Title
An integrated data collection and analysis framework for remote monitoring and planning of construction operations
Abbreviated Journal Title
Adv. Eng. Inform.
Keywords
Construction; Simulation; Visualization; Data collection; Decision; support; Control; INDUSTRIAL PROJECTS; SIMULATION; TRACKING; SYSTEMS; DELIVERY; LOCATION; SITES; Computer Science, Artificial Intelligence; Engineering, ; Multidisciplinary
Abstract
Recent advances in data collection and operations analysis techniques have facilitated the process of designing, analyzing, planning, and controlling of engineering processes. Mathematical tools such as graphical models, scheduling techniques, operations research, and simulation have enabled engineers to create models that represent activities, resources, and the environment under which a project is taking place. Traditionally, most simulation paradigms use static or historical data to create computer interpretable representations of real engineering systems. The suitability of this approach for modeling construction operations, however, has always been a challenge since most construction projects are unique in nature as every project is different in design, specifications, methods, and standards. Due to the dynamic nature and complexity of most construction operations, there is a significant need for a methodology that combines the capabilities of traditional modeling of engineering systems and real time field data collection. This paper presents the requirements and applicability of a data-driven modeling framework capable of collecting and manipulating real time field data from construction equipment, creating dynamic 3D visualizations of ongoing engineering activities, and updating the contents of a discrete event simulation model representing the real engineering system. The developed framework can be adopted for use by project decision-makers for short-term project planning and control since the resulting simulation and visualization are completely based on the latest status of project entities. (C) 2012 Elsevier Ltd. All rights reserved.
Journal Title
Advanced Engineering Informatics
Volume
26
Issue/Number
4
Publication Date
1-1-2012
Document Type
Article
Language
English
First Page
749
Last Page
761
WOS Identifier
ISSN
1474-0346
Recommended Citation
"An integrated data collection and analysis framework for remote monitoring and planning of construction operations" (2012). Faculty Bibliography 2010s. 2206.
https://stars.library.ucf.edu/facultybib2010/2206
Comments
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