A New Multistage Filtering Method for Real-Time Tide Observation Method

Hai Guo, Yanyan Wang, Yifei Zhang, Peng Wang, G. Wang
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Abstract

The tide observation plays an important role in in the fields of marine disaster early warning, sea level change research, marine engineering design and so on. As the demand of intensive tide observation increases, the precision of the tide observation equipment without shaft style is a key problem limiting its further application. The paper proposes a new multistage filtering method by analyzing the characteristic of traditional tide well. The new method is composed of a digital limiting filtering algorithm, a moving average algorithm and an arithmetic average algorithm. The simulation of the new method is applied through MATLAB. Experiments are done in the tidal well after applying the method. The data are compared with the more precise float type water level gauge. The results prove that the method could effectively eliminate the adverse effects of wave and other interference factors and improve the measurement precision to 0. 01m.
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实时潮汐观测方法的多级滤波新方法
潮汐观测在海洋灾害预警、海平面变化研究、海洋工程设计等领域发挥着重要作用。随着集约化潮汐观测需求的增加,无轴式潮汐观测设备的精度是制约其进一步应用的关键问题。通过分析传统潮汐井的特点,提出了一种新的多级滤波方法。该方法由数字极限滤波算法、移动平均算法和算术平均算法组成。通过MATLAB对新方法进行了仿真。应用该方法在潮汐井中进行了实验。并与精度更高的浮子式水位计进行了比较。结果表明,该方法能有效地消除波动等干扰因素的不利影响,将测量精度提高到0。01 m。
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