NORCE Norwegian Research Centre AS, 4630 Kristiansand, Norway.
Sensors (Basel). 2023 Jan 18;23(3):1130. doi: 10.3390/s23031130.
Real-time closed-loop control of metallurgical processes is still in its infancy, mostly based on simple models and limited sensor data and challenged by extreme temperature and harsh process conditions. Contact-free thermal imaging-based measurement approaches thus appear to be particularly suitable for process monitoring. With the potential to generate vast amounts of accurate data in real time and combined with artificial intelligence methods to enable real-time analysis and integration of expert knowledge, thermal spectral imaging is identified as a promising method offering more robust and accurate identification of key parameters, such as surface temperature, morphology, composition, and flow rate.
冶金过程的实时闭环控制仍处于起步阶段，主要基于简单的模型和有限的传感器数据，并受到极端温度和恶劣工艺条件的挑战。因此，基于非接触式热成像的测量方法似乎特别适合用于过程监测。热光谱成像具有实时生成大量准确数据的潜力，并结合人工智能方法实现实时分析和专家知识的集成，被认为是一种很有前途的方法，可以更稳健、更准确地识别关键参数，如表面温度、形貌、成分和流速。
