By Topic

Model-based automatic programming for plant control

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$33 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

4 Author(s)
Y. Nakayama ; Toshiba Corp., Kawasaki, Japan ; H. Mizutani ; K. Sadashige ; T. Matsudaira

A model-based automatic programming system for sequence control is described. The domain knowledge of the application area is discussed and an environment model that represents concepts of the domain-physical entities, actions and states, relations and conditions-in an extended semantic network is proposed. The system also has model-derivation methods. Because it uses a generic model to generate a specific description of the target plant, the system can be applied to the control of any plant of the same type. The model-based approach supports every task in the software life-cycle. As a result, it enables designers to specify control programs using natural terms and concepts. The system was evaluated by generating practical control programs for steel plants. It doubled design productivity while still producing programs that were satisfactory to design experts. These results suggest that at a primary goal of automatic programming research should be the development of models of the domain area

Published in:

Artificial Intelligence Applications, 1990., Sixth Conference on

Date of Conference:

5-9 May 1990