烧结矿断面图像分析与操作指导系统

Image Analysis and Operation Guiding System of Sintering Zone Cross Section

应用图像处理与神经网络技术,根据烧结操作人员对烧结矿 FeO 含量判断的方法,应用 CCD 摄像机采集烧结机尾断面图像对其进行实时处理、特征提取,并由根据烧结看火工的经验知识训练的 BP 神经网络对图像分类辨识,得出相应的 FeO、燃料、水份等参数。

Techniques of image processing and neural networks applied to the intelligent detector of FeO content in sinter is proposed. One CCD camera is used in the detector to collect the cross section image of the discharge and then make real-time image processing and feature extracting. Neural network trained by the experience of watchers-fire is employed to image classified identification, so as to determine the content degree of FeO in the sinter at the moment of sampling. Using artificial intelligent methods guide the producting operation.