论文标题
在Farplas Automotive的制造领域启用大数据分析
Enabling Big Data Analytics at Manufacturing Fields of Farplas Automotive
论文作者
论文摘要
当今行业需要数字化和数据驱动的制造过程。 “行业4.0”一词代表当今的工业数字化，该工业数字化定义为对产品生命周期的整个价值链的一个新水平和控制；它针对越来越个性化的客户的高质量期望。但是，由于连接设备的数量增加和数据的多样性，因此很难使用常规系统存储和分析数据。本文的动机是概述对大数据管道的理解，从而提供实时的本地数据获取，数据压缩，数据存储和处理，并通过Apache kafka和Apache在Apache Ha-poop群集上实现实施，并确定最大的farplas Sartive and the the the the the the the the the the the the the the the the the the the the the the the the the the the the the the the the the the the the the the the the the the teremot的挑战和问题通过行业4.0进行主题。
Digitization and data-driven manufacturing process is needed for today's industry. The term Industry 4.0 stands for today industrial digitization which is defined as a new level of organization and control over the entire value chain of the life cycle of products; it is geared towards increasingly individualized customer's high-quality expectations. However, due to the increase in the number of connected devices and the variety of data, it has become difficult to store and analyze data with conventional systems. The motivation of this paper is to provide an overview of the understanding of the big data pipeline, providing a real-time on-premise data acquisition, data compression, data storage and processing with Apache Kafka and Apache Spark implementation on Apache Ha-doop cluster, and identifying the challenges and issues occurring with implementation the Farplas manufacturing company, which is one of the biggest Tier 1 automotive supplier in Turkey, to study the new trends and streams related to topics via Industry 4.0.
