基于风险和状态决策的维修任务优化研究  

Maintenance Tasks Optimization Research Based on Risk & Condition Decision Making

作　　者：王庆锋[1] 么子云 高金吉[1] 刘文彬[1] 罗方伟 

机构地区：[1]北京化工大学化工安全教育部工程研究中心,北京100029 [2]中石油北京天然气管道有限公司,北京100101 [3]中石油安全环保技术研究院,北京100089

出　　处：《机械科学与技术》2011年第11期1855-1863,共9页Mechanical Science and Technology for Aerospace Engineering

基　　金：中国国家支撑计划项目(2006BAK02B02);北京化工大学研究生科研创新基金项目(09Me003)资助

摘　　要：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技术,综合集成以可靠性为中心的维修、状态监测系统和生产执行系统搭建了统一的数据结构和人机界面平台。基于RCM风险评估和状态监测技术,利用风险等级、故障特征信号的劣化趋势实现了基于风险和状态的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是基于风险和状态的维修模式成功转型的关键。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） technology,a data framework is developed to provide a unified data structure and man-machine interface,which integrates Reliability-centered Maintenance（RCM）,condition monitoring system（CMS） and manufacturing executive system（MES） together.Based on the technology of RCM and condition monitoring,the risk rank and degradation trend of fault characteristics are used to support the decision-making and to optimize maintenance tasks.The result of an engineering case shows that the maintenance strategy based on the risk and condition prediction can lower operation risk of equipment,and can enhance equipment reliability,availability and safety.Experiences show that the key factors affecting the successful transition to a more risk condition informed approach include firm support from both the manager and the engineers as well as education and training for engineers,operators and maintenance staffs.

关 键 词：风险和状态 以可靠性为中心的维修 故障特征 维修任务优化 

分 类 号：TP277[自动化与计算机技术—检测技术与自动化装置]