Ingeniería en Sistemas, Electrónica e Industrial
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Item Sistema automatizado de dosificación de alimentos y control de condiciones climáticas con tecnología IoT, para la crianza de pollos en la Avícola San José en el cantón Salcedo(Universidad Técnica de Ambato. Facultad de Ingeniería en Sistemas, Electrónica e Industrial. Carrera de Telecomunicaciones, 2024-08) Satuquinga Congacha, Evelin Lissette; Altamirano Meléndez, Santiago MauricioIn this work, a feed dosing and environmental conditions control system with IoT technology was implemented for chicken farming in Salcedo Canton. Traditionally, this activity is done in an artisanal way, without technologies that optimize productivity. The system uses a local Raspberry Pi server to manage sensor data through ESP32 microcontrollers. Weight sensors measure the amount of feed in the troughs, and servomotors are responsible for controlling the proper distribution. Solenoid valves regulate the water supply, and relays control lighting, curtains and heaters. Environmental sensors detect temperature, humidity and CO2 levels inside the house, ensuring an optimal environment for bird welfare. The entire system is controlled and monitored by the IoT Home Assistant platform, using ESPHome and the MQTT protocol for communication via WiFi. Finally, with the automated system it was possible to reduce the distribution time, feed wastage of 1152.14 kg and increase bird weight by 0.1 kg. In conclusion, the automated system is important for poultry farms, both small and large, as it provides proper management in the rearing of birds and makes the feeding and climate control process more controlled, accurate and effectiveItem Sistema de control y monitoreo de leche en crudo con aplicaciones iot para la empresa Lactozam de la ciudad de Salcedo(Universidad Técnica de Ambato. Facultad de Ingeniería en Sistemas, Electrónica e Industrial. Carrera de Telecomunicaciones, 2024-08) Espinosa Gallardo, Luis Alexander; Altamirano Meléndez, Santiago MauricioStoring raw milk properly chilled is crucial to ensure its quality and safety. Due to its high nutrient and water content, milk is prone to bacterial growth. Cooling it immediately after milking to temperatures below 4°C significantly reduces bacterial multiplication, reducing the risk of contamination and spread of pathogens. In addition, effective cooling preserves the milk's organoleptic characteristics, such as flavor and freshness, and maintains its nutritional value. This not only complies with food safety standards, but also improves product acceptance by consumers and prolongs shelf life, which is essential for logistics and distribution in the dairy industry. Therefore, an efficient cooling system is indispensable to preserve the integrity and quality of milk from milking to the final consumer. The project developed for the company LactoZam in the city of Salcedo consisted of the implementation of a control and monitoring system for raw milk using Internet of Things (IoT) technologies to optimize the quality and efficiency of production processes. Using a diversity of IoT sensors such as the PH4502C, DTH11, DS18B20 and the ultrasonic HCSR04, critical measurements such as pH, milk temperature, ambient temperature, humidity and the filling level of the reservoir tanks were monitored in real time. Data collection was managed through the connection between the ESP32 board, and the control application developed in Dart with Flutter, these data were stored in a MySQL database, allowing analysis and remote access to send alerts and notifications on the current status of the milk. In contrast to previous manual methods, the automated system provided more consistent and accurate measurements, reducing errors and allowing rapid intervention in the event of deviations. The implementation of this system not only demonstrated high reliability, with average accuracy above 90%, but also facilitated continuous control and efficient data management, emphasizing the importance and benefits of integrating advanced technologies in the dairy industry.Item Microhuerto inteligente aplicado al cultivo hidropónico de la lechuga(Universidad Técnica de Ambato. Facultad de Ingeniería en Sistemas, Electrónica e Industrial. Carrera de Ingeniería en Electrónica y Comunicaciones, 2022-09) Jinde Jinde, Juan Abel; Pallo Noroña, Juan PabloThe objective of this research work is to design an intelligent control system for a hydroponic greenhouse NFT (Nutrient Film Techiquel) that is focused on the cultivation of curly lettuce (sativa var. Crispa). The system was developed to implement the use of technologies for the agricultural sector, speed up harvest time, using a small physical space to cultivate on a large scale, ensuring the quality and sanitation of the products, highly recommended for human consumption. As for the electronic part, it is composed of a controller board with a CortexM3 ARM microcontroller, it has standard WiFi connectivity for monitoring variables, connectivity