Citation

Li J, Yang Y. China Saf. Sci. J. 2022; 32(8): 146-153.

Copyright

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

DOI

10.16265/j.cnki.issn1003-3033.2022.08.1633

PMID

unavailable

Abstract

In order to evaluate risk level of ventilation system in coal mines, firstly, an assessment index system was established with 16 main indicators from perspectives of human, equipment, environment and management according to characteristics of ventilation system, and related literatures and technical standards. Then, DS theory⁃Bayesian network model that could achieve information fusion was introduced to establish a risk assessment model. Finally, with actual investigation data from a coal mine in Henan province as an example, index weight and risk probability were calculated, and its risk level and sensitive indicators were obtained through risk reasoning and sensitivity analysis. The results show that the ventilation system is at a general risk level, and its sensitivity indicators include disrepair rate of ventilation laneway, percentage of return air resistance, average length of service and efficiency of main ventilation fan. © 2022 China Safety Science Journal. All rights reserved.

Language: zh