工业过程报警管理研究进展

朱群雄; 高慧慧; 徐圆

doi:10.16383/j.aas.2017.c170101

工业过程报警管理研究进展

doi: 10.16383/j.aas.2017.c170101

朱群雄^1,2,,
高慧慧^1,2,,
徐圆^1,2, ,

1.
北京化工大学信息科学与技术学院北京 100029
2.
智能过程系统工程教育部工程研究中心北京 100029

基金项目:

国家自然科学基金 61573051

国家自然科学基金 61473026

详细信息

作者简介:
朱群雄北京化工大学信息科学与技术学院教授.主要研究方向为智能控制, 机器学习, 工业过程报警管理, 故障诊断.E-mail:zhuqx@mail.buct.edu.cn

高慧慧北京化工大学信息科学与技术学院博士研究生.主要研究方向为工业过程报警建模与优化, 人工神经网络及应用.E-mail:2014400141@mail.buct.edu.cn

通讯作者:
徐圆北京化工大学信息科学与技术学院副教授.主要研究方向为工业过程报警管理, 故障诊断与预测.E-mail:xuyuan@mail.buct.edu.cn

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- 被引次数: 0
出版历程
- 收稿日期: 2017-02-27
- 录用日期: 2017-05-06
- 刊出日期: 2017-06-20

A Survey on Alarm Management for Industrial Processes

ZHU Qun-Xiong^{1,2
,},
GAO Hui-Hui^{1,2
,},
XU Yuan^{1,2
, ,}

1.
College of Information Science and Technology, Beijing University of Chemical Technology, Beijing 100029
2.
Engineering Research Center of Intelligent Process Systems Engineering, Ministry of Education, Beijing 100029

Funds:

National Natural Science Foundation of China 61573051

National Natural Science Foundation of China 61473026

More Information

Author Bio:
Professor at the College of Information Science and Technology, Beijing University of Chemical Technology. His research interest covers intelligent control, machine learning, alarm management of industrial processes, and fault diagnosis

Ph. D. candidate at the College of Information Science and Technology, Beijing University of Chemical Technology. Her research interest covers alarm modeling and rationalization of industrial processes, artiflcial neural network and its application

Corresponding author: XU Yuan Associate professor at the College of Information Science and Technology, Beijing University of Chemical Technology. Her research interest covers alarm management of industrial processes, fault diagnosis and prediction. Corresponding author of this paper

摘要

摘要: 作为现代工业过程运行的首道保护层，报警系统对保障过程安全、可靠和高效生产起着举足轻重的作用.然而，目前大多数工业报警系统存在着“报警泛滥”这一问题，严重影响了报警系统的应有功能.本文结合工业过程特点和报警管理生命周期，总结了导致“报警泛滥”的主要原因，并依据这些原因，从报警建模与报警根源分析、报警阈值设计、报警优先级划分、报警类型识别与处理、报警系统性能评估等分类综述了报警管理关键技术研究进展、报警管理框架以及工业报警规范、报警管理软件与应用现状.最后，探讨了报警管理领域存在的难题和新挑战.
- 报警泛滥 /
- 报警管理 /
- 智能建模 /
- 报警设计 /
- 工业过程
Abstract: As the first protective layer of modern industrial processes, the alarm system plays a decisive role in ensuring safety, reliability and efficient production of the process. However, most of the current industrial alarm systems are suffering from the common issue "alarm flood", which seriously affects the required function of the alarm system. In this paper, according to the characteristics of industrial processes and alarm management life cycle, five main reasons leading to "alarm flood" are summarized; the state of the art of key technologies, systematic frameworks, specifications, software packages and application status about alarm management are reviewed in terms of alarm modeling and root-cause analysis, alarm limit design, alarm prioritization, alarm type identification and processing, and alarm system performance assessment. Finally, problems and new challenges in the field of alarm management are discussed.
- Alarm flood /
- alarm management /
- intelligent modeling /
- alarm design /
- industrial processes

HTML全文

图 1 报警管理生命周期

Fig. 1 Alarm management lifecycle

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图 2 过程保护层及其影响

Fig. 2 Layers of protection and their impact on the process

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图 3 安全金字塔结构

Fig. 3 Safety pyramid with typical historical data

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图 4 报警阈值独立设计与误报、漏报关系示意图

Fig. 4 Schematic diagram of relationships among isolated alarm limits, false alarm and missed alarm

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图 5 ROC曲线

Fig. 5 ROC curve

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表 1 报警管理生命周期各阶段概述

Table 1 Alarm management lifecycle stages

标号	名称	各个阶段工作、任务	输入	输出
A	理念	报警管理过程定义和报警管理要求规格文件制定	目标和标准	报警理念和报警管理要求规格文件
B	识别	确定潜在报警	过程危险分析报告、过程流程图等	潜在报警列表
C	合理化	合理化、分类、优先级划分、建档	报警理念和潜在报警列表	主报警库, 报警设计要求
D	详细设计	基本报警设计、人机交互界面设计、先进报警设计	主报警库, 报警设计要求	完整报警设计
E	实施	安装报警, 初始化测试, 初始化训练	完整报警设计, 主报警库	操作报警, 报警响应流程
F	运行	操作员对报警作出响应, 复习训练	操作报警, 报警响应流程	报警数据
G	维护	维护修理和替换, 定期测试	报警监控报告, 报警理念	报警数据
H	监控与评价	报警数据监控、性能评价	报警数据, 报警理念	报警监控报告, 变更
I	变更管理	授权报警添加、修改和删除	报警理念, 提出的变更	授权的报警变更
J	审核	报警管理过程的定期审核	标准、报警理念和审核协议	改进建议

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表 2 实际工业统计结果与EEMUA标准对比

Table 2 Comparison of performance metrics between real industry and benchmark

	EEMUA标准	石油天然气	石化	电力	其他
平均报警数(天)	144	1200	1500	2000	900
最大报警数(10min)	10	220	180	350	180

下载: 导出CSV

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工业过程报警管理研究进展

doi: 10.16383/j.aas.2017.c170101

通讯作者:
徐圆北京化工大学信息科学与技术学院副教授.主要研究方向为工业过程报警管理, 故障诊断与预测.E-mail:xuyuan@mail.buct.edu.cn

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A Survey on Alarm Management for Industrial Processes

Corresponding author: XU Yuan Associate professor at the College of Information Science and Technology, Beijing University of Chemical Technology. Her research interest covers alarm management of industrial processes, fault diagnosis and prediction. Corresponding author of this paper

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工业过程报警管理研究进展

doi: 10.16383/j.aas.2017.c170101

通讯作者: 徐圆 北京化工大学信息科学与技术学院副教授.主要研究方向为工业过程报警管理, 故障诊断与预测.E-mail:xuyuan@mail.buct.edu.cn

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A Survey on Alarm Management for Industrial Processes

Corresponding author: XU Yuan Associate professor at the College of Information Science and Technology, Beijing University of Chemical Technology. Her research interest covers alarm management of industrial processes, fault diagnosis and prediction. Corresponding author of this paper

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通讯作者:
徐圆北京化工大学信息科学与技术学院副教授.主要研究方向为工业过程报警管理, 故障诊断与预测.E-mail:xuyuan@mail.buct.edu.cn