基于数据挖掘的合成氨过程优化和监测系统应用研究

根据多年从事过程工业优化经验,开发了一种基于数据挖掘技术的、综合性和图形化的、适用于合成氨过程优化和监测的系统软件。该软件集成了模式识别、人工智能、统计学习理论、数据库技术和领域知识等常用的过程工业优化方法。优化软件具有多方法融合、参数选择、自动建模、模型验证、模型更新、多模型构建以及在线优化监测等新颖的特点,能有效解决合成氨过程优化问题。优化软件分为离线版和在线版两个版本,分别用于离线优化建模和在线优化监测。该优化软件已在云南云维集团有限公司合成氨过程生产优化中取得了满意的效果,有望在化工过程优化和监测中得到广泛应用。

Applied Research on Data Mining Optimization and Monitoring System for Ammonia Synthesis Process

Based on years of experience in optimizing the process industry,a system software for synthetic ammonia process optimization and monitoring was developed based on data mining technology,integrated and graphical.The software integrated most of the modern optimization methods including database search,pattern recognition,artificial intelligence,statistical learning,and domain knowledge.The software had two versions：the off-line version and on-line version.The software had some exciting characteristics such as method fusion,feature selection,automatic model,model validation,model updating,multi-model building,and on-line monitoring,which contributed to solve optimization and monitoring problems of ammonia synthesis processes.The software is successfully applied to the ammonia synthesis process.It can be also expected that the software has great potential in chemical process optimization and monitoring.