Camera-based window-opening estimation in a naturally ventilated office
Camera-based window-opening estimation in a naturally ventilated office
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DOI：
10.1080/09613218.2016.1245951
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发表时间：
2018-02-01
影响因子：
3.9
通讯作者：
Huang, Y.
中科院分区：
文献类型：
--
作者：
Bourikas, L.;Costanza, E.;Huang, Y.
自然通风的办公室使使用者能够通过打开窗户来控制环境。虽然这种控制水平受到用户的欢迎，但它在能源性能方面存在风险，特别是在采暖季节。在较旧的办公大楼中，设施管理人员通常在大楼层面获取能源信息。由于环境控制条件差，他们通常不知道或无法响应用户的非理想外观交互。在夏季，这可能意味着没有充分利用免费制冷的机会，而在冬季，供暖可能是浪费。本文介绍了一种低成本的、基于摄像头的系统，用于自动诊断立面中每个窗户（打开或关闭）的状态。在一个案例研究建筑中，该系统在冬季和夏季测试期间都达到了90-97%的窗口状态预测精度水平。讨论了一些限制，包括冬季白天时间，降雨的影响，固定摄像机位置的使用以及如何解决这些问题。探讨了使用这些窗口打开信息与办公室用户互动的选项。
Naturally ventilated offices enable users to control their environment through the opening of windows. Whilst this level of control is welcomed by users, it creates risk in terms of energy performance, especially during the heating season. In older office buildings, facilities managers usually obtain energy information at the building level. They are often unaware or unable to respond to non-ideal facade interaction by users often as a result of poor environmental control provision. In the summer months, this may mean poor use of free cooling opportunities, whereas in the winter space heating may be wasteful. This paper describes a low-cost, camera-based system to diagnose automatically the status of each window (open or closed) in a facade. The system is shown to achieve a window status prediction accuracy level of 90-97% across both winter and summer test periods in a case study building. A number of limitations are discussed including winter daylight hours, the impact of rain, and the use of fixed camera locations and how these may be addressed. Options to use this window-opening information to engage with office users are explored.