The Development and Testing of Pour-Flush Toilet Sensors for Understanding User Interaction in Peri-Urban Households

Pablo Cotera Rivera, A. Bilton
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Abstract

Rapid worldwide urbanization has created peri-urban environments that often lack services and infrastructure for water and sanitation. Globally, around 4.5 billion people do not have access to safely managed sanitation, as is often the case in such environments. Efforts to develop appropriate sanitation alternatives in these contexts recognize the value of understanding users’ preferences and interaction with their sanitation systems, however, the traditional tools for assessing technology usage and adoption are based on physical observation, which presents limitations. In this work, we developed a toilet sensor to identify usage patterns of pour-flush toilets by quantifying flushing and defecation events. The device has a methane gas sensor, IR distance sensor and a motion sensor connected to a microcontroller. Its small footprint allows for unobtrusive installation inside a toilet bowl and operates battery-powered for about 5 days depending on usage patterns. To evaluate the sensor performance, units were installed for a field trial in nine participants’ households in a Mexican peri-urban community and an algorithm for automated data analysis was developed. Surveys were also conducted to benchmark the sensor performance and determine the potential value of the approach. Results showed that on average people underreported their daily toilet usage by two events compared to the measurements and they flushed only 75% of the time after defecation. By monitoring the usage of the current pour-flush toilets lacking piped water and sewerage and complementing the data with users’ feedback, we can gain an understanding of the existing limitations so more suitable sanitation alternatives can be proposed.
用于了解城郊家庭用户交互的抽水马桶传感器的开发和测试
世界范围内迅速的城市化造成了城郊环境,这些环境往往缺乏水和卫生设施的服务和基础设施。在全球范围内,约有45亿人无法获得安全管理的卫生设施,这在此类环境中是常见的情况。在这些情况下开发适当的卫生设施替代品的努力认识到了解用户偏好及其与卫生系统相互作用的价值,然而,评估技术使用和采用的传统工具是基于物理观察,存在局限性。在这项工作中,我们开发了一个厕所传感器,通过量化冲水和排便事件来识别抽水马桶的使用模式。该装置有一个甲烷气体传感器、红外距离传感器和一个连接到微控制器的运动传感器。它占地面积小,可以不显眼地安装在马桶里,根据使用模式,电池供电可以运行约5天。为了评估传感器的性能,在墨西哥近郊社区的9个参与者家庭中安装了传感器进行现场试验,并开发了一种自动数据分析算法。还进行了调查,以基准传感器性能和确定该方法的潜在价值。结果显示,与测量结果相比,人们平均少报了两次他们每天的厕所使用情况,而且他们在排便后只冲洗了75%的时间。通过监测目前缺乏管道供水和污水处理的抽水马桶的使用情况,并将用户反馈的数据作为补充,我们可以了解现有的限制,从而提出更合适的卫生设施替代方案。
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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