Desarrollo de un sistema de monitoreo energético e higrotérmico con regulación inteligente del sistema de ventilación para un Datacenter

Abstract

The present prototype is intended to monitor, alert, and store current consumption data, as well as to automatically regulate temperature and humidity levels in case they exceed the recommended thresholds in a data center. Currently, poor management of these parameters can lead to technical failures and equipment damage. For this reason, a messaging alert system was implemented through the Telegram application. In the prototype, the DHT11 sensor was used to measure humidity and temperature, and the SCT-013 sensor was used to measure the prototype’s current consumption. These sensors are connected to an ESP32 microcontroller, which is responsible for receiving the sensor data, processing it, and automatically activating the fans when the values go beyond the recommended ranges. In addition, it sends real-time alerts via Telegram and allows remote monitoring of the data center thanks to its Wi-Fi connectivity. This work was designed and tested in the Wireless Communications Course at Building E, and measurements were carried out in the Megamaxi Ceibos data center. These scenarios were used to simulate possible critical events that could occur in a data center, which have the potential to cause damage to the installed equipment. It is concluded that this prototype provides an efficient solution with great potential to prevent damage to data center equipment. The average values obtained from the prototype in the Megamaxi Ceibos data center were compared with the average values obtained in the same scenario using a hygrometer to measure temperature and humidity, and a multimeter to measure current consumption. The following average error percentages were obtained: 2.992% for temperature, 2.358% for humidity, and 1.75% for current consumption, considering that the hygrometer used has an error margin of ±2% and the multimeter an error margin of ±0.25% to ±0.5%. This was achieved thanks to real-time monitoring of hygrothermal conditions and current consumption, enabling continuous supervision and intelligent regulation of the environmental conditions in the data center.