Fire Protection Using the CNN Algorithm in Mining Areas
Year: 2024
Type: article
Abstract: Fire is generally happening due to climate and human careless in workplace especially like coal mines. It damages the ecosystem and causes destruction of places, and death of humans. Therefore, it is preferred to prevent the occurrence of fire. Compared to the conventional techniques for detecting fires in mining areas, based on RF wireless technology, a wireless sensor network was suggested. As name implies WSN’s are the network of wireless sensors, which is used in, automation, habitat monitoring, security and agriculture. This project describes the architecture of a system for temperature detection, humidity and smoke to stop fires that would result in the loss of many natural threats. The ADXL sensor is used to detect the fall down condition of pole in the due to the bad climatic condition and because of landslides. If the fire in the mining area is detected means send information to control room by using wireless RF communication. In addition, used web camera to detect the fire data then fire detected information viewed in PC through wirelessly connected any desk software. The camera and the device are placed in the pole on the workplace. Based on colour, light parameters, fire patterns CNN algorithm it detects the fire on mines, and also smoke sensor is used too to confirm the presence of fire by detecting harmful gases like CO gases.
Authors: M. Seenivasan, V. Pandiyan, K. Renuka, N. Karthick
Institution: Dravidian University
Language: English
Subfield: Safety, Risk, Reliability and Quality
Field: Engineering
Domain: Physical Sciences
Open Access status: hybrid
OpenAlex ID: W4406038132