The intensive research and development efforts directed towards large-scale complex industrial systems in the context of Industry 4.0 indicate that safety and reliability issues pose significant challenges. During online operation, system performance degradation will lead, not only to economic losses, but also potential safety hazards. In the existing research and technical routes, the target of the fault diagnosis systems is to trigger alarms to report the fact of the existence of malfunctions as well as the underlying reasons accurately. However, it remains unanswered how urgent it is to fix it, and what degrees of fault-tolerance, maintenance, and fault recovery are needed. Further analyses are necessary to evaluate the impact of the detected fault on the plant-wide performance. In this article, to enable a more comprehensive and precise description of the plant-wide operational status, the roles of the commonly used performance metrics, the state-of-the-art performance evaluation approaches, as well as the performance-oriented and plant-wide process monitoring techniques are investigated. On this basis, an alternative straightforward technical route, embedded in the cyber-physical-social system framework is proposed. A roadmap including the key research questions, the future research directions, and an outlook about the future vision is presented.

中文翻译：

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在工业4.0中进行性能监督的全厂过程监控：路线图

在工业4.0中针对大型复杂工业系统的深入研究和开发工作表明，安全性和可靠性问题构成了重大挑战。在线运行期间，系统性能下降不仅会导致经济损失，而且还可能导致安全隐患。在现有的研究和技术路线中，故障诊断系统的目标是触发警报以准确报告故障存在的事实及其根本原因。但是，仍然没有答案来解决它的紧迫性以及需要什么程度的容错，维护和故障恢复。需要进一步的分析来评估检测到的故障对整个工厂性能的影响。在这篇文章中，为了能够更全面，更准确地描述整个工厂的运行状况，常用绩效指标的作用，最新的绩效评估方法以及面向绩效和整个工厂的过程监控技术进行了调查。在此基础上，提出了一种嵌入网络物理社会系统框架中的替代性简单技术路线。提出了包括关键研究问题，未来研究方向以及对未来愿景的展望的路线图。提出了另一种直接的技术路线，该路线已嵌入网络物理社会系统框架中。提出了包括关键研究问题，未来研究方向以及对未来愿景的展望的路线图。提出了另一种直接的技术路线，该路线已嵌入网络，物理，社会系统框架中。提出了包括关键研究问题，未来研究方向以及对未来愿景的展望的路线图。