MONITORING AND PREVENTION OF URBAN FIRE BASED ON INTERNET OF THINGS (IOT) AND NodeMCU

Abstract

Cloud computing has made it easier to access various forms of data and services through the Internet. coupling it to sensor networks makes it possible to significantly overcome the storage and computing performance limits of heterogeneous objects in the Internet of Things (IoT). In Cameroon, IoT is not yet very widespread. We use it here to monitor and prevent urban fires in real time, using a set of temperature, humidity, gas, flame and electrical power sensors that are integrated on NodeMCU, in view to detect fire starts and generate an alert. The data collected is stored and processed on Thing Speak; a second analysis is carried out locally. After calibrating the sensors, we analyzed the data and carried out a correlation test to identify the most sensitive data for the alert system. The correlation coefficient of -0.721015 between temperature and humidity allowed us to maintain the system based on data quality.