with an IoT platform and an application developed for Android Os, as well as local visualization with an HMI touch screen. Sensors pH, electrical conductivity, temperature, humidity, light intensity, and level are those that collect the data for the monitoring and automation of nutritional solutions with PID control, onoff control for ventilation, tank filling and system start-up led light. LED light covers the red and blue colors of 450-680 nm wavelength of the electromagnetic spectrum, the importance of lighting helps increase biomass through the absorption of light in the photosynthesis process increasing the time of daylight DLI. Due to the results, the system developed for hydroponic cultivation helps with the saving of economic, human and water resources. There fore, it is profitable and can bring great benefits to farmers, the ecosystem, and consumers.Item Sistema dosificador automático de alimento para alevines de trucha, en función de su biomasa determinada por un sistema de visión artificial en la finca del señor Ortiz del cantón Salcedo(Universidad Técnica de Ambato. Facultad de Ingeniería en Sistemas, Electrónica e Industrial. Carrera de Ingeniería en Electrónica y Comunicaciones, 2022-09) Sasig Muso, Pedro Rodrigo; Altamirano Meléndez, SantiagoThe present research project proposes the development of a feed dispenser for trout fingerlings, this system is complemented by an artificial vision system to determine the biomass of the fingerlings and according to that information, calculate the daily food ration that the fish should eat. The dispenser and the artificial vision system are designed to be compatible with the internet of things (IOT). Therefore, the dispenser has an ESP32 for its operation. Meanwhile, the artificial vision system works with a raspberry Pi. These development boards are compatible with internet connection. This allows the artificial vision system to send the number of fingerlings it has counted, their biomass and the feeding routine to the Firebase database once it has completed its task. The dispenser takes this data and uses it to start dispersing the food according to the defined schedule. In addition, the user can control and view the parameters of the dispenser's feeding schedule through a mobile application developed in React Native or through a web platform developed in React. Feeding routine settings can be edited from both web and mobile platforms, according to user needs. The implementation of this system, it allows to contribute the field of pisciculture with a reliable feed dispenser that fulfills the task of feeding the fish and, in addition, provide additional parameters such as the number of fingerlings and their weight.Item Sistema de monitoreo para la avícola “san miguel” con una red de sensores inalámbricos basados en la tecnología LPWAN(Universidad Técnica de Ambato. Facultad de Ingeniería en Sistemas, Electrónica e Industrial. Carrera de Ingeniería en Electrónica y Comunicaciones, 2022-09) Orosco Tonato, Ángel Leonardo; Castro Martin, Ana PamelaThe present research work describes the development of a monitoring system for the "San Miguel" poultry farm with a network of wireless sensors based on LPWAN technology located in the province of Cotopaxi, canton of San Miguel de Salcedo, in this way the operators of the shed of chickens will be informed at all times about the environmental conditions such as: temperature, humidity, lumens and existing CO2 concentration. The prototype monitoring system with Lora and IoT technology has 3 important elements: two slaves nodes (Node 1 and 2), one master node (Node 3), and a IoT servers for mobile devices such as computers or laptops. The Lora ESP32 microcontroller was used for the monitoring system. Node1 has 4 sensors to measure temperature, humidity, lumens, and CO2. Node 2 has 3 sensors for measuring temperature, humidity and lumens. Data collected by Node 1 and 2 is sent to Node 3. IoT server called Thinger.io receives data from Node 3, this data is shown in a user interface. An appmovil was developed with the application tool of RemoteXY cloud server to show the sensor data. Node 3 can send alarms of high temperature, low temperature and high concentration of CO2 in the environment through the use of the instant messaging system that Telegram has. The automatic alarm system brings operators an easy way to kwon if environment conditions are optimal in the poultry farm. Generally, this measurement process is carried out only with the sense of touch and based on their experience in raising chickens, therefore, having an intelligent monitoring system provides an advantage in raising chickens. The implementation of the monitoring system for the poultry farm provides better management of resources such as gas from the brooders, it also allowed identifying the concentration of CO2 in the environment to adequately ventilate the shed. In addition, the knowledge of the environmental conditions in real time and an appropriate bird care improves the quality of life of chickens.Item