大数据技术下面向成本设计的改进

DFC Improvements with Big Data Technology

大数据技术的高速发展已经对各行各业产生了近乎颠覆式的影响,将大数据技术引入面向成本设计中迫在眉睫。对目前DFC技术进行了简要分析,认为DFC技术在数据采集与储存数据挖掘与分析、数据安全等方面存在缺陷,指出了大数据环境下DFC技术在数据采集及储存、成本估算、虚拟现实技术、移动终端设计四个方面的改进之处,并从技术环境、企业管理层及DFC技术人员等方面提出了实施新DFC技术的现实要求。

The rapid development of large data technology has produced a near - subversion effect on all walks of life, and the introduction of large data technology into cost - oriented design is also imminent. This paper expounds the shortcomings of DFC technology in data acquisition and storage, data mining and analysis and data security in large data environment, and puts forward the countermeasures. The DFC technology is briefly analyzed, and the DFC Technology in the data acquisition and storage, cost estimation, virtual reality application, mobile design of the four aspects of improvement, and from the technical environment, enterprise management and DFC technical staff and other aspects of the implementation of the new DFC technology requirements.