M. A. Doumaz¹, S. Kacher ²
¹ Phd Student, Laboratoire Ville, Architecture et Patrimoine (LVAP), Ecole Polytechnique d’Architecture et d’Urbanisme (EPAU), Algeria.
² Professor, Laboratoire Ville, Architecture et Patrimoine (LVAP), Ecole Polytechnique d’Architecture et d’Urbanisme (EPAU), Algeria.
 
Keywords: BIM; HBIM; Built Heritage; Restoration; AI.
 
Nowadays, built heritage is frequently exposed to risks of degradation or even disappearance, whether due to age, natural disasters, the accumulation of historical layers, or simply a lack of maintenance. The need to safeguard it is therefore no longer subject to debate.

In this context, the search for a suitable digital tool for this safeguard naturally leads to BIM (Building Information Modeling), which is capable of articulating both graphical and semantic dimensions. The potential of this approach in the field of heritage restoration has given rise to its heritage-focused counterpart: HBIM (Heritage Building Information Modeling).

However, the concrete application of HBIM to restoration projects—especially in Algeria—remains insufficiently structured.

Through the development of an HBIM model of the Palace of the Beys, we propose a method for implementing HBIM that meets both the theoretical requirements of restoration and the specific Algerian regulatory framework.
Artificial intelligence has also been integrated to enhance the efficiency of said framework.

The results show that the overlap between the HBIM process and the stages of the restoration project allows for a satisfactory management of the necessary data, both through graphical representation and semantic integration.

The integration of AI tools enables the automation of certain stages of the HBIM process, improving overall efficiency.

Nevertheless, the expert’s input remains essential to ensure the required level of precision and accuracy within the framework of a restoration project.