Abstract:
A model of an automated temperature prediction on smart AC system for a room has been
designed, developed and implemented with an embedded system. In a room, temperature of
object (like human being) with the environment is detected, identified and analyzed, with an
ideal temperature. Based on data, a mathematical formula can be derived and an algorithm has
been formed by using the mathematical formula of the predicted temperature data and the values
of the two sensors, where sensors are used for object temperature detection and the AC perform
automatically turned on or turned off. Python programming language with its default library has
been used to code for the successful implementation of the algorithm. This proposed embedded
system can be implemented in any smart AC room where anyone can utilize the AC system
automatically switched on/off with the predicted temperature. Exploit this embedded system in
all over the places including for disabled peoples, personal room, conference room, hall room,
classroom and transports, where manually control of Air conditioner is not feasible.
