skip to main content
OSTI.GOV title logo U.S. Department of Energy
Office of Scientific and Technical Information

Title: Using PC-based shells to write an expert assistance for use with the ASPEN (Advanced System for Process ENgineering) computer code

Conference ·
OSTI ID:6331717

Many engineers argue against using expert systems to solve problems because of the relatively high cost of specialized LISP machines and the large expert system shells written for them. This paper demonstrates how small, but useful, expert systems can be written with inexpensive shells and run on inexpensive personal computers (PCs). Two such shells are CLIPS and EXSHELL. CLIPS, developed by NASA, is a forward-chaining, rule-based system. It is written in the C language, but the rules are entered in a LISP-like format. EXSHELL, developed by the Computer Science Department at the University of New Mexico, is a backward-chaining, rule-based system written in PROLOG. Each of these shells was used to write an expert assistant to aid the design engineer in using the ASPEN (Advanced System for Process ENgineering) computer code. ASPEN is a large computer code used to design chemical plants and refineries. Among other things, ASPEN computes mass and energy balances for the plant design. Unfortunately, an expert, or several experts, are required to use ASPEN to its full potential. For example, choosing the proper thermodynamic package to represent a given process is important in developing the correct mass and energy balances. An ASPEN user may be an expert in plant design, yet may not be expert enough at thermodynamics to pick the proper package from the many offered by ASPEN. CLIPS and EXSHELL were used to develop a useful expert assistant to help process plant designers pick the proper thermodynamic package to be used with particular operating conditions at various points in the ASPEN plant simulation. This paper also demonstrates the utility and ease of use of these inexpensive shells and compares the approach used by each. 11 refs., 12 figs.

Research Organization:
Los Alamos National Lab. (LANL), Los Alamos, NM (United States)
DOE Contract Number:
W-7405-ENG-36
OSTI ID:
6331717
Report Number(s):
LA-UR-89-833; CONF-8904136-1; ON: DE89009396
Resource Relation:
Conference: Applications of artificial intelligence in chemical engineering, Houston, TX, USA, 2 Apr 1989; Other Information: Portions of this document are illegible in microfiche products
Country of Publication:
United States
Language:
English