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Towards distributed intelligent sensor and information fusion

机译:迈向分布式智能传感器与信息融合

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Recent industrial applications are implemented in a modular way, resulting in flexibility during the whole life cycle, i.e., setup, operation, and maintenance. This applies especially to larger applications like logistic, production, and printing processes. Their modular character is resulting from the constantly increasing complexity of such installations, which makes their supervision for securing reliable operation a difficult task: the data of hundreds (if not thousands) of signal sources must be acquired, communicated, and evaluated for system diagnosis. In this contribution we summarize the challenges arising in such applications and show that distributed sensor and information fusion for modular self-diagnosis tackles these challenges. Here, we propose an innovative distributed architecture encompassing intelligent sensor nodes, self-configuring real-time communication networks, and a suitable sensor and information fusion system for condition monitoring. New challenges arise in the context of distributed information fusion systems, which are identified and to which an outlook on future solutions is provided. A number of these solutions have already been discovered, implemented, and are evaluated in the context of a demonstrator, which resembles a real-world printing application. (C) 2015 Elsevier Ltd. All rights reserved.
机译:最近的工业应用以模块化的方式实现,从而在整个生命周期(即设置,操作和维护)中提供了灵活性。这尤其适用于大型应用程序,例如物流,生产和打印过程。它们的模块化特性来自于此类设备不断增加的复杂性,这使得对其进行监控以确保可靠的操作成为一项艰巨的任务:必须获取,传达和评估数百个(如果不是数千个)信号源的数据,以进行系统诊断。在本文中,我们总结了在此类应用中出现的挑战,并表明用于模块化自诊断的分布式传感器和信息融合解决了这些挑战。在这里,我们提出了一种创新的分布式体系结构,该体系结构包含智能传感器节点,自配置实时通信网络以及用于状态监视的合适的传感器和信息融合系统。在分布式信息融合系统的背景下出现了新的挑战,这些挑战已被确定并提供了对未来解决方案的展望。这些解决方案中的许多解决方案已在演示程序的上下文中被发现,实施和评估,该演示程序类似于真实的打印应用程序。 (C)2015 Elsevier Ltd.保留所有权利。

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