基于SVR模型预测超薄浮法玻璃气泡数量的研究

Prediction of the Number of Bubbles in Ultra-thin Float Glass Based on SVR Model

针对超薄浮法玻璃生产过程存在反馈滞后大、生产复杂、产品质量难以精确控制的情况以及气泡质量缺陷严重影响产品应用的问题,本文采用SVR模型对超薄浮法玻璃气泡数量进行预测,结合实际生产数据对模型进行验证,并探究熔化时滞时间以及特征属性对模型精度的影响,采用Relief-F算法结合实际建模结果筛选出对气泡产生有影响的重要特征属性。研究结果表明,SVR模型能精确预测玻璃气泡数量,为后续生产提供决策支持;熔窑池底温度与熔窑碹顶温度对超薄浮法玻璃生产中气泡的产生有较大影响。

Due to the many problems in the production of ultra-thin float glass,such as long feedback delay,complicated process,difficult control of product quality and troublesome bubble defect which has serious influence on the application of the product,the SVR model is established to predict the number of bubbles in ultra-thin float glass and its verification has been carried out by actual production data.The effect of time lag and characteristic attributes of melting process on the accuracy of the model was investigated.The Relief-F algorithm combined with the actual modeling results is applied to sift out the important characteristic attributes that have an impact on the bubble generation.The results show that the SVR model is capabale to accurately predict the number of glass bubbles and provide decision support for subsequent production.The temperature of the bottom and the crown of the glass melting furnace have a greater impact on the generation of bubbles in the production of ultra-thin float glass.