Pregrado Ingeniería Electrónica

URI permanente para esta colecciónhttp://hdl.handle.net/11634/205

Examinar

Mostrando 1 - 20 de 540

Gestión de intermitencia en la generación fotovoltaica mediante microrred con mecanismo power to heat y drs del laboratorio de energías renovables de la USTA
(Universidad Santo Tomás, 2026-04-28) Sánchez Torres, Glenda Victoria; Beltrán Salgado, Santiago; Paternina Durán, José Luis; Mojica Casallas, Carlos Javier; Gélvez Lizarazo, Óscar Mauricio; Universidad Santo Tomás; https://scienti.minciencias.gov.co/cvlac/visualizador/generarCurriculoCv.do?cod_rh=0001652171; https://scienti.minciencias.gov.co/cvlac/visualizador/generarCurriculoCv.do?cod_rh=0000639214; https://scienti.minciencias.gov.co/cvlac/visualizador/generarCurriculoCv.do?cod_rh=0001342623; https://scholar.google.com/citations?user=VEsFa94AAAAJ&hl=es&oi=ao; https://scholar.google.com/citations?user=XOhDruwAAAAJ&hl=es&oi=ao; https://orcid.org/0000-0001-8138-9588; https://orcid.org/0000-0002-3757-9410; https://orcid.org/0000-0001-6858-5293
This document presents the implementation of an experimental microgrid aimed at managing solar photovoltaic energy through Power-to-Heat (PtH) mechanisms and the use of distributed energy resources (DERs) available in the Renewable Energy Laboratory at Universidad Santo Tomás. The purpose of this work is to design a system that enables the utilization of variable photovoltaic generation through coupling with controlled thermal loads, contributing to the flexibility and efficiency of the energy system. In the development of this research, the main mathematical modeling techniques used for the characterization of PtH technologies are identified based on a specialized literature review. Subsequently, the mathematical model of the electric furnace available in the laboratory is selected and validated through experimental tests, allowing the representation of its thermal behavior and energy storage capacity. Finally, a microgrid is implemented integrating the furnace as a flexible thermal load for the management of photovoltaic generation, together with a set of solar panels, an inverter, complementary electrical loads, and a network analyzer. Communication between devices is carried out through the Modbus RS-485 protocol, managed by an embedded system based on the Raspberry Pi Pico 2. The results demonstrate that the application of the Power-to-Heat mechanism allows for better utilization of the available photovoltaic energy, reducing dependence on the electrical grid and improving self-consumption and self-sufficiency indices. Likewise, it is shown that the proper thermal programming of the furnace contributes to mitigating solar generation intermittency, leading to a more efficient use of the system.
Arquitectura multi-agente descentralizada para detección de eventos en el ambiente
(Universidad Santo Tomás, 2026-04-20) Castaño Ortiz, Daniel Fernando; Martínez Vásquez, David Alejandro; Universidad Santo Tomás; https://scienti.minciencias.gov.co/cvlac/visualizador/generarCurriculoCv.do?cod_rh=0001560096; https://scienti.minciencias.gov.co/cvlac/visualizador/generarCurriculoCv.do?cod_rh=0002173917; https://scholar.google.com/citations?user=U5Qf1nUAAAAJ&hl=es&oi=ao; https://orcid.org/0000-0001-9750-2653; https://orcid.org/0009-0003-2216-0937
Environmental event detection is a key challenge in modern robotics, particularly in systems that require autonomy, cooperation, and distributed decision-making. Decentralized multi-agent systems (MAS) emerge as anefficient alternative to centralized approaches, offering greater scalability, robustness, and fault tolerance. This work proposes the design and implementation of a decentralized multi-agent architecture based on ROS 2 for environmental event detection, using TurtleBot3 Burger mobile platforms and deep reinforcement learning. The research followed an experimental and applied approach, structured into three phases: (1) analysis and selection of physical variables, algorithms, and robotic platform; (2) development of the decentralized architecture integrating a leader agent trained through the Deep Q-Learning (DQN) algorithm and follower agents controlled by the ROBOTIS Follower algorithm; and (3) system validation in the Gazebo simulator using the ROS2middleware for inter-node communication and independent namespace management for each robot. Over 1000 training episodes, the leader agent showed a progressive improvement in cumulative rewards, achieving stable learning and autonomous navigation without collisions. In the multi-agent simulation, the follower robots accurately replicated the leader’s trajectory, maintaining stable formations and effective communication. Finally, physical tests confirmed the successful transfer of the trained model, maintaining consistency with the simulated behaviors. The results confirm that combining deep reinforcement learning with a decentralized ROS 2-based architecture is a viable strategy for developing cooperative behaviors in mobile robotics. The designed system reduces the dependence on a central controller, enhances scalability, and establishes a solid foundation for future validations in more complex physical environments.
