NDLI: The Integrated Intelligence Decision of Underground Metal Mine Stope Structure and Grade Indices

Content Provider	IEEE Xplore Digital Library
Author	Annan Jiang Chunan Tang Zhengzhao Liang Yuefeng Yang
Copyright Year	2008
Description	Author affiliation: Traffic & Logistics Coll., Dalian Maritime Univ., Dalian (Annan Jiang)
Abstract	The stope structure parameters and grade indices of underground metal mine are concerned to the safety, economy and sociality of the whole mine. The conventional methods to ascertain above parameters are generally according to experience and analogy, which has artificial blindness. Metal mine exploitation is a complex system engineering, the whole mine system includes many subsystems, and some of them has complex nonlinear characteristics. The paper utilizes sublevel caving simulation system and RFPA numerical program to respectively analyze the recovery index and the surrounding rock stability. The ANN model also is used to fitting the nonlinear subsystems such as concentration ratio model because of its self-learning ability, considering multi-objects including economic efficiency amount of metal and cash flow, proposes the grade indices optimization method. Combining above means, based on database, model base, knowledge base and inference machine, constructs intelligent decision support system. Using the system to appraise the stope structure parameters and optimize the grade indices of Jinshandian Ore Mine of Wuhan City of Hubei Province. It states the method of the paper is feasible, and the analysis results have guiding mean to the ore mine.
Starting Page	1
Ending Page	5
File Size	559842
Page Count	5
File Format	PDF
ISBN	9781424421077
DOI	10.1109/WiCom.2008.2734
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2008-10-12
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Analytical models Databases Ores Optimization methods Blindness Systems engineering and theory Stability analysis Safety Intelligent structures Artificial intelligence
Content Type	Text
Resource Type	Article

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