An Internet of Thing Architecture Based on Message Queuing Telemetry Transport Protocol and Node-RED: A Case Study for Monitoring Radon Gas

An Internet of Thing Architecture Based on Message Queuing Telemetry Transport Protocol and Node-RED: A Case Study for Monitoring Radon Gas
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基于消息队列遥测传输协议和 Node-RED 的物联网架构:氡气监测案例研究

DOI:
10.3390/smartcities4020041
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发表时间:
2021
期刊:
影响因子:
6.4
通讯作者:
Itziar G. Alonso
Itziar G. Alonso
中科院分区:
--
文献类型:
--
作者:
Alexandra Medina;David Sánchez;Itziar G. Alonso

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这项工作旨在监测工作场所和家庭等人类活动时间最多的地方的空气质量。氡气是一种自然产生的、无色、无臭、无味的气体,聚集在封闭的空间中。它是一种放射性元素,由其天然母元素铀和钍衰变而产生,吸入后对我们的呼吸系统有害。物联网(IoT)是解决当代生活问题的关键;我们正在见证一个新兴的互联世界,这些架构具有使用传感器从物理世界获取数据、通过网络传输并存储数据以供进一步决策或行动的潜力。这项工作的建议是基于物联网设备上连接的氡传感器、消息队列遥测传输协议(MQTT)、用于管理数据流的Node-RED和Web服务器上的数据库管理系统。传感器收集的信息由物联网设备发送,由Node-RED进行处理。将所获得的数据存储在数据库中以在网络服务器上表示。因此,这项工作包括一个案例研究,其中介绍了室内氡气监测系统所涉及的技术。这是一种自动进行氡气测量的方法。最终的应用程序将允许:在带有地标的地图上显示氡浓度,并实时更新信息。该数据库可以记录来自其他氡传感器的数据,任何用户都可以将这些数据与该网站联系起来。
This work aims to monitor air quality in places where humans spend most of their time, such as workplaces and homes. Radon gas is a naturally occurring, colourless, odourless and tasteless gas that accumulates in enclosed spaces. It is a radioactive element produced by the decay of its natural parent elements, uranium and thorium, which is harmful to our respiratory system when inhaled. The Internet of Things (IoT) is the key to the problems of contemporary life; we are witnessing an emerging connected world, and these architectures have the potential by using sensors to take data from the physical world, transfer it over the network and store it for further decision making or action. The proposal of this work is based on a radon sensor connected to an IoT device, the Message Queuing Telemetry Transport protocol (MQTT), the Node-RED for managing data flows and a database management system on a web server. The information collected by the sensor is sent by the IoT device to be processed by Node-RED. The obtained data is stored in a database to be represented on a web server. Therefore, this work includes a case study where the technologies involved in the indoor radon gas monitoring system are presented. It is a way to perform radon gas measurements automatically. The final application would allow: displaying radon concentrations on a map with placemarks and updating the information in real-time. The database could record data from other radon sensors that any user wants to associate with this website.