Diseño e ingeniería de una red FTTH como medio de comunicación para redes Smart Grids o redes eléctricas inteligentes en el sistema de distribución de la EBSA zona Puerto Boyacá
(Universidad Santo Tomás, 2026-03-26) Roa Avila, Astrid Lorena; Camacho Parra, Cristian David; Salazar Madrigal, Angélica María; Chaparro Becerra, William Fabián; Universidad Santo Tomás; https://scienti.minciencias.gov.co/cvlac/visualizador/generarCurriculoCv.do?cod_rh=0001713601; https://scholar.google.es/citations?user=Z7wSIokAAAAJ&hl=es; https://orcid.org/0000-0001-5470-700X
In this project, the need to modernize the communication infrastructure for EBSA smart grids in the Puerto Boyacá area is addressed. Currently, monitoring of medium-voltage line reclosers is carried out using GPRS technology, which presents significant limitations in data transmission and affects operational efficiency and quality of service. As a solution, the design and engineering of an FTTH (Fiber to the Home) optical fiber network is proposed, a technology that offers more reliable communications for power system operation. The project includes several stages, among which are: evaluating different technologies for smart grid implementation; establishing a technically viable and reliable design for fault management in the circuits through reclosers, which must be activated automatically or via remote control; and ensuring that the design considers a scalable system with a level of reliability that complies with the current regulatory framework for the electrical sector, serving as a benchmark for the modernization of communications in the different distribution network topologies in the department of Boyacá.
Interfaz Gráfica para la Medición del Tamaño de Burbujas en Procesos de Flotación Basada en Imágenes
(Universidad Santo Tomás, 2026-03-25) Rodriguez Fonseca, Jonathan Ernesto; Pardo Beainy, Camilo Ernesto; Gutiérrez Cáceres, Edgar Andrés; Gutiérrez Briones, Leopoldo Esteban Manuel; Universidad Santo Tomás; https://scholar.google.com/citations?user=iLrVanwAAAAJ&hl=en; https://orcid.org/0000-0003-0012-3679
The flotation method plays a crucial role in mining to concentrate valuable materials by adhering particles to air bubbles in an aqueous environment. The foam zone, where these bubbles are grouped, provides vital information about the effectiveness of the procedure, especially through the analysis of the bubble size distribution. However, direct visual observation is limited and subjective, making it difficult to obtain quantitative and repeatable measurements of foam behavior. The purpose of this project is to develop a methodology based on digital image processing that allows the capture, preprocessing, segmentation and characterization of bubbles in the foam region of a flotation column, using computer vision algorithms in Python and libraries such as OpenCV. The proposed tool, of a non-invasive and low-cost nature, seeks to facilitate an accurate evaluation of relevant operating parameters in the future, improving the stability of the process and the recovery of minerals. The work will be developed in conjunction with the University of Concepción (Chile), combining technical and academic capabilities to move towards automated monitoring systems in laboratory contexts and, potentially, in the mining industry. Foam flotation is one of the most widely used operations in mineral processing, as it allows valuable particles to be separated from gangue by adhering to air bubbles in an aqueous medium. In this context, the foam zone of a flotation column is a fundamental visual indicator of process performance, as characteristics such as size, shape, stability and bubble distribution are directly related to ore recovery and the quality of the concentrate obtained. However, in many academic and industrial settings, foam evaluation continues to be performed predominantly visually and qualitatively, introducing subjectivity, making it difficult to compare between trials, and limiting the development of more advanced control strategies. This paper presents the development of a methodology based on digital image processing for the identification and analysis of bubbles in the foam region of a flotation column under laboratory conditions. The proposal is implemented in Python using open-source libraries, with the aim of building a non-invasive and low-cost tool that allows quantitative information to be obtained on parameters such as the area and distribution of bubble sizes. The