面向未来工厂主动风险管理的语义传感器网络架构

A. Moyano, Ó. Lázaro, C. Fernández-Llatas
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引用次数: 0

摘要

近年来,我们观察到信息通信技术在工厂环境中日益增长的兴趣和普遍作用。随着传感和执行能力的提高,回程通信的改进提出了一种新的工厂场景,可以设想更多自主智能推理机制。需要处理的物联网(IoT)场景具有高度可变的时空背景,需要对其进行有效管理。本文介绍并讨论了“绝对安全健康工厂”项目提出的复杂系统运行的语义管理方法。此外,还提出了一个分布式推理概念,将其视为项目提出的推理上下文,并讨论了其好处。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Semantic Sensor Network Architecture for Pro-active Risk Management in the Factories of the Future
In recent years we have observe the increasing interest and a prevailing role of ICT in the context of factory environment. In parallel with increased sensing and actuating capabilities, the improvement in backhaul communications present a new factory scenario where more autonomous intelligent reasoning mechanisms could be envisaged. The Internet of Things (IoT) scenario that needs to be handle is characterized by highly variable spatial and temporal contexts that should be effectively managed. This paper presents and discusses the semantic management approach to complex system operation proposed by the FASyS project (Absolutely safe and Healthy Factory). Moreover, a distributed reasoning concept regarded as reasoning contexts proposed by the project is also proposed and the benefits discussed.
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