Three-phase AC Electric Arc Furnace(EAF)often encounters short circuit and broken arc in the smelting process,which not only prolongates the power supply and steel production time,increases energy consumption,but also threatens the safety and stability of produc-tion.An innovative electrode-regulated stress intervention technique based on arc acoustic signal analysis is proposed to optimize the EAF smelting process.First,based on the arc sound signal of 75 t plain carbon steel EAF production site,the arc sound time-frequency character-istics of short circuit,broken arc and steady state operation were investigated.By using the smooth pseudo-Wgener distribution algorithm to e-valuate the energy density level of arc sound,this paper successfully defines the characteristic frequencies of abnormal furnace conditions and steady-state operation,and establishes accurate criteria for abnormal furnace conditions identification.In addition,the prediction rule of ab-normal furnace condition is revealed by analyzing the characteristic frequency of arc sound in steady state operation,early stage of short circuit and breaking arc and its occurrence.On this basis,the stress intervention mechanism is integrated into the existing electrode regulation control system,and the automatic control is realized by programming.Engineering verification results show that the technology can effectively predict and intervene in abnormal furnace conditions 3-4 seconds before,significantly reducing short circuits and arc breaks,while reducing energy consumption per ton by 7.5％,confirming its potential to improve EAF smelting efficiency and reduce costs.
维普
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