Ingeniería en Sistemas, Electrónica e Industrial
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Item Sistema de control y monitoreo para un túnel de ultracongelación de productos alimenticios en el Taller de Innovación y Desarrollo Tecnológico FISEI(Universidad Técnica de Ambato. Facultad de Ingeniería en Sistemas, Electrónica e Industrial. Carrera de Ingeniería Industrial, 2025-02) Andaluz Lascano Alvaro Ismael; Llumiguano Poma Henry Javier; Salazar Logroño Franklin WilfridoThe objective of this project was to develop a control and monitoring system for a food ultra-freezing tunnel at the FISEI Innovation and Technological Development Workshop. To achieve this, the current system was analyzed, identifying critical parameters such as temperature and operation times. Subsequently, a functional prototype was designed and implemented, integrating sensors, actuators, a programmable logic controller (PLC), and a human-machine interface (HMI). The system design included the selection of appropriate components, PLC programming for process automation, window opening and closing systems, the construction of conveyor belts, and the palletizing system. Tests were conducted with different products, and each stage of the process was evaluated, from expulsion to final output, with the aim of optimizing time and ensuring the quality of ultra-frozen products. The results showed a significant improvement in system performance, reducing manual errors and ensuring ideal freezing conditions. Furthermore, the system allows real-time monitoring, facilitating data-driven decision-making. This project contributes to the modernization of industrial processes, promoting the use of advanced technologies in the food industry and ensuring a positive impact on productivity and product qualityItem Sistema de control con visión artificial para cultivos con luz artificial(Universidad Técnica de Ambato. Facultad de Ingeniería en Sistemas, Electrónica e Industrial. Maestría en Electrónica y Automatización, 2022) Núñez Acosta, Rodrigo Santiago; Galarza Zambrano, Eddie EgbertoThe present investigation shows the design, construction and operation of two prototypes of intelligent systems for vertical crops with the application of artificial light and natural light, which optimize plant growth and eliminate the need of using fungicides and pesticides by being isolated and having an electronically controlled environment. It has been tested specifically for lettuce plantations; however, the control conditions can be adjusted for the development of other crop vegetable species. A correlation of the application of natural light and artificial light with an environment under the same conditions of temperature, humidity and drip culture system was performed; artificial vision was used to verify the growth optimization and verify the efficacy of artificial light, by taking samples every so often and applying the Open CV color and edge techniques.