study is carried out in collaboration with the metallurgy laboratory of the University of Concepción (Chile), where a pilot column and the necessary experimental conditions for the controlled capture of images and video of the foam are available. The methodology considers, firstly, an analysis of the physical and operational principles of the flotation process and foam formation, in order to establish the criteria that guide the design of the image acquisition system. Subsequently, the experimental arrangement is developed, consisting of a high-definition digital camera, a dimmable LED lighting system and an adjustable support structure that allows the position and angle of capture to be fixed. From the videos obtained, representative frames of the foam area are extracted, which are subjected to a preprocessing stage that includes filtering, contrast enhancement and correction of lighting conditions, seeking to highlight the contours of the bubbles and reduce the influence of noise. In the next phase, segmentation techniques are implemented to separate the bubbles from the bottom and the column, evaluating different thresholding strategies and morphological operations. Individual bubbles are identified on the segmented images and geometric properties such as area and equivalent diameter are calculated, from which size distributions are constructed for different operating conditions. These results are integrated into a graphical user interface that allows uploading videos or images, visualizing the segmentation process, adjusting basic parameters and obtaining tables and graphs with the characterization of the foam in an automated way. The experimental results obtained in the pilot column show the feasibility of the proposed methodology to detect and quantify bubbles under laboratory conditions, providing an objective basis for the analysis of the foam zone. The tool developed is projected as a support for research and teaching in mineral flotation, as it facilitates the comparison of tests and the evaluation of changes in operating conditions. Likewise, the approach adopted opens the possibility of future extensions towards online monitoring systems and integration with advanced control strategies, contributing to the development of accessible, reproducible and adaptable solutions for foam analysis in the mining industry.
Diseño de Guías Prácticas de Fundamentos de Ciberseguridad Cisco
(Universidad Santo Tomás, 2026-03-24) Aguilar Cárdenas, Santiago; Chaparro Becerra, William Fabián; Salazar Madrigal, Angélica María; Camacho Parra, Cristian David; Universidad Santo Tomás; https://scienti.minciencias.gov.co/cvlac/visualizador/generarCurriculoCv.do?cod_rh=0001347383; https://scholar.google.com/citations?user=5_dx9REAAAAJ&hl=en
This paper addresses the design, development, and validation of a set of practical guidelines aimed at teaching the fundamentals of cybersecurity and networks in the context of university engineering education. The proposal arises from the need to strengthen practical learning in the laboratory through structured materials that allow theoretical concepts to be integrated with the configuration and operation of real network infrastructures. To this end, a methodology based on Problem-Based Learning (PBL) was used, in line with the institutional educational model, aimed at resolving situations representative of real network and security scenarios. The guides developed cover content related to an introduction to cybersecurity, IP addressing and subnetting, Cisco router configuration, access control lists (ACLs), IPsec VPNs, and ASA firewalls, combining the use of simulation tools and physical equipment available in the laboratory. As part of the process, a technical validation phase of the network equipment was carried out, identifying and solving configuration and operational problems in new and old devices, ensuring their operability for the proposed practices. Learning assessment was carried out using evaluation rubrics, designed as comprehensive tools for assessing student performance, taking into account technical, functional, and time management criteria during the execution of activities. The results show that the guides allow for the standardization of laboratory practices, facilitate the correct implementation of network configurations, and contribute to the development of technical and analytical skills, promoting student autonomy and the application of acquired knowledge in new scenarios.
