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Design Of Risk Monitor Based On Cloud Computing And Study Of Key Technology

Posted on:2014-01-07Degree:DoctorType:Dissertation
Country:ChinaCandidate:F WangFull Text:PDF
GTID:1222330398464296Subject:Nuclear science and engineering
Abstract/Summary:PDF Full Text Request
Nuclear safety is the lifeblood of the development of nuclear energy. Probabilistic Safety Analysis (PSA) plays a significant role in the nuclear power plant. Risk monitor is a real-time analysis tool to determine the point-in-time risk based on actual plant configuration, which is an important application of PSA. Risk monitor can also evaluate schedules’feasibility and adjust them to avoid the risk peaks and optimize the Technical Specifications (TS), which can improve the safety and economics of nuclear energy.Based on the study of the development of risk monitor, two problems were found. The first one was that most the architecture of risk monitors were based on single computer, Clinet/Server(C/S) or Browser/Server(B/S), which cannot be used conveniently and maintained easily and can also lead to be lack of resource because of large-scale computing. The other was that risk monitor cannot collaborative with other systems in nuclear power plant, which added the staff’s workload and affected the universal use. In additional, the speed of risk monitor can not satisfy with the users’need.The target of the study was to design a risk monitor characterized with real-time, quick, safety and friendly. The system’s structure, architecture and database were designed combined with web technology. Then two key and difficult problems were studied and implemented, one was computing’s accuracy and speed, the other was the system’s ability interactive with users. To solve them four steps were adopted.(1)Calculation flow for on-line computing, maintenance plan optimizing and professional risk analysis suited in risk monitor was designed;(2)Multi-core parallel computing and distributed cloud computing technology were used in accelerating the system’s speed;(3)Optimization based on Oracle, database connection pool technology and cut set files stored method based on binary feature values was introduced into improving the database’s performance;(4) Risk profile and Gantt chart were used to present risk to users and interactive with them about maintenance plan.Base on the key technology’s study, RiskAngel3.0was implemented and tested to prove its accuracy. Then the RiskAngel3.0’s application in the TQNPP (Third Qinshan Nuclear Power Plant) was introduced.
Keywords/Search Tags:Probabilistic Safety Analysis, Risk monitor, Cloud computing, Real-time risk analysis, Interactive
PDF Full Text Request
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