The Evolving Architecture of Smart Cities

J. Colistra
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引用次数: 17

Abstract

This paper will present research being conducted in developing housing models that leverage data collection for use in Population Health strategies. A multifamily prototype unit that demonstrates best practices in creating livable communities within Smart Cities is being developed. Utilizing prefabricated construction methodologies to bring these models to scale is being investigated.Gigabit networks allow Smart Cites to collect and analyze vast amounts of data. Sensors embedded in the built environment are able to collect human vital signs, physical activity, environmental conditions, and pharmaceutical regiments.Population Health strategies utilize the collection and analysis of such data to deliver health care more affordably, effectively, and sometimes before we know we need it. This predictive ability will allow Smart Cities to evolve into Responsive Cities. Some of the more advanced technologies presented here include: motion sensors/fall detection, gait-analysis, automated LED smart-spectrum lighting, smart mirrors, smart toilets, sleep sensors, and automated medicine dispensers.
不断发展的智慧城市架构
本文将介绍在开发利用数据收集用于人口健康战略的住房模型方面正在进行的研究。一个多户原型单元正在开发中,该单元展示了在智能城市中创建宜居社区的最佳实践。目前正在研究利用预制建筑方法将这些模型规模化。千兆网络使智慧城市能够收集和分析大量数据。嵌入在建筑环境中的传感器能够收集人类生命体征、身体活动、环境条件和药物团。人口健康战略利用这些数据的收集和分析,以更实惠、更有效的方式提供卫生保健,有时甚至在我们意识到需要之前就提供卫生保健。这种预测能力将使智慧城市演变为响应型城市。这里展示的一些更先进的技术包括:运动传感器/跌倒检测、步态分析、自动化LED智能光谱照明、智能镜子、智能马桶、睡眠传感器和自动化药物分配器。
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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