Ingeniería en Control

URI permanente para esta colecciónhttp://hdl.handle.net/11349/1899

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  • Ítem
    Desarrollo de un algoritmo de auto ensamblaje y generación de movimientos para un robot modular (tipo cadena) utilizando un sensor Kinect
    (Universidad Distrital Francisco José de Caldas.) Caro Montes, Andrés Felipe; Piza Segura, Arley Felipe; Hernández Martínez, Henry Alberto; Pedraza Martínez, Luis Fernando
    This article presents the development of an algorithm that enables the self-assembly of the EMERGE modular robot in three different morphologies. The Kinect sensor was used as the primary data acquisition source, and the information provided by this sensor underwent digital signal processing to individually detect the modules in a workspace. The individual detection of the modules assigns a location to each of them in the workspace, which served as the basis for developing a trajectory that executes movement tables suitable for the self-assembly process in chain, L, and T morphologies. The algorithm was developed in Python, which included a user interface to visualize the real-time processing of computer vision and detect the necessary trajectory ranges for the robot's self-assembly in the selected morphology. Comparative tables were also created to analyze the robot's movements. It was found that, to minimize significant deviations and rotations with the highest possible precision, it was necessary to start with at least three modules.
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    Implementación de sistema de control de acceso biométrico para los datacenters de la Universidad Distrital Francisco José de Caldas
    Patiño Higuera, Juan Camilo; Guzmán Ibarra, Ivon Alexandra; Pedraza, Luis Fernando
    The UDNET Data Network of the Universidad Distrital Francisco José de Caldas is responsible for the control and monitoring of the university's four datacenters, which house active telecommunications equipment. These datacenters are physical facilities used to host computer systems and associated components, such as servers, storage devices, and networking equipment. Therefore, these spaces must have secure access systems where only authorized personnel can enter. To ensure this, biometric modules capable of analyzing the fingerprints of personnel who need and are authorized to enter were implemented. The project, based on the "Implementation of a Biometric Control System to Permit and Support Access and Security in the Datacenters of the Universidad Distrital Francisco José de Caldas," focuses mainly on improving security and access control in the institution’s datacenters. These facilities are equipped with biometric sensors for the entry of authorized personnel; however, recently, the server that controlled access suffered irreparable damage, leaving the datacenters without adequate access control. Given this critical situation, the project will focus on the installation and configuration of a new biometric control system. Consequently, the process to implement a server capable of hosting advanced security management software that will replace and improve the existing access control system will be outlined. The implementation will ensure compliance with the law governing personal data protection under Law 1581 (2012). The implementation will be carried out in collaboration with the Data Network workgroup responsible for the university's IT security over 16 weeks, during which measurements, tests, configurations, and investigations will be conducted.
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    Modernización del sistema de control y automatización en máquina de embutidos Poly-Clip
    Cáceres Téllez, William German; Giraldo Ramos , Frank Nixon; Giraldo Ramos, Frank Nixon [0000-0001-8407-1831]
    With the development of this document, and as a degree modality, I wanted to share with you this beautiful development process of my learning stage as an intern. This was developed in the city of Bogotá at the facilities of ATELCRO SAS, the company in charge of the supervision, control and development of the internship stage, in addition to this, the execution of the improvement project as an essential requirement for this document. This project mainly requires the execution of a series of objectives for the development of the improvement project, following the recommendations of the tutor and evaluator assigned by the company and the university as a development agreement between the parties, who contributed to make this project go ahead, and at the same time train people capable of solving and contributing acquired knowledge, in each industrial process present, thanks to this process, from its start stage, in its execution it was adopted as a project that meets the necessary requirements for the development of complementary activities of the day to day in the company, and to be able to start the execution of the improvement project. In all industrial processes, automation and control play a fundamental role in the development of these procedures, capable of solving increasingly efficient production needs, improving their production time, and controlling their variables that each process has in its execution stage. Mainly, a solution was given to a problem previously established in the production process of the sausage machine (food area), given that it did not have the necessary elements for its optimal operation, an update was needed in some of its components, such as its control panel in its electrical part, where the addition of an HMI screen is made among other essential components for the development of the machine update, modifications were also made in its electrical part and the wired logic, in addition to this, electrical plans, wiring, equipment distribution were updated, the respective stamping tests, programming and the necessary documentation for the delivery of said project to the client were carried out. A series of previous requirements are adopted in order to intervene in said process, without affecting the company's production, since it has another backup machine, (Sausage Maker -POLY-CLIP) therefore it does not interrupt the development of the activities established in the food company, with this I mean that we can start accordingly fulfilling the objectives of this project, given that the delivery time of this project was given by the intervention of the mechanical maintenance process, which was developed alongside the development of the improvement project, contributing and acquiring knowledge that will be of great help for future projects, to then implement them in the work world, and in addition to this use them, as experience acquired during the elaboration and execution not only of this project, but also the other project interventions that were implemented, over time during the execution of the internship and taking into account the industrial automation processes.
