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Integrated three-dimensional visualization and soft-sensing system for underground paste backfilling
Highlights Based on three-dimensional scanning techniques and computing techniques, a novel pipeline is introduced to estimate the information of backfilling progress in real time. Based on Monte Carlo sampling, this paper proposes a practicable method for computing the volume of points cloud slice in a goaf, even if the shape of the goaf is irregular and the points are vacant. An integrated three-dimensional visualization system based on Browser/Server architecture is implemented, which provides a 3D visualization platform with real-time soft-sensing for the backfilling progress information.
Abstract Cemented paste backfilling (CPB) has attracted worldwide attention because of its advantages in the processing of waste tailings and underground goafs. A problem of the underground CPB procedure that has received little attention is the shortage of devices or techniques for monitoring the real-time backfilling process accurately due to the harsh underground environment. Imprecise information of the backfilling progress will mislead the operators to make improper decisions, such as not pausing the transport system promptly or tuning the ratio of cement to tailings incorrectly. This study proposes a 3D visualization and soft-sensing system for the cemented paste backfilling process. By employing a GeoSLAM ZEB-HORIZON laser scanner to scan the 3D model of the underground goaf, the system estimates the backfilling height in real-time according to the accumulated volume of filled paste and simulates the backfilling of the underground goaf on web pages. In a real Copper Mine, we examined the developed system and soft-sensing technique in goafs and found that the relative error of estimated backfilling height is under 10%, which is acceptable in real production. The results indicate that the developed backfilling visualization and the soft-sensing techniques provide significant guidance for production management in underground backfilling.
Integrated three-dimensional visualization and soft-sensing system for underground paste backfilling
Highlights Based on three-dimensional scanning techniques and computing techniques, a novel pipeline is introduced to estimate the information of backfilling progress in real time. Based on Monte Carlo sampling, this paper proposes a practicable method for computing the volume of points cloud slice in a goaf, even if the shape of the goaf is irregular and the points are vacant. An integrated three-dimensional visualization system based on Browser/Server architecture is implemented, which provides a 3D visualization platform with real-time soft-sensing for the backfilling progress information.
Abstract Cemented paste backfilling (CPB) has attracted worldwide attention because of its advantages in the processing of waste tailings and underground goafs. A problem of the underground CPB procedure that has received little attention is the shortage of devices or techniques for monitoring the real-time backfilling process accurately due to the harsh underground environment. Imprecise information of the backfilling progress will mislead the operators to make improper decisions, such as not pausing the transport system promptly or tuning the ratio of cement to tailings incorrectly. This study proposes a 3D visualization and soft-sensing system for the cemented paste backfilling process. By employing a GeoSLAM ZEB-HORIZON laser scanner to scan the 3D model of the underground goaf, the system estimates the backfilling height in real-time according to the accumulated volume of filled paste and simulates the backfilling of the underground goaf on web pages. In a real Copper Mine, we examined the developed system and soft-sensing technique in goafs and found that the relative error of estimated backfilling height is under 10%, which is acceptable in real production. The results indicate that the developed backfilling visualization and the soft-sensing techniques provide significant guidance for production management in underground backfilling.
Integrated three-dimensional visualization and soft-sensing system for underground paste backfilling
Yuan, Zhaolin (author) / Ban, Xiaojuan (author) / Han, Fangyuan (author) / Zhang, Xingquan (author) / Yin, Shenghua (author) / Wang, Yiming (author)
2022-05-20
Article (Journal)
Electronic Resource
English
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