核電廠數(shù)字化儀控系統(tǒng)動(dòng)態(tài)概率安全評價(jià)方法研究
發(fā)布時(shí)間：2018-09-03 11:15
【摘要】：動(dòng)態(tài)概率安全評價(jià)(PSA)方法是指在系統(tǒng)可靠建模時(shí)通過考慮系統(tǒng)演化的時(shí)間因素來解釋觸發(fā)或隨機(jī)邏輯事件之間耦合的方法,它能彌補(bǔ)傳統(tǒng)PSA方法的不足,更有效地驗(yàn)證數(shù)字化儀控系統(tǒng)的可靠性及安全性。我們對美國核管會(huì)報(bào)告NUREG/CR-6901指出的最適合分析數(shù)字化儀控系統(tǒng)可靠性的兩種方法——馬爾可夫/區(qū)間映射技術(shù)(Markov/CCMT)和動(dòng)態(tài)流圖機(jī)制(DFM)進(jìn)行研究。 本文先假設(shè)系統(tǒng)在滿功率工況運(yùn)行時(shí)發(fā)生主給水管道小破口事件,應(yīng)用Markov/CCMT機(jī)制對AP1000主給水簡化系統(tǒng)進(jìn)行PSA分析。在分析過程中,選取主給水泵和主給水調(diào)節(jié)閥作為失效設(shè)備,首先得到系統(tǒng)各個(gè)狀態(tài)之間的轉(zhuǎn)移概率,其次根據(jù)系統(tǒng)狀態(tài)考慮所有可能的失效路徑,并通過3KeyMaster仿真平臺(tái)建立的系統(tǒng)模型對這些路徑進(jìn)行模擬,之后基于模擬數(shù)據(jù)計(jì)算得到區(qū)間轉(zhuǎn)移概率,進(jìn)而得到頂事件——蒸汽發(fā)生高液位和低液位的概率。應(yīng)用Markov/CCMT機(jī)制可以避免丟失系統(tǒng)某些重要的失效情況,還可解決頂事件的競爭問題,并且得到系統(tǒng)可能發(fā)生事故的確切時(shí)間。 本文還考慮CPR1000主給水系統(tǒng)在滿功率工況下由于設(shè)備失效對蒸汽發(fā)生器液位所造成的影響,應(yīng)用DFM機(jī)制對其進(jìn)行PSA分析。首先選取系統(tǒng)關(guān)鍵的物理變量構(gòu)建DFM模型,同時(shí)基于CPR1000核電站全范圍仿真機(jī)平臺(tái)生成的數(shù)據(jù)建立決策表及劃分節(jié)點(diǎn)狀態(tài),分別進(jìn)行演繹分析和歸納分析。通過演繹分析,得到頂事件——蒸汽發(fā)生器發(fā)生高高液位的質(zhì)蘊(yùn)含項(xiàng)。分析質(zhì)蘊(yùn)含項(xiàng)可解釋造成頂事件的所有可能因素,同時(shí)結(jié)合設(shè)備的不同失效模式,可指導(dǎo)操作人員在事故發(fā)生前采取適當(dāng)措施引導(dǎo)相關(guān)參數(shù)向有利的方向演變,避免事故發(fā)生。歸納分析過程類似于進(jìn)行故障模式及影響分析(FMEA),可得到不同初始條件下對系統(tǒng)產(chǎn)生的影響,根據(jù)結(jié)果改進(jìn)系統(tǒng)設(shè)計(jì)以提高安全性能。 通過本文內(nèi)容的研究,我們掌握了Markov/CCMT和DFM機(jī)制的理論和方法應(yīng)用,可為開發(fā)自主知識(shí)產(chǎn)權(quán)的動(dòng)態(tài)PSA分析軟件提供理論基礎(chǔ)。
[Abstract]:Dynamic probabilistic security evaluation (PSA) is a method to explain the coupling between trigger and random logical events by considering the time factor of system evolution in reliable system modeling. It can make up for the shortcomings of traditional PSA method. More effectively verify the reliability and security of digital instrument control system. We study two methods of analyzing the reliability of digital instrument and control system-Markov / interval mapping (Markov/CCMT) and dynamic flow graph mechanism (DFM), which are most suitable for the reliability analysis of digital instrument and control system as pointed out by the NUREG/CR-6901 report of the American Nuclear Regulatory Commission. This paper first assumes that the small break event of the main water supply pipeline occurs when the system is running under the full power condition, and applies the Markov/CCMT mechanism to the PSA analysis of the AP1000 main water supply simplified system. In the process of analysis, the main feed water pump and the main water supply regulating valve are selected as the failure equipment, first, the transfer probability between the various states of the system is obtained, and then all possible failure paths are considered according to the system state. These paths are simulated by the system model established by the 3KeyMaster simulation platform, and then the interval transfer probability is calculated based on the simulation data, and the probability of high and low liquid level occurring in the top event-steam is obtained. The application of the Markov/CCMT mechanism can avoid the loss of some important failures of the system, solve the competition problem of the top event, and obtain the exact time when the system may occur an accident. In this paper, considering the influence of the equipment failure on the liquid level of the steam generator in the CPR1000 main feed water system under the full power condition, the PSA analysis is carried out by using the DFM mechanism. Firstly, the key physical variables of the system are selected to construct the DFM model. At the same time, based on the data generated by the CPR1000 nuclear power plant full-scope simulator platform, the decision table and node state are established, and the deductive analysis and inductive analysis are carried out respectively. Through deductive analysis, the content term of the top event-the high liquid level of the steam generator is obtained. The analysis of the qualitative implication term can explain all the possible factors causing the top event, and combined with the different failure modes of the equipment, it can guide the operator to take appropriate measures to guide the relevant parameters to change to a favorable direction before the accident occurs, and to avoid the accident. The process of induction and analysis is similar to that of fault mode and impact analysis (FMEA), can obtain the influence on the system under different initial conditions. According to the results, the system design is improved to improve the security performance. Through the research of this paper, we have mastered the theory and method application of Markov/CCMT and DFM mechanism, which can provide the theoretical basis for developing dynamic PSA analysis software of independent intellectual property rights.
