DocumentCode
1888885
Title
Intelligent Decision and Application Technology Research of Tunnel Blasting Scheme
Author
Yue, Zhongwen ; Ma, Xinming
Author_Institution
Sch. of Mech. & Civil Eng., China Univ. of Min. & Technol., Beijing, Beijing, China
fYear
2010
fDate
25-26 Dec. 2010
Firstpage
1
Lastpage
4
Abstract
Blasting in coal mines decision-making implicates engineering geology, tunnel type, gas preservation, mining conditions and rock mechanics. It is difficult to determine the design parameters of blasting and evaluate blasting effect. To solve these problems, the expert system of tunnel blasting was developed by combining the latest artificial intelligence technology with the expert knowledge in the field of blasting, combining practical experience and theoretical results, and using rule-based and case-based reasoning strategies. An abundant blasting expert knowledge base was established based on academic monograph, industry standard, project cases, theoretical achievements. And an intelligent system inference engine was built based on VC. With intelligent design of blasting, optimized decision and three-view automatic drawing, this expert system has achieved good results in practice engineering application.
Keywords
case-based reasoning; coal; distributed decision making; expert systems; explosions; mining industry; rocks; tunnels; academic monograph; artificial intelligence; automatic drawing; blasting effect; case-based reasoning; coal mine; decision making; expert system; gas preservation; inference engine; intelligent decision; intelligent design; intelligent system; rock mechanics; rule-based reasoning; tunnel blasting scheme; Cognition; Expert systems; Explosives; Fuel processing industries; Knowledge engineering;
fLanguage
English
Publisher
ieee
Conference_Titel
Information Engineering and Computer Science (ICIECS), 2010 2nd International Conference on
Conference_Location
Wuhan
ISSN
2156-7379
Print_ISBN
978-1-4244-7939-9
Electronic_ISBN
2156-7379
Type
conf
DOI
10.1109/ICIECS.2010.5677815
Filename
5677815
Link To Document