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作 者:张祎[1]
出 处:《自动化与仪器仪表》2016年第8期171-174,共4页Automation & Instrumentation
摘 要:射频识别(RFID)是物联网应用中主要的数据采集技术之一,在工业控制、健康控制及供应链管理等行业中得到了广泛的应用。RFID前端产生的海量高速数据在被推送到后台高层应用前需要通过RFID中间件进行有效的处理。复杂事件处理(CEP)通过多种映射操作对RFID底层产生的海量数据进行处理,得到语义更为丰富的高层事件,已成为基于RFID及传感网物联网应用系统的核心技术。为了更加高效地处理RFID数据流,本文提出一种基于复杂事件处理技术的轻量级RFID中间件设计方法。通过在RFID应用系统的中间件层嵌入复杂事件处理语言定义模块、复杂事件查询优化、规则转换及缓存策略,达到快速实时的事件检测。该中间件系统易于实施,结构简洁,与商用的系统对比表明,本系统具有较好的事件处理吞吐量。Radio Frequency Identification ( RFID ) is one of the main automatic data collection techniques in Internet of Things applications which has been extensively used in industrial automation control,heahhcare monitoring and supply chain management. High volume and speed events are generated at the RFID data collection points,so effective methods should be applied in RFID applieation system before these events are pushed to later application levels. Complex event processing( CEP), which is one of the kernel techniques of RFID systems, utilizes filtering, transforming and aggregating to map the atomic events into more semantic high level events. In this paper, in order to accelerate data stream processing speed,we present a lightweight RFID middleware based on CEP. This middle includes event definition language, complex event query optimization modular, rule transformation modular and caching strategy to optimize event detection. With the proposed RFID middleware,complex event can be detected in real time. The proposed middleware system has concise system architecture and is easy to be implemented. Compared with business system,we have better throughput than ttle Microsoft BizTalk RFID.
分 类 号:TP31[自动化与计算机技术—计算机软件与理论]
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