Identificación de episodios de estrés con señales EEG y EDA mediante modelos de machine learning
(Universidad Santo Tomás, 2026-03-19) Barrero Solano, Yefri Stiven; Martínez Vásquez, David Alejando; Toro Tovar, Billy Vladimir; Mateus Rojas, Armando; Universidad Santo Tomás; https://scienti.minciencias.gov.co/cvlac/visualizador/generarCurriculoCv.do?cod_rh=0001560096; https://scienti.minciencias.gov.co/cvlac/visualizador/generarCurriculoCv.do?cod_rh=0001402348; https://scienti.minciencias.gov.co/cvlac/visualizador/generarCurriculoCv.do?cod_rh=0000680630; https://scholar.google.com/citations?user=U5Qf1nUAAAAJ&hl=es&oi=ao; https://scholar.google.com/citations?user=1az5o_IAAAAJ&hl=es&oi=ao; https://orcid.org/0000-0001-9750-2653; https://orcid.org/0000-0002-2399-4859
Stress is a critical emotional state with significant impacts on physical health and cognitive performance. Its traditional assessment relies on subjective methods such as questionnaires, which are prone to bias and lack temporal precision. While physiological signals like electroencephalography (EEG) and electrodermal activity (EDA) offer objective measurements, their individual use faces technical limitations and interindividual variability. The multimodal integration of these signals through machine learning (ML) models emerges as a promising alternative for the reliable detection of stress episodes. This study implemented a multimodal approach integrating EDA, EEG, and electrocardiography (ECG) signals from 10 participants undergoing cognitive tasks and sleep deprivation. After preprocessing, which included temporal segmentation and feature extraction (e.g., EDA phasic components, EEG spectral powers), binary labels (stress/no stress) were generated using the unsupervised k-means algorithm. Three supervised classification models (Decision Tree, SVM, KNN) were trained and optimized using only EDA features, with performance evaluated using metrics such as accuracy, F1-score, and AUC-ROC. In the task with balanced classes, the models showed acceptable performance, with an AUC-ROC of up to 0.8119 (KNN). In the task with class imbalance (85% stress), a drop in real discriminative capacity was observed (AUC-ROC of 0.4862 for KNN), despite deceptively high global metrics (e.g., 82.35% accuracy). Phasic EDA features (mean SCR amplitude and count) were identified as the most determinant. It was demonstrated that phasic EDA features contain sufficient information for the identification of acute stress, providing a basis for the development of low-cost wearable systems. The research underscores the criticality of class balance in data and the need to use robust metrics such as AUC-ROC for reliable evaluation. This work lays the foundation for future developments of stress monitoring systems applicable in clinical and everyday environments.
Caracterización de Circuitos RLC Planares usando 3 métodos de fabricación para componentes 3D
(Universidad Santo Tomás, 2025-09-22) Moreno Quintero, Luis Santiago; Gutiérrez, Ricardo Casallas; Universidad Santo Tomas
In recent years, new manufacturing methods have taken an important relevance in the manufacture of prototypes and in the research on these, this has resulted in progress in materials for obtaining devices; the development of these technologies can result in an improvement in manufacturing costs by improving development times. In this document, we worked on the fabrication of RLC circuits, which are the basis of electronics. We also reviewed the theoretical foundations, the fabrication methods and the data obtained. With this, we seek to make a frequency analysis of the circuits created with the different fabrication methods, taking into account the properties of the materials to be used and the way they are implemented. This project was carried out with the help of the University of Los Andes, which provided us with essential material and equipment for the elaboration of this document, without which it would not have been possible.
