Development of a Multi-Layer Marking Toolkit for Layout-Printing Automation at Construction Sites.

construction layout printing marking multi-layer toolkit robot in construction

Journal

Sensors (Basel, Switzerland)
ISSN: 1424-8220
Titre abrégé: Sensors (Basel)
Pays: Switzerland
ID NLM: 101204366

Informations de publication

Date de publication:
25 Jun 2022
Historique:
received: 11 05 2022
revised: 15 06 2022
accepted: 22 06 2022
entrez: 9 7 2022
pubmed: 10 7 2022
medline: 14 7 2022
Statut: epublish

Résumé

In this study, the development of a multi-layer marking toolkit was investigated to improve construction quality and mitigate the problem of irregular designs in the layout-printing work performed at construction sites. The quality of conventional layout-printing work is dependent on the skill of the worker, and construction quality can suffer owing to inconsistencies in drawings resulting from human error. In this study, these problems were analyzed, and a construction-site-layout-marking toolkit apparatus and mechanical unit, with a structure that allowed for multi-layer installation for automated implementation at construction sites, were developed. The marking toolkit and mechanical unit with the multi-layer structure were developed in a modular form so that each module can operate independently. Furthermore, each module was developed in manual mode to improve the system by acquiring information on the movement of the marking toolkit and multi-layer structure. Additionally, data on the layout-printing method was developed by connecting the system via Ethernet and operating a wireless joystick. Finally, experiments were performed on a road surface covered with B4 paper and concrete panels to confirm the operational feasibility of the system, which was developed to operate manually.

Identifiants

pubmed: 35808319
pii: s22134822
doi: 10.3390/s22134822
pmc: PMC9268895
pii:
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Subventions

Organisme : the Korea Agency for Infrastructure Technology Advancement(KAIA)
ID : 21CTAP-C163606-01

Auteurs

Eun Soo Park (ES)

Department of Architecture, Sahmyook University, Seoul 01795, Korea.

Hee Chang Seo (HC)

BIMFACTORY, Seoul 03081, Korea.

An Yong Lee (AY)

Department of Smart Factory, Korea Polytechnics, Incheon 21417, Korea.

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Classifications MeSH