Ingeniería en Sistemas, Electrónica e Industrial

URI permanente para esta comunidadhttp://repositorio.uta.edu.ec/handle/123456789/1

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2024 - 20263

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Fecha de inicio: 2020Tema: search.filters.subject.MONITOREO AMBIENTAL

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Mostrando 1 - 3 de 3
  • Miniatura
    Item type:Ítem,
    Sistema de monitoreo ambiental basado en Lorawan para la recuperación y gestión sostenible de quebradas en el Cantón Ambato, Provincia de Tungurahua.
    (Universidad Técnica de Ambato. Facultad de Ingeniería en Sistemas Electrónica e Industrial. Carrera de Telecomunicaciones, 2026-06-30)
    Gavidia Masaquiza, Carlos Paul
    ;
    Robalino Peña, Edgar Freddy
    ;
    Universidad Técnica de Ambato. Facultad de Ingeniería en Sistemas Electrónica e Industrial. Carrera de Telecomunicaciones
    This project develops the design of an environmental monitoring system based on LoRaWAN technology, aimed at contributing to the recovery and sustainable management of the ravines of Ambato canton, using the Pisocucho ravine as a case study. The proposal focuses on monitoring soil moisture, soil temperature, and electrical conductivity, variables associated with the environmental conditions of the study area. The methodological process included geographic delimitation using Google Earth Pro, spatial processing in QGIS, and a digital elevation model obtained from OpenTopography to characterize the terrain. Based on the territorial analysis, the location of the gateway was defined. In addition, the radioelectric behavior was evaluated using Radio Mobile, while network performance was analyzed through simulations in OMNeT++/FLoRa, considering alternative gateway locations, transmission power levels, and environmental conditions. Gateway G1 was selected as the main reception point based on criteria of physical security, accessibility, available height, and operational feasibility. In the final validation of the critical scenario, with high precipitation and an effective power of 17 dBm, fifty independent 24-hour runs were performed. The statistical results showed an effective PDR, according to FLoRa DER, of 29.10% ± 0.67; an average RSSI of −120.12 dBm ± 0.08; an average SNIR of 121.72 ± 4.85; and an average total energy consumption of 63.55 J ± 0.69. These results show that the proposed design constitutes a technically viable basis for implementing an environmental monitoring system in the Pisocucho ravine.
  • Miniatura
    Item type:Ítem,
    Plataforma móvil para el monitoreo y analítica predictiva de datos microclimáticos: caso de estudio torre meteorológica ubicada en la Facultad de Ingeniería en Sistemas, Electrónica e Industrial de la Universidad Técnica de Ambato
    (Universidad Técnica de Ambato. Facultad de Ingeniería en Sistemas Electrónica e Industrial. Carrera de Software, 2026-06)
    Pérez Veliz, William Leonardo
    ;
    Jerez Mayorga, Daniel Sebastián
    ;
    Universidad Técnica de Ambato. Facultad de Ingeniería en Sistemas Electrónica e Industrial. Carrera de Software
    This research aimed to develop a mobile platform for monitoring and predicting meteorological variables to determine microclimates on the campus of the Faculty of Systems Engineering, Electronics, and Industrial Engineering. The study was structured in three phases. First, raw data from the institutional weather tower was collected and cleaned by applying exploratory data analysis, average signal filtering, and temporal feature engineering to generate optimal numerical matrices for temperature, solar radiation, and barometric pressure. Second, four predictive algorithms —Random Forest, XGBoost, Stacked LSTM, and CNN-LSTM— were trained and evaluated using R², MAE, and RMSE metrics. Results demonstrated that no single universal model is optimal: Random Forest achieved the highest accuracy for temperature (R² = 0.88), while XGBoost outperformed the rest for solar radiation (R² = 0.82) and barometric pressure (R² = 0.91). Additionally, a heuristic rainfall probability estimator based on pressure and temperature deltas was implemented due to the absence of a physical rain gauge. Third, the complete technological ecosystem was built: an asynchronous FastAPI backend following Clean Architecture principles integrating serialized models, and a cross-platform React Native mobile application featuring real-time dashboard, historical visualization, and four-hour forecast modules. The platform was validated through integration and usability testing, confirming its operability and low latency in production environments.
  • Miniatura
    Item type:Ítem,
    Sistema de monitoreo para la calidad de aire ambiente de la ciudad de Ambato utilizando drones
    (Universidad Técnica de Ambato. Facultad de Ingeniería en Sistemas, Electrónica e Industrial. Carrera de Telecomunicaciones, 2024-08)
    Martinez Diaz, Edgar Gustavo
    ;
    Guamán Molina, Jesús Israel
    Monitoring the ambient air quality of the city of Ambato is a current and relevant environmental need that allows air pollution to be identified. In this degree work, an ambient air quality monitoring system is proposed, which combines the use of drones and sensors, mainly the SDS011 to measure PM2.5 and PM10 particles, providing data in real time. The applied methodology is based on the use of drones equipped with sensors that collect data from multiple locations and heights. Data transmission is carried out through two slave nodes and one master node based on esp32 Lora, allowing reliable and efficient communication. The proposed system has a cloud server which facilitates the storage and analysis of data from anywhere in the world. The research is framed in the use of remote monitoring technology, so the integration of drones and sensors in the same prototype for the aerial evaluation of air quality is of great relevance, in such a way that it offers broad and detailed coverage. that overcomes the limitations of existing systems. It also has a focus on integrating data in real time with systems that help make data publication faster and more accurate. The structure it has allows for scalability and adaptability in different environments and other environmental needs found in the air. Data analysis is carried out using Minitab software, where significant patterns and relationships in air pollution are identified. The same ones that help to make early decisions in the face of possible air pollution, with these events, effective strategies are taken to improve air quality in Ambato.