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为了监测冷却壁热态状况,延长高炉寿命,将人工智能仿真技术引入到冷却壁数值仿真中,建立了基于传热数学模型与人工智能技术结合的高炉冷却壁系统智能仿真模型。基于传热模型及试验测试数据,探讨了冷却壁热面局部高温状况下,热面最高温度与监测点(1~5个监测点)之间的基本传热数学模型。利用试验数据,对冷却壁智能监测模型进行了训练,提高了模型与实际物理过程的吻合程度。该模型能在线监测高炉冷却壁的热态状况。
In order to monitor the thermal status of the cooling stave and extend the life of the blast furnace, artificial intelligence simulation technology is introduced into the numerical simulation of the stave. An intelligent simulation model of blast furnace stave based on heat transfer mathematical model and artificial intelligence technology is established. Based on the heat transfer model and the test data, the mathematical model of the basic heat transfer between the maximum temperature of the hot surface and the monitoring point (1-5 monitoring points) is discussed. Based on the experimental data, the intelligent monitoring model of cooling wall was trained to improve the consistency between the model and the actual physical process. The model can be used to monitor the hot condition of blast furnace cooling stave.