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    Plan de negocios: PitStop - la comunidad digital definitiva para motociclistas
    (Universidad Distrital Francisco José de Caldas) Cárdenas Torres, Lina María; Grajales Prieto, Daniel Alexander; Giraldo Ramos, Frank Nixon; Giraldo Ramos, Frank Nixon [0000-0001-8407-1831]
    In the dynamic context of urban mobility in Colombia, motorcycles have established themselves as one of the main means of transport, representing 62% of the national vehicle fleet. Bogotá, with approximately 680 thousand motorcycles circulating every day, faces significant challenges in terms of access to quality maintenance services. This growing need, together with the rise of digital platforms, presents an opportunity to transform the way in which bikers manage the care of their vehicles (andi, 2024). The central problem identified is the lack of efficient connection between bikers and mechanical workshops. Currently, users face difficulties in finding reliable services, comparing prices and scheduling maintenance comfortably. For their part, many workshops have limited visibility and struggle to attract and retain customers in a highly competitive market. This gap represents an obstacle for both bikers and workshops, affecting service quality and road safety. To address this problem, PitStop was developed, a digital platform that connects bikers with different types of biker-oriented services, giving them access to reliable services from the comfort of their homes. The solution allows users to register their motorcycles, search for nearby workshops, reliable warehouses, trusted car washes, compare options and schedule appointments in just a few steps. At the same time, it offers workshops a tool to increase their visibility and attract new customers, creating a beneficial ecosystem for both parties. The initial results obtained with the Minimum Viable Product (MVP) are promising. During the first two months of operation, 500 users and 20 associated workshops were registered, with 25 services requested. This was thanks to a strong marketing campaign that revealed the potential of social networks in the mission of bringing Pitstop to the interest of many bikers. These data indicate positive market acceptance and validate the platform's value proposition, laying the foundation for future scaling. In conclusion, PitStop is positioned as an innovative solution that responds to the needs of an underserved market segment, with a scalable business model and a clear focus on service quality. The lessons learned during the implementation of the MVP will allow the platform to be optimized and its reach expanded, contributing to the digital transformation of the motorcycle services sector in Bogotá.
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    Automatización y mejores prácticas en control: Experiencia de pasantía en el proceso de traslado del Data Center de la UNP a Triara de Claro
    (Universidad Distrital Francisco José de Caldas) Pinto Sánchez, Victor Adolfo; Escobar Díaz, Andrés
    This thesis documents the experience, challenges, and results obtained during the internship focused on relocating the National Protection Unit’s (UNP) Data Center to Claro’s Triara Data Center. This project was crucial for the technological modernization of the UNP, whose critical infrastructure supports national security operations in Colombia. The complexity of migrating essential systems and sensitive data required high levels of planning, security, and operational efficiency, making the relocation a significant challenge. The primary goal was to implement advanced automation and control practices to ensure operational continuity and minimize the migration’s impact on the UNP's critical services. An automated planning system was designed using tools like Microsoft Project, enabling optimized management of phases, resources, and risks. As a result, system downtime was reduced by 75%, from 8 hours to 2 hours, ensuring uninterrupted protection services. Integrated control systems were developed and deployed to monitor and regulate both the physical and logical security of the Data Center, utilizing real-time platforms like Nagios. These systems ensured 99.9% availability during the migration, significantly minimizing the risk of service interruptions or system failures. Additionally, the project included the optimization of the technological infrastructure through the adoption of virtualization and Infrastructure as a Service (IaaS) solutions such as AWS and VMware. This optimization led to a 30% reduction in physical servers, improved scalability and performance, and achieved 15% energy savings, translating to approximately 500,000 COP in monthly operational cost reductions. The shift to IaaS also reduced dependency on physical infrastructure, enhancing the Data Center's future adaptability to technological demands. The project also involved comprehensive documentation and traceability following international standards like ISO/IEC 27001 and TIA-942, ensuring compliance, transparency, and the facilitation of future audits. Collaboration with the XUE Research Group from the Universidad Distrital Francisco José de Caldas was critical to the project's success. Their contributions in applying best automation and control practices and integrating emerging technologies helped overcome the technical challenges and improve the UNP’s technological infrastructure efficiency. This project not only improved the operational efficiency and security of the UNP’s infrastructure but also generated significant cost savings while maintaining the integrity and availability of critical national protection services. This project not only improved the operational efficiency and security of the UNP's technological infrastructure, but also generated significant savings in operating and energy costs, while maintaining the integrity and availability of critical protection services nationwide.
