Artificial intelligence methods in process plant layout | Zendy

Andrew McBrien | Zendy; Judith C. Madden | Zendy; N. R. Shadbolt | Zendy

AI Assistant Blog Pricing

Home ZAIA Blog

Open Access

Artificial intelligence methods in process plant layout

Author(s) -

Andrew McBrien,

Judith C. Madden,

N. R. Shadbolt

Publication year - 1989

Publication title -

upt. syiah kuala university library (syiah kuala university)

Language(s) - English

Resource type - Conference proceedings

ISBN - 0-89791-320-5

DOI - 10.1145/66617.66662

Subject(s) - process (computing) , computer science , process plant , constraint (computer aided design) , artificial intelligence , machine learning , data mining , industrial engineering , engineering , programming language , mechanical engineering

A constraint-based system, PLS, capable of deriving a technically acceptable three-dimensional layout for a chemical process plant of typical complexity is described. In the application of PLS to an exemplar plant, over five hundred instances of constraints were identified and manipulated.PLS has been implemented in a frame system created in-house. This features recursively structured frames to represent both the initial plant data and the intermediates derived by the system. Reasoning is conducted by applying rules in which the pattern and action are represented as complex frames.A particular feature of PLS is its powerful problem reduction abstraction. A nested hierarchy of groups is formed by PLS. The groups are formed for sound engineering reasons and reflect the underlying experience of layout engineers.

The content you want is available to Zendy users.

Already have an account? Click here to sign in.

Having issues? You can contact us here

Accelerating Research