Desarrollo de un sistema innovador de bajo costo para el monitoreo y control de la calidad del aire en tiempo real en la ciudad de Barranquilla
datacite.rights | http://purl.org/coar/access_right/c_16ec | |
dc.contributor.advisor | Gonzales Olier, Camilo Andrés | |
dc.contributor.author | Herrera Lozano, Juan Felipe | |
dc.contributor.author | Picalua Martínez, Jeffry Andrés | |
dc.contributor.author | Bolaño Álzate, Miguel Ángel | |
dc.contributor.author | Mora Navarro, Jhoymar Andrés | |
dc.date | 2027-30-12 | |
dc.date.accessioned | 2024-05-08T19:53:40Z | |
dc.date.available | 2024-05-08T19:53:40Z | |
dc.date.issued | 2023 | |
dc.description.abstract | El presente artículo presenta los resultados obtenidos de un proyecto de monitoreo de calidad del aire en la ciudad de Barranquilla, abordando la creciente contaminación causada por la industrialización y el tráfico vehicular resalta la necesidad urgente de un monitoreo efectivo en tiempo real. Este proyecto tiene como objetivo desarrollar un sistema de control y monitoreo de la calidad del aire innovador y de bajo coste. Con el objetivo de seleccionar los componentes apropiados para implementar el sistema especificado, identificar las principales fuentes de contaminación, lugares donde se establece esta mayor contaminación y construir un sistema eficaz de recopilación y análisis de datos, nos esforzamos por proporcionar información precisa sobre la calidad del aire, mostrar y promover acciones para mitigar los impactos adversos. Este proyecto que se desarrolló siguiendo una metodología estructurada, proyecto que propone el desarrollo de un sistema innovador de bajo costo para el monitoreo y control de la calidad del aire en tiempo real en la ciudad de Barranquilla, eficiente y rentable, utilizando tecnologías de vanguardia y una recopilación de datos accesible y muy precisa para proporcionar información en tiempo real sobre la calidad del aire; teniendo en cuenta la efectividad y también el valor para sus componentes. | spa |
dc.description.abstract | This article presents the results obtained from an air quality monitoring project in the city of Barranquilla, addressing the growing pollution caused by industrialization and vehicular traffic, highlighting the urgent need for effective real-time monitoring. This project aims to develop an innovative and low-cost air quality monitoring and control system. With the aim of selecting the appropriate components to implement the specified system, identifying the main sources of pollution, places where this major pollution is established and building an effective data collection and analysis system, we strive to provide accurate information on the quality of the air, show and promote actions to mitigate adverse impacts. This project was developed following a structured methodology, a project that proposes the development of an innovative low-cost system for the monitoring and control of air quality in real time in the city of Barranquilla, efficient and profitable, using cutting-edge technologies and accessible and highly accurate data collection to provide real-time information on air quality; taking into account the effectiveness and also the value for its components. | eng |
dc.format.mimetype | ||
dc.identifier.uri | https://hdl.handle.net/20.500.12442/14609 | |
dc.language.iso | spa | |
dc.publisher | Ediciones Universidad Simón Bolívar | |
dc.publisher | Facultad de Ingenierías | spa |
dc.rights.accessrights | info:eu-repo/semantics/restrictedAccess | |
dc.subject | Calidad del aire | spa |
dc.subject | Sistema de monitoreo del aire | spa |
dc.subject | Sensores de bajo costo | spa |
dc.subject | Air quality | eng |
dc.subject | Air monitoring system | eng |
dc.subject | Low-cost sensors | eng |
dc.title | Desarrollo de un sistema innovador de bajo costo para el monitoreo y control de la calidad del aire en tiempo real en la ciudad de Barranquilla | spa |
dc.title.translated | Development of an innovative system low cost for monitoring and controlling air quality in real time in the city of Barranquilla | eng |
dc.type.driver | info:eu-repo/semantics/bachelorThesis | |
dc.type.spa | Trabajo de grado - pregrado | |
