Digital Twin conceptual framework for the O&M process of cubature building objects

TL;DR

This paper develops a conceptual framework for Digital Twins in the operation and maintenance of cubic building objects, integrating IoT and AI to address data loss and inefficiency in construction asset management.

Contribution

It introduces a novel conceptual framework tailored for O&M of cubic facilities, incorporating IoT and AI, and adaptable to infrastructure and urban environments.

Findings

Framework supports IoT and AI integration for O&M.

Applicable to infrastructure and city fragments with modifications.

Identifies limitations and future research directions.

Abstract

The broader construction industry is struggling with data loss, inefficient processes and low productivity in asset management. The remedy to these problems seems to be the idea of Digital Twin (DT). However, the frameworks proposed so far do not always support a solution to these problems. This paper conducts an extensive literature review to develop a conceptual framework for the Operation and Maintenance (O&M) phase for cubic facilities. The conceptual framework takes into account the increasingly popular Internet of Things (IoT) and Artificial Intelligence (AI) technologies. The presented framework, after appropriate modifications, can also be applied to infrastructure facilities or city fragments. The paper presents limitations and directions for further research. The DT paradigm has been adopted and its adoption is ongoing. Its implementation will progress in the coming years.