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    Prototipo de sistema de control de acceso utilizando tecnología RFID
    (Universidad Distrital Francisco José de Caldas) Buendía Rincón, David Santiago; Giraldo Ramos, Frank
    The company HBM TECHNOLOGIES has always stood out for offering innovative solutions according to the needs of the client or the companies to which it offers software services. The services offered by this company are the development of web pages, web applications and mobile applications. designed specifically to meet the unique needs of your company. In this context, they have been developing a School Management System application for several years, which has led them to incorporate, at the request of clients, a prototype of a robust access automation system that is integrated into the application that they have been developing for several years. During the internship at the HBM TECHNOLOGIES company, we identified several goals and challenges that we had to face and overcome in this process, which was to design and integrate the prototype attendance automation system with RFID technology to its School Management system; This automation system had the characteristic that it had to be a system that processed information in the shortest possible time, and that the cost of this prototype was a differential factor in the market that made it unique. Which was going to provide an innovative and scalable solution to the company. Faced with this challenge, with the skills and knowledge that we acquired throughout the training at the Francisco José de Caldas District University, we presented, integrated, developed and implemented an innovative solution that was going to optimize the process of collecting assistance information, in addition to provide an entire scalable system, which will become a pioneer in the following reforms and implementations that the company HBM TECHNOLOGIES wants to make to its School Management system. As a result, a prototype of an assistance automation system with RFID technology was developed, which is a robust, scalable system that will improve efficiency and implement new functions in the SIGEE application of the company HMB TECHNOLOGIES.
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    Sistema de transmisión de datos segura: integración de Micropython y Criptografía AES-CTR
    Ruiz Vega, Nicolas Enrique; Giraldo Ramos, Frank Nixon; Giraldo Ramos, Frank Nixon [0000-0001-8407-1831]
    The purpose of this monograph is to present a monitoring system based on microcontrollers to protect sensitive data through secure communications. In a context where cyber threats are increasingly frequent and sophisticated, it is essential to have solutions that ensure the integrity and confidentiality of information. The method to be presented integrates technologies such as MicroPython and Java, along with the Spring Boot and Angular frameworks, to develop a secure environment that prevents unauthorized access and attacks. The system design focuses on creating an efficient framework that not only monitors data but also facilitates its management, allowing for a quick response to security incidents by implementing encryption algorithms and secure communication protocols. The goal is to offer a comprehensive solution that minimizes the risks of data leaks and ensures data security. A monitoring system based on microcontrollers is included, specifically using MicroPython for data acquisition and transmission. As a strategy, the “AES-CTR” encoding algorithm was imported to encrypt the data and ensure confidentiality during transmission. Additionally, WebSockets are utilized to guarantee real-time communication between the microcontroller and server, providing system-level security. This type of system is not only an efficient way to handle data but also a robust environment to prevent unauthorized access and cyberattacks. The results obtained after implementing the system have been encouraging. Tests conducted indicate that the combination of MicroPython and Spring Boot has enabled efficient and secure data transmission. A notable reduction in communication latency was recorded, improving user experience when monitoring data in real-time. Furthermore, the security analysis performed with tools such as Wireshark demonstrated that encrypted data is hardly accessible to potential attackers. In conclusion, this work not only addresses existing vulnerabilities in embedded systems but also establishes a model for future applications in environments where data security is of great importance.
