arrow
返回

Integrated three-dimensional visualization and soft-sensing system for underground paste backfilling

delete2022-09-01
delete8
PRE
AI
袁兆麟 封面图
袁兆麟 (Zhaolin Yuan)
班
班晓娟 (Xiaojuan Ban) *
F
Fangyuan Han
X
Xingquan Zhang
尹
尹升华 (Shenghua Yin)
Y
Yiming Wang
DOI:10.1016/j.tust.2022.104578delete
delete原文链接
delete原文求助
delete分享
delete收藏
摘要

摘要

En 中文
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.
Keyword:
goaf
Soft-sensing
3D visualization system
Laser scanning
Volume calculation

期刊

Tunnelling and Underground Space Technology 封面图
Tunnelling and Underground Space Technology
IF:
7.4
论文数:
7.1K
被引数:
3.5W

机构

C
chinese academy of sciences
学者数:
56.7W
论文数: 45.0W
被引数: 704
引用论文

引用论文

err
IF0
err
err0
PREAI
err
err分享
err收藏
err分享
err收藏
err分享
err收藏
err分享
err收藏
Optimization of flocculation and settling parameters of tailings slurry by response surface methodology
err2020-09-01
err69
PREAI
errWu, Aixiang; Ruan, Zhuen; Burger, Raimund; Yin, Shenghua; Wang, Jiandong; Wang, Yong
err分享
err收藏
学者 查看更多内容