Application of Neural Networks in Optimization of Automatic Slag Skimming Control
A steel mill plans to renovate the KR desulfurization sta tion slag skimming position,the previous soft and hard transformation of image analysis,but limited by the imaging position,the aucomatic control effect is not good.Through the introduction of neural networks to predict the position of the tipping end point,the pixel coordinates are converted to improve the accuracy of the automatic tipping end point,enhance the accuracy of the automatic slag skimming control slag raking arm,and make the whole automatic slag skimming process more accurate and smooth.
万方数据
维普
