Sintering is the preproduction process of ironmaking, whose products are the basis of ironmaking. How to improve the operating performance of the iron ore sintering process has always been a problem that operators are committed to solve. An operating performance improvement method based on prediction and grade assessment is presented in this article. First, considering the data distribution characteristics of the process, a performance index prediction model based on the Gaussian process regression is built, in which the mutual information analysis method is used to select the inputs of the performance index prediction model. Then, the operating performance grade is assessed by a threshold division method. Next, the operating performance grade guides the control of the burn-through point to improve the operating performance. Finally, experimental verification is performed based on the actual running data. The results show that the proposed method has high prediction accuracy, and it is also significant in improving the operating performance. Therefore, this approach provides an effective solution to predict and improve operating performance.

中文翻译：

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基于烧结过程预测和等级评估的操作性能改进。

烧结是炼铁的预生产过程，其产品是炼铁的基础。如何提高铁矿石烧结工艺的运行性能一直是经营者致力于解决的问题。本文提出了一种基于预测和等级评估的经营绩效改进方法。首先，考虑过程的数据分布特点，建立了基于高斯过程回归的性能指标预测模型，其中采用互信息分析方法选择性能指标预测模型的输入。然后，通过阈值划分方法评估运行性能等级。其次，运行性能等级指导烧穿点的控制，提高运行性能。最后，根据实际运行数据进行实验验证。结果表明，该方法具有较高的预测精度，对提高运行性能也具有重要意义。因此，这种方法为预测和提高运营绩效提供了有效的解决方案。