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The shakedown: developing an indoor-localization system for quantifying toilet usage in offices
Architectural Science Review Pub Date : 2020-04-21 , DOI: 10.1080/00038628.2020.1748869 B. Doherty 1 , N. Gardner 2 , A. Ray 1 , B. Higgs 1 , I. Varshney 1
Architectural Science Review Pub Date : 2020-04-21 , DOI: 10.1080/00038628.2020.1748869 B. Doherty 1 , N. Gardner 2 , A. Ray 1 , B. Higgs 1 , I. Varshney 1
Affiliation
The design of sanitary facilities in Australia is subject to regulations prescribing minimum provision. In commercial office buildings, this is tied to male and female employee numbers. These requirements are derived from mathematical models, using queuing theory. Evidence of inadequate sanitary provision in numerous contexts points to the necessity to refresh the data, and thinking, that underpins these regulations. Collecting empirical data on human occupancy in sanitary facilities using data science methods is a new way to achieve this and support a shift towards the evidence-based design of sanitary spaces. Accordingly, this article outlines the development and implementation of a novel, privacy-preserving, indoor localization system (ILS) that combines sensors and machine learning to collect and analyse toilet usage data in an office. By evaluating the system’s capacity to identify occupancy patterns this research contributes to scholarship on ILS methods as well as a valuable data-set on Australian toilet usage..
中文翻译:
调整:开发室内定位系统以量化办公室厕所的使用情况
澳大利亚卫生设施的设计受规定最低限度规定的法规的约束。在商业办公楼中,这与男性和女性员工人数相关。这些要求来自数学模型,使用排队理论。在许多情况下卫生设施不足的证据表明,有必要更新支持这些法规的数据和思维。使用数据科学方法收集卫生设施中人类入住率的经验数据是实现这一目标的一种新方法,并支持向卫生空间的循证设计转变。因此,本文概述了一种新颖的、隐私保护的室内定位系统 (ILS) 的开发和实施,该系统结合了传感器和机器学习来收集和分析办公室的厕所使用数据。
更新日期:2020-04-21
中文翻译:
调整:开发室内定位系统以量化办公室厕所的使用情况
澳大利亚卫生设施的设计受规定最低限度规定的法规的约束。在商业办公楼中,这与男性和女性员工人数相关。这些要求来自数学模型,使用排队理论。在许多情况下卫生设施不足的证据表明,有必要更新支持这些法规的数据和思维。使用数据科学方法收集卫生设施中人类入住率的经验数据是实现这一目标的一种新方法,并支持向卫生空间的循证设计转变。因此,本文概述了一种新颖的、隐私保护的室内定位系统 (ILS) 的开发和实施,该系统结合了传感器和机器学习来收集和分析办公室的厕所使用数据。