Citation

Zhou C, Ju L. China Saf. Sci. J. 2020; 30(8): 86-92.

Copyright

(Copyright © 2020, China Occupational Safety and Health Association, Publisher Gai Xue bao)

DOI

10.16265/j.cnki.issn1003-3033.2020.08.013

PMID

unavailable

Abstract

In order to fill up blank of risk assessment methods for mechanical safety risk early warning, an evaluation method was proposed. Firstly, steps of risk assessment were determined according to unsafe factors generated by workers, machines and environments, which mainly included monitoring value input, risk value calculation, early warning level determination and early warning information release. Secondly, a quantified risk value calculation model was put forward, and warning level determination and information release methods were presented. Finally, the proposed evaluation method was verified with risk assessment example of a certain mechanical arm. The research shows that this method comprehensively considers risk factors of workers, machines and environments, and can release real-time hierarchical risk early warning of intelligent manufacturing system according to risk value calculation model. © 2020 China Safety Science Journal. All rights reserved.

Language: zh