Digital Twin Approach to Building Information Management

Abstract

Currently, verification of building information is based on estimation of historical data. Interaction between the real-world building's indoor environment and a digital yet realistic virtual representation model of building environment is known as digital twin. Where the indoor environment represents by the air temperature, air flow, relative humidity and lighting condition while, digital virtual represent by computational fluid dynamics and luminance level. Digital twin provides the opportunity on real-time monitoring and data acquisition. For instance, employment of digital twin enables gathering, generating and visualizing the indoor environment of building of interest. All gathered data will be stored in the digital twin subsequently, any irregularities will be analyzed. While computational analysis provides visualization of the facility of interest. The integration of this simulation tools to the internet of thing (IoT) represent as a real-time twin. This paper aims to present a conceptual framework design for building information management through the employment of digital twin approach. The proposed framework will be based on the principle conservation of resources and the design for convenient building information management in a large scale. On top of that, the framework design is expected to have appropriate balance between economic, social and environment issues, leading to better utilization of real-time monitoring technology and contribute to optimization of building services