IoT Based Real-Time Weather Monitoring System Using Telegram Bot and Thingsboard Platform

Abstract

IoT technology's rapid enlargement is implemented in developing automated devices that monitor real-time data. The device design uses the ESP32 Microcontroller, SHTC3 Sensor, BMP180, Windspeed Anemometer, Wind Direction Anemometer, and Tipping Bucket Rain Ombrometer to acquire the current data on weather parameters such as humidity, temperature, altitude, wind speed and direction, air pressure, and precipitation. Using the MQTT, WebSocket, and HTTP Request communication protocols, data transfer from these sensors visualize on the things board dashboard and chatbot telegram. The design of this real-time weather parameter monitoring system integrates with tomorrow's forecasts from BMKG's National Digital Forecast API data. This research carries an axiological approach that contributes to the benefits of the available methods and knowledge to provide more help or value. This research can contribute to the innovation and the development of real-time data observation system automation at BMKG Indonesia as an alternative recommendation to support observation density. In addition, implementing multi-protocol communication in the system can be a scientific reference for the benefits of communication in various outputs.