加热炉加热过程中板坯表面温度与内部温度的均匀程度直接影响板坯的加工质量,要使板坯在加热过程中温度达到 内外均匀一致,从入钢经预热、加热段至均热需要有较长的加热周期,而高温环境下滞留时间长,在板坯表面 易形成较多的氧化皮,它是钢铁在高温下发生氧化作用而形成的腐蚀产物,由氧化亚铁、四氧化三铁、三氧 化二铁组成,通常工业生产中也称为“铁鳞”。在加热炉加热过程中炉膛温度随着空燃比、流量及工艺要求 等不断发生变化,铁鳞的温度随着炉膛温度上下波动,对准确测量和判断板坯表面温度造成影响,因此, 如何从瞬态波动的铁鳞温度中分离出板坯表面温度具有重要且实际的意义,从几种图像分割算法 入手,通过比较得出一种比较适用的区域生长的方法,从而区分出铁鳞和板坯的温度,准确获得所需的表面温度。

The uniformity of the heating process about the internal and surface temperature of the slab directly affects the processing quality of the slab. To make the internal and surface temperature of the slab uniform in the heating process, a long heating cycle is needed from street entering to the preheated and the heating section, and to soaking of the slab. But the longer residence time at the high temperature, the surface of the slab is more easily oxided, which is the result of oxidation corrosion of steel at high temperatures and in industrial production is also referred to as “the scale”. In the heating furnace with changes of the air-fuel furnace temperature, flow and process requirements, the temperature of the scale also fluctuated, which played a role in the accurate measurement of the slab surface temperature. Therefore how to separate the slab surface temperature is important. Several image segmentation algorithms are compared to obtain the suitable region growing method, which can distinguish iron scales from the slab temperature and obtain the desired temperature.