基于fpga的可靠视频传感器

G. Alkady, M. Rentschler, R. Daoud, H. Amer, Hadeer Ahmed, Hassan H. Halawa
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引用次数: 4

摘要

近年来,基于fpga的NCS应用得到了广泛的应用。工业环境中存在大量的电磁干扰,可能诱发瞬态和永久故障。因此,需要基于FPGA的容错NCS应用。本文介绍了一种由S2A体系结构和In- loop体系结构通过以太网交换机相互连接而构成的网络控制系统模型。该模型的S2A部分是一个基于fpga的视频传感器网络,需要防止瞬态故障。文献中提到了几种用于保护的容错技术。研究了热备和筛出两种容错技术。故障模型为seu (Single Event Upsets)。使用动态部分恢复。可靠性计算采用马尔可夫模型。结果表明,尽管筛出技术比热备用更可靠,但可能存在可靠性差异无法证明额外成本的情况。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
FPGA-based reliable video sensor in NC
Recently, FPGA-based NCS applications have been widely used. Industrial environments have a lot of electromagnetic interference which may induce transient and permanent faults. As a result, Fault-Tolerant FPGA based NCS applications are required. In this paper, an NCS model composed of a combination of S2A architecture and In-Loop architecture connected to each other through Ethernet switch, is described. The S2A part of the model is an FPGA-based video sensor network which requires protection against transient faults. Several Fault-Tolerant techniques are mentioned in the literature for protection. Two Fault-Tolerant techniques are under study which are Hot Standby and Sift-Out. The fault model used is Single Event Upsets (SEUs). Dynamic Partial Recovery is used. Markov Models are used for reliability calculations. Results show that even though the Sift-Out technique is more reliable than Hot Standby, there may be situations where the difference in reliability cannot justify the extra cost.
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