基于温度梯度特性的河道冰厚判别算法研究

发布时间：2018-03-01 23:18

  本文关键词： 冰情 冰层厚度 温度梯度 判别算法 黄河　出处：《人民黄河》2017年10期 　论文类型：期刊论文

【摘要】：基于空气、冰与水的温度梯度特性差异,设计了适应高寒地区内陆河道冰层厚度定点自动检测的传感器和数据采集系统。为了解决温度梯度式冰层厚度传感器在判别冰层上界面(冰与空气的分界面)时存在较大误差的问题,提出了一种利用连续温度变化特性实现冰层界面精确判别的优化算法,并基于黄河的现场实测数据,将该算法与冻冰度日法和人工实测方法的结果进行了对比。研究结果为内陆河道冬季冰情数据的后期处理提供了一种新的思路。
[Abstract]:Based on the temperature gradient characteristics of air, ice and water, In order to solve the problem of temperature gradient ice thickness sensor in judging the interface of ice layer (the interface of ice and air), a sensor and a data acquisition system are designed for automatic measurement of ice thickness in inland channel in high and cold regions. There is a big error problem, In this paper, an optimization algorithm for accurate identification of ice layer interface using continuous temperature variation characteristics is proposed, and based on the field measured data of the Yellow River, The results of this algorithm are compared with the results of freezing day method and artificial measurement method. The results provide a new idea for the post-processing of the winter ice regime data in inland river channels.
【作者单位】： 太原理工大学新型传感器与智能控制教育部与山西省重点实验室;太原理工大学物理与光电工程学院;
【基金】：国家自然科学基金资助项目(51279122,51205273) 山西省青年科技研究基金资助项目(2015021097) 中俄(NSFC-RFBR)合作交流项目(5141101131) 水利部公益性行业科研专项(1261530110110)
【分类号】：TP212.9;TV875
，

本文编号：1554026