模糊不确定环境下的工业4.0及其实践

Arijit Ghosh, Suchitra Kumari, S. Mondal, A. Ahmadian
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引用次数: 0

摘要

工业4.0包括速度、灵活性、质量、技术、业务效率和环境效率的最佳组合,从而带来更安全、更有保障的未来。以前的革命都是基于创造新技术的想法而设计的,因此偶然发现了创造带来的缺陷,但最新的工业4.0处理的是采取市场上已经存在的任何技术,并积极消除与之相关的所有混乱,最终使这一过程成为一种彻底的创新。尽管在基础技术上进行了创新,以建立更好的工业未来流程,但仍有一些问题没有明确的解决方案,这就是模糊数学建模发挥作用的地方。此外,随着被认为是机器人时代的工业5.0的出现,即使在不确定的环境中,机器人也可以得到关于制造过程的明确指示。因此,该过程略有修改;模糊建模将能够处理这种不精确的情况。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Industry 4.0 and Its Practice in Terms of Fuzzy Uncertain Environment
Industry 4.0 comprises an optimum mix of speed, flexibility, quality, technology, business efficiency and environmental efficiency which leads to a safer and secured future. The previous revolutions have all been designed on the idea of creating newer technologies and have thereby chanced upon editing the flaws which comes with creating but the newest Industry 4.0 deals with taking whatever technology is already present in the market and actively removing all the clutter associated with it which eventually makes this process an innovation through and through. In spite of innovating upon the base technology to build processes for a better industrial future, there are some problems which do not have a clear-cut solution and this is where Fuzzy mathematical modeling comes into play. Moreover, with talks of Industry 5.0 surfacing, which is considered as the age of robots, a robot is given clear cut instructions as to a manufacturing process even in an uncertain environment. Thus, the process is slightly modified; a fuzzy modeling will be capable of handling such imprecise situations.
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