Abstract The abnormal operating mode of the iron ore sintering process will produce sinter ore with low yield and poor quality. It is of high economic value to ensure that the sintering process runs under normal operating mode. An intelligent decision-making strategy based on the forecast of the abnormal operating mode for the iron ore sintering process is presented in this paper. First, a fuzzy rule-based model is used to construct the forecast model of operating mode, of which inputs are selected by the one-way analysis of variance. Then, an intelligent decision-making strategy for operating parameters is proposed based on the priority. Finally, experiments are performed by using the actual running data collecting from the industrial site. The originality of this study comes with establishing a fuzzy rule-based model to forecast the operating mode and designing an intelligent decision-making strategy based on priority to improve the abnormal operating mode. The result shows that the constructed forecast model of operating mode forecasts well in abnormal operating mode. The proposed intelligent decision-making strategy can effectively improve abnormal operating mode, which has a good application prospect in the iron ore sintering process.

中文翻译：

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基于异常工况预测的铁矿石烧结过程智能决策策略

摘要 铁矿石烧结过程的异常操作方式会产生产量低、质量差的烧结矿。确保烧结过程在正常操作模式下运行具有很高的经济价值。提出了一种基于铁矿石烧结过程异常工况预测的智能决策策略。首先，采用基于模糊规则的模型构建运营模式预测模型，通过单向方差分析选择输入。然后，提出了基于优先级的运行参数智能决策策略。最后，利用从工业现场采集的实际运行数据进行实验。本研究的独创性在于建立基于模糊规则的运行模式预测模型，并设计基于优先级的智能决策策略以改善异常运行模式。结果表明，所构建的工况预测模型对异常工况的预测效果较好。所提出的智能决策策略能够有效改善异常工况，在铁矿石烧结过程中具有良好的应用前景。