عامل مبتنی بر چارچوب شبیه سازی برای ایمنی سیستم انتقادی
|کد مقاله||سال انتشار||تعداد صفحات مقاله انگلیسی||ترجمه فارسی|
|11445||2012||6 صفحه PDF||سفارش دهید|
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Publisher : Elsevier - Science Direct (الزویر - ساینس دایرکت)
Journal : Procedia Engineering, , Volume 29, 2012, Pages 1060-1065
Safety critical Systems often integrate multiple complex functions and must generally ensure safety. These requirements lead to a need for simulation system that provides a prototype system for evaluation. This article proposes an agent-based simulation framework to meet the challenges of designing and evaluating the performance of the safety critical system. The approach proposed represents each agent architecture including Agent communication interface, Reasoning, Modeling, domain knowledge set, Execution and human agent interface units. The agent maps the safety requirement using risk ordering. The whole simulation system composed of multiple agents. One case study shows that agent-based simulation can express the behavior and performance of the system as a whole, especially, safety attributes can be displayed.
In the real world, safety critical systems are being studied actively and extensively in both academia and industry because major failures lead to highly undesirable outcomes. After having realized such system, designers normally need to develop a prototype system for evaluation. Computer simulation is an attractive approach to evaluate real-world systems by means of imitating system operations numerically and computing various performance measures. A validated simulation system is a potentially valuable tool for comparing system alternatives. It is hard to build a simulation system that can represent the real system with the similar behavior or the attribution, especially, depict the safety attributes.
نتیجه گیری انگلیسی
This paper has introduced an agent-based simulation framework for safety critical system.The idea is to use the agent to model the physical and logical components of a safety critical system. The agent-based system showed very similar behavior and performance with the real system, it is confirmed in the experiment. The whole simulation system can be achieved by integrating the agent components into a multi-agent system. The way of building the model and the introduction of risk ordering, particularly,help maintain the safety property. This framework will play a useful role in the simulation field of safety critical system.