Wi-Fi based temperature monitoring system for thermal analysis with Kalman Filter implementation

We developed the Wi-Fi based temperature monitoring system which determines the melting point of a material caused by thermal events in a material. The system is consisting of a furnace combined with digital PID controller, embedded microcontroller and two K-type thermocouple sensors for measuring both reference and sample temperature. In this paper, we performed the measurement by combining the common furnace along with an embedded microcontroller which is integrated by a customized of OpenWRT Linux distribution and Wireless Access Point (WAP) as well. The Linux operating system served as a web server delivering the measurement process from the microcontroller and thermocouple sensors. Since the board contains WAP, the measurement process was accessed by utilizing web browser wirelessly. For the sake of data backup, the measurement data were also saved on the installed ROM or SD card. The melting point of material was calculated by subtracting the reference from the material under tested. To filter the noise, Kalman Filter algorithm was implemented in the analysis to get the better result.