A platform for research: civil engineering, architecture and urbanism
A platform for research: civil engineering, architecture and urbanism
Adaptive real-time tracking and simulation of heavy construction operations for look-ahead scheduling
Abstract This paper proposes an adaptive real-time tracking and simulation of heavy construction operations for look-ahead scheduling during construction field operations. In this method, construction operation data are constantly captured using tracking sensors and the data is then fed into a simulation model for automatic model updating. This adaptive capability allows a pre-defined simulation model to be constantly updated to reflect the changing project environment for more accurate look-ahead scheduling. Compared with the traditional offline simulation that uses stationary inputs, the capability of the proposed real-time simulation to dynamically incorporate new project data and adapt to changes in field operations can improve the accuracy of project look-ahead scheduling. A prototype system and case studies are presented to demonstrate the feasibility of the proposed concept.
Highlights ► We develop an adaptive real-time simulation method for look-ahead scheduling. ► Operation data are captured using sensors and used for automatic model updating. ► Timely updated models accurately reflect field conditions for accurate forecasting. ► The method reduces modeling burdens on the user while improving forecasting.
Adaptive real-time tracking and simulation of heavy construction operations for look-ahead scheduling
Abstract This paper proposes an adaptive real-time tracking and simulation of heavy construction operations for look-ahead scheduling during construction field operations. In this method, construction operation data are constantly captured using tracking sensors and the data is then fed into a simulation model for automatic model updating. This adaptive capability allows a pre-defined simulation model to be constantly updated to reflect the changing project environment for more accurate look-ahead scheduling. Compared with the traditional offline simulation that uses stationary inputs, the capability of the proposed real-time simulation to dynamically incorporate new project data and adapt to changes in field operations can improve the accuracy of project look-ahead scheduling. A prototype system and case studies are presented to demonstrate the feasibility of the proposed concept.
Highlights ► We develop an adaptive real-time simulation method for look-ahead scheduling. ► Operation data are captured using sensors and used for automatic model updating. ► Timely updated models accurately reflect field conditions for accurate forecasting. ► The method reduces modeling burdens on the user while improving forecasting.
Adaptive real-time tracking and simulation of heavy construction operations for look-ahead scheduling
Song, Lingguang (author) / Eldin, Neil N. (author)
Automation in Construction ; 27 ; 32-39
2012-05-09
8 pages
Article (Journal)
Electronic Resource
English
| British Library Online Contents | 2012
Real-Time Simulation for Look-Ahead Scheduling of Heavy Construction Projects
| British Library Conference Proceedings | 2009
Real-Time Tracking And Analysis Of Construction Operations
| British Library Conference Proceedings | 2007