Control de posición del rotor de un motor de inducción por el método de control de campo orientado (FOC)
(Universidad Santo Tomás, 2025-12-16) Martín Delgado, Javier Armando; Mojica Casallas, Carlos Javier; Torres Pinzón, Carlos Andrés; Universidad Santo Tomás; https://orcid.org/0000-0002-3757-9410; https://scholar.google.com/citations?user=ca0gXCgAAAAJ&hl=es&oi=ao; https://scienti.minciencias.gov.co/cvlac/visualizador/generarCurriculoCv.do?cod_rh=0000692670; https://orcid.org/0000-0002-3757-9410; https://orcid.org/0000-0003-0367-8143
This document presents the design, implementation, and evaluation of a Field-Oriented Control (FOC) system applied to the rotor position control of a Siemens 1LA7 070-4YC60 induction machine. The main objective was to develop a control strategy that decouples flux and torque, ensuring a precise and stable dynamic response to variations in load and reference. The project was structured in phases that included machine modeling, compensator design, simulations in a MATLAB/Simulink environment, and experimental implementation using hardware provided by the MEM research group. The experimental results demonstrate robust performance of the FOC system: the current loop showed response times of less than 25 ms without overshoot; the speed loop, although initially affected by noise, was stabilized through digital filtering; and the position loop achieved steady-state stability, although overshoot occurred during transients due to the lack of integral action. Furthermore, an energy conversion efficiency exceeding 78% was achieved at full load. This work contributes to academic training by integrating theory, simulation, and practice, and lays the groundwork for future developments in advanced control of electrical machines in industrial and educational contexts.
AUTOMATIZACIÓN DE INFORMES DIARIOS DE LA MESA DE SERVICIO EN POWER BI MEDIANTE CONSULTAS SQL BANCO DE OCCIDENTE
(Universidad Santo Tomás, 2026-01-25) Leiva Bonilla, Laura Natalia; Gutiérrez Cáceres, Edgar Andrés; Chaparro Becerra, William Fabian
In the banking sector, the prompt and efficient management of incidents, requests, and tasks is essential to ensure operational continuity and guarantee end-user satisfaction. Proper handling of these processes not only secures the stability of services but also contributes to strengthening customer trust and safeguarding the institution’s reputation. Currently, within the Service Desk, the generation of daily reports is carried out manually through Oracle queries and the use of Excel spreadsheets. While this method has made it possible to maintain a basic level of operational control, it remains a repetitive task that is highly dependent on human intervention. This increases the likelihood of errors and delays the availability of critical information. Furthermore, this procedure limits the ability to conduct accurate, in-depth, and timely data analysis, while also demanding a considerable amount of time and resources. This project proposes the automation of these reports through the implementation of interactive dashboards in Power BI, enabling a clearer, faster, and more dynamic visualization of information. By establishing direct connections to data sources, eliminating manual processes, and incorporating intelligent measures and advanced filters, the goal is to optimize data analysis and facilitate the interpretation of key performance indicators. In doing so, the project seeks to strengthen strategic decision-making and ensure efficient, reliable, and real-time data analysis.
Sistema de gestión para la reducción de tiempos en los procesos de selección de monitores, desarrollo y evaluación de monitorías de la Universidad Santo Tomás usando Power Platform.
(Universidad Santo Tomás, 2026-01-22) Barrera López, Diego Alejandro; Rincón Cárdenas, Daniel Felipe; Vitola Oyaga, Jaime; Segura Torres, Darío Alejandro; Universidad Santo Tomás
This project describes the development of a system for managing the selection, development, and evaluation processes of academic monitors at Universidad Santo Tomás, using Microsoft's Power Platform tools. Previously, these processes were carried out manually through approximately 56 Excel files, resulting in a high workload and significant time consumption for those involved, especially the staff of the Student Development Coordination. In response to this situation, the main objective was to develop a support system for the monitor selection, development, and evaluation processes at Universidad Santo Tomás, by using the Power Platform toolset to reduce the time required for these procedures. The process began with the collection of requirements from the Student Development Coordination, using use case diagrams. Then, an evaluation of Power Platform tools was conducted to determine the most suitable ones for visual interface development, business logic, and data storage. Based on the requirements, the data model and software mockups were designed, followed by the system’s development using three specific Power Platform tools. Finally, a functional test was carried out in the Faculty of Electronic Engineering with a group of students to verify the correct operation of the system and its compliance with the established requirements. The results showed a significant reduction in the time and effort required to carry out the entire monitoring process, especially in the creation of the call for applications, monitor selection, and their final evaluation.
