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Camera-based window-opening estimation in a naturally ventilated office

机译:在自然通风的办公室中基于摄像头的开窗估计

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摘要

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 automatically diagnose 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, 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.
机译:自然通风的办公室使用户可以通过打开窗户来控制环境。尽管这种控制水平受到用户的欢迎,但它在能源性能方面造成了风险,尤其是在采暖季节。在较旧的办公楼中,设施管理员通常会在建筑物级别获取能源信息。由于不良的环境控制规定,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,这可能意味着对自然冷却机会的利用不充分,而在冬季,空间采暖可能是浪费的。本文介绍了一种低成本的基于摄像头的系统,可以自动诊断立面中每个窗口(打开或关闭)的状态。在一个案例研究大楼中,该系统在冬季和夏季测试期间均能达到90%-7%的窗口状态预测准确度。讨论了许多限制,包括冬季白天,下雨的影响以及使用固定相机位置以及如何解决这些限制。探索了使用此窗口打开信息与办公室用户互动的选项。

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