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For the management or reorganisation of existing buildings, data concerning dimensions and construction are necessary. Often these data are given exclusively by paper-based drawings and no digital data such as a computer based product model or even a CAD-model are available. In order to perform mass calculation, damage mapping or a recalculation of the structure these drawings of the building under consideration have to be analysed manually by the engineer. This is a very time-consuming job. In order to close this gap between drawings of an existing building and a digital product model an approach is presented in this paper to digitise a drawing, to build up geometric and topologic models and to recognise construction parts of the building. Finally all recognised parts are transformed into a three-dimensional geometric model which provides all necessary geometric information for the product model. During this import process the semantics of a ground floor plan has to be converted into a 3D-model.
Building project, with many different players involved, requires open and commonly accepted standard for product model description. Product model based design tools support easy comparisons of design alternatives and optimisation of design solution technical quality. This supports client s decision-making and design target comparisons through the whole building project. Use of product models enable these tasks to meet both schedule and cost requirements Olof Granlund is using product models and interoperable software as the main tool in projects. The use and the realised benefits are illustrated by examples from 3 different real projects: University building, where product models were used already in the very early phases by the whole design team. Office building for research organisation, where product models were used in so called self-reporting building system. Headquarters for international company, where product models were widely used for building performance analysis and visualisations in design phase as well as for facilities management system configuration for operational phase.
Business and engineering knowledge in AEC/FM is captured mainly implicitly in project and corporate document repositories. Even with the increasing integration of model-based systems with project information spaces, a large percentage of the information exchange will further on rely on isolated and rather poorly structured text documents. In this paper we propose an approach enabling the use of product model data as a primary source of engineering knowledge to support information externalisation from relevant construction documents, to provide for domain-specific information retrieval, and to help in re-organising and re-contextualising documents in accordance to the user’s discipline-specific tasks and information needs. Suggested is a retrieval and mining framework combining methods for analysing text documents, filtering product models and reasoning on Bayesian networks to explicitly represent the content of text repositories in personalisable semantic content networks. We describe the proposed basic network that can be realised on short-term using minimal product model information as well as various extensions towards a full-fledged added value integration of document-based and model-based information.