大数据下基于关联规则算法的民机质量数据分析可视化

Visualization of Civil Aircraft Quality Data Analysis Based on Association Rule Algorithm Under Big Data

民机产业不同于一般的制造业,对装配制造过程中的质量提出了极其严格的要求。其复杂的操作流程必然会产生大量的质量数据。随着时代的推移,累积的质量数据正在以指数级的速度进行增长。数据挖掘技术的不断发展以及大数据可视化技术的不断完善为我们对海量的民机质量数据分析可视化提供了一个新的方向。本文完成大数据下基于关联规则算法的民机质量数据可视化的设计与实施。实践表明,民机质量数据分析可视化能够有效地展现海量质量数据中的潜在规律。

Civil aircraft industry is different from the general manufacturing industry,stringent requirements were put forward on its quality in the assembly manufacturing process. A large amount of quality data will be inevitably produced taking the complex operation of the process into account. As time goes by,cumulative quality data is growing exponentially. The continuous development of data mining technology and the improvement of big data visualization technology provide us a new direction for mass data analysis and visualization of mass civilian aircraft. In this paper,the design and implementation of mass data visualization of civil aircraft based on association rules algorithm under big data are completed. Practice shows that the visualization of quality data analysis of civil aircraft can effectively display the potential laws in the mass data.