dcterms.references | Ramachandraarjunan, S., & Perumalsamy, V. B. (2022). IoT based artificial intelligence indoor air quality monitoring system using enabled RNN algorithm techniques. Journal of Intelligent & Fuzzy Systems. doi:10.3233/JIFS-212955 | eng |
dcterms.references | Agullo, K. V., Sasis, J. P., & Sese, J. T. (2022). Air Purification System for Air Quality Monitoring In-Vehicle. Simposio Internacional de Electrónica (IES) 2022. IEEExplore. doi:10.1109/IES55876.2022.9888466 | eng |
dcterms.references | Angel Canales Gutiérrez, G. C.-M.-M. (2023). Calidad del aire en relación a los niveles de concentración del monóxido de carbono. Revista Ateliê Geográfico. doi: https://doi.org/10.5216/ag.v17i1.72804 | spa |
dcterms.references | DATASHEET. (s.f.). DHT-11. Obtenido de https://html.alldatasheet.com/html-pdf/1440068/ETC/DHT11/127/2/DHT11.html | spa |
dcterms.references | DATASHEET. (s.f.). MQ-135. Obtenido de https://www.alldatasheet.com/view.jsp?Searchword=MQ-135 | spa |
dcterms.references | Deepak Narayan Paithankar a, A. R. (2023). Framework for implementing air quality monitoring system using LPWA-based IoT technique. Measurement: Sensors. doi:https://doi.org/10.1016/j.measen.2023.100709 | eng |
dcterms.references | Esfahani, S., Rollins, P., Specht, J. P., Cole, M., & Gardner, J. W. (2020). Smart City Battery Operated IoT Based Indoor Air Quality Monitoring System. 2020 SENSORES IEEE. doi:10.1109/SENSORS47125.2020.9278913 | eng |
dcterms.references | García Navarrete, G. &. (2020). SENSORES DE BAJO COSTO PARA EL MONITOREO DE CALIDAD DEL AIRE. revistas unison. doi:https://doi.org/10.36790/epistemus.v13i27.108 | spa |
dcterms.references | Gen Pei, J. D. (2023). Long-term application of low-cost sensors for monitoring indoor air quality and particle dynamics in a commercial building. Journal of Building Engineering. doi:https://doi.org/10.1016/j.jobe.2023.107774 | eng |
dcterms.references | Hable-Khandekar, V., & Srinath, P. (2017). Machine Learning Techniques for Air Quality Forecasting and Study on Real-Time Air Quality Monitoring. 2017 International Conference on Computing, Communication, Control and Automation (ICCUBEA). IEEExplore. doi:10.1109/ICCUBEA.2017.8463746 | eng |
dcterms.references | Hidayati, V. N., Iskandar, & Satriobudi, A. B. (2022). Web Dashboard Development for Cloud Server-Based Air Quality Monitoring System. 2022 16th International Conference on Telecommunication Systems, Services, and Applications (TSSA). IEEExplore. doi:10.1109/TSSA56819.2022.10063897 | eng |
dcterms.references | Iván Mura, J. F.-T. (2020). A Decade of Air Quality in Bogotá: A Descriptive Analysis. frontiersin.org. doi:https://doi.org/10.3389/fenvs.2020.00065 | eng |
dcterms.references | Javier Andres Vargas Guativa, J. A. (2019). Monitoreo de material particulado PM10 y PM2.5 en la ciudad de Villavicencio. 2019 Congreso Colombiano y Conferencia Internacional de Calidad de Aire y Salud Pública (CASP). IEEExplore. doi:10.1109/CASAP.2019.8916702 | spa |
dcterms.references | Jelena Božić, P. I. (2019). Indoor Air Quality in the Hospital: The Influence of Heating, Ventilating and Conditioning Systems. BABT. doi: https://doi.org/10.1590/1678-4324-2019180295 | eng |
dcterms.references | Jinfu Zhao, Z. M. (2023). A comprehensive review of generating, monitoring, evaluating, and controlling particle emissions during machining process. Journal of Manufacturing Systems. doi:https://doi.org/10.1016/j.jmsy.2023.08.007 | eng |
dcterms.references | Jolanda Palmisani , A. G. (2021). Indoor air quality evaluation in oncology units at two European hospitals: Low-cost sensors for TVOCs, PM2.5 and CO2 real-time monitoring. Building and Environment. doi:https://doi.org/10.1016/j.buildenv.2021.108237 | eng |
dcterms.references | Luna, G., marcoandres, González, V., mario, j., & Torres Muñoz, s. C. (2019). Evaluación espacial y temporal de PM10 y PM2.5 en Colombiautilizando información satelital (CAMS, MODIS-AOD) y mediciones de calidad del aire en superficie. 2019 Congreso Colombiano y Conferencia Internacional de Calidad de Aire y Salud Pública (CASP). IEEExplore. doi: 10.1109/CASAP.2019.8916701 | spa |
dcterms.references | Maurice Roots , J. T. (2023). An integrated monitoring system (IMS) for air quality: Observations of a unique ozone-exceedance event in Maryland. Atmospheric Environment. doi:https://doi.org/10.1016/j.atmosenv.2023.120028 | eng |
