China University of Mining and Technology

Beijing Ivy Technology Co. Ltd.

Suping Peng

Jingtao Zhao

Wenfeng Du

Xiaoqin Cui

Xianlei Xu

Tao Sun

Peng Lin

Feng Yang

Pan Wang

Ce Li

Qin Han

Yinli Bi

Zheng Ma

Xiaoting Li

Biao Guo

Feisheng Feng

Pingjie Fu

A monocular video-based three-dimensional reconstruction and depth prediction method and system for a pipeline are provided, relating to the technical field of deep learning and image processing. The method includes the following steps: performing feature extraction and matching and incremental reconstruction on collected image sequences of different pipeline scenes based on the COLMAP method to obtain a camera external parameter matrix corresponding to each image, and constructing a pipeline three-dimensional reconstruction dataset; training the Fast-MVSNet network and the PatchMatchNet network using the existing public datasets, and selecting an optimal network model from multiple trained network models for three-dimensional reconstruction and depth prediction of an actual pipeline scene. A holistic framework from a monocular video to a three-dimensional scene is constructed, which can effectively achieve three-dimensional reconstruction and depth prediction of a drainage pipeline and intuitively display internal structure information of the pipeline.

Monocular video-based three-dimensional reconstruction and depth prediction method and system for pipeline

The present disclosure provides a small-scale geological anomalous body detection method and device, and relates to the field of small-scale geological anomalous body detection. The method comprises: acquiring diffracted wave shot-gather data collected in a to-be-processed area and determining target single shot data having a distance to the center point, which is a predetermined distance; calculating a first horizontal distance between each shot point in the target single shot data and the center point and calculating a second horizontal distance between the detection point corresponding to each shot point and the center point; constructing a common-diffraction-point gather based on the first horizontal distances and the second horizontal distances; and processing the common-diffraction-point gather by using a correction algorithm of diffracted wave events to obtain a diffracted wave imaging profile.

Small-scale geological anomalous body detection method and device

An ecological reconstructed sponge structure of a strip mine dump includes a three-layered sponge ecological structure arranged on a groundmass layer of the dump. From bottom to top, the three-layer sponge ecological structure comprises a water-resisting layer, a water-containing layer and a topsoil ecological layer. A thickness of the water-resisting layer is 100˜200 cm, a permeability coefficient of the water-resisting layer is 0.35˜0.7 m/d, and a degree of compaction is 1200˜1400 KPa. A thickness of the water-containing layer is 150˜250 cm, a permeability coefficient of the water-containing layer is 10˜20 m/d, and a degree of compaction is 800˜900 KPa. A thickness of the topsoil ecological layer is 40˜60 cm. Soil layer thicknesses and water content may be monitored through a ground penetrating radar.

Ecological reconstructed sponge structure of strip mine dump and application of the same

The present disclosure provides a diffracted wave imaging method, device and electronic apparatus. The method comprises: acquiring pre-stack seismic wave field data of a to-be-processed area; extracting target data of a target imaging point; fitting target time sample points in the target data based on the Gaussian model and solving the fitting function to determine a distribution range of the stationary point position signal of the reflected wave in the target data; determining migration imaging data of the target imaging point based on the target data and the distribution range; and determining a diffracted wave imaging result of the to-be-processed area based on the migration imaging data of all the imaging points in the to-be-processed area.

Diffracted wave imaging method, device and electronic apparatus

An intelligent detection and recognition system and method for a coal-rock interface of a mine are provided. The intelligent detection and recognition system mainly includes an intelligent lifting support fastened to the top of a shearer, a non-contact radar antenna disposed at the top of the intelligent lifting support, and an operating terminal with which the radar antenna wirelessly conducts information transmission. In an operating state, a radiation direction of the radar antenna is perpendicular to the surface of a to-be-detected coal seam, and the operating terminal is configured to acquire radar data of the to-be-detected coal seam collected by the radar antenna, and draw and display a coal-rock horizon occurrence curve according to the radar data.

Intelligent detection and recognition system and method for coal-rock interface of mine

A coal collapse column identification method and related apparatus that includes acquiring seismic shot gather data in a target region and a seismic wave migration velocity file; calculating a diffraction wave travel time of each piece of single-shot data at different imaging points according to the data; performing Mahalanobis distance calculation processing on each single-shot data and the diffraction wave travel time thereof to acquire a diffraction wave amplitude value sample point of each piece of single-shot data; imaging respectively on a diffraction wave of each piece of single-shot data; and superposing imaging processing results of all the single-shot data corresponding to the seismic shot gather data to obtain a diffraction wave imaging result of the seismic shot gather data so as to facilitate coal collapse column identification according to the diffraction wave imaging result. A diffraction wave corresponding to seismic shot gather data is extracted through a Mahalanobis distance.

Method and apparatus for identifying collapsed coal column

A method and a device for detecting a discontinuous body with ground penetrating radar, comprising acquiring a ground penetrating radar signal of a predefined underground space, where the ground penetrating radar signal carries discontinuous information about an electrical parameter of the underground space; determining, from multiple preset dip angles, a target dip angle of the ground penetrating radar signal with respect to each of multiple channels to be scanned, by a target scanning algorithm; separating the ground penetrating radar signal according to the target dip angle, to obtain a scattered wave; performing velocity continuation analysis on the scattered wave, to obtain a focusing velocity of the scattered wave; and imaging the scattered wave according to the scattered wave and the focusing velocity, to obtain an imaging result, where the imaging result is used to determine distribution information of the discontinuous body in the predefined underground space.

Method and device for detecting discontinuous body with ground penetrating radar

The present disclosure discloses a fracture AVO inversion method for a fractured medium, wherein, said method includes: acquiring seismic data from the fractured medium; obtaining a reflection coefficient of the fractured medium, by an AVO inversion for the seismic data based on a newly-built equation. The present disclosure also provides a fracture AVO inversion apparatus and device for a fractured medium. The present invention can flexibly and accurately obtain properties of a fractured medium with impedance contrast (rock properties of the host media plus properties of thee fracture).

Method, apparatus and device of fracture AVO inversion for fractured medium

The invention discloses a real-time water-level monitoring system for a dumping site of an open-pit coal mine. The dumping site of the open-pit coal mine comprises an aboveground part and an underground part, where the aboveground part is a stacking site () located above an original ground surface. The real-time water-level monitoring system for a dumping site of an open-pit coal mine comprises a first measuring well () and a second measuring well (), where the first measuring well () is arranged vertically in the center of the stacking site (), and the second measuring well () includes a vertical section (), a horizontal section (), and a free section () connected in sequence; and a first water-impermeable layer (), a second water-impermeable layer (), and a third water-impermeable layer () are provided internally in the stacking site ().

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Beijing, China

Suping Peng