电熔镁炉声信号采集与分析系统的研究
[Abstract]:Fused magnesium oxide is an advanced refractory with high melting point, corrosion resistance and good insulation performance. It is widely used in metallurgy, national defense, nuclear industry and other fields. The main production equipment for the preparation of fused magnesium oxide is electric melting magnesium furnace. The environment of melting site in electric melting magnesium furnace is very bad, and there are complex external disturbances in smelting production. The furnace itself is a strong nonlinear, time-varying and strong coupling control object. Different melting states of electric melting magnesium furnace need different operation strategies, but at present, the judgment of melting state of electric melting magnesium furnace mainly depends on the subjective experience of field operators, and can not accurately judge the melting state of electric melting magnesium furnace. It is unfavorable to the automatic control of electric melting magnesium furnace and affects the quality of products and energy saving and emission reduction. Supported by the National High Technology Research and Development Program (863 Program) "key Technologies and equipment for Green melting of magnesite", this paper takes an electric melting magnesium furnace in a factory in Yingkou as a smelting object. According to the mathematical relation between arc sound signal and arc current, the mathematical expression of arc sound signal is deduced, the position of measuring point of electric melting magnesium furnace sound signal is established, and the hardware platform of data acquisition is built by using NI data acquisition card. The acoustic signal acquisition and analysis system of fused magnesium furnace is designed and developed by using graphical programming software LabVIEW. The acoustic signal acquisition and analysis system designed in this paper can realize the functions of identity login, data acquisition, data access, signal denoising and time-frequency analysis, remote control and so on. The electric arc sound signals and current signals in different melting states in the whole smelting process of the electric melting magnesium furnace are collected by this system. The db04 wavelet is selected to reduce the noise of the acquired arc sound signals by soft threshold method. The wavelet time-frequency diagram of arc sound signal is drawn by LabVIEW and MATLAB. By analyzing the sound intensity signal, the amplitude of three-phase current and the time-frequency diagram of the electric arc sound signal in different melting states of the fused magnesium furnace, the characteristic criteria for identifying the different melting states of the electric melting magnesium furnace are obtained. The field smelting experiments show that the criterion can effectively judge the various working conditions of the fused magnesium furnace, improve the quality of the product and reduce the energy consumption of one ton. It provides a new research method for the automatic smelting technology of the electric melting magnesium furnace.
【学位授予单位】:大连理工大学
【学位级别】:硕士
【学位授予年份】:2016
【分类号】:TP274.2
【相似文献】
相关期刊论文 前9条
1 孙安民;利用多媒体计算机处理立体声信号[J];电声技术;1998年10期
2 何璞;谢菠荪;钟小丽;;采用无耳壳头相关传输函数的虚拟声信号处理[J];应用声学;2007年02期
3 徐泾平,,程敬之;生理声信号分析的进展[J];科技导报;1995年04期
4 戴硕;罗海;黄河;周荷琴;;基于声信号处理的交通事故自动检测算法[J];电子技术;2010年10期
5 肖涵;李友荣;吕勇;;一种新的基于声信号的故障分类算法[J];测试技术学报;2008年01期
6 胡兴宇;屈平;温志芳;王忠庆;;利用小波分解处理声信号[J];科技信息;2011年16期
7 郑贤中;杨侠;吴艳阳;;非线性参量阵系统设计与声响应优化计算[J];信号处理;2009年05期
8 ;声象理论与技术[J];电子科技文摘;2003年07期
9 ;[J];;年期
相关会议论文 前3条
1 陈其才;张铭;李安邦;吴飞健;;声信号处理过程中神经元间的相互作用[A];新世纪 新机遇 新挑战——知识创新和高新技术产业发展(上册)[C];2001年
2 何璞;谢菠荪;钟小丽;;采用无耳壳头相关传输函数的虚拟声信号处理[A];2005年声频工程学术交流会论文集[C];2005年
3 朱珍珍;马任;马也亭;张顺起;殷涛;刘志朋;;基于磁声耦合效应的声信号特征分析[A];天津市生物医学工程学会第三十三届学术年会论文集[C];2013年
相关硕士学位论文 前9条
1 文祥计;基于智能手机的声信号室内定位系统研究[D];浙江大学;2016年
2 张小明;电熔镁炉声信号采集与分析系统的研究[D];大连理工大学;2016年
3 张磊;浮标基水下声信号处理平台设计与实现[D];哈尔滨工程大学;2010年
4 张东玲;物理小波变换在声信号处理中的应用[D];中国海洋大学;2006年
5 王巍巍;鱼类声信号的分析及特征提取研究[D];哈尔滨工程大学;2009年
6 魏平姣;水流量测量中的声信号处理及数据传输研究[D];沈阳航空航天大学;2013年
7 周莹;基于声信号的运动车辆识别算法研究与实现[D];电子科技大学;2013年
8 李大赵;次声信号的获取与处理[D];中北大学;2006年
9 王雅芬;通用多功能水声信号处理系统及其应用[D];西北工业大学;2007年
本文编号:2168640
本文链接:https://www.wllwen.com/kejilunwen/zidonghuakongzhilunwen/2168640.html