A fog architecture for decentralized decision making in smart buildings

A. Seitz, Jan Ole Johanssen, B. Brügge, V. Loftness, V. Hartkopf, Monika Sturm
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引用次数: 14

Abstract

The integration of humans into smart buildings raises challenges between meeting individual preferences and the generic rules set to optimize energy effectiveness of interest to organizations. Merging the individual preferences of multiple occupants that share thermal zones compounds the challenge. To address related challenges, we have developed FRODO (Fog Architecture for Decision Support in Organizations), an architecture designed to establish a location- aware environment for conflict negotiation and decision support that is based on fog computing. This paper describes the model transformation from a centralized software architecture towards a decentralized Cyber-Physical System (CPS) which encompasses sensors, actuators, and the occupants of smart buildings. The transformation is implemented through MIBO, a framework that allows occupants to control their environment. MIBO has been extended to introduce a fog layer for improved negotiation and conflict resolution. This enables additional benefits to be optimized, such as increased quality of service, reduced latency, and improved security and resilience. The fog layer, introduced with FRODO, allows occupants and organizations to express and discuss conflicts in decision-making, at their point of origin.
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一种用于智能建筑分散决策的雾架构
人与智能建筑的融合在满足个人偏好和优化组织感兴趣的能源效率的通用规则之间提出了挑战。将共享热区的多名居住者的个人偏好融合在一起,使这一挑战更加复杂。为了应对相关挑战,我们开发了FRODO(组织决策支持的雾架构),该架构旨在为基于雾计算的冲突协商和决策支持建立位置感知环境。本文描述了从集中式软件架构到分散的网络物理系统(CPS)的模型转换,该系统包括传感器、执行器和智能建筑的居住者。转换是通过MIBO实现的,这是一个允许居住者控制环境的框架。MIBO已经扩展到引入雾层,以改进协商和冲突解决。这样可以优化其他好处,例如提高服务质量、减少延迟以及改进安全性和弹性。FRODO引入的雾层允许居住者和组织在他们的原点表达和讨论决策中的冲突。
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