Abstract

The knowledge-based organization for the West Virginia University Face Decision Support System is given, along with the initial development of the associated inference engine. The knowledge base contains generic knowledge about underground coal mines that utilize continuous miners. A typical knowledge entry is given, and the inference engine methodology is explained. The engine utilizes this knowledge with data from monitoring systems and from interaction with the section foreman, to assist in making section management decisions and plans.

Meeting Name

39th IAS Annual Meeting of the IEEE Industry Applications Conference, 2004

Department(s)

Mining and Nuclear Engineering

Keywords and Phrases

USA; Coal; Decision Support System; Decision Support Systems; Development; Inference Engine; Knowledge Based Systems; Knowledge-Based Organization; Management; Mining; Underground Coal Mines

International Standard Serial Number (ISSN)

0093-9994

Document Type

Article - Journal

Document Version

Final Version

File Type

text

Language(s)

English

Rights

© 1988 Institute of Electrical and Electronics Engineers (IEEE), All rights reserved.

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