高炉炉喉煤气流分在数学模型
A MATHEMATICAL MODEL FOR ESTIMATING GAS FLOW DISTRIBUTION IN THE BLAST FURNACE THROAT
-
摘要: 应用人工神经网络方法中的误差逆传播模型(BP)建立了高炉炉喉煤气而分布数学模型。该数学模型在攀钢4高炉VAX机上在线运行,能连续推测炉喉煤气流分布,其命中率达到82%,有效地指导了高炉操作。Abstract: The mathematical model has been developed for the estimation of the gas flow distribution in the blast furnace throat based on the back-propagation algorithm of artificial neural network. The mathematical model on-line runs on VAX computer for the No. 4 blast furnace at Pangang,and continuously estimates the gas flow distribution in the blast furnace throat. The hitting percent for the model to estimate the gas flow distribution reaches 82%,which shows high performance in guiding blast furnace operation.
-
Key words:
- mathematioal model /
- artificial neural network /
- blast furnace /
- gas flow /
- computer application
点击查看大图
计量
- 文章访问数: 31
- HTML全文浏览量: 8
- PDF下载量: 0
- 被引次数: 0