A Method of Initiative Recommending Potential Options in Industrial Design

Abstract

Pattern represents affairs and knowledge intensively, which is mined from big data of the behavior of human and machines. In industrial design field, large amounts of data is produced in form of design activities, product model and structured knowledge. How to take full advantage of industrial data is the current research focus. This paper introduces a method of initiative recommending potential options embedded in CAD platform, which can recommend potential options or following operating actions to designers by gathering and analyzing design procedures. A primitive experiment is performed on NX platform that can achieve simple recommendation.