首页> 外文期刊>Journal of visual communication & image representation >Modeling of image, video and text fusion quality data packet system for aerospace complex products based on business intelligence
【24h】

Modeling of image, video and text fusion quality data packet system for aerospace complex products based on business intelligence

机译:基于商业智能的航空航天复合品图像,视频和文本融合质量数据包系统建模

获取原文
获取原文并翻译 | 示例

摘要

For the construction of image, video and text fusion quality data packet system during the whole life of complex products, a business intelligence-based logic modeling method is proposed in this paper. As the amount of Polymorphic data from multiple distributed sources continues to grow exponentially, automation tools are becoming critical to decision makers. The balanced scorecard method is used as the basis for modeling, and the traditional dimensions are modified slightly to meet the requirements of quality data management in aerospace enterprises. A data warehouse with predefined fact and dimension tables is created, and a technical solution is provided to meet the requirements and scales of enterprises. In terms of model applications, any enterprise quality manager can extract value from data in the quality data package system for improvement. Online analytical processing (OLAP) cubes support major tasks, such as key quality feature source tracing and analysis, quality issue data mining and integrated quality data delivery. (C) 2018 Published by Elsevier Inc.
机译:对于在复杂产品的整个寿命期间构建图像,视频和文本融合质量数据包系统,本文提出了一种商业智能的逻辑建模方法。随着来自多个分布式源的多态性数据的数量继续呈指数增长,自动化工具对决策者至关重要。平衡的记分卡方法用作建模的基础,传统尺寸略微修改,以满足航空航天企业质量数据管理的要求。创建具有预定义事实和维度表的数据仓库,提供了一种技术解决方案,以满足企业的需求和规模。在模型应用方面,任何企业质量管理员都可以从质量数据包系统中的数据中提取值以进行改进。在线分析处理(OLAP)立方体支持主要任务,如关键质量功能源跟踪和分析,质量发行数据挖掘和综合质量数据交付。 (c)2018由elsevier公司出版

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