Title: Research on a safety evaluation method based on ANP-fuzzy decision for coal mine ventilation system

Authors: Hongjuan Cai; Hengqiang Gao

Addresses: College of Information Science and Engineering, Wuchang Shouyi University, Wuhan, Hubei, China ' School of Mechanical Engineering and Electronic Information, China University of Geosciences, Wuhan, Hubei, China

Abstract: Aiming at the ambiguity and randomness of the indicators in the comprehensive evaluation of the safety of the mine ventilation system, a two-level fuzzy comprehensive evaluation model of safety is established. In this paper, to calculate the indicators which have enhanced the objectivity and scientific of the safety evaluation of the mine ventilation system, network analytic method (ANP) is used. By utilising this ANP method, the obtained results indicated that the safety level of the mine was only 'general safety'. Through single-factor evaluation and analysis of the weights of various indicators, the system can be based on the employees' physical fatigue (A3), employees' attendance (A7), volume fraction of gas and toxic gas (C3), dust mass concentration (C5), air volume supply-demand ratio (C7), ventilation system hole volume ratio (C8) and regular inspection (B1) to improve the safety of the mine ventilation system.

Keywords: ANP; fuzzy comprehensive decision; coal mine ventilation system; safety evaluation.

DOI: 10.1504/IJWMC.2022.127599

International Journal of Wireless and Mobile Computing, 2022 Vol.23 No.3/4, pp.318 - 328

Received: 12 May 2022
Received in revised form: 05 Jun 2022
Accepted: 16 Jun 2022
Published online: 12 Dec 2022 *

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