IFC and Monitoring Database System Based on Graph Data Models

Abstract

An efficient database management system that supports the integration and interoperability of different information models is a foundation on which the higher levels of cyber-physical systems are built. In this paper, we address the problem of integrating monitoring data with building information models through the use of the graph data management system and the IFC standard (Industry Foundation Classes) to support the need for interoperability and collaborative work. The proposed workflow describes the conversion of IFC models into a graph database and the connection with data from sensors, which is then validated using the example of a bridge monitoring system. The presented IFC and sensor graph data models are structurally flexible and scalable to meet the challenges of smart cities and big data.

Graph Database and Matrix-Based Intelligent Generation of the Assembly Sequence of Prefabricated Building Components

“…Aided by the IfcWebServer, a web-based server application that supports the management and sharing of IFC (Industry Foundation Classes) models, Ismail et al [31] extracted the building's topological structure and attributes of its components from IFC models, stored the information in a property graph database, and then the required knowledge was extracted by querying it. To tackle the challenge of integrating monitoring data with building information models, Gradišar and Dolenc [32] employed a graph-based database management system and the IFC standard to support the need for interoperability and collaborative work. Zhu et al [29] applied the graph-theory-based graph database technology to reveal hidden relationships within building information, enabling a complete conversion of IFC data into labeled property graphs.…”