山东科学 ›› 2017, Vol. 30 ›› Issue (3): 1-7.doi: 10.3976/j.issn.1002-4026.2017.03.001

• 海洋科技与装备 •    下一篇

海洋水文气象观测设备误差校准算法研究

杨俊贤1,万婧2,刘忠民3,赵杰1,杨立1,朱洪海1,惠力1,杨英1   

  1. 1.山东省科学院海洋仪器仪表研究所,山东省海洋环境监测技术重点实验室,山东 青岛 266001;
    2.山东省海洋仪器仪表科技中心,山东 青岛 266001 3.国家海洋局烟台海洋环境监测中心站,山东 烟台 264011
  • 收稿日期:2017-01-13 出版日期:2017-06-20 发布日期:2017-06-20
  • 作者简介:杨俊贤(1981—),女,硕士,工程师,研究方向为海洋装备技术。E-mail:yjxwork@126.com
  • 基金资助:

    国家重点研发计划(2016YFC1400403)

Research on the error calibration algorithm of the marine hydro-meteorological observation equipment

YANG Jun-xian1,WAN Jing2,LIU Zhong-min3,ZHAO Jie1,YANG Li1,ZHU Hong-hai1,HUI Li1,YANG Ying1
  

  1. 1.Institute of Oceanographic Instrumentation Shandong Academy of Sciences ,Shandong Provincial Key Laboratory of Ocean Environment Monitoring Technology,Qingdao 266001,China; 2.Shandong Oceanographic Instrumentation Science Center, Qingdao 266001, China;3.Yantai Marine Environment Monitoring Center Station,SOA,Yantai 264011,China
  • Received:2017-01-13 Online:2017-06-20 Published:2017-06-20

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。

关键词: 水文气象观测, 样条函数分段拟合, 最小二乘法, 误差校准

Abstract:

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.

Key words: hydro-meteorological observation, error calibration, spline function fitting, least square method

中图分类号: 

  • P715

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