Research trend analysis for construction automation

Kiyoun Pyo; Dongmin Lee; Dongyoun Lee; Hyunsu Lim; Hunhee Cho; Kyung In Kang

Research trend analysis for construction automation

Kiyoun Pyo, Dongmin Lee, Dongyoun Lee, Hyunsu Lim, Hunhee Cho, Kyung In Kang

Research output: Contribution to conference › Paper › peer-review

Abstract

Automation has been an active research topic in the construction industry for many years to improve the accuracy, reliability, and efficiency of the construction process. This study identifies global research trends in automation in construction during the past 15 years by analyzing papers published in the journal Automation in Construction. Text mining, data clustering, and keyword network analysis were applied to identify emerging technologies. According to the clustering of the most recent three years’ research, the main topics fall into seven categories: BIM(building information modeling), optimization, data acquisition, big data and AI, 3-D printing, wearable devices, and others. Over the various regions and periods, the results showed that the research focus has shifted from traditional mechanical automation to construction data acquisition, management, and analysis, introducing a new historical period in construction automation.

Original language	English
Publication status	Published - 2018
Event	35th International Symposium on Automation and Robotics in Construction and International AEC/FM Hackathon: The Future of Building Things, ISARC 2018 - Berlin, Germany Duration: 2018 Jul 20 → 2018 Jul 25

Other

Other	35th International Symposium on Automation and Robotics in Construction and International AEC/FM Hackathon: The Future of Building Things, ISARC 2018
Country/Territory	Germany
City	Berlin
Period	18/7/20 → 18/7/25

Bibliographical note

Funding Information:
This research was supported by a grant (18AUDP-B106327-04) from the Architecture & Urban Development Research Program funded by the Ministry of Land, Infrastructure and Transport of the Korean Government.

Funding Information:
This work was also supported by the National Research Foundation of Korea through a grant funded by the Korean Government (2016R1A2B3015348). The contribution of the Ministry of Science, ICT and Future Planning is gratefully acknowledged.

Publisher Copyright:
© ISARC 2018 - 35th International Symposium on Automation and Robotics in Construction and International AEC/FM Hackathon: The Future of Building Things. All rights reserved.

Keywords

Construction automation
K-means clustering
Keyword network
Text mining
Trend analysis

ASJC Scopus subject areas

Computer Vision and Pattern Recognition
Artificial Intelligence
Building and Construction

Cite this

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title = "Research trend analysis for construction automation",

abstract = "Automation has been an active research topic in the construction industry for many years to improve the accuracy, reliability, and efficiency of the construction process. This study identifies global research trends in automation in construction during the past 15 years by analyzing papers published in the journal Automation in Construction. Text mining, data clustering, and keyword network analysis were applied to identify emerging technologies. According to the clustering of the most recent three years{\textquoteright} research, the main topics fall into seven categories: BIM(building information modeling), optimization, data acquisition, big data and AI, 3-D printing, wearable devices, and others. Over the various regions and periods, the results showed that the research focus has shifted from traditional mechanical automation to construction data acquisition, management, and analysis, introducing a new historical period in construction automation.",

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author = "Kiyoun Pyo and Dongmin Lee and Dongyoun Lee and Hyunsu Lim and Hunhee Cho and Kang, {Kyung In}",

note = "Funding Information: This research was supported by a grant (18AUDP-B106327-04) from the Architecture & Urban Development Research Program funded by the Ministry of Land, Infrastructure and Transport of the Korean Government. Funding Information: This work was also supported by the National Research Foundation of Korea through a grant funded by the Korean Government (2016R1A2B3015348). The contribution of the Ministry of Science, ICT and Future Planning is gratefully acknowledged. Publisher Copyright: {\textcopyright} ISARC 2018 - 35th International Symposium on Automation and Robotics in Construction and International AEC/FM Hackathon: The Future of Building Things. All rights reserved.; 35th International Symposium on Automation and Robotics in Construction and International AEC/FM Hackathon: The Future of Building Things, ISARC 2018 ; Conference date: 20-07-2018 Through 25-07-2018",

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TY - CONF

T1 - Research trend analysis for construction automation

AU - Pyo, Kiyoun

AU - Lee, Dongmin

AU - Lee, Dongyoun

AU - Lim, Hyunsu

AU - Cho, Hunhee

AU - Kang, Kyung In

N1 - Funding Information: This research was supported by a grant (18AUDP-B106327-04) from the Architecture & Urban Development Research Program funded by the Ministry of Land, Infrastructure and Transport of the Korean Government. Funding Information: This work was also supported by the National Research Foundation of Korea through a grant funded by the Korean Government (2016R1A2B3015348). The contribution of the Ministry of Science, ICT and Future Planning is gratefully acknowledged. Publisher Copyright: © ISARC 2018 - 35th International Symposium on Automation and Robotics in Construction and International AEC/FM Hackathon: The Future of Building Things. All rights reserved.

PY - 2018

Y1 - 2018

N2 - Automation has been an active research topic in the construction industry for many years to improve the accuracy, reliability, and efficiency of the construction process. This study identifies global research trends in automation in construction during the past 15 years by analyzing papers published in the journal Automation in Construction. Text mining, data clustering, and keyword network analysis were applied to identify emerging technologies. According to the clustering of the most recent three years’ research, the main topics fall into seven categories: BIM(building information modeling), optimization, data acquisition, big data and AI, 3-D printing, wearable devices, and others. Over the various regions and periods, the results showed that the research focus has shifted from traditional mechanical automation to construction data acquisition, management, and analysis, introducing a new historical period in construction automation.

AB - Automation has been an active research topic in the construction industry for many years to improve the accuracy, reliability, and efficiency of the construction process. This study identifies global research trends in automation in construction during the past 15 years by analyzing papers published in the journal Automation in Construction. Text mining, data clustering, and keyword network analysis were applied to identify emerging technologies. According to the clustering of the most recent three years’ research, the main topics fall into seven categories: BIM(building information modeling), optimization, data acquisition, big data and AI, 3-D printing, wearable devices, and others. Over the various regions and periods, the results showed that the research focus has shifted from traditional mechanical automation to construction data acquisition, management, and analysis, introducing a new historical period in construction automation.

KW - Construction automation

KW - K-means clustering

KW - Keyword network

KW - Text mining

KW - Trend analysis

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M3 - Paper

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T2 - 35th International Symposium on Automation and Robotics in Construction and International AEC/FM Hackathon: The Future of Building Things, ISARC 2018

Y2 - 20 July 2018 through 25 July 2018

ER -

Research trend analysis for construction automation

Abstract

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Bibliographical note

Keywords

ASJC Scopus subject areas

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