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Sensing and Field Data Capture for Construction and Facility Operations |
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| Authors: | Saurabh Taneja Burcu Akinci James H Garrett Lucio Soibelman Esin Ergen Anu Pradhan Pingbo Tang Mario Berges Guzide Atasoy Xuesong Liu Seyed Mohsen Shahandashti Engin Burak Anil |
| Affiliation: | 1Research Assistant, Dept. of Civil and Environmental Engineering, 121 Porter Hall, Carnegie Mellon Univ., 5000 Forbes Ave., Pittsburgh, PA 15213 (corresponding author). E-mail: staneja@andrew.cmu.edu 2Professor, Dept. of Civil and Environmental Engineering, 123K Porter Hall, Carnegie Mellon Univ., 5000 Forbes Ave., Pittsburgh, PA 15213. 3Thomas Lord Professor and Head, Dept. of Civil and Environmental Engineering, 119D Porter Hall, Carnegie Mellon Univ., 5000 Forbes Ave., Pittsburgh, PA 15213. 4Professor, Dept. of Civil and Environmental Engineering, 123C Porter Hall, Carnegie Mellon Univ., 5000 Forbes Ave., Pittsburgh, PA 15213. 5Assistant Professor, Dept. of Civil and Environmental Engineering, Istanbul Technical Univ., No. 251 Maslak, ?stanbul, Turkey 34469. 6Assistant Professor, Dept. of Civil and Environmental Engineering, Drexel Univ., Philadelphia, PA. 7Assistant Professor, Dept. of Civil and Environmental Engineering, Western Michigan Univ., Kalamazoo, MI 49008. 8Research Assistant, Dept. of Civil and Environmental Engineering, 119 Porter Hall, Carnegie Mellon Univ., 5000 Forbes Ave., Pittsburgh, PA 15213. 9Research Assistant, Dept. of Civil and Environmental Engineering, 121 Porter Hall, Carnegie Mellon Univ., 5000 Forbes Ave., Pittsburgh, PA 15213. 10Research Assistant, Dept. of Civil and Environmental Engineering, 119 Porter Hall, Carnegie Mellon Univ., 5000 Forbes Ave, Pittsburgh, PA 15213. |
| Abstract: | Collection of accurate, complete, and reliable field data is not only essential for active management of construction projects involving various tasks, such as material tracking, progress monitoring, and quality assurance, but also for facility and infrastructure management during the service lives of facilities and infrastructure systems. Limitations of current manual data collection approaches in terms of speed, completeness, and accuracy render these approaches ineffective for decision support in highly dynamic environments, such as construction and facility operations. Hence, a need exists to leverage the advancements in automated field data capture technologies to support decisions during construction and facility operations. These technologies can be used not only for acquiring data about the various operations being carried out at construction and facility sites but also for gathering information about the context surrounding these operations and monitoring the workflow of activities during these operations. With this, it is possible for project and facility managers to better understand the effect of environmental conditions on construction and facility operations and also to identify inefficient processes in these operations. This paper presents an overview of the various applications of automated field data capture technologies in construction and facility fieldwork. These technologies include image capture technologies, such as laser scanners and video cameras; automated identification technologies, such as barcodes and Radio Frequency Identification (RFID) tags; tracking technologies, such as Global Positioning System (GPS) and wireless local area network (LAN); and process monitoring technologies, such as on-board instruments (OBI). The authors observe that although applications exist for capturing construction and facility fieldwork data, these technologies have been underutilized for capturing the context at the fieldwork sites as well as for monitoring the workflow of construction and facility operations. |
| Keywords: | Construction management Facilities Data collection |