期刊名称：Lecture Notes in Engineering and Computer Science
印刷版ISSN：2078-0958
电子版ISSN：2078-0966
出版年度：2018
卷号：2231&2232
页码：394-397
出版社：Newswood and International Association of Engineers
摘要：Although there are many design processes and
design methodology progresses in automotive design in the last
few decades by using computer technology such as CAD, CAE,
PDM, PLM and etc., one the real gaps between customers and
the vehicle designers still exists. That is, the vehicle OEMs still
don't know what exactly customers want and feel about their
products in real time and how to meet those demands. We used
tools like VOC, QFD, CRM, marketing research, dealer visiting,
warranty database, but all these tools and data lack of real time,
data infidelity, small sampling pool and high cost. In this paper,
we present a technology that help on closing the gap by using the
Internet+ technology or the big data analysis technology.
Specially, we utilized and advanced the big data analysis
technology to help the engineers on vehicle system design rather
than a high level public sentiment assessment. The process and
the computer system we developed are also described.
关键词：Automotive; Data acquisition; Data analysis;
Text mining; Information extraction
