水泥生料立磨粉磨生产过程的ELM模型

ELM Model of Cement Raw Material Vertical Mill Grinding Production Process

为了降低水泥生料立磨粉磨生产过程的能耗,提高系统的稳定性和生产效率,提出了采用极限学习机网络建立水泥生料立磨粉磨生产过程的生产指标预测模型。结合某水泥厂水泥生料立磨粉磨生产过程的实测参数数据,对模型进行了训练和测试。试验结果表明,该建模方法实现了立磨粉磨过程关键指标参数的在线预估,对立磨生料粉磨生产过程中相关参数的优化设定和降低生产过程的能耗具有一定的参考意义。

In order to reduce the energy consumption in cement raw material vertical mill grinding production process, and enhance the stabihty of the system and the production etSciency, it is proposed that by adopting extreme learning machine （ ELM ） network to establish the prediction model of production quotas for such process. Combining with the measured parameteric data of the process in certain cement plant, the model is trained and tested. The experimental results show that the modeling method proposed is effective for implementing online preditive estimation of critical parameters for vertical mill grinding process, in addition, it posseses certain reference significance for optimizing the parameters for raw material veritical mill grinding process and reducing energy consumption of the production process.