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利用LoRaWAN技术实现用于测量太阳辐射计紫外线辐射水平的远程监测站。

Implementation of a Remote Monitoring Station for Measuring UV Radiation Levels from Solarimeters Using LoRaWAN Technology.

作者信息

Sánchez Iván, Guamialama Cristian, Padilla Alexis, Játiva Pablo Palacios, Mosquera Andre Nicolás

机构信息

Department of Networking and Telecommunication Engineering, Universidad de las Américas, Quito 170503, Ecuador.

Escuela de Informática y Telecomunicaciones, Universidad Diego Portales, Santiago 8370190, Chile.

出版信息

Sensors (Basel). 2025 May 14;25(10):3110. doi: 10.3390/s25103110.

DOI:10.3390/s25103110
PMID:40431902
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC12115886/
Abstract

This work presents the development and implementation of a remote UV radiation monitoring station using LoRaWAN technology at the Universidad de las Américas. The main objective was to establish a system capable of measuring UV radiation levels through solarimeters, ensuring the remote transmission of data to protect the health and safety of students and staff exposed to solar radiation. To achieve this, several activities were conducted, including analyzing the architecture and communication components of LoRaWAN technology, designing a prototype based on this architecture, implementing the prototype based on the proposed design, and conducting functional tests to validate the system's operability. The system included the installation of a solarimeter and a receiver or gateway, configured to operate from 8 a.m. to 6 p.m. The data collected by the prototype were validated through comparisons with measurements from the environmental monitoring system of the Secretariat of Environment of the Metropolitan District of Quito, which allowed for the verification of the prototype's reliability. With this system, it was possible to identify patterns of high UV radiation and calculate error percentages in comparison with reference systems.

摘要

这项工作展示了在美洲大学使用LoRaWAN技术开发和实施远程紫外线辐射监测站的过程。主要目标是建立一个能够通过日射强度计测量紫外线辐射水平的系统，确保数据的远程传输，以保护暴露在太阳辐射下的学生和工作人员的健康与安全。为实现这一目标，开展了多项活动，包括分析LoRaWAN技术的架构和通信组件，基于该架构设计原型，根据提议的设计实现原型，并进行功能测试以验证系统的可操作性。该系统包括安装一个日射强度计和一个接收器或网关，配置为从上午8点到下午6点运行。通过与基多市辖区环境秘书处环境监测系统的测量结果进行比较，对原型收集的数据进行了验证，从而验证了原型的可靠性。借助该系统，可以识别高紫外线辐射模式，并与参考系统相比计算误差百分比。

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本文引用的文献

1
Ultraviolet radiation sensors: a review.紫外线辐射传感器：综述
Biophys Rev. 2019 Jun 22:895-899. doi: 10.1007/s12551-019-00556-9.
2
The relationship between UV exposure and incidence of skin cancer.紫外线暴露与皮肤癌发病率之间的关系。
Photodermatol Photoimmunol Photomed. 2015 Jan;31(1):26-35. doi: 10.1111/phpp.12139. Epub 2014 Oct 13.