Data from mechanical models computing and fields sampling are gathered to generate training samples with good orthogonality and wide ranges, which can improve the generality and reliability of models.

• 将机理模型计算数据与现场采集数据相结合，获得正交性和完备性较好的训练样本数据，增强模型的外推能力和可信度。