RETRACTED: Image Recognition about Stability of Soft Surrounding Rock in Tunnel Based on ILBP Algorithm (Retracted Article)

被引:0
|
作者
Lang, Zhijun [1 ]
Gao, Xinqiang [2 ,3 ,4 ]
Jia, Yibin [1 ]
Dong, Beiyi [2 ,4 ]
Ma, Zecheng [2 ,4 ]
Ren, Daoyuan [2 ,4 ]
Mojtahe, Kaza [5 ]
机构
[1] China Construct Seventh Engn Div Corp Ltd, Zhengzhou 450016, Henan, Peoples R China
[2] Shijiazhuang Tiedao Univ, State Key Lab Mech Behav & Syst Safety Traff Engn, Shijiazhuang 050043, Hebei, Peoples R China
[3] Hebei Prov Tech Innovat Ctr Safe & Effect Min Met, Shijiazhuang 050043, Hebei, Peoples R China
[4] Shijiazhuang Tiedao Univ, Sch Civil Engn, Shijiazhuang 050043, Hebei, Peoples R China
[5] Kyrgyz Turkish Manas Univ, Dept Comp Engn, Bishkek, Kyrgyzstan
关键词
Railroad tunnels - Railroads - Rocks;
D O I
10.1155/2022/8775881
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
With China's fast expansion of urban traffic and railway engineering, a great number of subway and railway lines have been erected in subterranean tunnels in recent years. When the tunnel is in the process of construction, it will encounter the weak fracture zone, and the surrounding rock of this part of the tunnel is often poor stability and deformation is difficult to control, which will lead to the smooth progress of the project, delay and other problems. Therefore, to facilitate the timely treatment of tunnel soft surrounding rock, the study of image recognition of its stability is particularly important. Based on this, an improved local binary mode algorithm (ILBP) is proposed in this paper. By adjusting the weight of binary polynomial in local binary mode (LBP) operator, the target of ILBP is to extract the characteristics of weak surrounding rock of tunnel at a specific location, hoping to provide reference for the follow-up study of tunnel engineering.
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页数:9
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