The Scheme and System Architecture of Product Quality Inspection based on Software-Defined Edge Intelligent Controller (SD-EIC) in Industrial Internet of Things

Pengfei Hu, Chunming He, Yiming Zhu
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引用次数: 2

Abstract

The Industrial Internet of Things (IIoT) enables the improvement of the productivity and intelligent level of factory. The procedure of product quality inspection has generally adopted machine intelligence algorithms instead of manual operation to improve efficiency. In this paper, we propose a product quality inspection system scheme based on software-defined edge intelligent controller (SD-EIC). By adopting the software definition and resource virtualization technologies, the hardware platform of SD-EIC is designed to support the real-time control tasks and non-real-time edge computing tasks at the same time. To this end, we propose the scheme and architecture of product quality inspection system based on SD-EIC. Multiple virtual controllers and virtual edge computing nodes are constructed on a set of SD-EIC hardware platform to realize the integrated deployment of the real-time control for terminal devices and the AI model reasoning of product defect recognition algorithm based on machine vision respectively. In addition, the management and control scheme of product quality inspection system based on industrial information model is proposed. By constructing the semantic based digital twin information model of terminal device, the flexible adjustment and parameter configuration of terminal device are realized to meet the demands of flexible production and manufacturing. The proposed product quality inspection system solution can effectively improve the utilization of hardware resources and the efficiency of product quality inspection, and reduce the overall deployment cost of the system. It can flexibly adapt to a variety of different industrial scenarios.
工业物联网中基于软件定义边缘智能控制器(SD-EIC)的产品质量检测方案及系统架构
工业物联网(IIoT)使工厂的生产力和智能化水平得以提高。产品质量检验过程普遍采用机器智能算法代替人工操作来提高效率。本文提出了一种基于软件定义边缘智能控制器(SD-EIC)的产品质量检测系统方案。SD-EIC硬件平台采用软件定义和资源虚拟化技术,同时支持实时控制任务和非实时边缘计算任务。为此,提出了基于SD-EIC的产品质量检测系统的方案和体系结构。在一套SD-EIC硬件平台上构建多个虚拟控制器和虚拟边缘计算节点,分别实现对终端设备的实时控制和基于机器视觉的产品缺陷识别算法的AI模型推理的集成部署。此外,提出了基于工业信息模型的产品质量检测系统管理与控制方案。通过构建基于语义的终端设备数字孪生信息模型,实现终端设备的灵活调整和参数配置,以满足柔性生产制造的需求。提出的产品质量检测系统解决方案可有效提高硬件资源利用率和产品质量检测效率,降低系统整体部署成本。能够灵活适应各种不同的工业场景。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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