基于环境感知的智能工厂能源管理框架

Hyunjeong Lee, Sangkeun Yoo, Yong-Woon Kim
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引用次数: 14

摘要

本文提出了一种基于上下文感知的智能工厂能源管理框架。智能工厂由三层组成,物联网传感器部署在智能工厂中,用于收集人员、设备、环境等多种数据。第一层是数据采集和控制层,收集环境和控制数据并发送给第二层。第二层是基于上下文感知层的能量管理,对数据进行分析并从中推断出上下文。最后,能源服务层通过对能耗状态的监控,为用户提供能源管理服务。使用建议的方案,用户可以监控他们的能源消耗,并控制他们的公用事业和设备,以避免能源泄漏。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
An energy management framework for smart factory based on context-awareness
In this paper, an energy management framework for smart factory is illustrated based on context-awareness. The smart factory is composed of the three layers, and IoT sensors are deployed in the smart factories and used to collect many kinds of data including personnel, equipment, and environment. The first layer, the data collection and control layer, collects and sends environmental and control data to the second layer. And, the second layer, energy management based on context-awareness layer, analyses the data and infers the context from them. Finally, the energy service layer provides energy management services to users through monitoring and controlling the status of energy consumption. Using the proposed scheme, users can monitor their energy consumption, and control their utilities and equipment to avoid energy leakage.
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