مدیریت ساخت و مدیریت پروژه
Amir Hossein Dalir; Hasan Javanshir
Abstract
This study evaluates the impact of Digital Twin (DT) technology on project success metrics—specifically time, cost, quality, and safety—within the automated monitoring and control of construction projects. Employing a mixed-methods approach, the research integrates survey data, Structural ...
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This study evaluates the impact of Digital Twin (DT) technology on project success metrics—specifically time, cost, quality, and safety—within the automated monitoring and control of construction projects. Employing a mixed-methods approach, the research integrates survey data, Structural Equation Modeling (SEM), case analysis, and qualitative insights from interviews and focus groups. A novel DT-based Progress Monitoring Management Model (DRX) is proposed and assessed, leveraging reality capture and Extended Reality (XR) technologies to streamline construction oversight. Findings reveal that DT significantly improves project outcomes by automating process oversight. The DRX model emerges as an innovative framework, enhancing construction management through the integration of DT and XR technologies, offering empirical insights into its efficacy and delineating its practical challenges and advantages.
Mohamadamin Mirbagheri; Hasan Javanshir; Majid Safehian
Abstract
Today, smart buildings, which combine sensors and actuators, allow owners to save energy, increase security, provide users with information about their work environment, and operate directly on the building via the Internet. Indoor environmental parameters such as temperature, humidity, lighting, and ...
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Today, smart buildings, which combine sensors and actuators, allow owners to save energy, increase security, provide users with information about their work environment, and operate directly on the building via the Internet. Indoor environmental parameters such as temperature, humidity, lighting, and air quality are monitored by IoT sensors in smart buildings. In this paper, we propose a smart building solution for managing the indoor environment based on the Internet of Things, which aims to provide functions such as monitoring the environmental parameters of the room and detecting the number of users in the space. It is also a cloud platform where virtual entities collect data obtained by sensors and cloud virtual entities perform data analysis tasks using system learning algorithms. This cloud platform also includes a control dashboard for managing and controlling the building. The goal of this article is to define, develop, and present the results of a project that uses sensors in a standard business center to monitor and condition business units using Internet of Things technologies. The arrangement and location of the sensors are explained in this study, followed by the sensors used, wireless interfaces, and cloud technologies. The project results are presented using Bluemix and Node Red.
