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Title: Optimization of coal product structure in coal plant design expert system and its computer programming implementation

Abstract

The optimization of coal product structure is a main task in coal preparation flowsheet design. The paper thoroughly studies the scheme of coal product structure optimization in coal plant design expert system. By comparing three fitted mathematical models of raw coal washability curve and six models of distribution curve, which simulates gravity coal separation, the optimum ones are obtained. Based on the models, applying coal product profit as an objective function and utilizing method of generalized Lagrange operators to conditionally restrain yield and ash content of coal product, the optimum flowsheet for coal preparation has been finally achieved by the way of Zangwill method, which optimizes coal product structure. It provides an efficient theoretical basis for defining technical plan in coal preparation plant designing. The paper also studies the computer programming development and implementation of coal product structure optimization, applying object oriented programming method, in coal plant design expert system. The overall structure of coal plant design expert system, knowledge expressing mechanism, explaining and reasoning mechanism, as well as knowledge learning mechanism are mentioned in this paper.

Authors:
; ; ;
Publication Date:
Research Org.:
China Univ. of Mining and Technology, Jiangsu (CN)
OSTI Identifier:
20082334
Resource Type:
Conference
Resource Relation:
Conference: Sixteenth Annual International Pittsburgh Coal Conference, Pittsburgh, PA (US), 10/11/1999--10/15/1999; Other Information: 1 CD-ROM. Operating systems required: Windows 95/98; Windows 3.X, Macintosh; PBD: 1999; Related Information: In: Sixteenth annual international Pittsburgh Coal Conference: Proceedings, [2000] pages.
Country of Publication:
United States
Language:
English
Subject:
01 COAL, LIGNITE, AND PEAT; COAL PREPARATION PLANTS; COMPUTER-AIDED DESIGN; EXPERT SYSTEMS; COAL; ASH CONTENT; DEASHING; MATHEMATICAL MODELS; FLOWSHEETS

Citation Formats

Yaqun, H, Shan, L, Yali, K, and Maixi, L. Optimization of coal product structure in coal plant design expert system and its computer programming implementation. United States: N. p., 1999. Web.
Yaqun, H, Shan, L, Yali, K, & Maixi, L. Optimization of coal product structure in coal plant design expert system and its computer programming implementation. United States.
Yaqun, H, Shan, L, Yali, K, and Maixi, L. 1999. "Optimization of coal product structure in coal plant design expert system and its computer programming implementation". United States.
@article{osti_20082334,
title = {Optimization of coal product structure in coal plant design expert system and its computer programming implementation},
author = {Yaqun, H and Shan, L and Yali, K and Maixi, L},
abstractNote = {The optimization of coal product structure is a main task in coal preparation flowsheet design. The paper thoroughly studies the scheme of coal product structure optimization in coal plant design expert system. By comparing three fitted mathematical models of raw coal washability curve and six models of distribution curve, which simulates gravity coal separation, the optimum ones are obtained. Based on the models, applying coal product profit as an objective function and utilizing method of generalized Lagrange operators to conditionally restrain yield and ash content of coal product, the optimum flowsheet for coal preparation has been finally achieved by the way of Zangwill method, which optimizes coal product structure. It provides an efficient theoretical basis for defining technical plan in coal preparation plant designing. The paper also studies the computer programming development and implementation of coal product structure optimization, applying object oriented programming method, in coal plant design expert system. The overall structure of coal plant design expert system, knowledge expressing mechanism, explaining and reasoning mechanism, as well as knowledge learning mechanism are mentioned in this paper.},
doi = {},
url = {https://www.osti.gov/biblio/20082334}, journal = {},
number = ,
volume = ,
place = {United States},
year = {Thu Jul 01 00:00:00 EDT 1999},
month = {Thu Jul 01 00:00:00 EDT 1999}
}

Conference:
Other availability
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