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REAL-TIME MASS OF EVENTS FUSION BASED ON COMPLEX EVENT PROCESSING IN RFID- BASED MANUFACTURE SYSTEM

机译:基于复杂事件处理的基于RFID的制造系统的实时融合

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RFID technologies are widely used to collect information to support control and optimization of production implementations in manufacture enterprise. RFID devices continually report mass of data to manufacture system. How to collect and integrate big data from RFID devices is a key problem to popularize RFID technologies. Most existing researches focused on realtime data sensing techniques, but real-time data integration is rarely discussed. Mass of data and time constraints lead to challenges for information integration. In this paper, we present an architecture of RFID-based manufacture system. In order to solve the problem of information integration, as a core component of the manufacture system, an information integration framework based on complex event processing is proposed. Some key techniques are developed, including specification of events, a high-performance algorithm for events fusion, and a method that guarantee events fusion satisfy time constraints. A prototype system is developed, and experiments indicate that the architecture is feasible.
机译:RFID技术广泛用于收集信息以支持制造企业生产实施的控制和优化。 RFID设备不断向制造系统报告数据质量。如何从RFID设备中收集和集成大数据是推广RFID技术的关键问题。大多数现有的研究专注于实时数据传感技术,但很少讨论实时数据集成。数据和时间限制的质量导致信息集成的挑战。在本文中,我们提出了一种基于RFID的制造系统的架构。为了解决信息集成的问题,作为制造系统的核心组件,提出了一种基于复杂事件处理的信息集成框架。开发了一些关键技术,包括事件的规范,事件融合的高性能算法,以及保证事件融合满足时间约束的方法。开发了一种原型系统,实验表明架构是可行的。

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