A platform for research: civil engineering, architecture and urbanism
A platform for research: civil engineering, architecture and urbanism
3D fuzzy ergonomic analysis for rapid workplace design and modification in construction
Abstract Accurate ergonomic risk assessment is a key to effective workplace design and modification in construction. However, conventional ergonomic risk assessment methods are time-consuming, error-prone, require human subjects, and are hindered by inter- and intra-observer reliability issues. This paper proposes an automated proactive 3D fuzzy ergonomic risk analysis method that accurately quantifies ergonomic risks of continuous motions for rapid workplace design and modification, addressing all of the aforementioned limitations. A specialized rule-based fuzzy inference algorithm is integrated with 3D automated posture-based ergonomic risk assessments to better capture the gradual transitions characteristic of continuous human motion without abrupt changes in risk ratings. This method is tested in a repetitive lifting experiment, which proves its improved accuracy and reliability for ergonomic risk assessment. The results of the analysis are expected to facilitate the enhancement of safety performance, production performance, and market competitiveness in industrialized construction.
Highlights A fuzzy logic-based method is proposed for proactive ergonomic risk assessment. Data adaption, fuzzy processing, and result interpretation are automated. Fuzzy risk value leads to more accurate and reliable ergonomic risk assessments. The gradual transitions characteristic of continuous human motion can be captured. The system is capable of proposing work modification during the design phase.
3D fuzzy ergonomic analysis for rapid workplace design and modification in construction
Abstract Accurate ergonomic risk assessment is a key to effective workplace design and modification in construction. However, conventional ergonomic risk assessment methods are time-consuming, error-prone, require human subjects, and are hindered by inter- and intra-observer reliability issues. This paper proposes an automated proactive 3D fuzzy ergonomic risk analysis method that accurately quantifies ergonomic risks of continuous motions for rapid workplace design and modification, addressing all of the aforementioned limitations. A specialized rule-based fuzzy inference algorithm is integrated with 3D automated posture-based ergonomic risk assessments to better capture the gradual transitions characteristic of continuous human motion without abrupt changes in risk ratings. This method is tested in a repetitive lifting experiment, which proves its improved accuracy and reliability for ergonomic risk assessment. The results of the analysis are expected to facilitate the enhancement of safety performance, production performance, and market competitiveness in industrialized construction.
Highlights A fuzzy logic-based method is proposed for proactive ergonomic risk assessment. Data adaption, fuzzy processing, and result interpretation are automated. Fuzzy risk value leads to more accurate and reliable ergonomic risk assessments. The gradual transitions characteristic of continuous human motion can be captured. The system is capable of proposing work modification during the design phase.
3D fuzzy ergonomic analysis for rapid workplace design and modification in construction
Wang, Jingwen (author) / Han, SangHyeok (author) / Li, Xinming (author)
2020-12-17
Article (Journal)
Electronic Resource
English
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