Concept of predictive maintenance of production systems in accordance with industry 4.0

L. Spendla, M. Kebísek, P. Tanuška, Lukas Hrcka
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引用次数: 49

Abstract

In the proposed paper, we described the approach to build Hadoop based knowledge discovery platform. The proposal focuses on predictive maintenance of production systems, including manufacturing machines and tools, to increase the production process quality. The proposal utilises production data storage, built on Hadoop framework and NoSQL systems, integrated into traditional data warehouse discovery platform, preserving the well proven and robust data warehouse decision support and analytic tools. The initial proof of concept case study is included in the proposed paper.
根据工业4.0对生产系统进行预测性维护的概念
在本文中,我们描述了基于Hadoop的知识发现平台的构建方法。该建议侧重于生产系统的预测性维护,包括制造机器和工具,以提高生产过程质量。该提案利用基于Hadoop框架和NoSQL系统的生产数据存储,集成到传统的数据仓库发现平台中,保留了经过验证的强大的数据仓库决策支持和分析工具。最初的概念证明案例研究包括在拟议的文件中。
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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