Development of a Risk Monitoring and Assessment System for Nuclear Power Plant
(0) Nuclear Power Plant is a large and complex industrial system with the potential risk of release of radioactivity to the environment caused by accidents or human errors. Risk management is therefore crucial to ensuring nuclear safety and economic issues. This paper proposes an operator support system for on-line monitoring and evaluating risks in nuclear power plant. The proposed system is developed under a structured simulation framework based on Multilevel Flow Models (MFM), which is a goal-oriented functional modeling method invented by M. Lind. The proposed system consists of the following five major modules: 1) MFM Builder: is an intelligent graphic tool for quickly developing MFM models by some simple procedures such as symbol click, copy, paste and delete. 2)Condition Monitoring Module, monitors the status of nuclear power plant. If the operation condition or system configuration changed, MFM model will be updated or altered in order to reflect these changes. 3) Fault Diagnosis Module, automatically detects and identifies faults based on the fault diagnosis and alarm analysis algorithms proposed by Larsson and Artificial Neural Network (ANN). 4) Risk Monitor Module, is based on an accurate quantitative algorithm for system reliability analysis developed by authors, which is based on MFM and can be used for calculating the successful/failure possibilities of the target system according to the operating conditions. When the risk level of the target system is beyond the preset limitation, the module will provide a prompt to the operators and ask them to pay attention to the system status. It is also very useful for reducing human errors if the operators evaluate their operating procedures before they initiate action. 5) Operation Navigation Module, provides suitable operating procedures in normal and abnormal operation conditions. The proposed operator support system is useful for enhancing the operators insight and understanding of nuclear power plant at a deeper level and therefore is helpful for reducing and avoiding human errors.
Risk Monitoring and Assessment Fault Diagnosis Reliability Analysis System Modelling
Yang Ming Yoshikawa Hidekazu Zhang Zhijian Yan Shengyuan
College of Nuclear Science and Technology, Harbin Engineering University, Harbin, China College of Nuclear Science and Technology, Harbin Engineering University, Harbin, China Symbio Commu College of Mechanical and Electrical Engineering, Harbin Engineering University, China
国际会议
ISSNP2008、CSEPC、ISOFIC2008(第二届21世纪和谐核电系统国际会议、第四届电厂控制中认知系统工程方法国际会议暨第三届未来核电厂仪表与控制国际会议)
哈尔滨
英文
645-645
2008-09-08（万方平台首次上网日期，不代表论文的发表时间）