ABSTRACT

The size distribution of iron ore sinter is critical to efficient blast furnace operation and is an optimised variable in sinter plants globally. Prompt process control response to discrepancies in sinter size is essential, and the standard sieve measurement test introduces significant delay in data acquisition. We introduce a networked optical sensor system that is shown to accurately measure size distribution within 5 s, collect data continuously at 0.5 Hz, and is well correlated to sieving measurements. This system is deployed at the end of a sinter plant, providing real-time process control data with digital image analysis performed on an integrated microprocessor. The systems performance was assessed with a 12-week validation period, showing excellent correlation with sieve data. Systems such as ours can be widely implemented in sinter plants, and in similar steelmaking applications, due to its cost-effective implementation of continuous data acquisition and the systems versatility to be adapted.

摘要

铁矿石烧结矿的粒度分布对于高炉的高效运行至关重要，并且是全球烧结厂的优化变量。对烧结矿尺寸差异的及时过程控制响应至关重要，而标准筛测量测试会导致数据采集显着延迟。我们引入了一种网络光学传感器系统，该系统可以在 5 秒内准确测量粒度分布，以 0.5 Hz 的频率连续收集数据，并且与筛分测量具有良好的相关性。该系统部署在烧结厂的末端，提供实时过程控制数据以及在集成微处理器上执行的数字图像分析。该系统性能经过 12 周的验证期评估，显示出与筛分数据的良好相关性。像我们这样的系统可以广泛应用于烧结厂、