Implementación de un sistema de reconocimiento de comandos de voz en sistemas embebidos orientado a entornos domóticos y al desarrollo de una guía de laboratorio
(Universidad Santo Tomás, 2025-06-01) Vargas Cruz, Sergio Emiro; Melo Suarez, David Ricardo; Mojica Casallas, Carlos Javier; Universidad Santo Tomás; https://scienti.minciencias.gov.co/cvlac/visualizador/generarCurriculoCv.do?cod_rh=0000639214; https://orcid.org/0000-0002-3757-9410
This project presents the design and implementation of a voice command recognition sys tem on an embedded platform aimed at controlling home automation devices. The system is based on the TMS320C5535 digital signal processor, integrating TLV320AIC3204 audio co dec and a UART interface with an Arduino to toggle actuators voice commands. It includes complete stages of audio acquisition, preprocessing (silence removal, Z-score normalization, pre-emphasis, and windowing), feature extraction using Mel-frequency cepstral coeficients (MFCC), and classification using three models: Dynamic Time Warping (DTW), Gaussian Mix ture Models (GMM), and Euclidean Distance with CMVN normalization. Results indicate that GMM achieves the best trade-off between accuracy (86 % under noisy conditions) and compu tational efficiency. A complementary lab guide was developed to enhance the learning of digital signal processing and to encourage student engagement in this key area of electronic enginee ring.
DESARROLLO DE UN PROTOTIPO DE SIMULADOR DE PACIENTE PARA SATURACIÓN DE OXIGENO (SpO₂) OPEN SOURCE
(Universidad Santo Tomás, 2025-12-16) Higuera Aponte, Duvan Felipe; Morales Camacho, Daniel Alejandro; Alvarez Castañeda, William Fernando; Casallas Gutierrez, Jose Ricardo; Universidad Santo Tomas
This project presents an open-source prototype of an oxygen-saturation (SpO₂) patient simulator designed to improve the technical and functional evaluation of biomedical pulse-oximeter sensors under controlled physiological conditions. The simulator reproduces adjustable SpO₂ levels from 70% to 100% using an ESP32 microcontroller, DAC modules, LEDs at 660 nm and 940 nm, and photodetectors, thereby emulating the optical principles of pulse oximetry based on Beer–Lambert attenuation. The platform enables repeatable test profiles and parameter fine-tuning for education, verification, and maintenance workflows.
