湛钢蒸汽智慧预测与优化决策系统开发及实践

Development and practice of intelligent prediction and optimal decision system for steam system in Zhansteel

针对湛江钢铁蒸汽系统不确定性因素多、压力频繁大幅波动等运行特征,借助大数据分析以及智能自学习技术,开发了湛钢智慧蒸汽预测和优化决策系统,以辅助调度人员实现蒸汽系统的优化运行。实施与应用效果表明,该决策系统可实现蒸汽系统压力波动下降75%,低压蒸汽放散降低95%,海水淡化制水成本降低30%。

Considering the operation characteristics of the steam systems in Zhanjiang steel plant,e.g.,large amounts of uncertain factors,frequent fluctuations of pipeline pressure,this paper presents an intelligent prediction and optimal decision-making software system for the steam networks based on big data analysis and intelligent self-learning technology,to assist the workers to make the steam system operate in an optimal level.The application effects show that the decision-making system can reduce the pressure fluctuation of the steam system by 75%,the low-pressure steam emission by 95%,and the cost of seawater desalination by 30%.