Qinrong, Zhang Weizhong, Hu Qingzhen, Yuan Wei

Archives of Mining Sciences

2023

Vol. 68, no. 3

443--456

Accurate understanding of the three-dimensional (3D) morphology of a complex goaf and its relative displacement in space is a precondition to further analyzing the stability of the cavity. In this study, to make an accurate stability analysis of the goaf, laser detection and numerical simulation are used to study the interior space form of goaf and the change characteristics of stress and displacement in goaf. The results of the study show that the BLSS-PE mining 3D laser system as a field detection tool can detect the morphology of the cavity more comprehensively and improve the accuracy of the detection data to a certain extent. Combined with the numerical simulation software analysis, it can be seen that the maximum principal stress in the 818-2# goaf increases after excavation. In addition, the maximum value appears in the top and bottom plates of the goaf, and the minimum stress remains nearly unchanged. The tensile stress appears in the upper and lower plates but is lower than the surrounding rock. The maximum horizontal and vertical displacements of the 818-2# goaf are small. The plastic zone appears in the surrounding rock of the goaf as the mining work progresses, but the area is small. It is concluded that the goaf is relatively stable overall. The research results may provide a strong reference for ground pressure management in mines and comprehensive control of goaves.

Zastosowanie sieci komórkowych w procesie segmentacji danych pochodzących z dalmierza laserowego 3D

Siemiątkowska B., Gnatowski M., Chojecki R.

Prace Naukowe Politechniki Warszawskiej. Elektronika

2008

z. 166, t. 1

121-130

W poniższym artykule przedstawiono metodę budowy map otoczenia robota mobilnego wyposażonego w skaner laserowy 3D. Zastosowano hybrydową - rastrowo-obiektową metodę reprezentacji otoczenia. Przyjęto, ze każda z komórek przechowuje listę obiektów, które w danej komórce występują W opisywanym algorytmie rozpoznawane są fragmenty ścian, naroża oraz krawędzie. W dalszej części prac planujemy rozszerzenie listy obiektów.

In this paper, we consider the problem of 3D maps building based on the laser 3D. The map of the environment is represented as a 2D array. Each cell represents rectangular region of the scene and consists of a list of objects. The main advantages of the system are real-time map building, low memory consumption and accuracy. We prove that the system works properly in real indoor environment but it can be extended in order to built the map of unstructured environment.