Semantic-Based Resource Discovery and Orchestration in Home and Building Automation: A Multi-Agent Approach
Semantic-Based Resource Discovery and Orchestration in Home and Building Automation: A Multi-Agent Approach
复制标题
家庭和楼宇自动化中基于语义的资源发现和编排：多代理方法
DOI：
10.1109/tii.2013.2273433
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发表时间：
2014
影响因子：
12.3
通讯作者：
E. Sciascio
中科院分区：
文献类型：
--
作者：
M. Ruta;Floriano Scioscia;G. Loseto;E. Sciascio
家庭和楼宇自动化（HBA）趋向于环境智能范式，其目的是在给定环境中自主协调和控制设备和子系统。然而，HBA是基于显式的用户-家庭交互，基本上支持静态和预定的场景。本文提出了一种更灵活的多代理方法，利用基于语义的资源发现和编排HBA应用程序。对EIB/KNX domotic标准的向后兼容增强允许支持用户配置文件和设备功能的语义表征，从而实现：1）根据隐式和显式用户需求协商最合适的家庭服务/功能，以及2）设备驱动的交互，以适应环境的上下文演变。在HBA的电源管理问题作为一个案例研究，以更好地阐明该建议，并评估其有效性。
Home and building automation (HBA) trends toward the Ambient Intelligence paradigm, which aims to autonomously coordinate and control appliances and subsystems in a given environment. Nevertheless, HBA is based on an explicit user-home interaction and basically enables static and predetermined scenarios. This paper proposes a more flexible multi-agent approach, leveraging semantic-based resource discovery and orchestration for HBA applications. Backward-compatible enhancements to EIB/KNX domotic standard allow to support the semantic characterization of user profiles and device functionalities, thus enabling: 1) negotiation of the most suitable home services/functionalities according to implicit and explicit user needs and 2) device-driven interaction for adapting the environment to context evolution. A power-management problem in HBA is presented as a case study to better clarify the proposal and assess its effectiveness.