Intelligent testing prototype for monitoring thermal variables in a thermal chamber according to optimize an ultrasonic washing machine


  • Alan Calderón Ch.
  • Benjamín Barriga
  • Jorge Alencastre
  • Julio C. Tafur
  • Alan Ccarita
  • John Lozano



Simulations, monitoring of thermal variables, identification of systems, filtering, control.


The following article shows the mathematical analysis, simulations, design and experimental tests of an intelligent prototype for monitoring the physical variables: temperature, which is measured and recorded from inside a system. It contains a platform in a movement more than 3 degrees of freedom (DOF) that is coupled to 4 springs that allow the mechanical movement of the platform that supports the monitoring system. The recording system has the ability to be inside the thermal system (not outside the data monitoring, which is the usual way) for monitoring the thermal variables regardless of mechanical disturbances of movement that generally physical-chemical processes require it. The complexity of the case is that the monitoring hardware must be inserted into a closed system at the controlled range of work from 25 to 70 degrees Celsius and the composition of 3 DOF adapts the recording system to achieve a robust control for a washing machine that uses ultrasound. Since connection and wiring problems disturb the transfer of information, if the monitoring system is outside the thermal system. For this reason, this designed system has the robustness of hardware to isolate the heat that is produced in the thermal camera with respect to the interior of the recorder. Also the appropriate isolation for the hardware that contains the monitoring system is thermally analyzed, which implies that outside the system the process can be from 25 to 70 degrees Celsius and inside the prototype, where the logger circuitry is located, it is around 25 degrees Celsius. However, the analysis of correct filtering and self-control of the system is also necessary during the processing of the information of registered thermal variables, since a large part of the disturbances for data collection is given by the mechanical movement of two degrees of freedom of the thermal system [1], [2]. Finally, it is suggested for a future improvement of this article, the replacement of traditional (electromechanical) sensors by sensors based on nanostructures, because a large part of solutions and strategies for filtering and control through software can be optimized with robust and fast-response sensors. Moreover, this new sensor can avoid mechanical and electromagnetic disturbances.