A Preliminary Prototype Based on Biological Mimicry for Hardware Data Acquisition

Tao Zheng, Zuyao Meng, Qing Gu, Fei Huang, M. Gidlund
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Abstract

Fault diagnosis in Industrial Internet of Things and Cyber-Physical Systems is essential, especially for the rapidly developing 5G and coming 6G technology. Hardware working status is the basis for fault diagnosis. However, in actual engineering, accurately locating faults is not easy for hardware engineers. In this paper, a prototype based on FPGA is developed to connect with the target field device in data acquisition. This prototype aims to extract the underlying data information in a real-time and unattended manner like the mimicry of natural immunity. The preliminary experiment results from the prototype can be used to guide practice through providing real-time data support for hardware troubleshooting and spontaneous and intelligent analysis.
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基于生物拟态的硬件数据采集初步原型
工业物联网和信息物理系统的故障诊断是必不可少的,特别是对于快速发展的5G和即将到来的6G技术。硬件的工作状态是进行故障诊断的依据。但在实际工程中,硬件工程师很难准确定位故障。本文开发了一种基于FPGA的数据采集样机,用于与目标现场设备进行数据采集。该原型旨在像模仿自然免疫一样,以实时、无人值守的方式提取底层数据信息。样机的初步实验结果可为硬件故障排除和自发智能分析提供实时数据支持,指导实践。
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