电解铝生产环境负荷分析和预测模型研究

利用生命周期评价的分析方法,对铝电解生产过程中资源消耗、能源消耗和污染物排放进行了分析,采用等效环境指数计算了铝电解生产过程中的环境负荷,并分析了各因素对环境负荷的影响,其中氟化盐的投入量对环境负荷影响较大.运用神经网络对铝电解生产过程的环境负荷进行预测,在负荷预测过程中,首先对样本数据进行归一化处理,然后采用BP算法对神经网络进行训练.最后用训练好的网络进行预测,将预测结果与实际数据进行比较,证明具有较好的预测效果.

Analysis on Environmental Load for Electrolytic Aluminum Process and Study on Predication Model

LCA method is applied to analyze the resource and energy consumption and pollutant emissions in electrolytic aluminum process. The environmental load in the electrolytic aluminum process is calcuhted by using equivalent environmental index and the effects d every factors on environmental load are analyzed, in which we know that the input volume of fluorinated salt largely effects the eenvironmental load. Environmental load is predicted with neural networks. In the prediction process, sample data is firstly unitarily treated; then the network is trained with BP arithmetic method; and finally the well trained network is used to predict, the prediction result is compared with the primary data, which proves that it has good prediction effect.