摘要
为了提高海洋水文气象数据采集精度,需要对观测设备获得的数据参数进行误差校准标定。本文分别对分段线性化算法、最小二乘法的曲线拟合计算方法和样条函数分段三次多项式算法进行对比分析,最终将通过所有误差标定点且标定点处曲线光滑连续的样条函数分段三次多项式曲线拟合法,作为标准数据与观测数据进行误差校准标定的基本方法。通过实验对比分析,三次样条函数分段拟合误差标定法能够降低数据测量误差,保证观测设备获得较为准确、可靠的数据参数。
In order to improve the precision of hydro-meteorological observation data acquisition, the error calibration was needed for the data parameters obtained from the observation equipment. In this paper, three kinds of error calibration algorithm including piecewise linearization, least squares curve fitting and three polynomial of spline function were compared. Finally, three polynomial fitting of spline function method, which could pass through all the error calibration points and have smooth and continuous curve near the calibration points, was determined to be used for error calibration of the observation data. The experimental comparative analysis shows that three spline function fitting error calibration method can reduce the data measurement error and ensure the observation equipment to obtain a more accurate and reliable data parameter.
出处
《山东科学》
CAS
2017年第3期1-7,共7页
Shandong Science
基金
国家重点研发计划(2016YFC1400403)
关键词
水文气象观测
最小二乘法
样条函数分段拟合
误差校准
hydro-meteorological observation
least square method
spline function fitting
error calibration
