A cost-effective, scalable, and portable IoT data infrastructure for indoor environment sensing
A cost-effective, scalable, and portable IoT data infrastructure for indoor environment sensing
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用于室内环境传感的经济高效、可扩展且便携式的物联网数据基础设施
DOI：
10.1016/j.jobe.2022.104027
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发表时间：
2022
影响因子：
6.4
通讯作者：
McCoy, Andrew P.
中科院分区：
文献类型：
--
作者：
Anik, Sheik Murad;Gao, Xinghua;Meng, Na;Agee, Philip R.;McCoy, Andrew P.
大量的设施管理系统、家庭自动化系统以及不断增加的物联网（IoT）设备都需要不断进行环境监测。室内环境数据可以用于改善室内设施和更好的居住者的工作和生活体验，然而，这样的数据是稀缺的，因为许多现有的设施监测技术对于某些建筑系统是昂贵的和专有的。为了解决室内环境数据的可用性问题，作者设计了一个具有成本效益的，分布式的，可扩展的，便携式室内环境数据采集系统，建筑数据精简版（BDL）的原型。BDL基于Raspberry Pi计算机和多个可变传感器阵列，例如温度，湿度，光，运动，声音，振动和多种类型气体的传感器。该系统包括分布式传感网络和集中式服务器。服务器提供了一个基于网络的图形用户界面，使用户能够通过互联网访问收集的数据。为了评估BDL系统的功能性、成本效益、可扩展性和可移植性，研究小组在一个经济适用房社区进行了一项案例研究，该社区将系统原型部署到12个家庭。结果表明，该系统按设计运行，每个区域成本为73美元，提供12种室内环境数据，易于扩展，完全便携。这项研究通过提出一种创新的方式来建立分布式无线物联网数据基础设施，用于在新的或现有的建筑物中进行室内环境感知，从而为知识体系做出了贡献。
The vast number of facility management systems, home automation systems, and the ever-increasing number of Internet of Things (IoT) devices are in constant need of environmental monitoring. Indoor environment data can be utilized to improve indoor facilities and better occupants’ working and living experience, however, such data are scarce because many existing facility monitoring technologies are expensive and proprietary for certain building systems. With the aim of addressing the indoor environment data availability issue, the authors designed and prototyped a cost-effective, distributed, scalable, and portable indoor environmental data collection system, Building Data Lite (BDL). BDL is based on Raspberry Pi computers and multiple changeable arrays of sensors, such as sensors of temperature, humidity, light, motion, sound, vibration, and multiple types of gases. The system includes a distributed sensing network and a centralized server. The server provides a web-based graphical user interface that enables users to access the collected data over the Internet. To evaluate the BDL system’s functionality, cost effectiveness, scalability, and portability, the research team conducted a case study in an affordable housing community where the system prototype is deployed to 12 households. The results indicate that the system is functioning as designed, costs $73 per zone and provides 12 types of indoor environment data, is easy to scale up, and is fully portable. This research contributes to the body of knowledge by proposing an innovative way for establishing a distributed wireless IoT data infrastructure for indoor environment sensing in new or existing buildings.