Control Automático de Condiciones Ambientales en Domótica usando Redes Neuronales Artificiales

It is proposed to use the concept of ubiquitous computing for improving human-machine relations in automated homes, offices and building environments. The patterns behavior of the user is registered to use them in a context-aware, able to automatically react and allowing autoconfiguration of an automated system in an office environment. The automated mechanism which determines the state of lighting, temperature, humidity and other environment values, and how the system acts on them, are detailed. The daily habits of the user and the actual conditions of the environment are considered. Artificial Neural Networks are used to classify the state of light, heating and ventilation. The results show that the neural network technique is fully capable of recognizing more than 90% of the user patterns.