循环冷却水系统腐蚀速率的预测模型

摘要

After analyzing the operation data of circulating cooling water system in a petrochemical company,the corrosion rate-related water quality parameters were selected to build corrosion rate prediction model based on BP neural network which boasting of a good non-linear ability. The prediction results show that this model is applicable.%通过对某石化公司循环冷却水系统生产运行数据的分析,选取了对腐蚀速率影响较大的水质参数,借助神经网络良好的非线性能力,基于BP神经网络建立了腐蚀速率的预测模型.利用该模型对循环冷却水系统一定周期腐蚀速率的预测结果较好.