Reasoning and fuzzy comprehensive assessment methods based CAD system for boiler intelligent design

Boilers are key industrial equipment in the field of modern manufacturing. In this study, rule-based reasoning (RBR) and case-based reasoning (CBR) are applied into the boiler intelligent design. RBR is adopted to perform like a “sieve” for the acquisition of candidate structure modules. Then, fuzzy comprehensive assessment method is used to select an optimal structure module among the candidates. The optimal structure module is subjected to the CBR process, which includes modification and case retention. It is a minor adjustment process that needs a great amount of prior knowledge. The case retention process gives the system a self-enrich function, which will improve the design ability of the system with continuous use of the system. A case study is presented to validate the correctness and efficiency of proposed method.