Abstract: A flotation process for treating coal slime in which coal slime, a collecting agent and a frothing agent are fed into an ore slurry pretreater, and salt-containing waste water of coal chemical industry discharged from a coal chemical enterprise is fed as dilution water into the ore slurry pretreater and mixed together to complete mineralization; the mineralized ore slurry is subjected to a rough separation operation, the products obtained in the rough separation operation are subjected to a fine separation operation, and the ash content of the fine separation tailings is tested with an ash analyzer; the tailings are returned into the ore slurry pretreater for separation again if the ash content of the fine separation tailings is greater than 20%; otherwise the tailings are discharged as fine separation tailing products if the ash content of the fine separation tailings is smaller than 20%; the fine separation tailing products discharged through a pipeline enter into a pressure filter for dehydration, and filt

Abstract: The present invention discloses a Multiple Signal Classification (MUSIC) corrosion monitoring method via excitation beam forming and weighted image fusing. Because damage-related scattering signals are weak and precision of the MUSIC algorithm is affected, the present invention first introduces excitation beam forming and two arrays into the MUSIC method, to enhance scattering signals of corrosive damage and improve their signal-to-noise ratios. Then, the two arrays serve as an excitation array or a sensor array in turn, by assigning weight to fused corrosive damage images of the two arrays, monitoring of corrosive damage in blind zones of the one-dimensional linear arrays is realized. Finally, factors related to the corrosive damage are calculated based on eigenvalues of covariance matrixes of array signals, to determine the depth of the corrosive damage.

Abstract: The present invention discloses a Multiple Signal Classification (MUSIC) corrosion monitoring method via excitation beam forming and weighted image fusing. Because damage-related scattering signals are weak and precision of the MUSIC algorithm is affected, the present invention first introduces excitation beam forming and two arrays into the MUSIC method, to enhance scattering signals of corrosive damage and improve their signal-to-noise ratios. Then, the two arrays serve as an excitation array or a sensor array in turn, by assigning weight to fused corrosive damage images of the two arrays, monitoring of corrosive damage in blind zones of the one-dimensional linear arrays is realized. Finally, factors related to the corrosive damage are calculated based on eigenvalues of covariance matrixes of array signals, to determine the depth of the corrosive damage.