Indoor Environmental Quality (IEQ) reflects a building's performance in relation to the health, comfort and wellbeing of its occupants. Conventional IEQ measurement strategies fail to capture spatial or temporal variations in IEQ. Recent technological developments in IEQ monitoring and occupant location tracking provide opportunities to monitor IEQ across the entire floorplate of a building and to develop deeper insights into individuals' IEQ exposure.

The aims of this study were 1) to establish the feasibility of synthesising continuous IEQ exposure based on high-resolution real-time location data, and 2) to investigate individuals' exposure to the indoor climate by mapping occupant location relative to IEQ. IEQ was measured continuously using 12 autonomous desk-mounted devices spread out across the office floorplate. A Real Time Location System (RTLS) tracked occupant location continuously over one month, with 47 location sensors across the research site (1220 m²) and 45 tags attached to occupants' staff-ID access cards. We estimated IEQ spatial distributions across the entire floorplate using cubic splines and fused these with occupants' high-resolution spatiotemporal coordinates. We confirm that it is possible to infer continuous exposure to IEQ conditions from diverse data sources. In this case, we identified distinct IEQ zones across the floorplate that were reflected in the exposure profiles for individual occupants. While there were several limitations to the study, future research could expand this data fusion framework to investigate IEQ relative to occupant health and wellbeing by including occupant-reported data. The framework could also be useful for future investigations aimed at simultaneously optimising building energy and occupant comfort.

室内环境质量（IEQ）反映了建筑物在其居住者的健康，舒适和福祉方面的表现。常规的IEQ测量策略无法捕获IEQ中的空间或时间变化。IEQ监视和乘员位置跟踪方面的最新技术发展为在建筑物的整个地板上监视IEQ以及对个人的IEQ暴露提供更深入的见解提供了机会。

这项研究的目的是：1）建立基于高分辨率实时位置数据合成连续IEQ暴露的可行性，以及2）通过绘制相对于IEQ的居住者位置来调查个人暴露于室内气候。IEQ是使用分布在整个办公室地板上的12个自主台式设备连续测量的。实时定位系统（RTLS）在一个月的时间内连续跟踪了乘员的位置，整个研究站点（1220 m ²），并在员工的员工ID访问卡上附加45个标签。我们使用三次样条估计整个地板上的IEQ空间分布，并将其与居住者的高分辨率时空坐标融合。我们确认可以从各种数据源推断出对IEQ条件的持续暴露。在这种情况下，我们确定了整个地板上不同的IEQ区域，这些区域反映在各个乘员的暴露曲线中。尽管这项研究存在一些局限性，但未来的研究可以通过纳入乘员报告的数据来扩展此数据融合框架，以研究与乘员健康和福祉相关的IEQ。该框架对于将来旨在同时优化建筑能耗和乘员舒适度的研究也可能是有用的。