Diseño de una propuesta para el sistema de protecciones, control y supervisión dentro de la subestación eléctrica de 34,5 KV en sidenal S.A planta Tocancipa
(Universidad Santo Tomás, 2006) Castro Tiria, Magda Carolina; Universidad Santo Tomas
Estudio de factibilidad para un banco de ensayos de funciones tiempo y distancia aplicado a taximetro en la ciudad de Tunja
(Universidad Santo Tomás, 2006) Molina Ortega, Andres leonardo; Universidad Santo Tomas
Amplificadores de bajo ruido - etapa de recepción en un modulo RF implementando MWO
(Universidad Santo Tomás, 2006) Rodríguez Medina, Carlos Ernesto; Universidad Santo Tomas
Análisis de la capacidad y distribución de la red eléctrica de los laboratorios de ingeniería electrónica de la universidad Santo Tomás sede Centro
(Universidad Santo Tomás, 2009) Jiménez Cardozo, Édison Ferney; Universidad Santo Tomas
Automatización del proceso de deshollinado de la unidad III usando un controlador lógico programable (PLC) central termoeléctrica - Paipa
(Universidad Santo Tomás, 2005) Ayala C., Evelyn Stella; Guayacundo M, Dana Marcela; Universidad Santo Tomas
Diseño de un analizador de armonicos trifásico de 220V A.C Con capacidad de analisis de orden 60
(Universidad Santo Tomás, 2007) Cortes Bonilla, William Havid; Universidad Santo Tomas
Diseño de un dispositivo electrónico de diatermia capacitiva para el manejo del dolor en fisioterapia con énfasis en el control de la dosificación
(Universidad Santo Tomás, 2025-12-09) Peralta Restrepo, Christian Rolando; Gelvez Lizarazo, Oscar Mauricio; https://scienti.minciencias.gov.co/cvlac/visualizador/generarCurriculoCv.do?cod_rh=0001342623; https://scienti.minciencias.gov.co/cvlac/visualizador/generarCurriculoCv.do?cod_rh=0002355613; https://scholar.google.com/citations?user=XOhDruwAAAAJ&hl=es&oi=ao; https://orcid.org/0000-0001-6858-5293; https://orcid.org/0009-0003-5973-6303
This project presents the design and development of a capacitive diathermy device for pain management in physiotherapy, with emphasis on precise and safe control of energy dosage. Capacitive diathermy is a technique recognized for its therapeutic benefits in the treatment of musculoskeletal disorders, since it uses high frequency currents to generate deep heat in the tissues, improving circulation, accelerating cell regeneration and reducing pain. However, its effectiveness depends on the devices’ ability to customize treatment to the individual needs of each patient, a limitation identified in currently available equipment. The aim is to develop a device that allows adjustment of key parameters such as treatment intensity, duration and temperature, through the use of a high-frequency transformer and an interactive touch interface. This design includes the simulation of electrical circuits, the implementation of a functional prototype and its technical validation through performance tests, comparing parameters such as power, time and temperature with existing devices on the market. The project is limited to the design and technical implementation of the prototype, excluding clinical trials with patients. The expected results seek to offer an innovative solution that optimizes physiotherapeutic treatments, guaranteeing greater safety and personalization.
Implementación de un sistema de monitoreo y alarma para la prevención de averías causadas por humedad y temperatura en un cuarto de máquinas de la casa b2 en el conjunto agua marina club campestre en el municipio de Flandes Tolima
(Universidad Santo Tomás, 2025-12-03) Rueda Galindo, Luis Miguel; Gelvez Lizarazo, Oscar Mauricio; Martínez Vásquez, David Alejando; Universidad Santo Tomás; https://scienti.minciencias.gov.co/cvlac/visualizador/generarCurriculoCv.do?cod_rh=0001342623; https://scienti.minciencias.gov.co/cvlac/visualizador/generarCurriculoCv.do?cod_rh=0002343442; https://scholar.google.com/citations?user=XOhDruwAAAAJ&hl=es&oi=ao; https://orcid.org/0000-0001-6858-5293
This thesis project focuses on the implementation of a monitoring and alarm system for the prevention of damage in the equipment of a machine room in a residence of Club Campestre Agua Marina, in Flandes, Tolima. The hot and humid climatic conditions of the region cause problems such as corrosion and oxidation in the pumping equipment, which compromises its operation and the quality of the water supplied. The proposed system aims to detect critical humidity and temperature conditions and alert personnel to take corrective and preventive actions. The project includes the installation of IoT sensors at strategic points for continuous monitoring of environmental variables. The collected data is processed and analyzed using polynomial regression, Random Forest and Kendall correlation techniques to evaluate the impact of motor pump temperatures in relation to the overall temperature of the machine room. Finally, the system generates visual and audible alerts and has an emergency shutdown mechanism, both manual and automatic. In addition, the project highlights the economic and public health benefits. The document details the criteria for sensor selection, IoT network configuration, device protection and calibration, and the development of an offline prototype.

Examinar

Envíos recientes