Title :
The irrigation system treatment of subsidence area in Panji
Author :
Wang Lie-ping ; Yan Jia-ping ; Xu Liang-ji ; Shen Si-liang
Author_Institution :
Sch. of Earth & Environ. Eng., Anhui Univ. of Sci. & Technol., Huainan, China
Abstract :
The treatment model of irrigation system in coal mining subsided area has been discussed in the paper. According to investigation information that including the distribution of mining working face and irrigation systems, and the existing status of irrigation system in subsidence area, theory of Mining Subsidence, Neural Network, technology of C programming language, CAD and spatial analysis were used to study the surface subsidence situation and dynamic subsidence prediction in the future, the dynamic three-dimension digital model of surface water system in subsidence was established to predict surface subsidence area and the area of farmland that need to rebuild irrigation system. The dynamic subsidence trend and the subsided value of the irrigation buildings have been predicted. At last the methods of repair or strengthen hydrocele irrigation, retreat embankment and reroute road, abandon, build a new irrigation building in the same destroyed place were suggested in the paper. The hopfield neural network method were used to calculate and choice the best treatment method by program. The result shows that the irrigation system treatment method in subsidence area was feasible in technology and reasonable in economy.
Keywords :
CAD; coal; geophysics computing; geotechnical engineering; irrigation; minimisation; mining; neural nets; C programming language; CAD; Panji subsidence area; coal mining subsided area; dynamic subsidence prediction; dynamic three-dimension digital model; embankment; farmland; hydrocele irrigation; irrigation buildings; irrigation system treatment; irrigation systems; mining working face; neural network; spatial analysis; surface water system; Buildings; Coal industry; Hopfield neural networks; Irrigation; Performance analysis; Presses; Solid modeling; Hopfield neural network; Irrigation; Subsidence Area; Treatment; Water system;
Conference_Titel :
Electric Technology and Civil Engineering (ICETCE), 2011 International Conference on
Conference_Location :
Lushan
Print_ISBN :
978-1-4577-0289-1
DOI :
10.1109/ICETCE.2011.5776385