An Approach for More Efficient Energy Consumption Based on Real-Time Situational Awareness

An Approach for More Efficient Energy Consumption Based on Real-Time Situational Awareness
复制标题

基于实时态势感知的更高效能源消耗方法

DOI:
--
复制
发表时间:
2011
期刊:
Extended Semantic Web Conference
影响因子:
--
通讯作者:
R. Studer
R. Studer
中科院分区:
--
文献类型:
--
作者:
Yongchun Xu;N. Stojanović;Ljiljana Stojanović;Darko Anicic;R. Studer

文献摘要

被引文献

相似文献

在本文中,我们提出了一种新的方法,实现能源效率的公共建筑(特别是传感器启用办公室)的基础上,应用智能复杂事件处理和语义技术。简而言之,该方法是一种实现实时态势感知的有效方法,有助于识别可能更有效的能源消耗的情况,并及时对这些机会做出反应。语义允许传感器数据的适当上下文化(即,其抽象解释),而复杂事件处理使得传感器数据的高效实时处理成为可能,并且其基于逻辑的性质支持感兴趣的情况的声明性定义。该方法已在智能复杂事件推理的iCEP框架中实现。初步评估研究的结果非常有希望:该方法能够非常精确地实时检测办公室占用情况,这些情况限制了基于空间实际使用的照明系统的操作。
In this paper we present a novel approach for achieving energy efficiency in public buildings (especially sensor-enabled offices) based on the application of intelligent complex event processing and semantic technologies. In the nutshell of the approach is an efficient method for realizing the real-time situational awareness that helps in recognizing the situations where a more efficient energy consumption is possible and reaction on those opportunities promptly. Semantics allows a proper contextualization of the sensor data (i.e. its abstract interpretation), whereas complex event processing enables the efficient real-time processing of sensor data and its logic-based nature supports a declarative definition of the situations of interests. The approach has been implemented in the iCEP framework for intelligent Complex Event Reasoning. The results from a preliminary evaluation study are very promising: the approach enables a very precise real-time detection of the office occupancy situations that limit the operation of the lighting system based on the actual use of the space.