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2021 Fiscal Year Final Research Report

Creating hazard estimation maps in construction site using biometric data of construction workers

Research Project

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Project/Area Number 19K23529
Research Category

Grant-in-Aid for Research Activity Start-up

Allocation TypeMulti-year Fund
Review Section 0303:Civil engineering, social systems engineering, safety engineering, disaster prevention engineering, and related fields
Research InstitutionThe University of Tokyo

Principal Investigator

Hamasaki Shunsuke  東京大学, 大学院工学系研究科(工学部), 特任助教 (10849003)

Project Period (FY) 2019-08-30 – 2022-03-31
Keywords建設現場の安全 / 生体計測
Outline of Final Research Achievements

The purposes of this reserach is to create a hazard estimation map that can adaptively respond to dynamically changing construction site. To deal with dynamically change of construction site conditions, i focused on the biometric data of workers. In the case of observation by surveillance cameras, it may be necessary to change the camera position or angle due to reasons such as occlusion, but workers bio-data can respond to dynamically changing construction site conditions because they move in response to the changes of site. In this study, we confirmed that it is possible to extract dangerous areas by biometric data (blink and heart rate) and conducting VR experiments and actual walking experiments. We create hazard estimation maps and confirmed the effectiveness of this method.

Free Research Field

安全,ヒューマンロボットインタラクション

Academic Significance and Societal Importance of the Research Achievements

日本では少子高齢化が進んでおり,土木建設工事の現場において就業者数の減少による労働力不足が問題となっている.労働力不足の解決や生産性の向上を目的として,高度な建設機械の導入や無人化可能な建設機械の開発,運用の研究が進んでいる一方で,現場を完全に無人化することは技術面でもコスト面でも未だ困難であるため,徐々に自動化されていく建設機械と作業者とが現場で共存していく必要がある.この状況で,作業者の安全という課題がより注目されている.本研究の成果により,動的に変化する工事現場に柔軟に対応して危険の推定を行うことが可能になり,安全な工事プランの策定や現場の構築に寄与できる点で意義深い.

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Published: 2023-01-30  

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