Electrical Machines Monitoring System – an approach based on Internet of Things

Abstract

The fast improvement of the Internet and related technological advances, in particular with respect to the connection with physical smart objects, has opened new viewpoints and new possibilities for connection improvements that can deeply affect the general public. This dissertation presents a system that allows the handling of all educational necessities regarding the working state of any induction machine, as it allows the students to visualize and monitor all the induction motor’s working variables such as voltage, current, power, torque, frequency, as well as providing the students with real-time charts of these variables. Furthermore, all variables related to the motor’s energy consumption and power used are shown, as well as the variables related to the control system and PID controller. The students can also monitor the thermal working state of the induction motor, which allows safer trials due to a more effective temperature monitor of the induction motor. Additionally, the students can control the characteristics of the induction motor’s trials, as the system allows start/stop commands of the machine through several buttons, where the user has to define the induction motor’s reference speed (in Hz), or the motor speed (in rpm) and the acceleration/deceleration times (time in seconds, the machines takes from 0 to 50 Hz and from 50 Hz to 0 respectively), the user can also define the rotor’s direction. A module of the DIN VDE 0530 induction motor standard was also developed, which allows the user to see the induction motor’s performance in all different working duties. Due to its versatility, this system could be a strong tool with E-learning properties. These tools include a website developed specifically for the monitoring and control of the induction motor.