Back to Search

Tracking major resources for automated progress monitoring of construction activities: masonry work case

Title	Tracking major resources for automated progress monitoring of construction activities: masonry work case
Author	Işın, Gürşans Güven, Ergen, E.
Publication Date:	2021-10-21
Publication Place	- Emerald
Subject	Data fusion, Field test, Progress monitoring, Resource tracking, RFID, Sensor-based technologies
Type	Periodical
Language	English
Digital	Yes
Manuscript	No
Library:	Özyeğin University
Library Asset ID	1471-4175
Record ID	6659cf6a-c55f-4222-85af-5d2202179a7d
Library Location	Civil Engineering
Date	2021-10-21
Notes	TÜBİTAK
Sample Text	Purpose: The purpose of this study is to monitor the progress of construction activities in an automated way by using sensor-based technologies for tracking multiple resources that are used in building construction. Design/methodology/approach: An automated on-site progress monitoring approach was proposed and a proof-of-concept prototype was developed, followed by a field experimentation study at a high-rise building construction site. The developed approach was used to integrate sensor data collected from multiple resources used in different steps of an activity. It incorporated the domain-specific heuristics that were related to the site layout conditions and method of activity. Findings: The prototype estimated the overall progress with 95% accuracy. More accurate and up-to-date progress measurement was achieved compared to the manual approach, and the need for visual inspections and manual data collection from the field was eliminated. Overall, the field experiments demonstrated that low-cost implementation is possible, if readily available or embedded sensors on equipment are used. Originality/value: Previous studies either monitored one particular piece of equipment or the developed approaches were only applicable to limited activity types. This study demonstrated that it is technically feasible to determine progress at the site by fusing sensor data that are collected from multiple resources during the construction of building superstructure. The rule-based reasoning algorithms, which were developed based on a typical work practice of cranes and hoists, can be adapted to other activities that involve transferring bulk materials and use cranes and/or hoists for material handling.
DOI	10.1108/CI-05-2020-0081
Cilt	21

View in source Özyeğin University Özyeğin University - Historical works, archives, and periodicals search engine

Özyeğin University

Tracking major resources for automated progress monitoring of construction activities: masonry work case

Author Işın, Gürşans Güven, Ergen, E.

Publication Date 2021-10-21

Publication Place - Emerald

Subject Data fusion, Field test, Progress monitoring, Resource tracking, RFID, Sensor-based technologies

Type Periodical

Language English

Digital Yes

Manuscript No

Library Özyeğin University

Library Asset ID 1471-4175

Record ID 6659cf6a-c55f-4222-85af-5d2202179a7d

Library Location Civil Engineering

Date 2021-10-21

Notes TÜBİTAK

Sample Text Purpose: The purpose of this study is to monitor the progress of construction activities in an automated way by using sensor-based technologies for tracking multiple resources that are used in building construction. Design/methodology/approach: An automated on-site progress monitoring approach was proposed and a proof-of-concept prototype was developed, followed by a field experimentation study at a high-rise building construction site. The developed approach was used to integrate sensor data collected from multiple resources used in different steps of an activity. It incorporated the domain-specific heuristics that were related to the site layout conditions and method of activity. Findings: The prototype estimated the overall progress with 95% accuracy. More accurate and up-to-date progress measurement was achieved compared to the manual approach, and the need for visual inspections and manual data collection from the field was eliminated. Overall, the field experiments demonstrated that low-cost implementation is possible, if readily available or embedded sensors on equipment are used. Originality/value: Previous studies either monitored one particular piece of equipment or the developed approaches were only applicable to limited activity types. This study demonstrated that it is technically feasible to determine progress at the site by fusing sensor data that are collected from multiple resources during the construction of building superstructure. The rule-based reasoning algorithms, which were developed based on a typical work practice of cranes and hoists, can be adapted to other activities that involve transferring bulk materials and use cranes and/or hoists for material handling.

DOI 10.1108/CI-05-2020-0081

Cilt 21