MANAGEMENT MODEL FOR CONSERVATION CONDITIONS OF INFRASTRUCTURE AT UNIVERSITY USING GEOGRAPHICAL INFORMATION SYSTEM (Atena Editora)

Abstract

Public or private built heritage requires the conservation of infrastructure, and it is up to the responsible managers to survey, analyze and make decisions for the maintenance of heritage conservation. The Geographic Information System (GIS) presents itself as a tool to support decisionmaking by management bodies as it enables the visualization, analysis, correlation and integration of data and information in a geospatial environment. In this study, it is proposed to present the model elaborated for the investigation of the conservation of infrastructure of didactic environments at the State University of Maringá, Pr, using GIS environment. The main campus of the State University of Maringá was used as an area for applying the model. This article addresses only the investigations carried out for classrooms and didactic secretariats. As an investigative tool, a checklist was drawn up, with indications of the presence or absence, quantity and conservation conditions of infrastructure due to pathological manifestations (painting, mold, efflorescence, spalling, fissures, medium cracks and large cracks) on walls and ceilings. Inspections were carried out in order to identify and classify possible manifestations divided into 5 levels ranging from (1) to the worst conditions or non-existence; (2) for insufficiency; (3) for sufficiency; (4) for good condition and; (5) for excellent conditions. Through spatial and statistical analysis, it was possible to show which percentages and where the classrooms and secretariats are in good or excellent condition, not requiring priority maintenance, and the didactic rooms and secretariats that deserve special attention in terms of maintaining the infrastructure. With the spatial analyzes it was possible to evidence a prevalence of similar conditions for environments of the same building. It was concluded that the model contributes to decisionmaking by highlighting the conditions of the environments, the prioritization when interventions are necessary, as well as the organization regarding the forecast of the number of employees needed, their specialties and optimization of time and displacement to attend to occurrences of maintenance in nearby locations.