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开发安全且低成本的氡监测系统。

Developing a Secure Low-Cost Radon Monitoring System.

机构信息

RNASA-IMEDIR, Computer Science Faculty, University of A Coruna, 15071 A Coruña, Spain.

Centro de Investigación en Tecnologías de la Información y las Comunicaciones (CITIC), Campus de Elviña s/n, 15071 A Coruña, Spain.

出版信息

Sensors (Basel). 2020 Jan 29;20(3):752. doi: 10.3390/s20030752.

Abstract

Radon gas has been declared a human carcinogen by the United States Environmental Protection Agency (USEPA) and the International Agency for Research on Cancer (IARC). Several studies carried out in Spain highlighted the high radon concentrations in several regions, with Galicia (northwestern Spain) being one of the regions with the highest radon concentrations. The objective of this work was to create a safe and low-cost radon monitoring and alert system, based on open source technologies. To achieve this objective, the system uses devices, a collection of sensors with a processing unit and a communication module, and a backend, responsible for managing all the information, predicting radon levels and issuing alerts using open source technologies. Security is one of the largest challenges for the internet of things, and it is utterly important in the current scenario, given that high radon concentrations pose a health risk. For this reason, this work focuses on securing the entire end-to-end communication path to avoid data forging. The results of this work indicate that the development of a low-cost, yet secured, radon monitoring system is feasible, allowing one to create a network of sensors that can help mitigate the health hazards that high radon concentrations pose.

摘要

氡气已被美国环境保护署(USEPA)和国际癌症研究机构(IARC)宣布为人类致癌物。西班牙开展的多项研究强调了多个地区的高氡浓度,加利西亚(西班牙西北部)是氡浓度最高的地区之一。这项工作的目的是创建一个安全且低成本的基于开源技术的氡监测和警报系统。为了实现这一目标,该系统使用设备、具有处理单元和通信模块的传感器集合以及后端来管理所有信息,使用开源技术预测氡水平并发出警报。安全性是物联网面临的最大挑战之一,考虑到高氡浓度会带来健康风险,在当前情况下,这一点尤为重要。因此,这项工作侧重于保护整个端到端通信路径,以避免数据伪造。这项工作的结果表明,开发一个低成本但安全的氡监测系统是可行的,这使得人们可以创建一个传感器网络,帮助减轻高氡浓度带来的健康危害。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/fa28/7038459/f5e2b059c5ac/sensors-20-00752-g001.jpg

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