An Analysis of the Value of Data Ecosystem Tools for Industry 4.0

T. Page
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引用次数: 1

Abstract

Product design is a process that involves many methods and practices to be able to create “good design.” From user studies to experimentation, the designer has many tools at his disposal to understand the market and the requirements of the product they wish to produce. Big data has been a disruptor in user analysis for many organizations wishing to get the bigger picture. It has proven to have many positive implications while also being restrictive to those willing to use it. Therefore, connected open systems where all stratums are able to access similar applications have been made available. With the 4th industrial revolution underway, and the ability to utilise a plethora of sensors and electronic data provided by internet connected devices, is it in the designer's interest to adopt modern data practices? During this research, the suitability of big data practices to designers was assessed to gain an understanding of the environment that would allow designers to utilise this new platform including the practice of open data and the systems required to manage it. This article will address emerging and current technologies in the use of data within the 4th industrial revolution. Big data and open data were critically examined of their processes and downfalls compared to how the designer would use the practices.
工业4.0数据生态系统工具价值分析
产品设计是一个涉及许多方法和实践的过程,能够创造出“好的设计”。从用户研究到实验,设计师可以使用许多工具来了解市场和他们希望生产的产品的需求。对于许多希望获得更大图景的组织来说,大数据已经成为用户分析的颠覆者。事实证明,它有许多积极的影响,同时也限制了那些愿意使用它的人。因此,所有地层都可以访问类似应用程序的连接开放系统已经可用。随着第四次工业革命的进行,以及利用互联网连接设备提供的大量传感器和电子数据的能力,采用现代数据实践是否符合设计师的利益?在这项研究中,评估了大数据实践对设计师的适用性,以了解允许设计师利用这个新平台的环境,包括开放数据的实践和管理它所需的系统。本文将讨论在第四次工业革命中使用数据的新兴和当前技术。与设计师如何使用实践相比,大数据和开放数据对其过程和缺陷进行了严格的检查。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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