Expert system for steel plant accident processing

Author

He, Dongfeng ; Huang, Bangfu

Author_Institution

School of Metallurgical and Ecological Engineering, University of Science and Technology Beijing, China

fYear

2010

fDate

4-6 Dec. 2010

Firstpage

5838

Lastpage

5841

Abstract

In order to improve the efficiency of accident processing in steel plants, the expert system for steel plant accident processing (ESSPAP) was established. In ESSPAP, knowledge was acquired from experts in manufacturing management, production operators, anticipation plan manuals, and logistics control models. The knowledge was represented by semantic network. Moreover, the nodes in the semantic network were expanded into two-dimensional and three-dimensional frames. Accident anticipation plans were represented by production rule. Reasoning strategies and search strategies were used to knowledge reasoning. Two evaluating indicators (coverage rate and accuracy rate) were put forward to assess ESSPAP. According to the simulation results, ESSPAP has higher response speed (≤10 s) and accuracy rate (93%) than steel production management experts. ESSPAP can improve the efficiency of accident processing and reduce losses caused by accidents.

Keywords

Accidents; Cognition; Expert systems; Production management; Semantics; Steel; accident anticipatio plan; expert system; framework; rule; semantic network;

fLanguage

English

Publisher

ieee

Conference_Titel

Information Science and Engineering (ICISE), 2010 2nd International Conference on

Conference_Location

Hangzhou, China

Print_ISBN

978-1-4244-7616-9

Type

conf

DOI

10.1109/ICISE.2010.5691919

Filename

5691919