Knowledge-based Requirement-Engineering of building automation systems by means of Semantic Web technologies
Knowledge-based Requirement-Engineering of building automation systems by means of Semantic Web technologies
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DOI：
10.1109/indin.2009.5195815
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发表时间：
2009-06
期刊：
影响因子：
--
通讯作者：
S. Runde;A. Fay;Wagner-Otto Wutzke
中科院分区：
文献类型：
--
作者：
S. Runde;A. Fay;Wagner-Otto Wutzke
现代楼宇自动化系统由多达30,000个组件(例如传感器、执行器和控制器)组成。此外，自动化系统的不同组装部分，例如供暖、通风和照明，被集成在这样的建筑自动化系统中。除了这种复杂性，工程标准和能效方面将在需求-启发阶段被考虑。因此，对要规划的分散式建筑自动化系统的需求进行建模需要付出巨大的努力。在当今的需求工程阶段，软件支持处于较低水平。这允许优化建筑自动化中的工程流程。整个工程过程可以受益于一个“智能”的基于软件的需求--工程。本文利用语义网技术，提出了一种基于知识的需求工程软件的解决方案。
Modern building automation systems consist of up to 30,000 components (e.g. sensors, actuators, and controllers). Additionally, different assembly sections of the automation system, e.g. heating, ventilation, and lighting, are integrated in such a building automation system. Besides this complexity, engineering standards and aspects of energy efficiency are to be considered within the Requirement-Elicitation phase. Therefore, modelling of the requirements for decentralized building automation systems, which are to be planned, requires a huge effort. The software support is on a low level within today's Requirement-Engineering phase. This allows to optimize the engineering process in building automation. The whole engineering process can benefit from an “intelligent” software-based Requirement-Engineering. Within this paper, the authors propose a solution for a knowledge-based Requirement-Engineering software by means of Semantic Web technologies.