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基于基数样条曲线算法快速绘制原煤可选性曲线 被引量:2

Realization of rapid plotting raw coal washability curve using cardinal spline curve algorithm
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摘要 为了提高原煤可选性曲线的绘制速度和查询数据的准确性,提出了一种快速实现曲线绘制的方法,其核心是依据密度已知点的变化趋势,通过Akima spline自动插值,再采用C#基数样条曲线算法编程实现原煤可选性曲线的可视化和自动读值。大量应用实例表明:该方法处理效率高,曲线拟合效果好,且自动读值可为后续数据分析提供准确参考。 In order to increase the raw coal washability curve plotting speed and the accuracy of the data acquired,a rapid raw coal washability curve plotting method is proposed. The essence of the method is to realize visualization of the washability curve and automatic data reading based on the trend of variation of given density points and through first Akima spline automatic interpolation and then programming with the use of the C# cardinal spline curve algorithm. Extensive cases of field application indicate the method is high in efficiency and can produce a good curve-fitting result. Moreover,its automatic value reading possibility makes it possible to provide accurate data for subsequent analysis.
作者 李跟银
出处 《选煤技术》 CAS 2016年第5期5-8,共4页 Coal Preparation Technology
关键词 原煤可选性曲线 基数样条算法 Akima spline插值 可视化 自动读值 raw coal washability curve cardinal spline curve algorithm Akima spline interpolation visualization automatic value read-out
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