Sistema de monitoreo de factores ambientales externos en unidades educativas céntricas del cantón Píllaro basado en Tecnología Lora(Universidad Técnica de Ambato. Facultad de Ingeniería en Sistemas, Electrónica e Industrial. Carrera de Ingeniería en Electrónica y Comunicaciones, 2021-08) Toapanta Llugsha, Cecilia Guadalupe; Ayala Baño, Elizabeth PaulinaThe present research development aims to implement a monitoring system for external environmental factors based on LoRa technology, thus making the public aware of external pollutants such as: carbon monoxide, ozone, nitrogen dioxide, sulfur dioxide, particulate matter, radiation. UV and noise pollution that exists outside the central educational units of the city of Píllaro, with the help of technological innovations in IoT, thus managing to inform and citizens to take precautions according to the situation. The system carried out has a LoRa communication configured as a means of sending data to an application server between two LoRa Nodes and a Gateway for the storage of physical variables that it measures outside the units, evaluating each of the contaminants. The project carried out has quality sensors for outdoor operation as it is designed to obtain external variables, adequately fulfilling its purpose to obtain said physical variables and send it to the network. The conditioning and obtaining variables part has an ESP32 module that obtains values from the sensors and sends these data through long-range wireless communication, this was adapted in the Arduino Code editor for easy configuration and adaptability.Item Sistema de control de tráfico vehicular aplicando la arquitectura Fog Computing(Universidad Técnica de Ambato. Facultad de Ingeniería en Sistemas, Electrónica e Industrial. Carrera de Ingeniería en Electrónica y Comunicaciones, 2021-03) Ibarra Nuñez, Edisson Miguel; Jurado Lozada, Marco AntonioABSTRACT The fog computing communications architecture allows the implementation of applications that require real time data processing, such as traffic management through intelligent traffic lights, for this reason this project focuses on the design of a traffic control system vehicle for Cevallos Avenue and Eugenio Espejo Street in the city of Ambato, which allows to process the data in real time of the traffic volume and act automatically in the traffic light time intervals. The system design is based on the installation of a fog node or server in the fog for communication, storage and data processing through Wifi wireless communication technologies, 4G LTE cellular mobile phone networks, Mqtt and WebSocket communication protocols for IoT devices and a programming algorithm which allows to count vehicles using geofences or virtual perimeters to determine the appropriate traffic light phase, viewed through a real time monitoring web interface. The system also uses a mobile application designed to send the vehicle's GPS location, a server in the AWS cloud to obtain the historical records of the system and the construction of an intelligent traffic light prototype which allows to verify the operation of the traffic light phases. Finally, the technical parameters that fog has with respect to cloud computing are compared, obtaining advantages in fog computing since it has low latency and greater processing capacity.Item Sistema de telemedicina con monitoreo de signos vitales basado en Iot en un ambiente Smart TV(Universidad Técnica de Ambato. Facultad de Ingeniería en Sistemas, Electrónica e Industrial. Carrera de Ingeniería en Electrónica y Comunicaciones, 2021-03) Garcés Salazar, Roberto Andrés; Manzano Villafuerte, Víctor SantiagoABSTRACT The current pandemic has hampered medical care and access to the various conventional health services, which can sometimes be difficult for people living far from the nearest health service, or they cannot be mobilized due to various medical conditions. This project implements a telemedicine system with a home-focused architecture using IoT based on four elements: User interface, administration, connectivity, and medical sensors. In the user interface layer, an application was developed with the React-Native framework for the Android TV system, which will receive the sensing data from the medical sensor layer of the BPMs and SpO2 MAX30100 sensor via Bluetooth, embedded within a wearable electronic circuit. This data will be sent via the TCP/IP protocol and managed via Odoo, hosted in an Amazon EC2 instance. The stored information can be displayed through tables and graphs, alert the user when receiving abnormal data, and send prescriptions to the Android TV app in a timely manner. A survey of forty health professionals was carried out to ascertain the benefit of the proposed system. Of this sample, 88.5 percent would be willing to implement the system at their workplace. In addition, I should mention that this work is part of the research project "Telemedicine System for the Monitoring of Vital Signals in a Smart TV Environment", approved by Resolution No. UTA- CONIN-2020-0297-R.