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    Innovación en el diseño de mecanismos de cuatro barras (MCB): aplicación integrada de desigualdades de Hlawka-Grashoff junto a controladores tipo PID con MatLab
    Delgado Almendrales, Jhon Sebastián; Medina Lelek, Alexandra Carolina; Vacca González, Harold; Vacca González, Harold [0000-0001-7017-0070]
    Introduction: This research carries out an applied and exploratory study of four-bar mechanisms (FBM), focusing on geometric constraints for an advanced analysis that facilitates the understanding of design, construction and kinematics, aimed at practical applications in engineering and education. Problem: Traditionally, FBM design has been based on the theory of mechanisms and machines, without incorporating advanced geometric mathematical constraints such as the Hlawka inequality. This omission limits the ability to comprehensively optimize these systems for specific applications. Objective: Develop software in Matlab that integrates mathematical criteria based on the Hlawka and Grashof inequalities, also applying the Lagrangian for kinematic analysis and PI, PD and PID controllers for system dynamics using FBM. Methodology: An integrated approach that combines geometric, kinematic and control analysis was used for FBM, developing an algorithm based on the Hlawka inequality. It was complemented by the creation of software in Matlab that adjusts drivers according to Grashof's law. Validation was performed using graphical comparisons and mean absolute error (MAE) analysis with a relevant case study. Results: This project highlights the potential of an innovative mathematical approach in the design of four-bar mechanisms (FBM), significantly enriching their practical and training application. Furthermore, it sets an important precedent for future research, proposing new avenues of study and exploration in advanced kinematics and mechatronic design, thus paving the way for innovative developments in fields related to engineering and technical education. Conclusion: This project establishes a baseline for applications of FBM synthesis in control implementations, and brings the user closer to the manipulation of parameters and variables through software that guarantees the understanding of the phenomenon for the design and construction of devices. Originality: This study introduces a novel approach by integrating Hlawka inequality into FBM design, establishing a pioneering framework for future research and technological development. Limitations: Restrictions of the study arose from the paucity of specific comparative data available, underscoring the need for future research for further evaluation.
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    Sistema de monitoreo y control a distancia por medio de una red LoRaWAN en el marco de internet de las cosas para aplicaciones académicas
    (Universidad Distrital Francisco José de Caldas) Pores Castellanos, Juan Diego; Cortés Parra, Juan Carlos; Escobar Díaz, Andrés
    It is becoming more common to see how the business and industrial sector migrate to new technologies that, as Đuričin and Herceg[2] mention, combine the physical, digital and biological worlds, which within the framework of industry 4.0 allow not only the automation of a certain stage of the process but also the joint intervention of this, creating an integral effect in interrelated stages that allows progress in the growth of profits, the development and transformation of products, and the same customer experience[2]. The project described here implements a network with LoRa technology, through a raspberry pi 3B and a RAK2245, a gateway connected to the internet is configured that under the LoRaWAN standard communicates through radio frequencies with nodes that collect the information that will then be managed in the cloud with “on clouting” tools such as: “The Things Stack” and “Thing board”. Thus, configuring a telemetry and data analytics platform that provides the user with an information approach where variables are interrelated and whose perspective as a whole facilitates decision-making and value creation. The wireless network developed in this project has two nodes, each formed by an HTCC AB01v2 board and sensors that verify the level of two liquids: oil and diesel, essential components in an engine and therefore in the power generation industry, and through its telemetry, an approach to industry 4.0 is implemented through arithmetic and databases that facilitates the creation of maintenance plans, process transformation and remote customer experience with equipment located in hard-to-reach areas where the national power grid does not reach.
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    Aplicación basada en software para detectar Glioblastoma a partir de imágenes de resonancia magnética en formato DICOM utilizando un modelo de red neuronal de aprendizaje profundo.
