Art-Risk (Artificial Intelligence applied to preventive conservation of heritage buildings)







The main objective of the research project "Artificial intelligence applied to preventive conservation of heritage buildings" (Art-Risk) is to investigate and develop a new computerized tool for preventive conservation of heritage in urban centers based on models of artificial intelligence. Art-Risk will be available to organizations and companies dedicated to the restoration and rehabilitation.

Developing this new method of vulnerability and risk analysis applied to Monuments implies to meet in the project a multidisciplinary team specialized in the protection and conservation of Heritage. Art-Risk team is researchers and professionals of the following fields of knowledge: Chemistry, Architecture, Archaeology, conservators, art history, geology, biology, mathematics and computer science.

The novelty of this challenge lies in its approach and results, free software to evaluate decisions in regional policies, planning and management of Heritage, with a transversal development that includes urban, architectural, cultural heritage value, and the analysis of environmental and socio-demographic situation around the monuments. This new tool will allow performing decision-making based on scientific criteria and minimize risks of losses cultural assets.

This project will develop a new predictive model based on fuzzy logic (by Xfuzzy 3.3), which for the first time includes a multi-scenario study, assessing environmental risks and climate change, the use level of buildings and structural risks together with historical data from monuments life, through historical series, pre-vulnerability matrices (array cluster) will allow to weight the involvement degree of each variable. Two types of Monuments (very common in Spain) will be study (churches, walls and bastions). The validation of these two models-types will be performed by a blinded inter-laboratory diagnostic exercise in order to establish whether the prediction approaches the decision of separated workgroups.

The expected result is a new Artificial Intelligence program that enables users to reproduce human reasoning to study relations between vulnerability factors, risk factors and the historical parameters of the monument by fuzzy sets theory. All results will be available and will be included in a free application for general public, administrations in charge of cultural management and preservation, and companies engaged in rehabilitation. Moreover this system will grow up with the users’ inputs and will be retro-fed in a continuous cycle of improvement.

The work plan has its own objective of dissemination and transfer, this aims will be developed by international senior researchers (Ph.D.) and professionals of cultural managements and preservation from various countries.

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