DocumentCode :
2465000
Title :
Study on visual classification for protected objects under mining influence
Author :
Cai, Yinfei ; Dai, Huayang ; Liu, Yixin
Author_Institution :
Coll. of Geosci. & Surveying Eng., China Univ. of Min. & Technol. (Beijing), Beijing, China
fYear :
2011
fDate :
24-26 June 2011
Firstpage :
5428
Lastpage :
5431
Abstract :
The prediction system of damage grade can direct the works of identification of mining damage, environmental protection and land reclamation, etc. It is helpful to realize the sustainable development of mining areas. This system is based on the grid data of mining subsidence prediction, comprehensive analyze different combinations of the value of ground movement and deformation, realize the visual classification and quantitative analysis of different kinds of protected objects. Illustrated by the example of damage prediction of building with brick-concrete structure, introduce the theory and using method of this system, and calculate the size of damage areas of predicted ranges and surface features´ ranges. The research method and prediction system provide a new way and new tool for mining design and identification of mining damage.
Keywords :
brick; concrete; maintenance engineering; mining; pattern classification; structural engineering computing; sustainable development; vibrations; brick-concrete structure; damage grade prediction system; deformation; environmental protection; grid data; ground movement; land reclamation; mining damage; mining design; mining subsidence prediction; protected objects; quantitative analysis; sustainable development; visual classification; Buildings; Coal; Coal industry; Coal mining; Data mining; Presses; Visualization; ground movement and deformation; protected objects; quantitative analysis; the prediction system of damage grade; visual classification;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Remote Sensing, Environment and Transportation Engineering (RSETE), 2011 International Conference on
Conference_Location :
Nanjing
Print_ISBN :
978-1-4244-9172-8
Type :
conf
DOI :
10.1109/RSETE.2011.5965542
Filename :
5965542
Link To Document :
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