Integrating Artificial Intelligence Approaches for Quantitative and Qualitative Analysis in H-BIM

Abstract

Managing historic buildings is a process in which workers responsible for this task require many time resources. Its optimization through several techniques, such as artificial intelligence, reduces the time related to decision-making. This chapter develops a procedure to generate intelligent GDL objects to predict or estimate the responses required to manage heritage elements in historic buildings. For this purpose, the models developed through data mining procedures in GDL objects in Building Information Modelling (BIM) platforms are combined with their application to historic buildings: Heritage Building Information Modelling (H-BIM). Thus, intelligent BIM models are developed to meet the needs of the technicians responsible for maintaining historic buildings. The responses given by the intelligent objects could be qualitative or quantitative. This methodology would be useful to reduce both the time of decision-making and the data analysis by visualizing them in a three-dimensional model of the historic building. Thus, this is a technique designed to optimize the management of the heritage elements in historic buildings. © 2022, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.