| 基于数据的流程工业关联报警的识别 | |
| 张益农 ; 周进 ; 杨帆 ; 何自凭 ; 吴奕男 ; ZHANG Yi-nong ; ZHOU Jin ; YANG Fan ; HE Zi-ping ; WU Yi-nan | |
| 2016-03-30 ; 2016-03-30 | |
| 关键词 | 报警 智能报警管理 关联性 拓扑 particle swarm algorithm non-uniform mutation multiple stages perturbation population diversity TP277 |
| 其他题名 | Data-based identification of the related alarms in the process industries |
| 中文摘要 | 报警在保证流程工业安全运行方面起到了重要的提示作用,但大量的报警信号也给操作员带来了困扰,使其无法抓住核心信息并作出判断,以便采取适当的行动。多个报警信号之间并非独立,而是存在有关联关系,提出了一种从历史报警数据中识别这些关系的方法。根据两个报警变量的报警发生时间,确定报警变量之间是否存在关联关系,并确定时间上的顺序和因果强度。基于每对报警变量之间的关联关系,构建多个报警之间的关联拓扑图。该方法可用于智能报警管理,为提高报警信息的指导价值提供技术支持。; Alarming plays an important role of reminding to ensure a safety operation in the process industries.However,overwhelming alarm signals bring confusion to operators and prevent them from obtaining key information and making decisions to take proper actions.Multiple alarm signals are not independent,there exists relationship among them.A method of identifying this relationship from historical alarm data is proposed.According to the occurrence time of two alarms,the relationship between them can be determined as well as the sequence and causal intensity.Based on the relationship between each pair of alarm variables,a relationship topology can be built to describe the relationship among multiple alarms.This method can be used for smart alarm management and provide technical support to improve the guiding value of alarm signals. |
| 语种 | 中文 ; 中文 |
| 内容类型 | 期刊论文 |
| 源URL | [http://ir.lib.tsinghua.edu.cn/ir/item.do?handle=123456789/147167]  |
| 专题 | 清华大学 |
| 推荐引用方式 GB/T 7714 | 张益农,周进,杨帆,等. 基于数据的流程工业关联报警的识别[J],2016, 2016. |
| APA | 张益农.,周进.,杨帆.,何自凭.,吴奕男.,...&WU Yi-nan.(2016).基于数据的流程工业关联报警的识别.. |
| MLA | 张益农,et al."基于数据的流程工业关联报警的识别".(2016). |
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