IoT gas and self-contained fire detection system / Intan Ku Nur Athirah Abu Bakar ... [et al.]

The project helpe to create awareness and identify preventive measures to prevent fire from spreading and becoming worse. Most people do not consider fire as a serious problem because fire detection systems are widely used at homes, shops, factories, and industries. Commonly installed domestic system for fire detection only involves physical notification using LED or buzzer. This system is not applicable when the user is staying away from home because he or she will have a limitation to observe fire detection system at home. Most people need to be more concerned about fire prevention. This project allows users to take measures to protect their family members from fire. The fire detection system project will sense smoke and temperature, activate the water sprinkler and DC exhaust fan when the smoke and fire are present, and notify the user using IoT Blynk. Also, fire can cause air pollution to the environment when the smoke spreads through the air since some gases and particles will affect the thicknesses of the ozone layer (Mastorakis et al., n.d.). Thus, the proposed fire detection system ensures a green environment. The water sprinkler and DC exhaust fan in this project are intended to protect the facilities from damage and act as early steps to prevent air pollution. The DC exhaust fan will ventilate the room and help to diminish smoke particles. The IoT Blynk allows users to be notified about the temperature and smoke in the affected surroundings that have been installed with the fire detection system. The double chamber relay helps both the water sprinkler and DC exhaust fan to be activated individually and simultaneously detect the earlier presence of fire in the building. Hence, the harmful gases produced depending on the burnt material, such as carbon monoxide, 2 ammonia, hydrogen sulfide, and hydrogen cyanide, are reduced as they are the main cause of breathing problems and pollution to the environment (Vrushali et al., 2016)