一种在智能建筑中部署最小传感器的新方法

A. Agarwal, K. Ramamritham
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引用次数: 1

摘要

建筑被视为网络物理系统,通过部署建筑管理系统(BMS)变得智能化。他们应该了解建筑的状态和环境。这是通过开发一种传感系统来实现的,该系统可以感知建筑物的不同有趣因素,称为“传感方面”。根据应用程序的不同,需要在不同的位置检测不同的方面。现有的感知这些方面的方法包括在所有地方部署传感器,以便可以直接感知它们。但是,安装大量的传感器往往会加剧用户不便、安装和维护成本以及产生电子垃圾的问题。本文提出了如何智能地利用现有信息来帮助估计网络物理系统(如建筑物)中的各个方面,从而减少要部署的传感器。在本文中,开发了一个优化框架,它以最佳方式在建筑物中部署传感器,从而以最少的传感器数量满足BMS要求。提出的解决方案应用于具有网络物理系统的真实场景。结果表明,与基线和启发式方法相比,所提出的优化框架能够分别减少59%和49%的传感器数量。
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A Novel Approach for Deploying Minimum Sensors in Smart Buildings
Buildings, viewed as cyber-physical systems, become smart by deploying Building Management Systems (BMS). They should be aware about the state and environment of the building. This is achieved by developing a sensing system that senses different interesting factors of the building, called as “facets of sensing.” Depending on the application, different facets need to be sensed at various locations. Existing approaches for sensing these facets consist of deploying sensors at all the places so they can be sensed directly. But installing numerous sensors often aggravate the issues of user inconvenience, cost of installation and maintenance, and generation of e-waste. This article proposes how intelligently using the existing information can help to estimate the facets in cyber-physical systems like buildings, thereby reducing the sensors to be deployed. In this article, an optimization framework has been developed, which optimally deploys sensors in a building such that it satisfies BMS requirements with minimum number of sensors. The proposed solution is applied to real-world scenarios with cyber-physical systems. The results indicate that the proposed optimization framework is able to reduce the number of sensors by 59% and 49% when compared to the baseline and heuristic approach, respectively.
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