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Knowledge-based software design for Defense-in-Depth risk monitor system with the preliminary study for AP1000 application MA Zhanguo1, and YANG Ming1 1. College of Nuclear Science and Technology, Harbin Engineering University, 150001, Harbin, Heilongjiang, China (mazhanguo2013@163.com, myang.heu@gmail.com) Abstract:  A new risk monitor system was proposed not only to prevent severe accident in daily operation but also serve to mitigate the radiological hazard after severe accident consequences. The configuration of the proposed risk monitor system is the plant Defense-in-Depth (DiD) risk monitor system and the reliability monitors for the subsystems of the nuclear power plant. The software for the plant DiD risk monitor system was designed based on the object oriented module and then the knowledge-based software was developed utilizing the Unified Modeling Language (UML). Currently there are mainly two functions in the developed plant DiD risk monitor software that are knowledge-based editor which is used to model the system in a hierarchical manner and the interaction simulator that simulates the interactions between the different actors in the model. In this paper, a model for playing its behavior is called an Actor which is modeled at the top level. The passive safety AP1000 power plant was studied and the Small Break LOCA (SBLOCA) design basis accident transient is modeled using the plant DiD risk monitor software. Each plant DiD risk model for the sub system is modeled based on the simulated transient sequences. Furthermore, the simulation result is shown for the interaction between the actors which are defined in the plant risk monitor system as PLANT actor, OPERATOR actor and SUPERVISOR actor. This paper shows that it is feasible to model the nuclear power plant knowledge base using the software modeling technique. The software can make the large knowledge base for the nuclear power plant with small effort. Keyword: risk monitor; plant Defense-in-Depth risk monitor; knowledge base small break LOCA
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