Historic Building Information Modelling (HBIM) : for recording and documenting classical architecture in Dublin 1700 to 1830

Abstract

Historic Building Information Modelling (HBIM) is a novel prototype library of parametric objects, based on historic architectural data, in addition to a mapping system for plotting the library objects onto laser scan survey data. The HBIM process begins with remote collection of survey data using a terrestrial laser scanner. This is then followed by the processing of the laser scan survey data to generate ortho-image and segmented point cloud data for mapping of library objects. The next stage involves the design of new shape and parametric rules for the construction of a library of objects that are based on 18th century architectural pattern books. In building parametric objects, the problem of file format and exchange of data have been overcome by using Geometric Descriptive Language (GDL). The final stage in the HBIM process is the development of a mapping system for plotting of the parametric objects as building components onto ortho-image and segmented point cloud data to create or form the entire building. The final HBIM product consists of building full 3D models including detail behind the object's surface, relating to its methods of construction and material makeup. HBIM can automatically generate conservation documentation in the form of survey data, orthographic drawings, schedules and 3D CAD models for both the analysis and conservation of historic objects, structures and environments. HBIM was evaluated through an end users' scenario test and through consultation with an expert group working in the architectural heritage sector. The expert group carried out a review of conservation documentation produced from HBIM. In addition, the accuracy of HBIM was measured by comparing a sample of data from HBIM with related ground truth data. The outcome of the software testing indicated that HBIM was effective in producing conservation documentation. Additional design inputs were identified to improve the accuracy of the system expanding the parameters of the library objects and upgrading the mapping system.