Diseño e implementación un prototipo de un sistema de monitoreo de temperatura, humedad e índice de rayos ultravioleta de la ciudad de Salinas a través de un bot para Twitter como plataforma de internet de las cosas.

Abstract

This project seeks to contribute to the development of Salinas as a smart city with the design and implementation of a prototype of a monitoring system that tracks the temperature, humidity, and ultraviolet index of the city of Salinas through a bot hosted on Twitter as an IoT platform. The purpose of this is to simplify the decision-making process with regard to clothing, the use of sunscreen, and personal hydration, among other recommendations delivered through the Twitter platform. This work relies on a quantitative focus, as the prototype would generate numerical measurements with respect to environmental conditions and be able to compare this data with that collected by other devices and services. A survey of many of those who were involved in the acceptance of the project and the decisions that were to be made during its development was conducted. In addition, an iterative strategy was employed each time the prototype was tested which helped to find and correct errors. For the creation of this Project, the following hardware were used: 2 ESP8226, 2 DHT22 sensors, 2 UVM-30A sensors and a raspberry pi. The microcontrollers were programmed in the C++ coding language with Arduino IDE, while PyCharm was used for programming the Twitter bot on the raspberry pi. The final result of the project can be viewed on the bot's Twitter account (@00Bot001) where you can find the environmental conditions of Salinas along with their respective recommendations on decisions to be made before leaving home.