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Introducing a cloud based architecture for the distributed analysis of Real-Time Ethernet traffic

机译:引入基于云的体系结构以进行实时以太网流量的分布式分析

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The use of industrial communication protocols based on Real-Time Ethernet (RTE) standards is completely replacing traditional industrial fieldbuses. As usual, when a technology becomes mature, the need of efficient diagnostic and maintenance tools quickly raises. Very often, following the paradigm of Industry 4.0, the most effective diagnostic systems are today based on distributed, cloud-centric, architectures and artificial intelligence. However, the distributed analysis of RTE systems is challenging, considering the plurality of protocols and the stringent cost constrains which are common in industry. In this paper, a new architecture for the distributed analysis of RTE networks is proposed, leveraging on distributed probes that send traffic samples to Matlab cloud for remote analysis. The paper also proposes a software conversion tool to adapt general PCAP files captured by popular sniffers (e.g. Wireshark) into MAT file for easier Matlab elaboration. Last, a test bench for characterization (in terms of transfer delays) of the first part of the chain for RTE traffic sampling is described. The results show that in less than 10 seconds it is possible to transfer chunks of RTE traffic data (captured on industrial networks with hundreds of real-time devices) directly to the cloud and to have them converted in Matlab format.
机译:基于实时以太网(RTE)标准的工业通信协议的使用完全替代了传统的工业现场总线。通常,当技术成熟时,对高效诊断和维护工具的需求迅速增加。通常,按照工业4.0的范例,当今最有效的诊断系统基于分布式,以云为中心的体系结构和人工智能。然而,考虑到多种协议和严格的成本约束,RTE系统的分布式分析具有挑战性,而这在工业上是很常见的。本文提出了一种新的RTE网络分布式分析架构,该架构利用了将流量样本发送到Matlab云进行远程分析的分布式探针。该论文还提出了一种软件转换工具,可以将流行的嗅探器(例如Wireshark)捕获的通用PCAP文件改编为MAT文件,以简化Matlab的制作过程。最后,描述了用于表征RTE流量采样的链的第一部分(根据传输延迟)的测试平台。结果表明,可以在不到10秒的时间内将大块RTE流量数据(捕获在具有数百个实时设备的工业网络上)直接传输到云中,并将其转换为Matlab格式。

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