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基于开源物联网的带防护壳的热带环境空气污染监测系统。

Open-source Internet of Things (IoT)-based air pollution monitoring system with protective case for tropical environments.

作者信息

Collado Edwin, Calderón Sallelis, Cedeño Betzaida, De León Olga, Centella Miriam, García Antony, Sáez Yessica

机构信息

Universidad Tecnológica de Panamá, Avenida Universidad Tecnológica de Panamá, Vía Puente Centenario, Campus Metropolitano Víctor Levi Sasso 0819-0728, Panama.

Centro de Estudios Multidisciplinarios en Ciencias, Ingeniería y Tecnología AIP (CEMCIT AIP), Avenida Universidad Tecnológica de Panamá, Vía Puente Centenario, Campus Metropolitano Víctor Levi Sasso 0819-0728, Panama.

出版信息

HardwareX. 2024 Jul 17;19:e00560. doi: 10.1016/j.ohx.2024.e00560. eCollection 2024 Sep.

DOI:10.1016/j.ohx.2024.e00560
PMID:39687307
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11647870/
Abstract

In recent years, the escalation of industrial activities has significantly increased natural resource pollution, with air pollution becoming a major cause of diseases affecting living organisms. To address this critical environmental challenge, this study proposes a comprehensive air pollution monitoring system utilizing advanced technological instruments based on the Internet of Things (IoT). The system's primary objective is to provide precise, rapid, and efficient measurements, enabling detailed examinations of pollutant behaviors and facilitating data dissemination. The system includes a monitoring station equipped with sensors to measure ambient temperature, relative humidity, and concentrations of pollutants such as carbon monoxide (CO), nitrogen dioxide (NO), sulfur dioxide (SO), suspended particles (PM, PM), and ozone (O). Additionally, it captures meteorological variables like wind speed, wind direction, and precipitation, allowing a nuanced analysis of their correlation with air pollutants. The collected data are transmitted via the Internet and visualized on a user-friendly platform accessible from any internet-enabled device. A protective case, designed with SolidWorks CAD software and fabricated using 3D printing, was validated through simulations for extreme conditions to ensures the system's robustness in tropical climates. The cost-effective, low-energy system offers a scalable solution for monitoring air pollution, advancing understanding of pollutant behaviors, and supporting environmental management.

摘要

近年来，工业活动的升级显著加剧了自然资源污染，空气污染已成为影响生物的疾病的主要成因。为应对这一严峻的环境挑战，本研究提出了一种基于物联网（IoT）的利用先进技术仪器的综合空气污染监测系统。该系统的主要目标是提供精确、快速且高效的测量，以便能够详细检查污染物行为并促进数据传播。该系统包括一个配备传感器的监测站，用于测量环境温度、相对湿度以及一氧化碳（CO）、二氧化氮（NO）、二氧化硫（SO）、悬浮颗粒（PM、PM）和臭氧（O）等污染物的浓度。此外，它还能捕捉风速、风向和降水等气象变量，从而对它们与空气污染物之间的相关性进行细致分析。收集到的数据通过互联网传输，并在一个可从任何联网设备访问的用户友好平台上进行可视化展示。一个使用SolidWorks CAD软件设计并通过3D打印制造的保护壳，经过极端条件下的模拟验证，以确保该系统在热带气候中的稳健性。这个经济高效、低能耗的系统为空气污染监测提供了一个可扩展的解决方案，有助于增进对污染物行为的了解，并支持环境管理。

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