通过过程和环境数据的融合实现数据驱动的早期泄漏检测和定位的整体监测概念

Kristian Kasten, Caroline Charlotte Zhu, Joachim Birk, Steven X. Ding
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引用次数: 0

摘要

过程工业中的泄漏风险对环境至关重要,具有潜在的危害。许多过程监控的技术和方案都是从理论上发展起来的,并在工业环境中得到了应用。然而,大多数方法仍然侧重于对过程及其环境的单独监视。主要的挑战是缺乏关于泄漏的先验知识。本文介绍了一种将环境监测与嵌入式过程相结合的新方法。在一个真实工厂环境中的工业用例上的应用说明了这种组合监测方法的成功,以及对早期泄漏进行定位的决策支持。
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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An integral monitoring concept for data-driven detection and localization of incipient leakages by fusion of process and environment data

The risk of leakages in process industry is environmentally critical and potentially hazardous. Many technologies and schemes for process monitoring are theoretically developed and applied in an industrial context. Nevertheless, most approaches still focus on individual monitoring of a process and its environment. The major challenge is the lack of a priori knowledge about the leakage. This paper introduces a new approach combining monitoring of the environment and its embedded process. The application on an industrial use-case in a real plant environment illustrates the success of this combined monitoring approach as well as a decision support to localize an incipient leakage.

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