A longitudinal study of the occupancy patterns of a university library building using thermal imaging analysis

IF 2.1 Q2 CONSTRUCTION & BUILDING TECHNOLOGY
Qian Wang, Hiral Patel, Li Shao
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引用次数: 0

Abstract

ABSTRACT Current debates around the ‘performance gap’ have highlighted the need to study building occupancy patterns to improve design solutions and better understand space utilisation. However, capturing occupancy data is resource intensive. There is a need for solutions that gather real-time occupancy data while maintaining the users’ privacy. In response to this challenge, this paper discusses applying a thermal imaging-based method for measuring occupancy in buildings and generating behavioural insights. A longitudinal analysis of the occupancy patterns over a full academic year is conducted for a university library building in the UK. The granular data collected through the thermal imaging analysis reveal insights into the building’s occupancy patterns over academic terms and vacation periods. The findings debunk conventional conceptions of library use during weekends/weekdays and terms/vacations. The application of thermal imaging sensors to monitor occupancy within the library building suggests the potential use of real-time data to improve the library’s space and organisational management. The paper makes a case for having an occupancy monitoring strategy in place that corresponds to the data needed for making effective interventions.
利用热成像分析对某大学图书馆建筑的使用模式进行纵向研究
当前围绕“性能差距”的争论强调了研究建筑占用模式以改进设计解决方案和更好地理解空间利用的必要性。然而,捕获占用数据是资源密集型的。需要一种既能收集实时占用数据,又能保护用户隐私的解决方案。为了应对这一挑战,本文讨论了应用基于热成像的方法来测量建筑物的占用率并产生行为见解。对英国一所大学图书馆一学年的使用模式进行了纵向分析。通过热成像分析收集的颗粒数据揭示了建筑物在学术学期和假期期间的使用模式。研究结果推翻了人们在周末/工作日和学期/假期使用图书馆的传统观念。应用热成像传感器来监测图书馆大楼内的占用情况,表明实时数据的潜在用途,以改善图书馆的空间和组织管理。本文提出了一个案例,即制定一项占用监测战略,与进行有效干预所需的数据相对应。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Intelligent Buildings International
Intelligent Buildings International CONSTRUCTION & BUILDING TECHNOLOGY-
CiteScore
4.60
自引率
4.30%
发文量
8
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