Open AccessExtension Intelligence for Process Manufacturing
Author(s) -
Xingsen Li,
Hengfa Guo,
Siyuan Chen
Publication year - 2020
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1605/1/012046
Subject(s) - extension (predicate logic) , computer science , process (computing) , transformation (genetics) , big data , extension method , quality (philosophy) , path (computing) , the internet , artificial intelligence , industrial engineering , data mining , engineering , world wide web , biochemistry , chemistry , philosophy , epistemology , programming language , operating system , gene
Artificial Intelligence (AI) is supporting much innovation in intelligent manufacturing in the ubiquitous network information environment, while there are still many problems such as production quality vs costs to produce, and new intelligent theory and method is needed. Based on Extenics, we put forward the concept of Extension Intelligence and analyse the characteristics of extension intelligence, then present its implementation path and steps for the application. Multi-dimensional information and knowledge will be extended from the industrial big data of manufacturing system and the Internet to build the basic-element model in order to deal with engineering problems by extension and transformation algorithms. The application proves the validity of Extension Intelligence.