本文關(guān)鍵詞： 冰情 冰層厚度 溫度梯度 判別算法 黃河　出處：《人民黃河》2017年10期 　論文類(lèi)型：期刊論文

【摘要】：基于空氣、冰與水的溫度梯度特性差異,設(shè)計(jì)了適應(yīng)高寒地區(qū)內(nèi)陸河道冰層厚度定點(diǎn)自動(dòng)檢測(cè)的傳感器和數(shù)據(jù)采集系統(tǒng)。為了解決溫度梯度式冰層厚度傳感器在判別冰層上界面(冰與空氣的分界面)時(shí)存在較大誤差的問(wèn)題,提出了一種利用連續(xù)溫度變化特性實(shí)現(xiàn)冰層界面精確判別的優(yōu)化算法,并基于黃河的現(xiàn)場(chǎng)實(shí)測(cè)數(shù)據(jù),將該算法與凍冰度日法和人工實(shí)測(cè)方法的結(jié)果進(jìn)行了對(duì)比。研究結(jié)果為內(nèi)陸河道冬季冰情數(shù)據(jù)的后期處理提供了一種新的思路。
[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.
【作者單位】： 太原理工大學(xué)新型傳感器與智能控制教育部與山西省重點(diǎn)實(shí)驗(yàn)室;太原理工大學(xué)物理與光電工程學(xué)院;
【基金】：國(guó)家自然科學(xué)基金資助項(xiàng)目(51279122,51205273) 山西省青年科技研究基金資助項(xiàng)目(2015021097) 中俄(NSFC-RFBR)合作交流項(xiàng)目(5141101131) 水利部公益性行業(yè)科研專項(xiàng)(1261530110110)
【分類(lèi)號(hào)】：TP212.9;TV875
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本文編號(hào)：1554026