流程工业信息化系统中为保证安全生产会设置许多报警参数,这样在信息系统数据库中存在了大量的报警记录。本文从数据挖掘的角度出发,对报警记录运用关联规则算法模型挖掘,找出多参数同时报警的关联规则[1],并根据参数报警的先后顺序,将报警规则作为重点参数报警的原因分析指导和预警条件[2],使运行人员对参数报警有更深入的认识,指导系统和设备的安全运行。 Process industrial information system to ensure safety in production will set many alarm parameters, so there is a large number of alarm records in the information system database. In this paper, from the perspective of data mining, we use association rules algorithm model mining to find out the association rules of multi-parameter alarm at the same time [1], and according to the order of the parameter alarms, the alarm rules as the key parameters of the alarm analysis and guidance And early warning conditions [2], to enable operators to have a deeper understanding of parameter alarms and guide the safe operation of systems and equipment.