dcterms.references | Montealegre, J. S., Vanegas, J., Pachon, J. E., Rojas, A., East, J., & Garcia, F. (2019). Air quality modeling as a tool for adjusting emission inventories. 2019 Congreso Colombiano y Conferencia Internacional de Calidad de Aire y Salud Pública (CASP). IEEExplore. doi: 10.1109/CASAP48673.2019.9364063 | eng |
dcterms.references | Nasution, T. H., Hizriadi, A., Tanjung, K., & Nurmayadi, F. (2020). Design of Indoor Air Quality Monitoring Systems. 2020 4a Conferencia Internacional de Ingeniería Eléctrica, Telecomunicaciones e Informática (ELTICOM). IEEExplore. doi:10.1109/ELTICOM50775.2020.9230511 | eng |
dcterms.references | Omar Ramírez , B.-C. D. (2023). Air quality monitoring on university campuses as a crucial component to move toward sustainable campuses: An overview. Urban Climate. doi:https://doi.org/10.1016/j.uclim.2023.101694 | eng |
dcterms.references | Po-Kai Chang , H.-H.-C.-C.-C. (2023). Investigating the invisible threat: An exploration of air exchange rates and ultrafine particle dynamics in hospital operating rooms. Building and Environment. doi:https://doi.org/10.1016/j.buildenv.2023.110870 | eng |
dcterms.references | Roberta Pernetti , A.-C. L. (2022). Monitoring nano-particle release of metal additive manufacturing (3D printing) to assess working occupational exposures through the printing process phases. Safety and Health at Work. doi:https://doi.org/10.1016/j.shaw.2021.12.1185 | eng |
dcterms.references | Sana Shokri, A. N. (2016). EVALUATION OF HOSPITAL WARDS INDOOR AIR QUALITY: THE PARTICLES CONCENTRATION. Journal of Air Pollution and Healt. Obtenido de https://typeset.io/papers/evaluation-of-hospital-wards-indoor-air-quality-the-1dmkmrz2yg | eng |
dcterms.references | Sergio Palomeque-Mangut, F. M.-S. (2022). Portable Instrumental Odour Monitoring System for Air Quality Monitoring by Citizens in Outdoor Environments. CHEMICAL ENGINEERING TRANSACTIONS. doi:10.3303/CET2295009 | eng |
dcterms.references | Shi, T., Li, P., Yang, W., Qi, A., & Qiao, J. (2022). Research on Air Quality Monitoring System Based on STM32 Single Chip Microcomputer. 2022 International Symposium on Intelligent Signal Processing and Communication Systems (ISPACS). IEEExplore. doi:10.1109/ISPACS57703.2022.10082790 | eng |
dcterms.references | sostenible, M. d. (2021). Colombia tiene 175 estaciones de monitoreo de calidad del aire. minambiente. Obtenido de https://www.minambiente.gov.co/colombia-tiene-175-estaciones-de-monitoreo-de-calidad-del-aire/ | spa |
dcterms.references | Sylvain Poupry, C. B. (2015). The Demand for Air Quality: A Case study in Bogotá, Colombia. CEDE, Universidad de Los Andes. scispace. doi:10.22004/ag.econ.212855 | eng |
dcterms.references | Sylvain Poupry, C. B. (2022). Development of a reliable measurement station for air quality monitoring based on low-cost sensors and active redundancy. IFAC-PapersOnLine. doi:https://doi.org/10.1016/j.ifacol.2022.07.631 | eng |
dcterms.references | Tarun Kumar , A. (2023). AIRO: Development of an Intelligent IoT-based Air Quality Monitoring Solution for Urban Areas. Procedia Computer Science. doi:https://doi.org/10.1016/j.procs.2023.01.008 | eng |
dcterms.references | Wenjun Hua , Y. (2023). Investigating real-time monitoring indices of compaction quality from particle movement characteristics of distinctly-graded unbound aggregate materials subjected to vibratory compaction. Transportation Geotechnics. doi:https://doi.org/10.1016/j.trgeo.2023.101084 | eng |
dcterms.references | Yang, H. (2022). An Integrated Air Quality Monitoring System for COVID-19 Virus Detection (preprint). University of Michigan. Obtenido de https://www.semanticscholar.org/paper/An-Integrated-Air-Quality-Monitoring-System-for-Yang/2f967182ff65b9f62a79f108fa1a0d2deef803ab?utm_source=direct_link | eng |
dcterms.references | Young Joo Son , Z. C. (2023). Perceived air quality and satisfaction during implementation of an automated indoor air quality monitoring and control system. Building and Environment. doi:https://doi.org/10.1016/j.buildenv.2023.110713 | eng |
oaire.version | info:eu-repo/semantics/acceptedVersion | |
sb.programa | Ingeniería Mecatrónica | spa |
sb.sede | Sede Barranquilla |
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