Two-Level Fuzzy Based Fire Prediction Scheme Using Wireless Sensor Network

Recent research works focus on monitoring temperature and relative humidity to detect fire accidents in firework industries. Many of the fire accidents reported are due to the friction of the chemicals during heavy wind flow. This confirms that air flow and toxicity of the gases are to be monitored in addition to temperature and relative humidity. Nevertheless, the existing works lack monitoring of air flow and toxicity. Hence, a Wireless Sensor Network that monitors all the essential parameters is deployed using IRIS motes. Further, the severity of the risk is evaluated through a proposed novel two-level fuzzy based fire prediction scheme implemented in MATLAB. An alarm is raised as a warning signal for labours and people close to the environment during high risk. Thus fire accidents at firework industries can be predicted and damage be avoided. The fuzzy is validated through simulation. Through motes the parameters are observed at different times and their corresponding risk probability is evaluated. The results confirm the supremacy of the proposal.