AI Techniques To Improve Management Information For Monitoring Systems

Society for Mining, Metallurgy & Exploration
R. H. King
Organization:
Society for Mining, Metallurgy & Exploration
Pages:
9
File Size:
644 KB
Publication Date:
Jan 1, 1989

Abstract

Mine managers need better information to locate new opportunities and then to assess the effect of their decisions. We are developing the Intelligent Decision Support System (IDSS) and its two major modules, the Pattern Recognition System (PRS) and the Knowledge Representation Subsystem (KRS) to automatically provide the information from monitoring system sensors. So far, we have developed and reported on algorithms that automatically produce accurate time-study reports of continuous miner data from kilowatt sensors at the Deserado Mine, and we are extending the system to accept other types of sensor data input. This paper focuses on AI techniques that improve accuracy of the numerical algorithms in the PRS module. Additional AI work for the KRS module is summarized in this paper.
Citation

APA: R. H. King  (1989)  AI Techniques To Improve Management Information For Monitoring Systems

MLA: R. H. King AI Techniques To Improve Management Information For Monitoring Systems. Society for Mining, Metallurgy & Exploration, 1989.

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