A modular web framework for socio-CPS-based condition monitoring

Hans Fleischmann, Johannes Kohl, J. Franke
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引用次数: 11

Abstract

The increasing complexity of production plants in the context of Industry 4.0 poses new challenges with regards to technical maintenance. In industrial domains, Condition Monitoring Systems (CMS) enable fault-tolerant, predictable production systems. Unfortunately, CMS development is challenging due to the distribution of computational tasks among heterogeneous industrial Internet of Things and Services (IoTS)-architectures. It is usually started from scratch, which is time-consuming and error-prone. In times of IoTS the employee as a maintenance worker, who ensures the availability of production machinery, is still important. In order to address these challenges, we propose a modular framework for web-based condition monitoring and fault diagnostics. The implementation relies on technologies such as Hypertext Markup Language 5 (HTML5), JavaScript (JS) and node.j s as well as industrial internet communication standards. Finally, verification and validation are performed in a case study on a modular robot cell for the inspection of electronic assemblies.
基于社会cps的状态监测的模块化web框架
在工业4.0的背景下,生产工厂的复杂性日益增加,对技术维护提出了新的挑战。在工业领域,状态监测系统(CMS)可以实现容错、可预测的生产系统。不幸的是,由于计算任务在异构工业物联网和服务(iot)架构之间的分布,CMS的开发具有挑战性。它通常从头开始,这既耗时又容易出错。在物联网时代,员工作为维护人员,确保生产机器的可用性,仍然很重要。为了应对这些挑战,我们提出了一个基于web的状态监测和故障诊断的模块化框架。实现依赖于超文本标记语言5 (HTML5)、JavaScript (JS)和node等技术。以及工业互联网通信标准。最后,在一个用于电子组件检测的模块化机器人单元的案例研究中进行了验证和验证。
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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