    Mazorca Espitia, Juan David; Alonso Castro, Cesar Camilo; Hernández Martínez, Henry Alberto
    In the current context of technological advances, early and accurate diagnosis of diseases complex such as glioblastoma multiforme (GBM), an aggressive type of brain tumor is essential to improve treatment opportunities and patient survival. The proliferation of digital medical imaging, especially magnetic resonance imaging (MRI) in DICOM format, offers a rich source of data for the identification and analysis of these pathologies.The problem addressed in this work is the need for automated and precise methods for the Detection of glioblastomas on magnetic resonance images. Traditionally, the analysis of These images have depended on manual interpretation by radiologists, which can be a subjective, slow and error-prone process. The main objective of the project is to develop a support system that uses deep neural networks to automatically analyze and detect the distinctive features of glioblastoma on DICOM images.The proposed solution consists of an application with a graphical interface developed in Tkinter, which allows users to upload and view DICOM images, perform preprocessing necessary, and apply a trained convolutional neural network model to identify and highlight suspicious areas of tumor. The implementation of this tool not only seeks to increase the accuracy in detecting glioblastoma, but also speed up the diagnostic process and reduce the workload of medical professionals. The results obtained so far have shown that the system is capable of identifying characteristics of glioblastoma with a degree of accuracy of 91.84% and a precision of 87.5% in reference to patients with glioblastoma tumor on T2 MRIs taken in axial plane. During testing, the neural network model generated accurate predictions in comparison with diagnoses previously made by experts. These findings suggest that The app has the potential to be a valuable support tool in clinical settings. In the current context of technological advances, early and accurate diagnosis of diseases complex such as glioblastoma multiforme (GBM), an aggressive type of brain tumor is essential to improve treatment opportunities and patient survival. The proliferation of digital medical imaging, especially magnetic resonance imaging (MRI) in DICOM format, offers a rich source of data for the identification and analysis of these pathologies.The problem addressed in this work is the need for automated and precise methods for the Detection of glioblastomas on magnetic resonance images. Traditionally, the analysis of These images have depended on manual interpretation by radiologists, which can be a subjective, slow and error-prone process. The main objective of the project is to develop a support system that uses deep neural networks to automatically analyze and detect the distinctive features of glioblastoma on DICOM images. The proposed solution consists of an application with a graphical interface developed in Tkinter, which allows users to upload and view DICOM images, perform preprocessing necessary, and apply a trained convolutional neural network model to identify and highlight suspicious areas of tumor. The implementation of this tool not only seeks to increase the accuracy in detecting glioblastoma, but also speed up the diagnostic process and reduce the workload of medical professionals.The results obtained so far have shown that the system is capable of identifying characteristics of glioblastoma with a degree of accuracy of 91.84% and a precision of 87.5% in reference to patients with glioblastoma tumor on T2 MRIs taken in axial plane. During testing, the neural network model generated accurate predictions in comparison with diagnoses previously made by experts. These findings suggest that The app has the potential to be a valuable support tool in clinical settings.
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    Equimedtronic
    Garcia Romero, Luis Fernando; Rojas Castellar, Luis Alejandro
    Equimedtronic is a business plan that is presented as a solution so that IPS that have Fujifilm brand endoscopy equipment can contract preventive, corrective maintenance and repair services, guaranteeing high quality of service and offering a reasonable cost, in such a way that Health service providing institutions can ensure timely care for the patient and provide security in the endoscopic procedure.
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    Diseño de software para automatización del conteo de frutos mediante inteligencia y visión artificial
    Castañeda Puentes, Emily; Rivera Moreno, Sebastian; Nixon Giraldo, Frank; Nixon Giraldo, Frank [0000-0001-8407-1831]
    Currently, automation and artificial intelligence are transforming various industries, including agriculture. As the demand for efficiency in agricultural production processes increases, the development of technological tools that optimize essential tasks, such as real-time fruit counting, becomes necessary. This need arises in a context where precision and speed are crucial to maximizing production and reducing costs. The main problem lies in the difficulty of performing manual or semi-automatic fruit counting, which is a laborious process, prone to human error, and costly in terms of time and resources. Traditional solutions, based on manual visual monitoring or low-precision technologies, are not sufficient to meet the current needs of the sector. In response to this issue, a software based on artificial intelligence and computer vision has been developed to automate the fruit counting process in agricultural environments. The system uses advanced image processing algorithms and IA techniques to identify, classify, and count fruits with high accuracy, providing real-time results. The results obtained show that this solution is much more efficient than traditional methods. Processing time is significantly reduced, and the accuracy in fruit counting improves, which optimizes agricultural production overall and helps reduce errors and waste. In conclusion, this work presents a viable solution for automating fruit counting, offering a more precise and efficient alternative compared to conventional techniques. The implementation of this system can make a significant difference in the productivity of the agricultural sector and its competitiveness in the global market.
