Sensing and Field Data Capture for Construction and Facility OperationsSource: Journal of Construction Engineering and Management:;2011:;Volume ( 137 ):;issue: 010Author: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
DOI: 10.1061/(ASCE)CO.1943-7862.0000332Publisher: American Society of Civil Engineers
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.
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contributor author | Saurabh Taneja | |
contributor author | Burcu Akinci | |
contributor author | James H. Garrett | |
contributor author | Lucio Soibelman | |
contributor author | Esin Ergen | |
contributor author | Anu Pradhan | |
contributor author | Pingbo Tang | |
contributor author | Mario Berges | |
contributor author | Guzide Atasoy | |
contributor author | Xuesong Liu | |
contributor author | Seyed Mohsen Shahandashti | |
contributor author | Engin Burak Anil | |
date accessioned | 2017-05-08T21:39:23Z | |
date available | 2017-05-08T21:39:23Z | |
date copyright | October 2011 | |
date issued | 2011 | |
identifier other | %28asce%29co%2E1943-7862%2E0000338.pdf | |
identifier uri | http://yetl.yabesh.ir/yetl/handle/yetl/58490 | |
description 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. | |
publisher | American Society of Civil Engineers | |
title | Sensing and Field Data Capture for Construction and Facility Operations | |
type | Journal Paper | |
journal volume | 137 | |
journal issue | 10 | |
journal title | Journal of Construction Engineering and Management | |
identifier doi | 10.1061/(ASCE)CO.1943-7862.0000332 | |
tree | Journal of Construction Engineering and Management:;2011:;Volume ( 137 ):;issue: 010 | |
contenttype | Fulltext |