Taking advantage of semantic web ontologies and shape constraints for Heating, Cooling and Ventilation Systems

Abstract

In recent years semantic web ontologies have improved data interoperability within architecture, engineering, construction, and operation of buildings. One of the persisting issues inhibiting quality assurance is a lack of robust model validation of BIM models used for HVAC flow system simulation and analysis. This article provides a novel approach for automating the BIM validation process using SHACL shapes and FSO/FPO ontologies. Using this approach will ensure that the BIM model contains the required HVAC information for simulating hydraulic systems. The paper presents multiple shapes developed to identify and validate typical HVAC design details in buildings.