Information processing and knowledge discovery framework for sustainable building environment using multiple sensor network

S. C. Johnson Lim, Saifullizam Puteh, K. Goh
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引用次数: 1

Abstract

Building environment plays an important role in ensuring a healthy and productive environment for indoor occupants. However, with the increasing demand for comfortable thermal environment and the call for sustainable building operation, achieving a balance between energy consumption and user's thermal preference is challenging. From the informatics perspective, previous studies mainly focused on intelligent building system and occupants activity analysis, while the research on knowledge discovery from building information for optimized building operation is less emphasized. In this paper, we propose a framework for information processing and knowledge discovery for sustainable building environment. Using ubiquitous wireless sensor networks, we showcase how we can feasibly collect and analyze sensory data for the benefit of building environmental assessment and building system control. A case study involving indoor environmental monitoring at two university offices is presented to showcase our approach. We then conclude our work with some discussion on future works.
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基于多传感器网络的可持续建筑环境信息处理与知识发现框架
建筑环境在为室内居住者提供健康和富有成效的环境方面发挥着重要作用。然而,随着人们对舒适热环境需求的增加和对可持续建筑运行的呼吁,实现能源消耗和用户热偏好之间的平衡是一项挑战。从信息学的角度来看,以往的研究主要集中在智能建筑系统和居住者活动分析上,而从建筑信息中发现知识以优化建筑运行的研究较少。本文提出了一个可持续建筑环境的信息处理和知识发现框架。利用无处不在的无线传感器网络,我们展示了如何可行地收集和分析传感器数据,以便于建筑环境评估和建筑系统控制。本文以两所大学办公室的室内环境监测为例,展示了我们的方法。然后,我们以对未来工作的一些讨论来结束我们的工作。
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