航天工程质量数据体系架构的挖掘

The architecture of quality data mining in aerospace engineering

依据DoDAF体系架构框架理论,针对航天工程中的质量大数据(数据包),采用经验法挖掘出航天工程质量数据体系架构的过程模型。该过程模型与前馈-反馈复合控制系统模型基本吻合,进而识别出航天质量工作恰是遵循了前馈-反馈的复合控制机制。在该机制下,进一步从4个维度选取典型质量数据进行挖掘,得到了关于“热词”、数据基线和质量问题预测等3个方面的重要信息。

Based on the DoDAF architecture framework theory,for the quality big data(data package)in aerospace engineering,a process model of the aerospace engineering quality data architecture is mined by the empirical method.The process model is consistent with the feedforward and feedback compound control system models,and it is shown that the space quality work follows the compound control mechanism of the feedforward and the feedback.Based on this mechanism,the typical quality data are selected from four dimensions and mined,and the important information about the“hot words”,the data baseline and the quality problem predictions is obtained.