Modeling of humidity in clothes drying machines by means of a pattern detection algorithm

摘要

This article presents a novel methodology to describe relative humidity in clothes drying machines (CDM). This methodology is carried out by implementing a pattern detection algorithm, with this it is possible to predict humidity levels in ranges where a conventional sensor is not able to give a reliable measurement. By obtaining reliable humidity levels, it is possible to reduce the drying cycles and thus obtain an energy saving as well as making a more efficient drying, avoiding damaging the clothes by over drying them, or leaving them still wet. It is necessary to obtain a relation between the relative humidity (which is the one found in the environment) as well as the humidity that is found in the tissue of the clothes (that is, the amount of water impregnated clothes have) to obtain more favorable results in drying. This relationship is important since the variable that really matters is monitoring the humidity that is in the clothes and not in the environment. This last one is the one usually measured by the sensors. Finally, materials, tools and platforms used for the development of the algorithm are presented, as well as simulated tests where the efficiency of the algorithm for the prediction of humidity in the dryers is demonstrated. The objective of this article is to describe the behavior of moisture within CDM, in low humidity ranges, by means of a pattern detection algorithm. This will favor the reduction in times and the energy saving during the drying cycles.