Automatic component identification using artificial neural network techniques

Updating existing plans or, where the original plans are no longer accessible, producing a completely new set of drawings to reflect the current state of existing building stock is a common requirement in the refurbishment and redevelopment of old buildings. A convenient, promising way of collecting such data is to make use of laser measurement technology. The models obtained with this technique then have to be transferred to a building product model in order to meet the needs of the subsequent technical project planning stage. We therefore utilise artificial intelligence procedures and propose a method based on virtual neural networks for the analysis of the extracted objects. Objects are categorised with respect to building component classes.