Key points are not available for this paper at this time.
Innovations in project monitoring tools are paramount for the effective execution of large-scale infrastructure projects. This study aims to explore the transformative role of these tools in enhancing project performance, accuracy, and efficiency. The research employs a comprehensive review of existing literature, case studies, and the latest advancements in project monitoring practices. The study highlights that integrating digital tools such as Building Information Modeling (BIM), unmanned aerial vehicles (UAVs), and Geographic Information Systems (GIS) significantly improves project coordination and real-time decision-making. Automated progress monitoring technologies reduce reliance on manual data entry, enhancing the accuracy of project assessments. Additionally, sensor-based monitoring techniques enable predictive maintenance strategies, extending the lifespan of aging infrastructure. The findings underscore the importance of interoperability among digital tools and the need for robust monitoring models capable of adapting to the dynamic nature of infrastructure projects. Web-based applications and systems engineering principles further enhance the efficacy of project monitoring by providing real-time data and facilitating efficient communication among stakeholders. In conclusion, the integration of innovative project monitoring tools is pivotal for the successful execution and management of large-scale infrastructure projects. These technologies not only enhance project performance and reduce risks but also ensure sustainable and long-term infrastructure development. The study recommends continued research and investment in advanced monitoring systems to address existing challenges and unlock new opportunities for improving project outcomes. Embracing these innovations will be crucial for the construction industry to meet future demands and achieve higher standards of efficiency and sustainability. Keywords: Building Information Modeling (BIM), Unmanned Aerial Vehicles (UAVs), Geographic Information Systems (GIS), Automated Progress Monitoring, Predictive Maintenance, Project Performance Optimization.
Umar et al. (Mon,) studied this question.