• 主题
高级搜索  >
历史搜索 清空历史
首页> 外文期刊>IFAC PapersOnLine >Artificial Intelligence Platform Proposal for Paint Structure Quality Prediction within the Industry 4.0 Concept
【24h】

Artificial Intelligence Platform Proposal for Paint Structure Quality Prediction within the Industry 4.0 Concept

机译：工业4.0概念中油漆结构质量预测的人工智能平台建议

获取原文
       
页面导航
  • 摘要
  • 著录项
  • 相似文献
  • 相关主题

摘要

This article provides an artificial intelligence platform proposal for paint structure quality prediction using Big Data analytics methodologies. The whole proposal fits into the current trends that are outlined in the Industry 4.0 concept. The painting process is very complex, producing huge volumes of data, but the main problem is that the data comes from different data sources, often heterogeneous, and it is necessary to propose a way to collect and integrate them into a common repository. The motivation for this work were the industry requirements to solve specific problems that cannot be solved by standard methods but require a sophisticated and holistic approach. It is the application of artificial intelligence that suggests a solution that is not otherwise visible, and the use of standard methods would not give any satisfactory results. The result is the design of an artificial intelligence platform that has been deployed in a real manufacturing process, and the initial results confirm the correctness and validity of this step. We also present a data collection and integration architecture, which is an integral part of every big data analytics solution, and a principal component analysis that was used to reduce the dimensionality of the large number of production process data.
机译：本文提供了使用大数据分析方法的涂料结构质量预测的人工智能平台提案。整个建议适合行业4.0概念中概述的当前趋势。绘画过程非常复杂，产生大量数据，但主要问题是数据来自不同的数据源，通常是异构的，并且有必要提出一种方法来收集和将它们集成到公共存储库中。这项工作的动机是解决无法通过标准方法解决而无法解决的特定问题的行业要求，但需要一种复杂和整体方法。它是人工智能的应用，提出了一个没有其他可见的解决方案，并且使用标准方法不会给出任何令人满意的结果。结果是设计了在真实制造过程中部署的人工智能平台的设计，并且初始结果证实了这一步骤的正确性和有效性。我们还提供了一种数据收集和集成架构，它是每个大数据分析解决方案的一个组成部分，以及用于减少大量生产过程数据的维度的主要成分分析。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱：kefu@zhangqiaokeyan.com

京公网安备：11010802029741号 ICP备案号：京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有

  • 客服微信

  • 服务号