文档介绍：基于风险和状态决策的维修任务优化研究
王庆锋 1 幺子云 2 高金吉 1 刘文彬 1 罗方伟 3
(1. 北京化工大学化工安全教育部工程研究中心北京 100029;
100101;
100089)
摘要:中国过程工业设备管理模式基本上属于传统的故障维修管理模式,维修决策和维修任务通常是定性的、主观
的或经验的。大型石化旋转机械设备故障停机通常导致严重的安全、环境事故,而维修不足或者不能预测故障是事
故发生的原因。为了合理分配维修资源并提高设备的可靠性、可用性和安全性,建立了一种基于风险和状态的维修
决策系统。采用实时数据库、网络服务和面向服务的架构(Service Oriented Architecture , SOA)技术,综合集成以
可靠性为中心的维修(Reliability-centered Maintenance, RCM)、状态监测系统(condition monitoring system, CMS)
和生产执行系统(manufacturing executive system, MES)搭建了统一的数据结构和人机界面平台。在 RCM 风险评估
技术和状态监测技术基上利用风险等级、故障特征信号的劣化趋势来进行维修决策和维修任务优化。工程应用表明:
基于风险和状态的维修决策能够降低设备运行风险、提高设备的可靠性、可用性和安全性;领导层和工程师的强力
支持,针对工程师、操作人员和维修人员的专业培训和教育是基于风险和状态的维修模式成功转型的关键。
关键词:以可靠性为中心的维修;风险和状态;故障特征;维修任务优化
Risk & Condition Based Decision Making
and Maintenance Tasks Optimization Research
WANG Qingfeng1 YAO Ziyun2 GAO Jinji1 LIU Wenbin1 LUO Fangwei3
( Safety Engineering Research Center of Ministry o f Education, Beijing University of
Chemical Technology, Beijing 100029;
2. PetroChina Beijing Natural Gas Pipline Corporation Limited, Beijing 100101;
3. CNPC Research Institute of Safety &Environment Technology,Beijing 100089)
Abstract:Equipment management in process industry in China essentially belongs to the traditional breakdown
maintenance pattern, and the basic maintenance decision-making is subjective and qualitative. Equipment maintenance tasks
are mainly based on the empirical or qualitative method, and large petrochemical rotating equipment downtime often led to
serious security, environmental accidents, and inadequate maintenance or incapable of prediction the failure often resulted in
equipment failure. In order to rationally allocate maintenance resources and improve equipment reliability, availability and
safety, a kind of risk & condition based decision making model is established in this paper. Using real time database, web
service and Service Oriented Architecture (SOA) te