Utilizing the High Maturity Level of Digital Twin for Construction Resource

Abstract

This article presents an approach to utilize the high maturity level of digital twin for construction resource monitoring. The digital twin is used in construction projects as a systematic representation of physical objects into virtual models of construction. While the resource monitoring system is used as a decision-making tool to optimize resource leveling optimization. A high maturity level is needed to provide an interoperable ecosystem for the construction monitoring process. The state-of-the-art literature review and gap identification are used through various studies related to the research objectives. The result shows that the integration of Building Information Modeling (BIM), geographic information system (GIS), machine learning (ML), and monitoring dashboard is needed for the digital twin resource monitoring model for controlling resource utilization on the project. A platform ecosystem is also required to effectively obtain an efficient decision making process for project construction. The study contributes to the framework of digital twin for aerial construction.