【學(xué)位授予單位】：廈門大學(xué)
【學(xué)位級(jí)別】：碩士
【學(xué)位授予年份】：2014
【分類號(hào)】：TM623
本文編號(hào)：2219820
[Abstract]:Dynamic probabilistic security evaluation (PSA) is a method to explain the coupling between trigger and random logical events by considering the time factor of system evolution in reliable system modeling. It can make up for the shortcomings of traditional PSA method. More effectively verify the reliability and security of digital instrument control system. We study two methods of analyzing the reliability of digital instrument and control system-Markov / interval mapping (Markov/CCMT) and dynamic flow graph mechanism (DFM), which are most suitable for the reliability analysis of digital instrument and control system as pointed out by the NUREG/CR-6901 report of the American Nuclear Regulatory Commission. This paper first assumes that the small break event of the main water supply pipeline occurs when the system is running under the full power condition, and applies the Markov/CCMT mechanism to the PSA analysis of the AP1000 main water supply simplified system. In the process of analysis, the main feed water pump and the main water supply regulating valve are selected as the failure equipment, first, the transfer probability between the various states of the system is obtained, and then all possible failure paths are considered according to the system state. These paths are simulated by the system model established by the 3KeyMaster simulation platform, and then the interval transfer probability is calculated based on the simulation data, and the probability of high and low liquid level occurring in the top event-steam is obtained. The application of the Markov/CCMT mechanism can avoid the loss of some important failures of the system, solve the competition problem of the top event, and obtain the exact time when the system may occur an accident. In this paper, considering the influence of the equipment failure on the liquid level of the steam generator in the CPR1000 main feed water system under the full power condition, the PSA analysis is carried out by using the DFM mechanism. Firstly, the key physical variables of the system are selected to construct the DFM model. At the same time, based on the data generated by the CPR1000 nuclear power plant full-scope simulator platform, the decision table and node state are established, and the deductive analysis and inductive analysis are carried out respectively. Through deductive analysis, the content term of the top event-the high liquid level of the steam generator is obtained. The analysis of the qualitative implication term can explain all the possible factors causing the top event, and combined with the different failure modes of the equipment, it can guide the operator to take appropriate measures to guide the relevant parameters to change to a favorable direction before the accident occurs, and to avoid the accident. The process of induction and analysis is similar to that of fault mode and impact analysis (FMEA), can obtain the influence on the system under different initial conditions. According to the results, the system design is improved to improve the security performance. Through the research of this paper, we have mastered the theory and method application of Markov/CCMT and DFM mechanism, which can provide the theoretical basis for developing dynamic PSA analysis software of independent intellectual property rights.
【學(xué)位授予單位】：廈門大學(xué)
【學(xué)位級(jí)別】：碩士
【學(xué)位授予年份】：2014
【分類號(hào)】：TM623
【參考文獻(xiàn)】
相關(guān)期刊論文 前1條
1 余少杰;趙軍;童節(jié)娟;;DFM在人員可靠性分析中的應(yīng)用[J];核動(dòng)力工程;2011年04期
，本文編號(hào)：2219820
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