单一工业测量系统通常需要频繁的空间配准来实现对大尺寸工业组件的高精度测量,本文以经纬仪测量系统进行大尺寸工业测量为基础,构建了SVD法空间数据配准模型,并根据经纬仪测量系统实验数据对SVD法与LEICA Axyz算法的空间数据配准结果进行了分析与比较,结果表明奇异值分解(SVD)法具有较高的空间数据配准精度。 A single industrial measurement system usually requires frequent spatial registration to achieve high-precision measurement of large-size industrial components. Based on the large-scale industrial measurement of a theodolite measurement system, the SVD spatial data registration model is constructed, and based on the theodolite measurement The experimental results show that the singular value decomposition (SVD) method has high spatial data registration accuracy.