IOT based-system for telecom tower fire detection and aviation obstruction light monitoring

Abstract

Telecommunication towers are radio masts, typically tall structures designed to support antennas for telecommunications and broadcasting. Many telecommunication towers in Habari Node are installed in remote locations, on top of tall buildings, and sometimes on hilltop areas that are not easily accessible. These make them prone to natural hazards, equipment, fuel and battery theft, and electricity faults. In some cases, these issues can cause the malfunction of the aviation obstruction light and fire outbreaks. This challenge affects prompt mitigations during breakdown and the challenges of aviation obstruction light and fire outbreaks. However, technological inputs have been developed to tackle these challenges. However, many of these technologies are associated with low performance due to lack of real-time interventions and auto-report to the systems' concerns, awareness, and inadequate information. Hence, the study used qualitative methods of data collection which led to develop a cost-effective, versatile system that can detect, extinguish, and send early alerts about fire, aviation obstruction light, and electricity power issues. The proposed system was developed to monitor and control the telecommunication tower using ESP32 WROOM-32D as a microcontroller, fire sensor, buzzer, BH1750 ambient light, LDR darkness sensor, relays, Pzem-004t, ThingSpeak cloud, and the global service message module (GSM) to alert all tower’s technicians and firefighters. The results revealed the prompt performance of the system in detecting and extinguishing fire. Also, the it can monitor aviation light for tower safety and turn on the automatic voltage and current regulator (AVCR) during overcurrent or overvoltage. Furthermore, the designed system has the capacity to initiate and send short message service (SMS) and call as an alert to check through mobile and web-based application