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Journal Article

Citation

Ji K, Li Z, Liu S, Zhang X, Wang G, Wang X. China Saf. Sci. J. 2022; 32(12): 102-109.

Copyright

(Copyright © 2022, China Occupational Safety and Health Association, Publisher Gai Xue bao)

DOI

10.16265/j.cnki.issn1003-3033.2022.12.2769

PMID

unavailable

Abstract

In order to improve the safety of port quayside bridge construction, the risk level of quayside bridge installation was determined by identifying the risk factors of quay crane installation. With the safety risk assessment of quay crane installation as the top goal, a risk assessment model based on (C⁃AHP) was proposed. Firstly, a quay crane installation assessment index system from 4 aspects, human, machine, environment and management, was constructed. The concept of the cloud model was introduced to modify the traditional AHP method scalar theory. The randomness, fuzziness and dispersion of the system were represented by 3 numerical features, expectation, entropy and super entropy, so as to determine the relative weights of each index and the cloud numerical features of risk values. The randomness and fuzziness of each index were quantified by the cloud model, and the overall evaluation results were obtained. Finally, an example analysis was carried out based on the installation of a quay crane at a container terminal in Tianjin port. The results show that the equipment factor has the highest degree of influence on the safety risk of quay crane installation construction, followed by environmental factors, management factors and personnel factors. The overall risk value for the construction safety of the quay crane installation is 47. 769, with a risk level of II, which is within the acceptable guideline range and in line with the actual assessment results. © 2022 China Safety Science Journal. All rights reserved.


Language: zh

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