基于数据过滤的化工过程重复报警处理策略

Data filtering based alarm processing strategy for repeating alarms

在化工过程报警系统中,错误或无效报警的过多出现给操作员正常操作带来了严重干扰。而重复报警又是错误或无效报警中最常见的表现形式,减少重复报警对于化工装置正常运行具有重要意义。该文在报警自动抑制的基础上,引入了基于数据过滤的报警限最优化设计,提出了基于数据过滤的报警自动抑制策略来处理重复报警。报警自动抑制与数据过滤的结合,解决了长时间抑制可能导致的信息缺失问题。算例数据分析结果验证了该方法的可用性。

False or nuisance alarms in chemical process alarm systems have an adverse effect on normal operations. Repeating alarms are the most common form of false or nuisance alarms, so chemical plant operations need to reduce repeating alarms to improve the performance of alarm systems. This paper introduces an optimal alarm limit design method based on data filtering and an alarm processing strategy called alarm auto shelving. The combination of alarm auto-shelving and filtering reduces the information loss problem caused by long shelving periods. A case study is used to verify the usability of this strategy.