Bibliographic citations
Tirado, L., Rojas, D. (2024). Desarrollo de un sistema de detección inalámbrica de incendios basados en redes neuronales e IoT para fajas transportadores en minería [Trabajo de suficiencia profesional, Universidad Peruana de Ciencias Aplicadas (UPC)]. http://hdl.handle.net/10757/675069
Tirado, L., Rojas, D. Desarrollo de un sistema de detección inalámbrica de incendios basados en redes neuronales e IoT para fajas transportadores en minería [Trabajo de suficiencia profesional]. PE: Universidad Peruana de Ciencias Aplicadas (UPC); 2024. http://hdl.handle.net/10757/675069
@misc{renati/419921,
title = "Desarrollo de un sistema de detección inalámbrica de incendios basados en redes neuronales e IoT para fajas transportadores en minería",
author = "Rojas Huzco, Diego Alberto",
publisher = "Universidad Peruana de Ciencias Aplicadas (UPC)",
year = "2024"
}
Fires produced within the industry can produce considerable economic losses for any company and its risk is much greater for mining industrial environment. Fires caused by materials dragged on a conveyor belt can spread all over it, stopping the entire production of the mine just to extinguish the affected area. Due to the length of the belt, the process to find the center of the fire and taking necessary measures takes too much time. Therefore, it is proposed to develop a wireless fire detection system capable of covering the entire desired industrial area and sending alert signals from the specific area of incident. For this model, it was necessary to use a digital camera that covers a large area, a Gateway system for communication between data sent from the camera to a station where said information will go, and a graphic representation using a MQTT protocol to design an easy to understand interface for the user. Said detection system is based on YOLO that will allow, through learning by training, the detection of signs of fire for detected areas and within a range of 10 seconds from the detection of an incident to send a fire alarm signal to the operation station.
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