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    Análisis lineal en el dominio del tiempo de la estabilidad estática en personas con amputación transtibial unilateral
    (Universidad Distrital Francisco José de Caldas) Liz Lis, Agustin; Pérez Ducón, Omar; Luengas Contreras, Lely Adriana; Luengas Contreras,Lely Adriana [0000-0002-3600-4666]
    Objective: To evaluate static postural behavior in the time domain in individuals with unilateral transtibial amputation compared to non-amputated subjects. Methodology: Static postural behavior in the time domain was assessed in 10 individuals with transtibial amputation (SAT) and 10 without amputation (SNA) using measurements from piezoelectric instrumented insoles of the center of pressure (CP). Parameters including CP trajectory excursion, CP velocity, range, RMS value, average amplitude, maximum and minimum amplitude were calculated for all these parameters in both anteroposterior and mediolateral directions. Results: Significant differences were found between the SAT and SNA groups in all parameters and in both directions (p<0.05). Both groups showed a preference for variation in the anteroposterior direction; however, the TAA group exhibited high variability in measurements in this direction. Conclusions: The findings may provide valuable insights into how amputation and prosthetics can influence the stability and balance of individuals, which could be useful in rehabilitation processes and the design of prosthetics aimed at improving the quality of life of this population. Financing: This scientific research article is derived from the research project "Application of clustering as a method for discriminating plantar pressure distribution in individuals with transtibial amputation," funded by Universidad Distrital Francisco José de Caldas, Bogotá, Colombia. Keywords: Linear analysis, transtibial amputees, postural control, static stability, posturography.
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    Sistema para clasificación de piezas por visión artificial aplicado a un prototipo de brazo robótico en una banda transportadora vía aplicación WEB
    Escobar Prieto, Santiago; Díaz Beltran, Lizandro; Giraldo Ramos, Frank Nixon; Giraldo Ramos, Frank Nixon [0000-0001-8407-1831]
    Today, the industry demands efficient and precise solutions for its production systems, as there is a constant change and update of technology. In order to increase productivity and reduce human errors, as well as reduce maintenance costs and installation of sensors and human intervention, using artificial vision seems to be a great solution when classifying parts, with technological advances and current tools, images can be obtained and processed in order to identify parts. The project seeks to address current challenges in the industry, such as the need for automation and process optimization. The designed system is expected to allow for fast and accurate sorting of parts, reducing labor costs and minimizing errors associated with traditional sorting methods. For this reason, it is necessary to create a part classification system, in addition to allowing the monitoring of these, the system has artificial vision and can be monitored through a web application, reviewing the data of how many parts have been classified, what type of part is being classified, creating a local server where the information obtained from both the user and the parts that have been classified is stored. thus reducing human intervention in the process and improving the quality of production. This is expected to provide a comprehensive and efficient solution for parts sorting systems, for meet the needs of the industry, improving productivity, accuracy and quality of the end Products
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    Mejoramiento y automatización de procesos en la mesa de ayuda tecnológica de la UNP: construyendo procedimientos e implementando los servicios.
    Trujillo Vera, Joan Santiago; Escobar Díaz, Andrés
    The National Protection Unit (UNP) has undertaken a critical digital transformation process with the aim of optimizing its technological services, thus responding to the complex needs of attention and protection it faces in its work. To address this challenge, UNP has decided to contract the Universidad Distrital under agreements 1082 and 1579 of 2023, with the purpose of implementing a set of nine practices from the ITIL V4 standard. This collaboration is justified by the need to establish a solid framework that ensures the quality and effectiveness of service delivery, as well as to strengthen the operational capacity of the entity.
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    Desarrollo de software con conexión OPC para comunicación bidireccional entre PLCs de diferentes marcas a una base de datos centralizada, visualizando y modificando la información a través de una aplicación multiplataforma
    Gómez , Nelson Eduardo; García Barrera, Carlos Fernando; Porras Bohada, Jorge Eduardo
    In response to current challenges in the industrial field, this project aims to develop an innovative solution that addresses key problems such as the lack of access to real-time data remotely, inefficiency in the management of programmable logic controllers (PLCs) of different brands, and the complications in the storage and analysis of historical information. The proposal consists of creating software with OPC connectivity, which will allow effective bidirectional communication between PLCs and a centralized database. This platform will be complemented with a cross-platform application, designed to offer an intuitive interface that facilitates both the visualization and modification of operational data.
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    Diseño e implementación de un control difuso de temperatura para etapa de calentamiento y enfriamiento de planta térmica del Grupo de Investigación Integra
    Noguera Barahona , Jordan Camilo; Ramos Rodríguez , Oscar Eduardo; Porras Bohada, Jorge Porras
    This project contains a proposal for the reconditioning of a thermal teaching plant of the integra research group. The thermal plant has a heating and cooling stage. It is capable of raising and lowering the temperature of the coolant that flows through 2 exchangers located in the two stages. In this project, a diffuse temperature control was implemented for the heating stage and one for the cooling stage. These 2 controls work simultaneously, functioning or ceasing to interact in the process based on the temperature of the process and the temperature to be reached. If it is necessary to raise the temperature, the diffuse heating control operates and the cooling control is used at its minimum. This methodology is applied inversely when it is desired to lower the temperature of the process. To have a functional temperature control, modifications and adjustments were made to the temperature sensors and maintenance to the actuators, which guaranteed the correct operation of the plant.
