Title
Remote Monitoring Of Dynamic Construction Processes Using Automated Equipment Tracking
Abstract
Construction resource planning and control is traditionally done using static data and information available from similar projects. However, the uniqueness of and uncertainties involved in each construction project may require that field data from equipment is dynamically collected, analyzed, and integrated into the decision making process in order to achieve the best possible operational plan. The collected data can be used to predict the performance of a construction system based on the latest status of the project, as well as to monitor if all pieces of equipment are operating according to the plan and if any corrective action is needed. This paper presents the results of a remote tracking technique developed to capture field data from construction equipment in real time for short term monitoring and control of construction operations. The developed technique uses a .NET environment thus providing a convenient means for data collection, sorting, filtering, and interpretation. The collected data is time-stamped and thus, can be used to create a real time 3D animation stream of the ongoing operation. This facilitates the communication of project details and can be ultimately used as a verification and validation tool for the underlying simulation model. © 2012 ASCE.
Publication Date
9-19-2012
Publication Title
Construction Research Congress 2012: Construction Challenges in a Flat World, Proceedings of the 2012 Construction Research Congress
Number of Pages
1360-1369
Document Type
Article; Proceedings Paper
Personal Identifier
scopus
DOI Link
https://doi.org/10.1061/9780784412329.137
Copyright Status
Unknown
Socpus ID
84866253267 (Scopus)
Source API URL
https://api.elsevier.com/content/abstract/scopus_id/84866253267
STARS Citation
Akhavian, Reza and Behzadan, Amir H., "Remote Monitoring Of Dynamic Construction Processes Using Automated Equipment Tracking" (2012). Scopus Export 2010-2014. 4567.
https://stars.library.ucf.edu/scopus2010/4567