Developing the concept of Human Oriented Parametric architecture, it will be discussed the need of implementing time as the lost parameter in current design techniques. Morphogenetic processes idea will be discussed through the principle of an adaptable intelligent facade, as the thought solution for future architecture design processes improvement.
A model implementing a unique Arduino on the façade, will control the performance of the façade patterns, through, a 100 Neurons Artificial Neural Network that will decide the kind of scenario the building is in, activating a Genetic Algorithm that wills insulation performance of the ETFE pillows. The final virtual model will be able to obtain the goal proposed, a homogeneous temperature in all the spaces of the building of 22ºC.
The EmDeplo System will work with a Global behaviour, pattern performance of the façade, but also with a local behaviour for each pillow, giving the option of individual sun shading control. Machine learning implementation will give the façade the possibility to learn from the efficacy of its decisions through time, eliminating the need of an on-off behaviour for defending against the environment. Instead, the system will work with it, adapting to it, and evolving with its variations.