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通过对现有转炉下渣检测系统的分析,提出了一种基于红外热成像原理的嵌入式下渣检测方法,介绍了红外热成像技术原理,阐述了系统嵌入式架构及具体实现方法。该方法通过红外热像仪采集连续钢流图像,结合嵌入式系统技术,利用数字信号处理器(DSP)对采集到的钢流图像数据根据钢水与钢渣在远红外区的热辐射率不同进行特征信号提取与处理,再经DSP的主机并行接口(HPI)将处理后的图像数据发送给ARM处理器,最后采用图形用户接口MiniGUI设计了嵌入式环境下的图形用户界面,实现对转炉出钢过程中钢流状态的实时监控。现场试验表明:该方法成本低,对现有设备改造小,提高了挡渣效果,较好满足了钢水炉外精炼的要求。
Based on the analysis of the slag detection system in the existing converter, an embedded slag detection method based on the principle of infrared thermal imaging is proposed. The principle of infrared thermal imaging technology is introduced, and the embedded system architecture and the specific implementation method are described. In this method, the image of continuous steel flow is acquired by infrared thermal imager. Combined with the embedded system technology, the data of the collected steel flow are characterized by digital signal processor (DSP) according to the difference of thermal emissivity between molten steel and slag in the far infrared region Signal extraction and processing, and then through the DSP host parallel interface (HPI) will be processed image data sent to the ARM processor, and finally the graphical user interface MiniGUI designed embedded graphical user interface environment to achieve the converter tapping process Steel flow in real-time monitoring. Field tests show that the method has the advantages of low cost, small modification to existing equipment and improved slag blocking effect, and better meets the requirements of external refining of molten steel.