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Fault Detection and Recovery by Hybrid Petri Nets for Automated Drug Preparation Systems

机译:混合Petri网在自动药物制备系统中的故障检测与恢复

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This paper presents an event-based monitor that ensures timely and accurate detection and recovery of system task faults. The monitor model is based on first order hybrid Petri nets, i.e., Petri nets that make use of first order fluid approximation. The proposed fault detection technique relies on a modular framework, so that elementary monitors can be connected with other monitors to check more complex systems while avoiding the state space explosion problem. Moreover, a fault detection and recovery monitor is specified for a system devoted to the automated preparation of pharmaceutical drugs.
机译:本文提出了一种基于事件的监视器,可确保及时准确地检测和恢复系统任务故障。监控器模型基于一阶混合Petri网,即利用一阶流体逼近的Petri网。所提出的故障检测技术依赖于模块化框架,因此基本监视器可以与其他监视器连接以检查更复杂的系统,同时避免状态空间爆炸问题。此外,为专用于药物自动制备的系统指定了故障检测和恢复监视器。

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