流程工业报警管理系统的研究与应用  

Study and Application of Process Industry Alarm Management System

作　　者：宗学军[1] 张明明[1] 

机构地区：[1]沈阳化工大学信息工程学院,沈阳110142

出　　处：《石油化工自动化》2015年第5期36-38,62,共4页Automation in Petro-chemical Industry

基　　金：辽宁省教育厅科技项目(编号:L2014162)

摘　　要：流程工业生产中,报警泛滥易造成操作人员的失察和误操作,导致人员伤亡、财产损失等严重后果。采用动态模糊聚类算法对流程工业报警系统进行合理分组,利用K-means算法确定聚类中心并对报警等级进行划分,对流程工业烟气脱硫系统的报警信息进行优化,验证了优化算法的有效性和实用性,实现了降低报警率的目的。In process industrial production, alarm flooding will easily cause operator＇s oversight and wrong operation.It will result in casualties, property damage, and so on serious consequences.The alarm information for process industry flue gas desulfurization system is being optimized through reasonable grouping for process industry alarm system by dynamic fuzzy clustering algorithm and clustering center determining and alarm level dividing with Kmeans algorithm.The effectiveness and practicability are validated for optimized algorithm.The purpose of reducing wrong alarm rate is achieved.

关 键 词：动态模糊聚类 K-MEANS算法 报警等级 误操作 

分 类 号：TP277[自动化与计算机技术—检测技术与自动化装置]