Ambient Intelligence based monitoring and energy efficiency optimisation system

J. Heilala, K. Klobut, T. Salonen, Pekka Siltanen, Reino Ruusu, L. Urosevic, P. Reimer, A. Armijo, M. Sorli, Tomaz Fatur, Ziga Gantar, Andreas Jung
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引用次数: 21

Abstract

The European research project AmI-MoSES is focused on developing energy efficiency enhancement service solutions for SME manufacturing companies. The planned service concept is based on Industrial Ambient Intelligence (AmI) Reference Architecture and Energy Key Performance Indicators in the form of Energy Use Parameters (EUP). EUP indicators are based on monitored energy consumption data (ECD), other measured data and related energy use context data showing in detail how energy was used. AmI-MoSES project focuses on enabling manufacturing SMEs to efficiently and promptly (online) acquire/provide information/knowledge needed for optimisation of energy consumption. It also aims to assist in effective use of such knowledge to support decisions regarding Life-Cycle oriented Energy Use Management, applying the energy efficiency services. This paper provides theoretical background to RTD practitioners who would like to apply AmI-MoSES approaches in future energy efficiency optimisation activities. The topics comprise Energy Consumption Data (ECD) and Ambient Intelligence (AmI) Monitoring, Energy Use Parameters (EUP) Monitoring and Advisory and context modelling for turning EUPs into knowledge assets.
基于环境智能的监测和能源效率优化系统
欧洲研究项目AmI-MoSES专注于为中小企业制造企业开发能源效率提高服务解决方案。规划的服务理念基于工业环境智能(AmI)参考架构和能源使用参数(EUP)形式的能源关键绩效指标。EUP指标基于监测的能源消耗数据(ECD)、其他测量数据和相关的能源使用背景数据,这些数据详细显示了能源的使用情况。AmI-MoSES项目的重点是使制造业中小企业能够有效和及时地(在线)获取/提供优化能源消耗所需的信息/知识。它还旨在协助有效利用这些知识,以支持有关面向生命周期的能源使用管理的决策,应用能源效率服务。本文为希望在未来能源效率优化活动中应用AmI-MoSES方法的RTD实践者提供了理论背景。主题包括能源消耗数据(ECD)和环境智能(AmI)监测,能源使用参数(EUP)监测和咨询以及将EUP转化为知识资产的上下文建模。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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