電熔鎂爐聲信號(hào)采集與分析系統(tǒng)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.
【學(xué)位授予單位】:大連理工大學(xué)
【學(xué)位級(jí)別】:碩士
【學(xué)位授予年份】:2016
【分類號(hào)】:TP274.2
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