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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 (Autor:in) / Eldin, Neil N. (Autor:in)
Automation in Construction ; 27 ; 32-39
09.05.2012
8 pages
Aufsatz (Zeitschrift)
Elektronische Ressource
Englisch
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
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