| 摘要: |
| 目的 大数据中蓄含着来自互联网活动及各式传感器等不断产生的无限量级别的数据资源。与此同时， 产品设计前期调研过程需要大量的调研数据以作为产品后续设计的参考依据， 因此这里着重论述其应用的可操作性及调研过程的框架。方法 大数据具有无限性缺陷， 而现有设计调研数据具有有限性缺陷， 这里探讨一种新的结合方式， 即将巨量的数据资源和现有调研中的思维方式相结合形成基于大数据的产品设计调研框架。结论 通过论述大数据在产品设计调研阶段中的过程框架， 论证大数据在设计调研中的应用可操作性， 进而可将大数据中蕴含的巨大信息分析挖掘出来应用于设计中。 |
| 关键词: 大数据 产品设计调研 无限性缺陷 有限性缺陷 |
| DOI： |
| 分类号:TB472 |
| 基金项目: |
|
| Application of Big Data in Product Design Research |
|
REN Ying-li, FAN Qiang
|
|
Yanshan University，Qinhuangdao 066004，China
|
| Abstract: |
| Big data contains infinite level data resource from Internet activities and all kinds of sensor. Furthermore， the early product design research process requires a lot of data as a reference for subsequent design. Therefore， it focuses on discussing the operationalization of big data and it′s framework research process. Big data has infinite defect， meanwhile， the existing design research data has finite defect， so it discusses a complementary research method using a combination of both. And that forms a product design research framework based on big data， with the combination of big data resources and the way of thinking of the existing research. It demonstrates the application of big data in the design research operability， through the discussion of framework of big data in product research. And then， it applies the huge mining information from big data in design. |
| Key words: big data product design research infinite defect finite defects |
渝公网安备 50010702501716号