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    Complementación y documentación de la mesa de gestión de servicios tecnológicos en el plan estratégico de transformación digital con enfoque ITIL para el control y automatización de procesos en la Unidad Nacional de Protección.
    Ramírez Bejarano, Andrés Daniel ; Escobar Díaz, Andrés; Toledo Bueno, Carlos Augusto
    The internship is developed within the framework of contract 1579 of 2023 between the Universidad Distrital and the National Protection Unit (UNP), whose objective is to promote digital transformation within the UNP. This contract seeks to improve efficiency in the fulfillment of the entity's mission by integrating all its technical and administrative activities with information technology (IT). A solution based on an integral service model is proposed, which includes several lines, among which service management stands out. This line integrates the service desk and service management, both implemented in accordance with the ITIL V4 guide. A large part of the internship activities are focused on supporting the technical operation of the different levels of attention of the service desk, preparing monthly reports as part of the contractual obligations, and collaborating in the documentation of two ITIL4 practices together with the ITIL managers.
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    Diseño de un sistema de control y automatización para proyecto aerovía en Guayaquil, Ecuador
    (Universidad Distrital Francisco José de Caldas) Vargas Verdugo, Johan Mauricio; Ramirez Escobar, Jorge Federico; Alvarado Moreno, Alexander; Ramirez Escobar, Jorge Federico; Vargas Verdugo, Johan Mauricio [0009-0008-8651-0031]; Alvarado Moreno, Alexander [0009-0006-7087-1014]
    This article is part of a project design of a control and automation system implemented in the city of Guayaquil, in the new transportation system called Aerovia, it took place in 2022, with help from the Distrital University. Problem: A monitoring and control system is needed to visualize all the variables of the system, in order to verify the correct operation of all the systems and, in the event of any failure, to issue the respective alert and take immediate control actions. Objetive: To visualize in SCADA system the variables of each one of the stations of the Aerovia, in order to maintain the control and security of the whole system and guarantee the correct operation of each process involved. Metodology: PLC programming that allows to collect all the information of each one of the variables of the system, in order to send it to a SCADA that allows the operator to visualize the operation of each process. Results: The complete implementation of the 5 Aerovia stations in Guayaquil and a main control station called PMC, each one with its respective SCADA, allowing the operators of each station and the PMC to maintain constant monitoring of all the processes involved in the system, visualizing the different alerts and being able to perform control actions from the same SCADA.
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    Sistema automático para pruebas de alto voltaje ac/dc, resistencia de aislamiento y conexión a tierra INDRACONTROLS S.A.S
    Peña Choachi, Manuel Esteban; Peña Niño, Sonya Daniela; Pérez Pereira, Miguel; Pérez Pereira Miguel [0000-0001-7487-2600]
    In an environment where safety and efficiency are fundamental pillars of the industry, INDRACONTROLS S.A.S stands out by offering specialized technical services in the area of automation and control. In this context, we have developed an innovative automatic system designed to perform AC/DC WITHSTANDING VOLTAGE, INSULATION RESISTANCE, and GROUND BOND tests. This system is intended to be implemented in motors, speed drives, and other components, allowing for a detailed observation of the inspected equipment's condition. During the internship at INDRACONTROLS S.A.S, we faced the challenge of addressing the growing need to ensure the safety and reliability of electrical equipment in the industry. The problem lay in the lack of a comprehensive system that would allow automatic and efficient AC/DC WITHSTANDING VOLTAGE, INSULATION RESISTANCE, and GROUND BOND tests. This issue was compounded by the connections between the main device, GPT-9804, and the different equipment under test, as each test requires a different connection. This deficiency not only posed a risk to worker safety and test result quality but also resulted in prolonged inspection times and high operational costs. In response to this challenge, we set out to create an innovative solution that would not only address the existing limitations but also optimize the inspection process to increase productivity. As a result, we developed a workstation specifically designed to streamline the required tests. This workstation is equipped with a variety of devices that significantly improve the efficiency and validity of each test, enabling faster and more accurate inspections.