截面数据精确分段方法研究

针对截面数据分段精度不够,从而导致截面曲线重构精度差的问题,提出一种截面数据精确分段方法。这里重点研究相邻特征为直线特征和自由特征在满足G1连续时数据的精确分段。首先根据数据平滑的原理及其作用,对被平滑的数据分别采用不同的领域窗口方法确定出分段点所在的数据点区间;然后以自由曲线的逼近误差作为判断条件,在该区间内进一步迭代搜索精确的分段点。提出的截面数据分割方法不仅能够在现有数据中寻找分段点,而且可以超越现有数据点并在其之间寻找更精确的分段点。实例表明,该方法大大提高了截面数据的分段精度,进而使重构的截面曲线更加符合初始设计意图。

Research on Accurate Segmentation Method of Sectional Data

Due to poor segmentation accuracy of sectional data, resulting in sectional curve reconstruction poor accuracy, accurate segmentation method of sectional data was proposed. The data segmentation of linear features and freeform features in G^1 continuous was focused. Firstly, according to principle and function of data smoothing, the method of different neighborhood window was used for smoothed data to determine data points interval of segmentation point; Then the approximation error of free curve as the judgment condition, the accurate segmentation point was further iterative searched in the interval. The proposed method not only find segmentation point in existing data, but also go beyond the existing data points and find more accurate segmentation point between them. Examples show the segmentation accuracy of sectional data is greatly improved, makes the reconstructed sectional curve conform to the original design intent.