ABB模块DSQC345B 3HAB8101-2/04B整流器

　　在工业 4.0 的背景下，针对大型复杂工业系统的密集研发 (r&d) 工作表明，安全性和可靠性问题带来了重大挑战。在线运行过程中，系统性能下降不仅会造成经济损失，还会带来安全隐患。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，准确报告故障存在的事实和根本原因。然而，修复它的紧迫性以及需要多大程度的容错、维护和故障恢复仍然没有答案。需要进一步分析来检测到的故障对全厂性能的影响。

　　在本文中，为了更全面、更准确地描述全厂运行状态、常用性能指标的作用、的性能方法，以及以性能为导向的全厂研究了全过程监控技术。在此基础上，提出了另一种直接的技术路线，嵌入到网络-物理-社会系统框架中。

　　本文重新思考了全厂过程监控的技术路线，并强调了以绩效体系建设和开发以绩效为导向的故障诊断方法为核心的替代研究路线。考虑到大规模工业中更多的实际问题，特别是应对自治单位和人类参与带来的挑战，本文确定并详细说明了先的研究方向和开放性问题：

　　由和网络支持的全面运营和维护透明度；

　　主动补偿因安全漏洞引发的安全缺陷；

　　数据驱动和基于知识的自适应诊断；

　　弹性控制和全生命周期管理；

　　与安全设计的全面兼容性；

　　其他辅助关键技术。

　　简而言之，可以在本路线图文件中找到关键研究问题、未来研究方向以及对“全厂过程监控”未来愿景的展望。

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　　the intensive research and development (r&d) 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 deion 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.

　　the paper rethinks the technical route of plant-wide process monitoring and highlights the alternative research route where the construction of performance evaluation systems and the development of performance-oriented fault diagnosis approaches play the central role. with more practical issues in large-scale industries taken into consideration, especially to deal with the challenges introduced by the autonomous units and the participation of humans, top-priority research directions and open questions are identified and detailed in the paper:

　　full-scale operational and maintenance transparency supported by the evaluation & assessment network;

　　active compensation of the safety defects induced by the security breaches;

　　data-driven and knowledge-based adaptive diagnosis;

　　resilient control and full life-cycle management;

　　ground-up compatibility with the security design;

　　other auxiliary key technologies.

　　in brief, the key research questions, the future research directions, and an outlook about the future vision of “plant-wide process monitoring” can be found in this roadmap paper.