A Smart WiFi Multi-Sensor Node for Fire Detection Mechanism Based on Social Network

A small device with WiFi multi-sensing element is essential under a digital social century. This study aims to implement the hardware and the power of the algorithm with WiFi technologies. Notably, the multi-sensors have to reinforce around a home area and support to any requirement in the term of digital society. This work focus to care at home security- on going to the fire detection with applying several technologies based on social networks. Firstly, the multi-sensor calibration used the calibration time, and the self-calibration used the Finite Impulse Response (FIR) filter. Next, the Full-Scale Kalman Filter (FSKF) helps to fill data and estimate the accuracy data. After that, a fire detection mechanism used Fuzzy logic to detect and sent alert messages over the term of IF This Then That (IFTTT) process. The home event changes the WiFi multi-sensor data. They took the data range effect to the fire proportion inside the home. Furthermore, The OFF-Mode is to reduce the power consumption suddenly the WiFi module sends the sensor data to the Cloud. If had a critical point, sent an alert message to social networks. Finally, the WiFi multi-sensor node has to use more than one same detector that it will be high stability and high accuracy.